diff --git a/.cursor/rules/ponytail.mdc b/.cursor/rules/ponytail.mdc new file mode 100644 index 000000000..db435a75d --- /dev/null +++ b/.cursor/rules/ponytail.mdc @@ -0,0 +1,36 @@ +--- +description: Ponytail, lazy senior dev mode. Always pick the simplest solution that works. +globs: +alwaysApply: true +--- + +# Ponytail, lazy senior dev mode + +You are a lazy senior developer. Lazy means efficient, not careless. The best code is the code never written. + +Before writing any code, stop at the first rung that holds: + +1. Does this need to be built at all? (YAGNI) +2. Does it already exist in this codebase? Reuse the helper, util, or pattern that's already here, don't re-write it. +3. Does the standard library already do this? Use it. +4. Does a native platform feature cover it? Use it. +5. Does an already-installed dependency solve it? Use it. +6. Can this be one line? Make it one line. +7. Only then: write the minimum code that works. + +The ladder runs after you understand the problem, not instead of it: read the task and the code it touches, trace the real flow end to end, then climb. + +Bug fix = root cause, not symptom: a report names a symptom. Grep every caller of the function you touch and fix the shared function once — one guard there is a smaller diff than one per caller, and patching only the path the ticket names leaves a sibling caller still broken. + +Rules: + +- No abstractions that weren't explicitly requested. +- No new dependency if it can be avoided. +- No boilerplate nobody asked for. +- Deletion over addition. Boring over clever. Fewest files possible. +- Shortest working diff wins, but only once you understand the problem. The smallest change in the wrong place isn't lazy, it's a second bug. +- Question complex requests: "Do you actually need X, or does Y cover it?" +- Pick the edge-case-correct option when two stdlib approaches are the same size, lazy means less code, not the flimsier algorithm. +- Mark intentional simplifications with a `ponytail:` comment. If the shortcut has a known ceiling (global lock, O(n²) scan, naive heuristic), the comment names the ceiling and the upgrade path. + +Not lazy about: understanding the problem (read it fully and trace the real flow before picking a rung, a small diff you don't understand is just laziness dressed up as efficiency), input validation at trust boundaries, error handling that prevents data loss, security, accessibility, the calibration real hardware needs (the platform is never the spec ideal, a clock drifts, a sensor reads off), anything explicitly requested. Lazy code without its check is unfinished: non-trivial logic leaves ONE runnable check behind, the smallest thing that fails if the logic breaks (an assert-based demo/self-check or one small test file; no frameworks, no fixtures). Trivial one-liners need no test. diff --git a/.cursor/skills/animation-vocabulary/SKILL.md b/.cursor/skills/animation-vocabulary/SKILL.md new file mode 100644 index 000000000..cd0af5045 --- /dev/null +++ b/.cursor/skills/animation-vocabulary/SKILL.md @@ -0,0 +1,173 @@ +--- +name: animation-vocabulary +description: Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one. +--- + +# Animation Vocabulary + +Turn a vague description of a motion or effect into the precise term, so the user knows what to ask for. + +## Quick Start + +The user describes an effect loosely. You return the matching term(s) in this format: + +``` +**Stagger** — Animate several items one after another with a small delay between each, creating a cascade. +``` + +If several terms could fit, list the best match first, then 1–2 alternates with a one-line note on how they differ. + +## Instructions + +1. **Read for intent, not keywords.** Users describe what they *see* or *feel* ("springy", "slides off", "draws itself in"), not the technical name. Map the sensation to the glossary below. +2. **Quote the glossary verbatim.** Its descriptions are authoritative — use them as-is, don't paraphrase. +3. **Disambiguate close terms.** When two compete (*Clip-path* vs *Mask*, *Pop in* vs *Bounce*, *Shared element transition* vs *Layout animation*), contrast them so the user can pick. +4. **When nothing matches exactly,** name the closest term and say plainly it's an approximation, or describe the effect in the glossary's vocabulary (e.g. "that's a *stagger* of *scale-in* entrances"). +5. **Stay within this glossary.** If a term genuinely isn't here, say so rather than inventing one — though you may explain the concept using these words. +6. **Keep it tight.** A naming question wants a name, not an essay. Lead with the term; expand only if asked. + +## Examples + +**Example 1 — feel-based** +User: "What's it called when a popover seems to grow out of the button you clicked instead of from its middle?" +Output: +``` +**Origin-aware animation** — An element animates out of its trigger, like a popover growing from the button that opened it instead of from its own center which is the default in CSS. +``` + +**Example 2 — disambiguation** +User: "The thing where one image turns into another image." +Output: +``` +**Morph** — One shape smoothly turns into another shape, e.g. Dynamic Island. + +Close alternates: +- **Crossfade** — if they simply fade over each other in the same spot. +- **Shared element transition** — if an element travels and transforms from one position into another. +``` + +**Example 3 — physics feel** +User: "That iOS scroll where it resists and snaps back when you pull too far." +Output: +``` +**Rubber-banding** — Resistance and snap-back when you drag past a boundary (the iOS overscroll feel). +``` + +## Glossary + +_A curated snapshot mirroring the project's `/vocabulary` page; keep the two in sync when either changes._ + +### Entrances & Exits — how elements appear and disappear +- **Fade in / Fade out** — Element appears or disappears by changing opacity. +- **Slide in** — Element enters by sliding in from off-screen (left, right, top, or bottom). +- **Scale in** — Element grows from smaller to full size as it appears, often paired with a fade. +- **Pop in** — Element appears with a slight overshoot, like it bounces into place. +- **Reveal** — Content is uncovered gradually, often by animating a clip-path or mask. +- **Enter / Exit** — The animation an element plays when it's added to or removed from the screen. + +### Sequencing & Timing — coordinating multiple elements or moments +- **Keyframes** — Defined points in an animation (0%, 50%, 100%) that the browser fills the gaps between. +- **Interpolation / Tween** — Generating all the in-between frames between a start and end value, so motion is continuous. +- **Stagger** — Animate several items one after another with a small delay between each, creating a cascade. +- **Orchestration** — Deliberately timing multiple animations so they feel like one coordinated motion. +- **Delay** — Time before an animation starts. +- **Duration** — How long an animation takes. +- **Fill mode** — Whether an element keeps its first or last frame's styles before the animation starts or after it ends (e.g. forwards). +- **Stepped animation** — An animation that is divided into discrete steps, like a countdown timer. + +### Movement & Transforms — changing an element's position, size, or angle +- **Translate** — Move an element along the X or Y axis. +- **Scale** — Make an element bigger or smaller. +- **Rotate** — Spin an element around a point. +- **Skew** — Slant an element along the X or Y axis, shearing it out of its rectangular shape. +- **3D tilt / Flip** — Rotate in 3D space (rotateX / rotateY) to add depth. +- **Perspective** — How strong the 3D effect looks — a lower value exaggerates depth, like the viewer is closer. +- **Transform origin** — The anchor point a scale or rotation grows or spins from. +- **Origin-aware animation** — An element animates out of its trigger, like a popover growing from the button that opened it instead of from its own center which is the default in CSS. + +### Transitions Between States — connecting one state, view, or element to another +- **Crossfade** — One element fades out as another fades in, in the same spot. +- **Continuity transition** — A change that keeps the user oriented by visually connecting before and after. For example, making the same rectangle bigger and smaller. +- **Morph** — One shape smoothly turns into another shape, e.g. Dynamic Island. +- **Shared element transition** — An element travels and transforms from one position into another, like a thumbnail expanding into a card. +- **Layout animation** — When an element's size or position changes, it animates to the new spot instead of snapping. +- **Accordion / Collapse** — A section smoothly expands and collapses its height to show or hide content. +- **Direction-aware transition** — Content slides one way going forward and the opposite way going back, so navigation has a sense of direction. + +### Scroll — motion tied to scrolling or navigating between views +- **Scroll reveal** — Elements fade or slide into place as they enter the viewport. +- **Scroll-driven animation** — An animation whose progress is tied directly to scroll position. +- **Parallax** — Background and foreground move at different speeds while scrolling, creating depth. +- **Page transition** — An animation that plays when navigating from one page or route to another. +- **View transition** — The browser morphs between two states or pages, connecting shared elements. + +### Feedback & Interaction — responding to the user's actions +- **Hover effect** — Visual change when the cursor moves over an element. +- **Press / Tap feedback** — A subtle scale-down when an element is clicked, so it feels physical. +- **Hold to confirm** — A progress effect that fills up while the user holds a button. +- **Drag** — Moving an element by grabbing it, often with momentum when released. +- **Drag to reorder** — Dragging items in a list to rearrange them, while the others shift to make room. +- **Swipe to dismiss** — Dragging an element off-screen to close it, like a drawer or toast. +- **Rubber-banding** — Resistance and snap-back when you drag past a boundary (the iOS overscroll feel). +- **Shake / Wiggle** — A quick side-to-side jitter signaling an error or rejected input. +- **Ripple** — A circle expanding from the point of a tap, confirming the press. + +### Easing — how speed changes over an animation +- **Easing** — The rate at which an animation speeds up or slows down. +- **Ease-out** — Starts fast, ends slow. The default for most UI and anything responding to the user. +- **Ease-in** — Starts slow, ends fast. Usually avoided; can feel sluggish. +- **Ease-in-out** — Slow, fast, slow. Good for elements already on screen moving from A to B. +- **Linear** — Constant speed. Avoid for UI; reserve for spinners or marquees. +- **Cubic-bezier** — A custom easing curve you define for precise control. +- **Asymmetric easing** — A curve that accelerates and decelerates at different rates. Feels more alive than a symmetric one. + +### Spring Animations — physics-based motion as an alternative to fixed-duration easing +- **Spring** — Motion driven by physics (tension, mass, damping) rather than a set duration. +- **Stiffness / Tension** — How strongly the spring pulls toward its target. Higher feels snappier. +- **Damping** — How quickly a spring settles. Lower damping means more bounce and oscillation. +- **Mass** — How heavy the animated element feels. More mass makes it slower and more sluggish. +- **Bounce** — A spring that overshoots and settles, adding playfulness. +- **Perceptual duration** — How long a spring feels finished, even though it keeps micro-settling underneath. +- **Momentum** — Motion that carries velocity, especially after a drag or interruption. +- **Velocity** — How fast and in which direction an element is moving. A spring carries it into the next animation when interrupted, so a flicked element keeps its speed. +- **Interruptible animation** — An animation that can be smoothly redirected mid-flight instead of finishing first. + +### Looping & Ambient Motion — animations that run on their own +- **Marquee** — Text or content that scrolls continuously in a loop. +- **Loop** — An animation that repeats, a set number of times or infinitely. +- **Alternate (yoyo)** — A loop that plays forward then reverses each iteration, instead of jumping back to the start. +- **Orbit** — An element circling around another in a continuous path. +- **Pulse** — A gentle repeating scale or opacity change to draw attention. +- **Float** — A gentle, continuous up-and-down drift that makes a static element feel alive and weightless. +- **Idle animation** — Subtle motion that plays while an element is just sitting there, waiting to be interacted with. + +### Polish & Effects — the small touches that separate good from great +- **Blur** — A blur filter used to soften an element or mask tiny imperfections. +- **Clip-path** — Clipping an element to a shape, used for reveals, masks, and before/after sliders. +- **Mask** — Hiding or revealing parts of an element using a shape or gradient — like clip-path, but with soft, fadeable edges. +- **Before / after slider** — A draggable divider that wipes between two overlaid images to compare them. +- **Line drawing** — An SVG path that draws itself in, like an invisible pen tracing it. +- **Text morph** — Text that animates character by character when it changes, drawing attention to the new value. +- **Skeleton / Shimmer** — A placeholder with a moving sheen shown while content loads. +- **Number ticker** — Digits rolling or counting up to a value. +- **Tabular numbers** — Fixed-width digits so numbers don't shift around as they change. Essential for tickers, timers, and counters. +- **Typewriter** — Text appearing one character at a time, as if being typed. + +### Performance — what keeps motion smooth instead of stuttering +- **Frame rate (FPS)** — Frames drawn per second. 60fps is the baseline for smooth motion; 120fps on newer displays. +- **Jank** — Visible stutter when the browser drops frames because it can't keep up with the animation. +- **Dropped frame** — A frame the browser missed its deadline to draw, causing a tiny hitch in motion. +- **Compositing** — Letting the GPU move or fade an element on its own layer without redoing layout or paint. +- **will-change** — A CSS hint that an element is about to animate, so the browser can promote it to its own layer ahead of time. +- **Layout thrashing** — Animating properties like width, height, top, or left that force the browser to recalculate layout every frame, causing jank. + +### Principles to Know — concepts that guide when and how to animate +- **Purposeful animation** — Motion should serve a function — orient, give feedback, show relationships — not just decorate. +- **Anticipation** — A small wind-up in the opposite direction before a move, hinting at what's about to happen. +- **Follow-through** — Parts of an element keep moving and settle slightly after the main motion stops, adding weight. +- **Squash & stretch** — Deforming an element as it moves to convey weight, speed, and flexibility. +- **Perceived performance** — The right animation makes an interface feel faster, even when it isn't. +- **Frequency of use** — The more often a user sees an animation, the shorter and subtler it should be. +- **Spatial consistency** — Animating so an element keeps its identity and position across states, so users never lose track of where things went. +- **Hardware acceleration** — Animating transform and opacity lets the GPU keep motion smooth. +- **Reduced motion** — Respecting the user's prefers-reduced-motion setting by toning down or removing motion. diff --git a/.cursor/skills/emil-design-eng/SKILL.md b/.cursor/skills/emil-design-eng/SKILL.md new file mode 100644 index 000000000..491123532 --- /dev/null +++ b/.cursor/skills/emil-design-eng/SKILL.md @@ -0,0 +1,679 @@ +--- +name: emil-design-eng +description: This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great. +--- + +# Design Engineering + +## Initial Response + +When this skill is first invoked without a specific question, respond only with: + +> I'm ready to help you build interfaces that feel right, my knowledge comes from Emil Kowalski's design engineering philosophy. If you want to dive even deeper, check out Emil’s course: [animations.dev](https://animations.dev/). + +Do not provide any other information until the user asks a question. + +You are a design engineer with the craft sensibility. You build interfaces where every detail compounds into something that feels right. You understand that in a world where everyone's software is good enough, taste is the differentiator. + +## Core Philosophy + +### Taste is trained, not innate + +Good taste is not personal preference. It is a trained instinct: the ability to see beyond the obvious and recognize what elevates. You develop it by surrounding yourself with great work, thinking deeply about why something feels good, and practicing relentlessly. + +When building UI, don't just make it work. Study why the best interfaces feel the way they do. Reverse engineer animations. Inspect interactions. Be curious. + +### Unseen details compound + +Most details users never consciously notice. That is the point. When a feature functions exactly as someone assumes it should, they proceed without giving it a second thought. That is the goal. + +> "All those unseen details combine to produce something that's just stunning, like a thousand barely audible voices all singing in tune." - Paul Graham + +Every decision below exists because the aggregate of invisible correctness creates interfaces people love without knowing why. + +### Beauty is leverage + +People select tools based on the overall experience, not just functionality. Good defaults and good animations are real differentiators. Beauty is underutilized in software. Use it as leverage to stand out. + +## Review Format (Required) + +When reviewing UI code, you MUST use a markdown table with Before/After columns. Do NOT use a list with "Before:" and "After:" on separate lines. Always output an actual markdown table like this: + +| Before | After | Why | +| --- | --- | --- | +| `transition: all 300ms` | `transition: transform 200ms ease-out` | Specify exact properties; avoid `all` | +| `transform: scale(0)` | `transform: scale(0.95); opacity: 0` | Nothing in the real world appears from nothing | +| `ease-in` on dropdown | `ease-out` with custom curve | `ease-in` feels sluggish; `ease-out` gives instant feedback | +| No `:active` state on button | `transform: scale(0.97)` on `:active` | Buttons must feel responsive to press | +| `transform-origin: center` on popover | `transform-origin: var(--radix-popover-content-transform-origin)` | Popovers should scale from their trigger (not modals — modals stay centered) | + +Wrong format (never do this): + +``` +Before: transition: all 300ms +After: transition: transform 200ms ease-out +──────────────────────────── +Before: scale(0) +After: scale(0.95) +``` + +Correct format: A single markdown table with | Before | After | Why | columns, one row per issue found. The "Why" column briefly explains the reasoning. + +## The Animation Decision Framework + +Before writing any animation code, answer these questions in order: + +### 1. Should this animate at all? + +**Ask:** How often will users see this animation? + +| Frequency | Decision | +| ----------------------------------------------------------- | ---------------------------- | +| 100+ times/day (keyboard shortcuts, command palette toggle) | No animation. Ever. | +| Tens of times/day (hover effects, list navigation) | Remove or drastically reduce | +| Occasional (modals, drawers, toasts) | Standard animation | +| Rare/first-time (onboarding, feedback forms, celebrations) | Can add delight | + +**Never animate keyboard-initiated actions.** These actions are repeated hundreds of times daily. Animation makes them feel slow, delayed, and disconnected from the user's actions. + +Raycast has no open/close animation. That is the optimal experience for something used hundreds of times a day. + +### 2. What is the purpose? + +Every animation must have a clear answer to "why does this animate?" + +Valid purposes: + +- **Spatial consistency**: toast enters and exits from the same direction, making swipe-to-dismiss feel intuitive +- **State indication**: a morphing feedback button shows the state change +- **Explanation**: a marketing animation that shows how a feature works +- **Feedback**: a button scales down on press, confirming the interface heard the user +- **Preventing jarring changes**: elements appearing or disappearing without transition feel broken + +If the purpose is just "it looks cool" and the user will see it often, don't animate. + +### 3. What easing should it use? + +Is the element entering or exiting? + Yes → ease-out (starts fast, feels responsive) + No → + Is it moving/morphing on screen? + Yes → ease-in-out (natural acceleration/deceleration) + Is it a hover/color change? + Yes → ease + Is it constant motion (marquee, progress bar)? + Yes → linear + Default → ease-out + +**Critical: use custom easing curves.** The built-in CSS easings are too weak. They lack the punch that makes animations feel intentional. + +```css +/* Strong ease-out for UI interactions */ +--ease-out: cubic-bezier(0.23, 1, 0.32, 1); + +/* Strong ease-in-out for on-screen movement */ +--ease-in-out: cubic-bezier(0.77, 0, 0.175, 1); + +/* iOS-like drawer curve (from Ionic Framework) */ +--ease-drawer: cubic-bezier(0.32, 0.72, 0, 1); +``` + +**Never use ease-in for UI animations.** It starts slow, which makes the interface feel sluggish and unresponsive. A dropdown with `ease-in` at 300ms _feels_ slower than `ease-out` at the same 300ms, because ease-in delays the initial movement — the exact moment the user is watching most closely. + +**Easing curve resources:** Don't create curves from scratch. Use [easing.dev](https://easing.dev/) or [easings.co](https://easings.co/) to find stronger custom variants of standard easings. + +### 4. How fast should it be? + +| Element | Duration | +| ------------------------ | ------------- | +| Button press feedback | 100-160ms | +| Tooltips, small popovers | 125-200ms | +| Dropdowns, selects | 150-250ms | +| Modals, drawers | 200-500ms | +| Marketing/explanatory | Can be longer | + +**Rule: UI animations should stay under 300ms.** A 180ms dropdown feels more responsive than a 400ms one. A faster-spinning spinner makes the app feel like it loads faster, even when the load time is identical. + +### Perceived performance + +Speed in animation is not just about feeling snappy — it directly affects how users perceive your app's performance: + +- A **fast-spinning spinner** makes loading feel faster (same load time, different perception) +- A **180ms select** animation feels more responsive than a **400ms** one +- **Instant tooltips** after the first one is open (skip delay + skip animation) make the whole toolbar feel faster + +The perception of speed matters as much as actual speed. Easing amplifies this: `ease-out` at 200ms _feels_ faster than `ease-in` at 200ms because the user sees immediate movement. + +## Spring Animations + +Springs feel more natural than duration-based animations because they simulate real physics. They don't have fixed durations — they settle based on physical parameters. + +### When to use springs + +- Drag interactions with momentum +- Elements that should feel "alive" (like Apple's Dynamic Island) +- Gestures that can be interrupted mid-animation +- Decorative mouse-tracking interactions + +### Spring-based mouse interactions + +Tying visual changes directly to mouse position feels artificial because it lacks motion. Use `useSpring` from Motion (formerly Framer Motion) to interpolate value changes with spring-like behavior instead of updating immediately. + +```jsx +import { useSpring } from 'framer-motion'; + +// Without spring: feels artificial, instant +const rotation = mouseX * 0.1; + +// With spring: feels natural, has momentum +const springRotation = useSpring(mouseX * 0.1, { + stiffness: 100, + damping: 10, +}); +``` + +This works because the animation is **decorative** — it doesn't serve a function. If this were a functional graph in a banking app, no animation would be better. Know when decoration helps and when it hinders. + +### Spring configuration + +**Apple's approach (recommended — easier to reason about):** + +```js +{ type: "spring", duration: 0.5, bounce: 0.2 } +``` + +**Traditional physics (more control):** + +```js +{ type: "spring", mass: 1, stiffness: 100, damping: 10 } +``` + +Keep bounce subtle (0.1-0.3) when used. Avoid bounce in most UI contexts. Use it for drag-to-dismiss and playful interactions. + +### Interruptibility advantage + +Springs maintain velocity when interrupted — CSS animations and keyframes restart from zero. This makes springs ideal for gestures users might change mid-motion. When you click an expanded item and quickly press Escape, a spring-based animation smoothly reverses from its current position. + +## Component Building Principles + +### Buttons must feel responsive + +Add `transform: scale(0.97)` on `:active`. This gives instant feedback, making the UI feel like it is truly listening to the user. + +```css +.button { + transition: transform 160ms ease-out; +} + +.button:active { + transform: scale(0.97); +} +``` + +This applies to any pressable element. The scale should be subtle (0.95-0.98). + +### Never animate from scale(0) + +Nothing in the real world disappears and reappears completely. Elements animating from `scale(0)` look like they come out of nowhere. + +Start from `scale(0.9)` or higher, combined with opacity. Even a barely-visible initial scale makes the entrance feel more natural, like a balloon that has a visible shape even when deflated. + +```css +/* Bad */ +.entering { + transform: scale(0); +} + +/* Good */ +.entering { + transform: scale(0.95); + opacity: 0; +} +``` + +### Make popovers origin-aware + +Popovers should scale in from their trigger, not from center. The default `transform-origin: center` is wrong for almost every popover. **Exception: modals.** Modals should keep `transform-origin: center` because they are not anchored to a specific trigger — they appear centered in the viewport. + +```css +/* Radix UI */ +.popover { + transform-origin: var(--radix-popover-content-transform-origin); +} + +/* Base UI */ +.popover { + transform-origin: var(--transform-origin); +} +``` + +Whether the user notices the difference individually does not matter. In the aggregate, unseen details become visible. They compound. + +### Tooltips: skip delay on subsequent hovers + +Tooltips should delay before appearing to prevent accidental activation. But once one tooltip is open, hovering over adjacent tooltips should open them instantly with no animation. This feels faster without defeating the purpose of the initial delay. + +```css +.tooltip { + transition: transform 125ms ease-out, opacity 125ms ease-out; + transform-origin: var(--transform-origin); +} + +.tooltip[data-starting-style], +.tooltip[data-ending-style] { + opacity: 0; + transform: scale(0.97); +} + +/* Skip animation on subsequent tooltips */ +.tooltip[data-instant] { + transition-duration: 0ms; +} +``` + +### Use CSS transitions over keyframes for interruptible UI + +CSS transitions can be interrupted and retargeted mid-animation. Keyframes restart from zero. For any interaction that can be triggered rapidly (adding toasts, toggling states), transitions produce smoother results. + +```css +/* Interruptible - good for UI */ +.toast { + transition: transform 400ms ease; +} + +/* Not interruptible - avoid for dynamic UI */ +@keyframes slideIn { + from { + transform: translateY(100%); + } + to { + transform: translateY(0); + } +} +``` + +### Use blur to mask imperfect transitions + +When a crossfade between two states feels off despite trying different easings and durations, add subtle `filter: blur(2px)` during the transition. + +**Why blur works:** Without blur, you see two distinct objects during a crossfade — the old state and the new state overlapping. This looks unnatural. Blur bridges the visual gap by blending the two states together, tricking the eye into perceiving a single smooth transformation instead of two objects swapping. + +Combine blur with scale-on-press (`scale(0.97)`) for a polished button state transition: + +```css +.button { + transition: transform 160ms ease-out; +} + +.button:active { + transform: scale(0.97); +} + +.button-content { + transition: filter 200ms ease, opacity 200ms ease; +} + +.button-content.transitioning { + filter: blur(2px); + opacity: 0.7; +} +``` + +Keep blur under 20px. Heavy blur is expensive, especially in Safari. + +### Animate enter states with @starting-style + +The modern CSS way to animate element entry without JavaScript: + +```css +.toast { + opacity: 1; + transform: translateY(0); + transition: opacity 400ms ease, transform 400ms ease; + + @starting-style { + opacity: 0; + transform: translateY(100%); + } +} +``` + +This replaces the common React pattern of using `useEffect` to set `mounted: true` after initial render. Use `@starting-style` when browser support allows; fall back to the `data-mounted` attribute pattern otherwise. + +```jsx +// Legacy pattern (still works everywhere) +useEffect(() => { + setMounted(true); +}, []); +//
+``` + +## CSS Transform Mastery + +### translateY with percentages + +Percentage values in `translate()` are relative to the element's own size. Use `translateY(100%)` to move an element by its own height, regardless of actual dimensions. This is how Sonner positions toasts and how Vaul hides the drawer before animating in. + +```css +/* Works regardless of drawer height */ +.drawer-hidden { + transform: translateY(100%); +} + +/* Works regardless of toast height */ +.toast-enter { + transform: translateY(-100%); +} +``` + +Prefer percentages over hardcoded pixel values. They are less error-prone and adapt to content. + +### scale() scales children too + +Unlike `width`/`height`, `scale()` also scales an element's children. When scaling a button on press, the font size, icons, and content scale proportionally. This is a feature, not a bug. + +### 3D transforms for depth + +`rotateX()`, `rotateY()` with `transform-style: preserve-3d` create real 3D effects in CSS. Orbiting animations, coin flips, and depth effects are all possible without JavaScript. + +```css +.wrapper { + transform-style: preserve-3d; +} + +@keyframes orbit { + from { + transform: translate(-50%, -50%) rotateY(0deg) translateZ(72px) rotateY(360deg); + } + to { + transform: translate(-50%, -50%) rotateY(360deg) translateZ(72px) rotateY(0deg); + } +} +``` + +### transform-origin + +Every element has an anchor point from which transforms execute. The default is center. Set it to match where the trigger lives for origin-aware interactions. + +## clip-path for Animation + +`clip-path` is not just for shapes. It is one of the most powerful animation tools in CSS. + +### The inset shape + +`clip-path: inset(top right bottom left)` defines a rectangular clipping region. Each value "eats" into the element from that side. + +```css +/* Fully hidden from right */ +.hidden { + clip-path: inset(0 100% 0 0); +} + +/* Fully visible */ +.visible { + clip-path: inset(0 0 0 0); +} + +/* Reveal from left to right */ +.overlay { + clip-path: inset(0 100% 0 0); + transition: clip-path 200ms ease-out; +} +.button:active .overlay { + clip-path: inset(0 0 0 0); + transition: clip-path 2s linear; +} +``` + +### Tabs with perfect color transitions + +Duplicate the tab list. Style the copy as "active" (different background, different text color). Clip the copy so only the active tab is visible. Animate the clip on tab change. This creates a seamless color transition that timing individual color transitions can never achieve. + +### Hold-to-delete pattern + +Use `clip-path: inset(0 100% 0 0)` on a colored overlay. On `:active`, transition to `inset(0 0 0 0)` over 2s with linear timing. On release, snap back with 200ms ease-out. Add `scale(0.97)` on the button for press feedback. + +### Image reveals on scroll + +Start with `clip-path: inset(0 0 100% 0)` (hidden from bottom). Animate to `inset(0 0 0 0)` when the element enters the viewport. Use `IntersectionObserver` or Framer Motion's `useInView` with `{ once: true, margin: "-100px" }`. + +### Comparison sliders + +Overlay two images. Clip the top one with `clip-path: inset(0 50% 0 0)`. Adjust the right inset value based on drag position. No extra DOM elements needed, fully hardware-accelerated. + +## Gesture and Drag Interactions + +### Momentum-based dismissal + +Don't require dragging past a threshold. Calculate velocity: `Math.abs(dragDistance) / elapsedTime`. If velocity exceeds ~0.11, dismiss regardless of distance. A quick flick should be enough. + +```js +const timeTaken = new Date().getTime() - dragStartTime.current.getTime(); +const velocity = Math.abs(swipeAmount) / timeTaken; + +if (Math.abs(swipeAmount) >= SWIPE_THRESHOLD || velocity > 0.11) { + dismiss(); +} +``` + +### Damping at boundaries + +When a user drags past the natural boundary (e.g., dragging a drawer up when already at top), apply damping. The more they drag, the less the element moves. Things in real life don't suddenly stop; they slow down first. + +### Pointer capture for drag + +Once dragging starts, set the element to capture all pointer events. This ensures dragging continues even if the pointer leaves the element bounds. + +### Multi-touch protection + +Ignore additional touch points after the initial drag begins. Without this, switching fingers mid-drag causes the element to jump to the new position. + +```js +function onPress() { + if (isDragging) return; + // Start drag... +} +``` + +### Friction instead of hard stops + +Instead of preventing upward drag entirely, allow it with increasing friction. It feels more natural than hitting an invisible wall. + +## Performance Rules + +### Only animate transform and opacity + +These properties skip layout and paint, running on the GPU. Animating `padding`, `margin`, `height`, or `width` triggers all three rendering steps. + +### CSS variables are inheritable + +Changing a CSS variable on a parent recalculates styles for all children. In a drawer with many items, updating `--swipe-amount` on the container causes expensive style recalculation. Update `transform` directly on the element instead. + +```js +// Bad: triggers recalc on all children +element.style.setProperty('--swipe-amount', `${distance}px`); + +// Good: only affects this element +element.style.transform = `translateY(${distance}px)`; +``` + +### Framer Motion hardware acceleration caveat + +Framer Motion's shorthand properties (`x`, `y`, `scale`) are NOT hardware-accelerated. They use `requestAnimationFrame` on the main thread. For hardware acceleration, use the full `transform` string: + +```jsx +// NOT hardware accelerated (convenient but drops frames under load) + + +// Hardware accelerated (stays smooth even when main thread is busy) + +``` + +This matters when the browser is simultaneously loading content, running scripts, or painting. At Vercel, the dashboard tab animation used Shared Layout Animations and dropped frames during page loads. Switching to CSS animations (off main thread) fixed it. + +### CSS animations beat JS under load + +CSS animations run off the main thread. When the browser is busy loading a new page, Framer Motion animations (using `requestAnimationFrame`) drop frames. CSS animations remain smooth. Use CSS for predetermined animations; JS for dynamic, interruptible ones. + +### Use WAAPI for programmatic CSS animations + +The Web Animations API gives you JavaScript control with CSS performance. Hardware-accelerated, interruptible, and no library needed. + +```js +element.animate([{ clipPath: 'inset(0 0 100% 0)' }, { clipPath: 'inset(0 0 0 0)' }], { + duration: 1000, + fill: 'forwards', + easing: 'cubic-bezier(0.77, 0, 0.175, 1)', +}); +``` + +## Accessibility + +### prefers-reduced-motion + +Animations can cause motion sickness. Reduced motion means fewer and gentler animations, not zero. Keep opacity and color transitions that aid comprehension. Remove movement and position animations. + +```css +@media (prefers-reduced-motion: reduce) { + .element { + animation: fade 0.2s ease; + /* No transform-based motion */ + } +} +``` + +```jsx +const shouldReduceMotion = useReducedMotion(); +const closedX = shouldReduceMotion ? 0 : '-100%'; +``` + +### Touch device hover states + +```css +@media (hover: hover) and (pointer: fine) { + .element:hover { + transform: scale(1.05); + } +} +``` + +Touch devices trigger hover on tap, causing false positives. Gate hover animations behind this media query. + +## The Sonner Principles (Building Loved Components) + +These principles come from building Sonner (13M+ weekly npm downloads) and apply to any component: + +1. **Developer experience is key.** No hooks, no context, no complex setup. Insert `` once, call `toast()` from anywhere. The less friction to adopt, the more people will use it. + +2. **Good defaults matter more than options.** Ship beautiful out of the box. Most users never customize. The default easing, timing, and visual design should be excellent. + +3. **Naming creates identity.** "Sonner" (French for "to ring") feels more elegant than "react-toast". Sacrifice discoverability for memorability when appropriate. + +4. **Handle edge cases invisibly.** Pause toast timers when the tab is hidden. Fill gaps between stacked toasts with pseudo-elements to maintain hover state. Capture pointer events during drag. Users never notice these, and that is exactly right. + +5. **Use transitions, not keyframes, for dynamic UI.** Toasts are added rapidly. Keyframes restart from zero on interruption. Transitions retarget smoothly. + +6. **Build a great documentation site.** Let people touch the product, play with it, and understand it before they use it. Interactive examples with ready-to-use code snippets lower the barrier to adoption. + +### Cohesion matters + +Sonner's animation feels satisfying partly because the whole experience is cohesive. The easing and duration fit the vibe of the library. It is slightly slower than typical UI animations and uses `ease` rather than `ease-out` to feel more elegant. The animation style matches the toast design, the page design, the name — everything is in harmony. + +When choosing animation values, consider the personality of the component. A playful component can be bouncier. A professional dashboard should be crisp and fast. Match the motion to the mood. + +### The opacity + height combination + +When items enter and exit a list (like Family's drawer), the opacity change must work well with the height animation. This is often trial and error. There is no formula — you adjust until it feels right. + +### Review your work the next day + +Review animations with fresh eyes. You notice imperfections the next day that you missed during development. Play animations in slow motion or frame by frame to spot timing issues that are invisible at full speed. + +### Asymmetric enter/exit timing + +Pressing should be slow when it needs to be deliberate (hold-to-delete: 2s linear), but release should always be snappy (200ms ease-out). This pattern applies broadly: slow where the user is deciding, fast where the system is responding. + +```css +/* Release: fast */ +.overlay { + transition: clip-path 200ms ease-out; +} + +/* Press: slow and deliberate */ +.button:active .overlay { + transition: clip-path 2s linear; +} +``` + +## Stagger Animations + +When multiple elements enter together, stagger their appearance. Each element animates in with a small delay after the previous one. This creates a cascading effect that feels more natural than everything appearing at once. + +```css +.item { + opacity: 0; + transform: translateY(8px); + animation: fadeIn 300ms ease-out forwards; +} + +.item:nth-child(1) { + animation-delay: 0ms; +} +.item:nth-child(2) { + animation-delay: 50ms; +} +.item:nth-child(3) { + animation-delay: 100ms; +} +.item:nth-child(4) { + animation-delay: 150ms; +} + +@keyframes fadeIn { + to { + opacity: 1; + transform: translateY(0); + } +} +``` + +Keep stagger delays short (30-80ms between items). Long delays make the interface feel slow. Stagger is decorative — never block interaction while stagger animations are playing. + +## Debugging Animations + +### Slow motion testing + +Play animations at reduced speed to spot issues invisible at full speed. Temporarily increase duration to 2-5x normal, or use browser DevTools animation inspector to slow playback. + +Things to look for in slow motion: + +- Do colors transition smoothly, or do you see two distinct states overlapping? +- Does the easing feel right, or does it start/stop abruptly? +- Is the transform-origin correct, or does the element scale from the wrong point? +- Are multiple animated properties (opacity, transform, color) in sync? + +### Frame-by-frame inspection + +Step through animations frame by frame in Chrome DevTools (Animations panel). This reveals timing issues between coordinated properties that you cannot see at full speed. + +### Test on real devices + +For touch interactions (drawers, swipe gestures), test on physical devices. Connect your phone via USB, visit your local dev server by IP address, and use Safari's remote devtools. The Xcode Simulator is an alternative but real hardware is better for gesture testing. + +## Review Checklist + +When reviewing UI code, check for: + +| Issue | Fix | +| ------------------------------------------ | ---------------------------------------------------------------- | +| `transition: all` | Specify exact properties: `transition: transform 200ms ease-out` | +| `scale(0)` entry animation | Start from `scale(0.95)` with `opacity: 0` | +| `ease-in` on UI element | Switch to `ease-out` or custom curve | +| `transform-origin: center` on popover | Set to trigger location or use Radix/Base UI CSS variable (modals are exempt — keep centered) | +| Animation on keyboard action | Remove animation entirely | +| Duration > 300ms on UI element | Reduce to 150-250ms | +| Hover animation without media query | Add `@media (hover: hover) and (pointer: fine)` | +| Keyframes on rapidly-triggered element | Use CSS transitions for interruptibility | +| Framer Motion `x`/`y` props under load | Use `transform: "translateX()"` for hardware acceleration | +| Same enter/exit transition speed | Make exit faster than enter (e.g., enter 2s, exit 200ms) | +| Elements all appear at once | Add stagger delay (30-80ms between items) | diff --git a/.cursor/skills/frontend-design/SKILL.md b/.cursor/skills/frontend-design/SKILL.md new file mode 100755 index 000000000..8feb88e5d --- /dev/null +++ b/.cursor/skills/frontend-design/SKILL.md @@ -0,0 +1,114 @@ +--- +name: frontend-design +description: Build distinctive, production-quality UI. Use when creating or reshaping user-facing interfaces, components, pages, layouts, visual redesigns, responsive behavior, loading/error/empty states, or accessibility-sensitive frontend work. +--- + +# Frontend Design & UI Quality + +Approach this as the design lead at a small studio known for giving every client a visual identity that could not be mistaken for anyone else's. Make deliberate, opinionated choices about palette, typography, layout, motion, and copy that are specific to the brief, then execute them with engineering rigor: accessible, responsive, performant, and complete in every state. + +## 1. Aesthetic Direction + +### Ground It In The Subject + +If the brief does not pin down the product or subject, pin it yourself before designing: name one concrete subject, its audience, and the page's single job. Use the user's preferences, project context, and previous design choices as hints. The subject's world - its materials, instruments, artifacts, and vernacular - is where distinctive choices come from. Build with real or realistic content throughout. Never use lorem ipsum; placeholder text hides wrapping, overflow, hierarchy, and tone problems. + +### Design Principles + +For web designs, the hero is a thesis. Open with the most characteristic thing in the subject's world: a headline, image, animation, live demo, interactive moment, or concrete product artifact. A big number with a small label, supporting stats, and a gradient accent is the template answer; only use it if it is truly the best option. + +Typography carries personality. Pair display and body faces deliberately, not the same families you would reach for on every project. Set a clear type scale with intentional weights, widths, spacing, and rhythm. Respect semantic hierarchy: one `h1` per page, no skipped heading levels, and no heading styles on non-heading content. + +Structure is information. Numbering, eyebrows, dividers, labels, cards, and section breaks should encode something true about the content, not decorate it. Numbered markers like `01 / 02 / 03` only belong when the content is actually sequential. + +Leverage motion deliberately. One orchestrated moment usually lands harder than scattered effects. Always respect `prefers-reduced-motion`. + +Match complexity to the vision. Maximalist directions need elaborate execution; minimal directions need precision in spacing, type, and detail. Elegance is executing the chosen vision well. + +### Known AI Defaults + +Avoid defaulting to: warm cream + high-contrast serif + terracotta; near-black + acid green/vermilion; broadsheet layouts with hairline rules; purple/indigo everything; decorative gradients; `rounded-2xl` everywhere; generic hero sections; uniform card grids that ignore information priority; oversized equal padding; layered shadows. These can be valid when the brief calls for them, but they must be choices, not reflexes. + +### Existing Product Rule + +If the project already has a design system, tokens, components, palette, radius scale, or layout language, that system is the brief. Distinctiveness then lives in hierarchy, composition, content, interaction, and motion - not in inventing stray colors or one-off radii. Use semantic tokens, existing components, and the established spacing scale. Avoid raw hex values or off-scale spacing unless the design system itself requires them. + +## 2. Process + +Work in two passes. + +First, create a compact design plan: + +- **Color:** 4-6 named hex values for greenfield work, or the exact tokens to use in an existing product. +- **Type:** roles for display, body, and utility/caption text. +- **Layout:** one-sentence concept plus quick ASCII wireframes when useful. +- **Signature:** the single element this interface should be remembered by. + +Second, critique the plan against the brief before building. If any part could appear unchanged in a generic page for a different subject, revise it. Only then write code. Derive every visual choice from the revised plan or the existing design system. + +When writing CSS, watch selector specificity. Generated class names often cancel each other out around section spacing, component padding, and element selectors. Prefer simple, local class structure and design-system utilities over clever selector chains. + +## 3. Engineering The Design + +### Components + +- Prefer composition over configuration: structured children over prop grab-bags. +- Keep components focused; split anything past roughly 200 lines unless there is a strong local reason not to. +- Separate data fetching from presentation. Containers resolve loading/error/empty and pass clean data to presentational components. +- Choose the simplest state that works: `useState` for component UI state; lifted state for 2-3 siblings; context for read-heavy/write-rare concerns like theme, auth, locale; URL state for shareable filters/pagination; SWR/React Query for server data; global stores only for genuinely app-wide client state. +- Avoid prop drilling past 3 levels. Restructure or introduce context when intermediate components do not use the props. + +### Four UI States + +Design loading, error, empty, and success together. + +- **Loading:** use skeletons that match content shape for content areas. Add `aria-busy="true"` where appropriate. +- **Error:** say what went wrong and how to fix it. Offer retry when retrying can work. +- **Empty:** treat it as an invitation to act: icon or marker, short explanation, and a primary action. Never leave a blank region. Use `role="status"` when the empty state announces a result. +- **Success:** optimize the default path without hiding constraints, secondary actions, or overflow cases. + +Use optimistic updates for quick mutations where rollback is cheap and failure is understandable. + +### Accessibility + +Meet WCAG 2.1 AA as a floor. + +- Use native elements first: `button`, `a`, `label`, `input`, `select`, `textarea`, `dialog`. +- A clickable `div` needs `role`, `tabIndex`, and keyboard handling for Enter/Space; prefer a real `button`. +- Every icon-only control needs an `aria-label`. Every input needs a visible label or explicit accessible name. +- Focus must be visible. Dialogs and popovers move focus on open and restore it on close; modal dialogs trap focus. +- Contrast: 4.5:1 for normal text, 3:1 for large text and non-text UI indicators. +- Do not use color as the only state indicator. Pair color with text, iconography, shape, or pattern. +- Respect `prefers-reduced-motion` for animation and transitions. + +### Responsive + +Design mobile-first, then expand. Verify at 320px, 768px, 1024px, and 1440px. Check text wrapping, overflow, touch targets, sticky elements, modals, tables, and long localized strings, not just whether the layout stacks. + +## 4. Restraint And Self-Critique + +Spend boldness in one place. Let the signature element be the memorable move; keep everything around it quiet and disciplined. Cut decoration that does not serve the brief. Not taking a risk can also be a risk. + +Critique the work visually as you build. If screenshots are available, use them. Before presenting, remove one accessory: one extra border, glow, gradient, icon, animation, card, or label that weakens the hierarchy. + +## 5. Writing In The Design + +Words make the interface easier to understand and use. They are design material, not decoration. + +Write from the end user's side of the screen. Name things by what people control and recognize, not by internal implementation. A person manages notifications, not webhook config. Be specific rather than clever. + +Use active voice. A control says exactly what happens: "Save changes," not "Submit." Keep action vocabulary consistent through the whole flow: "Publish" leads to "Published." + +Treat failure and emptiness as moments for direction, not mood. Errors do not apologize and are never vague. Empty states invite the next action. + +Keep copy conversational and tuned: plain verbs, sentence case, no filler, with tone matched to the brand and audience. Each element does one job: a label labels, an example demonstrates, helper text helps. + +## Verification Checklist + +Before presenting UI work, verify: + +- [ ] Design direction is specific to the brief, not a generic default. +- [ ] Existing design-system tokens, spacing, components, and typography are respected. +- [ ] Realistic content, loading, error, empty, and success states are handled. +- [ ] Keyboard navigation, focus, labels, contrast, and reduced motion are covered. +- [ ] Layout works at 320px, 768px, 1024px, and 1440px with no obvious overflow. diff --git a/.cursor/skills/review-animations/SKILL.md b/.cursor/skills/review-animations/SKILL.md new file mode 100644 index 000000000..6b46fd332 --- /dev/null +++ b/.cursor/skills/review-animations/SKILL.md @@ -0,0 +1,112 @@ +--- +name: review-animations +description: Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned. +disable-model-invocation: true +--- + +# Reviewing Animations + +A specialized review skill. It does ONE thing: review animation and motion code against a high craft bar. It does not write features, fix unrelated bugs, or review non-motion code. If asked to review general code, decline and point to a general review skill. + +## Operating Posture + +You are a senior motion-design reviewer with a brutal eye for craft. Your bias is toward **motion that feels right**, not motion that merely runs. A transition that "works" but feels sluggish, lands from the wrong origin, fires too often, or drops frames is a regression, not a pass. Default to flagging. Approval is earned, not assumed. + +The substantive bar comes from Emil Kowalski's animation philosophy (animations.dev). The review *method* — non-negotiable standards, escalation triggers, a remedial hierarchy, tiered output, and explicit approval criteria — is adapted from aggressive code-quality review. + +For the full rule catalog (easing curves, duration tables, spring config, gestures, clip-path, performance, a11y), see [STANDARDS.md](STANDARDS.md). Load it whenever a finding needs a precise value or citation. + +## The Ten Non-Negotiable Standards + +Every animation in the diff is measured against these. A violation is a finding. + +1. **Justified motion.** Every animation must answer "why does this animate?" — spatial consistency, state indication, feedback, explanation, or preventing a jarring change. "It looks cool" on a frequently-seen element is a block. + +2. **Frequency-appropriate.** Match motion to how often it's seen. Keyboard-initiated and 100+/day actions get **no** animation. Tens/day gets reduced motion. Occasional gets standard. Rare/first-time can have delight. + +3. **Responsive easing.** Entering/exiting elements use `ease-out` or a strong custom curve. `ease-in` on UI is a block — it delays the moment the user watches most. Built-in CSS easings are too weak; expect custom cubic-beziers. + +4. **Sub-300ms UI.** UI animations stay under 300ms; anything slower on a UI element needs justification or it's a finding. Per-element budgets live in [STANDARDS.md](STANDARDS.md). + +5. **Origin & physical correctness.** Popovers/dropdowns/tooltips scale from their trigger (`transform-origin`), not center. Never animate from `scale(0)` — start from `scale(0.9–0.97)` + opacity (Modals are exempt — they stay centered.) + +6. **Interruptibility.** Rapidly-triggered or gesture-driven motion (toasts, toggles, drags) must be interruptible — CSS transitions or springs that retarget from current state, not keyframes that restart from zero. + +7. **GPU-only properties.** Animate `transform` and `opacity` only. Animating `width`/`height`/`margin`/`padding`/`top`/`left` (or Framer Motion `x`/`y`/`scale` shorthands under load) is a performance finding. + +8. **Accessibility.** `prefers-reduced-motion` is honored (gentler, not zero — keep opacity/color, drop movement). Hover animations are gated behind `@media (hover: hover) and (pointer: fine)`. + +9. **Asymmetric enter/exit.** Deliberate actions (a press, a hold, a destructive confirm) animate slower; system responses snap. Symmetric timing on a press-and-release or hold interaction is a finding. + +10. **Cohesion.** Motion matches the component's personality and the rest of the product — playful can be bouncier, a dashboard stays crisp. Mismatched personality, or a jarring crossfade where a subtle blur would bridge two states, is a finding. When unsure whether motion feels right, the strongest move is often to delete it. + +## Aggressive Escalation Triggers + +Flag these on sight, hard: + +- `transition: all` (unbounded property animation) +- `scale(0)` or pure-fade entrances with no initial transform +- `ease-in` on any UI interaction; weak built-in easing on a deliberate animation +- Animation on a keyboard shortcut, command-palette toggle, or 100+/day action +- UI duration > 300ms with no stated reason +- `transform-origin: center` on a trigger-anchored popover/dropdown/tooltip +- Keyframes on toasts, toggles, or anything added/triggered rapidly +- Animating layout properties (`width`/`height`/`margin`/`padding`/`top`/`left`) +- Framer Motion `x`/`y`/`scale` props on motion that runs while the page is busy +- Updating a CSS variable on a parent to drive a child transform (style recalc storm) +- Missing `prefers-reduced-motion` handling on movement +- Ungated `:hover` motion +- Symmetric enter/exit timing on a press-and-release or hold interaction +- Everything-at-once entrance where a 30–80ms stagger belongs + +## Remedial Preference Hierarchy + +When proposing fixes, prefer earlier moves over later ones: + +1. **Delete the animation** (high-frequency / no purpose / keyboard-triggered). +2. **Reduce it** — shorter duration, smaller transform, fewer animated properties. +3. **Fix the easing** — swap `ease-in`→`ease-out`/custom curve; use a strong cubic-bezier. +4. **Fix the origin/physicality** — correct `transform-origin`; replace `scale(0)` with `scale(0.95)`+opacity. +5. **Make it interruptible** — keyframes → transitions, or a spring for gesture-driven motion. +6. **Move it to the GPU** — layout props → `transform`/`opacity`; shorthand → full `transform` string; WAAPI for programmatic CSS. +7. **Asymmetric timing** — slow the deliberate phase, snap the response. +8. **Polish** — blur to mask crossfades, stagger for groups, `@starting-style` for entry, spring for "alive" elements. +9. **Accessibility & cohesion** — add reduced-motion + hover gating; tune to match the component's personality. + +## Required Output Format + +Two parts, in this order. + +### Part 1 — Findings table (REQUIRED) + +A single markdown table. One row per issue. Never a "Before:/After:" list. + +| Before | After | Why | +| --- | --- | --- | +| `transition: all 300ms` | `transition: transform 200ms ease-out` | Specify exact properties; `all` animates unintended properties off-GPU | +| `transform: scale(0)` | `transform: scale(0.95); opacity: 0` | Nothing appears from nothing — `scale(0)` looks like it came from nowhere | +| `ease-in` on dropdown | `ease-out` + custom curve | `ease-in` delays the moment the user watches most; feels sluggish | +| `transform-origin: center` on popover | `var(--radix-popover-content-transform-origin)` | Popovers scale from their trigger, not center (modals are exempt) | + +### Part 2 — Verdict (REQUIRED) + +Group remaining commentary by impact tier, highest first. Omit empty tiers. + +1. **Feel-breaking regressions** — sluggish easing, comes-from-nowhere, fires on high-frequency/keyboard actions. +2. **Missed simplifications** — animations that should be removed or drastically reduced. +3. **Performance** — non-GPU properties, dropped-frame risks, recalc storms. +4. **Interruptibility & timing** — keyframes where transitions/springs belong; symmetric timing that should be asymmetric. +5. **Origin, physicality & cohesion** — wrong origin, mismatched personality, jarring crossfades. +6. **Accessibility** — reduced-motion and pointer/hover gating. + +Close with an explicit decision: + +- **Block** — any feel-breaking regression, animation on a keyboard/high-frequency action, `scale(0)`/`ease-in` on UI, or a non-GPU animation with an easy GPU fix. +- **Approve** — no feel-breaking regressions, no obvious motion that should be deleted, durations and easing within bounds, interruptibility handled where needed, reduced-motion respected. + +Be specific and cite `file:line`. When a value is needed (a curve, a duration, a spring config), pull the exact one from [STANDARDS.md](STANDARDS.md) rather than approximating. + +## Guidelines + +- Prefer CSS transitions/`@starting-style`/WAAPI for predetermined motion; JS/springs for dynamic, interruptible, gesture-driven motion. +- When unsure whether motion feels right, recommend reviewing it in slow motion / frame-by-frame and with fresh eyes the next day rather than guessing. diff --git a/.cursor/skills/review-animations/STANDARDS.md b/.cursor/skills/review-animations/STANDARDS.md new file mode 100644 index 000000000..b6dc9b19a --- /dev/null +++ b/.cursor/skills/review-animations/STANDARDS.md @@ -0,0 +1,188 @@ +# Animation Standards Reference + +The precise values, curves, and rules behind the review. Cite these in findings instead of approximating. Distilled from Emil Kowalski's design engineering philosophy ([animations.dev](https://animations.dev/)). + +## Should it animate? (frequency table) + +| Frequency | Decision | +| --- | --- | +| 100+ times/day (keyboard shortcuts, command palette toggle) | No animation. Ever. | +| Tens of times/day (hover effects, list navigation) | Remove or drastically reduce | +| Occasional (modals, drawers, toasts) | Standard animation | +| Rare / first-time (onboarding, feedback, celebrations) | Can add delight | + +**Never animate keyboard-initiated actions** — they repeat hundreds of times daily; animation makes them feel slow and disconnected. (Raycast has no open/close animation — correct for something used hundreds of times a day.) + +Valid purposes for motion: spatial consistency, state indication, explanation, feedback, preventing jarring change. "It looks cool" on a frequently-seen element is not valid. + +## Easing + +Decision order: +- Entering or exiting → **`ease-out`** (starts fast, feels responsive) +- Moving / morphing on screen → **`ease-in-out`** +- Hover / color change → **`ease`** +- Constant motion (marquee, progress) → **`linear`** +- Default → **`ease-out`** + +**Never `ease-in` on UI.** It starts slow, delaying the exact moment the user is watching. `ease-out` at 200ms *feels* faster than `ease-in` at 200ms. + +Built-in CSS easings are too weak. Use strong custom curves: + +```css +--ease-out: cubic-bezier(0.23, 1, 0.32, 1); /* strong ease-out for UI */ +--ease-in-out: cubic-bezier(0.77, 0, 0.175, 1); /* strong ease-in-out for on-screen movement */ +--ease-drawer: cubic-bezier(0.32, 0.72, 0, 1); /* iOS-like drawer curve (Ionic) */ +``` + +Find curves at [easing.dev](https://easing.dev/) or [easings.co](https://easings.co/) — don't hand-roll from scratch. + +## Duration + +| Element | Duration | +| --- | --- | +| Button press feedback | 100–160ms | +| Tooltips, small popovers | 125–200ms | +| Dropdowns, selects | 150–250ms | +| Modals, drawers | 200–500ms | +| Marketing / explanatory | Can be longer | + +**Rule: UI animations stay under 300ms.** A 180ms dropdown feels more responsive than a 400ms one. Faster spinners make load feel faster (same actual time). Instant tooltips after the first (skip delay + animation) make a toolbar feel faster. + +## Physicality + +- **Never `scale(0)`.** Start from `scale(0.9–0.97)` + `opacity: 0`. Nothing in the real world appears from nothing. +- **Origin-aware popovers.** Scale from the trigger, not center: + ```css + .popover { transform-origin: var(--radix-popover-content-transform-origin); } /* Radix */ + .popover { transform-origin: var(--transform-origin); } /* Base UI */ + ``` + **Modals are exempt** — they appear centered in the viewport, keep `transform-origin: center`. +- **Button press feedback.** `transform: scale(0.97)` on `:active`, `transition: transform 160ms ease-out`. Subtle (0.95–0.98). Applies to any pressable element. + +## Springs + +Feel natural because they simulate physics; no fixed duration — they settle on parameters. Use for: drag with momentum, "alive" elements (Dynamic Island), interruptible gestures, decorative mouse-tracking. + +```js +// Apple-style (easier to reason about) — recommended +{ type: "spring", duration: 0.5, bounce: 0.2 } + +// Traditional physics (more control) +{ type: "spring", mass: 1, stiffness: 100, damping: 10 } +``` + +Keep bounce subtle (0.1–0.3); avoid bounce in most UI — reserve for drag-to-dismiss and playful interactions. Springs maintain velocity when interrupted (keyframes restart from zero), so they're ideal for gestures users may reverse mid-motion. + +Mouse interactions: interpolate with `useSpring` rather than tying value directly to mouse position (direct = artificial, no momentum). Only do this when the motion is decorative. + +## Interruptibility + +CSS **transitions** can be interrupted and retargeted mid-animation; **keyframes** restart from zero. For anything triggered rapidly (toasts being added, toggles), transitions are smoother. + +```css +/* Interruptible — good for dynamic UI */ +.toast { transition: transform 400ms ease; } + +/* Not interruptible — avoid for dynamic UI */ +@keyframes slideIn { from { transform: translateY(100%); } to { transform: translateY(0); } } +``` + +Use `@starting-style` for entry without JS: + +```css +.toast { + opacity: 1; transform: translateY(0); + transition: opacity 400ms ease, transform 400ms ease; + @starting-style { opacity: 0; transform: translateY(100%); } +} +``` + +Legacy fallback: `useEffect(() => setMounted(true), [])` + `data-mounted` attribute. + +## Asymmetric timing + +Slow where the user is deciding, fast where the system responds. + +```css +.overlay { transition: clip-path 200ms ease-out; } /* release: fast */ +.button:active .overlay { transition: clip-path 2s linear; } /* press: slow, deliberate */ +``` + +## Performance + +- **Only animate `transform` and `opacity`** — they skip layout/paint and run on the GPU. `padding`/`margin`/`height`/`width`/`top`/`left` trigger all three rendering steps. +- **Don't drive child transforms via a CSS variable on the parent** — it recalcs styles for all children. Set `transform` directly on the element. + ```js + element.style.setProperty('--swipe-amount', `${d}px`); // bad: recalc on all children + element.style.transform = `translateY(${d}px)`; // good: only this element + ``` +- **Framer Motion shorthands are NOT hardware-accelerated.** `x`/`y`/`scale` run on the main thread via rAF and drop frames under load. Use the full transform string: + ```jsx + // drops frames under load + // hardware accelerated + ``` +- **CSS animations beat JS under load** — they run off the main thread; rAF-based animations stutter while the browser loads/scripts/paints. Use CSS for predetermined motion, JS for dynamic/interruptible. +- **WAAPI** gives JS control with CSS performance (hardware-accelerated, interruptible, no library): + ```js + element.animate([{ clipPath: 'inset(0 0 100% 0)' }, { clipPath: 'inset(0 0 0 0)' }], + { duration: 1000, fill: 'forwards', easing: 'cubic-bezier(0.77, 0, 0.175, 1)' }); + ``` + +## Transforms & clip-path + +- **`translate` percentages** are relative to the element's own size — `translateY(100%)` moves by the element's height regardless of dimensions (how Sonner/Vaul position toasts/drawers). Prefer over hardcoded px. +- **`scale()` scales children too** (font, icons, content) — a feature for press feedback. +- **3D**: `rotateX/Y` + `transform-style: preserve-3d` for depth/orbit/flip without JS. +- **`clip-path: inset(t r b l)`** is a powerful animation tool: each value eats in from that side. Uses: reveal-on-scroll (`inset(0 0 100% 0)` → `inset(0 0 0 0)`), hold-to-delete overlay, seamless tab color transitions (duplicate + clip the active copy), comparison sliders. + +## Gestures & drag + +- **Momentum dismissal**: don't require crossing a distance threshold — compute velocity (`Math.abs(distance)/elapsedMs`); dismiss if `> ~0.11`. A flick should be enough. +- **Damping at boundaries**: dragging past a natural edge moves less the further you go (real things slow before stopping). +- **Pointer capture** once dragging starts, so it continues when the pointer leaves bounds. +- **Multi-touch protection**: ignore extra touch points after the drag begins (`if (isDragging) return`) — prevents jumps. +- **Friction over hard stops** — allow over-drag with rising resistance rather than an invisible wall. + +## Masking imperfect crossfades + +When a crossfade shows two overlapping states despite tuning easing/duration, add subtle `filter: blur(2px)` during the transition to blend them into one perceived transformation. Keep blur < 20px (heavy blur is expensive, especially Safari). + +## Stagger + +Stagger group entrances; 30–80ms between items. Longer delays feel slow. Stagger is decorative — never block interaction while it plays. + +```css +.item { opacity: 0; transform: translateY(8px); animation: fadeIn 300ms ease-out forwards; } +.item:nth-child(2) { animation-delay: 50ms; } +.item:nth-child(3) { animation-delay: 100ms; } +@keyframes fadeIn { to { opacity: 1; transform: translateY(0); } } +``` + +## Accessibility + +```css +@media (prefers-reduced-motion: reduce) { + .element { animation: fade 0.2s ease; } /* keep opacity/color, drop transform-based motion */ +} +@media (hover: hover) and (pointer: fine) { + .element:hover { transform: scale(1.05); } /* gate hover motion — touch fires false hovers on tap */ +} +``` + +```jsx +const reduce = useReducedMotion(); +const closedX = reduce ? 0 : '-100%'; +``` + +Reduced motion means fewer and gentler animations, not zero — keep transitions that aid comprehension, remove movement/position changes. + +## Debugging (recommend in reviews when feel is uncertain) + +- **Slow motion**: bump duration 2–5× or use DevTools animation inspector. Check colors crossfade cleanly, easing doesn't stop abruptly, `transform-origin` is right, coordinated properties stay in sync. +- **Frame-by-frame**: Chrome DevTools Animations panel reveals timing drift between coordinated properties. +- **Real devices** for gestures (drawers, swipe) — connect a phone, hit the dev server by IP, use Safari remote devtools. +- **Fresh eyes next day** — imperfections invisible during development surface later. + +## Cohesion + +Match motion to the component's personality: playful can be bouncier; a professional dashboard should be crisp and fast. Sonner feels right partly because easing, duration, design, and even the name are in harmony — slightly slower, `ease` rather than `ease-out`, to feel elegant. Opacity + height in entering/exiting lists is trial and error; there's no formula — adjust until it feels right. diff --git a/.rules/ponytail.mdc b/.rules/ponytail.mdc new file mode 100644 index 000000000..db435a75d --- /dev/null +++ b/.rules/ponytail.mdc @@ -0,0 +1,36 @@ +--- +description: Ponytail, lazy senior dev mode. Always pick the simplest solution that works. +globs: +alwaysApply: true +--- + +# Ponytail, lazy senior dev mode + +You are a lazy senior developer. Lazy means efficient, not careless. The best code is the code never written. + +Before writing any code, stop at the first rung that holds: + +1. Does this need to be built at all? (YAGNI) +2. Does it already exist in this codebase? Reuse the helper, util, or pattern that's already here, don't re-write it. +3. Does the standard library already do this? Use it. +4. Does a native platform feature cover it? Use it. +5. Does an already-installed dependency solve it? Use it. +6. Can this be one line? Make it one line. +7. Only then: write the minimum code that works. + +The ladder runs after you understand the problem, not instead of it: read the task and the code it touches, trace the real flow end to end, then climb. + +Bug fix = root cause, not symptom: a report names a symptom. Grep every caller of the function you touch and fix the shared function once — one guard there is a smaller diff than one per caller, and patching only the path the ticket names leaves a sibling caller still broken. + +Rules: + +- No abstractions that weren't explicitly requested. +- No new dependency if it can be avoided. +- No boilerplate nobody asked for. +- Deletion over addition. Boring over clever. Fewest files possible. +- Shortest working diff wins, but only once you understand the problem. The smallest change in the wrong place isn't lazy, it's a second bug. +- Question complex requests: "Do you actually need X, or does Y cover it?" +- Pick the edge-case-correct option when two stdlib approaches are the same size, lazy means less code, not the flimsier algorithm. +- Mark intentional simplifications with a `ponytail:` comment. If the shortcut has a known ceiling (global lock, O(n²) scan, naive heuristic), the comment names the ceiling and the upgrade path. + +Not lazy about: understanding the problem (read it fully and trace the real flow before picking a rung, a small diff you don't understand is just laziness dressed up as efficiency), input validation at trust boundaries, error handling that prevents data loss, security, accessibility, the calibration real hardware needs (the platform is never the spec ideal, a clock drifts, a sensor reads off), anything explicitly requested. Lazy code without its check is unfinished: non-trivial logic leaves ONE runnable check behind, the smallest thing that fails if the logic breaks (an assert-based demo/self-check or one small test file; no frameworks, no fixtures). Trivial one-liners need no test. diff --git a/LICENSE b/LICENSE index 261eeb9e9..b77a3077d 100644 --- a/LICENSE +++ b/LICENSE @@ -1,3 +1,18 @@ +Copyright (c) SurfSense + +Portions of this software are licensed as follows: + +* All content that resides under the "surfsense_backend/app/proprietary/" + directory of this repository is licensed under the Business Source License + 1.1 as defined in "surfsense_backend/app/proprietary/LICENSE". +* All third-party components incorporated into the SurfSense software are + licensed under the original license provided by the owner of the applicable + component. +* Content outside of the above-mentioned directory is available under the + Apache License, Version 2.0, as defined below. + +----------------------------------------------------------------------------- + Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ diff --git a/README.es.md b/README.es.md index ea7623617..82cfcae1d 100644 --- a/README.es.md +++ b/README.es.md @@ -1,4 +1,4 @@ -readme_banner +SurfSense, la plataforma de inteligencia competitiva de código abierto para agentes de IA @@ -20,289 +20,270 @@ MODSetter%2FSurfSense | Trendshift
-# SurfSense +# SurfSense: Dale inteligencia competitiva a tus agentes de IA -NotebookLM es una de las mejores y más útiles plataformas de IA que existen, pero una vez que comienzas a usarla regularmente también sientes sus limitaciones dejando algo que desear. +SurfSense es la **plataforma de inteligencia competitiva de código abierto para agentes de IA**. Tus agentes monitorean a la competencia, siguen los rankings y escuchan a tu mercado con datos en vivo de **Reddit, YouTube, Google Maps, Google Search y la web abierta**, a través de una única **API REST** o un **servidor MCP**. Agentes programados y activados por eventos convierten lo que encuentran en informes y alertas, y una base de conocimiento integrada mantiene cada hallazgo disponible para búsqueda con citas. -1. Hay límites en la cantidad de fuentes que puedes agregar en un notebook. -2. Hay límites en la cantidad de notebooks que puedes tener. -3. No puedes tener fuentes que excedan 500,000 palabras y más de 200MB. -4. Estás bloqueado con los servicios de Google (LLMs, modelos de uso, etc.) sin opción de configurarlos. -5. Fuentes de datos externas e integraciones de servicios limitadas. -6. El agente de NotebookLM está específicamente optimizado solo para estudiar e investigar, pero puedes hacer mucho más con los datos de origen. -7. Falta de soporte multijugador. +> [!NOTE] +> **📢 Una nota para nuestros usuarios de la alternativa a NotebookLM** +> +> Durante los últimos meses construimos SurfSense como el mejor agente de investigación general para tu propio conocimiento, y ese capítulo nos dio una comunidad de la que estamos genuinamente orgullosos. Herramientas agénticas como Claude, OpenCode, Hermes y OpenClaw ya han demostrado que los agentes son el futuro, y la investigación general se está convirtiendo en algo que todo agente capaz hace de fábrica. Lo que a los agentes todavía les falta son **datos de mercado en vivo y los flujos de trabajo a su alrededor**, así que ahí es donde estamos dirigiendo toda nuestra energía: convertirnos en la plataforma definitiva de agentes de inteligencia competitiva de código abierto. +> +> **Nada de lo que dependes va a desaparecer.** Tu base de conocimiento, el chat con citas, los informes, los podcasts, las presentaciones, las automatizaciones y los chats colaborativos siguen funcionando, y el autoalojamiento sigue siendo gratuito y de código abierto. Lee el anuncio completo en [nuestro changelog](https://www.surfsense.com/changelog). -...y más. +## Tabla de contenidos -**SurfSense está específicamente hecho para resolver estos problemas.** SurfSense te permite: +- [Por qué los agentes necesitan SurfSense](#por-qué-los-agentes-necesitan-surfsense) +- [¿Qué puedes hacer con SurfSense?](#qué-puedes-hacer-con-surfsense) +- [Conectores de datos en vivo](#conectores-de-datos-en-vivo) +- [Inicio rápido](#inicio-rápido) +- [Todo lo demás que viene incluido](#todo-lo-demás-que-viene-incluido) +- [SurfSense vs Google NotebookLM](#surfsense-vs-google-notebooklm) +- [Hoja de ruta](#hoja-de-ruta) +- [Contribuye](#contribuye) -- **Controla Tu Flujo de Datos** - Mantén tus datos privados y seguros. -- **Sin Límites de Datos** - Agrega una cantidad ilimitada de fuentes y notebooks. -- **Sin Dependencia de Proveedores** - Configura cualquier modelo LLM, de imagen, TTS y STT. -- **25+ Fuentes de Datos Externas** - Agrega tus fuentes desde Google Drive, OneDrive, Dropbox, Notion y muchos otros servicios externos. -- **Soporte Multijugador en Tiempo Real** - Trabaja fácilmente con los miembros de tu equipo en un notebook compartido. -- **Automatizaciones y Agentes de IA** - Ejecuta agentes de IA según una programación o actívalos en el momento en que un documento llega a una carpeta, y luego escribe los resultados de vuelta en Notion, Slack, Linear y Drive. Crea automatizaciones sin código solo describiéndolas en el chat. -- **Aplicación de Escritorio** - Obtén asistencia de IA en cualquier aplicación con Quick Assist, General Assist, Screenshot Assist y sincronización de carpetas locales. +## Por qué los agentes necesitan SurfSense -...y más por venir. +Pregúntale a cualquier agente capaz "¿cuánto están cobrando los competidores esta semana?" o "¿qué está diciendo Reddit sobre nosotros desde el lanzamiento?" y no tiene ningún lugar confiable donde buscar. Las APIs oficiales de las plataformas tienen límites de tasa, precios pensados para empresas grandes o directamente no existen, y la infraestructura de scraping es frágil. SurfSense cierra esa brecha: +- **Conectores nativos por plataforma**, cada uno un endpoint REST tipado que devuelve JSON estructurado. Sin ruleta de límites de tasa, sin parsear HTML. +- **Un servidor MCP** que expone cada conector como una herramienta nativa (`surfsense_reddit_scrape`, `surfsense_google_search` y más) para Claude, Cursor o cualquier framework de agentes. +- **Un arnés de agentes**, no solo datos en bruto: reintentos, salida estructurada y medición de créditos vienen integrados, así que los agentes pasan de una pregunta a un informe sin que tú construyas la infraestructura. +- **Código abierto y autoalojable**, para que tu investigación competitiva se quede en tu propia infraestructura. +## ¿Qué puedes hacer con SurfSense? -## Ejemplo de Agente de Video +Cada caso de uso a continuación es una tarea real que el agente de SurfSense ejecuta de principio a fin hoy, con una sola instrucción o según un horario. -https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a +### Flujos de trabajo multi-conector +Encadena varios conectores en una sola ejecución del agente y recibe un único informe con citas. +- **Impacto de un lanzamiento, en todas las plataformas** — "Nuestro competidor lanzó la v2 ayer. Mide la reacción en búsquedas, Reddit y YouTube." El agente extrae SERPs, hilos de Reddit y comentarios de YouTube, y luego fusiona las tres señales en un solo informe de impacto del lanzamiento. +- **Análisis de competidores locales** — Google Maps encuentra a los jugadores, el rastreador web lee sus páginas de precios y Google Search muestra quién gana la búsqueda, todo en una sola ejecución. +- **Competidor 360, según un horario** — una automatización encadena cuatro conectores cada semana: cambios en el sitio, movimientos de ranking, sentimiento en Reddit y reacción en YouTube. -## Ejemplo de Agente de Podcast +### Monitoreo de competidores -https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 +- **Vigilancia de precios** — extrae cada plan, precio y límite de las páginas de precios de tus competidores en una sola tabla, luego vuelve a verificarlas a diario y alerta ante cualquier cambio. +- **Seguimiento de producto y changelog** — rastrea las páginas de changelog, producto y empleo de tus rivales cada lunes y recibe un informe de lo que lanzaron. +- **Monitoreo de rankings y anuncios** — sigue los rankings de Google, los anuncios pagados y las citas en AI Overviews que tu mercado realmente ve, y señala los movimientos día a día. +### Generación de leads B2B -## Cómo usar SurfSense +- **Leads de negocios locales** — convierte una categoría y un territorio ("hamburgueserías en San José") en una lista de leads con teléfonos, sitios web, calificaciones y contactos de decisores extraídos de sus sitios. +- **Equipos y contactos** — rastrea el sitio de cualquier empresa y extrae el equipo completo con correos, redes sociales y la procedencia de cada dato, exportado a CSV. +- **Mapeo de portafolios y mercados** — mapea el portafolio de un inversor o una categoría completa, y luego enriquece cada empresa con precios y contactos. -### Cloud +### Escucha de marca y mercado -1. Ve a [surfsense.com](https://www.surfsense.com) e inicia sesión. +- **Monitoreo de marca en Reddit** — escucha lo que tu mercado dice sobre ti, tus competidores y tu categoría en los hilos donde los compradores hablan con franqueza. +- **Sentimiento de audiencia en YouTube** — extrae videos, transcripciones y comentarios a escala, y luego agrupa lo que las audiencias elogian y critican. +- **Minería de intención y cambios de proveedor** — encuentra a las personas que buscan activamente una alternativa a un competidor, ordenadas por qué tan listas están para cambiarse. -

Login

+### Investigación de mercado -2. Conecta tus conectores y sincroniza. Activa la sincronización periódica para mantenerlos actualizados. +- **Investigación profunda en la web en vivo** — el agente rastrea docenas de fuentes en vivo sobre una pregunta y sintetiza una respuesta con citas, no un índice desactualizado. +- **Seguimiento de AI Overviews y GEO** — captura cuándo los AI Overviews de Google responden las búsquedas de tu mercado, y exactamente qué fuentes citan. +- **Informes y alertas con citas** — todo lo que los agentes recopilan aterriza en tu espacio de trabajo como informes y alertas con fuentes que puedes verificar. -

Conectores

+### Automatiza cualquiera de estas tareas, sin código -3. Mientras se indexan los datos de los conectores, sube documentos. +Las automatizaciones ejecutan turnos completos de agente según un horario o en respuesta a eventos, y luego escriben los resultados en Notion, Slack, Linear y Jira. Describe el flujo de trabajo en lenguaje natural y SurfSense lo construye. Prueba con instrucciones como: -

Subir Documentos

+- "Vigila las páginas de precios de nuestros 3 principales competidores y avísame en Slack cuando cambie un plan o un precio." +- "Rastrea cada mención de nuestra marca en Reddit y YouTube y envíame un resumen diario." +- "Monitorea nuestro ranking en Google para nuestras 10 palabras clave principales y señala las caídas semana a semana." +- "Extrae las nuevas reseñas de Google Maps de nuestras ubicaciones y las de nuestros competidores cada lunes." +- "Ejecuta un informe mensual de análisis de la competencia y guárdalo en mi espacio de trabajo." -4. Una vez que todo esté indexado, pregunta lo que quieras (Casos de uso): +## Conectores de datos en vivo - **Aplicación de Escritorio** (extras nativos, además de todo lo de abajo, no un conjunto aparte) +| Conector | Qué obtienen tus agentes | Más información | +|---|---|---| +| **Reddit** | Publicaciones, comentarios y flujos de subreddits sin los límites de tasa de la API oficial | [Reddit Scraper API](https://www.surfsense.com/reddit) | +| **YouTube** | Videos, transcripciones e hilos de comentarios para escuchar a tu marca y productos | [YouTube Scraper API](https://www.surfsense.com/youtube) | +| **Google Maps** | Lugares, calificaciones y reseñas para investigar competidores locales y prospectos | [Google Maps Scraper API](https://www.surfsense.com/google-maps) | +| **Google Search** | SERPs en vivo para seguimiento de posiciones y monitoreo de mercado | [Google Search API](https://www.surfsense.com/google-search) | +| **Web Crawl** (rastreo web) | Cualquier página de la web abierta como contenido limpio y estructurado | [Web Crawling API](https://www.surfsense.com/web-crawl) | +| **Conectores MCP externos** | Conecta cualquier servidor MCP a tus agentes, con OAuth de un clic para Notion, Slack, Jira y más | [External MCP Connectors](https://www.surfsense.com/external-mcp-connectors) | - - General Assist: abre SurfSense al instante desde cualquier aplicación con un atajo global. +La facturación es de pago por uso: los conectores facturan por elemento realmente devuelto, los rastreos por página obtenida con éxito, y las llamadas fallidas nunca se facturan. Las instalaciones autoalojadas funcionan con la facturación desactivada. Consulta los [precios](https://www.surfsense.com/pricing). -

General Assist

+## Inicio rápido - - Quick Assist: selecciona texto en cualquier lugar y pide a la IA que lo explique, reescriba o actúe sobre él. +### Llama a un conector desde código -

Quick Assist

+Cada conector es un endpoint REST que puedes llamar desde cualquier lenguaje con tu clave de API de SurfSense: - - Screenshot Assist: captura cualquier región de tu pantalla y pregunta a la IA sobre lo que contiene. +```bash +curl -X POST "$SURFSENSE_API_URL/workspaces/$WORKSPACE_ID/scrapers/reddit/scrape" \ + -H "Authorization: Bearer $SURFSENSE_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "search_queries": ["your brand"], + "community": "webscraping", + "sort": "top", + "time_filter": "week" + }' +``` -

Screenshot Assist

+Cada [página de conector](https://www.surfsense.com/connectors) tiene ejemplos listos para copiar y pegar en Python, JavaScript, Go, PHP, Ruby, Java y C#. - - Watch Local Folder: sincroniza automáticamente una carpeta local con tu base de conocimiento. Ideal para bóvedas de Obsidian. +### Dale las herramientas a tus agentes vía MCP -

Watch Local Folder

+Agrega el servidor MCP de SurfSense a Claude, Cursor o tu propio framework de agentes: - **Estudio de Entregables** +```json +{ + "mcpServers": { + "surfsense": { + "url": "https://mcp.surfsense.com", + "headers": { "Authorization": "Bearer ${SURFSENSE_API_KEY}" } + } + } +} +``` - - AI Report Generator: genera informes de investigación con citas y expórtalos a PDF, DOCX, HTML, LaTeX, EPUB, ODT o texto plano. +Tu agente ahora puede llamar a cada conector como una herramienta nativa. Consulta la página del [servidor MCP de SurfSense](https://www.surfsense.com/mcp-server) para ver la lista completa de herramientas, o ejecuta el servidor localmente desde [`surfsense_mcp`](./surfsense_mcp). -

AI Report Generator

+### Usa la nube - - AI Podcast Generator: convierte cualquier documento o carpeta en un pódcast de IA con dos presentadores en menos de 20 segundos. +Ve a [surfsense.com](https://www.surfsense.com), inicia sesión y pídele al agente datos de mercado en vivo en lenguaje natural. Las cuentas nuevas comienzan con $5 de crédito gratuito y sin suscripción. -

AI Podcast Generator

- - AI Presentation & Video Maker: crea presentaciones editables y videos narrados a partir de tus fuentes. +### Autoalójalo gratis -

AI Presentation and Video Maker

- - - AI Image Generator: genera imágenes de alta calidad directamente desde tus chats y documentos. - -

AI Image Generator

- - - AI Resume Builder: adapta tu currículum existente a cualquier descripción de empleo y supera el ATS. - Prueba indicaciones como estas: - - - "Adapta mi currículum a esta descripción de empleo para superar el ATS y conseguir una entrevista." - - "Optimiza mi currículum para ATS haciendo coincidir las palabras clave de esta oferta." - - "Reescribe los puntos de mi currículum para resaltar las habilidades que pide este puesto." - - "Compara mi currículum con esta descripción de empleo y enumera las carencias a corregir." - - "Escribe una carta de presentación a juego con mi currículum y esta descripción de empleo." - - **Búsqueda y Chat** - - - Chat With Your PDFs & Docs: haz preguntas sobre todos tus archivos y obtén respuestas con citas en línea. - -

Chat With Your PDFs and Docs

- - - AI Search With Citations: búsqueda híbrida semántica y por palabras clave en toda tu base de conocimiento. - -

AI Search With Citations

- - - Collaborative AI Chat: trabaja en conversaciones de IA con tu equipo en tiempo real. - -

Collaborative AI Chat

- - - Comments & Mentions: comenta y menciona a tus compañeros en cualquier mensaje de IA. - -

Comments and Mentions

- - **Conectores e Integraciones** - - - Connect & Sync Your Tools: sincroniza Notion, Slack, Google Drive, Gmail, GitHub, Linear y más de 25 fuentes en un único corpus consultable. - -

Connect and Sync Your Tools

- - - Chat With Uploaded Files: sube PDFs, documentos de Office, imágenes y audio. Consultables al instante. - -

Chat With Uploaded Files

- - - Connector Write-Back: deja que el agente publique los resultados de vuelta en Notion, Slack, Linear y Drive. - Prueba indicaciones como estas: - - - "Publica este resumen de investigación en mi espacio de Notion." - - "Envía estos elementos de acción de la reunión a nuestro canal de Slack." - - "Crea un ticket de Jira a partir de este informe de error." - - "Abre una incidencia en Linear a partir de esta solicitud de función." - - "Guarda este informe generado en Google Drive como un documento." - - - Obsidian & Knowledge Base Sync: mantén tu bóveda de Obsidian y tu base de conocimiento personal sincronizadas. - - **Automatizaciones** - - - Scheduled AI Workflows: ejecuta un agente según una programación: resúmenes diarios, boletines semanales, informes recurrentes. - Prueba indicaciones como estas: - - - "Envíame cada mañana un resumen diario de los nuevos documentos en mi base de conocimiento." - - "Genera un informe de estado semanal a partir de mi Slack y Gmail cada viernes." - - "Ejecuta un informe mensual de análisis de la competencia y guárdalo en mi espacio de trabajo." - - "Resume mi actividad de GitHub y Linear en una actualización diaria de standup." - - "Crea un informe de investigación semanal recurrente sobre los temas que sigo." - - - Event-Triggered Automations: lanza un agente en el momento en que un documento llega a una carpeta y publica el resultado en tus herramientas. - Prueba indicaciones como estas: - - - "Cuando llegue un PDF a mi carpeta de Investigación, genera un resumen de IA con citas." - - "Cuando se añadan nuevas notas de reunión, conviértelas en actas con elementos de acción." - - "Cuando se suba una factura, extrae el proveedor, el total y la fecha de vencimiento en una tabla." - - "Cuando entre un contrato en mi carpeta Legal, señala los términos clave y las fechas de renovación." - - "Cuando se añada un currículum a Candidatos, evalúalo frente a la descripción del empleo." - - - Chat-Built Automations: describe una automatización en lenguaje sencillo y SurfSense la crea por ti. - Prueba indicaciones como estas: - - - "Crea un agente de IA que me envíe cada mañana un resumen de las nuevas páginas de Notion." - - "Crea una automatización sin código que publique un resumen de investigación semanal en Slack." - - "Configura un tomador de notas con IA que convierta las nuevas notas de reunión en actas." - - "Crea un flujo que extraiga los elementos de acción de las notas de reunión y asigne responsables." - - "Automatiza un resumen diario por correo a partir de mi Gmail y Google Drive." - - -### Auto-Hospedado - -Ejecuta SurfSense en tu propia infraestructura para control total de datos y privacidad. +Ejecuta toda la plataforma, los conectores, los agentes, las automatizaciones y el servidor MCP en tu propia infraestructura. Las instalaciones autoalojadas vienen con la facturación desactivada, así que el scraping, el rastreo y las ejecuciones de agentes solo están limitados por tu hardware y las claves de modelos que aportes. **Requisitos previos:** [Docker Desktop](https://www.docker.com/products/docker-desktop/) debe estar instalado y en ejecución. -#### Para usuarios de Linux/MacOS: +Para Linux/macOS: ```bash curl -fsSL https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.sh | bash ``` -#### Para usuarios de Windows: +Para Windows: -```powershell +```bash irm https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.ps1 | iex ``` -El script de instalación configura [Watchtower](https://github.com/nicholas-fedor/watchtower) automáticamente para actualizaciones diarias. Para omitirlo, agrega la bandera `--no-watchtower`. +El script de instalación configura [Watchtower](https://github.com/nicholas-fedor/watchtower) automáticamente para actualizaciones automáticas diarias. Para omitirlo, agrega la opción `--no-watchtower`. Para Docker Compose, instalación manual y otras opciones de despliegue, consulta la [documentación](https://www.surfsense.com/docs/). -Para Docker Compose, instalación manual y otras opciones de despliegue, consulta la [documentación](https://www.surfsense.com/docs/). +## Todo lo demás que viene incluido -### Aplicación de Escritorio +El espacio de trabajo de investigación que convirtió a SurfSense en la alternativa de código abierto líder a NotebookLM sigue aquí, y todo lo que tus agentes recopilan aterriza en él. -SurfSense también ofrece una aplicación de escritorio que lleva la asistencia de IA a cada aplicación en tu computadora. Descárgala desde la [última versión](https://github.com/MODSetter/SurfSense/releases/latest). +**Base de conocimiento** -La aplicación de escritorio incluye estas potentes funciones: +- Sube PDFs, documentos de Office, imágenes y audio, o sincroniza **Google Drive, OneDrive y Dropbox**. Más de 50 formatos de archivo compatibles. +- Búsqueda híbrida semántica y de texto completo con respuestas citadas al estilo Perplexity. +- La organización de archivos con IA clasifica los documentos automáticamente por fuente, fecha y tema. -- **General Assist** — Lanza SurfSense al instante desde cualquier aplicación con un atajo global. -- **Quick Assist** — Selecciona texto en cualquier lugar, luego pide a la IA que lo explique, reescriba o actúe sobre él. -- **Screenshot Assist** — Selecciona una región de tu pantalla y adjúntala al chat para que las respuestas se basen en tu base de conocimiento. -- **Watch Local Folder** — Vigila una carpeta local y sincroniza automáticamente los cambios de archivos con tu base de conocimiento. **Pro tip:** Apúntalo a tu bóveda de Obsidian para mantener tus notas buscables en SurfSense. +

Chatea con tus PDFs y documentos

-Todas las funciones operan contra tu espacio de búsqueda elegido, por lo que tus respuestas siempre están basadas en tus propios datos. +**Estudio de entregables** -### Cómo Colaborar en Tiempo Real (Beta) +- Generador de informes con IA con exportación a PDF, DOCX, HTML, LaTeX, EPUB, ODT o texto plano. +- Podcasts de IA con dos presentadores a partir de cualquier documento o carpeta en menos de 20 segundos. +- Presentaciones de diapositivas editables, resúmenes en video narrados y generación de imágenes con IA. -1. Ve a la página de Gestión de Miembros y crea una invitación. +

Generador de informes con IA

-

Invitar Miembros

+**Colaboración en equipo** -2. El compañero de equipo se une y ese SearchSpace se comparte. +- Chats de IA colaborativos en tiempo real con comentarios y menciones. +- RBAC con roles de Propietario, Administrador, Editor y Visualizador. -

Flujo de Unión por Invitación

+

Chat de IA colaborativo

-3. Haz el chat compartido. +**Aplicación de escritorio** -

Hacer Chat Compartido

+Asistencia de IA nativa en todas las aplicaciones de tu computadora. Descárgala desde la [última versión](https://github.com/MODSetter/SurfSense/releases/latest). -4. Tu equipo ahora puede chatear en tiempo real. +- **General Assist**: abre SurfSense desde cualquier aplicación con un atajo global. +- **Quick Assist**: selecciona texto en cualquier lugar y pídele a la IA que lo explique, lo reescriba o actúe sobre él. +- **Screenshot Assist**: captura cualquier región de tu pantalla y pregúntale a la IA sobre ella. +- **Watch Local Folder** (vigilar carpeta local): sincroniza automáticamente una carpeta local con tu base de conocimiento. Apúntala a tu bóveda de Obsidian para mantener tus notas disponibles para búsqueda. -

Chat en Tiempo Real

+

Quick Assist

-5. Agrega comentarios para etiquetar a compañeros de equipo. +**Sin dependencia de un proveedor** -

Comentarios en Tiempo Real

+- Más de 100 LLMs vía la especificación de OpenAI y LiteLLM, incluidos GPT-5.5, Claude Sonnet 5 y Gemini 3.1 Pro. +- Más de 6,000 modelos de embeddings y todos los rerankers principales. +- Soporte completo para LLMs locales y privados (vLLM, Ollama), para que tus datos sigan siendo tuyos. + +## Muestra del agente de video + +https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a + +## Muestra del agente de podcast + +https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 + +## Cómo colaborar en tiempo real (Beta) + +1. Ve a la página de administración de miembros y crea una invitación. + +

Invitar miembros

+ +2. Un compañero de equipo se une y ese espacio de trabajo se vuelve compartido. + +

Flujo de invitación y unión

+ +3. Haz que un chat sea compartido y trabajen en él juntos en tiempo real, con comentarios para etiquetar a compañeros. + +

Comentarios en tiempo real

## SurfSense vs Google NotebookLM +¿Todavía nos comparas como una alternativa a NotebookLM? Aquí tienes el desglose honesto. + | Característica | Google NotebookLM | SurfSense | |---------|-------------------|-----------| -| **Fuentes por Notebook** | 50 (Gratis) a 600 (Ultra, $249.99/mes) | Ilimitadas | -| **Número de Notebooks** | 100 (Gratis) a 500 (planes de pago) | Ilimitados | -| **Límite de Tamaño de Fuente** | 500,000 palabras / 200MB por fuente | Sin límite | -| **Precios** | Nivel gratuito disponible; Pro $19.99/mes, Ultra $249.99/mes | Gratuito y de código abierto, auto-hospedable en tu propia infra | -| **Soporte de LLM** | Solo Google Gemini | 100+ LLMs vía OpenAI spec y LiteLLM | -| **Modelos de Embeddings** | Solo Google | 6,000+ modelos de embeddings, todos los principales rerankers | -| **LLMs Locales / Privados** | No disponible | Soporte completo (vLLM, Ollama) - tus datos son tuyos | -| **Auto-Hospedable** | No | Sí - Docker en un solo comando o Docker Compose completo | -| **Código Abierto** | No | Sí | -| **Conectores Externos** | Google Drive, YouTube, sitios web | 27+ conectores - Motores de búsqueda, Google Drive, OneDrive, Dropbox, Slack, Teams, Jira, Notion, GitHub, Discord y [más](#fuentes-externas) | -| **Soporte de Formatos de Archivo** | PDFs, Docs, Slides, Sheets, CSV, Word, EPUB, imágenes, URLs web, YouTube | 50+ formatos - documentos, imágenes, videos vía LlamaCloud, Unstructured o Docling (local) | -| **Búsqueda** | Búsqueda semántica | Búsqueda Híbrida - Semántica + Texto completo con Índices Jerárquicos y Reciprocal Rank Fusion | -| **Respuestas con Citas** | Sí | Sí - Respuestas citadas al estilo Perplexity | -| **Arquitectura de Agentes** | No | Sí - impulsado por [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) con planificación, subagentes y acceso al sistema de archivos | -| **Multijugador en Tiempo Real** | Notebooks compartidos con roles de Visor/Editor (sin chat en tiempo real) | RBAC con roles de Propietario / Admin / Editor / Visor, chat en tiempo real e hilos de comentarios | -| **Generación de Videos** | Resúmenes en video cinemáticos vía Veo 3 (solo Ultra) | Disponible (NotebookLM es mejor aquí, mejorando activamente) | -| **Generación de Presentaciones** | Diapositivas más atractivas pero no editables | Crea presentaciones editables basadas en diapositivas | -| **Generación de Podcasts** | Resúmenes de audio con hosts e idiomas personalizables | Disponible con múltiples proveedores TTS (NotebookLM es mejor aquí, mejorando activamente) | -| **Automatizaciones y Agentes de IA** | No | Flujos de trabajo de IA programados, disparadores por eventos en documentos nuevos y automatizaciones sin código creadas por chat con escritura de vuelta a Notion, Slack, Linear y Jira | -| **Aplicación de Escritorio** | No | Aplicación nativa con General Assist, Quick Assist, Screenshot Assist y sincronización de carpetas locales | -| **Extensión de Navegador** | No | Extensión multi-navegador para guardar cualquier página web, incluyendo páginas protegidas por autenticación | +| **Datos de mercado en vivo para agentes** | No | Conectores de Reddit, YouTube, Google Maps, Google Search y rastreo web vía API REST y MCP | +| **Servidor MCP** | No | Cada conector expuesto como herramienta nativa de agente, más servidores MCP propios con aplicaciones OAuth de un clic | +| **Fuentes por Notebook** | 50 (gratis) a 600 (Ultra, $249.99/mes) | Ilimitadas | +| **Número de Notebooks** | 100 (gratis) a 500 (niveles de pago) | Ilimitado | +| **Límite de tamaño por fuente** | 500,000 palabras / 200MB por fuente | Sin límite | +| **Precios** | Nivel gratuito; Pro $19.99/mes, Ultra $249.99/mes | Gratuito y de código abierto para autoalojar; la nube es de pago por uso con $5 de crédito gratuito | +| **Soporte de LLM** | Solo Google Gemini | Más de 100 LLMs vía la especificación de OpenAI y LiteLLM | +| **Modelos de embeddings** | Solo Google | Más de 6,000 modelos de embeddings, todos los rerankers principales | +| **LLMs locales / privados** | No disponible | Soporte completo (vLLM, Ollama), tus datos siguen siendo tuyos | +| **Autoalojable** | No | Sí, con un solo comando de Docker o Docker Compose completo | +| **Código abierto** | No | Sí | +| **Fuentes de la base de conocimiento** | Google Drive, YouTube, sitios web | Subida de archivos, Google Drive, OneDrive, Dropbox, sincronización de carpetas locales y páginas rastreadas | +| **Formatos de archivo compatibles** | PDFs, Docs, Slides, Sheets, CSV, Word, EPUB, imágenes, URLs web, YouTube | Más de 50 formatos: documentos, imágenes, videos vía LlamaCloud, Unstructured o Docling (local) | +| **Búsqueda** | Búsqueda semántica | Híbrida semántica + texto completo con índices jerárquicos y fusión de rangos recíprocos | +| **Respuestas con citas** | Sí | Sí, respuestas citadas al estilo Perplexity | +| **Arquitectura agéntica** | No | Sí, impulsada por [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) con planificación, subagentes y acceso al sistema de archivos | +| **Automatizaciones y agentes de IA** | No | Flujos de trabajo programados, activadores por eventos y automatizaciones sin código creadas por chat con escritura en Notion, Slack, Linear y Jira | +| **Multijugador en tiempo real** | Notebooks compartidos con roles de Visualizador/Editor (sin chat en tiempo real) | RBAC con roles de Propietario / Administrador / Editor / Visualizador, chat en tiempo real e hilos de comentarios | +| **Generación de video** | Resúmenes de video cinematográficos vía Veo 3 (solo Ultra) | Disponible (NotebookLM es mejor aquí, en mejora activa) | +| **Generación de presentaciones** | Diapositivas más atractivas pero no editables | Presentaciones editables basadas en diapositivas | +| **Generación de podcasts** | Resúmenes de audio con presentadores e idiomas personalizables | Disponible con múltiples proveedores de TTS (NotebookLM es mejor aquí, en mejora activa) | +| **Aplicación de escritorio** | No | Aplicación nativa con General Assist, Quick Assist, Screenshot Assist y sincronización de carpetas locales | -
-Lista completa de Fuentes Externas - +## Solicitudes de funciones y futuro -Motores de Búsqueda (SearXNG, Tavily, LinkUp, Baidu Search) · Google Drive · OneDrive · Dropbox · Slack · Microsoft Teams · Linear · Jira · ClickUp · Confluence · BookStack · Notion · Gmail · Videos de YouTube · GitHub · Discord · Airtable · Google Calendar · Luma · Circleback · Elasticsearch · Obsidian, y más por venir. - -
- - -## SOLICITUDES DE FUNCIONES Y FUTURO - - -**SurfSense está en desarrollo activo.** Aunque aún no está listo para producción, puedes ayudarnos a acelerar el proceso. +**SurfSense está en desarrollo activo.** Aunque todavía no está listo para producción, puedes ayudarnos a acelerar el proceso. ¡Únete al [Discord de SurfSense](https://discord.gg/ejRNvftDp9) y ayuda a dar forma al futuro de SurfSense! -## Hoja de Ruta +## Hoja de ruta -¡Mantente al día con nuestro progreso de desarrollo y próximas funcionalidades! -Consulta nuestra hoja de ruta pública y contribuye con tus ideas o comentarios: +Mantente al día con nuestro progreso de desarrollo y las próximas funciones. Consulta nuestra hoja de ruta pública y aporta tus ideas o comentarios: -**Discusión de la Hoja de Ruta:** [SurfSense 2026 Roadmap](https://github.com/MODSetter/SurfSense/discussions/565) +**Discusión de la hoja de ruta:** [SurfSense 2026 Roadmap](https://github.com/MODSetter/SurfSense/discussions/565) **Tablero Kanban:** [SurfSense Project Board](https://github.com/users/MODSetter/projects/3) +## Contribuye -## Contribuir - -Todas las contribuciones son bienvenidas, desde estrellas y reportes de bugs hasta mejoras del backend. Consulta [CONTRIBUTING.md](CONTRIBUTING.md) para comenzar. +Todas las contribuciones son bienvenidas, desde estrellas y reportes de errores hasta mejoras del backend. Consulta [CONTRIBUTING.md](CONTRIBUTING.md) para comenzar. Gracias a todos nuestros Surfers: @@ -310,7 +291,7 @@ Gracias a todos nuestros Surfers: -## Historial de Stars +## Historial de estrellas diff --git a/README.hi.md b/README.hi.md index 10b246385..1c9cfa4a7 100644 --- a/README.hi.md +++ b/README.hi.md @@ -1,4 +1,4 @@ -readme_banner +SurfSense, AI एजेंट्स के लिए ओपन सोर्स कॉम्पिटिटिव इंटेलिजेंस प्लेटफ़ॉर्म @@ -20,297 +20,278 @@ MODSetter%2FSurfSense | Trendshift -# SurfSense +# SurfSense: अपने AI एजेंट्स को दें कॉम्पिटिटिव इंटेलिजेंस -NotebookLM वहाँ उपलब्ध सबसे अच्छे और सबसे उपयोगी AI प्लेटफ़ॉर्म में से एक है, लेकिन जब आप इसे नियमित रूप से उपयोग करना शुरू करते हैं तो आप इसकी सीमाओं को भी महसूस करते हैं जो कुछ और की चाह छोड़ती हैं। +SurfSense **AI एजेंट्स के लिए ओपन सोर्स कॉम्पिटिटिव इंटेलिजेंस प्लेटफ़ॉर्म** है। आपके एजेंट प्रतिस्पर्धियों पर नज़र रखते हैं, रैंकिंग ट्रैक करते हैं, और **Reddit, YouTube, Google Maps, Google Search और ओपन वेब** से लाइव डेटा के साथ आपके बाज़ार की बात सुनते हैं, वह भी एक ही **REST API** या **MCP सर्वर** के ज़रिए। शेड्यूल्ड और इवेंट-ट्रिगर्ड एजेंट अपनी खोजों को ब्रीफ़ और अलर्ट में बदलते हैं, और एक बिल्ट-इन नॉलेज बेस हर खोज को साइटेशन के साथ खोजने योग्य बनाए रखता है। -1. एक notebook में जोड़े जा सकने वाले स्रोतों की मात्रा पर सीमाएं हैं। -2. आपके पास कितने notebooks हो सकते हैं इस पर सीमाएं हैं। -3. आपके पास ऐसे स्रोत नहीं हो सकते जो 500,000 शब्दों और 200MB से अधिक हों। -4. आप Google सेवाओं (LLMs, उपयोग मॉडल, आदि) में बंद हैं और उन्हें कॉन्फ़िगर करने का कोई विकल्प नहीं है। -5. सीमित बाहरी डेटा स्रोत और सेवा एकीकरण। -6. NotebookLM एजेंट विशेष रूप से केवल अध्ययन और शोध के लिए अनुकूलित है, लेकिन आप स्रोत डेटा के साथ और भी बहुत कुछ कर सकते हैं। -7. मल्टीप्लेयर सपोर्ट की कमी। +> [!NOTE] +> **📢 हमारे NotebookLM-विकल्प उपयोगकर्ताओं के लिए एक सूचना** +> +> पिछले कुछ महीनों में हमने SurfSense को आपके अपने ज्ञान के लिए सबसे बेहतरीन जनरल रिसर्च एजेंट के रूप में बनाया, और उस अध्याय ने हमें एक ऐसा समुदाय दिया जिस पर हमें सचमुच गर्व है। Claude, OpenCode, Hermes और OpenClaw जैसे एजेंटिक टूल्स ने अब साबित कर दिया है कि एजेंट ही भविष्य हैं, और जनरल रिसर्च अब हर सक्षम एजेंट की एक बुनियादी क्षमता बनती जा रही है। एजेंट्स के पास अब भी जिस चीज़ की कमी है वह है **लाइव मार्केट डेटा और उसके इर्द-गिर्द के वर्कफ़्लो**, इसलिए हम अपनी पूरी ऊर्जा वहीं लगा रहे हैं: निश्चित रूप से सबसे बेहतरीन ओपन सोर्स कॉम्पिटिटिव इंटेलिजेंस एजेंट प्लेटफ़ॉर्म बनना। +> +> **आप जिस भी चीज़ पर निर्भर हैं, वह कहीं नहीं जा रही।** आपका नॉलेज बेस, साइटेशन वाली चैट, रिपोर्ट, पॉडकास्ट, प्रेज़ेंटेशन, ऑटोमेशन और सहयोगी चैट, सब पहले की तरह काम करते रहेंगे, और सेल्फ-होस्टिंग मुफ़्त और ओपन सोर्स बनी रहेगी। पूरी घोषणा [हमारे changelog](https://www.surfsense.com/changelog) पर पढ़ें। -...और भी बहुत कुछ। +## विषय-सूची -**SurfSense विशेष रूप से इन समस्याओं को हल करने के लिए बनाया गया है।** SurfSense आपको सक्षम बनाता है: +- [एजेंट्स को SurfSense की ज़रूरत क्यों है](#एजेंट्स-को-surfsense-की-ज़रूरत-क्यों-है) +- [SurfSense से आप क्या कर सकते हैं?](#surfsense-से-आप-क्या-कर-सकते-हैं) +- [लाइव डेटा कनेक्टर](#लाइव-डेटा-कनेक्टर) +- [क्विक स्टार्ट](#क्विक-स्टार्ट) +- [बॉक्स में बाकी सब कुछ](#बॉक्स-में-बाकी-सब-कुछ) +- [SurfSense बनाम Google NotebookLM](#surfsense-बनाम-google-notebooklm) +- [रोडमैप](#रोडमैप) +- [योगदान करें](#योगदान-करें) -- **अपने डेटा प्रवाह को नियंत्रित करें** - अपने डेटा को निजी और सुरक्षित रखें। -- **कोई डेटा सीमा नहीं** - असीमित मात्रा में स्रोत और notebooks जोड़ें। -- **कोई विक्रेता लॉक-इन नहीं** - किसी भी LLM, इमेज, TTS और STT मॉडल को कॉन्फ़िगर करें। -- **25+ बाहरी डेटा स्रोत** - Google Drive, OneDrive, Dropbox, Notion और कई अन्य बाहरी सेवाओं से अपने स्रोत जोड़ें। -- **रीयल-टाइम मल्टीप्लेयर सपोर्ट** - एक साझा notebook में अपनी टीम के सदस्यों के साथ आसानी से काम करें। -- **AI ऑटोमेशन और एजेंट** - AI एजेंट को शेड्यूल पर चलाएं या जैसे ही कोई दस्तावेज़ किसी फ़ोल्डर में आए उसे ट्रिगर करें, फिर परिणाम वापस Notion, Slack, Linear और Drive में लिखें। चैट में बस वर्णन करके बिना-कोड ऑटोमेशन बनाएं। -- **डेस्कटॉप ऐप** - Quick Assist, General Assist, Screenshot Assist और लोकल फ़ोल्डर सिंक के साथ किसी भी एप्लिकेशन में AI सहायता प्राप्त करें। +## एजेंट्स को SurfSense की ज़रूरत क्यों है -...और भी बहुत कुछ आने वाला है। +किसी भी सक्षम एजेंट से पूछिए "इस हफ़्ते प्रतिस्पर्धी क्या दाम ले रहे हैं?" या "लॉन्च के बाद से Reddit पर हमारे बारे में क्या कहा जा रहा है?" और उसके पास देखने के लिए कोई भरोसेमंद जगह नहीं होती। आधिकारिक प्लेटफ़ॉर्म API या तो रेट-लिमिटेड हैं, एंटरप्राइज़ के हिसाब से महंगे हैं, या हैं ही नहीं, और स्क्रैपिंग का ढांचा नाज़ुक होता है। SurfSense इसी कमी को पूरा करता है: +- **प्लेटफ़ॉर्म-नेटिव कनेक्टर**, हर एक टाइप्ड REST एंडपॉइंट है जो स्ट्रक्चर्ड JSON लौटाता है। न रेट-लिमिट का जुआ, न HTML पार्सिंग। +- **एक MCP सर्वर** जो हर कनेक्टर को नेटिव टूल के रूप में (`surfsense_reddit_scrape`, `surfsense_google_search` और अन्य) Claude, Cursor या किसी भी एजेंट फ़्रेमवर्क को उपलब्ध कराता है। +- **एक एजेंट हार्नेस**, सिर्फ़ कच्चा डेटा नहीं: रीट्राई, स्ट्रक्चर्ड आउटपुट और क्रेडिट मीटरिंग बिल्ट-इन हैं, ताकि एजेंट सवाल से सीधे ब्रीफ़ तक पहुंच सकें और आपको ढांचा खुद न बनाना पड़े। +- **ओपन सोर्स और सेल्फ-होस्ट करने योग्य**, ताकि आपकी प्रतिस्पर्धी रिसर्च आपके अपने इन्फ्रास्ट्रक्चर पर ही रहे। +## SurfSense से आप क्या कर सकते हैं? -## वीडियो एजेंट नमूना +नीचे दिया गया हर यूज़ केस एक वास्तविक कार्य है जिसे SurfSense एजेंट आज शुरू से अंत तक पूरा करता है, एक ही प्रॉम्प्ट में या शेड्यूल पर। -https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a +### मल्टी-कनेक्टर वर्कफ़्लो +एक ही एजेंट रन में कई कनेक्टर जोड़ें और बदले में एक ही साइटेशन वाला ब्रीफ़ पाएं। +- **लॉन्च का असर, हर प्लेटफ़ॉर्म पर** — "हमारे प्रतिस्पर्धी ने कल v2 लॉन्च किया। सर्च, Reddit और YouTube पर प्रतिक्रिया मापो।" एजेंट SERPs, Reddit थ्रेड और YouTube कमेंट स्क्रैप करता है, फिर तीनों सिग्नल को एक ही लॉन्च-इम्पैक्ट ब्रीफ़ में मिला देता है। +- **स्थानीय प्रतिस्पर्धियों का विश्लेषण** — Google Maps खिलाड़ियों को ढूंढता है, वेब क्रॉलर उनके प्राइसिंग पेज पढ़ता है, और Google Search दिखाता है कि सर्च में कौन जीत रहा है, सब एक ही रन में। +- **कॉम्पिटिटर 360, शेड्यूल पर** — एक ऑटोमेशन हर हफ़्ते चार कनेक्टर जोड़ता है: साइट में बदलाव, रैंक में उतार-चढ़ाव, Reddit सेंटिमेंट और YouTube की प्रतिक्रिया। -## पॉडकास्ट एजेंट नमूना +### प्रतिस्पर्धी मॉनिटरिंग -https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 +- **प्राइसिंग वॉच** — प्रतिस्पर्धियों के प्राइसिंग पेजों से हर प्लान, कीमत और लिमिट एक ही टेबल में निकालो, फिर रोज़ाना दोबारा जांचो और किसी भी बदलाव पर अलर्ट पाओ। +- **प्रोडक्ट और changelog ट्रैकिंग** — हर सोमवार प्रतिद्वंद्वियों के changelog, प्रोडक्ट और करियर पेज क्रॉल करो और जानो कि उन्होंने क्या लॉन्च किया। +- **रैंक और विज्ञापन मॉनिटरिंग** — वे Google रैंकिंग, पेड विज्ञापन और AI Overview साइटेशन ट्रैक करो जो आपका बाज़ार वास्तव में देखता है, और दिन-प्रतिदिन के बदलावों को फ़्लैग करो। +### B2B लीड जनरेशन -## SurfSense का उपयोग कैसे करें +- **स्थानीय बिज़नेस लीड** — किसी श्रेणी और क्षेत्र ("सैन होज़े में बर्गर की दुकानें") को फ़ोन, वेबसाइट, रेटिंग और उनकी साइटों से निकाले गए निर्णयकर्ताओं के संपर्कों वाली लीड सूची में बदलो। +- **टीम रोस्टर और संपर्क** — किसी भी कंपनी की साइट को क्रॉल करो और ईमेल, सोशल मीडिया और हर डेटा के स्रोत के साथ पूरी टीम निकालो, CSV में एक्सपोर्ट के साथ। +- **पोर्टफ़ोलियो और मार्केट मैपिंग** — किसी निवेशक का पोर्टफ़ोलियो या पूरी श्रेणी मैप करो, फिर हर कंपनी को प्राइसिंग और संपर्कों के साथ समृद्ध करो। -### Cloud +### ब्रांड और मार्केट लिसनिंग -1. [surfsense.com](https://www.surfsense.com) पर जाएं और लॉगिन करें। +- **Reddit ब्रांड मॉनिटरिंग** — उन थ्रेड्स में सुनो जहां ख़रीदार खुलकर बोलते हैं कि आपका बाज़ार आपके, आपके प्रतिस्पर्धियों और आपकी श्रेणी के बारे में क्या कह रहा है। +- **YouTube ऑडियंस सेंटिमेंट** — वीडियो, ट्रांसक्रिप्ट और कमेंट बड़े पैमाने पर खींचो, फिर पता लगाओ कि दर्शक किस चीज़ की तारीफ़ करते हैं और किस पर शिकायत। +- **विकल्प खोजने वालों और इरादे की माइनिंग** — उन लोगों को ढूंढो जो सक्रिय रूप से किसी प्रतिस्पर्धी का विकल्प खोज रहे हैं, इस आधार पर क्रमबद्ध कि वे बदलने के लिए कितने तैयार हैं। -

लॉगिन

+### मार्केट रिसर्च -2. अपने कनेक्टर जोड़ें और सिंक करें। कनेक्टर्स को अपडेट रखने के लिए आवधिक सिंकिंग सक्षम करें। +- **लाइव वेब पर गहन रिसर्च** — एजेंट किसी सवाल पर दर्जनों लाइव स्रोत क्रॉल करता है और साइटेशन के साथ जवाब तैयार करता है, कोई पुराना इंडेक्स नहीं। +- **AI Overview और GEO ट्रैकिंग** — कैप्चर करो कि Google के AI Overviews आपके बाज़ार की क्वेरी का जवाब कब देते हैं, और वे ठीक-ठीक किन स्रोतों को साइट करते हैं। +- **साइटेशन वाले ब्रीफ़ और अलर्ट** — एजेंट जो कुछ भी इकट्ठा करते हैं वह आपके वर्कस्पेस में ब्रीफ़ और अलर्ट के रूप में पहुंचता है, ऐसे स्रोतों के साथ जिन्हें आप जांच सकते हैं। -

कनेक्टर्स

+### इनमें से कुछ भी ऑटोमेट करें, बिना कोड के -3. जब तक कनेक्टर्स का डेटा इंडेक्स हो रहा है, दस्तावेज़ अपलोड करें। +ऑटोमेशन शेड्यूल पर या इवेंट के जवाब में पूरे एजेंट टर्न चलाते हैं, फिर नतीजे Notion, Slack, Linear और Jira में वापस लिख देते हैं। वर्कफ़्लो को सीधी-सादी भाषा में बताइए और SurfSense उसे बना देगा। ये प्रॉम्प्ट आज़माएं: -

दस्तावेज़ अपलोड करें

+- "हमारे टॉप 3 प्रतिस्पर्धियों के प्राइसिंग पेज पर नज़र रखो और जब कोई प्लान या कीमत बदले तो मुझे Slack में अलर्ट करो।" +- "Reddit और YouTube पर हमारे ब्रांड के हर उल्लेख को ट्रैक करो और मुझे रोज़ाना डाइजेस्ट भेजो।" +- "हमारे टॉप 10 कीवर्ड के लिए हमारी Google रैंकिंग मॉनिटर करो और हफ़्ते-दर-हफ़्ते गिरावट को फ़्लैग करो।" +- "हर सोमवार हमारी लोकेशनों और हमारे प्रतिस्पर्धियों की नई Google Maps रिव्यू खींचो।" +- "हर महीने एक प्रतिस्पर्धी विश्लेषण रिपोर्ट चलाओ और उसे मेरे वर्कस्पेस में सेव करो।" -4. सब कुछ इंडेक्स हो जाने के बाद, कुछ भी पूछें (उपयोग के मामले): +## लाइव डेटा कनेक्टर - **डेस्कटॉप ऐप** (नीचे दी गई सभी सुविधाओं के अलावा नेटिव एक्स्ट्रा, कोई अलग सेट नहीं) +| कनेक्टर | आपके एजेंट्स को क्या मिलता है | और जानें | +|---|---|---| +| **Reddit** | आधिकारिक API की रेट लिमिट के बिना पोस्ट, कमेंट और सबरेडिट स्ट्रीम | [Reddit Scraper API](https://www.surfsense.com/reddit) | +| **YouTube** | ब्रांड और प्रोडक्ट लिसनिंग के लिए वीडियो, ट्रांसक्रिप्ट और कमेंट थ्रेड | [YouTube Scraper API](https://www.surfsense.com/youtube) | +| **Google Maps** | स्थानीय प्रतिस्पर्धी और लीड रिसर्च के लिए स्थान, रेटिंग और रिव्यू | [Google Maps Scraper API](https://www.surfsense.com/google-maps) | +| **Google Search** | रैंक ट्रैकिंग और मार्केट मॉनिटरिंग के लिए लाइव SERP | [Google Search API](https://www.surfsense.com/google-search) | +| **Web Crawl** | ओपन वेब का कोई भी पेज साफ़-सुथरे, स्ट्रक्चर्ड कंटेंट के रूप में | [Web Crawling API](https://www.surfsense.com/web-crawl) | +| **External MCP Connectors** | कोई भी MCP सर्वर अपने एजेंट्स से जोड़ें, Notion, Slack, Jira और अन्य के लिए वन-क्लिक OAuth के साथ | [External MCP Connectors](https://www.surfsense.com/external-mcp-connectors) | - - General Assist: किसी भी ऐप्लिकेशन से ग्लोबल शॉर्टकट के ज़रिए SurfSense तुरंत खोलें। +बिलिंग पे-एज़-यू-गो है: कनेक्टर सिर्फ़ वास्तव में लौटाए गए हर आइटम पर बिल करते हैं, क्रॉल सफलतापूर्वक फ़ेच किए गए हर पेज पर, और असफल कॉल कभी बिल नहीं होतीं। सेल्फ-होस्टेड इंस्टॉल बिलिंग बंद रखकर चलते हैं। देखें [pricing](https://www.surfsense.com/pricing)। -

General Assist

+## क्विक स्टार्ट - - Quick Assist: कहीं भी टेक्स्ट चुनें और AI से उसे समझाने, दोबारा लिखने या उस पर कार्रवाई करने को कहें। +### कोड से कनेक्टर कॉल करें -

Quick Assist

+हर कनेक्टर एक REST एंडपॉइंट है जिसे आप अपनी SurfSense API कुंजी के साथ किसी भी भाषा से कॉल कर सकते हैं: - - Screenshot Assist: अपनी स्क्रीन का कोई भी हिस्सा कैप्चर करें और AI से उसमें मौजूद चीज़ों के बारे में पूछें। +```bash +curl -X POST "$SURFSENSE_API_URL/workspaces/$WORKSPACE_ID/scrapers/reddit/scrape" \ + -H "Authorization: Bearer $SURFSENSE_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "search_queries": ["your brand"], + "community": "webscraping", + "sort": "top", + "time_filter": "week" + }' +``` -

Screenshot Assist

+हर [कनेक्टर पेज](https://www.surfsense.com/connectors) पर Python, JavaScript, Go, PHP, Ruby, Java और C# में कॉपी-पेस्ट उदाहरण मौजूद हैं। - - Watch Local Folder: किसी लोकल फ़ोल्डर को अपने नॉलेज बेस के साथ अपने-आप सिंक करें। Obsidian vaults के लिए बढ़िया। +### MCP के ज़रिए ये टूल्स अपने एजेंट्स को दें -

Watch Local Folder

+SurfSense MCP सर्वर को Claude, Cursor या अपने एजेंट फ़्रेमवर्क में जोड़ें: - **डिलीवरेबल स्टूडियो** +```json +{ + "mcpServers": { + "surfsense": { + "url": "https://mcp.surfsense.com", + "headers": { "Authorization": "Bearer ${SURFSENSE_API_KEY}" } + } + } +} +``` - - AI Report Generator: उद्धरण सहित रिसर्च रिपोर्ट बनाएं और PDF, DOCX, HTML, LaTeX, EPUB, ODT या सादे टेक्स्ट में एक्सपोर्ट करें। +अब आपका एजेंट हर कनेक्टर को नेटिव टूल के रूप में कॉल कर सकता है। टूल्स की पूरी सूची के लिए [SurfSense MCP सर्वर](https://www.surfsense.com/mcp-server) पेज देखें, या [`surfsense_mcp`](./surfsense_mcp) से सर्वर को लोकली चलाएँ। -

AI Report Generator

+### क्लाउड इस्तेमाल करें - - AI Podcast Generator: किसी भी दस्तावेज़ या फ़ोल्डर को 20 सेकंड से भी कम में दो-होस्ट वाले AI पॉडकास्ट में बदलें। +[surfsense.com](https://www.surfsense.com) पर जाएं, लॉग इन करें, और एजेंट से सीधी-सादी भाषा में लाइव मार्केट डेटा मांगें। नए अकाउंट $5 के मुफ़्त क्रेडिट के साथ शुरू होते हैं, बिना किसी सब्सक्रिप्शन के। -

AI Podcast Generator

- - AI Presentation & Video Maker: अपने स्रोतों से एडिट करने योग्य स्लाइड डेक और नैरेटेड वीडियो बनाएं। +### मुफ़्त में सेल्फ-होस्ट करें -

AI Presentation and Video Maker

+पूरा प्लेटफ़ॉर्म, कनेक्टर, एजेंट, ऑटोमेशन और MCP सर्वर अपने इन्फ्रास्ट्रक्चर पर चलाएं। सेल्फ-होस्टेड इंस्टॉल बिलिंग बंद के साथ आते हैं, इसलिए स्क्रैपिंग, क्रॉलिंग और एजेंट रन की सीमा सिर्फ़ आपके हार्डवेयर और आपके द्वारा लाई गई मॉडल कुंजियों पर निर्भर करती है। - - AI Image Generator: अपनी चैट और दस्तावेज़ों से सीधे उच्च-गुणवत्ता वाली इमेज बनाएं। +**आवश्यकताएं:** [Docker Desktop](https://www.docker.com/products/docker-desktop/) इंस्टॉल होना और चल रहा होना चाहिए। -

AI Image Generator

- - - AI Resume Builder: अपने मौजूदा रिज़्यूमे को किसी भी जॉब डिस्क्रिप्शन के अनुसार ढालें और ATS को पार करें। - इस तरह के प्रॉम्प्ट आज़माएं: - - - "मेरे रिज़्यूमे को इस जॉब डिस्क्रिप्शन के अनुसार ढालें ताकि वह ATS पार करे और इंटरव्यू दिलाए।" - - "इस जॉब पोस्टिंग के कीवर्ड्स से मिलान करके मेरे रिज़्यूमे को ATS के लिए ऑप्टिमाइज़ करें।" - - "इस भूमिका के लिए ज़रूरी स्किल्स को उभारने के लिए मेरे रिज़्यूमे के बुलेट पॉइंट फिर से लिखें।" - - "मेरे रिज़्यूमे की तुलना इस जॉब डिस्क्रिप्शन से करें और सुधारने योग्य कमियों की सूची दें।" - - "मेरे रिज़्यूमे और इस जॉब डिस्क्रिप्शन से मेल खाता एक कवर लेटर लिखें।" - - **सर्च और चैट** - - - Chat With Your PDFs & Docs: अपनी सभी फ़ाइलों पर सवाल पूछें और इनलाइन उद्धरणों के साथ जवाब पाएं। - -

Chat With Your PDFs and Docs

- - - AI Search With Citations: अपने पूरे नॉलेज बेस में हाइब्रिड सेमांटिक और कीवर्ड सर्च। - -

AI Search With Citations

- - - Collaborative AI Chat: अपनी टीम के साथ रियल टाइम में AI बातचीत पर काम करें। - -

Collaborative AI Chat

- - - Comments & Mentions: किसी भी AI संदेश पर टिप्पणी करें और टीम के साथियों को टैग करें। - -

Comments and Mentions

- - **कनेक्टर्स और इंटीग्रेशन** - - - Connect & Sync Your Tools: Notion, Slack, Google Drive, Gmail, GitHub, Linear और 25+ स्रोतों को एक खोजने योग्य कॉर्पस में सिंक करें। - -

Connect and Sync Your Tools

- - - Chat With Uploaded Files: PDF, Office दस्तावेज़, इमेज और ऑडियो अपलोड करें। तुरंत खोजने योग्य। - -

Chat With Uploaded Files

- - - Connector Write-Back: एजेंट को परिणाम वापस Notion, Slack, Linear और Drive में पोस्ट करने दें। - इस तरह के प्रॉम्प्ट आज़माएं: - - - "इस रिसर्च सारांश को मेरे Notion वर्कस्पेस में पोस्ट करें।" - - "इन मीटिंग एक्शन आइटम्स को हमारे टीम Slack चैनल पर भेजें।" - - "इस बग रिपोर्ट से एक Jira टिकट बनाएं।" - - "इस फ़ीचर अनुरोध से Linear में एक इश्यू खोलें।" - - "इस जनरेट की गई रिपोर्ट को Google Drive में एक डॉक के रूप में सेव करें।" - - - Obsidian & Knowledge Base Sync: अपने Obsidian vault और व्यक्तिगत नॉलेज बेस को सिंक रखें। - - **ऑटोमेशन** - - - Scheduled AI Workflows: किसी एजेंट को शेड्यूल पर चलाएं: रोज़ाना ब्रीफ़, साप्ताहिक डाइजेस्ट, आवर्ती रिपोर्ट। - इस तरह के प्रॉम्प्ट आज़माएं: - - - "हर सुबह मेरे नॉलेज बेस में जुड़े नए दस्तावेज़ों का रोज़ाना ब्रीफ़ मुझे ईमेल करें।" - - "हर शुक्रवार मेरे Slack और Gmail से एक साप्ताहिक स्टेटस रिपोर्ट बनाएं।" - - "एक मासिक प्रतिस्पर्धी विश्लेषण रिपोर्ट चलाएं और उसे मेरे वर्कस्पेस में सेव करें।" - - "मेरी GitHub और Linear गतिविधि को एक रोज़ाना standup अपडेट में सारांशित करें।" - - "मैं जिन विषयों को ट्रैक करता हूं उन पर एक आवर्ती साप्ताहिक रिसर्च रिपोर्ट बनाएं।" - - - Event-Triggered Automations: जैसे ही कोई दस्तावेज़ किसी फ़ोल्डर में आता है, एजेंट को चलाएं और परिणाम अपने टूल में पोस्ट करें। - इस तरह के प्रॉम्प्ट आज़माएं: - - - "जब मेरे Research फ़ोल्डर में कोई PDF आए, तो उद्धरण सहित एक AI सारांश बनाएं।" - - "जब नई मीटिंग नोट्स जुड़ें, तो उन्हें एक्शन आइटम्स के साथ मीटिंग मिनट्स में बदलें।" - - "जब कोई इनवॉइस अपलोड हो, तो विक्रेता, कुल राशि और देय तिथि को एक तालिका में निकालें।" - - "जब मेरे Legal फ़ोल्डर में कोई अनुबंध आए, तो मुख्य शर्तों और नवीनीकरण तिथियों को चिह्नित करें।" - - "जब Candidates में कोई रिज़्यूमे जुड़े, तो उसे जॉब डिस्क्रिप्शन के विरुद्ध स्क्रीन करें।" - - - Chat-Built Automations: सरल भाषा में किसी ऑटोमेशन का वर्णन करें और SurfSense उसे आपके लिए बना देगा। - इस तरह के प्रॉम्प्ट आज़माएं: - - - "एक AI एजेंट बनाएं जो हर सुबह नई Notion पेजों का सारांश मुझे ईमेल करे।" - - "एक नो-कोड ऑटोमेशन बनाएं जो हर सप्ताह एक रिसर्च डाइजेस्ट Slack पर पोस्ट करे।" - - "एक AI नोट-टेकर सेट करें जो नई मीटिंग नोट्स को मिनट्स में बदल दे।" - - "एक वर्कफ़्लो बनाएं जो मीटिंग नोट्स से एक्शन आइटम्स निकाले और ज़िम्मेदार सौंपे।" - - "मेरे Gmail और Google Drive से एक रोज़ाना ईमेल ब्रीफ़ को ऑटोमेट करें।" - - -### सेल्फ-होस्टेड - -पूर्ण डेटा नियंत्रण और गोपनीयता के लिए SurfSense को अपने स्वयं के बुनियादी ढांचे पर चलाएं। - -**आवश्यकताएँ:** [Docker Desktop](https://www.docker.com/products/docker-desktop/) इंस्टॉल और चालू होना चाहिए। - -#### Linux/MacOS उपयोगकर्ताओं के लिए: +Linux/macOS के लिए: ```bash curl -fsSL https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.sh | bash ``` -#### Windows उपयोगकर्ताओं के लिए: +Windows के लिए: -```powershell +```bash irm https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.ps1 | iex ``` -इंस्टॉल स्क्रिप्ट दैनिक ऑटो-अपडेट के लिए स्वचालित रूप से [Watchtower](https://github.com/nicholas-fedor/watchtower) सेटअप करती है। इसे छोड़ने के लिए, `--no-watchtower` फ्लैग जोड़ें। +इंस्टॉल स्क्रिप्ट दैनिक ऑटो-अपडेट के लिए [Watchtower](https://github.com/nicholas-fedor/watchtower) अपने आप सेट कर देती है। इसे छोड़ने के लिए `--no-watchtower` फ़्लैग जोड़ें। Docker Compose, मैनुअल इंस्टॉलेशन और अन्य डिप्लॉयमेंट विकल्पों के लिए [docs](https://www.surfsense.com/docs/) देखें। -Docker Compose, मैनुअल इंस्टॉलेशन और अन्य डिप्लॉयमेंट विकल्पों के लिए, [डॉक्स](https://www.surfsense.com/docs/) देखें। +## बॉक्स में बाकी सब कुछ -### डेस्कटॉप ऐप +जिस रिसर्च वर्कस्पेस ने SurfSense को अग्रणी ओपन सोर्स NotebookLM विकल्प बनाया, वह अब भी यहीं है, और आपके एजेंट जो कुछ भी इकट्ठा करते हैं वह सब इसी में पहुंचता है। -SurfSense एक डेस्कटॉप ऐप भी प्रदान करता है जो आपके कंप्यूटर पर हर एप्लिकेशन में AI सहायता लाता है। इसे [नवीनतम रिलीज़](https://github.com/MODSetter/SurfSense/releases/latest) से डाउनलोड करें। +**नॉलेज बेस** -डेस्कटॉप ऐप में ये शक्तिशाली सुविधाएं शामिल हैं: +- PDF, Office दस्तावेज़, इमेज और ऑडियो अपलोड करें, या **Google Drive, OneDrive और Dropbox** सिंक करें। 50+ फ़ाइल फ़ॉर्मैट समर्थित हैं। +- हाइब्रिड सिमेंटिक और फ़ुल-टेक्स्ट सर्च, Perplexity-शैली के साइटेड जवाबों के साथ। +- AI फ़ाइल सॉर्टिंग दस्तावेज़ों को स्रोत, तारीख़ और विषय के अनुसार अपने आप व्यवस्थित करती है। -- **General Assist** — एक ग्लोबल शॉर्टकट से किसी भी एप्लिकेशन से तुरंत SurfSense लॉन्च करें। -- **Quick Assist** — कहीं भी टेक्स्ट चुनें, फिर AI से समझाने, फिर से लिखने या उस पर कार्रवाई करने को कहें। -- **Screenshot Assist** — स्क्रीन पर एक क्षेत्र चुनें और उसे चैट में जोड़ें, ताकि उत्तर आपकी नॉलेज बेस पर आधारित रहें। -- **Watch Local Folder** — एक लोकल फ़ोल्डर को वॉच करें और फ़ाइल परिवर्तनों को स्वचालित रूप से अपनी नॉलेज बेस में सिंक करें। **Pro tip:** इसे अपने Obsidian vault पर पॉइंट करें ताकि आपके नोट्स SurfSense में सर्च करने योग्य रहें। +

अपनी PDF और दस्तावेज़ों से चैट करें

-सभी सुविधाएं आपके चुने हुए सर्च स्पेस पर काम करती हैं, ताकि आपके उत्तर हमेशा आपके अपने डेटा पर आधारित हों। +**डिलीवरेबल स्टूडियो** -### रीयल-टाइम सहयोग कैसे करें (बीटा) +- AI रिपोर्ट जनरेटर, PDF, DOCX, HTML, LaTeX, EPUB, ODT या सादे टेक्स्ट में एक्सपोर्ट के साथ। +- किसी भी दस्तावेज़ या फ़ोल्डर से 20 सेकंड से कम में दो-होस्ट वाले AI पॉडकास्ट। +- संपादन योग्य स्लाइड डेक, नैरेटेड वीडियो ओवरव्यू और AI इमेज जनरेशन। -1. सदस्य प्रबंधन पेज पर जाएं और एक आमंत्रण बनाएं। +

AI रिपोर्ट जनरेटर

+ +**टीम सहयोग** + +- कमेंट और मेंशन के साथ रीयल-टाइम सहयोगी AI चैट। +- Owner, Admin, Editor और Viewer भूमिकाओं के साथ RBAC। + +

सहयोगी AI चैट

+ +**डेस्कटॉप ऐप** + +आपके कंप्यूटर के हर एप्लिकेशन में नेटिव AI सहायता। [latest release](https://github.com/MODSetter/SurfSense/releases/latest) से डाउनलोड करें। + +- **General Assist**: ग्लोबल शॉर्टकट से किसी भी ऐप से SurfSense लॉन्च करें। +- **Quick Assist**: कहीं भी टेक्स्ट चुनें, फिर AI से उसे समझाने, फिर से लिखने या उस पर कार्रवाई करने को कहें। +- **Screenshot Assist**: अपनी स्क्रीन का कोई भी हिस्सा कैप्चर करें और AI से उसके बारे में पूछें। +- **Watch Local Folder**: किसी लोकल फ़ोल्डर को अपने नॉलेज बेस से ऑटो-सिंक करें। इसे अपने Obsidian वॉल्ट पर पॉइंट करें ताकि आपके नोट्स खोजने योग्य बने रहें। + +

Quick Assist

+ +**कोई वेंडर लॉक-इन नहीं** + +- OpenAI स्पेक और LiteLLM के ज़रिए 100+ LLM, जिनमें GPT-5.5, Claude Sonnet 5 और Gemini 3.1 Pro शामिल हैं। +- 6,000+ एम्बेडिंग मॉडल और सभी प्रमुख रीरैंकर। +- पूर्ण लोकल और प्राइवेट LLM समर्थन (vLLM, Ollama), ताकि आपका डेटा आपका ही रहे। + +## वीडियो एजेंट नमूना + +https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a + +## पॉडकास्ट एजेंट नमूना + +https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 + +## रीयल टाइम में सहयोग कैसे करें (बीटा) + +1. Manage Members पेज पर जाएं और एक इनवाइट बनाएं।

सदस्यों को आमंत्रित करें

-2. टीममेट जुड़ता है और वह SearchSpace साझा हो जाता है। +2. कोई साथी जुड़ता है और वह वर्कस्पेस साझा हो जाता है। -

आमंत्रण स्वीकार प्रवाह

+

इनवाइट जॉइन फ़्लो

-3. चैट को साझा करें। +3. किसी चैट को साझा करें और उसमें रीयल टाइम में साथ काम करें, साथियों को टैग करने के लिए कमेंट के साथ। -

चैट साझा करें

+

रीयलटाइम कमेंट

-4. आपकी टीम अब रीयल-टाइम में चैट कर सकती है। +## SurfSense बनाम Google NotebookLM -

रीयल-टाइम चैट

+अब भी हमें NotebookLM विकल्प के तौर पर तौल रहे हैं? यह रहा ईमानदार तुलनात्मक ब्यौरा। -5. टीममेट्स को टैग करने के लिए कमेंट जोड़ें। - -

रीयल-टाइम कमेंट्स

- -## SurfSense vs Google NotebookLM - -| विशेषता | Google NotebookLM | SurfSense | +| फ़ीचर | Google NotebookLM | SurfSense | |---------|-------------------|-----------| -| **प्रति Notebook स्रोत** | 50 (मुफ़्त) से 600 (Ultra, $249.99/माह) | असीमित | -| **Notebooks की संख्या** | 100 (मुफ़्त) से 500 (सशुल्क योजनाएं) | असीमित | +| **एजेंट्स के लिए लाइव मार्केट डेटा** | नहीं | REST API और MCP के ज़रिए Reddit, YouTube, Google Maps, Google Search और वेब क्रॉल कनेक्टर | +| **MCP सर्वर** | नहीं | हर कनेक्टर नेटिव एजेंट टूल के रूप में उपलब्ध, साथ ही वन-क्लिक OAuth ऐप्स के साथ अपने MCP सर्वर लाने की सुविधा | +| **प्रति नोटबुक स्रोत** | 50 (Free) से 600 (Ultra, $249.99/माह) | असीमित | +| **नोटबुक की संख्या** | 100 (Free) से 500 (सशुल्क टियर) | असीमित | | **स्रोत आकार सीमा** | 500,000 शब्द / 200MB प्रति स्रोत | कोई सीमा नहीं | -| **मूल्य निर्धारण** | मुफ़्त स्तर उपलब्ध; Pro $19.99/माह, Ultra $249.99/माह | मुफ़्त और ओपन सोर्स, अपनी इंफ्रा पर सेल्फ-होस्ट करें | -| **LLM सपोर्ट** | केवल Google Gemini | 100+ LLMs OpenAI spec और LiteLLM के माध्यम से | -| **एम्बेडिंग मॉडल** | केवल Google | 6,000+ एम्बेडिंग मॉडल, सभी प्रमुख रीरैंकर्स | -| **लोकल / प्राइवेट LLMs** | उपलब्ध नहीं | पूर्ण सपोर्ट (vLLM, Ollama) - आपका डेटा आपका रहता है | -| **सेल्फ-होस्ट करने योग्य** | नहीं | हाँ - Docker एक कमांड या पूर्ण Docker Compose | -| **ओपन सोर्स** | नहीं | हाँ | -| **बाहरी कनेक्टर्स** | Google Drive, YouTube, वेबसाइटें | 27+ कनेक्टर्स - सर्च इंजन, Google Drive, OneDrive, Dropbox, Slack, Teams, Jira, Notion, GitHub, Discord और [अधिक](#बाहरी-स्रोत) | -| **फ़ाइल फ़ॉर्मेट सपोर्ट** | PDFs, Docs, Slides, Sheets, CSV, Word, EPUB, इमेज, वेब URLs, YouTube | 50+ फ़ॉर्मेट - दस्तावेज़, इमेज, वीडियो LlamaCloud, Unstructured या Docling (लोकल) के माध्यम से | -| **सर्च** | सिमैंटिक सर्च | हाइब्रिड सर्च - हायरार्किकल इंडाइसेस और Reciprocal Rank Fusion के साथ सिमैंटिक + फुल टेक्स्ट | -| **उद्धृत उत्तर** | हाँ | हाँ - Perplexity शैली के उद्धृत उत्तर | -| **एजेंट आर्किटेक्चर** | नहीं | हाँ - [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) द्वारा संचालित, योजना, सब-एजेंट और फ़ाइल सिस्टम एक्सेस | -| **रीयल-टाइम मल्टीप्लेयर** | दर्शक/संपादक भूमिकाओं के साथ साझा notebooks (कोई रीयल-टाइम चैट नहीं) | मालिक / एडमिन / संपादक / दर्शक भूमिकाओं के साथ RBAC, रीयल-टाइम चैट और कमेंट थ्रेड | -| **वीडियो जनरेशन** | Veo 3 के माध्यम से सिनेमैटिक वीडियो ओवरव्यू (केवल Ultra) | उपलब्ध (NotebookLM यहाँ बेहतर है, सक्रिय रूप से सुधार हो रहा है) | -| **प्रेजेंटेशन जनरेशन** | बेहतर दिखने वाली स्लाइड्स लेकिन संपादन योग्य नहीं | संपादन योग्य, स्लाइड आधारित प्रेजेंटेशन बनाएं | -| **पॉडकास्ट जनरेशन** | कस्टमाइज़ेबल होस्ट और भाषाओं के साथ ऑडियो ओवरव्यू | कई TTS प्रदाताओं के साथ उपलब्ध (NotebookLM यहाँ बेहतर है, सक्रिय रूप से सुधार हो रहा है) | -| **AI ऑटोमेशन और एजेंट** | नहीं | शेड्यूल किए गए AI वर्कफ़्लो, नए दस्तावेज़ों पर इवेंट ट्रिगर, और चैट से बने बिना-कोड ऑटोमेशन, Notion, Slack, Linear और Jira में कनेक्टर राइट-बैक के साथ | +| **मूल्य निर्धारण** | Free टियर; Pro $19.99/माह, Ultra $249.99/माह | सेल्फ-होस्ट के लिए मुफ़्त और ओपन सोर्स; क्लाउड पे-एज़-यू-गो है, $5 मुफ़्त क्रेडिट के साथ | +| **LLM समर्थन** | केवल Google Gemini | OpenAI स्पेक और LiteLLM के ज़रिए 100+ LLM | +| **एम्बेडिंग मॉडल** | केवल Google | 6,000+ एम्बेडिंग मॉडल, सभी प्रमुख रीरैंकर | +| **लोकल / प्राइवेट LLM** | उपलब्ध नहीं | पूर्ण समर्थन (vLLM, Ollama), आपका डेटा आपका ही रहता है | +| **सेल्फ-होस्ट करने योग्य** | नहीं | हां, Docker वन-लाइनर या पूर्ण Docker Compose | +| **ओपन सोर्स** | नहीं | हां | +| **नॉलेज बेस स्रोत** | Google Drive, YouTube, वेबसाइट | फ़ाइल अपलोड, Google Drive, OneDrive, Dropbox, लोकल फ़ोल्डर सिंक और क्रॉल किए गए पेज | +| **फ़ाइल फ़ॉर्मैट समर्थन** | PDF, Docs, Slides, Sheets, CSV, Word, EPUB, इमेज, वेब URL, YouTube | 50+ फ़ॉर्मैट: LlamaCloud, Unstructured या Docling (लोकल) के ज़रिए दस्तावेज़, इमेज, वीडियो | +| **सर्च** | सिमेंटिक सर्च | हाइरार्किकल इंडेक्स और रेसिप्रोकल रैंक फ़्यूज़न के साथ हाइब्रिड सिमेंटिक + फ़ुल-टेक्स्ट | +| **साइटेड जवाब** | हां | हां, Perplexity-शैली के साइटेड जवाब | +| **एजेंटिक आर्किटेक्चर** | नहीं | हां, [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) द्वारा संचालित, प्लानिंग, सबएजेंट और फ़ाइल सिस्टम एक्सेस के साथ | +| **AI ऑटोमेशन और एजेंट** | नहीं | शेड्यूल्ड वर्कफ़्लो, इवेंट ट्रिगर और चैट से बने नो-कोड ऑटोमेशन, Notion, Slack, Linear और Jira में राइट-बैक के साथ | +| **रीयल-टाइम मल्टीप्लेयर** | Viewer/Editor भूमिकाओं के साथ साझा नोटबुक (रीयल-टाइम चैट नहीं) | Owner / Admin / Editor / Viewer भूमिकाओं के साथ RBAC, रीयल-टाइम चैट और कमेंट थ्रेड | +| **वीडियो जनरेशन** | Veo 3 के ज़रिए सिनेमैटिक वीडियो ओवरव्यू (केवल Ultra) | उपलब्ध (यहां NotebookLM बेहतर है, सक्रिय रूप से सुधार जारी) | +| **प्रेज़ेंटेशन जनरेशन** | दिखने में बेहतर स्लाइड, लेकिन संपादन योग्य नहीं | संपादन योग्य, स्लाइड-आधारित प्रेज़ेंटेशन | +| **पॉडकास्ट जनरेशन** | कस्टमाइज़ करने योग्य होस्ट और भाषाओं के साथ ऑडियो ओवरव्यू | कई TTS प्रोवाइडर के साथ उपलब्ध (यहां NotebookLM बेहतर है, सक्रिय रूप से सुधार जारी) | | **डेस्कटॉप ऐप** | नहीं | General Assist, Quick Assist, Screenshot Assist और लोकल फ़ोल्डर सिंक के साथ नेटिव ऐप | -| **ब्राउज़र एक्सटेंशन** | नहीं | किसी भी वेबपेज को सहेजने के लिए क्रॉस-ब्राउज़र एक्सटेंशन, प्रमाणीकरण सुरक्षित पेज सहित | - -
-बाहरी स्रोतों की पूरी सूची - - -सर्च इंजन (SearXNG, Tavily, LinkUp, Baidu Search) · Google Drive · OneDrive · Dropbox · Slack · Microsoft Teams · Linear · Jira · ClickUp · Confluence · BookStack · Notion · Gmail · YouTube वीडियो · GitHub · Discord · Airtable · Google Calendar · Luma · Circleback · Elasticsearch · Obsidian, और भी बहुत कुछ आने वाला है। - -
- ## फ़ीचर अनुरोध और भविष्य +**SurfSense सक्रिय रूप से विकसित किया जा रहा है।** हालांकि यह अभी प्रोडक्शन-रेडी नहीं है, आप इस प्रक्रिया को तेज़ करने में हमारी मदद कर सकते हैं। -**SurfSense सक्रिय रूप से विकसित किया जा रहा है।** हालांकि यह अभी प्रोडक्शन-रेडी नहीं है, आप प्रक्रिया को तेज़ करने में हमारी मदद कर सकते हैं। - -[SurfSense Discord](https://discord.gg/ejRNvftDp9) में शामिल हों और SurfSense के भविष्य को आकार देने में मदद करें! +[SurfSense Discord](https://discord.gg/ejRNvftDp9) से जुड़ें और SurfSense का भविष्य गढ़ने में मदद करें! ## रोडमैप -हमारे विकास की प्रगति और आने वाली सुविधाओं से अपडेट रहें! -हमारा सार्वजनिक रोडमैप देखें और अपने विचार या फ़ीडबैक दें: +हमारी विकास प्रगति और आने वाले फ़ीचर्स से अपडेट रहें। हमारा सार्वजनिक रोडमैप देखें और अपने विचार या फ़ीडबैक साझा करें: **रोडमैप चर्चा:** [SurfSense 2026 Roadmap](https://github.com/MODSetter/SurfSense/discussions/565) -**कानबन बोर्ड:** [SurfSense Project Board](https://github.com/users/MODSetter/projects/3) - +**कानबान बोर्ड:** [SurfSense Project Board](https://github.com/users/MODSetter/projects/3) ## योगदान करें -सभी योगदान स्वागत योग्य हैं, स्टार और बग रिपोर्ट से लेकर बैकएंड सुधार तक। शुरू करने के लिए [CONTRIBUTING.md](CONTRIBUTING.md) देखें। +हर तरह का योगदान स्वागत योग्य है, स्टार और बग रिपोर्ट से लेकर बैकएंड सुधार तक। शुरू करने के लिए [CONTRIBUTING.md](CONTRIBUTING.md) देखें। -हमारे सभी Surfers को धन्यवाद: +हमारे सभी Surfers का धन्यवाद: -## Star इतिहास +## स्टार हिस्ट्री diff --git a/README.md b/README.md index a75122892..a05548d66 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -readme_banner +SurfSense, the open-source competitive intelligence platform for AI agents @@ -20,273 +20,253 @@ MODSetter%2FSurfSense | Trendshift -# SurfSense +# SurfSense: Give Your AI Agents Competitive Intelligence -NotebookLM is one of the best and most useful AI platforms out there, but once you start using it regularly you also feel its limitations leaving something to be desired more. +SurfSense is the **open-source competitive intelligence platform for AI agents**. Your agents monitor competitors, track rankings, and listen to your market with live data from **Reddit, YouTube, Google Maps, Google Search, and the open web**, through one **REST API** or **MCP server**. Scheduled and event-triggered agents turn what they find into briefs and alerts, and a built-in knowledge base keeps every finding searchable with citations. -1. There are limits on the amount of sources you can add in a notebook. -2. There are limits on the number of notebooks you can have. -3. You cannot have sources that exceed 500,000 words and are more than 200MB. -4. You are vendor locked in to Google services (LLMs, usage models, etc.) with no option to configure them. -5. Limited external data sources and service integrations. -6. NotebookLM Agent is specifically optimised for just studying and researching, but you can do so much more with the source data. -7. Lack of multiplayer support. +> [!NOTE] +> **📢 A note for our NotebookLM-alternative users** +> +> For the past couple of months we built SurfSense as the best general research agent for your own knowledge, and that chapter earned us a community we are genuinely proud of. Agentic tools like Claude, OpenCode, Hermes, and OpenClaw have now proven that agents are the future, and general research is becoming something every capable agent does out of the box. What agents still lack is **live market data and the workflows around it**, so that is where we are pointing all of our energy: becoming the definitive open-source competitive intelligence agent platform. +> +> **Nothing you rely on is going away.** Your knowledge base, chat with citations, reports, podcasts, presentations, automations, and collaborative chats all keep working, and self-hosting stays free and open source. Read the full announcement on [our changelog](https://www.surfsense.com/changelog). -...and more. +## Table of contents -**SurfSense is specifically made to solve these problems.** SurfSense empowers you to: +- [Why agents need SurfSense](#why-agents-need-surfsense) +- [What can you do with SurfSense?](#what-can-you-do-with-surfsense) +- [Live data connectors](#live-data-connectors) +- [Quick start](#quick-start) +- [Everything else in the box](#everything-else-in-the-box) +- [SurfSense vs Google NotebookLM](#surfsense-vs-google-notebooklm) +- [Roadmap](#roadmap) +- [Contribute](#contribute) -- **Control Your Data Flow** - Keep your data private and secure. -- **No Data Limits** - Add an unlimited amount of sources and notebooks. -- **No Vendor Lock-in** - Configure any LLM, image, TTS, and STT models to use. -- **25+ External Data Sources** - Add your sources from Google Drive, OneDrive, Dropbox, Notion, and many other external services. -- **Real-Time Multiplayer Support** - Work easily with your team members in a shared notebook. -- **AI File Sorting** - Automatically organize your documents into a smart folder hierarchy using AI-powered categorization by source, date, and topic. -- **AI Automations & Agents** - Run AI agents on a schedule or trigger them the moment a document lands in a folder, then write results back to Notion, Slack, Linear, and Drive. Build no-code automations just by describing them in chat. -- **Desktop App** - Get AI assistance in any application with Quick Assist, General Assist, Screenshot Assist, and local folder sync. +## Why agents need SurfSense -...and more to come. +Ask any capable agent "what are competitors charging this week?" or "what is Reddit saying about us since the launch?" and it has nowhere trustworthy to look. Official platform APIs are rate-limited, priced for enterprises, or missing entirely, and scraping plumbing is brittle. SurfSense closes that gap: +- **Platform-native connectors**, each a typed REST endpoint returning structured JSON. No rate-limit roulette, no HTML parsing. +- **An MCP server** that exposes every connector as a native tool (`surfsense_reddit_scrape`, `surfsense_google_search`, and more) to Claude, Cursor, or any agent framework. +- **An agent harness**, not just raw data: retries, structured output, and credit metering are built in, so agents go from a question to a brief without you building the plumbing. +- **Open source and self-hostable**, so your competitive research stays on your own infrastructure. +## What can you do with SurfSense? -## Video Agent Sample +Every use case below is a real task the SurfSense agent runs end-to-end today, in one prompt or on a schedule. -https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a +### Multi-connector workflows +Chain several connectors in a single agent run and get one cited brief back. +- **Launch impact, across every platform** — "Our competitor launched v2 yesterday. Measure the reaction across search, Reddit, and YouTube." The agent scrapes SERPs, Reddit threads, and YouTube comments, then merges all three signals into one launch-impact brief. +- **Local competitor teardown** — Google Maps finds the players, the web crawler reads their pricing pages, and Google Search shows who wins the query, in one run. +- **Competitor 360, on a schedule** — an automation chains four connectors every week: site changes, rank movements, Reddit sentiment, and YouTube reaction. -## Podcast Agent Sample +### Competitor monitoring -https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 +- **Pricing watch** — extract every plan, price, and limit from competitors' pricing pages into one table, then re-check daily and alert on any change. +- **Product & changelog tracking** — crawl rivals' changelog, product, and careers pages every Monday and get a brief on what they shipped. +- **Rank & ad monitoring** — track the Google rankings, paid ads, and AI Overview citations your market actually sees, and flag movements day over day. +### B2B lead generation -## How to Use SurfSense +- **Local business leads** — turn a category and a territory ("burger places in San Jose") into a lead list with phones, websites, ratings, and decision-maker contacts pulled from their sites. +- **Team rosters & contacts** — spider any company site and pull the full team with emails, socials, and source provenance, exported to CSV. +- **Portfolio & market mapping** — map an investor's portfolio or a whole category, then enrich every company with pricing and contacts. -### Cloud +### Brand & market listening -1. Go to [surfsense.com](https://www.surfsense.com) and login. +- **Reddit brand monitoring** — hear what your market says about you, your competitors, and your category in the threads where buyers speak candidly. +- **YouTube audience sentiment** — pull videos, transcripts, and comments at scale, then cluster what audiences praise and complain about. +- **Switcher & intent mining** — find the people actively asking for an alternative to a competitor, ranked by how ready they are to move. -

Login

+### Market research -2. Connect your connectors and sync. Enable periodic syncing to keep connectors synced. +- **Deep research on the live web** — the agent crawls dozens of live sources on a question and synthesizes a cited answer, not a stale index. +- **AI Overview & GEO tracking** — capture when Google's AI Overviews answer your market's queries, and exactly which sources they cite. +- **Cited briefs & alerts** — everything the agents gather lands in your workspace as briefs and alerts with sources you can check. -

Connectors

+### Automate any of it, no code -3. Till connectors data index, upload Documents. +Automations run full agent turns on a schedule or in response to events, then write results back to Notion, Slack, Linear, and Jira. Describe the workflow in plain English and SurfSense builds it. Try prompts like: -

Upload Documents

+- "Watch our top 3 competitors' pricing pages and alert me in Slack when a plan or price changes." +- "Track every mention of our brand on Reddit and YouTube and send me a daily digest." +- "Monitor our Google ranking for our top 10 keywords and flag drops week over week." +- "Pull new Google Maps reviews for our locations and our competitors' every Monday." +- "Run a monthly competitor analysis report and save it to my workspace." -4. Once everything is indexed, Ask Away (Use Cases): +## Live data connectors - **Desktop App** (native extras on top of everything below, not a separate feature set) +| Connector | What your agents get | Learn more | +|---|---|---| +| **Reddit** | Posts, comments, and subreddit streams without the official API's rate limits | [Reddit Scraper API](https://www.surfsense.com/reddit) | +| **YouTube** | Videos, transcripts, and comment threads for brand and product listening | [YouTube Scraper API](https://www.surfsense.com/youtube) | +| **Google Maps** | Places, ratings, and reviews for local competitor and lead research | [Google Maps Scraper API](https://www.surfsense.com/google-maps) | +| **Google Search** | Live SERPs for rank tracking and market monitoring | [Google Search API](https://www.surfsense.com/google-search) | +| **Web Crawl** | Any page on the open web as clean, structured content | [Web Crawling API](https://www.surfsense.com/web-crawl) | +| **External MCP Connectors** | Bring any MCP server to your agents, with one-click OAuth for Notion, Slack, Jira, and more | [External MCP Connectors](https://www.surfsense.com/external-mcp-connectors) | - - General Assist: launch SurfSense instantly from any application with a global shortcut. +Billing is pay as you go: connectors bill per item actually returned, crawls per page successfully fetched, and failed calls are never billed. Self-hosted installs run with billing off. See [pricing](https://www.surfsense.com/pricing). -

General Assist

+## Quick start - - Quick Assist: select text anywhere, then ask AI to explain, rewrite, or act on it. +### Call a connector from code -

Quick Assist

+Every connector is a REST endpoint you can call from any language with your SurfSense API key: - - Screenshot Assist: capture any region of your screen and ask AI about what's in it. +```bash +curl -X POST "$SURFSENSE_API_URL/workspaces/$WORKSPACE_ID/scrapers/reddit/scrape" \ + -H "Authorization: Bearer $SURFSENSE_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "search_queries": ["your brand"], + "community": "webscraping", + "sort": "top", + "time_filter": "week" + }' +``` -

Screenshot Assist

+Each [connector page](https://www.surfsense.com/connectors) has copy-paste examples in Python, JavaScript, Go, PHP, Ruby, Java, and C#. - - Watch Local Folder: auto-sync a local folder to your knowledge base. Great for Obsidian vaults. +### Give the tools to your agents over MCP -

Watch Local Folder

+Add the SurfSense MCP server to Claude, Cursor, or your own agent framework: - **Deliverable Studio** +```json +{ + "mcpServers": { + "surfsense": { + "url": "https://mcp.surfsense.com", + "headers": { "Authorization": "Bearer ${SURFSENSE_API_KEY}" } + } + } +} +``` - - AI Report Generator: generate cited research reports and export to PDF, DOCX, HTML, LaTeX, EPUB, ODT, or plain text. +Your agent can now call every connector as a native tool. See the [SurfSense MCP server](https://www.surfsense.com/mcp-server) page for the full tool list, or run the server locally from [`surfsense_mcp`](./surfsense_mcp). -

AI Report Generator

+### Use the cloud - - AI Podcast Generator: turn any document or folder into a two-host AI podcast in under 20 seconds. +Go to [surfsense.com](https://www.surfsense.com), log in, and ask the agent for live market data in plain English. New accounts start with $5 of free credit and no subscription. -

AI Podcast Generator

+### Self-host for free - - AI Presentation & Video Maker: create editable slide decks and narrated video overviews from your sources. - -

AI Presentation and Video Maker

- - - AI Image Generator: generate high-quality images straight from your chats and documents. - -

AI Image Generator

- - - AI Resume Builder: tailor your existing resume to any job description and beat the ATS. - Try prompts like these: - - - "Tailor my resume to this job description so it gets past ATS and lands an interview." - - "Optimize my resume for ATS by matching the keywords in this job posting." - - "Rewrite my resume bullet points to highlight the skills this role is asking for." - - "Compare my resume against this job description and list the gaps to fix." - - "Write a matching cover letter from my resume and this job description." - - **Search & Chat** - - - Chat With Your PDFs & Docs: ask questions across all your files and get answers with inline citations. - -

Chat With Your PDFs and Docs

- - - AI Search With Citations: hybrid semantic and keyword search across your entire knowledge base. - -

AI Search With Citations

- - - Collaborative AI Chat: work on AI conversations with your team in real time. - -

Collaborative AI Chat

- - - Comments & Mentions: comment and tag teammates on any AI message. - -

Comments and Mentions

- - **Connectors & Integrations** - - - Connect & Sync Your Tools: sync Notion, Slack, Google Drive, Gmail, GitHub, Linear and 25+ sources into one searchable corpus. - -

Connect and Sync Your Tools

- - - Chat With Uploaded Files: drop in PDFs, Office docs, images and audio. Instantly searchable. - -

Chat With Uploaded Files

- - - Connector Write-Back: let the agent post results back to Notion, Slack, Linear and Drive. - Try prompts like these: - - - "Post this research summary to my Notion workspace." - - "Send these meeting action items to our team Slack channel." - - "Create a Jira ticket from this bug report." - - "Open a Linear issue from this feature request." - - "Save this generated report to Google Drive as a doc." - - - Obsidian & Knowledge Base Sync: keep your Obsidian vault and personal knowledge base in sync. - - **Automations** - - - Scheduled AI Workflows: run an agent on a schedule: daily briefs, weekly digests, recurring reports. - Try prompts like these: - - - "Email me a daily brief of new documents in my knowledge base every morning." - - "Generate a weekly status report from my Slack and Gmail every Friday." - - "Run a monthly competitor analysis report and save it to my workspace." - - "Summarize my GitHub and Linear activity into a daily standup update." - - "Create a recurring weekly research report on the topics I track." - - - Event-Triggered Automations: fire an agent the moment a document lands in a folder, then post the result to your tools. - Try prompts like these: - - - "When a PDF lands in my Research folder, generate a cited AI summary." - - "When new meeting notes are added, turn them into meeting minutes with action items." - - "When an invoice is uploaded, extract the vendor, total, and due date into a table." - - "When a contract enters my Legal folder, flag key terms and renewal dates." - - "When a resume is added to Candidates, screen it against the job description." - - - Chat-Built Automations: describe an automation in plain English and SurfSense builds it for you. - Try prompts like these: - - - "Build an AI agent that emails me a summary of new Notion pages each morning." - - "Create a no-code automation that posts a weekly research digest to Slack." - - "Set up an AI note taker that turns new meeting notes into minutes." - - "Make a workflow that extracts action items from meeting notes and assigns owners." - - "Automate a daily email brief from my Gmail and Google Drive." - - -### Self Hosted - -Run SurfSense on your own infrastructure for full data control and privacy. +Run the entire platform, connectors, agents, automations, and the MCP server on your own infrastructure. Self-hosted installs ship with billing off, so scraping, crawling, and agent runs are limited only by your hardware and the model keys you bring. **Prerequisites:** [Docker Desktop](https://www.docker.com/products/docker-desktop/) must be installed and running. -#### For Linux/MacOS users: +For Linux/macOS: ```bash curl -fsSL https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.sh | bash ``` -#### For Windows users: +For Windows: ```bash irm https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.ps1 | iex ``` -The install script sets up [Watchtower](https://github.com/nicholas-fedor/watchtower) automatically for daily auto-updates. To skip it, add the `--no-watchtower` flag. +The install script sets up [Watchtower](https://github.com/nicholas-fedor/watchtower) automatically for daily auto-updates. To skip it, add the `--no-watchtower` flag. For Docker Compose, manual installation, and other deployment options, see the [docs](https://www.surfsense.com/docs/). -For Docker Compose, manual installation, and other deployment options, see the [docs](https://www.surfsense.com/docs/). +## Everything else in the box -### Desktop App +The research workspace that made SurfSense the leading open-source NotebookLM alternative is still here, and everything your agents gather lands in it. -SurfSense also ships a desktop app that brings AI assistance to every application on your computer. Download it from the [latest release](https://github.com/MODSetter/SurfSense/releases/latest). +**Knowledge base** -The desktop app includes these powerful features: +- Upload PDFs, Office docs, images, and audio, or sync **Google Drive, OneDrive, and Dropbox**. 50+ file formats supported. +- Hybrid semantic and full-text search with cited, Perplexity-style answers. +- AI file sorting auto-organizes documents by source, date, and topic. -- **General Assist** — Launch SurfSense instantly from any application with a global shortcut. -- **Quick Assist** — Select text anywhere, then ask AI to explain, rewrite, or act on it. -- **Screenshot Assist** — Select a region on your screen and attach it to chat so answers stay grounded in your knowledge base. -- **Watch Local Folder** — Watch a local folder and automatically sync file changes to your knowledge base. **Pro tip:** Point it at your Obsidian vault to keep your notes searchable in SurfSense. +

Chat With Your PDFs and Docs

-All features operate against your chosen search space, so your answers are always grounded in your own data. +**Deliverable studio** -### How to Realtime Collaborate (Beta) +- AI report generator with export to PDF, DOCX, HTML, LaTeX, EPUB, ODT, or plain text. +- Two-host AI podcasts from any document or folder in under 20 seconds. +- Editable slide decks, narrated video overviews, and AI image generation. -1. Go to Manage Members page and create an invite. +

AI Report Generator

+ +**Team collaboration** + +- Real-time collaborative AI chats with comments and mentions. +- RBAC with Owner, Admin, Editor, and Viewer roles. + +

Collaborative AI Chat

+ +**Desktop app** + +Native AI assistance in every application on your computer. Download from the [latest release](https://github.com/MODSetter/SurfSense/releases/latest). + +- **General Assist**: launch SurfSense from any app with a global shortcut. +- **Quick Assist**: select text anywhere, then ask AI to explain, rewrite, or act on it. +- **Screenshot Assist**: capture any region of your screen and ask AI about it. +- **Watch Local Folder**: auto-sync a local folder to your knowledge base. Point it at your Obsidian vault to keep your notes searchable. + +

Quick Assist

+ +**No vendor lock-in** + +- 100+ LLMs via the OpenAI spec and LiteLLM, including GPT-5.5, Claude Sonnet 5, and Gemini 3.1 Pro. +- 6,000+ embedding models and all major rerankers. +- Full local and private LLM support (vLLM, Ollama), so your data stays yours. + +## Video Agent Sample + +https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a + +## Podcast Agent Sample + +https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 + +## How to collaborate in real time (Beta) + +1. Go to the Manage Members page and create an invite.

Invite Members

-2. Teammate joins and that SearchSpace becomes shared. +2. A teammate joins and that workspace becomes shared.

Invite Join Flow

-3. Make chat shared. - -

Make Chat Shared

- -4. Your team can now chat in realtime. - -

Realtime Chat

- -5. Add comment to tag teammates. +3. Make a chat shared and work in it together in real time, with comments to tag teammates.

Realtime Comments

## SurfSense vs Google NotebookLM +Still comparing us as a NotebookLM alternative? Here is the honest breakdown. + | Feature | Google NotebookLM | SurfSense | |---------|-------------------|-----------| +| **Live market data for agents** | No | Reddit, YouTube, Google Maps, Google Search, and web crawl connectors via REST API and MCP | +| **MCP server** | No | Every connector exposed as a native agent tool, plus bring-your-own MCP servers with one-click OAuth apps | | **Sources per Notebook** | 50 (Free) to 600 (Ultra, $249.99/mo) | Unlimited | | **Number of Notebooks** | 100 (Free) to 500 (paid tiers) | Unlimited | | **Source Size Limit** | 500,000 words / 200MB per source | No limit | -| **Pricing** | Free tier available; Pro $19.99/mo, Ultra $249.99/mo | Free and open source, self-host on your own infra | +| **Pricing** | Free tier; Pro $19.99/mo, Ultra $249.99/mo | Free and open source to self-host; cloud is pay as you go with $5 free credit | | **LLM Support** | Google Gemini only | 100+ LLMs via OpenAI spec & LiteLLM | | **Embedding Models** | Google only | 6,000+ embedding models, all major rerankers | -| **Local / Private LLMs** | Not available | Full support (vLLM, Ollama) - your data stays yours | -| **Self Hostable** | No | Yes - Docker one-liner or full Docker Compose | +| **Local / Private LLMs** | Not available | Full support (vLLM, Ollama), your data stays yours | +| **Self Hostable** | No | Yes, Docker one-liner or full Docker Compose | | **Open Source** | No | Yes | -| **External Connectors** | Google Drive, YouTube, websites | 27+ connectors - Search Engines, Google Drive, OneDrive, Dropbox, Slack, Teams, Jira, Notion, GitHub, Discord & [more](#external-sources) | -| **File Format Support** | PDFs, Docs, Slides, Sheets, CSV, Word, EPUB, images, web URLs, YouTube | 50+ formats - documents, images, videos via LlamaCloud, Unstructured, or Docling (local) | -| **Search** | Semantic search | Hybrid Search - Semantic + Full Text with Hierarchical Indices & Reciprocal Rank Fusion | -| **Cited Answers** | Yes | Yes - Perplexity-style cited responses | -| **Agentic Architecture** | No | Yes - powered by [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) with planning, subagents, and file system access | +| **Knowledge Base Sources** | Google Drive, YouTube, websites | File uploads, Google Drive, OneDrive, Dropbox, local folder sync, and crawled pages | +| **File Format Support** | PDFs, Docs, Slides, Sheets, CSV, Word, EPUB, images, web URLs, YouTube | 50+ formats: documents, images, videos via LlamaCloud, Unstructured, or Docling (local) | +| **Search** | Semantic search | Hybrid semantic + full-text with hierarchical indices & reciprocal rank fusion | +| **Cited Answers** | Yes | Yes, Perplexity-style cited responses | +| **Agentic Architecture** | No | Yes, powered by [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) with planning, subagents, and file system access | +| **AI Automations & Agents** | No | Scheduled workflows, event triggers, and chat-built no-code automations with write-back to Notion, Slack, Linear & Jira | | **Real-Time Multiplayer** | Shared notebooks with Viewer/Editor roles (no real-time chat) | RBAC with Owner / Admin / Editor / Viewer roles, real-time chat & comment threads | | **Video Generation** | Cinematic Video Overviews via Veo 3 (Ultra only) | Available (NotebookLM is better here, actively improving) | -| **Presentation Generation** | Better looking slides but not editable | Create editable, slide-based presentations | +| **Presentation Generation** | Better looking slides but not editable | Editable, slide-based presentations | | **Podcast Generation** | Audio Overviews with customizable hosts and languages | Available with multiple TTS providers (NotebookLM is better here, actively improving) | -| **AI File Sorting** | No | LLM-powered auto-categorization into source, date, category, and subcategory folders | -| **AI Automations & Agents** | No | Scheduled AI workflows, event triggers on new documents, and chat-built no-code automations with connector write-back to Notion, Slack, Linear & Jira | | **Desktop App** | No | Native app with General Assist, Quick Assist, Screenshot Assist, and local folder sync | -| **Browser Extension** | No | Cross-browser extension to save any webpage, including auth-protected pages | - -
-Full list of External Sources - - -Search Engines (SearXNG, Tavily, LinkUp, Baidu Search) · Google Drive · OneDrive · Dropbox · Slack · Microsoft Teams · Linear · Jira · ClickUp · Confluence · BookStack · Notion · Gmail · YouTube Videos · GitHub · Discord · Airtable · Google Calendar · Luma · Circleback · Elasticsearch · Obsidian, and more to come. - -
- - -## FEATURE REQUESTS AND FUTURE +## Feature requests and future **SurfSense is actively being developed.** While it's not yet production-ready, you can help us speed up the process. @@ -294,14 +274,12 @@ Join the [SurfSense Discord](https://discord.gg/ejRNvftDp9) and help shape the f ## Roadmap -Stay up to date with our development progress and upcoming features! -Check out our public roadmap and contribute your ideas or feedback: +Stay up to date with our development progress and upcoming features. Check out our public roadmap and contribute your ideas or feedback: **Roadmap Discussion:** [SurfSense 2026 Roadmap](https://github.com/MODSetter/SurfSense/discussions/565) **Kanban Board:** [SurfSense Project Board](https://github.com/users/MODSetter/projects/3) - ## Contribute All contributions welcome, from stars and bug reports to backend improvements. See [CONTRIBUTING.md](CONTRIBUTING.md) to get started. diff --git a/README.pt-BR.md b/README.pt-BR.md index db77e5132..4f2b945f4 100644 --- a/README.pt-BR.md +++ b/README.pt-BR.md @@ -1,4 +1,4 @@ -readme_banner +SurfSense, a plataforma open source de inteligência competitiva para agentes de IA @@ -20,289 +20,270 @@ MODSetter%2FSurfSense | Trendshift -# SurfSense +# SurfSense: Dê Inteligência Competitiva aos Seus Agentes de IA -O NotebookLM é uma das melhores e mais úteis plataformas de IA disponíveis, mas quando você começa a usá-lo regularmente também sente suas limitações deixando algo a desejar. +O SurfSense é a **plataforma open source de inteligência competitiva para agentes de IA**. Seus agentes monitoram concorrentes, acompanham rankings e escutam o seu mercado com dados ao vivo do **Reddit, YouTube, Google Maps, Google Search e da web aberta**, por meio de uma única **API REST** ou de um **servidor MCP**. Agentes agendados ou acionados por eventos transformam o que encontram em relatórios e alertas, e uma base de conhecimento integrada mantém cada descoberta pesquisável, com citações. -1. Há limites na quantidade de fontes que você pode adicionar em um notebook. -2. Há limites no número de notebooks que você pode ter. -3. Você não pode ter fontes que excedam 500.000 palavras e mais de 200MB. -4. Você fica preso aos serviços do Google (LLMs, modelos de uso, etc.) sem opção de configurá-los. -5. Fontes de dados externas e integrações de serviços limitadas. -6. O agente do NotebookLM é especificamente otimizado apenas para estudar e pesquisar, mas você pode fazer muito mais com os dados de origem. -7. Falta de suporte multiplayer. +> [!NOTE] +> **📢 Um recado para nossos usuários que buscavam uma alternativa ao NotebookLM** +> +> Nos últimos meses, construímos o SurfSense como o melhor agente de pesquisa geral para o seu próprio conhecimento, e esse capítulo nos rendeu uma comunidade da qual temos muito orgulho. Ferramentas agênticas como Claude, OpenCode, Hermes e OpenClaw já provaram que os agentes são o futuro, e a pesquisa geral está se tornando algo que todo agente capaz faz nativamente. O que ainda falta aos agentes são **dados de mercado ao vivo e os fluxos de trabalho em torno deles**, então é para lá que estamos direcionando toda a nossa energia: nos tornar a plataforma open source definitiva de agentes de inteligência competitiva. +> +> **Nada do que você usa vai deixar de existir.** Sua base de conhecimento, o chat com citações, os relatórios, os podcasts, as apresentações, as automações e os chats colaborativos continuam funcionando, e a auto-hospedagem segue gratuita e open source. Leia o anúncio completo no [nosso changelog](https://www.surfsense.com/changelog). -...e mais. +## Sumário -**O SurfSense foi feito especificamente para resolver esses problemas.** O SurfSense permite que você: +- [Por que os agentes precisam do SurfSense](#por-que-os-agentes-precisam-do-surfsense) +- [O que você pode fazer com o SurfSense?](#o-que-você-pode-fazer-com-o-surfsense) +- [Conectores de dados ao vivo](#conectores-de-dados-ao-vivo) +- [Início rápido](#início-rápido) +- [Tudo o mais que vem na caixa](#tudo-o-mais-que-vem-na-caixa) +- [SurfSense vs Google NotebookLM](#surfsense-vs-google-notebooklm) +- [Roadmap](#roadmap) +- [Contribua](#contribua) -- **Controle Seu Fluxo de Dados** - Mantenha seus dados privados e seguros. -- **Sem Limites de Dados** - Adicione uma quantidade ilimitada de fontes e notebooks. -- **Sem Dependência de Fornecedor** - Configure qualquer modelo LLM, de imagem, TTS e STT. -- **25+ Fontes de Dados Externas** - Adicione suas fontes do Google Drive, OneDrive, Dropbox, Notion e muitos outros serviços externos. -- **Suporte Multiplayer em Tempo Real** - Trabalhe facilmente com os membros da sua equipe em um notebook compartilhado. -- **Automações e Agentes de IA** - Execute agentes de IA em uma programação ou dispare-os no momento em que um documento chega a uma pasta, e escreva os resultados de volta no Notion, Slack, Linear e Drive. Crie automações sem código apenas descrevendo-as no chat. -- **Aplicativo Desktop** - Obtenha assistência de IA em qualquer aplicativo com Quick Assist, General Assist, Screenshot Assist e sincronização de pastas locais. +## Por que os agentes precisam do SurfSense -...e mais por vir. +Pergunte a qualquer agente capaz "quanto os concorrentes estão cobrando esta semana?" ou "o que o Reddit está dizendo sobre nós desde o lançamento?" e ele não terá nenhum lugar confiável para procurar. As APIs oficiais das plataformas têm limites de requisições, preços voltados para empresas ou simplesmente não existem, e a infraestrutura de scraping é frágil. O SurfSense fecha essa lacuna: +- **Conectores nativos de cada plataforma**, cada um sendo um endpoint REST tipado que retorna JSON estruturado. Sem roleta de limites de requisição, sem parsing de HTML. +- **Um servidor MCP** que expõe cada conector como uma ferramenta nativa (`surfsense_reddit_scrape`, `surfsense_google_search` e outras) para o Claude, o Cursor ou qualquer framework de agentes. +- **Um harness de agentes**, não apenas dados brutos: novas tentativas, saída estruturada e medição de créditos já vêm prontos, então os agentes vão de uma pergunta a um relatório sem que você precise construir a infraestrutura. +- **Open source e auto-hospedável**, para que sua pesquisa competitiva permaneça na sua própria infraestrutura. +## O que você pode fazer com o SurfSense? -## Exemplo de Agente de Vídeo +Cada caso de uso abaixo é uma tarefa real que o agente do SurfSense executa de ponta a ponta hoje, em um único prompt ou de forma agendada. -https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a +### Fluxos de trabalho multi-conector +Encadeie vários conectores em uma única execução do agente e receba um único relatório com citações. +- **Impacto de um lançamento, em todas as plataformas** — "Nosso concorrente lançou a v2 ontem. Meça a reação nas buscas, no Reddit e no YouTube." O agente raspa SERPs, threads do Reddit e comentários do YouTube, e depois funde os três sinais em um único relatório de impacto do lançamento. +- **Análise de concorrentes locais** — o Google Maps encontra os players, o rastreador web lê suas páginas de preços e o Google Search mostra quem vence a busca, tudo em uma única execução. +- **Concorrente 360, de forma agendada** — uma automação encadeia quatro conectores toda semana: mudanças no site, movimentos de ranking, sentimento no Reddit e reação no YouTube. -## Exemplo de Agente de Podcast +### Monitoramento de concorrentes -https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 +- **Vigilância de preços** — extraia cada plano, preço e limite das páginas de preços dos concorrentes em uma única tabela, depois verifique novamente todo dia e receba alertas sobre qualquer mudança. +- **Acompanhamento de produto e changelog** — rastreie as páginas de changelog, produto e vagas dos rivais toda segunda-feira e receba um relatório do que eles lançaram. +- **Monitoramento de rankings e anúncios** — acompanhe os rankings do Google, os anúncios pagos e as citações em AI Overviews que o seu mercado realmente vê, e sinalize os movimentos dia a dia. +### Geração de leads B2B -## Como Usar o SurfSense +- **Leads de negócios locais** — transforme uma categoria e um território ("hamburguerias em San Jose") em uma lista de leads com telefones, sites, avaliações e contatos de decisores extraídos dos sites deles. +- **Equipes e contatos** — rastreie o site de qualquer empresa e extraia a equipe completa com e-mails, redes sociais e a origem de cada dado, exportado para CSV. +- **Mapeamento de portfólios e mercados** — mapeie o portfólio de um investidor ou uma categoria inteira, e depois enriqueça cada empresa com preços e contatos. -### Cloud +### Escuta de marca e mercado -1. Acesse [surfsense.com](https://www.surfsense.com) e faça login. +- **Monitoramento de marca no Reddit** — ouça o que o seu mercado diz sobre você, seus concorrentes e sua categoria nas threads onde os compradores falam com franqueza. +- **Sentimento da audiência no YouTube** — colete vídeos, transcrições e comentários em escala, e depois agrupe o que as audiências elogiam e criticam. +- **Mineração de intenção e de quem quer trocar** — encontre as pessoas que estão ativamente buscando uma alternativa a um concorrente, ordenadas por quão prontas estão para migrar. -

Login

+### Pesquisa de mercado -2. Conecte seus conectores e sincronize. Ative a sincronização periódica para manter os conectores atualizados. +- **Pesquisa profunda na web ao vivo** — o agente rastreia dezenas de fontes ao vivo sobre uma pergunta e sintetiza uma resposta com citações, não um índice desatualizado. +- **Acompanhamento de AI Overviews e GEO** — capture quando os AI Overviews do Google respondem às buscas do seu mercado, e exatamente quais fontes eles citam. +- **Relatórios e alertas com citações** — tudo o que os agentes coletam chega ao seu workspace como relatórios e alertas com fontes que você pode verificar. -

Conectores

+### Automatize qualquer uma dessas tarefas, sem código -3. Enquanto os dados dos conectores são indexados, faça upload de documentos. +As automações executam turnos completos de agente de forma agendada ou em resposta a eventos, e depois gravam os resultados no Notion, Slack, Linear e Jira. Descreva o fluxo de trabalho em linguagem natural e o SurfSense o constrói. Experimente prompts como: -

Upload de Documentos

+- "Monitore as páginas de preços dos nossos 3 principais concorrentes e me avise no Slack quando um plano ou preço mudar." +- "Acompanhe cada menção à nossa marca no Reddit e no YouTube e me envie um resumo diário." +- "Monitore nosso ranking no Google para nossas 10 principais palavras-chave e sinalize quedas semana a semana." +- "Colete os novos reviews do Google Maps das nossas unidades e das dos concorrentes toda segunda-feira." +- "Execute um relatório mensal de análise de concorrentes e salve no meu workspace." -4. Quando tudo estiver indexado, pergunte o que quiser (Casos de uso): +## Conectores de dados ao vivo - **Aplicativo Desktop** (extras nativos, além de tudo o que está abaixo, não um conjunto separado) +| Conector | O que seus agentes recebem | Saiba mais | +|---|---|---| +| **Reddit** | Posts, comentários e fluxos de subreddits sem os limites de requisição da API oficial | [Reddit Scraper API](https://www.surfsense.com/reddit) | +| **YouTube** | Vídeos, transcrições e threads de comentários para monitoramento de marca e produto | [YouTube Scraper API](https://www.surfsense.com/youtube) | +| **Google Maps** | Estabelecimentos, avaliações e reviews para pesquisa local de concorrentes e leads | [Google Maps Scraper API](https://www.surfsense.com/google-maps) | +| **Google Search** | SERPs ao vivo para acompanhamento de rankings e monitoramento de mercado | [Google Search API](https://www.surfsense.com/google-search) | +| **Web Crawl** (rastreamento web) | Qualquer página da web aberta como conteúdo limpo e estruturado | [Web Crawling API](https://www.surfsense.com/web-crawl) | +| **Conectores MCP externos** | Traga qualquer servidor MCP para seus agentes, com OAuth em um clique para Notion, Slack, Jira e outros | [External MCP Connectors](https://www.surfsense.com/external-mcp-connectors) | - - General Assist: abra o SurfSense instantaneamente de qualquer aplicativo com um atalho global. +A cobrança é por uso: os conectores cobram por item efetivamente retornado, os rastreamentos por página obtida com sucesso, e chamadas com falha nunca são cobradas. Instalações auto-hospedadas rodam com a cobrança desativada. Veja os [preços](https://www.surfsense.com/pricing). -

General Assist

+## Início rápido - - Quick Assist: selecione um texto em qualquer lugar e peça à IA para explicar, reescrever ou agir sobre ele. +### Chame um conector a partir do código -

Quick Assist

+Cada conector é um endpoint REST que você pode chamar de qualquer linguagem com a sua chave de API do SurfSense: - - Screenshot Assist: capture qualquer região da tela e pergunte à IA sobre o que está nela. +```bash +curl -X POST "$SURFSENSE_API_URL/workspaces/$WORKSPACE_ID/scrapers/reddit/scrape" \ + -H "Authorization: Bearer $SURFSENSE_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "search_queries": ["your brand"], + "community": "webscraping", + "sort": "top", + "time_filter": "week" + }' +``` -

Screenshot Assist

+Cada [página de conector](https://www.surfsense.com/connectors) tem exemplos prontos para copiar e colar em Python, JavaScript, Go, PHP, Ruby, Java e C#. - - Watch Local Folder: sincronize automaticamente uma pasta local com sua base de conhecimento. Ótimo para cofres do Obsidian. +### Entregue as ferramentas aos seus agentes via MCP -

Watch Local Folder

+Adicione o servidor MCP do SurfSense ao Claude, ao Cursor ou ao seu próprio framework de agentes: - **Estúdio de Entregáveis** +```json +{ + "mcpServers": { + "surfsense": { + "url": "https://mcp.surfsense.com", + "headers": { "Authorization": "Bearer ${SURFSENSE_API_KEY}" } + } + } +} +``` - - AI Report Generator: gere relatórios de pesquisa com citações e exporte para PDF, DOCX, HTML, LaTeX, EPUB, ODT ou texto simples. +Seu agente agora pode chamar cada conector como uma ferramenta nativa. Veja a página do [servidor MCP do SurfSense](https://www.surfsense.com/mcp-server) para a lista completa de ferramentas, ou execute o servidor localmente a partir de [`surfsense_mcp`](./surfsense_mcp). -

AI Report Generator

+### Use a nuvem - - AI Podcast Generator: transforme qualquer documento ou pasta em um podcast de IA com dois apresentadores em menos de 20 segundos. +Acesse [surfsense.com](https://www.surfsense.com), faça login e peça ao agente dados de mercado ao vivo em linguagem natural. Contas novas começam com US$ 5 de crédito gratuito e sem assinatura. -

AI Podcast Generator

- - AI Presentation & Video Maker: crie apresentações editáveis e vídeos narrados a partir das suas fontes. +### Auto-hospede gratuitamente -

AI Presentation and Video Maker

+Rode a plataforma inteira, conectores, agentes, automações e o servidor MCP na sua própria infraestrutura. Instalações auto-hospedadas vêm com a cobrança desativada, então scraping, rastreamento e execuções de agentes são limitados apenas pelo seu hardware e pelas chaves de modelo que você trouxer. - - AI Image Generator: gere imagens de alta qualidade diretamente das suas conversas e documentos. +**Pré-requisitos:** o [Docker Desktop](https://www.docker.com/products/docker-desktop/) precisa estar instalado e em execução. -

AI Image Generator

- - - AI Resume Builder: adapte seu currículo atual a qualquer descrição de vaga e supere o ATS. - Experimente prompts como estes: - - - "Adapte meu currículo a esta descrição de vaga para passar pelo ATS e conseguir uma entrevista." - - "Otimize meu currículo para o ATS combinando as palavras-chave desta vaga." - - "Reescreva os tópicos do meu currículo para destacar as habilidades que esta vaga exige." - - "Compare meu currículo com esta descrição de vaga e liste as lacunas a corrigir." - - "Escreva uma carta de apresentação combinando com meu currículo e esta descrição de vaga." - - **Busca e Chat** - - - Chat With Your PDFs & Docs: faça perguntas sobre todos os seus arquivos e receba respostas com citações inline. - -

Chat With Your PDFs and Docs

- - - AI Search With Citations: busca híbrida semântica e por palavra-chave em toda a sua base de conhecimento. - -

AI Search With Citations

- - - Collaborative AI Chat: trabalhe em conversas de IA com sua equipe em tempo real. - -

Collaborative AI Chat

- - - Comments & Mentions: comente e marque colegas em qualquer mensagem de IA. - -

Comments and Mentions

- - **Conectores e Integrações** - - - Connect & Sync Your Tools: sincronize Notion, Slack, Google Drive, Gmail, GitHub, Linear e mais de 25 fontes em um único acervo pesquisável. - -

Connect and Sync Your Tools

- - - Chat With Uploaded Files: envie PDFs, documentos do Office, imagens e áudio. Pesquisáveis instantaneamente. - -

Chat With Uploaded Files

- - - Connector Write-Back: deixe o agente publicar os resultados de volta no Notion, Slack, Linear e Drive. - Experimente prompts como estes: - - - "Publique este resumo de pesquisa no meu espaço do Notion." - - "Envie estes itens de ação da reunião para o nosso canal do Slack." - - "Crie um ticket no Jira a partir deste relatório de bug." - - "Abra uma issue no Linear a partir desta solicitação de funcionalidade." - - "Salve este relatório gerado no Google Drive como um documento." - - - Obsidian & Knowledge Base Sync: mantenha seu cofre do Obsidian e sua base de conhecimento pessoal sincronizados. - - **Automações** - - - Scheduled AI Workflows: execute um agente em uma programação: resumos diários, boletins semanais, relatórios recorrentes. - Experimente prompts como estes: - - - "Envie-me todas as manhãs um resumo diário dos novos documentos na minha base de conhecimento." - - "Gere um relatório de status semanal a partir do meu Slack e Gmail toda sexta-feira." - - "Execute um relatório mensal de análise da concorrência e salve-o no meu espaço de trabalho." - - "Resuma minha atividade no GitHub e Linear em uma atualização diária de standup." - - "Crie um relatório de pesquisa semanal recorrente sobre os temas que acompanho." - - - Event-Triggered Automations: dispare um agente no momento em que um documento chega a uma pasta e publique o resultado nas suas ferramentas. - Experimente prompts como estes: - - - "Quando um PDF chegar à minha pasta de Pesquisa, gere um resumo com IA e citações." - - "Quando novas notas de reunião forem adicionadas, transforme-as em atas com itens de ação." - - "Quando uma fatura for enviada, extraia o fornecedor, o total e a data de vencimento em uma tabela." - - "Quando um contrato entrar na minha pasta Jurídica, sinalize os termos-chave e as datas de renovação." - - "Quando um currículo for adicionado a Candidatos, avalie-o em relação à descrição da vaga." - - - Chat-Built Automations: descreva uma automação em linguagem simples e o SurfSense a cria para você. - Experimente prompts como estes: - - - "Crie um agente de IA que me envie todas as manhãs um resumo das novas páginas do Notion." - - "Crie uma automação sem código que publique um resumo de pesquisa semanal no Slack." - - "Configure um anotador com IA que transforme as novas notas de reunião em atas." - - "Crie um fluxo que extraia os itens de ação das notas de reunião e atribua responsáveis." - - "Automatize um resumo diário por e-mail a partir do meu Gmail e Google Drive." - - -### Auto-Hospedado - -Execute o SurfSense na sua própria infraestrutura para controle total de dados e privacidade. - -**Pré-requisitos:** [Docker Desktop](https://www.docker.com/products/docker-desktop/) deve estar instalado e em execução. - -#### Para usuários de Linux/MacOS: +Para Linux/macOS: ```bash curl -fsSL https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.sh | bash ``` -#### Para usuários do Windows: +Para Windows: -```powershell +```bash irm https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.ps1 | iex ``` -O script de instalação configura o [Watchtower](https://github.com/nicholas-fedor/watchtower) automaticamente para atualizações diárias. Para pular, adicione a flag `--no-watchtower`. +O script de instalação configura o [Watchtower](https://github.com/nicholas-fedor/watchtower) automaticamente para atualizações automáticas diárias. Para pular essa etapa, adicione a flag `--no-watchtower`. Para Docker Compose, instalação manual e outras opções de implantação, consulte a [documentação](https://www.surfsense.com/docs/). -Para Docker Compose, instalação manual e outras opções de implantação, consulte a [documentação](https://www.surfsense.com/docs/). +## Tudo o mais que vem na caixa -### Aplicativo Desktop +O workspace de pesquisa que fez do SurfSense a principal alternativa open source ao NotebookLM continua aqui, e tudo o que seus agentes coletam chega até ele. -O SurfSense também oferece um aplicativo desktop que traz assistência de IA para cada aplicativo no seu computador. Baixe-o na [última versão](https://github.com/MODSetter/SurfSense/releases/latest). +**Base de conhecimento** -O aplicativo desktop inclui estes recursos poderosos: +- Envie PDFs, documentos do Office, imagens e áudio, ou sincronize **Google Drive, OneDrive e Dropbox**. Mais de 50 formatos de arquivo suportados. +- Busca híbrida semântica e de texto completo, com respostas citadas no estilo Perplexity. +- Organização de arquivos por IA que classifica automaticamente os documentos por origem, data e tópico. -- **General Assist** — Abra o SurfSense instantaneamente de qualquer aplicativo com um atalho global. -- **Quick Assist** — Selecione texto em qualquer lugar, depois peça à IA para explicar, reescrever ou agir sobre ele. -- **Screenshot Assist** — Selecione uma região da tela e anexe ao chat para respostas fundamentadas na sua base de conhecimento. -- **Watch Local Folder** — Monitore uma pasta local e sincronize automaticamente as alterações de arquivos com sua base de conhecimento. **Pro tip:** Aponte para seu cofre do Obsidian para manter suas notas pesquisáveis no SurfSense. +

Converse com seus PDFs e documentos

-Todos os recursos operam no espaço de busca escolhido, para que suas respostas sejam sempre baseadas nos seus próprios dados. +**Estúdio de entregáveis** -### Como Colaborar em Tempo Real (Beta) +- Gerador de relatórios com IA, com exportação para PDF, DOCX, HTML, LaTeX, EPUB, ODT ou texto simples. +- Podcasts de IA com dois apresentadores a partir de qualquer documento ou pasta em menos de 20 segundos. +- Apresentações de slides editáveis, resumos em vídeo narrados e geração de imagens por IA. -1. Acesse a página de Gerenciar Membros e crie um convite. +

Gerador de Relatórios com IA

-

Convidar Membros

+**Colaboração em equipe** -2. O colega aceita e aquele SearchSpace se torna compartilhado. +- Chats de IA colaborativos em tempo real, com comentários e menções. +- RBAC com os papéis de Owner, Admin, Editor e Viewer. -

Fluxo de Entrada por Convite

+

Chat de IA colaborativo

-3. Torne o chat compartilhado. +**Aplicativo desktop** -

Tornar Chat Compartilhado

+Assistência de IA nativa em todos os aplicativos do seu computador. Baixe na [versão mais recente](https://github.com/MODSetter/SurfSense/releases/latest). -4. Sua equipe agora pode conversar em tempo real. +- **General Assist**: abra o SurfSense a partir de qualquer aplicativo com um atalho global. +- **Quick Assist**: selecione texto em qualquer lugar e peça à IA para explicar, reescrever ou agir sobre ele. +- **Screenshot Assist**: capture qualquer região da tela e faça perguntas à IA sobre ela. +- **Watch Local Folder** (monitorar pasta local): sincronize automaticamente uma pasta local com a sua base de conhecimento. Aponte para o seu cofre do Obsidian para manter suas notas pesquisáveis. -

Chat em Tempo Real

+

Quick Assist

-5. Adicione comentários para marcar colegas de equipe. +**Sem dependência de fornecedor** -

Comentários em Tempo Real

+- Mais de 100 LLMs via especificação da OpenAI e LiteLLM, incluindo GPT-5.5, Claude Sonnet 5 e Gemini 3.1 Pro. +- Mais de 6.000 modelos de embedding e todos os principais rerankers. +- Suporte completo a LLMs locais e privados (vLLM, Ollama), para que seus dados continuem sendo seus. + +## Exemplo do Agente de Vídeo + +https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a + +## Exemplo do Agente de Podcast + +https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 + +## Como colaborar em tempo real (Beta) + +1. Vá até a página Manage Members e crie um convite. + +

Convidar membros

+ +2. Um colega entra e aquele workspace passa a ser compartilhado. + +

Fluxo de entrada por convite

+ +3. Torne um chat compartilhado e trabalhem nele juntos em tempo real, com comentários para marcar colegas. + +

Comentários em tempo real

## SurfSense vs Google NotebookLM +Ainda nos comparando como alternativa ao NotebookLM? Aqui está o comparativo honesto. + | Recurso | Google NotebookLM | SurfSense | |---------|-------------------|-----------| -| **Fontes por Notebook** | 50 (Grátis) a 600 (Ultra, $249.99/mês) | Ilimitadas | -| **Número de Notebooks** | 100 (Grátis) a 500 (planos pagos) | Ilimitados | -| **Limite de Tamanho da Fonte** | 500.000 palavras / 200MB por fonte | Sem limite | -| **Preços** | Nível gratuito disponível; Pro $19.99/mês, Ultra $249.99/mês | Gratuito e de código aberto, auto-hospedável na sua própria infra | -| **Suporte a LLM** | Apenas Google Gemini | 100+ LLMs via OpenAI spec e LiteLLM | -| **Modelos de Embeddings** | Apenas Google | 6.000+ modelos de embeddings, todos os principais rerankers | -| **LLMs Locais / Privados** | Não disponível | Suporte completo (vLLM, Ollama) - seus dados ficam com você | -| **Auto-Hospedável** | Não | Sim - Docker em um único comando ou Docker Compose completo | -| **Código Aberto** | Não | Sim | -| **Conectores Externos** | Google Drive, YouTube, sites | 27+ conectores - Mecanismos de busca, Google Drive, OneDrive, Dropbox, Slack, Teams, Jira, Notion, GitHub, Discord e [mais](#fontes-externas) | -| **Suporte a Formatos de Arquivo** | PDFs, Docs, Slides, Sheets, CSV, Word, EPUB, imagens, URLs web, YouTube | 50+ formatos - documentos, imagens, vídeos via LlamaCloud, Unstructured ou Docling (local) | -| **Busca** | Busca semântica | Busca Híbrida - Semântica + Texto completo com Índices Hierárquicos e Reciprocal Rank Fusion | -| **Respostas com Citações** | Sim | Sim - Respostas citadas no estilo Perplexity | -| **Arquitetura de Agentes** | Não | Sim - alimentado por [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) com planejamento, subagentes e acesso ao sistema de arquivos | -| **Multiplayer em Tempo Real** | Notebooks compartilhados com papéis de Visualizador/Editor (sem chat em tempo real) | RBAC com papéis de Proprietário / Admin / Editor / Visualizador, chat em tempo real e threads de comentários | -| **Geração de Vídeos** | Visões gerais cinemáticas via Veo 3 (apenas Ultra) | Disponível (NotebookLM é melhor aqui, melhorando ativamente) | -| **Geração de Apresentações** | Slides mais bonitos mas não editáveis | Cria apresentações editáveis baseadas em slides | -| **Geração de Podcasts** | Visões gerais em áudio com hosts e idiomas personalizáveis | Disponível com múltiplos provedores TTS (NotebookLM é melhor aqui, melhorando ativamente) | -| **Automações e Agentes de IA** | Não | Fluxos de trabalho de IA agendados, gatilhos por eventos em novos documentos e automações sem código criadas por chat com escrita de volta no Notion, Slack, Linear e Jira | -| **Aplicativo Desktop** | Não | Aplicativo nativo com General Assist, Quick Assist, Screenshot Assist e sincronização de pastas locais | -| **Extensão de Navegador** | Não | Extensão multi-navegador para salvar qualquer página web, incluindo páginas protegidas por autenticação | - -
-Lista completa de Fontes Externas - - -Mecanismos de Busca (SearXNG, Tavily, LinkUp, Baidu Search) · Google Drive · OneDrive · Dropbox · Slack · Microsoft Teams · Linear · Jira · ClickUp · Confluence · BookStack · Notion · Gmail · Vídeos do YouTube · GitHub · Discord · Airtable · Google Calendar · Luma · Circleback · Elasticsearch · Obsidian, e mais por vir. - -
- - -## SOLICITAÇÕES DE FUNCIONALIDADES E FUTURO +| **Dados de mercado ao vivo para agentes** | Não | Conectores de Reddit, YouTube, Google Maps, Google Search e rastreamento web via API REST e MCP | +| **Servidor MCP** | Não | Cada conector exposto como ferramenta nativa de agente, além de servidores MCP próprios com apps OAuth em um clique | +| **Fontes por Notebook** | 50 (gratuito) a 600 (Ultra, US$ 249,99/mês) | Ilimitadas | +| **Número de Notebooks** | 100 (gratuito) a 500 (planos pagos) | Ilimitado | +| **Limite de tamanho por fonte** | 500.000 palavras / 200 MB por fonte | Sem limite | +| **Preços** | Plano gratuito; Pro US$ 19,99/mês, Ultra US$ 249,99/mês | Gratuito e open source para auto-hospedar; a nuvem é paga por uso, com US$ 5 de crédito gratuito | +| **Suporte a LLMs** | Apenas Google Gemini | Mais de 100 LLMs via especificação da OpenAI e LiteLLM | +| **Modelos de embedding** | Apenas Google | Mais de 6.000 modelos de embedding, todos os principais rerankers | +| **LLMs locais / privados** | Não disponível | Suporte completo (vLLM, Ollama), seus dados continuam sendo seus | +| **Auto-hospedável** | Não | Sim, com uma linha de Docker ou Docker Compose completo | +| **Open source** | Não | Sim | +| **Fontes da base de conhecimento** | Google Drive, YouTube, sites | Upload de arquivos, Google Drive, OneDrive, Dropbox, sincronização de pasta local e páginas rastreadas | +| **Formatos de arquivo suportados** | PDFs, Docs, Slides, Sheets, CSV, Word, EPUB, imagens, URLs, YouTube | Mais de 50 formatos: documentos, imagens, vídeos via LlamaCloud, Unstructured ou Docling (local) | +| **Busca** | Busca semântica | Híbrida semântica + texto completo, com índices hierárquicos e fusão de rankings recíprocos | +| **Respostas com citações** | Sim | Sim, respostas citadas no estilo Perplexity | +| **Arquitetura agêntica** | Não | Sim, com [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview), incluindo planejamento, subagentes e acesso ao sistema de arquivos | +| **Automações e agentes de IA** | Não | Fluxos agendados, gatilhos por eventos e automações sem código criadas via chat, com gravação no Notion, Slack, Linear e Jira | +| **Multiplayer em tempo real** | Notebooks compartilhados com papéis Viewer/Editor (sem chat em tempo real) | RBAC com papéis Owner / Admin / Editor / Viewer, chat em tempo real e threads de comentários | +| **Geração de vídeo** | Video Overviews cinematográficos via Veo 3 (apenas Ultra) | Disponível (o NotebookLM é melhor aqui, em melhoria contínua) | +| **Geração de apresentações** | Slides mais bonitos, porém não editáveis | Apresentações editáveis baseadas em slides | +| **Geração de podcasts** | Audio Overviews com apresentadores e idiomas personalizáveis | Disponível com vários provedores de TTS (o NotebookLM é melhor aqui, em melhoria contínua) | +| **Aplicativo desktop** | Não | App nativo com General Assist, Quick Assist, Screenshot Assist e sincronização de pasta local | +## Pedidos de recursos e futuro **O SurfSense está em desenvolvimento ativo.** Embora ainda não esteja pronto para produção, você pode nos ajudar a acelerar o processo. -Junte-se ao [Discord do SurfSense](https://discord.gg/ejRNvftDp9) e ajude a moldar o futuro do SurfSense! +Entre no [Discord do SurfSense](https://discord.gg/ejRNvftDp9) e ajude a moldar o futuro do SurfSense! ## Roadmap -Fique atualizado com nosso progresso de desenvolvimento e próximas funcionalidades! -Confira nosso roadmap público e contribua com suas ideias ou feedback: +Fique por dentro do nosso progresso de desenvolvimento e dos próximos recursos. Confira nosso roadmap público e contribua com suas ideias ou feedback: -**Discussão do Roadmap:** [SurfSense 2026 Roadmap](https://github.com/MODSetter/SurfSense/discussions/565) +**Discussão do roadmap:** [SurfSense 2026 Roadmap](https://github.com/MODSetter/SurfSense/discussions/565) **Quadro Kanban:** [SurfSense Project Board](https://github.com/users/MODSetter/projects/3) +## Contribua -## Contribuir - -Todas as contribuições são bem-vindas, desde estrelas e relatórios de bugs até melhorias no backend. Consulte [CONTRIBUTING.md](CONTRIBUTING.md) para começar. +Todas as contribuições são bem-vindas, de estrelas e relatos de bugs a melhorias no backend. Veja o [CONTRIBUTING.md](CONTRIBUTING.md) para começar. Obrigado a todos os nossos Surfers: @@ -310,13 +291,13 @@ Obrigado a todos os nossos Surfers: -## Histórico de Stars +## Histórico de estrelas - Star History Chart + Gráfico do histórico de estrelas diff --git a/README.zh-CN.md b/README.zh-CN.md index d3d5330f6..22410a727 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -1,4 +1,4 @@ -readme_banner +SurfSense,面向 AI 智能体的开源竞争情报平台 @@ -20,291 +20,272 @@ MODSetter%2FSurfSense | Trendshift -# SurfSense +# SurfSense:为你的 AI 智能体注入竞争情报能力 -NotebookLM 是目前最好、最实用的 AI 平台之一,但当你开始经常使用它时,你也会感受到它的局限性,总觉得还有不足之处。 +SurfSense 是**面向 AI 智能体的开源竞争情报平台**。你的智能体可以通过一个 **REST API** 或 **MCP 服务器**,利用来自 **Reddit、YouTube、Google Maps、Google Search 和开放网络**的实时数据,监控竞争对手、追踪排名、倾听市场动态。定时和事件触发的智能体会把发现的内容转化为简报和预警,内置的知识库则让每一条发现都可搜索、可引用。 -1. 一个笔记本中可以添加的来源数量有限制。 -2. 可以拥有的笔记本数量有限制。 -3. 来源不能超过 500,000 个单词和 200MB。 -4. 你被锁定在 Google 服务中(LLM、使用模型等),没有配置选项。 -5. 有限的外部数据源和服务集成。 -6. NotebookLM 代理专门针对学习和研究进行了优化,但你可以用源数据做更多事情。 -7. 缺乏多人协作支持。 +> [!NOTE] +> **📢 致我们的 NotebookLM 替代品用户** +> +> 在过去几个月里,我们把 SurfSense 打造成了针对个人知识的最佳通用研究智能体,这段旅程为我们赢得了一个令我们由衷自豪的社区。如今,Claude、OpenCode、Hermes、OpenClaw 等智能体工具已经证明智能体就是未来,通用研究正在成为每个有能力的智能体开箱即用的功能。而智能体仍然缺少的是**实时市场数据以及围绕它的工作流**,所以这正是我们全力投入的方向:成为标杆级的开源竞争情报智能体平台。 +> +> **你所依赖的一切功能都不会消失。**你的知识库、带引用的对话、报告、播客、演示文稿、自动化以及协作聊天都会继续可用,自托管也依然免费且开源。完整公告请阅读[我们的更新日志](https://www.surfsense.com/changelog)。 -...还有更多。 +## 目录 -**SurfSense 正是为了解决这些问题而生。** SurfSense 赋予你: +- [为什么智能体需要 SurfSense](#为什么智能体需要-surfsense) +- [你可以用 SurfSense 做什么?](#你可以用-surfsense-做什么) +- [实时数据连接器](#实时数据连接器) +- [快速开始](#快速开始) +- [开箱即用的其他能力](#开箱即用的其他能力) +- [SurfSense 对比 Google NotebookLM](#surfsense-对比-google-notebooklm) +- [路线图](#路线图) +- [参与贡献](#参与贡献) -- **控制你的数据流** - 保持数据私密和安全。 -- **无数据限制** - 添加无限数量的来源和笔记本。 -- **无供应商锁定** - 配置任何 LLM、图像、TTS 和 STT 模型。 -- **25+ 外部数据源** - 从 Google Drive、OneDrive、Dropbox、Notion 和许多其他外部服务添加你的来源。 -- **实时多人协作支持** - 在共享笔记本中轻松与团队成员协作。 -- **AI 自动化与智能体** - 按计划运行 AI 智能体,或在文档进入文件夹的那一刻触发它们,然后将结果回写到 Notion、Slack、Linear 和 Drive。只需在聊天中描述即可创建无代码自动化。 -- **桌面应用** - 通过 Quick Assist、General Assist、Screenshot Assist 和本地文件夹同步在任何应用程序中获得 AI 助手。 +## 为什么智能体需要 SurfSense -...更多功能即将推出。 +问任何一个有能力的智能体"竞争对手这周的定价是多少?"或者"自发布以来 Reddit 上对我们的评价如何?",它都找不到可信赖的数据来源。官方平台 API 要么有速率限制,要么按企业级定价,要么根本不存在,而自建抓取管线又非常脆弱。SurfSense 正是为填补这一空白而生: +- **平台原生连接器**,每个都是返回结构化 JSON 的强类型 REST 端点。不用赌速率限制,也不用解析 HTML。 +- **一个 MCP 服务器**,把每个连接器都作为原生工具(`surfsense_reddit_scrape`、`surfsense_google_search` 等)暴露给 Claude、Cursor 或任何智能体框架。 +- **一套智能体运行框架**,而不只是原始数据:重试、结构化输出和额度计量都已内置,智能体可以从一个问题直达一份简报,无需你自己搭建管线。 +- **开源且可自托管**,你的竞争研究数据始终留在你自己的基础设施上。 +## 你可以用 SurfSense 做什么? -## 视频代理示例 +下面的每个用例都是 SurfSense 智能体如今能够端到端完成的真实任务,一条提示语或一个定时计划即可触发。 -https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a +### 多连接器工作流 +在一次智能体运行中串联多个连接器,最终得到一份带引用的简报。 +- **发布影响力分析,覆盖所有平台** — "我们的竞争对手昨天发布了 v2。评估搜索、Reddit 和 YouTube 上的反应。"智能体会抓取搜索结果页、Reddit 帖子和 YouTube 评论,然后把三路信号汇总成一份发布影响力简报。 +- **本地竞争对手拆解** — Google Maps 找到本地玩家,网页爬虫读取他们的定价页面,Google Search 展示谁在搜索中胜出,全部在一次运行中完成。 +- **定时执行的竞争对手 360 全景** — 一条自动化每周串联四个连接器:网站变更、排名变动、Reddit 舆情和 YouTube 反应。 -## 播客代理示例 +### 竞争对手监控 -https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 +- **定价监控** — 从竞争对手的定价页面提取每个套餐、价格和限制,汇总到一张表格,然后每天复查,任何变动即时预警。 +- **产品与更新日志追踪** — 每周一爬取对手的更新日志、产品页和招聘页面,收到一份他们发布了什么的简报。 +- **排名与广告监控** — 追踪你的市场真正看到的 Google 排名、付费广告和 AI Overview 引用,并逐日标记变动。 +### B2B 潜在客户开发 -## 如何使用 SurfSense +- **本地商户线索** — 把一个品类加一个地区("圣何塞的汉堡店")变成一份线索清单,包含电话、网站、评分,以及从他们网站上提取的决策人联系方式。 +- **团队名录与联系方式** — 爬取任意公司网站,提取完整团队名单,附带邮箱、社交账号和数据来源,导出为 CSV。 +- **投资组合与市场地图** — 绘制一家投资机构的投资组合或整个品类的全景图,再为每家公司补充定价和联系方式。 -### Cloud +### 品牌与市场舆情监听 -1. 访问 [surfsense.com](https://www.surfsense.com) 并登录。 +- **Reddit 品牌监控** — 在买家坦诚发言的帖子里,倾听你的市场对你、你的竞争对手和你所在品类的真实评价。 +- **YouTube 观众情绪分析** — 大规模拉取视频、字幕转录和评论,然后聚类分析观众在称赞什么、抱怨什么。 +- **换用意向挖掘** — 找到正在积极寻找某竞争对手替代品的人群,并按他们的换用意愿排序。 -

登录

+### 市场调研 -2. 连接您的连接器并同步。启用定期同步以保持连接器数据更新。 +- **实时网络深度研究** — 智能体针对一个问题爬取数十个实时来源,并综合出一份带引用的答案,而不是过时的索引。 +- **AI Overview 与 GEO 追踪** — 捕捉 Google 的 AI Overviews 何时回答了你市场的搜索,以及它们究竟引用了哪些来源。 +- **带引用的简报与预警** — 智能体收集到的一切都会以简报和预警的形式汇入你的工作区,每条结论都附带可核查的来源。 -

连接器

+### 把以上任何任务自动化,无需代码 -3. 在连接器数据索引期间,上传文档。 +自动化功能可以按计划或响应事件运行完整的智能体回合,然后把结果写回 Notion、Slack、Linear 和 Jira。用自然语言描述工作流,SurfSense 就会替你构建。可以试试这些提示语: -

上传文档

+- "盯住我们前 3 名竞争对手的定价页面,一旦套餐或价格变动就在 Slack 上提醒我。" +- "追踪 Reddit 和 YouTube 上对我们品牌的每一次提及,每天给我发一份摘要。" +- "监控我们前 10 个关键词的 Google 排名,按周标记下滑情况。" +- "每周一拉取我们门店以及竞争对手门店的最新 Google Maps 评论。" +- "每月生成一份竞争对手分析报告并保存到我的工作区。" -4. 一切索引完成后,尽管提问(使用场景): +## 实时数据连接器 - **桌面应用**(在以下所有功能之外的原生附加功能,并非独立的功能集) +| 连接器 | 你的智能体能获得什么 | 了解更多 | +|---|---|---| +| **Reddit** | 帖子、评论和子版块信息流,不受官方 API 速率限制 | [Reddit Scraper API](https://www.surfsense.com/reddit) | +| **YouTube** | 视频、字幕转录和评论串,用于品牌和产品舆情监听 | [YouTube Scraper API](https://www.surfsense.com/youtube) | +| **Google Maps** | 地点、评分和评论,用于本地竞争对手和潜在客户调研 | [Google Maps Scraper API](https://www.surfsense.com/google-maps) | +| **Google Search** | 实时搜索结果页,用于排名追踪和市场监控 | [Google Search API](https://www.surfsense.com/google-search) | +| **Web Crawl** | 把开放网络上的任意页面转为干净、结构化的内容 | [Web Crawling API](https://www.surfsense.com/web-crawl) | +| **外部 MCP 连接器** | 将任意 MCP 服务器接入你的智能体,Notion、Slack、Jira 等支持一键 OAuth | [External MCP Connectors](https://www.surfsense.com/external-mcp-connectors) | - - General Assist:通过全局快捷键,从任意应用中即刻打开 SurfSense。 +计费采用按量付费:连接器按实际返回的条目计费,爬取按成功抓取的页面计费,失败的调用永不计费。自托管部署默认关闭计费。详见[定价](https://www.surfsense.com/pricing)。 -

General Assist

+## 快速开始 - - Quick Assist:在任意位置选中文本,让 AI 解释、改写或对其执行操作。 +### 在代码中调用连接器 -

Quick Assist

+每个连接器都是一个 REST 端点,你可以用任何语言、凭借你的 SurfSense API 密钥来调用: - - Screenshot Assist:截取屏幕上任意区域,并就其中内容向 AI 提问。 +```bash +curl -X POST "$SURFSENSE_API_URL/workspaces/$WORKSPACE_ID/scrapers/reddit/scrape" \ + -H "Authorization: Bearer $SURFSENSE_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "search_queries": ["your brand"], + "community": "webscraping", + "sort": "top", + "time_filter": "week" + }' +``` -

Screenshot Assist

+每个[连接器页面](https://www.surfsense.com/connectors)都提供 Python、JavaScript、Go、PHP、Ruby、Java 和 C# 的可直接复制粘贴的示例。 - - Watch Local Folder:将本地文件夹自动同步到你的知识库。非常适合 Obsidian 库。 +### 通过 MCP 把工具交给你的智能体 -

Watch Local Folder

+把 SurfSense MCP 服务器添加到 Claude、Cursor 或你自己的智能体框架: - **成果工作室** +```json +{ + "mcpServers": { + "surfsense": { + "url": "https://mcp.surfsense.com", + "headers": { "Authorization": "Bearer ${SURFSENSE_API_KEY}" } + } + } +} +``` - - AI Report Generator:生成带引用的研究报告,并导出为 PDF、DOCX、HTML、LaTeX、EPUB、ODT 或纯文本。 +现在,你的智能体就可以把每个连接器当作原生工具来调用。完整工具列表请查看 [SurfSense MCP 服务器](https://www.surfsense.com/mcp-server) 页面,也可以通过 [`surfsense_mcp`](./surfsense_mcp) 在本地运行该服务器。 -

AI Report Generator

+### 使用云端服务 - - AI Podcast Generator:在 20 秒内将任意文档或文件夹转换为双主持人 AI 播客。 +访问 [surfsense.com](https://www.surfsense.com),登录后用自然语言向智能体索取实时市场数据。新账户自带 5 美元免费额度,无需订阅。 -

AI Podcast Generator

- - AI Presentation & Video Maker:根据你的资料创建可编辑的幻灯片和带旁白的视频概览。 +### 免费自托管 -

AI Presentation and Video Maker

+在你自己的基础设施上运行整个平台,包括连接器、智能体、自动化和 MCP 服务器。自托管部署默认关闭计费,抓取、爬取和智能体运行只受你的硬件和你自带的模型密钥限制。 - - AI Image Generator:直接从你的聊天和文档生成高质量图像。 +**前置条件:**必须已安装并运行 [Docker Desktop](https://www.docker.com/products/docker-desktop/)。 -

AI Image Generator

- - - AI Resume Builder:根据任意职位描述定制你现有的简历,顺利通过 ATS。 - 可以试试这样的提示: - - - “根据这份职位描述定制我的简历,让它通过 ATS 并赢得面试。” - - “匹配这份招聘启事中的关键词,为 ATS 优化我的简历。” - - “重写我的简历要点,突出这个岗位所需要的技能。” - - “将我的简历与这份职位描述对比,列出需要改进的差距。” - - “根据我的简历和这份职位描述,写一封相匹配的求职信。” - - **搜索与聊天** - - - Chat With Your PDFs & Docs:跨所有文件提问,并获得带内联引用的答案。 - -

Chat With Your PDFs and Docs

- - - AI Search With Citations:在整个知识库中进行语义与关键词的混合搜索。 - -

AI Search With Citations

- - - Collaborative AI Chat:与团队实时协作处理 AI 对话。 - -

Collaborative AI Chat

- - - Comments & Mentions:在任意 AI 消息上评论并 @ 你的队友。 - -

Comments and Mentions

- - **连接器与集成** - - - Connect & Sync Your Tools:将 Notion、Slack、Google Drive、Gmail、GitHub、Linear 等 25+ 数据源同步为一个可搜索的语料库。 - -

Connect and Sync Your Tools

- - - Chat With Uploaded Files:上传 PDF、Office 文档、图像和音频。即刻可搜索。 - -

Chat With Uploaded Files

- - - Connector Write-Back:让智能体将结果回写到 Notion、Slack、Linear 和 Drive。 - 可以试试这样的提示: - - - “把这份研究摘要发布到我的 Notion 工作区。” - - “把这些会议行动项发送到我们的团队 Slack 频道。” - - “根据这份缺陷报告创建一个 Jira 工单。” - - “根据这个功能需求在 Linear 中创建一个 issue。” - - “把这份生成的报告作为文档保存到 Google Drive。” - - - Obsidian & Knowledge Base Sync:让你的 Obsidian 库与个人知识库保持同步。 - - **自动化** - - - Scheduled AI Workflows:按计划运行智能体:每日简报、每周摘要、周期性报告。 - 可以试试这样的提示: - - - “每天早上把我知识库中新增文档的每日简报发邮件给我。” - - “每周五根据我的 Slack 和 Gmail 生成一份每周状态报告。” - - “每月运行一次竞争对手分析报告并保存到我的工作区。” - - “把我的 GitHub 和 Linear 活动汇总成一份每日站会更新。” - - “针对我关注的主题创建一份周期性的每周研究报告。” - - - Event-Triggered Automations:在文档进入文件夹的那一刻触发智能体,并将结果发布到你的工具中。 - 可以试试这样的提示: - - - “当一个 PDF 进入我的 Research 文件夹时,生成一份带引用的 AI 摘要。” - - “当新增会议记录时,把它整理成带行动项的会议纪要。” - - “当上传发票时,把供应商、总额和到期日提取到一张表格中。” - - “当一份合同进入我的 Legal 文件夹时,标记关键条款和续约日期。” - - “当一份简历加入 Candidates 时,根据职位描述对其进行筛选。” - - - Chat-Built Automations:用通俗的语言描述一个自动化,SurfSense 就会为你构建它。 - 可以试试这样的提示: - - - “创建一个 AI 智能体,每天早上把新增 Notion 页面的摘要发邮件给我。” - - “创建一个无代码自动化,每周把研究摘要发布到 Slack。” - - “设置一个 AI 笔记助手,把新增会议记录整理成纪要。” - - “创建一个工作流,从会议记录中提取行动项并指派负责人。” - - “自动化一份来自我的 Gmail 和 Google Drive 的每日邮件简报。” - - -### 自托管 - -在您自己的基础设施上运行 SurfSense,实现完全的数据控制和隐私保护。 - -**前置条件:** 需要安装并运行 [Docker Desktop](https://www.docker.com/products/docker-desktop/)。 - -#### Linux/MacOS 用户: +Linux/macOS: ```bash curl -fsSL https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.sh | bash ``` -#### Windows 用户: +Windows: -```powershell +```bash irm https://raw.githubusercontent.com/MODSetter/SurfSense/main/docker/scripts/install.ps1 | iex ``` -安装脚本会自动配置 [Watchtower](https://github.com/nicholas-fedor/watchtower) 以实现每日自动更新。如需跳过,请添加 `--no-watchtower` 参数。 +安装脚本会自动配置 [Watchtower](https://github.com/nicholas-fedor/watchtower) 以实现每日自动更新。如需跳过,请加上 `--no-watchtower` 参数。关于 Docker Compose、手动安装及其他部署方式,请参阅[文档](https://www.surfsense.com/docs/)。 -如需 Docker Compose、手动安装及其他部署方式,请查看[文档](https://www.surfsense.com/docs/)。 +## 开箱即用的其他能力 -### 桌面应用 +让 SurfSense 成为领先的开源 NotebookLM 替代品的那套研究工作区依然都在,而且你的智能体收集到的一切都会汇入其中。 -SurfSense 还提供桌面应用,将 AI 助手带到您计算机上的每个应用程序中。从[最新版本](https://github.com/MODSetter/SurfSense/releases/latest)下载。 +**知识库** -桌面应用包含以下强大功能: +- 上传 PDF、Office 文档、图片和音频,或同步 **Google Drive、OneDrive 和 Dropbox**。支持 50 多种文件格式。 +- 混合语义与全文搜索,提供 Perplexity 风格的带引用回答。 +- AI 文件整理功能按来源、日期和主题自动归类文档。 -- **General Assist** — 通过全局快捷键从任何应用程序即时启动 SurfSense。 -- **Quick Assist** — 在任何位置选中文本,然后让 AI 解释、改写或对其执行操作。 -- **Screenshot Assist** — 在屏幕上框选区域并附加到聊天,让回复基于您的知识库。 -- **Watch Local Folder** — 监视本地文件夹,自动将文件更改同步到您的知识库。**Pro tip:** 将其指向您的 Obsidian vault,让笔记在 SurfSense 中随时可搜索。 +

与你的 PDF 和文档对话

-所有功能均基于您选择的搜索空间运行,确保回答始终以您自己的数据为依据。 +**成果工作室** -### 如何实时协作(Beta) +- AI 报告生成器,可导出为 PDF、DOCX、HTML、LaTeX、EPUB、ODT 或纯文本。 +- 20 秒内基于任意文档或文件夹生成双主持人 AI 播客。 +- 可编辑的幻灯片、带旁白的视频概览以及 AI 图像生成。 -1. 前往成员管理页面并创建邀请。 +

AI 报告生成器

+ +**团队协作** + +- 支持评论和提及的实时协作 AI 聊天。 +- 基于角色的访问控制(RBAC),提供所有者、管理员、编辑者和查看者角色。 + +

协作 AI 聊天

+ +**桌面应用** + +在电脑上的每个应用中获得原生 AI 辅助。从[最新版本](https://github.com/MODSetter/SurfSense/releases/latest)下载。 + +- **General Assist**:通过全局快捷键在任意应用中唤起 SurfSense。 +- **Quick Assist**:在任意位置选中文本,让 AI 解释、改写或据此执行操作。 +- **Screenshot Assist**:截取屏幕上任意区域,向 AI 提问。 +- **Watch Local Folder**:把本地文件夹自动同步到知识库。将它指向你的 Obsidian 仓库,让笔记随时可搜索。 + +

Quick Assist

+ +**无供应商锁定** + +- 通过 OpenAI 规范和 LiteLLM 支持 100 多种 LLM,包括 GPT-5.5、Claude Sonnet 5 和 Gemini 3.1 Pro。 +- 支持 6,000 多种嵌入模型和所有主流重排序器。 +- 完整支持本地和私有 LLM(vLLM、Ollama),你的数据始终属于你。 + +## 视频智能体示例 + +https://github.com/user-attachments/assets/012a7ffa-6f76-4f06-9dda-7632b470057a + +## 播客智能体示例 + +https://github.com/user-attachments/assets/a0a16566-6967-4374-ac51-9b3e07fbecd7 + +## 如何进行实时协作(Beta) + +1. 进入成员管理页面并创建邀请。

邀请成员

-2. 队友加入后,该 SearchSpace 变为共享。 +2. 队友加入后,该工作区即变为共享。

邀请加入流程

-3. 将聊天设为共享。 - -

设为共享聊天

- -4. 您的团队现在可以实时聊天。 - -

实时聊天

- -5. 添加评论以标记队友。 +3. 将聊天设为共享,即可与团队实时协作,并通过评论标记队友。

实时评论

-## SurfSense vs Google NotebookLM +## SurfSense 对比 Google NotebookLM + +还在把我们当作 NotebookLM 替代品来比较?这里是坦诚的对比。 | 功能 | Google NotebookLM | SurfSense | |---------|-------------------|-----------| -| **每个笔记本的来源数** | 50(免费)到 600(Ultra,$249.99/月) | 无限制 | -| **笔记本数量** | 100(免费)到 500(付费方案) | 无限制 | -| **来源大小限制** | 500,000 词 / 200MB 每个来源 | 无限制 | -| **定价** | 免费版可用;Pro $19.99/月,Ultra $249.99/月 | 免费开源,在自己的基础设施上自托管 | -| **LLM 支持** | 仅 Google Gemini | 100+ LLM,通过 OpenAI spec 和 LiteLLM | -| **嵌入模型** | 仅 Google | 6,000+ 嵌入模型,所有主流重排序器 | -| **本地 / 私有 LLM** | 不可用 | 完整支持(vLLM、Ollama)- 您的数据由您掌控 | -| **可自托管** | 否 | 是 - Docker 一行命令或完整 Docker Compose | +| **面向智能体的实时市场数据** | 无 | 通过 REST API 和 MCP 提供 Reddit、YouTube、Google Maps、Google Search 和网页爬取连接器 | +| **MCP 服务器** | 无 | 每个连接器都作为原生智能体工具暴露,还可自带 MCP 服务器并使用一键 OAuth 应用 | +| **每个笔记本的来源数** | 50 个(免费版)至 600 个(Ultra 版,249.99 美元/月) | 无限制 | +| **笔记本数量** | 100 个(免费版)至 500 个(付费档位) | 无限制 | +| **来源大小限制** | 每个来源 50 万字 / 200MB | 无限制 | +| **定价** | 免费档;Pro 19.99 美元/月,Ultra 249.99 美元/月 | 自托管免费且开源;云端按量付费,附赠 5 美元免费额度 | +| **LLM 支持** | 仅 Google Gemini | 通过 OpenAI 规范和 LiteLLM 支持 100 多种 LLM | +| **嵌入模型** | 仅 Google | 6,000 多种嵌入模型,所有主流重排序器 | +| **本地 / 私有 LLM** | 不支持 | 完整支持(vLLM、Ollama),你的数据始终属于你 | +| **可自托管** | 否 | 是,Docker 一行命令或完整 Docker Compose | | **开源** | 否 | 是 | -| **外部连接器** | Google Drive、YouTube、网站 | 27+ 连接器 - 搜索引擎、Google Drive、OneDrive、Dropbox、Slack、Teams、Jira、Notion、GitHub、Discord 等[更多](#外部数据源) | -| **文件格式支持** | PDF、Docs、Slides、Sheets、CSV、Word、EPUB、图像、网页 URL、YouTube | 50+ 格式 - 文档、图像、视频,通过 LlamaCloud、Unstructured 或 Docling(本地) | -| **搜索** | 语义搜索 | 混合搜索 - 语义 + 全文搜索,结合层次化索引和倒数排名融合 | -| **引用回答** | 是 | 是 - Perplexity 风格的引用回答 | -| **代理架构** | 否 | 是 - 基于 [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) 构建,支持规划、子代理和文件系统访问 | -| **实时多人协作** | 共享笔记本,支持查看者/编辑者角色(无实时聊天) | RBAC 角色控制(所有者/管理员/编辑者/查看者),实时聊天和评论线程 | -| **视频生成** | 通过 Veo 3 的电影级视频概览(仅 Ultra) | 可用(NotebookLM 在此方面更好,正在积极改进) | -| **演示文稿生成** | 更美观的幻灯片但不可编辑 | 创建可编辑的幻灯片式演示文稿 | -| **播客生成** | 可自定义主持人和语言的音频概览 | 可用,支持多种 TTS 提供商(NotebookLM 在此方面更好,正在积极改进) | -| **AI 自动化与智能体** | 否 | 定时 AI 工作流、新文档的事件触发,以及通过聊天构建的无代码自动化,支持回写到 Notion、Slack、Linear 和 Jira | -| **桌面应用** | 否 | 原生应用,包含 General Assist、Quick Assist、Screenshot Assist 和本地文件夹同步 | -| **浏览器扩展** | 否 | 跨浏览器扩展,保存任何网页,包括需要身份验证的页面 | - -
-外部数据源完整列表 - - -搜索引擎(SearXNG、Tavily、LinkUp、Baidu Search)· Google Drive · OneDrive · Dropbox · Slack · Microsoft Teams · Linear · Jira · ClickUp · Confluence · BookStack · Notion · Gmail · YouTube 视频 · GitHub · Discord · Airtable · Google Calendar · Luma · Circleback · Elasticsearch · Obsidian,更多即将推出。 - -
- +| **知识库来源** | Google Drive、YouTube、网站 | 文件上传、Google Drive、OneDrive、Dropbox、本地文件夹同步以及爬取的网页 | +| **文件格式支持** | PDF、Docs、Slides、Sheets、CSV、Word、EPUB、图片、网页 URL、YouTube | 50 多种格式:文档、图片、视频,通过 LlamaCloud、Unstructured 或 Docling(本地)解析 | +| **搜索** | 语义搜索 | 混合语义 + 全文搜索,带分层索引和倒数排名融合 | +| **带引用的回答** | 有 | 有,Perplexity 风格的引用回答 | +| **智能体架构** | 无 | 有,由 [LangChain Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) 驱动,具备规划、子智能体和文件系统访问能力 | +| **AI 自动化与智能体** | 无 | 定时工作流、事件触发以及通过聊天构建的无代码自动化,可写回 Notion、Slack、Linear 和 Jira | +| **实时多人协作** | 共享笔记本,仅有查看者/编辑者角色(无实时聊天) | RBAC 提供所有者 / 管理员 / 编辑者 / 查看者角色,支持实时聊天和评论串 | +| **视频生成** | 通过 Veo 3 生成电影级视频概览(仅 Ultra 版) | 已提供(此项 NotebookLM 更强,我们正在积极改进) | +| **演示文稿生成** | 幻灯片更美观但不可编辑 | 可编辑的幻灯片式演示文稿 | +| **播客生成** | 音频概览,支持自定义主持人和语言 | 已提供,支持多种 TTS 服务商(此项 NotebookLM 更强,我们正在积极改进) | +| **桌面应用** | 无 | 原生应用,包含 General Assist、Quick Assist、Screenshot Assist 和本地文件夹同步 | ## 功能请求与未来规划 +**SurfSense 正在积极开发中。**虽然它尚未达到生产就绪状态,但你可以帮助我们加快进度。 -**SurfSense 正在积极开发中。** 虽然它还未达到生产就绪状态,但您可以帮助我们加快进度。 - -加入 [SurfSense Discord](https://discord.gg/ejRNvftDp9) 一起塑造 SurfSense 的未来! +加入 [SurfSense Discord](https://discord.gg/ejRNvftDp9),一起塑造 SurfSense 的未来! ## 路线图 -随时了解我们的开发进度和即将推出的功能! -查看我们的公开路线图并贡献您的想法或反馈: +随时了解我们的开发进度和即将推出的功能。查看我们的公开路线图,贡献你的想法或反馈: -**路线图讨论:** [SurfSense 2026 Roadmap](https://github.com/MODSetter/SurfSense/discussions/565) +**路线图讨论:**[SurfSense 2026 Roadmap](https://github.com/MODSetter/SurfSense/discussions/565) -**看板:** [SurfSense Project Board](https://github.com/users/MODSetter/projects/3) +**看板:**[SurfSense Project Board](https://github.com/users/MODSetter/projects/3) +## 参与贡献 -## 贡献 +欢迎一切形式的贡献,从点星标、报告缺陷到后端改进。请参阅 [CONTRIBUTING.md](CONTRIBUTING.md) 开始参与。 -欢迎所有贡献,从 Star 和 Bug 报告到后端改进。请参阅 [CONTRIBUTING.md](CONTRIBUTING.md) 开始贡献。 - -感谢所有 Surfers: +感谢所有 Surfer: diff --git a/VERSION b/VERSION index f092e2be2..d788d4335 100644 --- a/VERSION +++ b/VERSION @@ -1 +1 @@ -0.0.30 +0.0.31 diff --git a/docker/.env.example b/docker/.env.example index 18142c614..5daa0f3e8 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -333,16 +333,6 @@ STT_SERVICE=local/base # GATEWAY_DISCORD_ENABLED=FALSE # GATEWAY_DISCORD_REDIRECT_URI=http://localhost:3929/api/v1/gateway/discord/callback -# ------------------------------------------------------------------------------ -# SearXNG (bundled web search, works out of the box with no config needed) -# ------------------------------------------------------------------------------ -# SearXNG provides web search to all search spaces automatically. -# To access the SearXNG UI directly in dev/deps-only compose: http://localhost:8888 -# To disable the service entirely: docker compose up --scale searxng=0 -# To point at your own SearXNG instance instead of the bundled one: -# SEARXNG_DEFAULT_HOST=http://your-searxng:8080 -# SEARXNG_SECRET=surfsense-searxng-secret - # ------------------------------------------------------------------------------ # Daytona Sandbox (optional cloud code execution for the deep agent) # ------------------------------------------------------------------------------ @@ -435,6 +425,31 @@ SURFSENSE_ENABLE_DOOM_LOOP=true # ETL_CREDIT_BILLING_ENABLED=FALSE # MICROS_PER_PAGE=1000 +# Debit the credit wallet per *successful* web crawl. Default FALSE keeps +# crawling effectively free for self-hosted installs. Price is config-driven: +# WEB_CRAWL_MICROS_PER_SUCCESS = round(USD_per_1000_crawls * 1_000) +# 2000 == $2/1000 (default) | 1000 == $1/1000. Captcha solves bill as a +# separate per-attempt unit (independent flag). +# WEB_CRAWL_CREDIT_BILLING_ENABLED=FALSE +# WEB_CRAWL_MICROS_PER_SUCCESS=2000 +# WEB_CRAWL_CAPTCHA_BILLING_ENABLED=FALSE +# WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE=3000 + +# Debit the credit wallet per *item returned* by the platform-native scrapers +# (Reddit, Google Search, Google Maps, YouTube). Default FALSE keeps scraping +# effectively free for self-hosted installs. Each rate is micro-USD per item, +# config-driven: = round(USD_per_1000_items * 1_000). Defaults sit +# at/above Apify's first-party actor rates (we charge no subscription tiers, +# start fees, or separate proxy/compute billing). google_maps.scrape is +# dual-metered (places + attached reviews). +# PLATFORM_SCRAPE_BILLING_ENABLED=FALSE +# REDDIT_SCRAPE_MICROS_PER_ITEM=3500 +# GOOGLE_SEARCH_MICROS_PER_SERP=5500 +# GOOGLE_MAPS_MICROS_PER_PLACE=3500 +# GOOGLE_MAPS_MICROS_PER_REVIEW=1500 +# YOUTUBE_MICROS_PER_VIDEO=2500 +# YOUTUBE_MICROS_PER_COMMENT=1500 + # Safety ceiling on per-call premium reservation, in micro-USD ($1.00 default). # QUOTA_MAX_RESERVE_MICROS=1000000 @@ -467,12 +482,37 @@ NOLOGIN_MODE_ENABLED=FALSE # Connector indexing lock TTL in seconds (default: 28800 = 8 hours) # CONNECTOR_INDEXING_LOCK_TTL_SECONDS=28800 -# Residential proxy for web crawling -# RESIDENTIAL_PROXY_USERNAME= -# RESIDENTIAL_PROXY_PASSWORD= -# RESIDENTIAL_PROXY_HOSTNAME= -# RESIDENTIAL_PROXY_LOCATION= -# RESIDENTIAL_PROXY_TYPE=1 +# Proxy provider selection: "custom" (default) or "dataimpulse". +# PROXY_PROVIDER=custom + +# Proxy endpoint(s), shared across providers. PROXY_URL is a single full URL used +# by every provider (for "dataimpulse", country is a "__cr." username +# suffix the provider parses for geoip). PROXY_URLS is a comma-separated pool the +# "custom" provider rotates client-side. Leave unset to disable proxying. +# PROXY_URL=http://user:pass@host:port +# PROXY_URLS=http://user:pass@host1:port,http://user:pass@host2:port + +# Captcha solving — last-resort bypass tier via captchatools. Only fires on the +# stealth browser tier when a sitekey is detected AND the flag is TRUE. +# Cloudflare Turnstile is already solved free in-framework. Off by default. +# NOTE: automated solving may violate a target site's ToS — opt-in, public +# data only. See surfsense_backend/.env.example for the full option docs. +# CAPTCHA_SOLVING_ENABLED=FALSE +# CAPTCHA_SOLVER_PROVIDER=capsolver +# CAPTCHA_SOLVER_API_KEY= +# CAPTCHA_MAX_ATTEMPTS_PER_URL=1 +# CAPTCHA_SOLVE_TIMEOUT_S=120 +# CAPTCHA_TYPE_DEFAULT=v2 +# CAPTCHA_V3_MIN_SCORE=0.7 +# CAPTCHA_V3_ACTION=verify + +# Stealth hardening levers on the stealth browser tier. Defaults preserve +# current behavior; see surfsense_backend/.env.example for per-flag docs. +# CRAWL_GEOIP_MATCH_ENABLED=FALSE +# CRAWL_BLOCK_WEBRTC=TRUE +# CRAWL_HIDE_CANVAS=FALSE +# CRAWL_GOOGLE_SEARCH_REFERER=TRUE +# CRAWL_DNS_OVER_HTTPS=FALSE # ============================================================================== # DEV / DEPS-ONLY COMPOSE OVERRIDES @@ -489,9 +529,6 @@ NOLOGIN_MODE_ENABLED=FALSE # -- Redis exposed port (dev/deps-only only; Redis is internal-only in prod) -- # REDIS_PORT=6379 -# -- SearXNG exposed port (dev/deps-only only; internal-only in prod) -- -# SEARXNG_PORT=8888 - # -- WhatsApp bridge exposed port (dev/hybrid only; prod keeps it Docker-internal) -- # WHATSAPP_BRIDGE_PORT=9929 diff --git a/docker/docker-compose.deps-only.yml b/docker/docker-compose.deps-only.yml index e70e126bb..6bd21eed3 100644 --- a/docker/docker-compose.deps-only.yml +++ b/docker/docker-compose.deps-only.yml @@ -1,7 +1,7 @@ # ============================================================================= # SurfSense — Dependencies only (no backend / frontend / Celery images) # ============================================================================= -# Postgres, Redis, SearXNG, pgAdmin, Zero — run API + Next + Celery on the host. +# Postgres, Redis, pgAdmin, Zero — run API + Next + Celery on the host. # Celery is not Dockerized here: use `uv run` from surfsense_backend/ (no extra # backend image build just for workers). # @@ -9,7 +9,7 @@ # docker compose -f docker/docker-compose.deps-only.yml up -d # # Compose variable substitution uses `docker/.env` (copy from .env.example). -# Bind mounts use ./postgresql.conf and ./searxng in this directory. +# Bind mounts use ./postgresql.conf in this directory. # # Local Celery (from surfsense_backend/, after Redis is up): # uv run celery -A celery_worker.celery_app worker --loglevel=info --concurrency=1 --pool=solo --queues=surfsense,surfsense.connectors @@ -17,7 +17,6 @@ # # Host setup: # - Backend .env: DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:5432/surfsense -# - Backend .env: SEARXNG_DEFAULT_HOST=http://localhost:${SEARXNG_PORT:-8888} # - Backend .env: CELERY_BROKER_URL / REDIS_APP_URL → redis://localhost:6379/0 # - Web .env: NEXT_PUBLIC_ZERO_CACHE_URL=http://localhost:${ZERO_CACHE_PORT:-4848} # @@ -80,20 +79,6 @@ services: timeout: 5s retries: 5 - searxng: - image: searxng/searxng:2026.3.13-3c1f68c59 - ports: - - "${SEARXNG_PORT:-8888}:8080" - volumes: - - ./searxng:/etc/searxng - environment: - - SEARXNG_SECRET=${SEARXNG_SECRET:-surfsense-searxng-secret} - healthcheck: - test: ["CMD", "wget", "--spider", "-q", "http://localhost:8080/healthz"] - interval: 10s - timeout: 5s - retries: 5 - # NOTE: zero-cache requires the `zero_publication` Postgres publication to # exist before it starts. In this deps-only stack there is no backend # container to run migrations, so you must run `uv run alembic upgrade head` diff --git a/docker/docker-compose.dev.yml b/docker/docker-compose.dev.yml index 9660690ea..d3c3bbdae 100644 --- a/docker/docker-compose.dev.yml +++ b/docker/docker-compose.dev.yml @@ -85,20 +85,6 @@ services: - "${OTEL_TEMPO_PORT:-3200}:3200" restart: unless-stopped - searxng: - image: searxng/searxng:2026.3.13-3c1f68c59 - ports: - - "${SEARXNG_PORT:-8888}:8080" - volumes: - - ./searxng:/etc/searxng - environment: - - SEARXNG_SECRET=${SEARXNG_SECRET:-surfsense-searxng-secret} - healthcheck: - test: ["CMD", "wget", "--spider", "-q", "http://localhost:8080/healthz"] - interval: 10s - timeout: 5s - retries: 5 - backend: build: *backend-build ports: @@ -125,7 +111,6 @@ services: - LANGSMITH_TRACING=false - AUTH_TYPE=${AUTH_TYPE:-LOCAL} - NEXT_FRONTEND_URL=${NEXT_FRONTEND_URL:-http://localhost:3000} - - SEARXNG_DEFAULT_HOST=${SEARXNG_DEFAULT_HOST:-http://searxng:8080} - WHATSAPP_BRIDGE_URL=${WHATSAPP_BRIDGE_URL:-http://whatsapp-bridge:9929} # Daytona Sandbox – uncomment and set credentials to enable cloud code execution # - DAYTONA_SANDBOX_ENABLED=TRUE @@ -138,8 +123,6 @@ services: condition: service_healthy redis: condition: service_healthy - searxng: - condition: service_healthy migrations: condition: service_completed_successfully healthcheck: @@ -186,7 +169,6 @@ services: - CELERY_TASK_DEFAULT_QUEUE=surfsense - PYTHONPATH=/app - FILE_STORAGE_LOCAL_PATH=/app/.local_object_store - - SEARXNG_DEFAULT_HOST=${SEARXNG_DEFAULT_HOST:-http://searxng:8080} - SERVICE_ROLE=worker depends_on: db: diff --git a/docker/docker-compose.watch-e2e.yml b/docker/docker-compose.watch-e2e.yml new file mode 100644 index 000000000..987580477 --- /dev/null +++ b/docker/docker-compose.watch-e2e.yml @@ -0,0 +1,52 @@ +# ============================================================================= +# SurfSense — Isolated deps for the watch (Phase 6) manual E2E +# ============================================================================= +# Fresh Postgres + Redis ONLY, with their own project name, volumes, and host +# ports so they never collide with the day-to-day `surfsense-deps` stack. +# +# Backend + Celery run on the HOST (tests/e2e/run_backend.py / run_celery.py) +# pointed at these ports via env: +# DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:5442/surfsense +# CELERY_BROKER_URL / CELERY_RESULT_BACKEND / REDIS_APP_URL=redis://localhost:6389/0 +# +# Up: docker compose -p surfsense-watch -f docker/docker-compose.watch-e2e.yml up -d +# Down: docker compose -p surfsense-watch -f docker/docker-compose.watch-e2e.yml down -v +# ============================================================================= + +name: surfsense-watch + +services: + db: + image: pgvector/pgvector:pg17 + ports: + - "5442:5432" + volumes: + - postgres_data:/var/lib/postgresql/data + environment: + - POSTGRES_USER=postgres + - POSTGRES_PASSWORD=postgres + - POSTGRES_DB=surfsense + healthcheck: + test: ["CMD-SHELL", "pg_isready -U postgres -d surfsense"] + interval: 3s + timeout: 5s + retries: 20 + + redis: + image: redis:8-alpine + ports: + - "6389:6379" + volumes: + - redis_data:/data + command: redis-server --appendonly yes + healthcheck: + test: ["CMD", "redis-cli", "ping"] + interval: 3s + timeout: 5s + retries: 20 + +volumes: + postgres_data: + name: surfsense-watch-postgres + redis_data: + name: surfsense-watch-redis diff --git a/docker/docker-compose.yml b/docker/docker-compose.yml index 3b47d6670..fe878858a 100644 --- a/docker/docker-compose.yml +++ b/docker/docker-compose.yml @@ -81,19 +81,6 @@ services: # timeout: 5s # retries: 3 - searxng: - image: searxng/searxng:2026.3.13-3c1f68c59 - volumes: - - ./searxng:/etc/searxng - environment: - SEARXNG_SECRET: ${SEARXNG_SECRET:-surfsense-searxng-secret} - restart: unless-stopped - healthcheck: - test: ["CMD", "wget", "--spider", "-q", "http://localhost:8080/healthz"] - interval: 10s - timeout: 5s - retries: 5 - # Single public entry point for the Docker stack. Comment this service out # only if you front SurfSense with your own reverse proxy. proxy: @@ -146,7 +133,6 @@ services: FILE_STORAGE_LOCAL_PATH: /app/.local_object_store NEXT_FRONTEND_URL: ${NEXT_FRONTEND_URL:-${SURFSENSE_PUBLIC_URL:-http://localhost:${LISTEN_HTTP_PORT:-3929}}} BACKEND_URL: ${BACKEND_URL:-${SURFSENSE_PUBLIC_URL:-http://localhost:${LISTEN_HTTP_PORT:-3929}}} - SEARXNG_DEFAULT_HOST: ${SEARXNG_DEFAULT_HOST:-http://searxng:8080} WHATSAPP_BRIDGE_URL: ${WHATSAPP_BRIDGE_URL:-http://whatsapp-bridge:9929} # Daytona Sandbox – uncomment and set credentials to enable cloud code execution # DAYTONA_SANDBOX_ENABLED: "TRUE" @@ -161,8 +147,6 @@ services: condition: service_healthy redis: condition: service_healthy - searxng: - condition: service_healthy migrations: condition: service_completed_successfully restart: unless-stopped @@ -210,7 +194,6 @@ services: CELERY_TASK_DEFAULT_QUEUE: surfsense PYTHONPATH: /app FILE_STORAGE_LOCAL_PATH: /app/.local_object_store - SEARXNG_DEFAULT_HOST: ${SEARXNG_DEFAULT_HOST:-http://searxng:8080} SERVICE_ROLE: worker depends_on: db: diff --git a/docker/scripts/install.ps1 b/docker/scripts/install.ps1 index 761fef80e..144944fe7 100644 --- a/docker/scripts/install.ps1 +++ b/docker/scripts/install.ps1 @@ -329,7 +329,6 @@ Write-Step "Downloading SurfSense files" Write-Info "Installation directory: $InstallDir" New-Item -ItemType Directory -Path "$InstallDir\scripts" -Force | Out-Null -New-Item -ItemType Directory -Path "$InstallDir\searxng" -Force | Out-Null New-Item -ItemType Directory -Path "$InstallDir\proxy" -Force | Out-Null $Files = @( @@ -339,8 +338,6 @@ $Files = @( @{ Src = "docker/proxy/Caddyfile"; Dest = "proxy/Caddyfile" } @{ Src = "docker/postgresql.conf"; Dest = "postgresql.conf" } @{ Src = "docker/scripts/migrate-database.ps1"; Dest = "scripts/migrate-database.ps1" } - @{ Src = "docker/searxng/settings.yml"; Dest = "searxng/settings.yml" } - @{ Src = "docker/searxng/limiter.toml"; Dest = "searxng/limiter.toml" } ) foreach ($f in $Files) { diff --git a/docker/scripts/install.sh b/docker/scripts/install.sh index f9660b132..03f38ce38 100644 --- a/docker/scripts/install.sh +++ b/docker/scripts/install.sh @@ -332,7 +332,6 @@ SELECTED_VARIANT=$(resolve_variant) step "Downloading SurfSense files" info "Installation directory: ${INSTALL_DIR}" mkdir -p "${INSTALL_DIR}/scripts" -mkdir -p "${INSTALL_DIR}/searxng" mkdir -p "${INSTALL_DIR}/proxy" FILES=( @@ -342,8 +341,6 @@ FILES=( "docker/proxy/Caddyfile:proxy/Caddyfile" "docker/postgresql.conf:postgresql.conf" "docker/scripts/migrate-database.sh:scripts/migrate-database.sh" - "docker/searxng/settings.yml:searxng/settings.yml" - "docker/searxng/limiter.toml:searxng/limiter.toml" ) for entry in "${FILES[@]}"; do diff --git a/docker/searxng/limiter.toml b/docker/searxng/limiter.toml deleted file mode 100644 index dce84146f..000000000 --- a/docker/searxng/limiter.toml +++ /dev/null @@ -1,5 +0,0 @@ -[botdetection.ip_limit] -link_token = false - -[botdetection.ip_lists] -pass_ip = ["0.0.0.0/0"] diff --git a/docker/searxng/settings.yml b/docker/searxng/settings.yml deleted file mode 100644 index 0b805b6aa..000000000 --- a/docker/searxng/settings.yml +++ /dev/null @@ -1,90 +0,0 @@ -use_default_settings: - engines: - remove: - - ahmia - - torch - - qwant - - qwant news - - qwant images - - qwant videos - - mojeek - - mojeek images - - mojeek news - -server: - secret_key: "override-me-via-env" - limiter: false - image_proxy: false - method: "GET" - default_http_headers: - X-Robots-Tag: "noindex, nofollow" - -search: - formats: - - html - - json - default_lang: "auto" - autocomplete: "" - safe_search: 0 - ban_time_on_fail: 5 - max_ban_time_on_fail: 120 - suspended_times: - SearxEngineAccessDenied: 3600 - SearxEngineCaptcha: 3600 - SearxEngineTooManyRequests: 600 - cf_SearxEngineCaptcha: 7200 - cf_SearxEngineAccessDenied: 3600 - recaptcha_SearxEngineCaptcha: 7200 - -ui: - static_use_hash: true - -outgoing: - request_timeout: 12.0 - max_request_timeout: 20.0 - pool_connections: 100 - pool_maxsize: 20 - enable_http2: true - extra_proxy_timeout: 10 - retries: 1 - # Uncomment and set your residential proxy URL to route search engine requests through it. - # Format: http://:@:/ - # - # proxies: - # all://: - # - http://user:pass@proxy-host:port/ - -engines: - - name: google - disabled: false - weight: 1.2 - retry_on_http_error: [429, 503] - - name: duckduckgo - disabled: false - weight: 1.1 - retry_on_http_error: [429, 503] - - name: brave - disabled: false - weight: 1.0 - retry_on_http_error: [429, 503] - - name: bing - disabled: false - weight: 0.9 - retry_on_http_error: [429, 503] - - name: wikipedia - disabled: false - weight: 0.8 - - name: stackoverflow - disabled: false - weight: 0.7 - - name: yahoo - disabled: false - weight: 0.7 - retry_on_http_error: [429, 503] - - name: wikidata - disabled: false - weight: 0.6 - - name: currency - disabled: false - - name: ddg definitions - disabled: false diff --git a/skills-lock.json b/skills-lock.json index f722ec0d3..b0e28fa17 100644 --- a/skills-lock.json +++ b/skills-lock.json @@ -6,6 +6,12 @@ "sourceType": "github", "computedHash": "f96aa6f7d8dd982a866ac090c1770e39cd0a01c63c9bc315895d3c210f80b393" }, + "animation-vocabulary": { + "source": "emilkowalski/skills", + "sourceType": "github", + "skillPath": "skills/animation-vocabulary/SKILL.md", + "computedHash": "280c6688ef2568ad92f40c4dc638f0cc5cde0f49bdd6debd097410aa9945f44f" + }, "backlink-analyzer": { "source": "aaron-he-zhu/seo-geo-claude-skills", "sourceType": "github", @@ -36,6 +42,12 @@ "sourceType": "github", "computedHash": "e97547ac36ea8e59a65bdfdda25b8d130cb7f5e2cf13dac56fd01f24e74718a5" }, + "emil-design-eng": { + "source": "emilkowalski/skills", + "sourceType": "github", + "skillPath": "skills/emil-design-eng/SKILL.md", + "computedHash": "ac3fc5b4e206488ffc408a2806f829bb2e5eaf518fded09be34790685c2b3a0d" + }, "entity-optimizer": { "source": "aaron-he-zhu/seo-geo-claude-skills", "sourceType": "github", @@ -87,6 +99,12 @@ "sourceType": "github", "computedHash": "2d4c9a44056713d946481031cc00b3113b6055af6f4bea0cfd8dcb8a9d5abbf9" }, + "review-animations": { + "source": "emilkowalski/skills", + "sourceType": "github", + "skillPath": "skills/review-animations/SKILL.md", + "computedHash": "57c681344448379fbec8c11b45e355b70799998427240662318d017f292571bd" + }, "schema-markup-generator": { "source": "aaron-he-zhu/seo-geo-claude-skills", "sourceType": "github", diff --git a/surfsense_backend/.env.example b/surfsense_backend/.env.example index a1d410eef..7e87c186d 100644 --- a/surfsense_backend/.env.example +++ b/surfsense_backend/.env.example @@ -55,11 +55,6 @@ WHATSAPP_WEBHOOK_VERIFY_TOKEN= WHATSAPP_WEBHOOK_APP_SECRET= WHATSAPP_BRIDGE_URL=http://whatsapp-bridge:9929 -# Platform Web Search (SearXNG) -# Set this to enable built-in web search. Docker Compose sets it automatically. -# Only uncomment if running the backend outside Docker (e.g. uvicorn on host). -# SEARXNG_DEFAULT_HOST=http://localhost:8888 - # Periodic task interval # # Run every minute (default) # SCHEDULE_CHECKER_INTERVAL=1m @@ -257,6 +252,41 @@ DEFAULT_CREDIT_MICROS_BALANCE=5000000 ETL_CREDIT_BILLING_ENABLED=FALSE MICROS_PER_PAGE=1000 +# Debit the credit wallet per *successful* web crawl. Default FALSE keeps +# crawling effectively free for self-hosted/OSS installs; hosted sets TRUE. +# Price is fully config-driven (the only source of truth, no hardcoded rate): +# WEB_CRAWL_MICROS_PER_SUCCESS = round(USD_per_1000_crawls * 1_000) +# 2000 == $2 / 1000 crawls (default) | 1000 == $1/1000 | 500 == $0.50/1000 +# Retune anytime with just an env change + restart (no code/migration). +# WEB_CRAWL_CREDIT_BILLING_ENABLED=FALSE +# WEB_CRAWL_MICROS_PER_SUCCESS=2000 + +# Phase 3d: bill captcha solves as a SEPARATE per-attempt unit (the solver +# charges per attempt regardless of crawl success). Independent of the crawl +# flag above. Price config-driven (no hardcoded rate): +# WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE = round(USD_per_1000_solves * 1_000) +# 3000 == $3 / 1000 solves (default) | 5000 == $5/1000 +# Set with margin over your solver vendor's per-attempt price. +# WEB_CRAWL_CAPTCHA_BILLING_ENABLED=FALSE +# WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE=3000 + +# Debit the credit wallet per *item returned* by the platform-native scrapers +# (Reddit, Google Search, Google Maps, YouTube). Default FALSE keeps scraping +# effectively free for self-hosted/OSS installs; hosted deployments set TRUE. +# Each rate is micro-USD per item, fully config-driven (no hardcoded rate): +# = round(USD_per_1000_items * 1_000) +# 3500 == $3.50/1000 | 5000 == $5/1000 | 2000 == $2/1000 +# Defaults sit at/above Apify's first-party actor rates (Jul 2026); justified +# because we charge no subscription tiers, no per-run start fees, and no +# separate proxy/compute/storage billing. Retune anytime via env + restart. +# PLATFORM_SCRAPE_BILLING_ENABLED=FALSE +# REDDIT_SCRAPE_MICROS_PER_ITEM=3500 +# GOOGLE_SEARCH_MICROS_PER_SERP=5500 +# GOOGLE_MAPS_MICROS_PER_PLACE=3500 +# GOOGLE_MAPS_MICROS_PER_REVIEW=1500 +# YOUTUBE_MICROS_PER_VIDEO=2500 +# YOUTUBE_MICROS_PER_COMMENT=1500 + # Low-balance warning threshold (micro-USD), surfaced to the UI. Default $0.50. CREDIT_LOW_BALANCE_WARNING_MICROS=500000 @@ -313,17 +343,57 @@ TURNSTILE_SECRET_KEY= # Proxy provider selection. Selects a ProxyProvider implementation registered in -# app/utils/proxy/registry.py. Default: "anonymous_proxies". Add new vendors there. -# PROXY_PROVIDER=anonymous_proxies +# app/utils/proxy/registry.py. Default: "custom". Options: "custom", "dataimpulse". +# PROXY_PROVIDER=custom -# Residential Proxy Configuration (anonymous-proxies.net) -# Used for web crawling, link previews, and YouTube transcript fetching to avoid IP bans. -# Consumed by the "anonymous_proxies" provider. Leave commented out to disable proxying. -# RESIDENTIAL_PROXY_USERNAME=your_proxy_username -# RESIDENTIAL_PROXY_PASSWORD=your_proxy_password -# RESIDENTIAL_PROXY_HOSTNAME=rotating.dnsproxifier.com:31230 -# RESIDENTIAL_PROXY_LOCATION= -# RESIDENTIAL_PROXY_TYPE=1 +# Proxy endpoint(s), shared across providers — PROXY_PROVIDER picks the behavior, +# not a different env name. Used for web crawling, link previews, and YouTube +# transcript fetching to avoid IP bans. Leave unset to disable proxying. +# +# PROXY_URL: a single full http://user:pass@host:port endpoint (used by every +# provider). For "dataimpulse", country is a "__cr." username suffix the +# provider parses for geoip-match, e.g.: +# PROXY_URL=http://your_token__cr.us:your_password@gw.dataimpulse.com:823 +# PROXY_URLS: a comma-separated pool the "custom" provider rotates client-side +# (cyclic); server-side-rotating gateways ignore it. +# PROXY_URL=http://user:pass@host:port +# PROXY_URLS=http://user:pass@host1:port,http://user:pass@host2:port + +# ===================================================================== +# Captcha solving (Phase 3d) — LAST-resort bypass tier via captchatools. +# Only fires on the stealth browser tier when a sitekey is detected AND +# CAPTCHA_SOLVING_ENABLED=TRUE. Cloudflare Turnstile is already solved free +# in-framework (no config needed). Off by default => zero attempts, zero cost. +# NOTE: automated solving may violate a target site's ToS — opt-in, public +# data only (no logged-in bypass). captchatools is itself the vendor registry. +# CAPTCHA_SOLVING_ENABLED=FALSE +# solving_site: capmonster | 2captcha | anticaptcha | capsolver | captchaai +# CAPTCHA_SOLVER_PROVIDER=capsolver +# CAPTCHA_SOLVER_API_KEY= +# Per-URL solve cap (bounds solver spend on a hostile page). +# CAPTCHA_MAX_ATTEMPTS_PER_URL=1 +# CAPTCHA_SOLVE_TIMEOUT_S=120 +# Default type when detection is ambiguous: v2 | v3 | hcaptcha +# CAPTCHA_TYPE_DEFAULT=v2 +# reCAPTCHA v3 tuning (only used for v3 challenges). +# CAPTCHA_V3_MIN_SCORE=0.7 +# CAPTCHA_V3_ACTION=verify + +# ===================================================================== +# Stealth hardening (Phase 3e, Slice A) — runtime/config-level levers on the +# stealth browser tier. Consumed by app/proprietary/web_crawler/stealth.py. +# Defaults add no crawl-speed regression and preserve today's behavior. +# Match browser locale/timezone to the proxy provider's exit region (no exit-IP lookup). +# CRAWL_GEOIP_MATCH_ENABLED=FALSE +# WebRTC respects the proxy (anti local-IP leak). Cheap + safe. +# CRAWL_BLOCK_WEBRTC=TRUE +# Random canvas noise (an unstable canvas hash is itself a tell) — opt-in only. +# CRAWL_HIDE_CANVAS=FALSE +# Send a Google referer so the first hit looks like organic arrival. +# CRAWL_GOOGLE_SEARCH_REFERER=TRUE +# Route DNS via Cloudflare DoH (anti DNS-leak). Adds a DNS round-trip => off by +# default to avoid any speed regression; enable for leak-safety-first setups. +# CRAWL_DNS_OVER_HTTPS=FALSE # File Parser Service ETL_SERVICE=UNSTRUCTURED or LLAMACLOUD or DOCLING @@ -472,7 +542,7 @@ LANGSMITH_PROJECT=surfsense # ----------------------------------------------------------------------------- # Connector discovery TTL cache (Phase 1.4 perf optimization) # ----------------------------------------------------------------------------- -# Caches the per-search-space "available connectors" + "available document +# Caches the per-workspace "available connectors" + "available document # types" lookups that ``create_surfsense_deep_agent`` hits on every turn. # ORM event listeners auto-invalidate on connector / document inserts, # updates and deletes — the TTL only bounds staleness for bulk-import @@ -512,8 +582,8 @@ LANGSMITH_PROJECT=surfsense # Per-workspace spawn-paused kill switch — set via Redis at runtime, not # this env var. The env var below only disables the check itself (useful # for local dev without Redis). To pause a workspace in production: -# redis-cli SET surfsense:spawn_paused: 1 EX 600 -# redis-cli DEL surfsense:spawn_paused: +# redis-cli SET surfsense:spawn_paused: 1 EX 600 +# redis-cli DEL surfsense:spawn_paused: # The check is fail-open: a Redis blip never blocks ``task(...)``. # SURFSENSE_TASK_SPAWN_PAUSED_DISABLED=false diff --git a/surfsense_backend/Dockerfile b/surfsense_backend/Dockerfile index 292cb2671..fffe2e45d 100644 --- a/surfsense_backend/Dockerfile +++ b/surfsense_backend/Dockerfile @@ -30,6 +30,20 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ libxrender1 \ dos2unix \ git \ + # ── Phase 3e stealth hardening ────────────────────────────────────────── + # Xvfb: virtual framebuffer so the stealth browser can run headful + # (headless=False) without a real display — many WAFs flag headless Chromium. + # Gated at runtime by CRAWL_HEADED_XVFB_ENABLED (Slice B); installed now so + # the image is ready. Real font packages make canvas/emoji/font-enumeration + # fingerprints resemble a real desktop (set proven against Kasada/Akamai). + xvfb \ + fonts-noto-color-emoji \ + fonts-unifont \ + fonts-ipafont-gothic \ + fonts-wqy-zenhei \ + fonts-tlwg-loma-otf \ + fonts-dejavu \ + fonts-liberation \ && rm -rf /var/lib/apt/lists/* RUN which ffmpeg && ffmpeg -version @@ -109,7 +123,7 @@ RUN --mount=type=secret,id=HF_TOKEN \ HF_TOKEN="$(cat /run/secrets/HF_TOKEN 2>/dev/null || true)" \ python -c "from chonkie import AutoEmbeddings; AutoEmbeddings.get_embeddings('${EMBEDDING_MODEL}')" -# Install Scrapling's browser engines (patchright Chromium + Camoufox). +# Install Scrapling's browser engines (patchright Chromium). # Scrapling pulls playwright/patchright via the `fetchers` extra; `scrapling install` # downloads the matching browser binaries used by DynamicFetcher/StealthyFetcher. RUN scrapling install diff --git a/surfsense_backend/alembic/env.py b/surfsense_backend/alembic/env.py index 04a6b50ff..f2130892a 100644 --- a/surfsense_backend/alembic/env.py +++ b/surfsense_backend/alembic/env.py @@ -1,4 +1,5 @@ import asyncio +import logging import os import sys from logging.config import fileConfig @@ -9,6 +10,7 @@ from sqlalchemy.engine import Connection from sqlalchemy.ext.asyncio import async_engine_from_config from alembic import context +from alembic.script import ScriptDirectory # Ensure the app directory is in the Python path # This allows Alembic to find your models @@ -40,6 +42,153 @@ target_metadata = Base.metadata MIGRATION_ADVISORY_LOCK_NAMESPACE = "surfsense" MIGRATION_ADVISORY_LOCK_NAME = "alembic_migrations" +# Migration 170 renamed searchspaces -> workspaces, so a ``workspaces`` table +# can only exist once the schema is at revision >= 170. If it exists while the +# recorded revision is missing or still pre-170, the schema did not come from +# this migration history at all -- it was created by the startup bootstrap +# (``Base.metadata.create_all`` in ``app.db.create_db_and_tables``), which +# always builds the *current* model shape. Replaying history against such a +# schema fails (e.g. migration 5's ``ALTER COLUMN ... TYPE`` is rejected +# because the column already sits in zero_publication's column list), so the +# schema is adopted by stamping head instead. +BOOTSTRAP_MARKER_TABLE = "workspaces" +RENAME_REVISION = "170" + + +def _stamp_head(connection: Connection, script: ScriptDirectory) -> None: + context.get_context().stamp(script, script.get_current_head()) + if connection.in_transaction(): + # The outer begin_transaction() is a no-op under + # transaction_per_migration, so commit explicitly. + connection.commit() + + +def _fast_forward_fresh_db(connection: Connection) -> bool: + """Build a fresh (empty) DB at head via create_all instead of replaying. + + Historical migrations were written against the pre-workspace-rename + schema (``searchspaces``, ``search_space_id``), while migration 0's + ``create_all`` builds the *current* models -- so replaying the chain on a + fresh DB crashes as soon as a migration touches a renamed object (first + at migration 18). A fresh DB needs no history: create the head-shape + schema directly, mirror migration 0's indexes, create the Zero + publication, and stamp head. Replay remains only for legacy DBs that + genuinely contain the old objects. + + ponytail: seed-data migrations (114/128 default prompts) are skipped on + this path, same as always for create_all-bootstrapped DBs; the app copes + with missing seeds. If seeds ever become mandatory, add a runtime seeding + step rather than resurrecting the replay. + """ + for table in ("documents", "searchspaces", BOOTSTRAP_MARKER_TABLE): + if connection.execute(sa.text("SELECT to_regclass(:t)"), {"t": table}).scalar(): + return False + if connection.execute(sa.text("SELECT to_regclass('alembic_version')")).scalar(): + current = connection.execute( + sa.text("SELECT version_num FROM alembic_version") + ).scalar() + if current: + return False + + logging.getLogger("alembic.env").info( + "Fresh database detected: creating head-shape schema via create_all " + "and stamping head instead of replaying migration history." + ) + connection.execute(sa.text("CREATE EXTENSION IF NOT EXISTS vector")) + connection.execute(sa.text("CREATE EXTENSION IF NOT EXISTS pg_trgm")) + Base.metadata.create_all(bind=connection) + # Same core indexes migration 0 created (runtime setup_indexes() adds the + # rest concurrently on app boot). + connection.execute( + sa.text( + "CREATE INDEX IF NOT EXISTS document_vector_index ON documents " + "USING hnsw (embedding public.vector_cosine_ops)" + ) + ) + connection.execute( + sa.text( + "CREATE INDEX IF NOT EXISTS document_search_index ON documents " + "USING gin (to_tsvector('english', content))" + ) + ) + connection.execute( + sa.text( + "CREATE INDEX IF NOT EXISTS chucks_vector_index ON chunks " + "USING hnsw (embedding public.vector_cosine_ops)" + ) + ) + connection.execute( + sa.text( + "CREATE INDEX IF NOT EXISTS chucks_search_index ON chunks " + "USING gin (to_tsvector('english', content))" + ) + ) + + from app.zero_publication import ensure_publication + + ensure_publication(connection) + + _stamp_head(connection, ScriptDirectory.from_config(config)) + return True + + +def _adopt_bootstrapped_schema(connection: Connection) -> bool: + """Stamp head instead of replaying history on a create_all-created DB. + + Returns True when the schema was adopted (migrations must then be + skipped for this run). + + ponytail: assumes the bootstrapped schema matches the checked-out models + (true whenever the backend booted on this checkout, since create_all runs + on every startup). If the checkout moved ahead without a backend boot, + column-level drift from the skipped migrations is possible; the upgrade + path is re-bootstrapping (boot the backend once) before stamping. + """ + marker = connection.execute( + sa.text("SELECT to_regclass(:t)"), {"t": BOOTSTRAP_MARKER_TABLE} + ).scalar() + if marker is None: + return False + + # Guard against a legacy-shape DB that merely had missing tables filled in + # by a later create_all: adoption requires the core tables to be in the + # current (post-rename) shape too, not just the marker table to exist. + documents_renamed = connection.execute( + sa.text( + "SELECT 1 FROM information_schema.columns " + "WHERE table_schema = current_schema() " + "AND table_name = 'documents' AND column_name = 'workspace_id'" + ) + ).scalar() + if not documents_renamed: + return False + + current = None + if connection.execute(sa.text("SELECT to_regclass('alembic_version')")).scalar(): + current = connection.execute( + sa.text("SELECT version_num FROM alembic_version") + ).scalar() + + script = ScriptDirectory.from_config(config) + pre_rename_revisions = { + rev.revision for rev in script.iterate_revisions(RENAME_REVISION, "base") + } - {RENAME_REVISION} + if current is not None and current not in pre_rename_revisions: + # Genuinely migration-managed at >= 170; run migrations normally. + return False + + logging.getLogger("alembic.env").info( + "Adopting bootstrap-created schema (%r exists, recorded revision %r " + "predates the workspace rename): stamping %s instead of replaying " + "migration history.", + BOOTSTRAP_MARKER_TABLE, + current, + script.get_current_head(), + ) + _stamp_head(connection, script) + return True + + # other values from the config, defined by the needs of env.py, # can be acquired: # my_important_option = config.get_main_option("my_important_option") @@ -86,8 +235,11 @@ def do_run_migrations(connection: Connection) -> None: lock_params, ) try: - with context.begin_transaction(): - context.run_migrations() + if not _fast_forward_fresh_db(connection) and not _adopt_bootstrapped_schema( + connection + ): + with context.begin_transaction(): + context.run_migrations() finally: connection.execute( sa.text("SELECT pg_advisory_unlock(hashtext(:namespace), hashtext(:name))"), diff --git a/surfsense_backend/alembic/versions/168_harden_refresh_token_schema.py b/surfsense_backend/alembic/versions/168_harden_refresh_token_schema.py index 1e902ea58..ebea4eaf5 100644 --- a/surfsense_backend/alembic/versions/168_harden_refresh_token_schema.py +++ b/surfsense_backend/alembic/versions/168_harden_refresh_token_schema.py @@ -50,9 +50,7 @@ def upgrade() -> None: """ ) - op.execute( - "ALTER TABLE refresh_tokens ALTER COLUMN token_hash TYPE VARCHAR(64)" - ) + op.execute("ALTER TABLE refresh_tokens ALTER COLUMN token_hash TYPE VARCHAR(64)") op.execute("ALTER TABLE refresh_tokens DROP COLUMN IF EXISTS is_revoked") @@ -63,14 +61,19 @@ def downgrade() -> None: ) op.execute( """ - UPDATE refresh_tokens - SET is_revoked = TRUE - WHERE revoked_at IS NOT NULL + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_name = 'refresh_tokens' + AND column_name = 'revoked_at' + ) THEN + UPDATE refresh_tokens SET is_revoked = TRUE WHERE revoked_at IS NOT NULL; + END IF; + END $$; """ ) op.execute("ALTER TABLE refresh_tokens ALTER COLUMN is_revoked DROP DEFAULT") - op.execute( - "ALTER TABLE refresh_tokens ALTER COLUMN token_hash TYPE VARCHAR(256)" - ) + op.execute("ALTER TABLE refresh_tokens ALTER COLUMN token_hash TYPE VARCHAR(256)") op.execute("ALTER TABLE refresh_tokens DROP COLUMN IF EXISTS absolute_expiry") op.execute("ALTER TABLE refresh_tokens DROP COLUMN IF EXISTS revoked_at") diff --git a/surfsense_backend/alembic/versions/170_rename_searchspace_to_workspace.py b/surfsense_backend/alembic/versions/170_rename_searchspace_to_workspace.py new file mode 100644 index 000000000..265243bb9 --- /dev/null +++ b/surfsense_backend/alembic/versions/170_rename_searchspace_to_workspace.py @@ -0,0 +1,512 @@ +"""rename searchspace schema to workspace + +Renames the SearchSpace tables/columns/constraints/indexes/sequences to the +workspace_* names the ORM already declares, and reconciles the Zero publication +to match. + +Revision ID: 170 +Revises: 169 +""" + +from collections.abc import Sequence + +import sqlalchemy as sa + +from alembic import op +from app.zero_publication import apply_publication + +revision: str = "170" +down_revision: str | None = "169" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + +PUBLICATION_NAME = "zero_publication" + +# Tables whose published column list references the renamed column. Their +# column-list dependency must be removed before RENAME COLUMN is permitted, +# then re-added by apply_publication with the new column name. +PUBLICATION_COLUMN_LIST_TABLES = [ + "documents", + "automations", + "new_chat_threads", + "podcasts", +] + +# (old_table, new_table) +TABLE_RENAMES: list[tuple[str, str]] = [ + ("searchspaces", "workspaces"), + ("search_space_roles", "workspace_roles"), + ("search_space_memberships", "workspace_memberships"), + ("search_space_invites", "workspace_invites"), +] + +# (table, old_column, new_column) -- table names are POST-table-rename. +COLUMN_RENAMES: list[tuple[str, str, str]] = [ + ("agent_action_log", "search_space_id", "workspace_id"), + ("agent_permission_rules", "search_space_id", "workspace_id"), + ("automations", "search_space_id", "workspace_id"), + ("connections", "search_space_id", "workspace_id"), + ("document_files", "search_space_id", "workspace_id"), + ("document_revisions", "search_space_id", "workspace_id"), + ("documents", "search_space_id", "workspace_id"), + ("external_chat_bindings", "search_space_id", "workspace_id"), + ("folder_revisions", "search_space_id", "workspace_id"), + ("folders", "search_space_id", "workspace_id"), + ("image_generations", "search_space_id", "workspace_id"), + ("logs", "search_space_id", "workspace_id"), + ("new_chat_threads", "search_space_id", "workspace_id"), + ("notifications", "search_space_id", "workspace_id"), + ("podcasts", "search_space_id", "workspace_id"), + ("prompts", "search_space_id", "workspace_id"), + ("reports", "search_space_id", "workspace_id"), + ("search_source_connectors", "search_space_id", "workspace_id"), + ("token_usage", "search_space_id", "workspace_id"), + ("video_presentations", "search_space_id", "workspace_id"), + ("external_chat_accounts", "owner_search_space_id", "owner_workspace_id"), + ("workspace_roles", "search_space_id", "workspace_id"), + ("workspace_memberships", "search_space_id", "workspace_id"), + ("workspace_invites", "search_space_id", "workspace_id"), +] + +# (table, old_constraint, new_constraint) -- table names are POST-table-rename. +CONSTRAINT_RENAMES: list[tuple[str, str, str]] = [ + ( + "agent_action_log", + "agent_action_log_search_space_id_fkey", + "agent_action_log_workspace_id_fkey", + ), + ( + "agent_permission_rules", + "agent_permission_rules_search_space_id_fkey", + "agent_permission_rules_workspace_id_fkey", + ), + ( + "automations", + "automations_search_space_id_fkey", + "automations_workspace_id_fkey", + ), + ( + "connections", + "connections_search_space_id_fkey", + "connections_workspace_id_fkey", + ), + ( + "document_files", + "document_files_search_space_id_fkey", + "document_files_workspace_id_fkey", + ), + ( + "document_revisions", + "document_revisions_search_space_id_fkey", + "document_revisions_workspace_id_fkey", + ), + ("documents", "documents_search_space_id_fkey", "documents_workspace_id_fkey"), + ( + "external_chat_accounts", + "external_chat_accounts_owner_search_space_id_fkey", + "external_chat_accounts_owner_workspace_id_fkey", + ), + ( + "external_chat_bindings", + "external_chat_bindings_search_space_id_fkey", + "external_chat_bindings_workspace_id_fkey", + ), + ( + "folder_revisions", + "folder_revisions_search_space_id_fkey", + "folder_revisions_workspace_id_fkey", + ), + ("folders", "folders_search_space_id_fkey", "folders_workspace_id_fkey"), + ( + "image_generations", + "image_generations_search_space_id_fkey", + "image_generations_workspace_id_fkey", + ), + ("logs", "logs_search_space_id_fkey", "logs_workspace_id_fkey"), + ( + "new_chat_threads", + "new_chat_threads_search_space_id_fkey", + "new_chat_threads_workspace_id_fkey", + ), + ( + "notifications", + "notifications_search_space_id_fkey", + "notifications_workspace_id_fkey", + ), + ("podcasts", "podcasts_search_space_id_fkey", "podcasts_workspace_id_fkey"), + ("prompts", "prompts_search_space_id_fkey", "prompts_workspace_id_fkey"), + ("reports", "reports_search_space_id_fkey", "reports_workspace_id_fkey"), + ( + "search_source_connectors", + "search_source_connectors_search_space_id_fkey", + "search_source_connectors_workspace_id_fkey", + ), + ( + "search_source_connectors", + "uq_searchspace_user_connector_type_name", + "uq_workspace_user_connector_type_name", + ), + ( + "token_usage", + "token_usage_search_space_id_fkey", + "token_usage_workspace_id_fkey", + ), + ( + "video_presentations", + "video_presentations_search_space_id_fkey", + "video_presentations_workspace_id_fkey", + ), + ( + "workspace_invites", + "search_space_invites_created_by_id_fkey", + "workspace_invites_created_by_id_fkey", + ), + ( + "workspace_invites", + "search_space_invites_pkey", + "workspace_invites_pkey", + ), + ( + "workspace_invites", + "search_space_invites_role_id_fkey", + "workspace_invites_role_id_fkey", + ), + ( + "workspace_invites", + "search_space_invites_search_space_id_fkey", + "workspace_invites_workspace_id_fkey", + ), + ( + "workspace_memberships", + "search_space_memberships_invited_by_invite_id_fkey", + "workspace_memberships_invited_by_invite_id_fkey", + ), + ( + "workspace_memberships", + "search_space_memberships_pkey", + "workspace_memberships_pkey", + ), + ( + "workspace_memberships", + "search_space_memberships_role_id_fkey", + "workspace_memberships_role_id_fkey", + ), + ( + "workspace_memberships", + "search_space_memberships_search_space_id_fkey", + "workspace_memberships_workspace_id_fkey", + ), + ( + "workspace_memberships", + "search_space_memberships_user_id_fkey", + "workspace_memberships_user_id_fkey", + ), + ( + "workspace_memberships", + "uq_user_searchspace_membership", + "uq_user_workspace_membership", + ), + ( + "workspace_roles", + "search_space_roles_pkey", + "workspace_roles_pkey", + ), + ( + "workspace_roles", + "search_space_roles_search_space_id_fkey", + "workspace_roles_workspace_id_fkey", + ), + ( + "workspace_roles", + "uq_searchspace_role_name", + "uq_workspace_role_name", + ), + ("workspaces", "searchspaces_pkey", "workspaces_pkey"), + ("workspaces", "searchspaces_user_id_fkey", "workspaces_user_id_fkey"), +] + +# (old_index, new_index) -- plain indexes only; PK/unique-backed indexes follow +# their RENAME CONSTRAINT above. ALTER INDEX IF EXISTS covers both create_all +# indexes and the runtime ``setup_indexes()`` ones (idx_documents_*). +INDEX_RENAMES: list[tuple[str, str]] = [ + ("ix_agent_action_log_search_space_id", "ix_agent_action_log_workspace_id"), + ( + "ix_agent_permission_rules_search_space_id", + "ix_agent_permission_rules_workspace_id", + ), + ("ix_automations_search_space_id", "ix_automations_workspace_id"), + ("ix_document_files_search_space_id", "ix_document_files_workspace_id"), + ("ix_document_revisions_search_space_id", "ix_document_revisions_workspace_id"), + ( + "ix_external_chat_bindings_search_space_state", + "ix_external_chat_bindings_workspace_state", + ), + ("ix_folder_revisions_search_space_id", "ix_folder_revisions_workspace_id"), + ("ix_folders_search_space_id", "ix_folders_workspace_id"), + ("ix_notifications_search_space_id", "ix_notifications_workspace_id"), + ("ix_notifications_user_space_created", "ix_notifications_user_workspace_created"), + ("ix_prompts_search_space_id", "ix_prompts_workspace_id"), + ("ix_token_usage_search_space_id", "ix_token_usage_workspace_id"), + ("ix_search_space_invites_created_at", "ix_workspace_invites_created_at"), + ("ix_search_space_invites_id", "ix_workspace_invites_id"), + ("ix_search_space_invites_invite_code", "ix_workspace_invites_invite_code"), + ("ix_search_space_memberships_created_at", "ix_workspace_memberships_created_at"), + ("ix_search_space_memberships_id", "ix_workspace_memberships_id"), + ("ix_search_space_roles_created_at", "ix_workspace_roles_created_at"), + ("ix_search_space_roles_id", "ix_workspace_roles_id"), + ("ix_search_space_roles_name", "ix_workspace_roles_name"), + ("ix_searchspaces_created_at", "ix_workspaces_created_at"), + ("ix_searchspaces_id", "ix_workspaces_id"), + ("ix_searchspaces_name", "ix_workspaces_name"), + ("idx_documents_search_space_id", "idx_documents_workspace_id"), + ("idx_documents_search_space_updated", "idx_documents_workspace_updated"), +] + +# (old_sequence, new_sequence) +SEQUENCE_RENAMES: list[tuple[str, str]] = [ + ("searchspaces_id_seq", "workspaces_id_seq"), + ("search_space_roles_id_seq", "workspace_roles_id_seq"), + ("search_space_memberships_id_seq", "workspace_memberships_id_seq"), + ("search_space_invites_id_seq", "workspace_invites_id_seq"), +] + +# ---- Hardcoded OLD-shape publication (for downgrade only; finding 7). ---- +# Mirrors app.zero_publication.ZERO_PUBLICATION at revision 169 but with the +# pre-rename ``search_space_id`` column. NEVER import the live module here: it +# now reflects ``workspace_id`` and would silently drop the column-list tables. +_DOWNGRADE_DOCUMENT_COLS = [ + "id", + "title", + "document_type", + "search_space_id", + "folder_id", + "created_by_id", + "status", + "created_at", + "updated_at", +] +_DOWNGRADE_USER_COLS = ["id", "credit_micros_balance"] +_DOWNGRADE_AUTOMATION_RUN_COLS = [ + "id", + "automation_id", + "trigger_id", + "status", + "step_results", + "started_at", + "finished_at", + "created_at", +] +_DOWNGRADE_AUTOMATION_COLS = ["id", "search_space_id"] +_DOWNGRADE_NEW_CHAT_THREAD_COLS = ["id", "search_space_id"] +_DOWNGRADE_PODCAST_COLS = [ + "id", + "title", + "status", + "spec", + "spec_version", + "duration_seconds", + "error", + "search_space_id", + "thread_id", + "created_at", +] +# Ordered to match ZERO_PUBLICATION; None == all columns. +_DOWNGRADE_PUBLICATION: list[tuple[str, list[str] | None]] = [ + ("notifications", None), + ("documents", _DOWNGRADE_DOCUMENT_COLS), + ("folders", None), + ("search_source_connectors", None), + ("new_chat_threads", _DOWNGRADE_NEW_CHAT_THREAD_COLS), + ("new_chat_messages", None), + ("chat_comments", None), + ("chat_session_state", None), + ("user", _DOWNGRADE_USER_COLS), + ("automations", _DOWNGRADE_AUTOMATION_COLS), + ("automation_runs", _DOWNGRADE_AUTOMATION_RUN_COLS), + ("podcasts", _DOWNGRADE_PODCAST_COLS), +] + + +def _quote(identifier: str) -> str: + return '"' + identifier.replace('"', '""') + '"' + + +def _publication_exists(conn) -> bool: + return ( + conn.execute( + sa.text("SELECT 1 FROM pg_publication WHERE pubname = :n"), + {"n": PUBLICATION_NAME}, + ).fetchone() + is not None + ) + + +def _is_publication_member(conn, table: str) -> bool: + return ( + conn.execute( + sa.text( + "SELECT 1 FROM pg_publication_tables " + "WHERE pubname = :n AND schemaname = current_schema() " + "AND tablename = :t" + ), + {"n": PUBLICATION_NAME, "t": table}, + ).fetchone() + is not None + ) + + +def _table_columns(conn, table: str) -> set[str]: + rows = conn.execute( + sa.text( + "SELECT column_name FROM information_schema.columns " + "WHERE table_schema = current_schema() AND table_name = :t" + ), + {"t": table}, + ).fetchall() + return {row[0] for row in rows} + + +def _neutralize_column_list_tables(conn) -> None: + """Remove the column-list dependency so RENAME COLUMN is permitted.""" + if not _publication_exists(conn): + return + for table in PUBLICATION_COLUMN_LIST_TABLES: + if _is_publication_member(conn, table): + conn.execute( + sa.text( + f"ALTER PUBLICATION {_quote(PUBLICATION_NAME)} DROP TABLE {table}" + ) + ) + + +def _rename_table(conn, old: str, new: str) -> None: + conn.execute(sa.text(f"ALTER TABLE IF EXISTS {old} RENAME TO {new}")) + + +def _rename_column(conn, table: str, old: str, new: str) -> None: + conn.execute( + sa.text( + f""" + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM information_schema.columns + WHERE table_schema = current_schema() + AND table_name = '{table}' AND column_name = '{old}' + ) THEN + ALTER TABLE {table} RENAME COLUMN {old} TO {new}; + END IF; + END$$; + """ + ) + ) + + +def _rename_constraint(conn, table: str, old: str, new: str) -> None: + conn.execute( + sa.text( + f""" + DO $$ + BEGIN + IF EXISTS ( + SELECT 1 FROM pg_constraint + WHERE conname = '{old}' + AND conrelid = to_regclass('{table}') + ) THEN + ALTER TABLE {table} RENAME CONSTRAINT {old} TO {new}; + END IF; + END$$; + """ + ) + ) + + +def _rename_index(conn, old: str, new: str) -> None: + conn.execute(sa.text(f"ALTER INDEX IF EXISTS {old} RENAME TO {new}")) + + +def _rename_sequence(conn, old: str, new: str) -> None: + conn.execute(sa.text(f"ALTER SEQUENCE IF EXISTS {old} RENAME TO {new}")) + + +def _restore_downgrade_publication(conn) -> None: + """Re-emit the OLD (search_space_id) publication shape via plain SET TABLE. + + Does NOT call apply_publication (which reads the live, now-workspace_id + module) -- that would silently drop the column-list tables (finding 7). + """ + if not _publication_exists(conn): + return + # Drop the column-list tables first so the SET TABLE has no stale + # workspace_id dependency to trip over. + for table in PUBLICATION_COLUMN_LIST_TABLES: + if _is_publication_member(conn, table): + conn.execute( + sa.text( + f"ALTER PUBLICATION {_quote(PUBLICATION_NAME)} DROP TABLE {table}" + ) + ) + + entries: list[str] = [] + for table, cols in _DOWNGRADE_PUBLICATION: + actual = _table_columns(conn, table) + if not actual: + continue + if cols is None: + entries.append(_quote(table)) + continue + expected = list(cols) + if table in {"documents", "user", "podcasts"} and "_0_version" in actual: + expected.append("_0_version") + if any(col not in actual for col in expected): + continue + col_sql = ", ".join(_quote(col) for col in expected) + entries.append(f"{_quote(table)} ({col_sql})") + + table_list = ", ".join(entries) + conn.execute( + sa.text(f"ALTER PUBLICATION {_quote(PUBLICATION_NAME)} SET TABLE {table_list}") + ) + + +def upgrade() -> None: + conn = op.get_bind() + + _neutralize_column_list_tables(conn) + + for old, new in TABLE_RENAMES: + _rename_table(conn, old, new) + for table, old, new in COLUMN_RENAMES: + _rename_column(conn, table, old, new) + for table, old, new in CONSTRAINT_RENAMES: + _rename_constraint(conn, table, old, new) + for old, new in INDEX_RENAMES: + _rename_index(conn, old, new) + for old, new in SEQUENCE_RENAMES: + _rename_sequence(conn, old, new) + + # Reconcile to the new workspace_id shape via the blessed apply_publication + # path (ALTER ... SET TABLE) -- never raw DROP/CREATE PUBLICATION (bug #1355, + # migration 116). No-op if the publication does not exist. + apply_publication(conn) + + +def downgrade() -> None: + conn = op.get_bind() + + _neutralize_column_list_tables(conn) + + for old, new in SEQUENCE_RENAMES: + _rename_sequence(conn, new, old) + for old, new in INDEX_RENAMES: + _rename_index(conn, new, old) + for table, old, new in CONSTRAINT_RENAMES: + # table here is the POST-rename name; constraints/tables are still + # renamed at this point (table rename is reversed last). + _rename_constraint(conn, table, new, old) + for table, old, new in COLUMN_RENAMES: + _rename_column(conn, table, new, old) + for old, new in TABLE_RENAMES: + _rename_table(conn, new, old) + + _restore_downgrade_publication(conn) diff --git a/surfsense_backend/alembic/versions/171_add_runs_and_tool_output_spills.py b/surfsense_backend/alembic/versions/171_add_runs_and_tool_output_spills.py new file mode 100644 index 000000000..2511ef3f9 --- /dev/null +++ b/surfsense_backend/alembic/versions/171_add_runs_and_tool_output_spills.py @@ -0,0 +1,78 @@ +"""Add runs and tool_output_spills tables. + +``runs`` backs the user-facing Scraper-API logs and the agent's tool-boundary +truncation (full scraper output stored here, model sees a capped preview + id). +``tool_output_spills`` is the internal scratch store for main-agent context +spills, kept separate so the customer log stays clean. + +Revision ID: 171 +Revises: 170 +""" + +from collections.abc import Sequence + +from alembic import op + +revision: str = "171" +down_revision: str | None = "170" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + op.execute( + """ + CREATE TABLE IF NOT EXISTS runs ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + workspace_id INTEGER NOT NULL REFERENCES workspaces(id) ON DELETE CASCADE, + user_id UUID REFERENCES "user"(id) ON DELETE CASCADE, + thread_id VARCHAR(255), + capability VARCHAR(100) NOT NULL, + origin VARCHAR(16) NOT NULL, + status VARCHAR(16) NOT NULL, + error TEXT, + input JSONB, + output_text TEXT, + item_count INTEGER NOT NULL DEFAULT 0, + char_count INTEGER NOT NULL DEFAULT 0, + duration_ms INTEGER, + cost_micros BIGINT, + created_at TIMESTAMP WITH TIME ZONE NOT NULL + ); + """ + ) + op.execute("CREATE INDEX IF NOT EXISTS ix_runs_workspace_id ON runs (workspace_id)") + op.execute("CREATE INDEX IF NOT EXISTS ix_runs_user_id ON runs (user_id)") + op.execute("CREATE INDEX IF NOT EXISTS ix_runs_capability ON runs (capability)") + op.execute("CREATE INDEX IF NOT EXISTS ix_runs_created_at ON runs (created_at)") + op.execute( + "CREATE INDEX IF NOT EXISTS ix_runs_workspace_created " + "ON runs (workspace_id, created_at)" + ) + + op.execute( + """ + CREATE TABLE IF NOT EXISTS tool_output_spills ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + workspace_id INTEGER REFERENCES workspaces(id) ON DELETE CASCADE, + thread_id VARCHAR(255), + tool_name VARCHAR(255), + content TEXT NOT NULL, + char_count INTEGER NOT NULL DEFAULT 0, + created_at TIMESTAMP WITH TIME ZONE NOT NULL + ); + """ + ) + op.execute( + "CREATE INDEX IF NOT EXISTS ix_tool_output_spills_workspace_id " + "ON tool_output_spills (workspace_id)" + ) + op.execute( + "CREATE INDEX IF NOT EXISTS ix_tool_output_spills_created_at " + "ON tool_output_spills (created_at)" + ) + + +def downgrade() -> None: + op.execute("DROP TABLE IF EXISTS tool_output_spills") + op.execute("DROP TABLE IF EXISTS runs") diff --git a/surfsense_backend/alembic/versions/172_remove_ai_file_sort.py b/surfsense_backend/alembic/versions/172_remove_ai_file_sort.py new file mode 100644 index 000000000..474f31e76 --- /dev/null +++ b/surfsense_backend/alembic/versions/172_remove_ai_file_sort.py @@ -0,0 +1,32 @@ +"""Remove AI file sort flag. + +Revision ID: 172 +Revises: 171 +""" + +from collections.abc import Sequence + +import sqlalchemy as sa + +from alembic import op + +revision: str = "172" +down_revision: str | None = "171" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + op.drop_column("workspaces", "ai_file_sort_enabled") + + +def downgrade() -> None: + op.add_column( + "workspaces", + sa.Column( + "ai_file_sort_enabled", + sa.Boolean(), + nullable=False, + server_default=sa.text("false"), + ), + ) diff --git a/surfsense_backend/alembic/versions/173_add_runs_progress.py b/surfsense_backend/alembic/versions/173_add_runs_progress.py new file mode 100644 index 000000000..dca37f746 --- /dev/null +++ b/surfsense_backend/alembic/versions/173_add_runs_progress.py @@ -0,0 +1,26 @@ +"""Add runs.progress for streamed scraper run progress. + +Stores the coarse (throttled) progress log captured during a run; the live +fine-grained stream stays ephemeral (in-process bus / SSE only). Nullable so +existing rows and the sync/agent doors that don't report progress are unaffected. + +Revision ID: 173 +Revises: 172 +""" + +from collections.abc import Sequence + +from alembic import op + +revision: str = "173" +down_revision: str | None = "172" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + op.execute("ALTER TABLE runs ADD COLUMN IF NOT EXISTS progress JSONB") + + +def downgrade() -> None: + op.execute("ALTER TABLE runs DROP COLUMN IF EXISTS progress") diff --git a/surfsense_backend/app/agents/chat/anonymous_chat/agent.py b/surfsense_backend/app/agents/chat/anonymous_chat/agent.py index 250b4c158..13cb33adb 100644 --- a/surfsense_backend/app/agents/chat/anonymous_chat/agent.py +++ b/surfsense_backend/app/agents/chat/anonymous_chat/agent.py @@ -1,16 +1,16 @@ """Minimal anonymous / free-chat agent. The no-login chat experience must stay dead simple: the user asks a question -and the model answers, optionally using ``web_search`` and an optionally -uploaded **read-only** document. We deliberately bypass the full SurfSense deep -agent stack (filesystem, file-intent, knowledge-base persistence, subagents, -skills, memory) because those middlewares stage or persist "documents" that an -anonymous session can never see again -- which produced phantom -"I saved it to a file" answers for free users. +and the model answers over an optionally uploaded **read-only** document. We +deliberately bypass the full SurfSense deep agent stack (filesystem, +file-intent, knowledge-base persistence, subagents, skills, memory) because +those middlewares stage or persist "documents" that an anonymous session can +never see again -- which produced phantom "I saved it to a file" answers for +free users. -For any other SurfSense capability the model is instructed (via the system -prompt built here) to tell the user to create a free account instead of -pretending to perform the action. +For any other SurfSense capability (including web search) the model is +instructed (via the system prompt built here) to tell the user to create a +free account instead of pretending to perform the action. """ from __future__ import annotations @@ -22,7 +22,6 @@ from deepagents.backends import StateBackend from langchain.agents import create_agent from langchain.agents.middleware import ( ModelCallLimitMiddleware, - ToolCallLimitMiddleware, ) from langchain_core.language_models import BaseChatModel from langgraph.types import Checkpointer @@ -32,7 +31,6 @@ from app.agents.chat.shared.middleware import ( RetryAfterMiddleware, create_surfsense_compaction_middleware, ) -from app.agents.chat.shared.tools.web_search import create_web_search_tool # Cap how much of an uploaded document we inline into the system prompt. The # upload endpoint allows files up to several MB, but the doc is re-sent on @@ -43,9 +41,12 @@ _MAX_DOC_CHARS = 50_000 def build_anonymous_system_prompt(anon_doc: dict[str, Any] | None = None) -> str: """Build the system prompt for the minimal anonymous chat agent. - The prompt keeps the assistant focused on plain Q/A + web search, inlines - any uploaded document as read-only context, and redirects every other - SurfSense feature to account registration. + The prompt keeps the assistant focused on plain Q/A from model knowledge, + inlines any uploaded document as read-only context, and treats the chat as + a registration funnel: every other SurfSense capability (scraping, live + data, deliverables, knowledge base, automations) redirects to sign-up, and + the assistant softly suggests an account when the conversation reveals a + competitive-intelligence need the platform serves. """ today = datetime.now(UTC).strftime("%A, %B %d, %Y") @@ -72,30 +73,56 @@ def build_anonymous_system_prompt(anon_doc: dict[str, Any] | None = None) -> str return ( "You are SurfSense's free AI assistant, available to everyone without " - "login.\n\n" + "login. SurfSense is the open-source competitive intelligence platform: " + "registered users get specialist agents that pull live market data from " + "Reddit, YouTube, Google Maps, Google Search, and the open web, turn it " + "into cited briefs, reports, podcasts, and presentations, keep findings " + "in a searchable knowledge base, and run scheduled monitoring " + "automations — plus a REST scraping API and MCP server for their own " + "agents.\n\n" f"Today's date is {today}.\n\n" "## How to help\n" "- Answer the user's questions directly and conversationally. You are " "a straightforward question-and-answer assistant.\n" - "- When a question needs current, real-time, or factual information " - "from the internet (news, prices, weather, recent events, live data), " - "use the `web_search` tool. Otherwise, answer directly from your own " - "knowledge.\n" + "- Answer from your own knowledge. You do NOT have web access here, so " + "for current, real-time, or fast-changing facts (news, prices, " + "weather, recent events, live data) say you can't look them up in the " + "free experience and may be out of date.\n" "- Be concise, accurate, and helpful. Use Markdown formatting when it " "improves readability." f"{doc_section}\n\n" "## What is not available here\n" - "This is the free, no-login experience. You CANNOT save files or " - "notes, generate reports, podcasts, resumes, presentations, or images, " - "search or build a knowledge base, connect to apps (Gmail, Google " - "Drive, Notion, Slack, Calendar, Discord, and similar), set up " - "automations, or remember anything across sessions.\n\n" + "This is the free, no-login experience. You CANNOT search the web or " + "scrape any platform (Reddit, YouTube, Google Maps, Google Search, " + "websites), save files or notes, upload additional files, generate " + "reports, podcasts, resumes, presentations, or images, search or build " + "a knowledge base, connect to apps (Gmail, Google Drive, Notion, " + "Slack, Calendar, Discord, and similar), set up automations or " + "monitoring, use the scraping API or MCP server, or remember anything " + "across sessions.\n\n" "If the user asks for any of these, do NOT pretend to do them and " - "never claim you saved, created, or stored anything. Instead, briefly " - "let them know the feature requires a free SurfSense account and " - "invite them to create one at https://www.surfsense.com. Then offer to " - "help with what you can do here (answering questions and searching the " - "web)." + "never claim you saved, created, scraped, or stored anything. Instead, " + "briefly say that this needs a free SurfSense account and invite them " + "to sign up at https://www.surfsense.com/register — name the specific " + "capability that would solve their request (e.g. 'a SurfSense account " + "can scrape those Reddit threads live and turn them into a cited " + "brief'). Then offer to help with what you can do here (answering from " + "your own knowledge and about any uploaded document).\n\n" + "## Suggesting SurfSense when it genuinely fits\n" + "You are also the front door to SurfSense. When the conversation " + "reveals a need the full platform serves — researching competitors, " + "tracking pricing or rankings, monitoring brand mentions or reviews, " + "gauging Reddit/YouTube sentiment, generating leads, needing current " + "web data, or wanting recurring reports — first answer as well as you " + "can from your own knowledge, then add ONE short sentence pointing out " + "that a free SurfSense account can do that with live data, linking " + "https://www.surfsense.com/register.\n" + "- Be helpful first, never salesy: the answer is the product; the " + "suggestion is a footnote.\n" + "- At most one suggestion per response, and stop suggesting entirely " + "if the user declines or ignores it.\n" + "- Do not suggest it for needs SurfSense does not serve (casual chat, " + "coding help, homework, creative writing)." ) @@ -105,14 +132,13 @@ async def create_anonymous_chat_agent( checkpointer: Checkpointer, anon_session_id: str | None = None, anon_doc: dict[str, Any] | None = None, - enable_web_search: bool = True, ): """Create a minimal Q/A agent for anonymous / free chat. Unlike :func:`create_surfsense_deep_agent`, this agent has no filesystem, file-intent, knowledge-base persistence, subagent, skills, or memory - middleware. Its only tool is ``web_search`` (when ``enable_web_search`` is - True), and any uploaded document is injected into the system prompt as + middleware -- and no tools at all. It answers purely from the model's own + knowledge; any uploaded document is injected into the system prompt as read-only context. Args: @@ -120,36 +146,23 @@ async def create_anonymous_chat_agent( checkpointer: LangGraph checkpointer for the ephemeral anon thread. anon_session_id: Anonymous session id (used only for telemetry/metadata). anon_doc: Optional ``{"title", "content"}`` for an uploaded document. - enable_web_search: When False, the agent runs as a pure LLM with no - tools (used when the user toggles web search off). """ - tools = ( - [create_web_search_tool(search_space_id=None, available_connectors=None)] - if enable_web_search - else [] - ) - # Reliability-only middleware. Nothing here touches the database or - # filesystem: call limits guard against loops, compaction summarises long - # histories into in-graph state, and retry handles provider rate limits. + # filesystem: the call limit guards against loops, compaction summarises + # long histories into in-graph state, and retry handles provider rate + # limits. middleware: list[Any] = [ ModelCallLimitMiddleware(thread_limit=120, run_limit=80, exit_behavior="end"), + create_surfsense_compaction_middleware(llm, StateBackend), + RetryAfterMiddleware(max_retries=3), ] - if tools: - middleware.append( - ToolCallLimitMiddleware( - thread_limit=300, run_limit=80, exit_behavior="continue" - ) - ) - middleware.append(create_surfsense_compaction_middleware(llm, StateBackend)) - middleware.append(RetryAfterMiddleware(max_retries=3)) system_prompt = build_anonymous_system_prompt(anon_doc) agent = create_agent( llm, system_prompt=system_prompt, - tools=tools, + tools=[], middleware=middleware, context_schema=SurfSenseContextSchema, checkpointer=checkpointer, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/constants.py b/surfsense_backend/app/agents/chat/multi_agent_chat/constants.py index 7e4061813..b132618d7 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/constants.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/constants.py @@ -2,43 +2,74 @@ from __future__ import annotations +# Connected apps (hosted MCP + interim-native Gmail/Calendar) all route to the +# single ``mcp_discovery`` subagent. File connectors stay native (they enrich +# the knowledge base). Deprecated connectors (Discord/Teams/Luma) are omitted: +# they have no agent subagent, so their rows produce no tools. CONNECTOR_TYPE_TO_CONNECTOR_AGENT_MAPS: dict[str, str] = { - "GOOGLE_GMAIL_CONNECTOR": "gmail", - "COMPOSIO_GMAIL_CONNECTOR": "gmail", - "GOOGLE_CALENDAR_CONNECTOR": "calendar", - "COMPOSIO_GOOGLE_CALENDAR_CONNECTOR": "calendar", - "DISCORD_CONNECTOR": "discord", - "TEAMS_CONNECTOR": "teams", - "LUMA_CONNECTOR": "luma", - "LINEAR_CONNECTOR": "linear", - "JIRA_CONNECTOR": "jira", - "CLICKUP_CONNECTOR": "clickup", - "SLACK_CONNECTOR": "slack", - "AIRTABLE_CONNECTOR": "airtable", - "NOTION_CONNECTOR": "notion", - "CONFLUENCE_CONNECTOR": "confluence", + "GOOGLE_GMAIL_CONNECTOR": "mcp_discovery", + "COMPOSIO_GMAIL_CONNECTOR": "mcp_discovery", + "GOOGLE_CALENDAR_CONNECTOR": "mcp_discovery", + "COMPOSIO_GOOGLE_CALENDAR_CONNECTOR": "mcp_discovery", + "LINEAR_CONNECTOR": "mcp_discovery", + "JIRA_CONNECTOR": "mcp_discovery", + "CLICKUP_CONNECTOR": "mcp_discovery", + "SLACK_CONNECTOR": "mcp_discovery", + "AIRTABLE_CONNECTOR": "mcp_discovery", + "NOTION_CONNECTOR": "mcp_discovery", + "CONFLUENCE_CONNECTOR": "mcp_discovery", + "MCP_CONNECTOR": "mcp_discovery", "GOOGLE_DRIVE_CONNECTOR": "google_drive", "COMPOSIO_GOOGLE_DRIVE_CONNECTOR": "google_drive", "DROPBOX_CONNECTOR": "dropbox", "ONEDRIVE_CONNECTOR": "onedrive", } +# ``mcp_discovery`` is gated any-of: present iff the workspace has at least one +# connected app. Tokens are searchable-type strings (Composio Gmail/Calendar +# map to the GOOGLE_* tokens in connector_searchable_types). SUBAGENT_TO_REQUIRED_CONNECTOR_MAP: dict[str, frozenset[str]] = { "deliverables": frozenset(), "knowledge_base": frozenset(), - "airtable": frozenset({"AIRTABLE_CONNECTOR"}), - "calendar": frozenset({"GOOGLE_CALENDAR_CONNECTOR"}), - "clickup": frozenset({"CLICKUP_CONNECTOR"}), - "confluence": frozenset({"CONFLUENCE_CONNECTOR"}), - "discord": frozenset({"DISCORD_CONNECTOR"}), + "web_crawler": frozenset(), + "youtube": frozenset(), + "google_maps": frozenset(), + "google_search": frozenset(), + "reddit": frozenset(), + "mcp_discovery": frozenset( + { + "SLACK_CONNECTOR", + "JIRA_CONNECTOR", + "LINEAR_CONNECTOR", + "CLICKUP_CONNECTOR", + "AIRTABLE_CONNECTOR", + "NOTION_CONNECTOR", + "CONFLUENCE_CONNECTOR", + "GOOGLE_GMAIL_CONNECTOR", + "GOOGLE_CALENDAR_CONNECTOR", + "MCP_CONNECTOR", + } + ), "dropbox": frozenset({"DROPBOX_FILE"}), - "gmail": frozenset({"GOOGLE_GMAIL_CONNECTOR"}), "google_drive": frozenset({"GOOGLE_DRIVE_FILE"}), - "jira": frozenset({"JIRA_CONNECTOR"}), - "linear": frozenset({"LINEAR_CONNECTOR"}), - "luma": frozenset({"LUMA_CONNECTOR"}), - "notion": frozenset({"NOTION_CONNECTOR"}), "onedrive": frozenset({"ONEDRIVE_FILE"}), - "slack": frozenset({"SLACK_CONNECTOR"}), - "teams": frozenset({"TEAMS_CONNECTOR"}), +} + +# Old per-connector subagent names, kept working for checkpoint resume: a +# ``task(subagent_type="gmail")`` paused before the MCP consolidation resolves +# to the consolidated ``mcp_discovery`` subagent instead of hard-failing +# "subagent does not exist". New routing never emits these names. +LEGACY_SUBAGENT_ALIASES: dict[str, str] = { + "gmail": "mcp_discovery", + "calendar": "mcp_discovery", + "linear": "mcp_discovery", + "jira": "mcp_discovery", + "clickup": "mcp_discovery", + "slack": "mcp_discovery", + "airtable": "mcp_discovery", + "notion": "mcp_discovery", + "confluence": "mcp_discovery", + "discord": "mcp_discovery", + "teams": "mcp_discovery", + "luma": "mcp_discovery", } diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/graph/compile_graph_sync.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/graph/compile_graph_sync.py index e3ab50e8c..2bf393d1f 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/graph/compile_graph_sync.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/graph/compile_graph_sync.py @@ -31,7 +31,7 @@ def build_compiled_agent_graph_sync( final_system_prompt: str, backend_resolver: Any, filesystem_mode: FilesystemMode, - search_space_id: int, + workspace_id: int, user_id: str | None, thread_id: int | None, visibility: ChatVisibility, @@ -53,7 +53,7 @@ def build_compiled_agent_graph_sync( tools=tools, backend_resolver=backend_resolver, filesystem_mode=filesystem_mode, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, thread_id=thread_id, visibility=visibility, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/action_log/builder.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/action_log/builder.py index 9213f1339..6a2c737d8 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/action_log/builder.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/action_log/builder.py @@ -14,7 +14,7 @@ def build_action_log_mw( *, flags: AgentFeatureFlags, thread_id: int | None, - search_space_id: int, + workspace_id: int, user_id: str | None, ) -> ActionLogMiddleware | None: if not enabled(flags, "enable_action_log") or thread_id is None: @@ -25,7 +25,7 @@ def build_action_log_mw( # tool via ``ToolDefinition.reverse`` and can be wired here when used. return ActionLogMiddleware( thread_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) except Exception: # pragma: no cover - defensive diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/action_log/middleware.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/action_log/middleware.py index 2cce7eb53..918d6c784 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/action_log/middleware.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/action_log/middleware.py @@ -84,7 +84,7 @@ class ActionLogMiddleware(AgentMiddleware): Args: thread_id: The current chat thread's primary-key id. Required to persist a row; if ``None`` the middleware silently no-ops. - search_space_id: Search-space id for cascade-on-delete safety. + workspace_id: Workspace id for cascade-on-delete safety. user_id: UUID string of the user driving this turn (nullable in anonymous mode). tool_definitions: Optional mapping of tool name -> :class:`ToolDefinition` @@ -98,13 +98,13 @@ class ActionLogMiddleware(AgentMiddleware): self, *, thread_id: int | None, - search_space_id: int, + workspace_id: int, user_id: str | None, tool_definitions: dict[str, ToolDefinition] | None = None, ) -> None: super().__init__() self._thread_id = thread_id - self._search_space_id = search_space_id + self._workspace_id = workspace_id self._user_id = user_id self._tool_definitions = dict(tool_definitions or {}) @@ -187,7 +187,7 @@ class ActionLogMiddleware(AgentMiddleware): row = AgentActionLog( thread_id=thread_id, user_id=self._user_id, - search_space_id=self._search_space_id, + workspace_id=self._workspace_id, # ``turn_id`` is the deprecated alias of ``tool_call_id`` # kept for one release for safe rollback. New consumers # should read ``tool_call_id`` directly. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/middleware.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/middleware.py index ab6c3a1f5..8c4117bf9 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/middleware.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/middleware.py @@ -40,7 +40,7 @@ class SurfSenseCheckpointedSubAgentMiddleware(SubAgentMiddleware): subagents: list[SubAgent | CompiledSubAgent], system_prompt: str | None = TASK_SYSTEM_PROMPT, task_description: str | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, ) -> None: self._surf_checkpointer = checkpointer super(SubAgentMiddleware, self).__init__() @@ -50,11 +50,11 @@ class SurfSenseCheckpointedSubAgentMiddleware(SubAgentMiddleware): ) self._backend = backend self._subagents = subagents - # Search-space id is captured at build time (the orchestrator runs in - # exactly one search space for its lifetime). The spawn-paused kill + # Workspace id is captured at build time (the orchestrator runs in + # exactly one workspace for its lifetime). The spawn-paused kill # switch keys on it so an operator can quarantine one workspace # without affecting the rest of the deployment. - self._search_space_id = search_space_id + self._workspace_id = workspace_id # Lazy subagent compilation. Compiling a subagent graph via # ``create_agent`` is expensive (~250-400ms each) and there can be up @@ -75,7 +75,7 @@ class SurfSenseCheckpointedSubAgentMiddleware(SubAgentMiddleware): task_tool = build_task_tool_with_parent_config( descriptors, task_description, - search_space_id=search_space_id, + workspace_id=workspace_id, resolve_subagent=self._resolve_subagent, ) if system_prompt and descriptors: diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/spawn_paused.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/spawn_paused.py index 2c9e114e0..50f91dfc4 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/spawn_paused.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/spawn_paused.py @@ -1,12 +1,12 @@ -"""Per-search-space spawn-paused kill switch for the ``task`` boundary. +"""Per-workspace spawn-paused kill switch for the ``task`` boundary. When operators see a runaway loop, a vendor outage, or a billing event that requires immediate cessation of subagent traffic for a specific workspace, they flip a Redis flag and the ``task`` tool short-circuits -without touching downstream services. The flag is **per-search-space** +without touching downstream services. The flag is **per-workspace** so one tenant's incident never silences the rest of the deployment. -Flag key: ``surfsense:spawn_paused:{search_space_id}`` +Flag key: ``surfsense:spawn_paused:{workspace_id}`` Flag value: any string-truthy value (we read presence, not contents). TTL: set by whoever toggles the flag — this module never expires keys on its own, since "the flag is on" is itself the signal @@ -43,18 +43,18 @@ _DISABLED = os.environ.get( } -def _flag_key(search_space_id: int) -> str: - return f"surfsense:spawn_paused:{search_space_id}" +def _flag_key(workspace_id: int) -> str: + return f"surfsense:spawn_paused:{workspace_id}" -async def is_spawn_paused(search_space_id: int | None) -> bool: +async def is_spawn_paused(workspace_id: int | None) -> bool: """Return ``True`` iff the workspace's spawn-paused flag is set in Redis. - A ``None`` search-space (e.g. dev paths that did not plumb the id + A ``None`` workspace (e.g. dev paths that did not plumb the id through yet) bypasses the check. So does a Redis outage — see module docstring for the fail-open rationale. """ - if _DISABLED or search_space_id is None: + if _DISABLED or workspace_id is None: return False try: # Local import keeps the cold-path import cheap and lets routes @@ -63,7 +63,7 @@ async def is_spawn_paused(search_space_id: int | None) -> bool: client = aioredis.from_url(config.REDIS_APP_URL, decode_responses=True) try: - raw = await client.get(_flag_key(search_space_id)) + raw = await client.get(_flag_key(workspace_id)) finally: # ``aclose()`` is the async-safe variant on redis-py >=5; fall back # to ``close()`` for older clients pinned in tests. @@ -74,8 +74,8 @@ async def is_spawn_paused(search_space_id: int | None) -> bool: return bool(raw) except Exception: logger.warning( - "spawn_paused check failed for search_space_id=%s; failing open.", - search_space_id, + "spawn_paused check failed for workspace_id=%s; failing open.", + workspace_id, exc_info=True, ) return False diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/task_tool.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/task_tool.py index 6698211f7..cc5ebaa98 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/task_tool.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/checkpointed_subagent_middleware/task_tool.py @@ -23,6 +23,7 @@ from langchain_core.tools import StructuredTool from langgraph.errors import GraphInterrupt from langgraph.types import Command, Interrupt +from app.agents.chat.multi_agent_chat.constants import LEGACY_SUBAGENT_ALIASES from app.agents.chat.multi_agent_chat.subagents.shared.invocation import ( EXCLUDED_STATE_KEYS, subagent_invoke_config, @@ -142,7 +143,7 @@ def build_task_tool_with_parent_config( subagents: list[dict[str, Any]], task_description: str | None = None, *, - search_space_id: int | None = None, + workspace_id: int | None = None, resolve_subagent: Callable[[str], Runnable] | None = None, ) -> BaseTool: """Upstream ``_build_task_tool`` + parent ``runtime.config`` propagation + resume bridging. @@ -157,6 +158,26 @@ def build_task_tool_with_parent_config( case a trivial dict-backed resolver is used. """ subagent_names: set[str] = {spec["name"] for spec in subagents} + + def _canonical_subagent_type(subagent_type: str) -> str: + """Resolve a legacy connector subagent name to its consolidated route. + + Only rewrites when the requested name is unavailable but its alias is + (checkpoint resume of a pre-consolidation ``task(...)`` call). Current + routing never emits legacy names, so live traffic is untouched. + """ + if subagent_type in subagent_names: + return subagent_type + alias = LEGACY_SUBAGENT_ALIASES.get(subagent_type) + if alias is not None and alias in subagent_names: + logger.info( + "[hitl_route] aliasing legacy subagent %r -> %r", + subagent_type, + alias, + ) + return alias + return subagent_type + if resolve_subagent is None: _eager_graphs: dict[str, Runnable] = { spec["name"]: spec["runnable"] for spec in subagents if "runnable" in spec @@ -482,6 +503,7 @@ def build_task_tool_with_parent_config( batched HITL is intentionally out of scope. """ async with semaphore: + subagent_type = _canonical_subagent_type(subagent_type) if subagent_type not in subagent_names: allowed_types = ", ".join([f"`{k}`" for k in subagent_names]) return ( @@ -658,6 +680,7 @@ def build_task_tool_with_parent_config( "task: must provide either single-mode (`description`+`subagent_type`) " "or batch-mode (`tasks`)." ) + subagent_type = _canonical_subagent_type(subagent_type) if subagent_type not in subagent_names: allowed_types = ", ".join([f"`{k}`" for k in subagent_names]) return ( @@ -829,10 +852,10 @@ def build_task_tool_with_parent_config( atask_start = time.perf_counter() # Ops kill switch: short-circuit every task() call for this workspace # so the orchestrator stops hammering downstream APIs. - if await is_spawn_paused(search_space_id): + if await is_spawn_paused(workspace_id): logger.warning( - "[hitl_route] atask SPAWN_PAUSED: search_space_id=%s tool_call_id=%s", - search_space_id, + "[hitl_route] atask SPAWN_PAUSED: workspace_id=%s tool_call_id=%s", + workspace_id, runtime.tool_call_id, ) return ( @@ -867,6 +890,7 @@ def build_task_tool_with_parent_config( subagent_type, runtime.tool_call_id, ) + subagent_type = _canonical_subagent_type(subagent_type) if subagent_type not in subagent_names: allowed_types = ", ".join([f"`{k}`" for k in subagent_names]) return ( diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/context_editing/builder.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/context_editing/builder.py index 1d7a2f47f..784cb36f7 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/context_editing/builder.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/context_editing/builder.py @@ -3,7 +3,6 @@ from __future__ import annotations from collections.abc import Sequence -from typing import Any from langchain_core.tools import BaseTool @@ -25,7 +24,7 @@ def build_context_editing_mw( flags: AgentFeatureFlags, max_input_tokens: int | None, tools: Sequence[BaseTool], - backend_resolver: Any, + workspace_id: int | None = None, ) -> SpillingContextEditingMiddleware | None: if not enabled(flags, "enable_context_editing") or not max_input_tokens: return None @@ -46,5 +45,5 @@ def build_context_editing_mw( ) return SpillingContextEditingMiddleware( edits=[spill_edit, clear_edit], - backend_resolver=backend_resolver, + workspace_id=workspace_id, ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/context_editing/middleware.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/context_editing/middleware.py index 39bc57c8b..32ace056a 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/context_editing/middleware.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/context_editing/middleware.py @@ -4,25 +4,31 @@ SpillToBackendEdit + SpillingContextEditingMiddleware. LangChain's :class:`ClearToolUsesEdit` discards old ``ToolMessage.content`` when the context-editing budget triggers, replacing the body with a fixed placeholder. That's lossy: anything the agent might want to revisit is -gone. The spill-to-disk pattern (originally from OpenCode's +gone. The spill pattern (originally from OpenCode's ``opencode/packages/opencode/src/tool/truncate.ts``) keeps the prune -behavior but writes the full original payload to the runtime backend -under ``/tool_outputs/{thread_id}/{message_id}.txt`` first. The -placeholder is then upgraded to point at the spill path so the agent -(or a subagent) can read it back on demand. +behavior but persists the full original payload first — to the +``tool_output_spills`` table — and upgrades the placeholder to a +``spill_`` reference the agent can read back with the shared +``read_run``/``search_run`` tools on demand. + +Why the DB and not the runtime filesystem backend: the previous version +wrote via ``backend.aupload_files``, which is a no-op on cloud +(``KBPostgresBackend`` raises ``NotImplementedError``) and mismatched on +desktop (paths must be ``/{mount_id}/...``), so spills were unrecoverable +in production. A table works on every deployment and needs no sandbox. Why this is a middleware subclass instead of a plain ``ContextEdit``: -``ContextEdit.apply`` is sync, but writing to the backend is async. We -capture the spill payloads inside ``apply`` and flush them via -``await backend.aupload_files(...)`` from ``awrap_model_call`` *before* -delegating to the handler, so the explore subagent can always read what -the placeholder advertises. +``ContextEdit.apply`` is sync, but the DB write is async. We generate the +spill id and capture the payload inside ``apply`` (so the placeholder can +reference the final id immediately) and flush the rows from +``awrap_model_call`` *before* delegating to the handler. """ from __future__ import annotations import logging import threading +import uuid from collections.abc import Awaitable, Callable, Sequence from copy import deepcopy from dataclasses import dataclass, field @@ -44,7 +50,6 @@ from langchain_core.messages.utils import count_tokens_approximately from langgraph.config import get_config if TYPE_CHECKING: - from deepagents.backends.protocol import BackendProtocol from langchain.agents.middleware.types import ( ModelRequest, ModelResponse, @@ -52,24 +57,27 @@ if TYPE_CHECKING: logger = logging.getLogger(__name__) -DEFAULT_SPILL_PREFIX = "/tool_outputs" +# Namespace for deterministic spill ids: the same (thread, message) always maps +# to the same row, so re-running the edit on later model calls (edits apply to a +# per-call copy of the messages, never to persisted state) re-references the +# existing spill instead of inserting a duplicate every turn. +_SPILL_NAMESPACE = uuid.UUID("6ba7b810-9dad-11d1-80b4-00c04fd430c8") -def _build_spill_placeholder(spill_path: str) -> str: +def _spill_id_for(thread_id: str | None, message_key: str) -> uuid.UUID: + return uuid.uuid5(_SPILL_NAMESPACE, f"{thread_id or 'no_thread'}:{message_key}") + + +def _build_spill_placeholder(spill_id: uuid.UUID) -> str: """Build the user-facing placeholder text shown to the model.""" return ( - f"[cleared — full output at {spill_path}; ask the explore subagent to read it]" + f"[cleared — full output stored as spill_{spill_id}; " + "use read_run/search_run to read it]" ) -def _get_thread_id_or_session() -> str: - """Best-effort thread_id discovery for the spill path. - - Falls back to a process-stable string if no LangGraph config is - available (e.g. unit tests). The exact value doesn't matter as long - as it's stable within one stream so the placeholder paths line up - with the actual upload path. - """ +def _get_thread_id() -> str | None: + """Best-effort ``configurable.thread_id`` for the spill row (``None`` if absent).""" try: config = get_config() thread_id = config.get("configurable", {}).get("thread_id") @@ -77,17 +85,18 @@ def _get_thread_id_or_session() -> str: return str(thread_id) except RuntimeError: pass - return "no_thread" + return None @dataclass(slots=True) class SpillToBackendEdit(ContextEdit): - """Capture-and-replace context edit that spills full tool output to the backend. + """Capture-and-replace context edit that spills full tool output to the DB. Behaves like :class:`ClearToolUsesEdit` (same trigger / keep / exclude semantics) **and** records the original ``ToolMessage.content`` in - :attr:`pending_spills` so the wrapping middleware can flush them - before the model call. + :attr:`pending_spills` so the wrapping middleware can flush the rows to + ``tool_output_spills`` before the model call. The spill id is generated up + front so the placeholder can reference it immediately. Args: trigger: Token threshold above which the edit fires. @@ -97,8 +106,6 @@ class SpillToBackendEdit(ContextEdit): exclude_tools: Names of tools whose output is NOT spilled. clear_tool_inputs: Also clear the originating ``AIMessage.tool_calls`` args when their pair is cleared. - path_prefix: Path under the backend where spills are written. - Default ``"/tool_outputs"``. """ trigger: int = 100_000 @@ -106,12 +113,16 @@ class SpillToBackendEdit(ContextEdit): keep: int = 3 clear_tool_inputs: bool = False exclude_tools: Sequence[str] = () - path_prefix: str = DEFAULT_SPILL_PREFIX - pending_spills: list[tuple[str, bytes]] = field(default_factory=list) + # (spill_id, content_bytes, tool_name, thread_id) + pending_spills: list[tuple[uuid.UUID, bytes, str | None, str | None]] = field( + default_factory=list + ) _lock: threading.Lock = field(default_factory=threading.Lock) - def drain_pending(self) -> list[tuple[str, bytes]]: + def drain_pending( + self, + ) -> list[tuple[uuid.UUID, bytes, str | None, str | None]]: """Return and clear the pending-spill list atomically.""" with self._lock: out = list(self.pending_spills) @@ -139,7 +150,7 @@ class SpillToBackendEdit(ContextEdit): if self.keep: candidates = candidates[: -self.keep] - thread_id = _get_thread_id_or_session() + thread_id = _get_thread_id() excluded_tools = set(self.exclude_tools) for idx, tool_message in candidates: @@ -168,24 +179,23 @@ class SpillToBackendEdit(ContextEdit): if tool_name in excluded_tools: continue - message_id = tool_message.id or tool_message.tool_call_id or "unknown" - spill_path = f"{self.path_prefix}/{thread_id}/{message_id}.txt" - + message_key = tool_message.id or tool_message.tool_call_id or "unknown" + spill_id = _spill_id_for(thread_id, message_key) original = tool_message.content payload = self._encode_payload(original) with self._lock: - self.pending_spills.append((spill_path, payload)) + self.pending_spills.append((spill_id, payload, tool_name, thread_id)) messages[idx] = tool_message.model_copy( update={ "artifact": None, - "content": _build_spill_placeholder(spill_path), + "content": _build_spill_placeholder(spill_id), "response_metadata": { **tool_message.response_metadata, "context_editing": { "cleared": True, - "strategy": "spill_to_backend", - "spill_path": spill_path, + "strategy": "spill_to_db", + "spill_id": str(spill_id), }, }, } @@ -243,52 +253,30 @@ class SpillToBackendEdit(ContextEdit): ) -BackendResolver = "Callable[[Any], BackendProtocol] | BackendProtocol" - - class SpillingContextEditingMiddleware(ContextEditingMiddleware): """:class:`ContextEditingMiddleware` that flushes :class:`SpillToBackendEdit` writes. - Runs the configured edits as the parent does, then flushes any - pending spills via the supplied backend resolver before delegating - to the model handler. Spill failures are logged but never abort the - model call — the placeholder text is already in the message, so the - worst case is the agent gets a placeholder it cannot follow up on. + Runs the configured edits as the parent does, then persists any pending + spills to ``tool_output_spills`` before delegating to the model handler. + Spill failures are logged but never abort the model call — the placeholder + text is already in the message, so the worst case is the agent gets a + placeholder it cannot follow up on. """ def __init__( self, *, edits: Sequence[ContextEdit], - backend_resolver: BackendResolver | None = None, + workspace_id: int | None = None, token_count_method: str = "approximate", ) -> None: super().__init__(edits=list(edits), token_count_method=token_count_method) # type: ignore[arg-type] - self._backend_resolver = backend_resolver + self._workspace_id = workspace_id - def _resolve_backend(self, request: ModelRequest) -> BackendProtocol | None: - if self._backend_resolver is None: - return None - if callable(self._backend_resolver): - try: - from langchain.tools import ToolRuntime - - tool_runtime = ToolRuntime( - state=getattr(request, "state", {}), - context=getattr(request.runtime, "context", None), - stream_writer=getattr(request.runtime, "stream_writer", None), - store=getattr(request.runtime, "store", None), - config=getattr(request.runtime, "config", None) or {}, - tool_call_id=None, - ) - return self._backend_resolver(tool_runtime) - except Exception: - logger.exception("Failed to resolve spill backend") - return None - return self._backend_resolver # type: ignore[return-value] - - def _collect_pending(self) -> list[tuple[str, bytes]]: - out: list[tuple[str, bytes]] = [] + def _collect_pending( + self, + ) -> list[tuple[uuid.UUID, bytes, str | None, str | None]]: + out: list[tuple[uuid.UUID, bytes, str | None, str | None]] = [] for edit in self.edits: if isinstance(edit, SpillToBackendEdit): out.extend(edit.drain_pending()) @@ -321,28 +309,37 @@ class SpillingContextEditingMiddleware(ContextEditingMiddleware): pending = self._collect_pending() if pending: - backend = self._resolve_backend(request) - if backend is not None: - try: - await backend.aupload_files(pending) - except Exception: - logger.exception( - "Spill-to-backend upload failed (%d files); placeholders " - "remain in messages but content is unrecoverable", - len(pending), - ) - else: - logger.warning( - "SpillToBackendEdit produced %d pending spills but no backend " - "resolver was configured; content is unrecoverable", - len(pending), - ) + await self._flush_spills(pending) return await handler(request.override(messages=edited_messages)) + async def _flush_spills( + self, pending: list[tuple[uuid.UUID, bytes, str | None, str | None]] + ) -> None: + """Persist spilled tool outputs to the DB (best-effort).""" + from app.capabilities.core.runs import record_spill + from app.db import async_session_maker + + try: + async with async_session_maker() as session: + for spill_id, payload, tool_name, thread_id in pending: + await record_spill( + session, + spill_id=spill_id, + content=payload.decode("utf-8", errors="replace"), + workspace_id=self._workspace_id, + thread_id=thread_id, + tool_name=tool_name, + ) + except Exception: + logger.exception( + "Spill-to-DB flush failed (%d rows); placeholders remain in " + "messages but content is unrecoverable", + len(pending), + ) + __all__ = [ - "DEFAULT_SPILL_PREFIX", "ClearToolUsesEdit", "SpillToBackendEdit", "SpillingContextEditingMiddleware", diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/kb_persistence/builder.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/kb_persistence/builder.py index 7e8e06570..eea2a1073 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/kb_persistence/builder.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/kb_persistence/builder.py @@ -12,14 +12,14 @@ from .middleware import ( def build_kb_persistence_mw( *, filesystem_mode: FilesystemMode, - search_space_id: int, + workspace_id: int, user_id: str | None, thread_id: int | None, ) -> KnowledgeBasePersistenceMiddleware | None: if filesystem_mode != FilesystemMode.CLOUD: return None return KnowledgeBasePersistenceMiddleware( - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user_id, filesystem_mode=filesystem_mode, thread_id=thread_id, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/kb_persistence/middleware.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/kb_persistence/middleware.py index a6c83a7d4..7d6694523 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/kb_persistence/middleware.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/kb_persistence/middleware.py @@ -83,11 +83,11 @@ def _basename(path: str) -> str: async def _ensure_folder_hierarchy( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, created_by_id: str | None, folder_parts: list[str], ) -> int | None: - """Ensure a chain of folder names exists under the search space. + """Ensure a chain of folder names exists under the workspace. Returns the leaf folder id, or ``None`` if ``folder_parts`` is empty (i.e. a document directly under ``/documents/``). @@ -98,7 +98,7 @@ async def _ensure_folder_hierarchy( for raw in folder_parts: name = safe_folder_segment(str(raw)) query = select(Folder).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.name == name, ) if parent_id is None: @@ -111,9 +111,7 @@ async def _ensure_folder_hierarchy( sibling_query = ( select(Folder.position).order_by(Folder.position.desc()).limit(1) ) - sibling_query = sibling_query.where( - Folder.search_space_id == search_space_id - ) + sibling_query = sibling_query.where(Folder.workspace_id == workspace_id) if parent_id is None: sibling_query = sibling_query.where(Folder.parent_id.is_(None)) else: @@ -124,7 +122,7 @@ async def _ensure_folder_hierarchy( name=name, position=generate_key_between(last_position, None), parent_id=parent_id, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=created_by_id, updated_at=datetime.now(UTC), ) @@ -137,7 +135,7 @@ async def _ensure_folder_hierarchy( async def _resolve_folder_id( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, folder_parts: list[str], ) -> int | None: """Look up an existing folder chain without creating anything. @@ -151,7 +149,7 @@ async def _resolve_folder_id( for raw in folder_parts: name = safe_folder_segment(str(raw)) query = select(Folder).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.name == name, ) query = ( @@ -185,7 +183,7 @@ async def _create_document( *, virtual_path: str, content: str, - search_space_id: int, + workspace_id: int, created_by_id: str | None, ) -> Document: """Create a NOTE Document + Chunks for ``virtual_path``.""" @@ -194,21 +192,21 @@ async def _create_document( raise ValueError(f"invalid /documents path '{virtual_path}'") folder_id = await _ensure_folder_hierarchy( session, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=created_by_id, folder_parts=folder_parts, ) unique_identifier_hash = generate_unique_identifier_hash( DocumentType.NOTE, virtual_path, - search_space_id, + workspace_id, ) # Pre-check the path-derived unique_identifier_hash so a duplicate path # surfaces as a clean ValueError instead of an INSERT IntegrityError that # poisons the session. Content is intentionally not unique (cp a b). path_collision = await session.execute( select(Document.id).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.unique_identifier_hash == unique_identifier_hash, ) ) @@ -217,7 +215,7 @@ async def _create_document( f"a document already exists at path '{virtual_path}' " "(unique_identifier_hash collision)" ) - content_hash = generate_content_hash(content, search_space_id) + content_hash = generate_content_hash(content, workspace_id) doc = Document( title=title, document_type=DocumentType.NOTE, @@ -226,7 +224,7 @@ async def _create_document( content_hash=content_hash, unique_identifier_hash=unique_identifier_hash, source_markdown=content, - search_space_id=search_space_id, + workspace_id=workspace_id, folder_id=folder_id, created_by_id=created_by_id, updated_at=datetime.now(UTC), @@ -261,13 +259,13 @@ async def _update_document( doc_id: int, content: str, virtual_path: str, - search_space_id: int, + workspace_id: int, ) -> Document | None: """Update an existing Document's content + chunks.""" result = await session.execute( select(Document).where( Document.id == doc_id, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) document = result.scalar_one_or_none() @@ -276,7 +274,7 @@ async def _update_document( document.content = content document.source_markdown = content - document.content_hash = generate_content_hash(content, search_space_id) + document.content_hash = generate_content_hash(content, workspace_id) document.updated_at = datetime.now(UTC) metadata = dict(document.document_metadata or {}) metadata["virtual_path"] = virtual_path @@ -284,7 +282,7 @@ async def _update_document( document.unique_identifier_hash = generate_unique_identifier_hash( DocumentType.NOTE, virtual_path, - search_space_id, + workspace_id, ) summary_embedding = (await asyncio.to_thread(embed_texts, [content]))[0] @@ -318,7 +316,7 @@ async def _update_document( async def _apply_move( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, created_by_id: str | None, move: dict[str, Any], doc_id_by_path: dict[str, int], @@ -341,14 +339,14 @@ async def _apply_move( result = await session.execute( select(Document).where( Document.id == doc_id, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) document = result.scalar_one_or_none() if document is None: document = await virtual_path_to_doc( session, - search_space_id=search_space_id, + workspace_id=workspace_id, virtual_path=source, ) if document is None: @@ -364,7 +362,7 @@ async def _apply_move( return None folder_id = await _ensure_folder_hierarchy( session, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=created_by_id, folder_parts=folder_parts, ) @@ -377,7 +375,7 @@ async def _apply_move( document.unique_identifier_hash = generate_unique_identifier_hash( DocumentType.NOTE, dest, - search_space_id, + workspace_id, ) document.updated_at = datetime.now(UTC) @@ -501,7 +499,7 @@ async def _snapshot_document_pre_write( *, doc: Document, action_id: int | None, - search_space_id: int, + workspace_id: int, turn_id: str | None = None, deferred_dispatches: list[int] | None = None, ) -> int | None: @@ -517,7 +515,7 @@ async def _snapshot_document_pre_write( payload = _doc_revision_payload(doc, chunks_before=chunks) rev = DocumentRevision( document_id=doc.id, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_turn_id=turn_id, agent_action_id=action_id, **payload, @@ -544,7 +542,7 @@ async def _snapshot_document_pre_create( session: AsyncSession, *, action_id: int | None, - search_space_id: int, + workspace_id: int, turn_id: str | None = None, deferred_dispatches: list[int] | None = None, ) -> int | None: @@ -558,7 +556,7 @@ async def _snapshot_document_pre_create( async with session.begin_nested(): rev = DocumentRevision( document_id=None, - search_space_id=search_space_id, + workspace_id=workspace_id, content_before=None, title_before=None, folder_id_before=None, @@ -586,7 +584,7 @@ async def _snapshot_document_pre_move( *, doc: Document, action_id: int | None, - search_space_id: int, + workspace_id: int, turn_id: str | None = None, deferred_dispatches: list[int] | None = None, ) -> int | None: @@ -596,7 +594,7 @@ async def _snapshot_document_pre_move( payload = _doc_revision_payload(doc, chunks_before=None) rev = DocumentRevision( document_id=doc.id, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_turn_id=turn_id, agent_action_id=action_id, **payload, @@ -624,7 +622,7 @@ async def _snapshot_folder_pre_mkdir( *, folder: Folder, action_id: int | None, - search_space_id: int, + workspace_id: int, turn_id: str | None = None, deferred_dispatches: list[int] | None = None, ) -> int | None: @@ -637,7 +635,7 @@ async def _snapshot_folder_pre_mkdir( async with session.begin_nested(): rev = FolderRevision( folder_id=folder.id, - search_space_id=search_space_id, + workspace_id=workspace_id, name_before=None, parent_id_before=None, position_before=None, @@ -670,7 +668,7 @@ async def _snapshot_folder_pre_mkdir( async def commit_staged_filesystem_state( state: dict[str, Any] | AgentState, *, - search_space_id: int, + workspace_id: int, created_by_id: str | None, filesystem_mode: FilesystemMode = FilesystemMode.CLOUD, thread_id: int | None = None, @@ -814,7 +812,7 @@ async def commit_staged_filesystem_state( continue folder_id = await _ensure_folder_hierarchy( session, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=created_by_id, folder_parts=folder_parts_full, ) @@ -833,7 +831,7 @@ async def commit_staged_filesystem_state( session, folder=folder_row, action_id=action_id, - search_space_id=search_space_id, + workspace_id=workspace_id, turn_id=tcid, deferred_dispatches=deferred_dispatches, ) @@ -851,14 +849,14 @@ async def commit_staged_filesystem_state( res_pre = await session.execute( select(Document).where( Document.id == doc_id_pre, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) document_pre = res_pre.scalar_one_or_none() if document_pre is None: document_pre = await virtual_path_to_doc( session, - search_space_id=search_space_id, + workspace_id=workspace_id, virtual_path=source, ) if document_pre is not None: @@ -866,14 +864,14 @@ async def commit_staged_filesystem_state( session, doc=document_pre, action_id=action_id, - search_space_id=search_space_id, + workspace_id=workspace_id, turn_id=tcid, deferred_dispatches=deferred_dispatches, ) applied = await _apply_move( session, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=created_by_id, move=move, doc_id_by_path=doc_id_by_path, @@ -937,7 +935,7 @@ async def commit_staged_filesystem_state( # INSERT (which would hit the path-derived unique hash). existing = await virtual_path_to_doc( session, - search_space_id=search_space_id, + workspace_id=workspace_id, virtual_path=path, ) if existing is not None: @@ -948,7 +946,7 @@ async def commit_staged_filesystem_state( result_doc = await session.execute( select(Document).where( Document.id == doc_id, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) existing_doc = result_doc.scalar_one_or_none() @@ -957,7 +955,7 @@ async def commit_staged_filesystem_state( session, doc=existing_doc, action_id=action_id, - search_space_id=search_space_id, + workspace_id=workspace_id, turn_id=tcid, deferred_dispatches=deferred_dispatches, ) @@ -966,7 +964,7 @@ async def commit_staged_filesystem_state( doc_id=doc_id, content=content, virtual_path=path, - search_space_id=search_space_id, + workspace_id=workspace_id, ) if updated is not None: committed_updates.append( @@ -974,7 +972,7 @@ async def commit_staged_filesystem_state( "id": updated.id, "title": updated.title, "documentType": DocumentType.NOTE.value, - "searchSpaceId": search_space_id, + "workspaceId": workspace_id, "folderId": updated.folder_id, "createdById": str(created_by_id) if created_by_id @@ -991,7 +989,7 @@ async def commit_staged_filesystem_state( placeholder_revision_id = await _snapshot_document_pre_create( session, action_id=action_id, - search_space_id=search_space_id, + workspace_id=workspace_id, turn_id=tcid, deferred_dispatches=deferred_dispatches, ) @@ -1001,7 +999,7 @@ async def commit_staged_filesystem_state( session, virtual_path=path, content=content, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=created_by_id, ) except ValueError as exc: @@ -1045,7 +1043,7 @@ async def commit_staged_filesystem_state( "id": new_doc.id, "title": new_doc.title, "documentType": DocumentType.NOTE.value, - "searchSpaceId": search_space_id, + "workspaceId": workspace_id, "folderId": new_doc.folder_id, "createdById": str(created_by_id) if created_by_id @@ -1069,14 +1067,14 @@ async def commit_staged_filesystem_state( result = await session.execute( select(Document).where( Document.id == doc_id_for_delete, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) document_to_delete = result.scalar_one_or_none() if document_to_delete is None: document_to_delete = await virtual_path_to_doc( session, - search_space_id=search_space_id, + workspace_id=workspace_id, virtual_path=final, ) if document_to_delete is None: @@ -1100,7 +1098,7 @@ async def commit_staged_filesystem_state( ) rev = DocumentRevision( document_id=doc_pk, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_turn_id=tcid, agent_action_id=action_id, **payload, @@ -1130,7 +1128,7 @@ async def commit_staged_filesystem_state( "id": doc_pk, "title": doc_title, "documentType": DocumentType.NOTE.value, - "searchSpaceId": search_space_id, + "workspaceId": workspace_id, "folderId": doc_folder_id, "createdById": str(created_by_id) if created_by_id else None, "virtualPath": final, @@ -1151,7 +1149,7 @@ async def commit_staged_filesystem_state( continue folder_id = await _resolve_folder_id( session, - search_space_id=search_space_id, + workspace_id=workspace_id, folder_parts=folder_parts, ) if folder_id is None: @@ -1163,7 +1161,7 @@ async def commit_staged_filesystem_state( docs_in_folder = await session.execute( select(Document.id) .where(Document.folder_id == folder_id) - .where(Document.search_space_id == search_space_id) + .where(Document.workspace_id == workspace_id) .limit(1) ) if docs_in_folder.scalar_one_or_none() is not None: @@ -1175,7 +1173,7 @@ async def commit_staged_filesystem_state( child_folders = await session.execute( select(Folder.id) .where(Folder.parent_id == folder_id) - .where(Folder.search_space_id == search_space_id) + .where(Folder.workspace_id == workspace_id) .limit(1) ) if child_folders.scalar_one_or_none() is not None: @@ -1203,7 +1201,7 @@ async def commit_staged_filesystem_state( if snapshot_enabled and action_id is not None: rev = FolderRevision( folder_id=folder_pk, - search_space_id=search_space_id, + workspace_id=workspace_id, name_before=folder_name, parent_id_before=folder_parent_id, position_before=folder_position, @@ -1232,7 +1230,7 @@ async def commit_staged_filesystem_state( { "id": folder_pk, "name": folder_name, - "searchSpaceId": search_space_id, + "workspaceId": workspace_id, "parentId": folder_parent_id, "virtualPath": final, } @@ -1241,9 +1239,7 @@ async def commit_staged_filesystem_state( await session.commit() except Exception: # pragma: no cover - rollback safety net - logger.exception( - "kb_persistence: commit failed (search_space=%s)", search_space_id - ) + logger.exception("kb_persistence: commit failed (workspace=%s)", workspace_id) # Outer commit raised: everything above rolled back, so drop the # deferred dispatches. deferred_dispatches.clear() @@ -1402,9 +1398,9 @@ async def commit_staged_filesystem_state( _ = turn_id_for_revision # diagnostic-only; silence unused lint logger.info( - "kb_persistence: commit (search_space=%s) creates=%d updates=%d " + "kb_persistence: commit (workspace=%s) creates=%d updates=%d " "moves=%d staged_dirs=%d deletes=%d folder_deletes=%d discarded=%d", - search_space_id, + workspace_id, len(committed_creates), len(committed_updates), len(applied_moves), @@ -1430,12 +1426,12 @@ class KnowledgeBasePersistenceMiddleware(AgentMiddleware): # type: ignore[type- def __init__( self, *, - search_space_id: int, + workspace_id: int, created_by_id: str | None, filesystem_mode: FilesystemMode, thread_id: int | None = None, ) -> None: - self.search_space_id = search_space_id + self.workspace_id = workspace_id self.created_by_id = created_by_id self.filesystem_mode = filesystem_mode self.thread_id = thread_id @@ -1450,7 +1446,7 @@ class KnowledgeBasePersistenceMiddleware(AgentMiddleware): # type: ignore[type- return None return await commit_staged_filesystem_state( state, - search_space_id=self.search_space_id, + workspace_id=self.workspace_id, created_by_id=self.created_by_id, filesystem_mode=self.filesystem_mode, thread_id=self._resolve_thread_id(), diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/knowledge_tree/builder.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/knowledge_tree/builder.py index 644d1e55a..af5188237 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/knowledge_tree/builder.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/knowledge_tree/builder.py @@ -12,13 +12,13 @@ from .middleware import KnowledgeTreeMiddleware def build_knowledge_tree_mw( *, filesystem_mode: FilesystemMode, - search_space_id: int, + workspace_id: int, llm: BaseChatModel, ) -> KnowledgeTreeMiddleware | None: if filesystem_mode != FilesystemMode.CLOUD: return None return KnowledgeTreeMiddleware( - search_space_id=search_space_id, + workspace_id=workspace_id, filesystem_mode=filesystem_mode, llm=llm, inject_system_message=False, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/knowledge_tree/middleware.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/knowledge_tree/middleware.py index a0c62834a..27c271c15 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/knowledge_tree/middleware.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/knowledge_tree/middleware.py @@ -1,7 +1,7 @@ """Workspace-tree middleware for the SurfSense agent. Renders the full ``Folder``+``Document`` tree under ``/documents/`` once per -turn (cloud only), caches it by ``(search_space_id, tree_version)``, and +turn (cloud only), caches it by ``(workspace_id, tree_version)``, and injects the result as a ```` system message immediately before the latest human turn. @@ -106,14 +106,14 @@ class KnowledgeTreeMiddleware(AgentMiddleware): # type: ignore[type-arg] def __init__( self, *, - search_space_id: int, + workspace_id: int, filesystem_mode: FilesystemMode, llm: BaseChatModel | None = None, max_entries: int = MAX_TREE_ENTRIES, max_tokens: int = MAX_TREE_TOKENS, inject_system_message: bool = True, # For backwards compatibility ) -> None: - self.search_space_id = search_space_id + self.workspace_id = workspace_id self.filesystem_mode = filesystem_mode self.llm = llm self.max_entries = max_entries @@ -141,7 +141,7 @@ class KnowledgeTreeMiddleware(AgentMiddleware): # type: ignore[type-arg] cache_outcome = "anon" else: version = int(state.get("tree_version") or 0) - cache_key = (self.search_space_id, version, False) + cache_key = (self.workspace_id, version, False) cache_outcome = "hit" if cache_key in self._cache else "miss" tree_msg = await self._render_kb_tree(state) @@ -158,7 +158,7 @@ class KnowledgeTreeMiddleware(AgentMiddleware): # type: ignore[type-arg] cache_outcome, len(tree_msg), time.perf_counter() - start, - self.search_space_id, + self.workspace_id, ) return update @@ -190,17 +190,17 @@ class KnowledgeTreeMiddleware(AgentMiddleware): # type: ignore[type-arg] async def _render_kb_tree(self, state: AgentState) -> str: version = int(state.get("tree_version") or 0) - cache_key = (self.search_space_id, version, False) + cache_key = (self.workspace_id, version, False) cached = self._cache.get(cache_key) if cached is not None: return cached try: async with shielded_async_session() as session: - index = await build_path_index(session, self.search_space_id) + index = await build_path_index(session, self.workspace_id) doc_rows = await session.execute( select(Document.id, Document.title, Document.folder_id).where( - Document.search_space_id == self.search_space_id + Document.workspace_id == self.workspace_id ) ) docs = list(doc_rows.all()) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/memory/builder.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/memory/builder.py index 4ea171e13..1b0535b85 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/memory/builder.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/memory/builder.py @@ -10,11 +10,11 @@ from .middleware import MemoryInjectionMiddleware def build_memory_mw( *, user_id: str | None, - search_space_id: int, + workspace_id: int, visibility: ChatVisibility, ) -> MemoryInjectionMiddleware: return MemoryInjectionMiddleware( user_id=user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, thread_visibility=visibility, ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/memory/middleware.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/memory/middleware.py index 9d0fd26a1..7b4e9d369 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/memory/middleware.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/memory/middleware.py @@ -18,7 +18,7 @@ from langgraph.runtime import Runtime from sqlalchemy import select from sqlalchemy.ext.asyncio import AsyncSession -from app.db import ChatVisibility, SearchSpace, User, shielded_async_session +from app.db import ChatVisibility, User, Workspace, shielded_async_session from app.services.memory import MEMORY_HARD_LIMIT, MEMORY_SOFT_LIMIT from app.utils.perf import get_perf_logger @@ -35,11 +35,11 @@ class MemoryInjectionMiddleware(AgentMiddleware): # type: ignore[type-arg] self, *, user_id: str | UUID | None, - search_space_id: int, + workspace_id: int, thread_visibility: ChatVisibility | None = None, ) -> None: self.user_id = UUID(user_id) if isinstance(user_id, str) else user_id - self.search_space_id = search_space_id + self.workspace_id = workspace_id self.visibility = thread_visibility or ChatVisibility.PRIVATE async def abefore_agent( # type: ignore[override] @@ -149,8 +149,8 @@ class MemoryInjectionMiddleware(AgentMiddleware): # type: ignore[type-arg] async def _load_team_memory(self, session: AsyncSession) -> str | None: try: result = await session.execute( - select(SearchSpace.shared_memory_md).where( - SearchSpace.id == self.search_space_id + select(Workspace.shared_memory_md).where( + Workspace.id == self.workspace_id ) ) row = result.scalar_one_or_none() diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/plugins.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/plugins.py index 43f4136ec..da8f92a53 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/plugins.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/plugins.py @@ -21,7 +21,7 @@ from ..plugins.loader import ( def build_plugin_middlewares( *, flags: AgentFeatureFlags, - search_space_id: int, + workspace_id: int, user_id: str | None, visibility: ChatVisibility, llm: BaseChatModel, @@ -34,7 +34,7 @@ def build_plugin_middlewares( return [] return load_plugin_middlewares( PluginContext.build( - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, thread_visibility=visibility, llm=llm, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/skills.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/skills.py index 13c62e817..38fb50a24 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/skills.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/skills.py @@ -17,13 +17,13 @@ def build_skills_mw( *, flags: AgentFeatureFlags, filesystem_mode: FilesystemMode, - search_space_id: int, + workspace_id: int, ) -> SkillsMiddleware | None: if not enabled(flags, "enable_skills"): return None try: skills_factory = build_skills_backend_factory( - search_space_id=search_space_id + workspace_id=workspace_id if filesystem_mode == FilesystemMode.CLOUD else None, ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/stack.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/stack.py index 83053954b..7da9a7ccb 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/stack.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/middleware/stack.py @@ -7,6 +7,11 @@ retrieval are owned by the ``knowledge_base`` subagent and reached via the the main agent only sees the specialist's grounded summary. The stack here computes the workspace tree, commits any subagent-side staged writes at end of turn (cloud mode), and wires the supporting middleware. + +One deliberate, read-only exception to the pure-router stance: the main agent +also carries the ``read_run``/``search_run`` tools (added in ``runtime/factory``) +so it can follow the context-editing spill placeholder — evicted tool output is +persisted to ``tool_output_spills`` and the placeholder advertises those tools. """ from __future__ import annotations @@ -99,7 +104,7 @@ def build_main_agent_deepagent_middleware( tools: Sequence[BaseTool], backend_resolver: Any, filesystem_mode: FilesystemMode, - search_space_id: int, + workspace_id: int, user_id: str | None, thread_id: int | None, visibility: ChatVisibility, @@ -120,7 +125,7 @@ def build_main_agent_deepagent_middleware( memory_mw = build_memory_mw( user_id=user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, visibility=visibility, ) @@ -232,19 +237,19 @@ def build_main_agent_deepagent_middleware( ), build_knowledge_tree_mw( filesystem_mode=filesystem_mode, - search_space_id=search_space_id, + workspace_id=workspace_id, llm=llm, ), build_kb_persistence_mw( filesystem_mode=filesystem_mode, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, thread_id=thread_id, ), build_skills_mw( flags=flags, filesystem_mode=filesystem_mode, - search_space_id=search_space_id, + workspace_id=workspace_id, ), SurfSenseCheckpointedSubAgentMiddleware( checkpointer=checkpointer, @@ -252,7 +257,7 @@ def build_main_agent_deepagent_middleware( subagents=subagents, system_prompt=None, task_description=TASK_TOOL_DESCRIPTION, - search_space_id=search_space_id, + workspace_id=workspace_id, ), resilience.model_call_limit, resilience.tool_call_limit, @@ -260,7 +265,7 @@ def build_main_agent_deepagent_middleware( flags=flags, max_input_tokens=max_input_tokens, tools=tools, - backend_resolver=backend_resolver, + workspace_id=workspace_id, ), build_compaction_mw(llm), build_noop_injection_mw(flags), @@ -272,14 +277,14 @@ def build_main_agent_deepagent_middleware( build_action_log_mw( flags=flags, thread_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ), build_patch_tool_calls_mw(), build_dedup_hitl_mw(tools), *build_plugin_middlewares( flags=flags, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, visibility=visibility, llm=llm, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/plugins/loader.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/plugins/loader.py index c52620d40..ee405fb79 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/plugins/loader.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/plugins/loader.py @@ -57,7 +57,7 @@ class PluginContext(dict): Backed by ``dict`` so plugins can inspect the keys they care about without coupling to a concrete dataclass shape. Required keys: - * ``search_space_id`` (int) + * ``workspace_id`` (int) * ``user_id`` (str | None) * ``thread_visibility`` (:class:`app.db.ChatVisibility`) * ``llm`` (:class:`langchain_core.language_models.BaseChatModel`) @@ -72,13 +72,13 @@ class PluginContext(dict): def build( cls, *, - search_space_id: int, + workspace_id: int, user_id: str | None, thread_visibility: ChatVisibility, llm: BaseChatModel, ) -> PluginContext: return cls( - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, thread_visibility=thread_visibility, llm=llm, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/plugins/year_substituter.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/plugins/year_substituter.py index f6564fe6e..58a59e5ca 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/plugins/year_substituter.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/plugins/year_substituter.py @@ -7,7 +7,7 @@ result. This particular plugin is read-only and only transforms the mutation). The plugin is built as a factory function so the entry-point loader can -inject :class:`PluginContext` (containing the agent's LLM, search-space +inject :class:`PluginContext` (containing the agent's LLM, workspace ID, etc.). The factory signature ``Callable[[PluginContext], AgentMiddleware]`` is the only contract -- SurfSense doesn't define a custom plugin protocol on top of LangChain's diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/agent_cache.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/agent_cache.py index 2d3599de0..7c8d9d3d2 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/agent_cache.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/agent_cache.py @@ -42,7 +42,7 @@ async def build_agent_with_cache( final_system_prompt: str, backend_resolver: Any, filesystem_mode: FilesystemMode, - search_space_id: int, + workspace_id: int, user_id: str | None, thread_id: int | None, visibility: ChatVisibility, @@ -69,7 +69,7 @@ async def build_agent_with_cache( final_system_prompt=final_system_prompt, backend_resolver=backend_resolver, filesystem_mode=filesystem_mode, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, thread_id=thread_id, visibility=visibility, @@ -104,7 +104,7 @@ async def build_agent_with_cache( config_id, None if cross_thread else thread_id, user_id, - search_space_id, + workspace_id, visibility, filesystem_mode, anon_session_id, @@ -120,7 +120,7 @@ async def build_agent_with_cache( sorted(disabled_tools) if disabled_tools else None, # Bound into the generate_image subagent tool at construction time, so it # must key the compiled-agent cache to avoid leaking one automation's - # image model into another with the same config_id/search_space. + # image model into another with the same config_id/workspace. image_gen_model_id_override, ) return await get_cache().get_or_build(cache_key, builder=_build) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/agent_cache_store.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/agent_cache_store.py index 00866adf9..e53483566 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/agent_cache_store.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/agent_cache_store.py @@ -26,7 +26,7 @@ Why a per-thread key (not a global pool) ---------------------------------------- Most middleware in the SurfSense stack captures per-thread state in -``__init__`` closures (``thread_id``, ``user_id``, ``search_space_id``, +``__init__`` closures (``thread_id``, ``user_id``, ``workspace_id``, ``filesystem_mode``, ``mentioned_document_ids``). Cross-thread reuse would silently leak state across users and threads. Keying the cache on ``(llm_config_id, thread_id, ...)`` gives us safe reuse for repeated @@ -34,7 +34,7 @@ turns on the same thread without changing any middleware's behavior. Phase 2 will move those captured fields onto :class:`SurfSenseContextSchema` (read via ``runtime.context``) so the cache can collapse to a single -``(llm_config_id, search_space_id, ...)`` key shared across threads. Until +``(llm_config_id, workspace_id, ...)`` key shared across threads. Until then, per-thread keying is the only safe option. Cache shape @@ -111,7 +111,7 @@ def tools_signature( * A tool is added or removed from the bound list (built-in toggles, MCP tools loaded for the user changes, gating rules flip, etc.). - * The available connectors / document types for the search space + * The available connectors / document types for the workspace change (new connector added, last connector removed, new document type indexed). Connector gating derives disabled tools from ``available_connectors``, so the tool surface is technically already diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/connector_searchable_types.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/connector_searchable_types.py index be193be04..97a3eaf3c 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/connector_searchable_types.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/connector_searchable_types.py @@ -1,10 +1,10 @@ """Map configured connectors to the searchable document/connector types. This is agent-agnostic infrastructure shared by every agent factory (single- -and multi-agent). It translates the connectors a search space has enabled into -the set of searchable type strings that pre-search middleware and ``web_search`` -understand, and always layers in the document types that exist independently of -any connector (uploads, notes, extension captures, YouTube). +and multi-agent). It translates the connectors a workspace has enabled into +the set of searchable type strings that pre-search middleware understands, and +always layers in the document types that exist independently of any connector +(uploads, notes, extension captures, YouTube). It lives in its own module — rather than inside a specific agent factory — so that retiring or moving any single agent never disturbs the others' access to @@ -16,15 +16,8 @@ from __future__ import annotations from typing import Any # Maps SearchSourceConnectorType enum values to the searchable document/connector types -# used by pre-search middleware and web_search. -# Live search connectors (TAVILY_API, LINKUP_API, BAIDU_SEARCH_API) are routed to -# the web_search tool; all others are considered local/indexed data. +# used by KB pre-search middleware. All entries are local/indexed data. _CONNECTOR_TYPE_TO_SEARCHABLE: dict[str, str] = { - # Live search connectors (handled by web_search tool) - "TAVILY_API": "TAVILY_API", - "LINKUP_API": "LINKUP_API", - "BAIDU_SEARCH_API": "BAIDU_SEARCH_API", - # Local/indexed connectors (handled by KB pre-search middleware) "SLACK_CONNECTOR": "SLACK_CONNECTOR", "TEAMS_CONNECTOR": "TEAMS_CONNECTOR", "NOTION_CONNECTOR": "NOTION_CONNECTOR", @@ -40,12 +33,14 @@ _CONNECTOR_TYPE_TO_SEARCHABLE: dict[str, str] = { "AIRTABLE_CONNECTOR": "AIRTABLE_CONNECTOR", "LUMA_CONNECTOR": "LUMA_CONNECTOR", "ELASTICSEARCH_CONNECTOR": "ELASTICSEARCH_CONNECTOR", - "WEBCRAWLER_CONNECTOR": "CRAWLED_URL", # Maps to document type "BOOKSTACK_CONNECTOR": "BOOKSTACK_CONNECTOR", "CIRCLEBACK_CONNECTOR": "CIRCLEBACK", # Connector type differs from document type "OBSIDIAN_CONNECTOR": "OBSIDIAN_CONNECTOR", "DROPBOX_CONNECTOR": "DROPBOX_FILE", # Connector type differs from document type "ONEDRIVE_CONNECTOR": "ONEDRIVE_FILE", # Connector type differs from document type + # Generic user-defined MCP server: unlocks the mcp_discovery subagent even + # in a workspace with no hosted-service connectors. + "MCP_CONNECTOR": "MCP_CONNECTOR", # Composio connectors (unified to native document types). # Reverse of NATIVE_TO_LEGACY_DOCTYPE in app.db. "COMPOSIO_GOOGLE_DRIVE_CONNECTOR": "GOOGLE_DRIVE_FILE", diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/factory.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/factory.py index d823a5a06..9f1ed344c 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/factory.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/runtime/factory.py @@ -58,7 +58,7 @@ _perf_log = get_perf_logger() async def create_multi_agent_chat_deep_agent( llm: BaseChatModel, - search_space_id: int, + workspace_id: int, db_session: AsyncSession, connector_service: ConnectorService, checkpointer: Checkpointer, @@ -68,7 +68,6 @@ async def create_multi_agent_chat_deep_agent( enabled_tools: list[str] | None = None, disabled_tools: list[str] | None = None, additional_tools: Sequence[BaseTool] | None = None, - firecrawl_api_key: str | None = None, thread_visibility: ChatVisibility | None = None, mentioned_document_ids: list[int] | None = None, anon_session_id: str | None = None, @@ -78,9 +77,9 @@ async def create_multi_agent_chat_deep_agent( ): """Deep agent with SurfSense tools/middleware; registry route subagents behind ``task`` when enabled. - ``image_gen_model_id`` overrides the search space's image model for + ``image_gen_model_id`` overrides the workspace's image model for this invocation (used by automations to run on their captured model). When - ``None``, the ``generate_image`` tool resolves the live search-space pref. + ``None``, the ``generate_image`` tool resolves the live workspace pref. """ _t_agent_total = time.perf_counter() @@ -89,7 +88,7 @@ async def create_multi_agent_chat_deep_agent( filesystem_selection = filesystem_selection or FilesystemSelection() backend_resolver = build_backend_resolver( filesystem_selection, - search_space_id=search_space_id + workspace_id=workspace_id if filesystem_selection.mode == FilesystemMode.CLOUD else None, ) @@ -99,13 +98,11 @@ async def create_multi_agent_chat_deep_agent( _t0 = time.perf_counter() try: - connector_types = await connector_service.get_available_connectors( - search_space_id - ) + connector_types = await connector_service.get_available_connectors(workspace_id) available_connectors = map_connectors_to_searchable_types(connector_types) available_document_types = await connector_service.get_available_document_types( - search_space_id + workspace_id ) except Exception as e: @@ -136,10 +133,9 @@ async def create_multi_agent_chat_deep_agent( ) dependencies: dict[str, Any] = { - "search_space_id": search_space_id, + "workspace_id": workspace_id, "db_session": db_session, "connector_service": connector_service, - "firecrawl_api_key": firecrawl_api_key, "user_id": user_id, "auth_context": auth_context, "thread_id": thread_id, @@ -155,9 +151,7 @@ async def create_multi_agent_chat_deep_agent( _t0 = time.perf_counter() try: - mcp_tools_by_agent = await load_mcp_tools_by_connector( - db_session, search_space_id - ) + mcp_tools_by_agent = await load_mcp_tools_by_connector(db_session, workspace_id) except Exception as e: # Degrade to builtins-only rather than aborting the turn: a transient # DB or MCP-server hiccup should not deny the user a response. @@ -193,7 +187,7 @@ async def create_multi_agent_chat_deep_agent( user_allowlist_by_subagent = await fetch_user_allowlist_rulesets( db_session, user_id=user_uuid, - search_space_id=search_space_id, + workspace_id=workspace_id, ) except Exception as e: logging.warning( @@ -230,6 +224,15 @@ async def create_multi_agent_chat_deep_agent( additional_tools=list(additional_tools) if additional_tools else None, ) + # Read-only exception to the "main agent is a pure router" stance: the + # context-editing spill placeholder points at read_run/search_run, so the + # main agent needs those tools to follow it. See middleware/stack.py. + from app.agents.chat.multi_agent_chat.subagents.shared.run_reader import ( + build_run_reader_tools, + ) + + tools = [*list(tools), *build_run_reader_tools(workspace_id=workspace_id)] + _flags: AgentFeatureFlags = get_flags() if _flags.enable_tool_call_repair and INVALID_TOOL_NAME not in { t.name for t in tools @@ -291,7 +294,7 @@ async def create_multi_agent_chat_deep_agent( final_system_prompt=final_system_prompt, backend_resolver=backend_resolver, filesystem_mode=filesystem_selection.mode, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, thread_id=thread_id, visibility=visibility, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/backends.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/backends.py index 31620fe9b..ad541563a 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/backends.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/backends.py @@ -17,12 +17,12 @@ Two backends are provided: * :class:`BuiltinSkillsBackend` — disk-backed read of bundled skills from ``app/agents/shared/skills/builtin/``. -* :class:`SearchSpaceSkillsBackend` — a thin read-only wrapper over +* :class:`WorkspaceSkillsBackend` — a thin read-only wrapper over :class:`KBPostgresBackend` that filters notes under the privileged folder ``/documents/_skills/``. Both backends are intentionally read-only: skill authoring happens out of band -(via filesystem or a search-space-admin route), so we never expose +(via filesystem or a workspace-admin route), so we never expose ``write`` / ``edit`` / ``upload_files``. The base class' ``NotImplementedError`` gives a clean failure mode if anything tries. """ @@ -181,12 +181,12 @@ class BuiltinSkillsBackend(BackendProtocol): return responses -class SearchSpaceSkillsBackend(BackendProtocol): - """Read-only view of search-space-authored skills. +class WorkspaceSkillsBackend(BackendProtocol): + """Read-only view of workspace-authored skills. Wraps a :class:`KBPostgresBackend` and only ever reads under the privileged folder ``/documents/_skills/`` (configurable). The folder is intended to be - writable only by search-space admins; this backend never writes. + writable only by workspace admins; this backend never writes. The skills middleware expects a layout like:: @@ -236,14 +236,14 @@ class SearchSpaceSkillsBackend(BackendProtocol): # path falls back to ``asyncio.to_thread(...)`` in the base class. We # keep this stub to satisfy abstract resolution; the middleware calls # ``als_info``. - raise NotImplementedError("SearchSpaceSkillsBackend is async-only") + raise NotImplementedError("WorkspaceSkillsBackend is async-only") async def als_info(self, path: str) -> list[FileInfo]: kb_path = self._to_kb(path) try: infos = await self._kb.als_info(kb_path) except Exception as exc: # pragma: no cover - defensive - logger.warning("SearchSpaceSkillsBackend.als_info failed: %s", exc) + logger.warning("WorkspaceSkillsBackend.als_info failed: %s", exc) return [] remapped: list[FileInfo] = [] for info in infos: @@ -254,7 +254,7 @@ class SearchSpaceSkillsBackend(BackendProtocol): return remapped def download_files(self, paths: list[str]) -> list[FileDownloadResponse]: - raise NotImplementedError("SearchSpaceSkillsBackend is async-only") + raise NotImplementedError("WorkspaceSkillsBackend is async-only") async def adownload_files(self, paths: list[str]) -> list[FileDownloadResponse]: kb_paths = [self._to_kb(p) for p in paths] @@ -274,16 +274,16 @@ SKILLS_SPACE_PREFIX = "/skills/space/" def build_skills_backend_factory( *, builtin_root: Path | str | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, ) -> Callable[[ToolRuntime], BackendProtocol]: """Return a runtime-aware factory for the skills :class:`CompositeBackend`. - When ``search_space_id`` is provided the composite includes a - :class:`SearchSpaceSkillsBackend` route at ``/skills/space/`` over a fresh + When ``workspace_id`` is provided the composite includes a + :class:`WorkspaceSkillsBackend` route at ``/skills/space/`` over a fresh per-runtime :class:`KBPostgresBackend`, mirroring how :func:`build_backend_resolver` constructs the main filesystem backend. - When ``search_space_id`` is ``None`` (e.g., desktop-local mode or unit + When ``workspace_id`` is ``None`` (e.g., desktop-local mode or unit tests) only the bundled :class:`BuiltinSkillsBackend` is exposed. Returning a factory rather than a fixed instance is intentional: the @@ -293,7 +293,7 @@ def build_skills_backend_factory( """ builtin = BuiltinSkillsBackend(builtin_root) - if search_space_id is None: + if workspace_id is None: def _factory_builtin_only(runtime: ToolRuntime) -> BackendProtocol: # Default StateBackend is intentionally inert: any path outside the @@ -314,8 +314,8 @@ def build_skills_backend_factory( KBPostgresBackend, ) - kb = KBPostgresBackend(search_space_id, runtime) - space = SearchSpaceSkillsBackend(kb) + kb = KBPostgresBackend(workspace_id, runtime) + space = WorkspaceSkillsBackend(kb) return CompositeBackend( default=StateBackend(runtime), routes={ @@ -336,7 +336,7 @@ __all__ = [ "SKILLS_BUILTIN_PREFIX", "SKILLS_SPACE_PREFIX", "BuiltinSkillsBackend", - "SearchSpaceSkillsBackend", + "WorkspaceSkillsBackend", "build_skills_backend_factory", "default_skills_sources", ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/builtin/kb-research/SKILL.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/builtin/kb-research/SKILL.md index 5730c3122..9ac3a0ad1 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/builtin/kb-research/SKILL.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/builtin/kb-research/SKILL.md @@ -1,7 +1,7 @@ --- name: kb-research description: Structured approach to finding and synthesizing information from the user's knowledge base -allowed-tools: scrape_webpage, read_file, ls_tree, grep, web_search +allowed-tools: read_file, ls_tree, grep --- # Knowledge-base research diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/builtin/meeting-prep/SKILL.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/builtin/meeting-prep/SKILL.md index 5a375fbde..5a6a4cb7a 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/builtin/meeting-prep/SKILL.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/skills/builtin/meeting-prep/SKILL.md @@ -1,7 +1,7 @@ --- name: meeting-prep description: Pull together briefing materials before a scheduled meeting -allowed-tools: web_search, scrape_webpage, read_file +allowed-tools: task, read_file --- # Meeting preparation @@ -12,11 +12,11 @@ The user mentions an upcoming meeting, call, or interview and asks you to "prep" ## Output structure Always produce these sections (omit any with no signal — don't pad): -1. **Attendees & context** — who's in the room, their roles, what they care about. Pull from KB notes about prior interactions; supplement with public profile facts via `web_search` when names or companies are unfamiliar. +1. **Attendees & context** — who's in the room, their roles, what they care about. Pull from KB notes about prior interactions; supplement with public profile facts via `task(google_search, ...)` when names or companies are unfamiliar. 2. **Open threads** — outstanding action items, unresolved decisions, last-mentioned blockers from prior conversation history. 3. **Recent moves** — within the last 30 days: relevant launches, hires, news. Cite KB chunks when present, otherwise external sources. 4. **Suggested questions** — 3-5 questions the user could ask, tailored to the open threads and the attendees' likely priorities. ## Source ordering - Always check the user's KB **first** for prior meeting notes, internal docs, or Slack threads about these attendees. -- Only fall back to `web_search` for *publicly verifiable* facts — never to fabricate a participant's preferences or relationships. +- Only fall back to `task(google_search, ...)` for *publicly verifiable* facts — never to fabricate a participant's preferences or relationships. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/citations/on.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/citations/on.md index a7c8f39b9..371cd1e57 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/citations/on.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/citations/on.md @@ -1,8 +1,8 @@ Cite with one token: the bracket label `[n]`. Every citable result — -`web_search` results and prose from a `task` knowledge_base/research -specialist (including the knowledge_base specialist's `[n]`-labelled -workspace findings) — already carries `[n]` labels on a single shared count. +prose from a `task` knowledge_base/research specialist (including the +knowledge_base specialist's `[n]`-labelled workspace findings) — already +carries `[n]` labels on a single shared count. Those labels are the only citation you write; the server resolves each one back to its source after the turn. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/private.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/private.md index 38d33cab0..378c052d4 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/private.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/private.md @@ -1,8 +1,23 @@ -You are **SurfSense's main agent**. Your job is to answer the user using their -knowledge base, lightweight web research, persistent memory, and **specialist -subagents** invoked via the `task` tool. You are an orchestrator — most -non-trivial work belongs on a specialist. +You are **SurfSense's main agent**, the orchestrator of an open-source +competitive intelligence platform. Users come to you to understand their +market: what competitors are doing, how audiences react, where rankings and +reviews are moving, and what is being said across the open web — and to put +that intelligence to work alongside their own knowledge base. + +You do this by dispatching **specialist subagents** via the `task` tool: +- **Live market data** — Reddit, YouTube, Google Maps, Google Search, and the + web crawler return structured, current platform data (posts, comments, + transcripts, reviews, SERPs, full page content). +- **The user's own context** — their knowledge base, connected apps, and + persistent memory. +- **Deliverables** — reports, podcasts, and presentations built from what the + specialists find. + +You are an orchestrator — most non-trivial work belongs on a specialist. Your +value is routing each request to the right specialist, synthesizing evidence +across sources, and answering with what the data shows rather than what you +assume. Today (UTC): {resolved_today} diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/team.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/team.md index b2d1e169f..2765c06b7 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/team.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/team.md @@ -1,8 +1,23 @@ -You are **SurfSense's main agent**. Your job is to answer the user using their -shared team knowledge base, lightweight web research, persistent memory, and -**specialist subagents** invoked via the `task` tool. You are an orchestrator -— most non-trivial work belongs on a specialist. +You are **SurfSense's main agent**, the orchestrator of an open-source +competitive intelligence platform. This team comes to you to understand its +market: what competitors are doing, how audiences react, where rankings and +reviews are moving, and what is being said across the open web — and to put +that intelligence to work alongside the team's shared knowledge base. + +You do this by dispatching **specialist subagents** via the `task` tool: +- **Live market data** — Reddit, YouTube, Google Maps, Google Search, and the + web crawler return structured, current platform data (posts, comments, + transcripts, reviews, SERPs, full page content). +- **The team's own context** — its shared knowledge base, connected apps, and + persistent team memory. +- **Deliverables** — reports, podcasts, and presentations built from what the + specialists find. + +You are an orchestrator — most non-trivial work belongs on a specialist. Your +value is routing each request to the right specialist, synthesizing evidence +across sources, and answering with what the data shows rather than what you +assume. Today (UTC): {resolved_today} diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/kb_first.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/kb_first.md index 9a35a8e55..c69ed400c 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/kb_first.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/kb_first.md @@ -1,18 +1,27 @@ CRITICAL — ground factual answers in what you actually receive this turn: +- **live platform data** via the market specialists — + `task(reddit, ...)`, `task(youtube, ...)`, `task(google_maps, ...)`, + `task(google_search, ...)`, `task(web_crawler, ...)`. Anything about + competitors, markets, rankings, reviews, or audience sentiment is answered + from what these return **this turn**, never from your training data: your + general knowledge of companies, prices, and rankings is stale by definition, - the user's knowledge base via `task(knowledge_base, ...)` (your PRIMARY - source for anything about their documents, notes, or connected data — the - `` only lists what exists, so delegate to the specialist to - search and read the actual content before answering), + source for anything about their own uploaded files, documents, and notes — + the `` only lists what exists, so delegate to the specialist + to search and read the actual content before answering), - injected workspace context (see ``), -- results from your other tool calls (`web_search`, `scrape_webpage`), +- the user's connected apps via `task(mcp_discovery, ...)` (Slack, Jira, + Notion, Gmail, Calendar, etc. — live data that is NOT in the knowledge base), - or substantive summaries returned by a `task` specialist you invoked. -For questions about the user's own workspace, dispatch +For questions about the user's own files and notes, dispatch `task(knowledge_base, ...)` first rather than answering from the tree or from memory. The knowledge_base specialist runs hybrid semantic/keyword search and -full-document reads, then returns a grounded summary with `[n]` citation -labels for you to carry through into your answer. +full-document reads over their personal files and notes, then returns a +grounded summary with `[n]` citation labels for you to carry into your answer. +For anything living in a connected third-party app, use +`task(mcp_discovery, ...)` instead — that content is not indexed in the KB. Do **not** answer factual or informational questions from general knowledge unless the user explicitly authorises it after you say you couldn't find diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/providers/anthropic.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/providers/anthropic.md index d852f5955..3fb8659be 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/providers/anthropic.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/providers/anthropic.md @@ -5,7 +5,7 @@ Structured reasoning: - For non-trivial work, `` / short `` before tool calls is fine. Professional objectivity: -- Accuracy over flattery; verify with **web_search**, **scrape_webpage**, or **task** when unsure — don’t invent connector access. +- Accuracy over flattery; verify with **task** (e.g. `task(web_crawler, …)` to read a page, `task(google_search, …)` for public facts) when unsure — don’t invent connector access. Task management: - For 3+ steps, use todo tooling; update statuses promptly. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/providers/openai_classic.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/providers/openai_classic.md index 8596c42cd..9f4198e10 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/providers/openai_classic.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/providers/openai_classic.md @@ -16,6 +16,6 @@ Output style: Tool calls: - Parallelise independent calls in one turn. - For SurfSense-product questions, point the user to https://www.surfsense.com/docs; - use **web_search** / **scrape_webpage** for fresh public facts; integrations and + use **task(google_search, …)** / **task(web_crawler, …)** for fresh public facts; integrations and heavy workflows → **task**. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/reminder.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/reminder.md index b7ff348a6..57ab159dd 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/reminder.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/reminder.md @@ -1,4 +1,5 @@ -Concise · KB-grounded · delegation-first · one `task` per turn · no direct -filesystem · persist memory when durable facts appear. +Concise · grounded in this turn's specialist data, never stale general +knowledge · delegation-first · no direct filesystem · persist memory when +durable facts appear. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/routing.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/routing.md index aa6217041..eec860f3c 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/routing.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/routing.md @@ -3,8 +3,6 @@ You have two execution channels. Pick the one that owns the work — never simulate one with the other. ### 1. Direct tools (you call them yourself) -- `web_search` — search the public web (anything outside the workspace KB). -- `scrape_webpage` — fetch the body of a specific public URL. - `update_memory` — curate persistent memory (see ``). - `write_todos` — maintain a structured plan when the turn series spans multiple specialists or steps. Mark each item @@ -15,6 +13,63 @@ simulate one with the other. connectors, feature behavior) — point the user to the documentation: https://www.surfsense.com/docs. There is no docs-search tool; give the link. +**Search discovers — the crawler reads.** Search results (snippets, AI +overviews, a specialist's summary of a SERP) are pointers, not sources. +When the answer lives on a page — a team roster, a portfolio or directory +listing, a pricing table, docs — fetch the page before answering: +- One or a few known URLs → `task(web_crawler, …)` with those URLs (it + fetches only the seeds at `maxCrawlDepth=0`). +- A site section or many pages (a whole team + portfolio, every pricing + page of a list of companies, a paginated directory) → + `task(web_crawler, …)` with the seed URLs and a higher depth. +Never answer with "you can find it at " for public facts your tools +can retrieve — retrieve them, then answer with the facts and cite the page. +Large results are fine: extract and return them, don't ask permission for +bounded fan-out (≤20 sites) the user already requested. + +**Audience sentiment lives on the platforms.** What people *say and feel* +about a brand, product, or topic is answered from the platform where they +say it — `task(reddit, …)` for community discussion and threads, +`task(youtube, …)` for video content, transcripts, and comment sections, +`task(google_maps, …)` for customer reviews of physical businesses. Web +search only finds articles *about* the conversation; the platform +specialists return the conversation itself, structured and current. For +competitive questions ("what are people saying about X", "how is Y +reviewed", "monitor Z"), go to the platform specialists first and cite +what they return. + +**Places go to Maps, the open web goes to Search.** Discovering physical +businesses or venues of a type in a geography ("clinics in X", "tutoring +centers near Y", lead lists of local businesses) is the Maps specialist's +job — it returns structured name/address/phone/website per place, where +web search returns only snippets that need a second pass. Use the Search +specialist for entities without a storefront (online-only companies, +software vendors, publications), for facts and current events, and to +enrich places Maps already found. When a lead list needs both, run Maps +discovery first, then crawl (`task(web_crawler, …)`) or search the found +websites for contacts. + +**Requested-N lists count distinct entities that fit the ask.** When the +user asks for N leads/items/results, every entry must be a distinct +*entity* — multiple branches, locations, sub-programs, or pages of the +same brand or parent organization are ONE entry, not several. A website +domain is an ownership signal: entries whose pages live on the same parent +domain (a government portal, a chain's site, a franchise system) share +that parent and count as one, judged against the parent. Entries must +also fit the user's stated segment: an item that belongs to an excluded +category (e.g. a local branch of a large chain when the user asked for +independents) does not qualify even if a specialist returned it — drop it, +don't relay it. If qualifying results fall short of N, widen the discovery +(another specialist call, adjacent geography or segment) to fill the gap +honestly; if it still falls short, deliver the smaller list with a +one-line note. An honest 10 beats a padded 15. + +**Full datasets become files, not chat.** When the user wants a complete +large dataset (an entire roster, portfolio, or directory — or asks for a +CSV/file), do not paste or summarize hundreds of rows: instruct the +web_crawler specialist to crawl and then save the data with its +`export_run` CSV tool, and relay the saved workspace path and row count. + **You have NO filesystem tools.** Any read, write, edit, move, rename, or search inside the user's workspace goes through `task(knowledge_base, …)` — never via `write_file`, `ls`, or any direct file operation. @@ -64,13 +119,42 @@ user: "Save these meeting notes to my KB: …" user: "What did Maya say about the Q2 roadmap in Slack last week?" -→ task(slack, "Find messages from Maya about the Q2 roadmap from the past - week. Return the most relevant quotes with channel and timestamp.") +→ task(mcp_discovery, "In Slack, find messages from Maya about the Q2 roadmap + from the past week. Return the most relevant quotes with channel and + timestamp.") + + + +user: "What are people saying about Cursor vs Windsurf lately?" +→ Audience sentiment — go to the platform, not web search. Independent + sources, so parallel `task` calls: + task(reddit, "Search Reddit for recent discussion comparing Cursor and + Windsurf (past month, sort by top). Return the strongest quotes with + subreddit, score, and post URL, and summarise which way sentiment + leans and why.") + task(youtube, "Find recent YouTube videos comparing Cursor and Windsurf. + For the top results return title, channel, views, publish date, and + the main takeaways from each (use subtitles where available).") + Then synthesise both into one answer, attributing claims to their source. user: "What's the current USD/INR rate?" -→ web_search(query="current USD to INR exchange rate") +→ Public web lookup — delegate to the Google Search specialist: + task(google_search, "Search Google for the current USD to INR exchange + rate and return the rate with its source URL.") + + + +user: "Get the a16z team and their portfolio companies." +→ Search only *locates* a16z.com/team/ and their investment list — the + answer is the CONTENT of those pages. Crawl them and return the extracted + people and companies, never just the links: + task(web_crawler, "Crawl https://a16z.com/team/ and + https://a16z.com/investment-list/ and return (1) the full team roster + with each person's name and role/department, and (2) the complete + portfolio company list. Use the pages' link records if the markdown + is sparse.") @@ -82,15 +166,16 @@ user: "Find my Q2 roadmap and summarise the milestones." user: "Create a ClickUp ticket and a Linear ticket for the new feature flag." -→ Independent work — call both specialists in parallel: +→ Independent work, same specialist (connected apps) with non-overlapping + scopes — call it twice in parallel, naming the target app in each prompt: write_todos([ {content: "Create ClickUp ticket for feature flag rollout", status: "in_progress"}, {content: "Create Linear ticket for feature flag rollout", status: "in_progress"}, ]) - task(clickup, "Create a ClickUp ticket titled 'Feature flag rollout' - in the default list. Description: <…>. Tell me the ticket URL.") - task(linear, "Create a Linear ticket titled 'Feature flag rollout' - in the default team. Description: <…>. Tell me the ticket URL.") + task(mcp_discovery, "In ClickUp, create a ticket titled 'Feature flag + rollout' in the default list. Description: <…>. Tell me the ticket URL.") + task(mcp_discovery, "In Linear, create a ticket titled 'Feature flag + rollout' in the default team. Description: <…>. Tell me the ticket URL.") @@ -100,24 +185,25 @@ user: "Find my Q2 roadmap doc in the KB and email a summary to Maya." task(knowledge_base, "Find the Q2 roadmap document under /documents and return its full text plus a 3-bullet summary.") Next turn (with the returned summary in hand): - task(gmail, "Send an email to Maya with subject 'Q2 roadmap summary' - and the following body: .") + task(mcp_discovery, "In Gmail, send an email to Maya with subject 'Q2 + roadmap summary' and the following body: .") user: "Create issues in Linear for each of these five bugs: " → Many-shot independent fanout — use the batch shape: task(tasks=[ - {subagent_type: "linear", description: "Create a Linear issue titled - '' with body ''. Return the issue URL."}, - {subagent_type: "linear", description: "Create a Linear issue titled - '' with body ''. Return the issue URL."}, - {subagent_type: "linear", description: "Create a Linear issue titled - '' with body ''. Return the issue URL."}, - {subagent_type: "linear", description: "Create a Linear issue titled - '' with body ''. Return the issue URL."}, - {subagent_type: "linear", description: "Create a Linear issue titled - '' with body ''. Return the issue URL."}, + {subagent_type: "mcp_discovery", description: "In Linear, create an issue + titled '' with body ''. Return the issue URL."}, + {subagent_type: "mcp_discovery", description: "In Linear, create an issue + titled '' with body ''. Return the issue URL."}, + {subagent_type: "mcp_discovery", description: "In Linear, create an issue + titled '' with body ''. Return the issue URL."}, + {subagent_type: "mcp_discovery", description: "In Linear, create an issue + titled '' with body ''. Return the issue URL."}, + {subagent_type: "mcp_discovery", description: "In Linear, create an issue + titled '' with body ''. Return the issue URL."}, ]) Read back the `[task 0]`…`[task 4]` blocks in the combined ToolMessage and verify each via its Receipt's `verifiable_url` per the `` @@ -154,16 +240,18 @@ user: "Make a 30-second podcast of this conversation." user: "Post the launch announcement to #general and let me know when it's up." → Mutating subagent + user wants external confirmation. Apply the - `` teaching: the slack subagent's reply is a self-report; - check its `evidence.receipts` for a Receipt with `status="success"` and - a `verifiable_url`, then fetch that URL to confirm before reporting back. + `` teaching: the connected-apps subagent's reply is a + self-report; check its `evidence.receipts` for a Receipt with + `status="success"` and a `verifiable_url`, then fetch that URL to confirm + before reporting back. This turn: - task(slack, "Post '' to #general. - Return the message permalink.") + task(mcp_discovery, "In Slack, post '' to + #general. Return the message permalink.") Next turn (with the receipt's `verifiable_url` in hand): - scrape_webpage(url=) + task(web_crawler, "Crawl and confirm + the post is live; return what you find.") → confirm the post is live, then tell the user it's up with the URL. - If the slack reply has NO Receipt with `status="success"`, treat it as a + If the reply has NO Receipt with `status="success"`, treat it as a silent failure: surface the error verbatim, do not retry. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/__init__.py deleted file mode 100644 index a101e7e1c..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""``scrape_webpage`` — description + few-shot examples.""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/description.md deleted file mode 100644 index d8f731359..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/description.md +++ /dev/null @@ -1,11 +0,0 @@ -- `scrape_webpage` — Fetch and extract readable content from a single URL. - - Use when the user wants the actual page body (article, table, dashboard - snapshot), not just search snippets. - - Try the tool when a URL is given or referenced; don't refuse without - attempting unless the URL is clearly unsafe or invalid. - - Public web only. For URLs behind a connector (Notion pages, Linear - issues, Confluence, anything that needs auth), use `task` with the - matching specialist instead. - - Args: `url`, `max_length` (default 50000). - - Returns title, metadata, and markdown-ish body. Summarise clearly and - link back with `[label](url)`. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/example.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/example.md deleted file mode 100644 index 977d40b6d..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/scrape_webpage/example.md +++ /dev/null @@ -1,24 +0,0 @@ - -user: "Check out https://dev.to/some-article" -→ scrape_webpage(url="https://dev.to/some-article") -(Respond with a structured analysis — key points, takeaways.) - - - -user: "Read this article and summarize it for me: https://example.com/blog/ai-trends" -→ scrape_webpage(url="https://example.com/blog/ai-trends") -(Thorough summary using headings and bullets.) - - - -user: (after discussing https://example.com/stats) "Can you get the live data from that page?" -→ scrape_webpage(url="https://example.com/stats") -(Always attempt scraping first. Never refuse before trying.) - - - -user: "https://example.com/blog/weekend-recipes" -→ scrape_webpage(url="https://example.com/blog/weekend-recipes") -(When a user sends just a URL with no instructions, scrape it and provide -a concise summary.) - diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/task/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/task/description.md index d6a81d8d3..cfd47b7fd 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/task/description.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/task/description.md @@ -43,9 +43,9 @@ like podcasts/videos), the operation did not happen — treat as failure and surface that to the user verbatim, do not retry blindly. - 2. **`scrape_webpage`** — when a Receipt carries a `verifiable_url` + 2. **`task(web_crawler, …)`** — when a Receipt carries a `verifiable_url` (Notion page URL, Slack permalink, Jira issue URL, Linear identifier - URL, etc.), you can fetch that URL and confirm the operation + URL, etc.), you can crawl that URL and confirm the operation externally. Use this for high-stakes mutations the user explicitly called out (e.g. "send the launch email to the whole team") or when the subagent's self-report contradicts what the user expected. @@ -54,7 +54,7 @@ - `status="success"`: the mutation already committed in the backend. If a `verifiable_url` is present and the request was high-stakes, - you may `scrape_webpage` it to externally confirm. Otherwise trust + you may crawl it via `task(web_crawler, …)` to externally confirm. Otherwise trust the Receipt and tell the user it is done. Celery-backed deliverables (podcasts, video presentations) also land here — the subagent already waited for the worker to finish, so a `success` Receipt @@ -67,6 +67,6 @@ their backend before returning. If you ever do see a pending Receipt, tell the user the work has been **kicked off** (quote the `external_id` / `preview` so they can find it later), do not - `scrape_webpage` it, and do not re-dispatch the same + crawl it, and do not re-dispatch the same `task(...)` call hoping it will be done "this time". diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/task/example.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/task/example.md index 87e5e1b6d..69c748a2e 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/task/example.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/task/example.md @@ -7,9 +7,9 @@ user: "Save these meeting notes to my KB: …" user: "What did Maya say about the Q2 roadmap in Slack last week?" -→ task(subagent_type="slack", description="Find messages from Maya about - the Q2 roadmap from the past week. Return the most relevant quotes with - channel and timestamp.") +→ task(subagent_type="mcp_discovery", description="In Slack, find messages + from Maya about the Q2 roadmap from the past week. Return the most relevant + quotes with channel and timestamp.") diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/update_memory/team/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/update_memory/team/description.md index 8459f9e7a..2d1c5af9b 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/update_memory/team/description.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/update_memory/team/description.md @@ -1,5 +1,5 @@ - `update_memory` — Curate the team's **shared** long-term memory document - for this search space. + for this workspace. - The current memory (if any) appears in `` with usage vs limit. - Call when a team member asks to remember or forget something, or when the conversation surfaces durable team decisions, conventions, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/__init__.py deleted file mode 100644 index 95e4549b9..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""``web_search`` — description + few-shot examples.""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/description.md deleted file mode 100644 index aad604e47..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/description.md +++ /dev/null @@ -1,13 +0,0 @@ -- `web_search` — Search the public web. - - Use whenever an answer benefits from external sources — current events, - prices, weather, news, technical references, definitions, background - facts, anything outside SurfSense docs and the workspace KB. Reach for - it whenever freshness matters or you'd otherwise guess from memory. - - Don't refuse with "I lack network access" — call the tool. - - Returns a `` block: each result is labelled `[n]`. Cite a - result by writing that `[n]` after the statement it supports (when - citations are enabled) — do not hand-write the URL as a markdown link. - - If results are thin, say so and offer to refine the query. - - Args: `query`, `top_k` (default 10, max 50). - - Follow up with `scrape_webpage` on the best URL when snippets are too - shallow. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/example.md b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/example.md deleted file mode 100644 index 04f9e899c..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/tools/web_search/example.md +++ /dev/null @@ -1,15 +0,0 @@ - -user: "What's the current USD to INR exchange rate?" -→ web_search(query="current USD to INR exchange rate") -(Answer from snippets; scrape a top URL if needed.) - - - -user: "What's the latest news about AI?" -→ web_search(query="latest AI news today") - - - -user: "What's the weather in New York?" -→ web_search(query="weather New York today") - diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/automation/create.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/automation/create.py index c1122b681..c00692185 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/automation/create.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/automation/create.py @@ -45,14 +45,14 @@ _JSON_FENCE = re.compile(r"```(?:json)?\s*(.*?)\s*```", re.DOTALL) def create_create_automation_tool( *, - search_space_id: int, + workspace_id: int, user_id: str | UUID, llm: Any, auth_context: AuthContext | None = None, ): """Factory for the ``create_automation`` tool. - ``search_space_id`` is injected from the chat session (the model never + ``workspace_id`` is injected from the chat session (the model never has to guess it). ``llm`` is the drafting sub-model — we reuse the main agent's LLM and tag the call so it's identifiable in traces. A fresh ``AsyncSession`` is opened per call to avoid stale sessions on @@ -101,12 +101,12 @@ def create_create_automation_tool( """ # Models are chosen per-automation on the approval card (premium/BYOK # selectors) and validated when persisted by ``AutomationService.create`` - # — so there's no fail-fast search-space eligibility gate here. The - # search space's current chat/role model selection no longer constrains + # — so there's no fail-fast workspace eligibility gate here. The + # workspace's current chat/role model selection no longer constrains # whether an automation can be drafted or saved. # --- 1. Draft via sub-LLM --- - prompt = build_draft_prompt(search_space_id=search_space_id, intent=intent) + prompt = build_draft_prompt(workspace_id=workspace_id, intent=intent) try: response = await llm.ainvoke( [HumanMessage(content=prompt)], @@ -125,8 +125,8 @@ def create_create_automation_tool( "raw": raw_text, } - # search_space_id is injected here so the sub-LLM never has to guess. - draft["search_space_id"] = search_space_id + # workspace_id is injected here so the sub-LLM never has to guess. + draft["workspace_id"] = workspace_id try: validated_draft = AutomationCreate.model_validate(draft) except ValidationError as exc: @@ -139,14 +139,14 @@ def create_create_automation_tool( # --- 2. HITL approval card --- try: card_params = validated_draft.model_dump(mode="json", by_alias=True) - # search_space_id is session-scoped, not user-editable. - card_params.pop("search_space_id", None) + # workspace_id is session-scoped, not user-editable. + card_params.pop("workspace_id", None) result = request_approval( action_type="automation_create", tool_name="create_automation", params=card_params, - context={"search_space_id": search_space_id}, + context={"workspace_id": workspace_id}, tool_call_id=runtime.tool_call_id, ) @@ -157,7 +157,7 @@ def create_create_automation_tool( } # --- 3. Persist (re-validate in case the user edited) --- - final_payload = {**result.params, "search_space_id": search_space_id} + final_payload = {**result.params, "workspace_id": workspace_id} try: final_validated = AutomationCreate.model_validate(final_payload) except ValidationError as exc: diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/automation/prompt.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/automation/prompt.py index 09854aa2e..66ba0183c 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/automation/prompt.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/automation/prompt.py @@ -34,7 +34,7 @@ into a SINGLE JSON object matching the AutomationCreate schema. Output ONLY that JSON object — no prose, no markdown fence, no commentary. Current UTC time (for cron context): {now} -Target search_space_id: {search_space_id} +Target workspace_id: {workspace_id} """ @@ -165,12 +165,12 @@ User intent: """ -def build_draft_prompt(*, search_space_id: int, intent: str) -> str: +def build_draft_prompt(*, workspace_id: int, intent: str) -> str: """Render the drafting sub-LLM system prompt for the given intent.""" return ( _HEADER.format( now=datetime.now(UTC).isoformat(timespec="seconds"), - search_space_id=search_space_id, + workspace_id=workspace_id, ) + _SCHEMA + _FEW_SHOTS diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/index.py index 70fb42c0d..fc87f0bb7 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/index.py @@ -6,8 +6,6 @@ Connector integrations, MCP, deliverables, etc. are delegated via ``task`` subag from __future__ import annotations MAIN_AGENT_SURFSENSE_TOOL_NAMES_ORDERED: tuple[str, ...] = ( - "web_search", - "scrape_webpage", "update_memory", "create_automation", ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/registry.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/registry.py index bdfa67c79..0d65e37fe 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/registry.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/registry.py @@ -21,27 +21,14 @@ from typing import Any from langchain_core.tools import BaseTool -from app.agents.chat.shared.tools.web_search import create_web_search_tool from app.db import ChatVisibility -from .scrape_webpage import create_scrape_webpage_tool from .update_memory import ( create_update_memory_tool, create_update_team_memory_tool, ) -def _build_scrape_webpage_tool(deps: dict[str, Any]) -> BaseTool: - return create_scrape_webpage_tool(firecrawl_api_key=deps.get("firecrawl_api_key")) - - -def _build_web_search_tool(deps: dict[str, Any]) -> BaseTool: - return create_web_search_tool( - search_space_id=deps.get("search_space_id"), - available_connectors=deps.get("available_connectors"), - ) - - def _build_create_automation_tool(deps: dict[str, Any]) -> BaseTool: # Deferred import: the automation package is a sibling under ``main_agent`` # and is only needed at build time, mirroring the shared registry's @@ -49,7 +36,7 @@ def _build_create_automation_tool(deps: dict[str, Any]) -> BaseTool: from .automation import create_create_automation_tool return create_create_automation_tool( - search_space_id=deps["search_space_id"], + workspace_id=deps["workspace_id"], user_id=deps["user_id"], auth_context=deps.get("auth_context"), llm=deps["llm"], @@ -59,7 +46,7 @@ def _build_create_automation_tool(deps: dict[str, Any]) -> BaseTool: def _build_update_memory_tool(deps: dict[str, Any]) -> BaseTool: if deps["thread_visibility"] == ChatVisibility.SEARCH_SPACE: return create_update_team_memory_tool( - search_space_id=deps["search_space_id"], + workspace_id=deps["workspace_id"], db_session=deps["db_session"], llm=deps.get("llm"), ) @@ -71,20 +58,18 @@ def _build_update_memory_tool(deps: dict[str, Any]) -> BaseTool: # Ordered to match the historical main-agent binding order: -# scrape_webpage, web_search, create_automation, update_memory. +# create_automation, update_memory. # Each entry is ``(factory, required_dependency_names)``. _MAIN_AGENT_TOOL_FACTORIES: dict[ str, tuple[Callable[[dict[str, Any]], BaseTool], tuple[str, ...]] ] = { - "scrape_webpage": (_build_scrape_webpage_tool, ()), - "web_search": (_build_web_search_tool, ()), "create_automation": ( _build_create_automation_tool, - ("search_space_id", "user_id", "llm"), + ("workspace_id", "user_id", "llm"), ), "update_memory": ( _build_update_memory_tool, - ("user_id", "search_space_id", "db_session", "thread_visibility", "llm"), + ("user_id", "workspace_id", "db_session", "thread_visibility", "llm"), ), } diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/scrape_webpage.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/scrape_webpage.py deleted file mode 100644 index c66506ca7..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/scrape_webpage.py +++ /dev/null @@ -1,303 +0,0 @@ -""" -Web scraping tool for the SurfSense agent. - -This module provides a tool for scraping and extracting content from webpages -using the existing WebCrawlerConnector. For YouTube URLs, it fetches the -transcript directly via the YouTubeTranscriptApi instead of crawling the page. -""" - -import hashlib -import logging -import time -from typing import Any -from urllib.parse import urlparse - -from fake_useragent import UserAgent -from langchain_core.tools import tool -from requests import Session -from scrapling.fetchers import AsyncFetcher -from youtube_transcript_api import YouTubeTranscriptApi - -from app.connectors.webcrawler_connector import WebCrawlerConnector -from app.tasks.document_processors.youtube_processor import get_youtube_video_id -from app.utils.proxy import get_proxy_url, get_requests_proxies - -logger = logging.getLogger(__name__) - - -def extract_domain(url: str) -> str: - """Extract the domain from a URL.""" - try: - parsed = urlparse(url) - domain = parsed.netloc - if domain.startswith("www."): - domain = domain[4:] - return domain - except Exception: - return "" - - -def generate_scrape_id(url: str) -> str: - """Generate a unique ID for a scraped webpage.""" - hash_val = hashlib.md5(url.encode()).hexdigest()[:12] - return f"scrape-{hash_val}" - - -def truncate_content(content: str, max_length: int = 50000) -> tuple[str, bool]: - """ - Truncate content to a maximum length. - - Returns: - Tuple of (truncated_content, was_truncated) - """ - if len(content) <= max_length: - return content, False - - # Prefer truncating at a sentence/paragraph boundary. - truncated = content[:max_length] - last_period = truncated.rfind(".") - last_newline = truncated.rfind("\n\n") - - boundary = max(last_period, last_newline) - if boundary > max_length * 0.8: # only if the boundary isn't too far back - truncated = content[: boundary + 1] - - return truncated + "\n\n[Content truncated...]", True - - -async def _scrape_youtube_video( - url: str, video_id: str, max_length: int -) -> dict[str, Any]: - """ - Fetch YouTube video metadata and transcript via the YouTubeTranscriptApi. - - Returns a result dict in the same shape as the regular scrape_webpage output. - """ - scrape_id = generate_scrape_id(url) - domain = "youtube.com" - - # --- Video metadata via oEmbed --- - residential_proxies = get_requests_proxies() - - params = { - "format": "json", - "url": f"https://www.youtube.com/watch?v={video_id}", - } - oembed_url = "https://www.youtube.com/oembed" - - try: - oembed_fetch_start = time.perf_counter() - oembed_page = await AsyncFetcher.get( - oembed_url, - params=params, - proxy=get_proxy_url(), - stealthy_headers=True, - ) - logger.info( - "[scrape_webpage][perf] source=oembed video=%s status=%s fetch_ms=%.1f", - video_id, - getattr(oembed_page, "status", None), - (time.perf_counter() - oembed_fetch_start) * 1000, - ) - video_data = oembed_page.json() - except Exception: - video_data = {} - - title = video_data.get("title", "YouTube Video") - author = video_data.get("author_name", "Unknown") - - # --- Transcript via YouTubeTranscriptApi --- - try: - transcript_fetch_start = time.perf_counter() - ua = UserAgent() - http_client = Session() - http_client.headers.update({"User-Agent": ua.random}) - if residential_proxies: - http_client.proxies.update(residential_proxies) - ytt_api = YouTubeTranscriptApi(http_client=http_client) - - # Pick the first transcript (video's primary language) rather than - # defaulting to English. - transcript_list = ytt_api.list(video_id) - transcript = next(iter(transcript_list)) - captions = transcript.fetch() - - logger.info( - "[scrape_webpage][perf] source=transcript video=%s fetch_ms=%.1f", - video_id, - (time.perf_counter() - transcript_fetch_start) * 1000, - ) - logger.info( - f"[scrape_webpage] Fetched transcript for {video_id} " - f"in {transcript.language} ({transcript.language_code})" - ) - - transcript_segments = [] - for line in captions: - start_time = line.start - duration = line.duration - text = line.text - timestamp = f"[{start_time:.2f}s-{start_time + duration:.2f}s]" - transcript_segments.append(f"{timestamp} {text}") - transcript_text = "\n".join(transcript_segments) - except Exception as e: - logger.warning(f"[scrape_webpage] No transcript for video {video_id}: {e}") - transcript_text = f"No captions available for this video. Error: {e!s}" - - content = f"# {title}\n\n**Author:** {author}\n**Video ID:** {video_id}\n\n## Transcript\n\n{transcript_text}" - - content, was_truncated = truncate_content(content, max_length) - word_count = len(content.split()) - - description = f"YouTube video by {author}" - - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": title, - "description": description, - "content": content, - "domain": domain, - "word_count": word_count, - "was_truncated": was_truncated, - "crawler_type": "youtube_transcript", - "author": author, - } - - -def create_scrape_webpage_tool(firecrawl_api_key: str | None = None): - """ - Factory function to create the scrape_webpage tool. - - Args: - firecrawl_api_key: Optional Firecrawl API key for premium web scraping. - Falls back to Chromium/Trafilatura if not provided. - - Returns: - A configured tool function for scraping webpages. - """ - - @tool - async def scrape_webpage( - url: str, - max_length: int = 50000, - ) -> dict[str, Any]: - """ - Scrape and extract the main content from a webpage. - - Use this tool when the user wants you to read, summarize, or answer - questions about a specific webpage's content. This tool actually - fetches and reads the full page content. For YouTube video URLs it - fetches the transcript directly instead of crawling the page. - - Common triggers: - - "Read this article and summarize it" - - "What does this page say about X?" - - "Summarize this blog post for me" - - "Tell me the key points from this article" - - "What's in this webpage?" - - Args: - url: The URL of the webpage to scrape (must be HTTP/HTTPS) - max_length: Maximum content length to return (default: 50000 chars) - - Returns: - A dictionary containing: - - id: Unique identifier for this scrape - - assetId: The URL (for deduplication) - - kind: "article" (type of content) - - href: The URL to open when clicked - - title: Page title - - description: Brief description or excerpt - - content: The extracted main content (markdown format) - - domain: The domain name - - word_count: Approximate word count - - was_truncated: Whether content was truncated - - error: Error message (if scraping failed) - """ - scrape_id = generate_scrape_id(url) - domain = extract_domain(url) - - if not url.startswith(("http://", "https://")): - url = f"https://{url}" - - try: - # YouTube URLs use the transcript API instead of crawling. - video_id = get_youtube_video_id(url) - if video_id: - return await _scrape_youtube_video(url, video_id, max_length) - - connector = WebCrawlerConnector(firecrawl_api_key=firecrawl_api_key) - result, error = await connector.crawl_url(url, formats=["markdown"]) - - if error: - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": domain or "Webpage", - "domain": domain, - "error": error, - } - - if not result: - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": domain or "Webpage", - "domain": domain, - "error": "No content returned from crawler", - } - - content = result.get("content", "") - metadata = result.get("metadata", {}) - - title = metadata.get("title", "") - if not title: - title = domain or url.split("/")[-1] or "Webpage" - - description = metadata.get("description", "") - if not description and content: - first_para = content.split("\n\n")[0] if content else "" - description = ( - first_para[:300] + "..." if len(first_para) > 300 else first_para - ) - - content, was_truncated = truncate_content(content, max_length) - word_count = len(content.split()) - - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": title, - "description": description, - "content": content, - "domain": domain, - "word_count": word_count, - "was_truncated": was_truncated, - "crawler_type": result.get("crawler_type", "unknown"), - "author": metadata.get("author"), - "date": metadata.get("date"), - } - - except Exception as e: - error_message = str(e) - logger.error(f"[scrape_webpage] Error scraping {url}: {error_message}") - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": domain or "Webpage", - "domain": domain, - "error": f"Failed to scrape: {error_message[:100]}", - } - - return scrape_webpage diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/update_memory.py b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/update_memory.py index 78a65201b..333d10e4b 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/update_memory.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/tools/update_memory.py @@ -53,7 +53,7 @@ def create_update_memory_tool( def create_update_team_memory_tool( - search_space_id: int, + workspace_id: int, db_session: AsyncSession, llm: Any | None = None, ): @@ -62,7 +62,7 @@ def create_update_team_memory_tool( @tool async def update_memory(updated_memory: str) -> dict[str, Any]: - """Update the team's shared memory document for this search space. + """Update the team's shared memory document for this workspace. The current team memory is shown in . Pass the FULL updated markdown document, not a diff. @@ -71,7 +71,7 @@ def create_update_team_memory_tool( async with async_session_maker() as db_session: result = await save_memory( scope=MemoryScope.TEAM, - target_id=search_space_id, + target_id=workspace_id, content=updated_memory, session=db_session, llm=llm, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/document_render/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/document_render/__init__.py index 42368891d..ff2a8dd33 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/document_render/__init__.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/document_render/__init__.py @@ -1,9 +1,8 @@ -"""Render citable documents for the model: one shape for search, read, and web. +"""Render citable documents for the model: one shape for search and read. ``render_document`` emits one ```` block whose passages carry server-assigned ``[n]`` labels. ``render_search_context`` -wraps KB excerpt blocks in ````; ``render_web_results`` wraps web -excerpt blocks in ````. Both cite with the same ``[n]`` spine. +wraps KB excerpt blocks in ```` and cites with the ``[n]`` spine. """ from __future__ import annotations @@ -12,7 +11,6 @@ from .document import render_document from .models import DocumentView, RenderableDocument, RenderablePassage from .search_context import render_search_context from .source_label import source_label -from .web_results import render_web_results __all__ = [ "DocumentView", @@ -20,6 +18,5 @@ __all__ = [ "RenderablePassage", "render_document", "render_search_context", - "render_web_results", "source_label", ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/document_render/web_results.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/document_render/web_results.py deleted file mode 100644 index c0ea7e167..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/document_render/web_results.py +++ /dev/null @@ -1,46 +0,0 @@ -"""Wrap live web-search results in a ```` block. - -Each result renders through the shared ``render_document`` (excerpt view), so a -web result is cited with ``[n]`` exactly like a knowledge-base passage. Only the -container and header differ — they tell the model these came from the public web, -not the user's workspace. -""" - -from __future__ import annotations - -from app.agents.chat.multi_agent_chat.shared.citations import CitationRegistry - -from .document import render_document -from .models import RenderableDocument - -_HEADER = ( - "These are live results from a public web search for this query. Each\n" - " below is one result in excerpt view; cite a result with its [n]\n" - "after the statement it supports. Scrape the URL for full context before\n" - "making a definitive claim from a snippet." -) - - -def render_web_results( - documents: list[RenderableDocument], - registry: CitationRegistry, -) -> str | None: - """Render web results as excerpt blocks inside ````. - - Returns ``None`` when no result has content to show, so the caller can skip - the block. Mutates ``registry`` (find-or-create), so a URL seen again keeps - its original ``[n]``. - """ - blocks = [ - block - for document in documents - if (block := render_document(document, view="excerpt", registry=registry)) - is not None - ] - if not blocks: - return None - - return "\n" + _HEADER + "\n" + "\n".join(blocks) + "\n" - - -__all__ = ["render_web_results"] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/backends/kb_postgres.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/backends/kb_postgres.py index cb0f4cc69..d21ce03c6 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/backends/kb_postgres.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/backends/kb_postgres.py @@ -120,8 +120,8 @@ class KBPostgresBackend(BackendProtocol): _IMAGE_EXTENSIONS = frozenset({".png", ".jpg", ".jpeg", ".gif", ".webp"}) - def __init__(self, search_space_id: int, runtime: ToolRuntime) -> None: - self.search_space_id = search_space_id + def __init__(self, workspace_id: int, runtime: ToolRuntime) -> None: + self.workspace_id = workspace_id self.runtime = runtime @property @@ -405,7 +405,7 @@ class KBPostgresBackend(BackendProtocol): if not normalized_path.startswith(DOCUMENTS_ROOT): return [], set() - index = await build_path_index(session, self.search_space_id) + index = await build_path_index(session, self.workspace_id) target_folder_id: int | None = None if normalized_path != DOCUMENTS_ROOT: target_path = normalized_path @@ -418,7 +418,7 @@ class KBPostgresBackend(BackendProtocol): result = await session.execute( select(Document.id, Document.title, Document.folder_id, Document.updated_at) - .where(Document.search_space_id == self.search_space_id) + .where(Document.workspace_id == self.workspace_id) .where( Document.folder_id == target_folder_id if target_folder_id is not None @@ -519,7 +519,7 @@ class KBPostgresBackend(BackendProtocol): async with shielded_async_session() as session: document_row = await virtual_path_to_doc( session, - search_space_id=self.search_space_id, + workspace_id=self.workspace_id, virtual_path=path, ) if document_row is None: @@ -667,10 +667,10 @@ class KBPostgresBackend(BackendProtocol): if normalized.startswith(DOCUMENTS_ROOT) or normalized == "/": try: async with shielded_async_session() as session: - index = await build_path_index(session, self.search_space_id) + index = await build_path_index(session, self.workspace_id) rows = await session.execute( select(Document.id, Document.title, Document.folder_id).where( - Document.search_space_id == self.search_space_id + Document.workspace_id == self.workspace_id ) ) for row in rows.all(): @@ -747,11 +747,11 @@ class KBPostgresBackend(BackendProtocol): if normalized.startswith(DOCUMENTS_ROOT) or normalized == "/": try: async with shielded_async_session() as session: - index = await build_path_index(session, self.search_space_id) + index = await build_path_index(session, self.workspace_id) sub = ( select(Chunk.document_id, Chunk.id, Chunk.content) .join(Document, Document.id == Chunk.document_id) - .where(Document.search_space_id == self.search_space_id) + .where(Document.workspace_id == self.workspace_id) .where(Chunk.content.ilike(f"%{pattern}%")) .order_by(Chunk.document_id, Chunk.position, Chunk.id) ) @@ -849,14 +849,14 @@ class KBPostgresBackend(BackendProtocol): try: async with shielded_async_session() as session: - index = await build_path_index(session, self.search_space_id) + index = await build_path_index(session, self.workspace_id) doc_rows_raw = await session.execute( select( Document.id, Document.title, Document.folder_id, Document.updated_at, - ).where(Document.search_space_id == self.search_space_id) + ).where(Document.workspace_id == self.workspace_id) ) doc_rows = list(doc_rows_raw.all()) except Exception as exc: # pragma: no cover diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/backends/resolver.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/backends/resolver.py index 4553df7ff..4b8c3dc6f 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/backends/resolver.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/backends/resolver.py @@ -31,14 +31,14 @@ def _cached_multi_root_backend( def build_backend_resolver( selection: FilesystemSelection, *, - search_space_id: int | None = None, + workspace_id: int | None = None, ) -> Callable[[ToolRuntime], BackendProtocol]: """Create deepagents backend resolver for the selected filesystem mode. In cloud mode the resolver returns a fresh :class:`KBPostgresBackend` bound to the current ``runtime`` so the backend can read staging state (``staged_dirs``, ``pending_moves``, ``files`` cache, ``kb_anon_doc``) - for each tool call. When no ``search_space_id`` + for each tool call. When no ``workspace_id`` is provided, the resolver falls back to :class:`StateBackend` (used by sub-agents and tests that don't need DB-backed reads). @@ -55,10 +55,10 @@ def build_backend_resolver( return _resolve_local - if search_space_id is not None: + if workspace_id is not None: def _resolve_kb(runtime: ToolRuntime) -> BackendProtocol: - return KBPostgresBackend(search_space_id, runtime) + return KBPostgresBackend(workspace_id, runtime) return _resolve_kb diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/index.py index 91bc4db7c..e4d2fdf78 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/index.py @@ -13,7 +13,7 @@ def build_filesystem_mw( *, backend_resolver: Any, filesystem_mode: FilesystemMode, - search_space_id: int, + workspace_id: int, user_id: str | None, thread_id: int | None, read_only: bool = False, @@ -21,7 +21,7 @@ def build_filesystem_mw( return SurfSenseFilesystemMiddleware( backend=backend_resolver, filesystem_mode=filesystem_mode, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user_id, thread_id=thread_id, read_only=read_only, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/middleware/middleware.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/middleware/middleware.py index c3b06ff12..95f217df6 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/middleware/middleware.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/middleware/filesystem/middleware/middleware.py @@ -49,14 +49,14 @@ class SurfSenseFilesystemMiddleware(FilesystemMiddleware): *, backend: Any = None, filesystem_mode: FilesystemMode = FilesystemMode.CLOUD, - search_space_id: int | None = None, + workspace_id: int | None = None, created_by_id: str | None = None, thread_id: int | str | None = None, tool_token_limit_before_evict: int | None = 20000, read_only: bool = False, ) -> None: self._filesystem_mode = filesystem_mode - self._search_space_id = search_space_id + self._workspace_id = workspace_id self._created_by_id = created_by_id self._thread_id = thread_id self._read_only = read_only diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/receipts/receipt.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/receipts/receipt.py index b1986a224..569e710eb 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/receipts/receipt.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/receipts/receipt.py @@ -33,10 +33,13 @@ from __future__ import annotations from typing import Any, Literal, TypedDict -# Subagent that emitted this receipt. +# Subagent that emitted this receipt. ``mcp_discovery`` is the current +# connected-apps route; the per-connector literals below it are retained so +# historical receipts (persisted in old checkpoints) still type-check. ReceiptRoute = Literal[ "deliverables", "knowledge_base", + "mcp_discovery", "notion", "slack", "gmail", @@ -102,7 +105,7 @@ class Receipt(TypedDict, total=False): ``None`` only when the operation failed before the backend assigned one.""" verifiable_url: str | None - """URL the parent can pass to ``scrape_webpage`` to verify the + """URL the parent can crawl (via ``task(web_crawler, …)``) to verify the operation. ``None`` when no public URL exists (Gmail, KB, raw images stored in the DB).""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/__init__.py index 7d68d2238..0a32feff6 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/__init__.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/__init__.py @@ -1,18 +1,17 @@ """Knowledge-base retrieval: hybrid search rendered as citable evidence. -Public surface is the service (``search_knowledge_base_context``) and its input -value object (``SearchScope``); the rest are building blocks. +Public surface is ``build_context`` (rerank → adapt → render) and the +``SearchScope`` input value object; the rest are building blocks. """ from __future__ import annotations from .models import ChunkHit, DocumentHit, SearchScope -from .service import build_context, search_knowledge_base_context +from .service import build_context __all__ = [ "ChunkHit", "DocumentHit", "SearchScope", "build_context", - "search_knowledge_base_context", ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/hybrid_search.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/hybrid_search.py index cc200b3a6..70fe5d47f 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/hybrid_search.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/hybrid_search.py @@ -31,7 +31,7 @@ _SURFACE = "chunks" async def search_chunks( db_session: AsyncSession, *, - search_space_id: int, + workspace_id: int, query: str, scope: SearchScope, top_k: int, @@ -44,14 +44,14 @@ async def search_chunks( """ started = time.perf_counter() with otel.kb_search_span( - search_space_id=search_space_id, + workspace_id=workspace_id, query_chars=len(query), extra={"search.surface": _SURFACE, "search.mode": "hybrid"}, ) as span: try: documents = await _search( db_session, - search_space_id=search_space_id, + workspace_id=workspace_id, query=query, scope=scope, top_k=top_k, @@ -60,14 +60,14 @@ async def search_chunks( finally: elapsed_ms = (time.perf_counter() - started) * 1000 metrics.record_kb_search_duration( - elapsed_ms, search_space_id=search_space_id, surface=_SURFACE + elapsed_ms, workspace_id=workspace_id, surface=_SURFACE ) span.set_attribute("result.count", len(documents)) get_perf_logger().info( "[chunk_search] hybrid in %.3fs docs=%d space=%d", elapsed_ms / 1000, len(documents), - search_space_id, + workspace_id, ) return documents @@ -75,7 +75,7 @@ async def search_chunks( async def _search( db_session: AsyncSession, *, - search_space_id: int, + workspace_id: int, query: str, scope: SearchScope, top_k: int, @@ -91,7 +91,7 @@ async def _search( config.embedding_model_instance.embed, query ) - conditions = _base_conditions(search_space_id, scope, document_types) + conditions = _base_conditions(workspace_id, scope, document_types) rows = await _fused_chunks( db_session, query=query, @@ -116,13 +116,13 @@ def _resolve_document_types( def _base_conditions( - search_space_id: int, + workspace_id: int, scope: SearchScope, document_types: list[DocumentType] | None, ) -> list: """Filters shared by both search legs.""" conditions = [ - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, func.coalesce(Document.status["state"].astext, "ready") != "deleting", ] if document_types: diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/service.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/service.py index e9cfa18dd..cdef30bf3 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/service.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/retrieval/service.py @@ -1,54 +1,27 @@ -"""Search the knowledge base and render it as model-facing ````. +"""Render knowledge-base hits as model-facing ````. -The retrieval spine end to end: hybrid search → rerank → adapt → render, with -each shown passage registered for ``[n]`` citation along the way. +The tail of the retrieval spine: rerank → adapt → render, registering each +shown passage for ``[n]`` citation. Hybrid search itself lives in +``hybrid_search``; callers (the ``search_knowledge_base`` tool) pass its hits +straight into :func:`build_context`. """ from __future__ import annotations from typing import TYPE_CHECKING -from sqlalchemy.ext.asyncio import AsyncSession - from app.agents.chat.multi_agent_chat.shared.citations import CitationRegistry from app.agents.chat.multi_agent_chat.shared.document_render import ( render_search_context, ) from .adapter import to_renderable_document -from .hybrid_search import search_chunks -from .models import DocumentHit, SearchScope +from .models import DocumentHit from .reranking import rerank_hits if TYPE_CHECKING: from app.services.reranker_service import RerankerService -_DEFAULT_TOP_K = 10 - - -async def search_knowledge_base_context( - db_session: AsyncSession, - *, - search_space_id: int, - query: str, - registry: CitationRegistry, - scope: SearchScope | None = None, - reranker: RerankerService | None = None, - top_k: int = _DEFAULT_TOP_K, -) -> str | None: - """Retrieve KB evidence for ``query`` and render it, registering each ``[n]``. - - Returns ``None`` when nothing matched, so the caller can skip the block. - """ - hits = await search_chunks( - db_session, - search_space_id=search_space_id, - query=query, - scope=scope or SearchScope(), - top_k=top_k, - ) - return build_context(query, hits, registry, reranker=reranker) - def build_context( query: str, @@ -63,4 +36,4 @@ def build_context( return render_search_context(documents, registry) -__all__ = ["build_context", "search_knowledge_base_context"] +__all__ = ["build_context"] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/catalog.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/catalog.py index 63ce2ef1f..1a11dd6d7 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/catalog.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/catalog.py @@ -64,14 +64,6 @@ TOOL_CATALOG: list[ToolMetadata] = [ name="search_knowledge_base", description="Search the user's knowledge base with hybrid semantic + keyword retrieval", ), - ToolMetadata( - name="scrape_webpage", - description="Scrape and extract the main content from a webpage", - ), - ToolMetadata( - name="web_search", - description="Search the web for real-time information using configured search engines", - ), ToolMetadata( name="create_automation", description="Draft an automation from an NL intent; user approves the card; tool saves", diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/hitl.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/hitl.py index 9b16e1a4c..16c934187 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/hitl.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/hitl.py @@ -34,7 +34,7 @@ logger = logging.getLogger(__name__) # artifact in the user's own workspace with no external visibility (drafts # aren't sent; new files aren't shared). They still call ``request_approval``, # which returns ``decision_type="auto_approved"`` without firing an interrupt. -# Per-search-space ``agent_permission_rules`` can re-enable prompting. +# Per-workspace ``agent_permission_rules`` can re-enable prompting. DEFAULT_AUTO_APPROVED_TOOLS: frozenset[str] = frozenset( { "create_gmail_draft", diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/mcp/cache.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/mcp/cache.py index d088fac0b..83fdc1fa2 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/mcp/cache.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/mcp/cache.py @@ -99,11 +99,11 @@ async def write_cached_tools( def refresh_mcp_tools_cache_for_connector( connector_id: int, - search_space_id: int, + workspace_id: int, ) -> None: """Maintain the MCP tool cache after a single-connector lifecycle event. - Synchronously evicts the in-process LRU for the connector's search space + Synchronously evicts the in-process LRU for the connector's workspace (LRU keys are per-space, so eviction cannot be scoped finer), then schedules a background live discovery for this connector alone so its persisted ``cached_tools`` row is refreshed before the next user query. @@ -116,11 +116,11 @@ def refresh_mcp_tools_cache_for_connector( invalidate_mcp_tools_cache, ) - invalidate_mcp_tools_cache(search_space_id) + invalidate_mcp_tools_cache(workspace_id) except Exception: logger.debug( "MCP in-process cache eviction skipped for space %d", - search_space_id, + workspace_id, exc_info=True, ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/mcp/tool.py b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/mcp/tool.py index a1240391b..fc86dc001 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/mcp/tool.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/shared/tools/mcp/tool.py @@ -56,7 +56,7 @@ _MCP_CACHE_MAX_SIZE = 50 _MCP_DISCOVERY_TIMEOUT_SECONDS = 30 _TOOL_CALL_MAX_RETRIES = 3 _TOOL_CALL_RETRY_DELAY = 1.5 # seconds, doubles per attempt -# Keyed by ``(search_space_id, bypass_internal_hitl)`` so single-agent and +# Keyed by ``(workspace_id, bypass_internal_hitl)`` so single-agent and # multi-agent paths cannot share tool closures with different HITL wiring. _MCPCacheKey = tuple[int, bool] _mcp_tools_cache: dict[_MCPCacheKey, tuple[float, list[StructuredTool]]] = {} @@ -649,14 +649,31 @@ async def _load_http_mcp_tools( total_discovered = len(tool_definitions) if allowed_set: - tool_definitions = [td for td in tool_definitions if td["name"] in allowed_set] - logger.info( - "HTTP MCP server '%s' (connector %d): %d/%d tools after allowlist filter", - url, - connector_id, - len(tool_definitions), - total_discovered, - ) + filtered = [td for td in tool_definitions if td["name"] in allowed_set] + if not filtered and total_discovered: + # The server renamed its tools out from under our allowlist + # (e.g. Notion's "notion-" prefix rename) — a fully-dead + # allowlist would silently disable the connector. Load + # everything instead: renamed tools won't match + # ``readonly_tools`` either, so every tool stays HITL-gated. + logger.warning( + "HTTP MCP server '%s' (connector %d): allowlist matched 0/%d " + "advertised tools — server likely renamed its tools. " + "Loading all tools (HITL-gated). Update the registry allowlist: %s", + url, + connector_id, + total_discovered, + sorted(td["name"] for td in tool_definitions), + ) + else: + tool_definitions = filtered + logger.info( + "HTTP MCP server '%s' (connector %d): %d/%d tools after allowlist filter", + url, + connector_id, + len(tool_definitions), + total_discovered, + ) else: logger.info( "Discovered %d tools from HTTP MCP server '%s' (connector %d) — no allowlist, loading all", @@ -814,7 +831,7 @@ async def _refresh_connector_token( await session.commit() await session.refresh(connector) - invalidate_mcp_tools_cache(connector.search_space_id) + invalidate_mcp_tools_cache(connector.workspace_id) return new_access @@ -990,7 +1007,7 @@ async def _mark_connector_auth_expired(connector_id: int) -> None: "Marked MCP connector %s as auth_expired after unrecoverable 401", connector_id, ) - invalidate_mcp_tools_cache(connector.search_space_id) + invalidate_mcp_tools_cache(connector.workspace_id) except Exception: logger.warning( @@ -1000,10 +1017,10 @@ async def _mark_connector_auth_expired(connector_id: int) -> None: ) -def invalidate_mcp_tools_cache(search_space_id: int | None = None) -> None: +def invalidate_mcp_tools_cache(workspace_id: int | None = None) -> None: """Invalidate cached MCP tools (both ``bypass_internal_hitl`` variants together).""" - if search_space_id is not None: - for key in [k for k in _mcp_tools_cache if k[0] == search_space_id]: + if workspace_id is not None: + for key in [k for k in _mcp_tools_cache if k[0] == workspace_id]: _mcp_tools_cache.pop(key, None) else: _mcp_tools_cache.clear() @@ -1099,27 +1116,27 @@ async def discover_single_mcp_connector(connector_id: int) -> None: async def load_mcp_tools( session: AsyncSession, - search_space_id: int, + workspace_id: int, *, bypass_internal_hitl: bool = False, ) -> list[StructuredTool]: """Load all MCP tools from the user's active MCP server connectors. - Results are cached per ``(search_space_id, bypass_internal_hitl)`` for up + Results are cached per ``(workspace_id, bypass_internal_hitl)`` for up to 5 minutes; bypass is keyed because each variant builds a different tool closure (with vs. without the in-wrapper ``request_approval`` gate). """ _evict_expired_mcp_cache() now = time.monotonic() - cache_key: _MCPCacheKey = (search_space_id, bypass_internal_hitl) + cache_key: _MCPCacheKey = (workspace_id, bypass_internal_hitl) cached = _mcp_tools_cache.get(cache_key) if cached is not None: cached_at, cached_tools = cached if now - cached_at < _MCP_CACHE_TTL_SECONDS: logger.info( - "Using cached MCP tools for search space %s (%d tools, age=%.0fs, bypass_hitl=%s)", - search_space_id, + "Using cached MCP tools for workspace %s (%d tools, age=%.0fs, bypass_hitl=%s)", + workspace_id, len(cached_tools), now - cached_at, bypass_internal_hitl, @@ -1132,7 +1149,7 @@ async def load_mcp_tools( # Cast JSON -> JSONB so we can use has_key to filter by the presence of "server_config". result = await session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, cast(SearchSourceConnector.config, JSONB).has_key("server_config"), ), ) @@ -1322,9 +1339,9 @@ async def load_mcp_tools( del _mcp_tools_cache[oldest_key] logger.info( - "Loaded %d MCP tools for search space %d (bypass_hitl=%s)", + "Loaded %d MCP tools for workspace %d (bypass_hitl=%s)", len(tools), - search_space_id, + workspace_id, bypass_internal_hitl, ) return tools diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/generate_image.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/generate_image.py index c481c6c3d..6ab48d815 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/generate_image.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/generate_image.py @@ -1,4 +1,4 @@ -"""Image generation via litellm; resolves model config from the search space and returns UI-ready payloads.""" +"""Image generation via litellm; resolves model config from the workspace and returns UI-ready payloads.""" import hashlib import logging @@ -18,7 +18,7 @@ from app.config import config from app.db import ( ImageGeneration, Model, - SearchSpace, + Workspace, shielded_async_session, ) from app.services.auto_model_pin_service import ( @@ -48,14 +48,14 @@ def _get_global_connection(connection_id: int) -> dict | None: def create_generate_image_tool( - search_space_id: int, + workspace_id: int, db_session: AsyncSession, image_gen_model_id_override: int | None = None, ): - """Create ``generate_image`` with bound search space; DB work uses a per-call session. + """Create ``generate_image`` with bound workspace; DB work uses a per-call session. ``image_gen_model_id_override``: when set (automations running on a - captured model), use this model id instead of reading the search space's + captured model), use this model id instead of reading the workspace's live ``image_gen_model_id``. """ del db_session # tool uses a fresh per-call session instead @@ -102,23 +102,21 @@ def create_generate_image_tool( # autoflushes from a concurrent writer poison this tool too. async with shielded_async_session() as session: result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) + select(Workspace).filter(Workspace.id == workspace_id) ) - search_space = result.scalars().first() - if not search_space: + workspace = result.scalars().first() + if not workspace: return _failed( - {"error": "Search space not found"}, - error="Search space not found", + {"error": "Workspace not found"}, + error="Workspace not found", ) if image_gen_model_id_override is not None: # Automation run: use the captured image model, insulated from - # later search-space changes. No search-space read needed. + # later workspace changes. No workspace read needed. config_id = image_gen_model_id_override or IMAGE_GEN_AUTO_MODE_ID else: - config_id = ( - search_space.image_gen_model_id or IMAGE_GEN_AUTO_MODE_ID - ) + config_id = workspace.image_gen_model_id or IMAGE_GEN_AUTO_MODE_ID # size/quality/style are intentionally omitted: valid values # differ per model, so we let each model use its own defaults. @@ -129,8 +127,8 @@ def create_generate_image_tool( if is_image_gen_auto_mode(config_id): candidates = await auto_model_candidates( session, - search_space_id=search_space_id, - user_id=search_space.user_id, + workspace_id=workspace_id, + user_id=workspace.user_id, capability="image_gen", ) if not candidates: @@ -140,7 +138,7 @@ def create_generate_image_tool( ) return _failed({"error": err}, error=err) config_id = int( - choose_auto_model_candidate(candidates, search_space_id)["id"] + choose_auto_model_candidate(candidates, workspace_id)["id"] ) provider_base_url: str | None = None @@ -186,15 +184,12 @@ def create_generate_image_tool( return _failed({"error": err}, error=err) conn = db_model.connection if ( - conn.search_space_id is not None - and conn.search_space_id != search_space_id + conn.workspace_id is not None + and conn.workspace_id != workspace_id ): err = f"Image generation model {config_id} not found" return _failed({"error": err}, error=err) - if ( - conn.user_id is not None - and conn.user_id != search_space.user_id - ): + if conn.user_id is not None and conn.user_id != workspace.user_id: err = f"Image generation model {config_id} not found" return _failed({"error": err}, error=err) if not has_capability(db_model, "image_gen"): @@ -225,7 +220,7 @@ def create_generate_image_tool( n=n, image_gen_model_id=config_id, response_data=response_dict, - search_space_id=search_space_id, + workspace_id=workspace_id, access_token=access_token, ) session.add(db_image_gen) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/index.py index 8de95f2df..6db66a157 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/index.py @@ -28,28 +28,28 @@ def load_tools( d = {**(dependencies or {}), **kwargs} return [ create_generate_podcast_tool( - search_space_id=d["search_space_id"], + workspace_id=d["workspace_id"], db_session=d["db_session"], thread_id=d["thread_id"], ), create_generate_video_presentation_tool( - search_space_id=d["search_space_id"], + workspace_id=d["workspace_id"], db_session=d["db_session"], thread_id=d["thread_id"], ), create_generate_report_tool( - search_space_id=d["search_space_id"], + workspace_id=d["workspace_id"], thread_id=d["thread_id"], connector_service=d.get("connector_service"), available_connectors=d.get("available_connectors"), available_document_types=d.get("available_document_types"), ), create_generate_resume_tool( - search_space_id=d["search_space_id"], + workspace_id=d["workspace_id"], thread_id=d["thread_id"], ), create_generate_image_tool( - search_space_id=d["search_space_id"], + workspace_id=d["workspace_id"], db_session=d["db_session"], image_gen_model_id_override=d.get("image_gen_model_id_override"), ), diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/podcast.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/podcast.py index d8d28ceb1..fb71a3a0d 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/podcast.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/podcast.py @@ -28,11 +28,11 @@ logger = logging.getLogger(__name__) def create_generate_podcast_tool( - search_space_id: int, + workspace_id: int, db_session: AsyncSession, thread_id: int | None = None, ): - """Create ``generate_podcast`` with bound search space and thread; DB writes use a tool-local session.""" + """Create ``generate_podcast`` with bound workspace and thread; DB writes use a tool-local session.""" del db_session # writes use a fresh tool-local session, see below @tool @@ -77,13 +77,13 @@ def create_generate_podcast_tool( service = PodcastService(session) podcast = await service.create( title=podcast_title, - search_space_id=search_space_id, + workspace_id=workspace_id, thread_id=resolve_root_thread_id(runtime, thread_id), ) podcast.source_content = source_content spec = await propose_brief( session, - search_space_id=search_space_id, + workspace_id=workspace_id, focus=user_prompt, ) await service.attach_brief(podcast, spec) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/report.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/report.py index c80a2a565..e95d6f61e 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/report.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/report.py @@ -31,7 +31,7 @@ def _report_search_types( """Build the document-type scope for the shared KB search. ``None`` means "search every indexed type"; a tuple narrows the scope to the - connectors/document types the search space actually has. + connectors/document types the workspace actually has. """ types: set[str] = set() if available_document_types: @@ -561,7 +561,7 @@ async def _revise_with_sections( def create_generate_report_tool( - search_space_id: int, + workspace_id: int, thread_id: int | None = None, connector_service: ConnectorService | None = None, available_connectors: list[str] | None = None, @@ -728,7 +728,7 @@ def create_generate_report_tool( "error_message": error_msg, }, report_style=report_style, - search_space_id=search_space_id, + workspace_id=workspace_id, thread_id=resolve_root_thread_id(runtime, thread_id), report_group_id=report_group_id, ) @@ -769,7 +769,7 @@ def create_generate_report_tool( "creating standalone report" ) - llm = await get_agent_llm(read_session, search_space_id) + llm = await get_agent_llm(read_session, workspace_id) if not llm: error_msg = ( @@ -846,7 +846,7 @@ def create_generate_report_tool( async with shielded_async_session() as kb_session: return await search_chunks( kb_session, - search_space_id=search_space_id, + workspace_id=workspace_id, query=q, scope=scope, top_k=10, @@ -1044,7 +1044,7 @@ def create_generate_report_tool( content=report_content, report_metadata=metadata, report_style=report_style, - search_space_id=search_space_id, + workspace_id=workspace_id, thread_id=resolve_root_thread_id(runtime, thread_id), report_group_id=report_group_id, ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/resume.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/resume.py index 35dc996a1..c3475fb45 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/resume.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/resume.py @@ -421,7 +421,7 @@ def _validate_max_pages(max_pages: int) -> int: def create_generate_resume_tool( - search_space_id: int, + workspace_id: int, thread_id: int | None = None, ): """ @@ -531,7 +531,7 @@ def create_generate_resume_tool( "error_message": error_msg, }, report_style="resume", - search_space_id=search_space_id, + workspace_id=workspace_id, thread_id=resolve_root_thread_id(runtime, thread_id), report_group_id=report_group_id, ) @@ -581,7 +581,7 @@ def create_generate_resume_tool( f"(group {report_group_id})" ) - llm = await get_agent_llm(read_session, search_space_id) + llm = await get_agent_llm(read_session, workspace_id) if not llm: error_msg = ( @@ -819,7 +819,7 @@ def create_generate_resume_tool( content_type="typst", report_metadata=metadata, report_style="resume", - search_space_id=search_space_id, + workspace_id=workspace_id, thread_id=resolve_root_thread_id(runtime, thread_id), report_group_id=report_group_id, ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/video_presentation.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/video_presentation.py index f0fcf6e73..3797ac3d8 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/video_presentation.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/deliverables/tools/video_presentation.py @@ -31,11 +31,11 @@ logger = logging.getLogger(__name__) def create_generate_video_presentation_tool( - search_space_id: int, + workspace_id: int, db_session: AsyncSession, thread_id: int | None = None, ): - """Create ``generate_video_presentation`` with bound search space and thread; writes use a tool-local session.""" + """Create ``generate_video_presentation`` with bound workspace and thread; writes use a tool-local session.""" del db_session # writes use a fresh tool-local session, see below @tool @@ -60,7 +60,7 @@ def create_generate_video_presentation_tool( video_pres = VideoPresentation( title=video_title, status=VideoPresentationStatus.PENDING, - search_space_id=search_space_id, + workspace_id=workspace_id, thread_id=resolve_root_thread_id(runtime, thread_id), ) session.add(video_pres) @@ -75,7 +75,7 @@ def create_generate_video_presentation_tool( task = generate_video_presentation_task.delay( video_presentation_id=video_pres_id, source_content=source_content, - search_space_id=search_space_id, + workspace_id=workspace_id, user_prompt=user_prompt, ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/__init__.py new file mode 100644 index 000000000..aef5d5e5f --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/__init__.py @@ -0,0 +1 @@ +"""``google_maps`` builtin subagent: structured Google Maps place/review data.""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/agent.py similarity index 79% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/agent.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/agent.py index 49973d08c..df5d9e8d4 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/agent.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/agent.py @@ -1,9 +1,4 @@ -"""``luma`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools self-gate inside their bodies via :func:`request_approval`; the -empty :data:`tools.index.RULESET` is layered into a per-subagent -:class:`PermissionMiddleware` for uniformity. -""" +"""``google_maps`` route: ``SurfSenseSubagentSpec`` builder for deepagents.""" from __future__ import annotations @@ -33,7 +28,7 @@ def build_subagent( tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] description = ( read_md_file(__package__, "description").strip() - or "Handles luma tasks for this workspace." + or "Pulls structured data from Google Maps — places and their reviews." ) system_prompt = read_md_file(__package__, "system_prompt").strip() return pack_subagent( diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/description.md new file mode 100644 index 000000000..4cb33109d --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/description.md @@ -0,0 +1,2 @@ +Google Maps specialist: pulls structured data from Google Maps — finds places by search query (optionally scoped to a location), or resolves a Maps URL / place ID into place details (name, address, category, phone, website, rating, review count, coordinates, opening hours), and fetches a place's reviews (author, text, star rating, owner response, dates). Also compares fresh Maps data against earlier findings in this chat. +Use whenever the task involves Google Maps places, local businesses, or a google.com/maps link. Triggers include "find near/in X", "get details for this place", "phone/address/hours/rating of X", "how many reviews", "get the reviews for this place", "what are people saying about this business", and comparisons against earlier Maps results in this chat. Not for general web pages (use the web crawling specialist) or YouTube (use the YouTube specialist). diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/system_prompt.md new file mode 100644 index 000000000..5684859ff --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/system_prompt.md @@ -0,0 +1,66 @@ +You are the SurfSense Google Maps sub-agent. +You receive delegated instructions from a supervisor agent and return structured results for supervisor synthesis. + + +Answer the delegated question from live Google Maps data gathered with your verbs, comparing against earlier results already in this conversation when the task calls for it. + + + +- `google_maps_scrape` +- `google_maps_reviews` +- `read_run` / `search_run` (free readers for stored scrape output) + + + +- Finding places on a topic: call `google_maps_scrape` with `search_queries`, adding `location` to scope them (e.g. "coffee shops" in "Austin, USA"). +- Known place links or IDs: call `google_maps_scrape` with the links in `urls` or the IDs in `place_ids`. +- Need richer detail (opening hours, popular times, extra contact info): set `include_details=true`. +- Reviews / sentiment on specific places: call `google_maps_reviews` with the place `urls` or `place_ids`. +- Batch multiple queries, URLs, or place IDs into one call rather than many single-item calls. +- Exclusion criteria are strict: when the task excludes a category or brand, drop every place whose name, website domain, or category matches it — a local branch or satellite location of an excluded chain/system is still that chain, never reinterpret it as acceptable. Fill the gap with more or wider queries instead. +- The website domain is an ownership signal: a place whose site lives on a parent organization's domain (a government portal, a chain's site, a health-system or franchise domain) rather than its own belongs to that parent — judge include/exclude criteria against the parent, and treat multiple locations sharing one parent domain as one organization. + +- Comparison requests: pull the current values, compare against prior values already in this conversation's earlier tool results, and report concrete deltas (added, removed, old -> new). + + + +- Use only tools in ``. +- An item whose `status` is not `success` returned no data — report it unavailable, never invent it. +- Report only deltas you can point to in the evidence. Never fabricate facts, counts, quotes, ratings, or URLs. + + + +- Do not generate deliverables or perform connector mutations; return findings for the supervisor to act on. +- Non-Maps web pages belong to the web crawling specialist; YouTube belongs to the YouTube specialist. + + + +- Report uncertainty explicitly when evidence is incomplete or conflicting. +- Never present unverified claims as facts. + + + +- Underspecified request — no usable search query, URL, or place ID — return `status=blocked` with the missing fields. +- Tool failure: return `status=error` with a concise recovery `next_step`. +- No useful evidence: return `status=blocked` with a narrower query or the URLs/IDs you still need. + + + +Return **only** one JSON object (no markdown/prose): +{ + "status": "success" | "partial" | "blocked" | "error", + "action_summary": string, + "evidence": { + "findings": string[], + "sources": string[], + "confidence": "high" | "medium" | "low" + }, + "next_step": string | null, + "missing_fields": string[] | null, + "assumptions": string[] | null +} + +Route-specific rules: +- `evidence.findings`: max 10 entries, each a single sentence stating one distinct fact or delta. Do not paste raw payloads. +- `evidence.sources`: max 10 URLs, one per finding when applicable. List each URL once. + diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/tools/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/__init__.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/tools/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/tools/index.py new file mode 100644 index 000000000..bf2f7eb20 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_maps/tools/index.py @@ -0,0 +1,28 @@ +"""``google_maps`` sub-agent tools: the Google Maps scrape + reviews capability verbs.""" + +from __future__ import annotations + +from typing import Any + +from langchain_core.tools import BaseTool + +from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset +from app.capabilities.core.access.agent import build_capability_tools +from app.capabilities.google_maps.reviews.definition import GOOGLE_MAPS_REVIEWS +from app.capabilities.google_maps.scrape.definition import GOOGLE_MAPS_SCRAPE + +NAME = "google_maps" + +RULESET = Ruleset(origin=NAME, rules=[]) + +_CI_VERBS = [GOOGLE_MAPS_SCRAPE, GOOGLE_MAPS_REVIEWS] + + +def load_tools( + *, dependencies: dict[str, Any] | None = None, **kwargs: Any +) -> list[BaseTool]: + d = {**(dependencies or {}), **kwargs} + return build_capability_tools( + workspace_id=d.get("workspace_id"), + capabilities=_CI_VERBS, + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/__init__.py new file mode 100644 index 000000000..134c436ca --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/__init__.py @@ -0,0 +1 @@ +"""``google_search`` builtin subagent: structured Google Search results.""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/agent.py similarity index 79% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/agent.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/agent.py index be8adc17c..f98d68ac4 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/agent.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/agent.py @@ -1,9 +1,4 @@ -"""``gmail`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools self-gate inside their bodies via :func:`request_approval`; the -empty :data:`tools.index.RULESET` is layered into a per-subagent -:class:`PermissionMiddleware` for uniformity. -""" +"""``google_search`` route: ``SurfSenseSubagentSpec`` builder for deepagents.""" from __future__ import annotations @@ -33,7 +28,7 @@ def build_subagent( tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] description = ( read_md_file(__package__, "description").strip() - or "Handles gmail tasks for this workspace." + or "Searches Google and returns structured results for a query." ) system_prompt = read_md_file(__package__, "system_prompt").strip() return pack_subagent( diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/description.md new file mode 100644 index 000000000..d646d3a8b --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/description.md @@ -0,0 +1,2 @@ +Google Search specialist: runs Google searches and returns structured SERP data — organic results (title, URL, description), related queries, people-also-ask, and any AI overview. Searches by plain query (optionally scoped to a country/language or restricted to a single site) or scrapes a Google Search URL as-is, and can page deeper with max_pages_per_query. Also compares fresh search results against earlier findings in this chat. +This is the sole path for public web search: use it for any real-time or public-fact lookup (current events, news, prices, weather, exchange rates, live data) as well as to find pages or sources on the open web via Google, discover which sites rank for a topic, or gather a list of result URLs to hand off for crawling. Triggers include "search Google for X", "what's the current X", "latest news on X", "find websites/pages about X", "who ranks for X", "top results for X", "find X's website", and comparisons against earlier search results in this chat. Not for reading a specific page's content (use the web crawling specialist), Google Maps places (use the Google Maps specialist), or YouTube (use the YouTube specialist). diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/system_prompt.md new file mode 100644 index 000000000..1df72cc83 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/system_prompt.md @@ -0,0 +1,65 @@ +You are the SurfSense Google Search sub-agent. +You receive delegated instructions from a supervisor agent and return structured results for supervisor synthesis. + + +Answer the delegated question from live Google Search data gathered with your verb, comparing against earlier results already in this conversation when the task calls for it. + + + +- `google_search_scrape` +- `read_run` / `search_run` (free readers for stored scrape output) + + + +- Finding pages on a topic: call `google_search_scrape` with `queries`, scoping with `country_code`/`language_code` when locale matters. +- Restricting to one website: set `site` (e.g. "example.com") to only return results from that domain. +- Scraping a specific results page: pass the full Google Search URL in `queries`. +- Need more results: raise `max_pages_per_query` to page beyond the first page. +- Batch multiple search terms into one call rather than many single-term calls. + +- Handing URLs off for crawling: return the organic result URLs so the supervisor can route them to the web crawling specialist. +- Comparison requests: pull the current results, compare against prior values already in this conversation's earlier tool results, and report concrete deltas (added, removed, moved up/down). + + + +- Use only tools in ``. +- Report only results present in the tool output. Never invent titles, URLs, snippets, or rankings. + + + +- Do not read or extract a specific page's content — return the URLs for the web crawling specialist. +- Do not generate deliverables or perform connector mutations; return findings for the supervisor to act on. +- Google Maps places belong to the Google Maps specialist; YouTube belongs to the YouTube specialist. +- Discovering physical businesses or venues of a type in a geography ("find X businesses in Y") is the Google Maps specialist's job — if that is the whole task, return `status=blocked` with a `next_step` pointing the supervisor to the Maps specialist instead of approximating it from search snippets. + + + +- Report uncertainty explicitly when evidence is incomplete or conflicting. +- Never present unverified claims as facts. + + + +- Underspecified request — no usable query or URL — return `status=blocked` with the missing fields. +- Tool failure: return `status=error` with a concise recovery `next_step`. +- No useful evidence: return `status=blocked` with a narrower query or the scope you still need. + + + +Return **only** one JSON object (no markdown/prose): +{ + "status": "success" | "partial" | "blocked" | "error", + "action_summary": string, + "evidence": { + "findings": string[], + "sources": string[], + "confidence": "high" | "medium" | "low" + }, + "next_step": string | null, + "missing_fields": string[] | null, + "assumptions": string[] | null +} + +Route-specific rules: +- `evidence.findings`: max 10 entries, each a single sentence stating one distinct result or delta. Do not paste raw payloads. +- `evidence.sources`: max 10 URLs, one per finding when applicable. List each URL once. + diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/tools/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/__init__.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/tools/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/tools/index.py new file mode 100644 index 000000000..4851b7e3e --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/google_search/tools/index.py @@ -0,0 +1,27 @@ +"""``google_search`` sub-agent tools: the Google Search scrape capability verb.""" + +from __future__ import annotations + +from typing import Any + +from langchain_core.tools import BaseTool + +from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset +from app.capabilities.core.access.agent import build_capability_tools +from app.capabilities.google_search.scrape.definition import GOOGLE_SEARCH_SCRAPE + +NAME = "google_search" + +RULESET = Ruleset(origin=NAME, rules=[]) + +_CI_VERBS = [GOOGLE_SEARCH_SCRAPE] + + +def load_tools( + *, dependencies: dict[str, Any] | None = None, **kwargs: Any +) -> list[BaseTool]: + d = {**(dependencies or {}), **kwargs} + return build_capability_tools( + workspace_id=d.get("workspace_id"), + capabilities=_CI_VERBS, + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/agent.py index f193c2404..b4128524a 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/agent.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/agent.py @@ -16,6 +16,9 @@ from langchain_core.tools import BaseTool from app.agents.chat.multi_agent_chat.shared.filesystem_selection import FilesystemMode from app.agents.chat.multi_agent_chat.shared.permissions import Rule, Ruleset from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec +from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( + append_today_utc, +) from .middleware_stack import build_kb_middleware from .prompts import load_description, load_readonly_system_prompt, load_system_prompt @@ -36,7 +39,7 @@ _KB_READONLY_RULESET = Ruleset(origin=READONLY_NAME, rules=[]) def _build_search_knowledge_base_tool(dependencies: dict[str, Any]) -> BaseTool: """Construct the hybrid-RAG ``search_knowledge_base`` tool from shared deps.""" return create_search_knowledge_base_tool( - search_space_id=dependencies["search_space_id"], + workspace_id=dependencies["workspace_id"], available_connectors=dependencies.get("available_connectors"), available_document_types=dependencies.get("available_document_types"), ) @@ -57,7 +60,7 @@ def build_subagent( { "name": NAME, "description": load_description(), - "system_prompt": load_system_prompt(filesystem_mode), + "system_prompt": append_today_utc(load_system_prompt(filesystem_mode)), "model": llm, "tools": [_build_search_knowledge_base_tool(dependencies)], "middleware": build_kb_middleware( @@ -86,7 +89,9 @@ def build_readonly_subagent( { "name": READONLY_NAME, "description": "Read-only knowledge_base specialist (invoked via ask_knowledge_base).", - "system_prompt": load_readonly_system_prompt(filesystem_mode), + "system_prompt": append_today_utc( + load_readonly_system_prompt(filesystem_mode) + ), "model": llm, "tools": [_build_search_knowledge_base_tool(dependencies)], "middleware": build_kb_middleware( diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/middleware_stack.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/middleware_stack.py index 2684e9db7..f0692ebf6 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/middleware_stack.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/middleware_stack.py @@ -115,7 +115,7 @@ def build_kb_middleware( fs_mw = build_filesystem_mw( backend_resolver=dependencies["backend_resolver"], filesystem_mode=filesystem_mode, - search_space_id=dependencies["search_space_id"], + workspace_id=dependencies["workspace_id"], user_id=dependencies.get("user_id"), thread_id=dependencies.get("thread_id"), read_only=read_only, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/tools/search_knowledge_base.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/tools/search_knowledge_base.py index c6559adee..603dd4c54 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/tools/search_knowledge_base.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/knowledge_base/tools/search_knowledge_base.py @@ -38,13 +38,15 @@ _DEFAULT_TOP_K = 5 _MAX_TOP_K = 20 _TOOL_DESCRIPTION = ( - "Search the user's knowledge base (their indexed documents, files, and " - "connector content) for passages relevant to a query, using hybrid " - "semantic + keyword retrieval.\n\n" + "Search the user's knowledge base — their own uploaded files, documents, " + "and notes — for passages relevant to a query, using hybrid semantic + " + "keyword retrieval.\n\n" "Use this FIRST to ground any factual or informational answer about the " - "user's own documents, notes, or connected sources. It returns a " - " block: each matched passage is labelled [n]. Cite a " - "passage by writing that [n] after the statement it supports.\n\n" + "user's personal files and notes. It returns a block: " + "each matched passage is labelled [n]. Cite a passage by writing that [n] " + "after the statement it supports.\n\n" + "This searches only the user's stored files and notes — live data in " + "connected apps (Slack, Jira, Notion, Gmail, etc.) is not indexed here.\n\n" "Write a focused, specific query containing the concrete entities, " "acronyms, people, projects, or terms you are looking for." ) @@ -89,7 +91,7 @@ def _resolve_mention_pins( async def _build_search_scope( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, document_types: tuple[str, ...] | None, runtime: ToolRuntime[None, SurfSenseFilesystemState], ) -> SearchScope: @@ -97,7 +99,7 @@ async def _build_search_scope( mentioned_document_ids, mentioned_folder_ids = _resolve_mention_pins(runtime) document_ids = await referenced_document_ids( session, - search_space_id=search_space_id, + workspace_id=workspace_id, document_ids=mentioned_document_ids, folder_ids=mentioned_folder_ids, ) @@ -109,13 +111,13 @@ async def _build_search_scope( def create_search_knowledge_base_tool( *, - search_space_id: int, + workspace_id: int, available_connectors: list[str] | None = None, available_document_types: list[str] | None = None, ) -> BaseTool: """Factory for the on-demand ``search_knowledge_base`` tool.""" - _space_id = search_space_id + _space_id = workspace_id _document_types = _search_types(available_connectors, available_document_types) async def _impl( @@ -140,13 +142,13 @@ def create_search_knowledge_base_tool( async with shielded_async_session() as session: scope = await _build_search_scope( session, - search_space_id=_space_id, + workspace_id=_space_id, document_types=_document_types, runtime=runtime, ) hits = await search_chunks( session, - search_space_id=_space_id, + workspace_id=_space_id, query=cleaned_query, scope=scope, top_k=clamped_top_k, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/__init__.py new file mode 100644 index 000000000..3ca7cabc8 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/__init__.py @@ -0,0 +1,8 @@ +"""``mcp_discovery`` builtin subagent: the user's connected apps via MCP. + +Consolidates every MCP-backed connector (Slack, Jira, Linear, ClickUp, +Airtable, Notion, Confluence, generic user MCP servers) plus the interim +native Gmail/Calendar tools behind a single subagent. Tools are injected +directly (opencode/hermes pattern) so the tool-name-keyed permission and +"Always Allow" systems keep working unchanged. +""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/agent.py new file mode 100644 index 000000000..f4cc503c3 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/agent.py @@ -0,0 +1,92 @@ +"""``mcp_discovery`` route: ``SurfSenseSubagentSpec`` builder for deepagents. + +Consolidates every MCP-backed connector plus interim native Gmail/Calendar +tools. The permission ruleset is derived from the runtime tool set (not a +static constant) because the MCP tool roster is per-user. +""" + +from __future__ import annotations + +from typing import Any + +from langchain_core.language_models import BaseChatModel +from langchain_core.tools import BaseTool + +from app.agents.chat.multi_agent_chat.shared.permissions import Rule, Ruleset +from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( + read_md_file, +) +from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec +from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( + pack_subagent, +) + +from .tools.index import NAME, build_ruleset, load_tools + + +def _augment_allowlist_for_collision_prefixes( + dependencies: dict[str, Any], + tools: list[BaseTool], +) -> dict[str, Any]: + """Keep "Always Allow" working for tools that got collision-prefixed. + + A tool trusted under its bare name (``search``) can later be renamed to + ``notion_5_search`` once a second app also exposes ``search`` (Phase 2b + collision resolution). The user's persisted allow-rule still keys on the + bare name, so we add an alias allow-rule for the new exposed name when the + original is already trusted. Returns ``dependencies`` unchanged when there + is nothing to do. + """ + by_subagent = dependencies.get("user_allowlist_by_subagent") or {} + existing = by_subagent.get(NAME) + if not isinstance(existing, Ruleset) or not existing.rules: + return dependencies + + trusted_names = {r.permission for r in existing.rules if r.action == "allow"} + alias_rules: list[Rule] = [] + for tool in tools: + meta = getattr(tool, "metadata", None) or {} + if not meta.get("mcp_collision_prefixed"): + continue + original = meta.get("mcp_original_tool_name") + if original in trusted_names and tool.name not in trusted_names: + alias_rules.append(Rule(permission=tool.name, pattern="*", action="allow")) + + if not alias_rules: + return dependencies + + merged = Ruleset( + origin=existing.origin, + rules=[*existing.rules, *alias_rules], + ) + return { + **dependencies, + "user_allowlist_by_subagent": {**by_subagent, NAME: merged}, + } + + +def build_subagent( + *, + dependencies: dict[str, Any], + model: BaseChatModel | None = None, + middleware_stack: dict[str, Any] | None = None, + mcp_tools: list[BaseTool] | None = None, +) -> SurfSenseSubagentSpec: + tools = load_tools(dependencies=dependencies, mcp_tools=mcp_tools) + ruleset = build_ruleset(tools) + dependencies = _augment_allowlist_for_collision_prefixes(dependencies, tools) + description = ( + read_md_file(__package__, "description").strip() + or "Acts on the user's connected apps (Slack, Jira, Notion, Gmail, ...) via MCP." + ) + system_prompt = read_md_file(__package__, "system_prompt").strip() + return pack_subagent( + name=NAME, + description=description, + system_prompt=system_prompt, + tools=tools, + ruleset=ruleset, + dependencies=dependencies, + model=model, + middleware_stack=middleware_stack, + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/description.md new file mode 100644 index 000000000..7ed0d4e5b --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/description.md @@ -0,0 +1,2 @@ +Connected-apps specialist: acts on the user's connected third-party services through MCP and native integrations — Slack, Jira, Confluence, Linear, ClickUp, Airtable, Notion, Gmail, Google Calendar, and any generic MCP server the user has added. Searches, reads, creates, and updates records in those services (send/read email, manage calendar events, search issues/pages/messages, create or edit issues and pages, query bases, etc.), asking for confirmation before write actions. +Use whenever the task is to look something up in, or take an action on, one of the user's connected apps: "search my Slack for X", "create a Jira issue", "what's on my calendar", "draft an email to Y", "find the Notion page about Z", "update the Linear issue". Call `get_connected_accounts` first when it's unclear which account or workspace to act on, or which apps are even connected. Not for reading the user's own uploaded files or notes (use the knowledge base specialist), general web pages (web crawler), or platform scrapers like Reddit/YouTube. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/system_prompt.md new file mode 100644 index 000000000..e58bee30d --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/system_prompt.md @@ -0,0 +1,67 @@ +You are the SurfSense connected-apps specialist. +You act on the user's connected third-party services (Slack, Jira, Confluence, Linear, ClickUp, Airtable, Notion, Gmail, Google Calendar, and any generic MCP servers) on behalf of a supervisor agent, and return structured results for supervisor synthesis. + + +Complete the delegated task against the user's connected apps using only the tools present in your runtime tool list, discovering any identifier or scope the request leaves unspecified before acting. + + + +Your available tools are injected at runtime from whatever apps the user has connected — the set changes per user, so read the tool list and each tool's description rather than assuming a fixed roster. Tools are grouped by app; a tool's description names its MCP server or account. + +- `get_connected_accounts`: lists the user's connected apps and account metadata (workspace/team/site names, ids). Read-only. Call it first whenever it is unclear which apps are connected, or which account/workspace/site an action should target. +- Tool names are normally the app's native tool names (e.g. `searchJiraIssuesUsingJql`, `create-pages`, `send_gmail_email`). When the same tool name exists on more than one connected app, the colliding tools are disambiguated with a `{app}_{id}_` prefix and their descriptions carry an `[Account: ...]` or `[MCP server: ...]` tag — pick the one whose tag matches the intended account. + + + +1. Read the supervisor's request and your runtime tool list. Identify which tools are discovery (list/get/search) and which are mutations (create/update/send/delete) from their descriptions. +2. If the request does not pin down the target app, account, or scope, call `get_connected_accounts` (and discovery tools) to resolve it instead of asking the supervisor. +3. Run the minimum discovery chain needed to resolve identifiers, then perform the requested action. + + + +Proactively look up any identifier, name, value, or scope the request leaves unspecified — target ids, workspace/team/site ids, user ids, page/issue ids, channel names — using discovery tools rather than asking the supervisor. Most requests reference targets by title or paraphrase, not by id. Search for them. + +When discovery for a single slot returns multiple plausible candidates and you cannot confidently pick one, return `status=blocked` with up to 5 options in `evidence.matched_candidates` and the unresolved slot in `missing_fields`. When discovery returns zero matches for a required slot, return `status=blocked` with a `next_step` suggesting alternative filters. + + + +- Resolve every required id via discovery before calling a mutation tool. Chain discovery calls when a mutation has dependencies (e.g. resolve the site/team before creating within it). +- Never invent ids, names, or mutation outcomes. Every field in `evidence` must come from a tool result. +- Write tools ask the user for approval before running. If a mutation is approval-rejected (HITL), return `status=blocked` with `next_step="user declined; do not retry"`. +- One operation per delegation. For multi-mutation requests, complete the highest-priority one and return `status=partial` with the remainder in `next_step`. + + + +- Use only tools present in your runtime tool list. If no connected app can serve the request, return `status=blocked` explaining which app the user would need to connect. +- Report only results present in tool output. Never fabricate records, ids, or messages. + + + +- Underspecified request with no resolvable target: return `status=blocked` with the missing fields. +- Tool failure: return `status=error` with the underlying message in `action_summary` and a concise recovery in `next_step`. +- No useful evidence after reasonable narrowing: return `status=blocked` with filter suggestions. + + + +Return **only** one JSON object (no markdown, no prose): +{ + "status": "success" | "partial" | "blocked" | "error", + "action_summary": string, + "evidence": { + "findings": string[], + "sources": string[], + "matched_candidates": [ + { "id": string, "label": string } + ] | null, + "confidence": "high" | "medium" | "low" + }, + "next_step": string | null, + "missing_fields": string[] | null, + "assumptions": string[] | null +} + +Route-specific rules: +- `evidence.findings`: max 10 entries, each a single sentence stating one distinct record, message, or action result. Do not paste raw payloads. +- `evidence.sources`: app URLs or identifiers backing the findings, one per finding when applicable. +- For blocked ambiguity, populate `evidence.matched_candidates` with up to 5 options (`id` + `label`). + diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/__init__.py new file mode 100644 index 000000000..5e79022be --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/__init__.py @@ -0,0 +1,2 @@ +"""``mcp_discovery`` subagent tools: interim native Gmail/Calendar, the +``get_connected_accounts`` helper, and MCP tools injected at runtime.""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/__init__.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/create_event.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/create_event.py similarity index 97% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/create_event.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/create_event.py index 91a50b3cc..a4286e1cb 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/create_event.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/create_event.py @@ -18,7 +18,7 @@ logger = logging.getLogger(__name__) def create_create_calendar_event_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -62,7 +62,7 @@ def create_create_calendar_event_tool( f"create_calendar_event called: summary='{summary}', start='{start_datetime}', end='{end_datetime}'" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Google Calendar tool not properly configured. Please contact support.", @@ -70,9 +70,7 @@ def create_create_calendar_event_tool( try: metadata_service = GoogleCalendarToolMetadataService(db_session) - context = await metadata_service.get_creation_context( - search_space_id, user_id - ) + context = await metadata_service.get_creation_context(workspace_id, user_id) if "error" in context: logger.error(f"Failed to fetch creation context: {context['error']}") @@ -138,7 +136,7 @@ def create_create_calendar_event_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_calendar_types), ) @@ -153,7 +151,7 @@ def create_create_calendar_event_tool( else: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_calendar_types), ) @@ -318,7 +316,7 @@ def create_create_calendar_event_tool( html_link=created.get("htmlLink"), description=final_description, connector_id=actual_connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) if kb_result["status"] == "success": diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/delete_event.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/delete_event.py similarity index 98% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/delete_event.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/delete_event.py index 7682dae33..ac5e2374b 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/delete_event.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/delete_event.py @@ -18,7 +18,7 @@ logger = logging.getLogger(__name__) def create_delete_calendar_event_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -56,7 +56,7 @@ def create_delete_calendar_event_tool( f"delete_calendar_event called: event_ref='{event_title_or_id}', delete_from_kb={delete_from_kb}" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Google Calendar tool not properly configured. Please contact support.", @@ -65,7 +65,7 @@ def create_delete_calendar_event_tool( try: metadata_service = GoogleCalendarToolMetadataService(db_session) context = await metadata_service.get_deletion_context( - search_space_id, user_id, event_title_or_id + workspace_id, user_id, event_title_or_id ) if "error" in context: @@ -143,7 +143,7 @@ def create_delete_calendar_event_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_calendar_types), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/index.py similarity index 95% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/index.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/index.py index b087105d4..2d7f38d50 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/index.py @@ -28,7 +28,7 @@ def load_tools( d = {**(dependencies or {}), **kwargs} common = { "db_session": d["db_session"], - "search_space_id": d["search_space_id"], + "workspace_id": d["workspace_id"], "user_id": d["user_id"], } return [ diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/search_events.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/search_events.py similarity index 96% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/search_events.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/search_events.py index cf9a015cf..7439b2694 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/search_events.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/search_events.py @@ -28,7 +28,7 @@ def _to_calendar_boundary(value: str, *, is_end: bool) -> str: def create_search_calendar_events_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -48,7 +48,7 @@ def create_search_calendar_events_tool( Dictionary with status and a list of events including event_id, summary, start, end, location, attendees. """ - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Calendar tool not properly configured.", @@ -59,7 +59,7 @@ def create_search_calendar_events_tool( try: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_CALENDAR_TYPES), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/update_event.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/update_event.py similarity index 98% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/update_event.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/update_event.py index 78d3b147b..0ef5be996 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/tools/update_event.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/calendar/update_event.py @@ -32,7 +32,7 @@ def _build_time_body(value: str, context: dict[str, Any] | Any) -> dict[str, str def create_update_calendar_event_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -76,7 +76,7 @@ def create_update_calendar_event_tool( """ logger.info(f"update_calendar_event called: event_ref='{event_title_or_id}'") - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Google Calendar tool not properly configured. Please contact support.", @@ -85,7 +85,7 @@ def create_update_calendar_event_tool( try: metadata_service = GoogleCalendarToolMetadataService(db_session) context = await metadata_service.get_update_context( - search_space_id, user_id, event_title_or_id + workspace_id, user_id, event_title_or_id ) if "error" in context: @@ -176,7 +176,7 @@ def create_update_calendar_event_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_calendar_types), ) @@ -363,7 +363,7 @@ def create_update_calendar_event_tool( document_id=document_id, event_id=final_event_id, connector_id=actual_connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) if kb_result["status"] == "success": diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/get_connected_accounts.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/get_connected_accounts.py new file mode 100644 index 000000000..292530229 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/get_connected_accounts.py @@ -0,0 +1,99 @@ +"""``get_connected_accounts`` — list the workspace's MCP-capable connectors. + +Read-only helper the connected-apps subagent calls to discover which apps +are connected and to disambiguate multi-account / multi-site scenarios. Only +the whitelisted ``MCPServiceConfig.account_metadata_keys`` (plus +``display_name``) are exposed to the LLM — tokens, secrets, and raw +``server_config`` are never returned. +""" + +from __future__ import annotations + +import json +import logging + +from langchain_core.tools import BaseTool, StructuredTool +from sqlalchemy import select + +from app.services.mcp_oauth.registry import get_service_by_connector_type + +logger = logging.getLogger(__name__) + +_GENERIC_MCP_CONNECTOR_TYPE = "MCP_CONNECTOR" + +_TOOL_DESCRIPTION = ( + "List the user's connected apps (Slack, Jira, Confluence, Linear, " + "ClickUp, Airtable, Notion, Gmail, Google Calendar, and generic MCP " + "servers) with their account/workspace/site metadata. Use this to find " + "out which apps are connected and to pick the right account, workspace, " + "or site before acting when more than one could match. Read-only." +) + + +def _connector_type_value(connector_type: object) -> str: + return ( + connector_type.value + if hasattr(connector_type, "value") + else str(connector_type) + ) + + +def create_get_connected_accounts_tool(*, workspace_id: int) -> BaseTool: + """Factory for the read-only ``get_connected_accounts`` tool.""" + _workspace_id = workspace_id + + async def _impl() -> str: + # Open a fresh session inside the closure: the factory-time session may + # be closed by the time the LLM calls this tool. + from app.db import SearchSourceConnector, async_session_maker + + accounts: list[dict[str, object]] = [] + try: + async with async_session_maker() as session: + result = await session.execute( + select(SearchSourceConnector).where( + SearchSourceConnector.workspace_id == _workspace_id, + ) + ) + connectors = list(result.scalars()) + except Exception: + logger.exception("get_connected_accounts: connector query failed") + return json.dumps({"accounts": [], "error": "query_failed"}) + + for connector in connectors: + ct = _connector_type_value(connector.connector_type) + svc = get_service_by_connector_type(ct) + is_generic = ct == _GENERIC_MCP_CONNECTOR_TYPE + if svc is None and not is_generic: + continue # not an MCP-capable / connected-app connector + + cfg = connector.config if isinstance(connector.config, dict) else {} + metadata_keys = list(svc.account_metadata_keys) if svc else [] + account_meta: dict[str, object] = { + key: cfg[key] for key in metadata_keys if cfg.get(key) is not None + } + display_name = cfg.get("display_name") + if display_name and "display_name" not in account_meta: + account_meta["display_name"] = display_name + + accounts.append( + { + "connector_id": connector.id, + "name": connector.name, + "connector_type": ct, + "app": svc.name if svc else "Custom MCP server", + # ``server_config`` presence == the connector produces agent + # tools. Native rows without it are connected for indexing + # only and need a reconnect via MCP. + "usable_in_chat": isinstance(cfg, dict) and "server_config" in cfg, + "account": account_meta, + } + ) + + return json.dumps({"accounts": accounts}) + + return StructuredTool.from_function( + name="get_connected_accounts", + description=_TOOL_DESCRIPTION, + coroutine=_impl, + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/__init__.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/_helpers.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/_helpers.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/_helpers.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/_helpers.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/create_draft.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/create_draft.py similarity index 97% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/create_draft.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/create_draft.py index 3f25305c5..e736607e5 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/create_draft.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/create_draft.py @@ -18,7 +18,7 @@ logger = logging.getLogger(__name__) def create_create_gmail_draft_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -59,7 +59,7 @@ def create_create_gmail_draft_tool( """ logger.info(f"create_gmail_draft called: to='{to}', subject='{subject}'") - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Gmail tool not properly configured. Please contact support.", @@ -67,9 +67,7 @@ def create_create_gmail_draft_tool( try: metadata_service = GmailToolMetadataService(db_session) - context = await metadata_service.get_creation_context( - search_space_id, user_id - ) + context = await metadata_service.get_creation_context(workspace_id, user_id) if "error" in context: logger.error(f"Failed to fetch creation context: {context['error']}") @@ -127,7 +125,7 @@ def create_create_gmail_draft_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_gmail_types), ) @@ -142,7 +140,7 @@ def create_create_gmail_draft_tool( else: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_gmail_types), ) @@ -307,7 +305,7 @@ def create_create_gmail_draft_tool( date_str=datetime.now().strftime("%Y-%m-%d %H:%M:%S"), body_text=final_body, connector_id=actual_connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, draft_id=created.get("id"), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/index.py similarity index 96% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/index.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/index.py index 60405dcf7..31459bdff 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/index.py @@ -29,7 +29,7 @@ def load_tools( d = {**(dependencies or {}), **kwargs} common = { "db_session": d["db_session"], - "search_space_id": d["search_space_id"], + "workspace_id": d["workspace_id"], "user_id": d["user_id"], } return [ diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/read_email.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/read_email.py similarity index 96% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/read_email.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/read_email.py index 10c64c6c5..e1162edef 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/read_email.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/read_email.py @@ -17,7 +17,7 @@ _GMAIL_TYPES = [ def create_read_gmail_email_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -32,13 +32,13 @@ def create_read_gmail_email_tool( Returns: Dictionary with status and the full email content formatted as markdown. """ - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return {"status": "error", "message": "Gmail tool not properly configured."} try: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_GMAIL_TYPES), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/search_emails.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/search_emails.py similarity index 96% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/search_emails.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/search_emails.py index 2c633d629..2ed04a26e 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/search_emails.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/search_emails.py @@ -17,7 +17,7 @@ _GMAIL_TYPES = [ def create_search_gmail_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -38,7 +38,7 @@ def create_search_gmail_tool( Dictionary with status and a list of email summaries including message_id, subject, from, date, snippet. """ - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return {"status": "error", "message": "Gmail tool not properly configured."} max_results = min(max_results, 20) @@ -46,7 +46,7 @@ def create_search_gmail_tool( try: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_GMAIL_TYPES), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/send_email.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/send_email.py similarity index 97% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/send_email.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/send_email.py index 3431a2bc3..d3c4b64bb 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/send_email.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/send_email.py @@ -22,7 +22,7 @@ logger = logging.getLogger(__name__) def create_send_gmail_email_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -86,7 +86,7 @@ def create_send_gmail_email_tool( tool_call_id=runtime.tool_call_id, ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: msg = "Gmail tool not properly configured. Please contact support." return _emit( {"status": "error", "message": msg}, @@ -96,9 +96,7 @@ def create_send_gmail_email_tool( try: metadata_service = GmailToolMetadataService(db_session) - context = await metadata_service.get_creation_context( - search_space_id, user_id - ) + context = await metadata_service.get_creation_context(workspace_id, user_id) if "error" in context: logger.error(f"Failed to fetch creation context: {context['error']}") @@ -168,7 +166,7 @@ def create_send_gmail_email_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_gmail_types), ) @@ -187,7 +185,7 @@ def create_send_gmail_email_tool( else: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_gmail_types), ) @@ -355,7 +353,7 @@ def create_send_gmail_email_tool( date_str=datetime.now().strftime("%Y-%m-%d %H:%M:%S"), body_text=final_body, connector_id=actual_connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) if kb_result["status"] == "success": diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/trash_email.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/trash_email.py similarity index 98% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/trash_email.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/trash_email.py index ef5882074..2302492a9 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/trash_email.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/trash_email.py @@ -16,7 +16,7 @@ logger = logging.getLogger(__name__) def create_trash_gmail_email_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -57,7 +57,7 @@ def create_trash_gmail_email_tool( f"trash_gmail_email called: email_subject_or_id='{email_subject_or_id}', delete_from_kb={delete_from_kb}" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Gmail tool not properly configured. Please contact support.", @@ -66,7 +66,7 @@ def create_trash_gmail_email_tool( try: metadata_service = GmailToolMetadataService(db_session) context = await metadata_service.get_trash_context( - search_space_id, user_id, email_subject_or_id + workspace_id, user_id, email_subject_or_id ) if "error" in context: @@ -144,7 +144,7 @@ def create_trash_gmail_email_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_gmail_types), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/update_draft.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/update_draft.py similarity index 98% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/update_draft.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/update_draft.py index ef7839a1a..1db35883a 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/tools/update_draft.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/gmail/update_draft.py @@ -18,7 +18,7 @@ logger = logging.getLogger(__name__) def create_update_gmail_draft_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -78,7 +78,7 @@ def create_update_gmail_draft_tool( f"update_gmail_draft called: draft_subject_or_id='{draft_subject_or_id}'" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Gmail tool not properly configured. Please contact support.", @@ -87,7 +87,7 @@ def create_update_gmail_draft_tool( try: metadata_service = GmailToolMetadataService(db_session) context = await metadata_service.get_update_context( - search_space_id, user_id, draft_subject_or_id + workspace_id, user_id, draft_subject_or_id ) if "error" in context: @@ -174,7 +174,7 @@ def create_update_gmail_draft_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_gmail_types), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/index.py new file mode 100644 index 000000000..1a9b6fcf9 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/mcp_discovery/tools/index.py @@ -0,0 +1,89 @@ +"""``mcp_discovery`` tools + metadata-derived permission ruleset. + +Assembles the connected-apps toolset from three sources: + +1. **Interim native tools** — Gmail + Calendar factories (kept until Google + Workspace MCP is GA). Loaded only when a matching connector row exists. + They self-gate writes via ``request_approval`` in their bodies, so they + get no ruleset entries. +2. **``get_connected_accounts``** — read-only discovery helper. +3. **MCP tools** — injected at runtime by the factory (already + collision-resolved). Loaded with ``bypass_internal_hitl=True``, so their + *only* gate is this subagent's :class:`PermissionMiddleware`; the ruleset + is derived from each tool's ``metadata['hitl']`` flag. +""" + +from __future__ import annotations + +from typing import Any + +from langchain_core.tools import BaseTool + +from app.agents.chat.multi_agent_chat.shared.permissions import Rule, Ruleset + +from .calendar.index import load_tools as load_calendar_tools +from .get_connected_accounts import create_get_connected_accounts_tool +from .gmail.index import load_tools as load_gmail_tools + +NAME = "mcp_discovery" + +# Searchable-token gate for each interim native app (Composio types map to +# these same tokens in connector_searchable_types). +_GMAIL_TOKEN = "GOOGLE_GMAIL_CONNECTOR" +_CALENDAR_TOKEN = "GOOGLE_CALENDAR_CONNECTOR" + + +def _interim_native_tools(dependencies: dict[str, Any]) -> list[BaseTool]: + """Gmail/Calendar native tools, loaded only for connected accounts.""" + available = set(dependencies.get("available_connectors") or []) + if not available & {_GMAIL_TOKEN, _CALENDAR_TOKEN}: + return [] + # These factories require an authenticated user + db session. + if not dependencies.get("db_session") or not dependencies.get("user_id"): + return [] + + tools: list[BaseTool] = [] + if _GMAIL_TOKEN in available: + tools.extend(load_gmail_tools(dependencies=dependencies)) + if _CALENDAR_TOKEN in available: + tools.extend(load_calendar_tools(dependencies=dependencies)) + return tools + + +def load_tools( + *, + dependencies: dict[str, Any] | None = None, + mcp_tools: list[BaseTool] | None = None, + **kwargs: Any, +) -> list[BaseTool]: + """Interim native tools + ``get_connected_accounts`` + injected MCP tools.""" + d = {**(dependencies or {}), **kwargs} + return [ + *_interim_native_tools(d), + create_get_connected_accounts_tool(workspace_id=d["workspace_id"]), + *(mcp_tools or []), + ] + + +def _is_mcp_tool(tool: BaseTool) -> bool: + meta = getattr(tool, "metadata", None) or {} + return "mcp_transport" in meta + + +def build_ruleset(tools: list[BaseTool]) -> Ruleset: + """Derive the approval ruleset from tool metadata. + + Only MCP tools get rules: read-only ones (``metadata['hitl'] is False``) + are ``allow``, every other MCP tool is ``ask``. Native interim tools and + ``get_connected_accounts`` carry no rules and fall through to the + ``allow */*`` default (Gmail/Calendar self-gate writes internally; + ``get_connected_accounts`` is read-only). + """ + rules: list[Rule] = [] + for tool in tools: + if not _is_mcp_tool(tool): + continue + meta = getattr(tool, "metadata", None) or {} + action = "allow" if meta.get("hitl") is False else "ask" + rules.append(Rule(permission=tool.name, pattern="*", action=action)) + return Ruleset(origin=NAME, rules=rules) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/system_prompt.md index b656c5019..5697b1a61 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/system_prompt.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/system_prompt.md @@ -6,7 +6,7 @@ Persist durable preferences/facts/instructions with `update_memory` while avoidi -Memory is search-space-scoped; do not assume cross-workspace visibility. +Memory is workspace-scoped; do not assume cross-workspace visibility. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/tools/index.py index 0afce9dec..e2feee478 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/tools/index.py @@ -23,7 +23,7 @@ def load_tools( if d.get("thread_visibility") == ChatVisibility.SEARCH_SPACE: return [ create_update_team_memory_tool( - search_space_id=d["search_space_id"], + workspace_id=d["workspace_id"], db_session=d["db_session"], llm=d.get("llm"), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/tools/update_memory.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/tools/update_memory.py index 67bcc3e06..3361f13ae 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/tools/update_memory.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/memory/tools/update_memory.py @@ -51,13 +51,13 @@ def create_update_memory_tool( def create_update_team_memory_tool( - search_space_id: int, + workspace_id: int, db_session: AsyncSession, llm: Any | None = None, ): @tool async def update_memory(updated_memory: str) -> dict[str, Any]: - """Update the team's shared memory document for this search space. + """Update the team's shared memory document for this workspace. The current team memory is shown in . Pass the FULL updated markdown document, not a diff. @@ -65,7 +65,7 @@ def create_update_team_memory_tool( try: result = await save_memory( scope=MemoryScope.TEAM, - target_id=search_space_id, + target_id=workspace_id, content=updated_memory, session=db_session, llm=llm, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/__init__.py new file mode 100644 index 000000000..e2d07efdb --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/__init__.py @@ -0,0 +1 @@ +"""``reddit`` builtin subagent: structured Reddit posts, comments, and users.""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/agent.py similarity index 79% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/agent.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/agent.py index ab927654b..e5d2de522 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/agent.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/agent.py @@ -1,9 +1,4 @@ -"""``teams`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools self-gate inside their bodies via :func:`request_approval`; the -empty :data:`tools.index.RULESET` is layered into a per-subagent -:class:`PermissionMiddleware` for uniformity. -""" +"""``reddit`` route: ``SurfSenseSubagentSpec`` builder for deepagents.""" from __future__ import annotations @@ -33,7 +28,7 @@ def build_subagent( tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] description = ( read_md_file(__package__, "description").strip() - or "Handles teams tasks for this workspace." + or "Pulls structured data from Reddit posts, comments, subreddits, and users." ) system_prompt = read_md_file(__package__, "system_prompt").strip() return pack_subagent( diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/description.md new file mode 100644 index 000000000..460d4ae13 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/description.md @@ -0,0 +1,2 @@ +Reddit specialist: pulls structured Reddit data — posts (title, body, score, upvote ratio, comment count, subreddit, author, flair, timestamps), their comment threads, and community/user metadata. Discovers posts by search query (optionally scoped to a single subreddit), or scrapes a known post, subreddit, or user URL as-is, with sort (hot/top/new/rising) and time-window controls. Also compares fresh Reddit results against earlier findings in this chat. +Use whenever the task is to find what people say on Reddit about a topic, gather posts/comments from a subreddit or user, discover discussion threads, or read community sentiment. Triggers include "search Reddit for X", "what does r/X say about Y", "find Reddit posts/threads about X", "top posts in r/X", and comparisons against earlier Reddit results in this chat. Not for general web pages (use the web crawling specialist), Google results (use the Google Search specialist), or YouTube (use the YouTube specialist). diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/system_prompt.md new file mode 100644 index 000000000..d1992582b --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/system_prompt.md @@ -0,0 +1,67 @@ +You are the SurfSense Reddit sub-agent. +You receive delegated instructions from a supervisor agent and return structured results for supervisor synthesis. + + +Answer the delegated question from live Reddit data gathered with your verb, comparing against earlier results already in this conversation when the task calls for it. + + + +- `reddit_scrape` +- `read_run` / `search_run` (free readers for stored scrape output) + + + +- Finding discussion on a topic: call `reddit_scrape` with `search_queries`; set `community` to scope the search to one subreddit (e.g. "python"). +- Scraping a subreddit's listing: pass `community` with no `search_queries`, and tune `sort` (hot/top/new/rising) and `time_filter` for top/controversial. +- Scraping a specific post, subreddit, or user: pass its Reddit URL in `urls`. +- Reading comment sentiment: keep `skip_comments` false and raise `max_comments`; set `skip_comments` true when you only need posts (faster). +- Controlling volume: use `max_items` for the total cap, `max_posts` per target, `max_comments` per post. +- Requested counts: `max_items` defaults to only 10 — when the task asks for N posts, set `max_items` and `max_posts` above N (with headroom for off-topic hits) and set `skip_comments=true` unless comments are needed. A call that caps below the target can never satisfy it. +- Topical discovery ("posts asking for X"): use broad unquoted queries and several phrasings (e.g. "X alternative", "alternative to X", "app like X") with `sort=relevance`; quoted exact phrases and `sort=new` are precision tools that miss most matches. +- Under-delivery: if the first call returns fewer on-topic results than requested, broaden it yourself — more phrasings, `sort=relevance`, wider or no time window — before settling. Return `status=partial` only after the broadened attempt, never after a single narrow call. +- Batch multiple search terms into one call rather than many single-term calls. + +- Comparison requests: pull the current results, compare against prior values already in this conversation's earlier tool results, and report concrete deltas (added, removed, score/rank changes). + + + +- Use only tools in ``. +- Report only results present in the tool output. Never invent titles, URLs, scores, authors, or comment text. + + + +- Do not read arbitrary web pages — that belongs to the web crawling specialist. +- Do not generate deliverables or perform connector mutations; return findings for the supervisor to act on. +- Google results belong to the Google Search specialist; YouTube belongs to the YouTube specialist. + + + +- Report uncertainty explicitly when evidence is incomplete or conflicting. +- Never present unverified claims as facts. + + + +- Underspecified request — no usable query, community, or URL — return `status=blocked` with the missing fields. +- Tool failure: return `status=error` with a concise recovery `next_step`. +- No useful evidence: return `status=blocked` with a narrower query or the scope you still need. + + + +Return **only** one JSON object (no markdown/prose): +{ + "status": "success" | "partial" | "blocked" | "error", + "action_summary": string, + "evidence": { + "findings": string[], + "sources": string[], + "confidence": "high" | "medium" | "low" + }, + "next_step": string | null, + "missing_fields": string[] | null, + "assumptions": string[] | null +} + +Route-specific rules: +- `evidence.findings`: one entry per distinct post, comment, or delta — a single sentence each; do not paste raw payloads. Max 10 entries, unless the delegated task asks for N items: then return up to N (each backed by a real scraped result, never padded). +- `evidence.sources`: one Reddit URL per finding when applicable, same cap as findings. List each URL once. + diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/tools/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/__init__.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/tools/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/tools/index.py new file mode 100644 index 000000000..d1ef1f3d1 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/reddit/tools/index.py @@ -0,0 +1,27 @@ +"""``reddit`` sub-agent tools: the Reddit scrape capability verb.""" + +from __future__ import annotations + +from typing import Any + +from langchain_core.tools import BaseTool + +from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset +from app.capabilities.core.access.agent import build_capability_tools +from app.capabilities.reddit.scrape.definition import REDDIT_SCRAPE + +NAME = "reddit" + +RULESET = Ruleset(origin=NAME, rules=[]) + +_CI_VERBS = [REDDIT_SCRAPE] + + +def load_tools( + *, dependencies: dict[str, Any] | None = None, **kwargs: Any +) -> list[BaseTool]: + d = {**(dependencies or {}), **kwargs} + return build_capability_tools( + workspace_id=d.get("workspace_id"), + capabilities=_CI_VERBS, + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/agent.py deleted file mode 100644 index e3c0ab9ae..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/agent.py +++ /dev/null @@ -1,52 +0,0 @@ -"""``research`` route: ``SurfSenseSubagentSpec`` builder for deepagents.""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.shared.middleware.citation_state import ( - build_citation_state_mw, -) -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET, load_tools - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] - description = ( - read_md_file(__package__, "description").strip() - or "Handles research tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - # web_search registers WEB_RESULT citations via Command(update=...); the - # citation-state middleware declares the channel so those [n] merge back up. - middleware_with_citations = { - **(middleware_stack or {}), - "citation_state": build_citation_state_mw(), - } - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=tools, - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_with_citations, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/description.md deleted file mode 100644 index 0a99b4140..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for external research. -Use whenever a task requires finding sources on the web and extracting evidence to answer documentation questions. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/system_prompt.md deleted file mode 100644 index 3d90a4352..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/system_prompt.md +++ /dev/null @@ -1,62 +0,0 @@ -You are the SurfSense research operations sub-agent. -You receive delegated instructions from a supervisor agent and return structured results for supervisor synthesis. - - -Gather and synthesize evidence using SurfSense research tools with clear citations and uncertainty reporting. - - - -- `web_search` -- `scrape_webpage` - - - -- Use only tools in ``. -- Prefer primary and recent sources when recency matters. -- If the delegated request is underspecified, return `status=blocked` with the missing research constraints. -- Never fabricate facts, citations, URLs, or quote text. - - - -`web_search` returns a `` block whose results are each prefixed with a bracketed label — `[1]`, `[2]`, `[3]`. That `[n]` is the citation label. When a finding came from a specific result, append its `[n]` to that finding, copying the label **exactly** as shown. The caller relays these labels verbatim and the server resolves each one, so a wrong number silently breaks the citation. - -- Use the exact `[n]` shown next to the result you actually used; never renumber, guess, or invent a label. -- Before emitting an `[n]`, confirm that bracketed label appears in the `web_search` output this turn. If you can't see it, omit it. -- Write the bare label `[n]` only — no `[citation:…]` wrapper, no markdown links. -- Several results behind one finding → each in its own brackets with nothing between: `[1][2]`. -- `scrape_webpage` returns raw page text with no `[n]` labels; a fact drawn only from a scrape carries no citation (report the URL in `evidence.sources` instead). - - - -- Do not execute connector mutations (email/calendar/docs/chat writes) or deliverable generation. - - - -- Report uncertainty explicitly when evidence is incomplete or conflicting. -- Never present unverified claims as facts. - - - -- On tool failure, return `status=error` with a concise recovery `next_step`. -- On no useful evidence, return `status=blocked` with recommended narrower filters. - - - -Return **only** one JSON object (no markdown/prose): -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "findings": string[], - "sources": string[], - "confidence": "high" | "medium" | "low" - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} - -Route-specific rules: -- `evidence.findings`: max 10 entries, each a single sentence stating one distinct fact. Append the supporting `[n]` to each finding drawn from a `web_search` result. Do not paste raw paragraphs, scraped pages, or quote blocks. -- `evidence.sources`: max 10 URLs, one per finding when applicable. List each URL once. (Citations travel as `[n]`; `sources` is for transparency and for scrape-only facts that carry no `[n]`.) - diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/__init__.py deleted file mode 100644 index 0c99bf222..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/__init__.py +++ /dev/null @@ -1,10 +0,0 @@ -"""Research-stage tools: web search (shared) and scrape.""" - -from app.agents.chat.shared.tools.web_search import create_web_search_tool - -from .scrape_webpage import create_scrape_webpage_tool - -__all__ = [ - "create_scrape_webpage_tool", - "create_web_search_tool", -] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/index.py deleted file mode 100644 index 5fc2b5699..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/index.py +++ /dev/null @@ -1,29 +0,0 @@ -"""``research`` native tools and (empty) permission ruleset.""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset -from app.agents.chat.shared.tools.web_search import create_web_search_tool - -from .scrape_webpage import create_scrape_webpage_tool - -NAME = "research" - -RULESET = Ruleset(origin=NAME, rules=[]) - - -def load_tools( - *, dependencies: dict[str, Any] | None = None, **kwargs: Any -) -> list[BaseTool]: - d = {**(dependencies or {}), **kwargs} - return [ - create_web_search_tool( - search_space_id=d.get("search_space_id"), - available_connectors=d.get("available_connectors"), - ), - create_scrape_webpage_tool(firecrawl_api_key=d.get("firecrawl_api_key")), - ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/scrape_webpage.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/scrape_webpage.py deleted file mode 100644 index f367d7b57..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/research/tools/scrape_webpage.py +++ /dev/null @@ -1,297 +0,0 @@ -"""Scrape pages via WebCrawlerConnector; YouTube URLs use the transcript API instead of HTML crawl.""" - -import hashlib -import logging -import time -from typing import Any -from urllib.parse import urlparse - -from fake_useragent import UserAgent -from langchain_core.tools import tool -from requests import Session -from scrapling.fetchers import AsyncFetcher -from youtube_transcript_api import YouTubeTranscriptApi - -from app.connectors.webcrawler_connector import WebCrawlerConnector -from app.tasks.document_processors.youtube_processor import get_youtube_video_id -from app.utils.proxy import get_proxy_url, get_requests_proxies - -logger = logging.getLogger(__name__) - - -def extract_domain(url: str) -> str: - """Extract the domain from a URL.""" - try: - parsed = urlparse(url) - domain = parsed.netloc - if domain.startswith("www."): - domain = domain[4:] - return domain - except Exception: - return "" - - -def generate_scrape_id(url: str) -> str: - """Generate a unique ID for a scraped webpage.""" - hash_val = hashlib.md5(url.encode()).hexdigest()[:12] - return f"scrape-{hash_val}" - - -def truncate_content(content: str, max_length: int = 50000) -> tuple[str, bool]: - """ - Truncate content to a maximum length. - - Returns: - Tuple of (truncated_content, was_truncated) - """ - if len(content) <= max_length: - return content, False - - # Prefer truncating at a sentence/paragraph boundary. - truncated = content[:max_length] - last_period = truncated.rfind(".") - last_newline = truncated.rfind("\n\n") - - boundary = max(last_period, last_newline) - if boundary > max_length * 0.8: # only if the boundary isn't too far back - truncated = content[: boundary + 1] - - return truncated + "\n\n[Content truncated...]", True - - -async def _scrape_youtube_video( - url: str, video_id: str, max_length: int -) -> dict[str, Any]: - """ - Fetch YouTube video metadata and transcript via the YouTubeTranscriptApi. - - Returns a result dict in the same shape as the regular scrape_webpage output. - """ - scrape_id = generate_scrape_id(url) - domain = "youtube.com" - - # --- Video metadata via oEmbed --- - residential_proxies = get_requests_proxies() - - params = { - "format": "json", - "url": f"https://www.youtube.com/watch?v={video_id}", - } - oembed_url = "https://www.youtube.com/oembed" - - try: - oembed_fetch_start = time.perf_counter() - oembed_page = await AsyncFetcher.get( - oembed_url, - params=params, - proxy=get_proxy_url(), - stealthy_headers=True, - ) - logger.info( - "[scrape_webpage][perf] source=oembed video=%s status=%s fetch_ms=%.1f", - video_id, - getattr(oembed_page, "status", None), - (time.perf_counter() - oembed_fetch_start) * 1000, - ) - video_data = oembed_page.json() - except Exception: - video_data = {} - - title = video_data.get("title", "YouTube Video") - author = video_data.get("author_name", "Unknown") - - # --- Transcript via YouTubeTranscriptApi --- - try: - transcript_fetch_start = time.perf_counter() - ua = UserAgent() - http_client = Session() - http_client.headers.update({"User-Agent": ua.random}) - if residential_proxies: - http_client.proxies.update(residential_proxies) - ytt_api = YouTubeTranscriptApi(http_client=http_client) - - # Pick the first transcript (video's primary language) rather than - # defaulting to English. - transcript_list = ytt_api.list(video_id) - transcript = next(iter(transcript_list)) - captions = transcript.fetch() - - logger.info( - "[scrape_webpage][perf] source=transcript video=%s fetch_ms=%.1f", - video_id, - (time.perf_counter() - transcript_fetch_start) * 1000, - ) - logger.info( - f"[scrape_webpage] Fetched transcript for {video_id} " - f"in {transcript.language} ({transcript.language_code})" - ) - - transcript_segments = [] - for line in captions: - start_time = line.start - duration = line.duration - text = line.text - timestamp = f"[{start_time:.2f}s-{start_time + duration:.2f}s]" - transcript_segments.append(f"{timestamp} {text}") - transcript_text = "\n".join(transcript_segments) - except Exception as e: - logger.warning(f"[scrape_webpage] No transcript for video {video_id}: {e}") - transcript_text = f"No captions available for this video. Error: {e!s}" - - content = f"# {title}\n\n**Author:** {author}\n**Video ID:** {video_id}\n\n## Transcript\n\n{transcript_text}" - - content, was_truncated = truncate_content(content, max_length) - word_count = len(content.split()) - - description = f"YouTube video by {author}" - - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": title, - "description": description, - "content": content, - "domain": domain, - "word_count": word_count, - "was_truncated": was_truncated, - "crawler_type": "youtube_transcript", - "author": author, - } - - -def create_scrape_webpage_tool(firecrawl_api_key: str | None = None): - """ - Factory function to create the scrape_webpage tool. - - Args: - firecrawl_api_key: Optional Firecrawl API key for premium web scraping. - Falls back to Chromium/Trafilatura if not provided. - - Returns: - A configured tool function for scraping webpages. - """ - - @tool - async def scrape_webpage( - url: str, - max_length: int = 50000, - ) -> dict[str, Any]: - """ - Scrape and extract the main content from a webpage. - - Use this tool when the user wants you to read, summarize, or answer - questions about a specific webpage's content. This tool actually - fetches and reads the full page content. For YouTube video URLs it - fetches the transcript directly instead of crawling the page. - - Common triggers: - - "Read this article and summarize it" - - "What does this page say about X?" - - "Summarize this blog post for me" - - "Tell me the key points from this article" - - "What's in this webpage?" - - Args: - url: The URL of the webpage to scrape (must be HTTP/HTTPS) - max_length: Maximum content length to return (default: 50000 chars) - - Returns: - A dictionary containing: - - id: Unique identifier for this scrape - - assetId: The URL (for deduplication) - - kind: "article" (type of content) - - href: The URL to open when clicked - - title: Page title - - description: Brief description or excerpt - - content: The extracted main content (markdown format) - - domain: The domain name - - word_count: Approximate word count - - was_truncated: Whether content was truncated - - error: Error message (if scraping failed) - """ - scrape_id = generate_scrape_id(url) - domain = extract_domain(url) - - if not url.startswith(("http://", "https://")): - url = f"https://{url}" - - try: - # YouTube URLs use the transcript API instead of crawling. - video_id = get_youtube_video_id(url) - if video_id: - return await _scrape_youtube_video(url, video_id, max_length) - - connector = WebCrawlerConnector(firecrawl_api_key=firecrawl_api_key) - result, error = await connector.crawl_url(url, formats=["markdown"]) - - if error: - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": domain or "Webpage", - "domain": domain, - "error": error, - } - - if not result: - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": domain or "Webpage", - "domain": domain, - "error": "No content returned from crawler", - } - - content = result.get("content", "") - metadata = result.get("metadata", {}) - - title = metadata.get("title", "") - if not title: - title = domain or url.split("/")[-1] or "Webpage" - - description = metadata.get("description", "") - if not description and content: - first_para = content.split("\n\n")[0] if content else "" - description = ( - first_para[:300] + "..." if len(first_para) > 300 else first_para - ) - - content, was_truncated = truncate_content(content, max_length) - word_count = len(content.split()) - - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": title, - "description": description, - "content": content, - "domain": domain, - "word_count": word_count, - "was_truncated": was_truncated, - "crawler_type": result.get("crawler_type", "unknown"), - "author": metadata.get("author"), - "date": metadata.get("date"), - } - - except Exception as e: - error_message = str(e) - logger.error(f"[scrape_webpage] Error scraping {url}: {error_message}") - return { - "id": scrape_id, - "assetId": url, - "kind": "article", - "href": url, - "title": domain or "Webpage", - "domain": domain, - "error": f"Failed to scrape: {error_message[:100]}", - } - - return scrape_webpage diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/__init__.py new file mode 100644 index 000000000..7b8213fb3 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/__init__.py @@ -0,0 +1 @@ +"""``web_crawler`` builtin subagent: crawl single URLs or spider whole sites.""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/agent.py similarity index 79% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/agent.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/agent.py index a4b2d61cf..49d6423dc 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/agent.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/agent.py @@ -1,9 +1,4 @@ -"""``notion`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools self-gate inside their bodies via :func:`request_approval`; the -empty :data:`tools.index.RULESET` is layered into a per-subagent -:class:`PermissionMiddleware` for uniformity. -""" +"""``web_crawler`` route: ``SurfSenseSubagentSpec`` builder for deepagents.""" from __future__ import annotations @@ -33,7 +28,7 @@ def build_subagent( tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] description = ( read_md_file(__package__, "description").strip() - or "Handles notion tasks for this workspace." + or "Crawls live public web pages and whole sites for this workspace." ) system_prompt = read_md_file(__package__, "system_prompt").strip() return pack_subagent( diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/description.md new file mode 100644 index 000000000..4e084d767 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/description.md @@ -0,0 +1,2 @@ +Web crawling specialist: fetches live public web pages by URL and can spider a whole website (follow its links to a given depth), returning clean markdown, page metadata, and crawl provenance. Also compares freshly crawled data against earlier findings in this chat. +Use whenever the task needs current content pulled from the open web rather than the workspace's own documents or connectors. Triggers include "scrape", "crawl", "fetch this URL/page", "read this website", "crawl this site", "get the pages under X", "check the price/stock/listing", and "what changed vs earlier in this chat". Not for YouTube links (use the youtube specialist) or for searching the web to discover unknown URLs. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/system_prompt.md new file mode 100644 index 000000000..59450bb05 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/system_prompt.md @@ -0,0 +1,65 @@ +You are the SurfSense web crawling sub-agent. +You receive delegated instructions from a supervisor agent and return structured results for supervisor synthesis. + + +Answer the delegated question from live web evidence gathered with `web_crawl`, comparing against earlier results already in this conversation when the task calls for it. + + + +- `web_crawl` +- `read_run` / `search_run` (free readers for stored crawl output) +- `export_run` (save a stored run's rows as a CSV file in the workspace) + + + +- Single page(s): call `web_crawl` with the URL(s) in `startUrls` and `maxCrawlDepth=0`. +- Whole site / "pages under X": set `maxCrawlDepth` to 1+ to follow links, and cap the run with `maxCrawlPages`. The crawl stays on the start URL's site. +- Batch known URLs into one `web_crawl` call (pass them all in `startUrls`) rather than many single-URL calls. +- Keep depth and page caps as small as the task allows — each fetched page is billable. + +- Rosters and listings: when a page's markdown is truncated or sparse, the item's `links` records (url, anchor text, context) usually carry the full list — read them from the stored run before re-crawling. +- Full-dataset requests ("the complete roster/list", "as a CSV/file"): never re-type hundreds of rows. Crawl, then `export_run(ref, path, rows='links', include_pattern=...)` — the rows are copied in code, byte-exact. Verify with the returned row count + preview, and report the saved path. +- Comparison requests: crawl the current values, compare against prior values already in this conversation's earlier tool results, and report concrete deltas (added, removed, old -> new). + + + +- Use only tools in ``. +- A `web_crawl` item whose `status` is not `success` returned no content — report it unavailable, never invent it. +- Report only deltas you can point to in the evidence. Never fabricate facts, URLs, prices, or quotes. + + + +- Do not generate deliverables (reports, podcasts, videos, images) or perform connector mutations; return findings for the supervisor to act on. Saving crawled data as a CSV via `export_run` is in scope. +- YouTube URLs belong to the youtube specialist, not here. + + + +- Report uncertainty explicitly when evidence is incomplete or conflicting. +- Never present unverified claims as facts. + + + +- Underspecified request — no usable URL to start from — return `status=blocked` with the missing fields. +- Tool failure: return `status=error` with a concise recovery `next_step`. +- No useful evidence: return `status=blocked` with the URLs you still need or a narrower scope. + + + +Return **only** one JSON object (no markdown/prose): +{ + "status": "success" | "partial" | "blocked" | "error", + "action_summary": string, + "evidence": { + "findings": string[], + "sources": string[], + "confidence": "high" | "medium" | "low" + }, + "next_step": string | null, + "missing_fields": string[] | null, + "assumptions": string[] | null +} + +Route-specific rules: +- `evidence.findings`: max 10 entries, each a single sentence stating one distinct fact or delta. Do not paste raw crawled pages. +- `evidence.sources`: max 10 URLs, one per finding when applicable. List each URL once. + diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/tools/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/__init__.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/tools/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/tools/index.py new file mode 100644 index 000000000..1b80acd38 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/web_crawler/tools/index.py @@ -0,0 +1,27 @@ +"""``web_crawler`` sub-agent tools: the unified web.crawl capability verb.""" + +from __future__ import annotations + +from typing import Any + +from langchain_core.tools import BaseTool + +from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset +from app.capabilities.core.access.agent import build_capability_tools +from app.capabilities.web.crawl.definition import WEB_CRAWL + +NAME = "web_crawler" + +RULESET = Ruleset(origin=NAME, rules=[]) + +_CI_VERBS = [WEB_CRAWL] + + +def load_tools( + *, dependencies: dict[str, Any] | None = None, **kwargs: Any +) -> list[BaseTool]: + d = {**(dependencies or {}), **kwargs} + return build_capability_tools( + workspace_id=d.get("workspace_id"), + capabilities=_CI_VERBS, + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/__init__.py new file mode 100644 index 000000000..2d4207834 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/__init__.py @@ -0,0 +1 @@ +"""``youtube`` builtin subagent: structured YouTube video/channel/comment data.""" diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/agent.py new file mode 100644 index 000000000..acc65bdc5 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/agent.py @@ -0,0 +1,43 @@ +"""``youtube`` route: ``SurfSenseSubagentSpec`` builder for deepagents.""" + +from __future__ import annotations + +from typing import Any + +from langchain_core.language_models import BaseChatModel +from langchain_core.tools import BaseTool + +from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( + read_md_file, +) +from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec +from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( + pack_subagent, +) + +from .tools.index import NAME, RULESET, load_tools + + +def build_subagent( + *, + dependencies: dict[str, Any], + model: BaseChatModel | None = None, + middleware_stack: dict[str, Any] | None = None, + mcp_tools: list[BaseTool] | None = None, +) -> SurfSenseSubagentSpec: + tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] + description = ( + read_md_file(__package__, "description").strip() + or "Pulls structured data from YouTube videos, channels, playlists, and comments." + ) + system_prompt = read_md_file(__package__, "system_prompt").strip() + return pack_subagent( + name=NAME, + description=description, + system_prompt=system_prompt, + tools=tools, + ruleset=RULESET, + dependencies=dependencies, + model=model, + middleware_stack=middleware_stack, + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/description.md new file mode 100644 index 000000000..bc5e96deb --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/description.md @@ -0,0 +1,2 @@ +YouTube specialist: pulls structured data from YouTube — videos, channels, playlists, shorts, and hashtags (title, views, likes, publish date, channel info, description, optional subtitles), finds videos by search query, and fetches a video's comments and replies. Also compares fresh YouTube data against earlier findings in this chat. +Use whenever the task involves YouTube content or a youtube.com/youtu.be link. Triggers include "get this YouTube video/channel/playlist", "find videos about X on YouTube", "how many views/likes", "get the transcript/subtitles", "get the comments on this video", "what are people saying about this video", and comparisons against earlier YouTube results in this chat. Not for general web pages (use the web crawling specialist for non-YouTube URLs). diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/system_prompt.md new file mode 100644 index 000000000..f93b4f49a --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/system_prompt.md @@ -0,0 +1,64 @@ +You are the SurfSense YouTube sub-agent. +You receive delegated instructions from a supervisor agent and return structured results for supervisor synthesis. + + +Answer the delegated question from live YouTube data gathered with your verbs, comparing against earlier results already in this conversation when the task calls for it. + + + +- `youtube_scrape` +- `youtube_comments` +- `read_run` / `search_run` (free readers for stored scrape output) + + + +- Known video/channel/playlist/shorts/hashtag links: call `youtube_scrape` with the links in `urls`. +- Finding videos on a topic: call `youtube_scrape` with `search_queries`. +- Comments / sentiment on specific videos: call `youtube_comments` with the video `urls`. +- Batch multiple URLs (or queries) into one call rather than many single-item calls. + +- Multi-video comment analysis: a batched comments result lists videos in order, so a truncated preview usually shows only the first video(s). Before summarizing, page the stored run (or `search_run` by video id) until you have read real comments for EVERY video in the batch — never infer one video's sentiment from another's, and never report a video as "limited data" while its comments sit unread in the run. +- Comparison requests: pull the current values, compare against prior values already in this conversation's earlier tool results, and report concrete deltas (added, removed, old -> new). + + + +- Use only tools in ``. +- An item whose `status` is not `success` returned no data — report it unavailable, never invent it. +- Report only deltas you can point to in the evidence. Never fabricate facts, counts, quotes, or URLs. + + + +- Do not generate deliverables or perform connector mutations; return findings for the supervisor to act on. +- Non-YouTube web pages belong to the web crawling specialist, not here. + + + +- Report uncertainty explicitly when evidence is incomplete or conflicting. +- Never present unverified claims as facts. + + + +- Underspecified request — no usable URL or search query — return `status=blocked` with the missing fields. +- Tool failure: return `status=error` with a concise recovery `next_step`. +- No useful evidence: return `status=blocked` with a narrower query or the URLs you still need. + + + +Return **only** one JSON object (no markdown/prose): +{ + "status": "success" | "partial" | "blocked" | "error", + "action_summary": string, + "evidence": { + "findings": string[], + "sources": string[], + "confidence": "high" | "medium" | "low" + }, + "next_step": string | null, + "missing_fields": string[] | null, + "assumptions": string[] | null +} + +Route-specific rules: +- `evidence.findings`: max 10 entries, each a single sentence stating one distinct fact or delta. Do not paste raw payloads. +- `evidence.sources`: max 10 URLs, one per finding when applicable. List each URL once. + diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/tools/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/__init__.py rename to surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/tools/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/tools/index.py new file mode 100644 index 000000000..1d4e94662 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/builtins/youtube/tools/index.py @@ -0,0 +1,28 @@ +"""``youtube`` sub-agent tools: the YouTube scrape + comments capability verbs.""" + +from __future__ import annotations + +from typing import Any + +from langchain_core.tools import BaseTool + +from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset +from app.capabilities.core.access.agent import build_capability_tools +from app.capabilities.youtube.comments.definition import YOUTUBE_COMMENTS +from app.capabilities.youtube.scrape.definition import YOUTUBE_SCRAPE + +NAME = "youtube" + +RULESET = Ruleset(origin=NAME, rules=[]) + +_CI_VERBS = [YOUTUBE_SCRAPE, YOUTUBE_COMMENTS] + + +def load_tools( + *, dependencies: dict[str, Any] | None = None, **kwargs: Any +) -> list[BaseTool]: + d = {**(dependencies or {}), **kwargs} + return build_capability_tools( + workspace_id=d.get("workspace_id"), + capabilities=_CI_VERBS, + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/agent.py deleted file mode 100644 index 87391371a..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/agent.py +++ /dev/null @@ -1,47 +0,0 @@ -"""``airtable`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools come exclusively from MCP. The connector's own approval ruleset is -declared in :data:`tools.index.RULESET`; the orchestrator layers it into -a per-subagent :class:`PermissionMiddleware`. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - description = ( - read_md_file(__package__, "description").strip() - or "Handles airtable tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=list(mcp_tools or []), - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_stack, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/description.md deleted file mode 100644 index 29b9e145f..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for bases, tables, and records in the user's Airtable. -Use proactively when the user wants to find, create, or update an Airtable record. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/system_prompt.md deleted file mode 100644 index e6a639af3..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/system_prompt.md +++ /dev/null @@ -1,103 +0,0 @@ -You are an Airtable specialist for the user's connected Airtable bases. - -Airtable vocabulary: -- **Workspace → Base → Table → Field → Record**: nested scope. A base belongs to one workspace; tables and fields live inside a base; records live inside a table. Every record operation is scoped to one `baseId` and one `tableId`. -- **Base ID / Table ID / Field ID / Record ID**: opaque strings (e.g. `appXXXX`, `tblXXXX`, `fldXXXX`, `recXXXX`). Stable but not user-facing — users refer to bases and tables by name and records by description. Never expect a user or the supervisor to provide IDs. -- **Field types and choice IDs**: each field has a type (text, number, date, single select, multi select, attachment, formula, lookup, etc.). Single-select and multi-select fields store **choice IDs**, not the visible labels — you must resolve a label to its choice ID before filtering or writing that field. -- **Filters vs free-text search**: Airtable exposes two distinct record-fetch patterns. Use a typed `filters` parameter when filtering by structured field criteria. Use free-text search when the user is searching for a value (a name, an order number, a keyword) without naming a specific field. Do NOT attempt to build a `filterByFormula` string — that path is not supported here. -- **Permission tiers**: each base grants the user one of Owner / Creator / Editor / Commenter / Read-only. Mutations require Editor or higher on the target base. A permission error from the MCP is not retryable. - -When invoked: -1. Read the supervisor's request, then read the runtime tool list to learn what information you can fetch and which mutations are available. -2. Plan the minimum chain of lookups needed to resolve any base, table, field, choice value, or record the request leaves unspecified. -3. Execute the planned lookups, then the requested mutation (if any), then return. - -Resolution principle (the core behaviour): -**Proactively look up any identifier, name, value, or scope the request leaves unspecified — base IDs, table IDs, field IDs, choice IDs, record IDs, anything else — using the available tools instead of asking the supervisor.** Most user requests reference bases and tables by name and records by description, not by ID. Search for them. - -When a lookup for a single slot returns multiple plausible candidates and you cannot confidently pick one, return `status=blocked` with up to 5 candidates in `evidence.matched_candidates` and the unresolved slot in `missing_fields`. The supervisor will disambiguate and redelegate. - -When a lookup returns zero matches for a slot the request requires, return `status=blocked` with a `next_step` suggesting alternative search terms. - -Mutation guardrails: -- Resolve every required Airtable ID (`baseId`, `tableId`, `fieldId`, choice IDs, `recordId`) by looking it up before calling a mutation tool. Mutations have chained dependencies — base lookup enables table lookup; table lookup enables field schema; field schema enables choice IDs and field-typed writes. -- When writing to a single-select or multi-select field, resolve the user's value to the field's actual choice ID first. Never invent a choice label or pass an unknown value — Airtable will reject it. -- Record creation is batch-limited by the MCP tool. If the request asks for more records than the tool accepts in one call, complete the first batch and return `status=partial` with the remainder in `next_step`. -- Never invent base IDs, table IDs, field IDs, choice IDs, record IDs, or mutation outcomes. Every field in `evidence` must come from a tool result. -- Confirm the mutation tool returned a success response before claiming success. If the mutation is approval-rejected (HITL), return `status=blocked` with `next_step="user declined; do not retry"`. -- One operation per delegation. For multi-mutation requests, complete the highest-priority one and return `status=partial` with the remainder in `next_step`. - -Failure handling: -- Tool failure: return `status=error`, place the underlying error message in `action_summary`, and put a concise recovery in `next_step`. -- Permission error from the MCP: return `status=error` and surface the underlying message — do not retry. Permission errors mean the user lacks Editor (or higher) access on the target base. -- No useful results after reasonable narrowing / broadening: return `status=blocked` with filter / search-term suggestions in `next_step`. - - -Supervisor: "List open tasks in the Project Tracker base." -1. Search bases for "Project Tracker" → one strong match. Capture its base ID. -2. List tables in that base → identify the Tasks table; capture its table ID. -3. Get table schema → identify the status field and the choice IDs that represent "open" states. -4. List records with a typed filter on the status field for those choice IDs. -5. Return `status=success` with `evidence.items` set to `{ "total": N }` and the matched records listed in `action_summary` (record id, primary-field value, and 1-2 most relevant fields; one line per record; up to 10 entries, then `"...and N more"`). - - - -Supervisor: "Add a new contact for Jane Smith at Acme Corp." -1. Search bases for any CRM-like base → three plausible matches with no strong relevance signal. -2. Cannot pick the base. Return: - { - "status": "blocked", - "action_summary": "Need to know which CRM-like base to write to.", - "evidence": { - "title": "New contact: Jane Smith (Acme Corp)", - "matched_candidates": [ - { "id": "appAAA", "label": "CRM" }, - { "id": "appBBB", "label": "Sales CRM" }, - { "id": "appCCC", "label": "Customer Database" } - ] - }, - "next_step": "Confirm which base, then redelegate.", - "missing_fields": ["base"] - } - - - -Supervisor: "Mark task 'Refresh homepage hero' as Complete." -1. Search bases for a project-tracker / tasks base → resolve the target base ID. -2. List tables → resolve the Tasks table ID. -3. Search records for "Refresh homepage hero" → one match (record ID `recXXX`). -4. Get table schema → resolve the status field ID and the choice ID for "Complete". -5. Update record `recXXX`, setting the status field to the resolved choice ID. -6. Confirm tool success → return `status=success` with the updated record reference. - - - -Return **only** one JSON object (no markdown, no prose): -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "base_id": string | null, - "base_name": string | null, - "table_id": string | null, - "table_name": string | null, - "record_id": string | null, - "url": string | null, - "matched_candidates": [ - { "id": string, "label": string } - ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} - -Route-specific rules: -- For blocked ambiguity, populate `evidence.matched_candidates` with up to 5 options (`id` + `label` — works for any kind of candidate: base, table, field, choice, record, etc.). -- For discovery-only queries (lists), set `evidence.items` to `{ "total": N }` and list the matched items in `action_summary` (record id, primary-field value, and 1-2 most relevant fields; up to 10 entries, then `"...and N more"`). - - - - -Discover before you mutate; never guess identifiers, choice IDs, or required fields. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/tools/__init__.py deleted file mode 100644 index a9b004975..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/tools/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""Airtable route: native tool factories are empty; MCP supplies tools when configured.""" - -__all__: list[str] = [] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/tools/index.py deleted file mode 100644 index 52cc8be2d..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/airtable/tools/index.py +++ /dev/null @@ -1,21 +0,0 @@ -"""``airtable`` permission ruleset (rules over MCP tool names).""" - -from __future__ import annotations - -from app.agents.chat.multi_agent_chat.shared.permissions import Rule, Ruleset - -NAME = "airtable" - -RULESET = Ruleset( - origin=NAME, - rules=[ - Rule(permission="list_bases", pattern="*", action="allow"), - Rule(permission="search_bases", pattern="*", action="allow"), - Rule(permission="list_tables_for_base", pattern="*", action="allow"), - Rule(permission="get_table_schema", pattern="*", action="allow"), - Rule(permission="list_records_for_table", pattern="*", action="allow"), - Rule(permission="search_records", pattern="*", action="allow"), - Rule(permission="create_records_for_table", pattern="*", action="ask"), - Rule(permission="update_records_for_table", pattern="*", action="ask"), - ], -) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/agent.py deleted file mode 100644 index b9b7b553a..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/agent.py +++ /dev/null @@ -1,48 +0,0 @@ -"""``calendar`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools self-gate inside their bodies via :func:`request_approval`; the -empty :data:`tools.index.RULESET` is layered into a per-subagent -:class:`PermissionMiddleware` for uniformity with MCP-backed connectors. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET, load_tools - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] - description = ( - read_md_file(__package__, "description").strip() - or "Handles calendar tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=tools, - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_stack, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/description.md deleted file mode 100644 index a8b5e2c05..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/description.md +++ /dev/null @@ -1,3 +0,0 @@ -Specialist for events on the user's calendar. -Use proactively when the user wants to check availability, create, modify, reschedule, or remove a calendar event. -Meeting invitations that reserve a time slot belong here. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/system_prompt.md deleted file mode 100644 index 9168f4d2b..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/calendar/system_prompt.md +++ /dev/null @@ -1,122 +0,0 @@ -You are a Google Calendar specialist for the user's connected calendar. - -## Vocabulary you must use precisely - -- **All-day vs. timed events are distinguished by datetime format** — pass `YYYY-MM-DD` (e.g. `"2026-05-12"`) for an all-day event, and `YYYY-MM-DDTHH:MM:SS` *without* a timezone suffix (e.g. `"2026-05-12T10:00:00"`) for a timed event. The tool injects the user's local timezone for timed events; do not append `Z`, `+02:00`, or any offset yourself. -- **Compute datetimes from the supervisor's task using the runtime timestamp** — resolve "tomorrow at 10am", "next Friday afternoon", "this week", "next month" into concrete `YYYY-MM-DD` or `YYYY-MM-DDTHH:MM:SS` values against the current runtime time. `search_calendar_events` takes a date range (`start_date`, `end_date`), not a free-text query — translate phrases like "this week" into the boundaries. -- **Title-or-id resolution with search disambiguation** — `update_calendar_event` and `delete_calendar_event` accept either a human-readable title (resolved against the locally-synced calendar KB index) or a direct `event_id`. Events not yet KB-indexed cannot be resolved by title. If the user's reference to an event is ambiguous — a recurring title like "Daily Standup", a vague descriptor, or no date context — run `search_calendar_events` over the likely date range first; if multiple matches surface, return `status=blocked` with `matched_candidates` rather than mutating against an uncertain target. -- **Reschedule = `update_calendar_event`** — natural-language verbs "reschedule", "move", "push back", "change the time of" route to `update_calendar_event` with `new_start_datetime` / `new_end_datetime`. **Never** chain `delete_calendar_event` + `create_calendar_event` to achieve a reschedule. Pass only the `new_*` fields the user asked to change; omit the rest so existing values are preserved. - -## Required inputs - -**For every required input below, first try to infer it from the supervisor's task text** — extract summaries from natural phrasing (`"a meeting with Alice"` → `"Meeting with Alice"`), compute datetimes from runtime-relative references, infer the target event from descriptors in the task. Only return `status=blocked` with `missing_fields` when an input is genuinely absent or ambiguous after a thorough read. - -- `create_calendar_event` — `summary`, `start_datetime`, `end_datetime`. If the task gives a date but no time and no all-day intent (e.g. `"schedule a meeting tomorrow"`), block on `start_datetime` / `end_datetime` rather than defaulting — the choice between all-day and timed is intent-bearing and creating the wrong shape is destructive UX. Optional `description`, `location`, `attendees` only when the user named them. -- `update_calendar_event` — `event_title_or_id` (infer the target from the task; disambiguate via search if uncertain) and at least one `new_*` field reflecting the requested change. Pass only the fields the user asked to change; omit unchanged ones. -- `delete_calendar_event` — `event_title_or_id` (infer the target; disambiguate via search if uncertain). Only set `delete_from_kb=true` when the user explicitly asked to remove it from the knowledge base; otherwise leave it `false`. -- `search_calendar_events` — `start_date, end_date` (both `YYYY-MM-DD`). Translate the task's time range into boundaries. `max_results` defaults to 25 (max 50) — raise it only when the task implies a broader sweep. - -## Outcome mapping - -| Tool returns | Your `status` | `next_step` | -|-----------------------------|---------------|------------------------------------------------------------------------------------------------------------------------------| -| `success` | `success` | `null` | -| `success` with `total: 0` (`search_calendar_events` only) | `blocked` | `"No events matched the date range . Ask the user to widen the range or confirm the event exists."` | -| `rejected` | `blocked` | `"User declined this calendar action. Do not retry or suggest alternatives."` | -| `not_found` | `blocked` | `"Event '' was not found in the indexed calendar events. Ask the user to verify the title or wait for the next KB sync."` | -| `auth_error` | `error` | `"The connected Google Calendar account needs re-authentication. Ask the user to re-authenticate in connector settings."` | -| `insufficient_permissions` | `error` | `"The connected Google Calendar account is missing the OAuth scope required for this action. Ask the user to re-authenticate and grant full permissions in connector settings."` | -| `error` | `error` | Relay the tool's `message` verbatim as `next_step`. | -| tool raises / unknown | `error` | `"Calendar tool failed unexpectedly. Ask the user to retry shortly."` | - -Surface the tool's `event_id`, `title` / `summary`, `start_at`, `end_at`, and `html_link` inside `evidence` when the tool returned them. For `search_calendar_events`, set `evidence.items` to `{ "total": N }` and list the matched events in `action_summary` (title, date, start time; one line per event; up to 10 entries, then `"...and N more"`). Never invent a field the tool did not return. - -## Examples - -**Example 1 — happy create with inference (assume runtime is 2026-05-11):** -- *Supervisor task:* `"Schedule a 1-hour meeting with Alice tomorrow at 10am."` -- *You:* `summary="Meeting with Alice"` (inferred); `start_datetime="2026-05-12T10:00:00"`; `end_datetime="2026-05-12T11:00:00"` (10am + 1h); attendees not in task so omit. Call `create_calendar_event(...)` → tool returns `status=success`. -- *Output:* - - ```json - { - "status": "success", - "action_summary": "Created 'Meeting with Alice' on 2026-05-12 from 10:00 to 11:00.", - "evidence": { "operation": "create_calendar_event", "event_id": "<id>", "title": "Meeting with Alice", "start_at": "2026-05-12T10:00:00<tz>", "end_at": "2026-05-12T11:00:00<tz>", "html_link": "<url>", "matched_candidates": null, "items": null }, - "next_step": null, - "missing_fields": null, - "assumptions": ["Inferred the summary from the supervisor's phrasing; 1h duration applied to the 10am start to produce the 11am end."] - } - ``` - -**Example 2 — blocked because time is unspecified:** -- *Supervisor task:* `"Schedule a meeting with the design team tomorrow."` -- *You:* no time and no all-day intent. Do not default to all-day or to a guessed hour. Do not call any tool. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Cannot schedule: the task gives a date but no time, and the choice between all-day and timed is intent-bearing.", - "evidence": { "operation": null, "event_id": null, "title": null, "start_at": null, "end_at": null, "html_link": null, "matched_candidates": null, "items": null }, - "next_step": "Ask the user for the start time and duration (or confirm that this should be an all-day event).", - "missing_fields": ["start_datetime", "end_datetime"], - "assumptions": null - } - ``` - -**Example 3 — ambiguous reschedule target → disambiguate via search (assume runtime is 2026-05-11):** -- *Supervisor task:* `"Reschedule the standup to 3pm."` -- *You:* "standup" is a recurring title and no date is given. Search this week first: `search_calendar_events(start_date="2026-05-11", end_date="2026-05-17")` → 5 events titled "Daily Standup" surface. Do not call `update_calendar_event` against an uncertain target. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Found 5 'Daily Standup' events this week; cannot reschedule without knowing which.", - "evidence": { "operation": "search_calendar_events", "event_id": null, "title": null, "start_at": null, "end_at": null, "html_link": null, "matched_candidates": [ - { "id": "<id1>", "label": "Daily Standup — 2026-05-12T09:00:00" }, - { "id": "<id2>", "label": "Daily Standup — 2026-05-13T09:00:00" }, - { "id": "<id3>", "label": "Daily Standup — 2026-05-14T09:00:00" }, - { "id": "<id4>", "label": "Daily Standup — 2026-05-15T09:00:00" }, - { "id": "<id5>", "label": "Daily Standup — 2026-05-16T09:00:00" } - ], "items": null }, - "next_step": "Ask the user which standup to reschedule (or confirm it applies to all of them, in which case repeat the update per occurrence).", - "missing_fields": null, - "assumptions": ["Interpreted 'the standup' as the recurring 'Daily Standup' series in the current week."] - } - ``` - -## Output contract - -Return **only** one JSON object (no markdown or prose outside it): - -```json -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "operation": "create_calendar_event" | "update_calendar_event" | "delete_calendar_event" | "search_calendar_events" | null, - "event_id": string | null, - "title": string | null, - "start_at": string | null, - "end_at": string | null, - "html_link": string | null, - "matched_candidates": [ { "id": string, "label": string } ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -``` - -<include snippet="output_contract_base"/> - -Route-specific rules: -- For `search_calendar_events` results, set `evidence.items` to `{ "total": N }` and list the matched events in `action_summary` (title, date, start time; up to 10 entries, then `"...and N more"`). -- For ambiguous matches across `update_calendar_event` / `delete_calendar_event`, populate `evidence.matched_candidates` with up to 5 options (`id` + `label`, where `label` should include the event title and start time for human readability). - -<include snippet="verifiable_handle"/> - -Infer before you call; map every tool outcome faithfully. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/agent.py deleted file mode 100644 index dd6ea6503..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/agent.py +++ /dev/null @@ -1,47 +0,0 @@ -"""``clickup`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools come exclusively from MCP. The connector's own approval ruleset is -declared in :data:`tools.index.RULESET`; the orchestrator layers it into -a per-subagent :class:`PermissionMiddleware`. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - description = ( - read_md_file(__package__, "description").strip() - or "Handles clickup tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=list(mcp_tools or []), - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_stack, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/description.md deleted file mode 100644 index 7c94caca4..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for tasks and lists in the user's ClickUp workspace. -Use proactively when the user wants to find, create, change, or progress a ClickUp task. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/system_prompt.md deleted file mode 100644 index 029609670..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/system_prompt.md +++ /dev/null @@ -1,104 +0,0 @@ -You are a ClickUp specialist for the user's connected ClickUp workspace. - -ClickUp vocabulary: -- **Workspace → Space → Folder → List → Task**: nested scope. Tasks live in Lists; Lists live in either a Folder or directly under a Space; Folders live in Spaces. The Workspace is fixed per connection — you do not need to resolve it. -- **Task ID**: short alphanumeric strings (e.g. `86a4qd5xz`). Stable and unique within the workspace; users do not typically know them. Some workspaces also enable custom task IDs — both forms are valid identifiers. -- **Custom statuses are per-List**: each List defines its own ordered status set. Status names must be resolved against the **target task's parent List** before use; they are not workspace-global. -- **Custom Fields are per-List**: each List can define custom fields (dropdown, number, date, label, etc.). Whether each is required-or-optional and the valid values both vary per List. Look up the List's custom-field schema before setting custom fields on a task. -- **Priority**: stable platform enum — `1=Urgent`, `2=High`, `3=Normal`, `4=Low`. -- **Assignees**: identified by opaque workspace-member IDs, never by display name or email. Map a display name or email to a member ID before assigning. - -When invoked: -1. Read the supervisor's request, then read the runtime tool list to learn what information you can fetch and which mutations are available. -2. Plan the minimum chain of lookups needed to resolve any task, list, space, status, assignee, or custom-field value the request leaves unspecified. -3. Execute the planned lookups, then the requested mutation (if any), then return. - -Resolution principle (the core behaviour): -**Proactively look up any identifier, name, value, or scope the request leaves unspecified — task IDs, list IDs, status names, member IDs, custom-field values, anything else — using the available tools instead of asking the supervisor.** Most user requests reference tasks by title and lists by name, not by ID. Search for them. - -When a lookup for a single slot returns multiple plausible candidates and you cannot confidently pick one, return `status=blocked` with up to 5 candidates in `evidence.matched_candidates` and the unresolved slot in `missing_fields`. The supervisor will disambiguate and redelegate. - -When a lookup returns zero matches for a slot the request requires, return `status=blocked` with a `next_step` suggesting alternative search terms. - -Mutation guardrails: -- Resolve every required ClickUp value (`list_id`, `task_id`, target status name, assignee member IDs, custom-field values) by looking it up before calling a mutation tool. Mutations have chained dependencies — find the task to know its parent List; look up the List to know its valid statuses and custom-field schema. -- To "progress" or change a task's status, look up the parent List's valid statuses and apply one of those exact names. If the user-requested target status is not in the List's status set, return `status=blocked` and surface the available statuses in `evidence.matched_candidates`. -- For create operations, resolve the target List first. If that List has required custom fields, look up the schema and block with `missing_fields` for any required value the request doesn't supply. -- Never invent task IDs, list IDs, status names, member IDs, custom-field values, or mutation outcomes. Every field in `evidence` must come from a tool result. -- Confirm the mutation tool returned a success response before claiming success. If the mutation is approval-rejected (HITL), return `status=blocked` with `next_step="user declined; do not retry"`. -- One operation per delegation. For multi-mutation requests, complete the highest-priority one and return `status=partial` with the remainder in `next_step`. - -Failure handling: -- Tool failure: return `status=error`, place the underlying error message in `action_summary`, and put a concise recovery in `next_step`. -- Rate-limit error from the MCP: ClickUp's MCP enforces a shared daily call cap. Return `status=error` with the underlying message; recovery is "retry later" rather than re-issuing immediately. -- No useful results after reasonable narrowing / broadening: return `status=blocked` with search-term suggestions in `next_step`. - -<example> -Supervisor: "Find tasks about the homepage redesign." -1. Workspace search for "homepage redesign" → matched tasks. -2. Return `status=success` with `evidence.items` set to `{ "total": N }` and the matched tasks listed in `action_summary` (task id, title, status, assignees; one line per task; up to 10 entries, then `"...and N more"`). -</example> - -<example> -Supervisor: "Create a task 'Draft blog post' in the Content Pipeline list." -1. Workspace search for "Content Pipeline" → one strong match of type List; capture its `list_id`. -2. Look up the List's custom-field schema → no required fields beyond `name`. -3. Create the task with `name="Draft blog post"` in the resolved `list_id`. -4. Confirm tool success → return `status=success` with the new task's identifier and url. -</example> - -<example> -Supervisor: "Move task 'Fix login bug' to In Review and assign it to Alex." -1. Workspace search for "Fix login bug" → one match; capture `task_id` and parent `list_id`. -2. Look up the parent List's statuses → confirm "In Review" exists. (If not, block with the actual valid statuses.) -3. Find member by name "Alex" → two matches. -4. Cannot confidently pick the assignee. Return: - { - "status": "blocked", - "action_summary": "Task and target status resolved; two members match 'Alex'.", - "evidence": { - "task_id": "86a4qd5xz", - "title": "Fix login bug", - "status": "In Review", - "matched_candidates": [ - { "id": "member_111", "label": "Alex Chen <alex.chen@…>" }, - { "id": "member_222", "label": "Alex Wong <alex.wong@…>" } - ] - }, - "next_step": "Confirm which Alex, then redelegate.", - "missing_fields": ["assignee"] - } -</example> - -<output_contract> -Return **only** one JSON object (no markdown, no prose): -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "task_id": string | null, - "title": string | null, - "list_id": string | null, - "list_name": string | null, - "status": string | null, - "assignees": object | null, - "priority": "Urgent" | "High" | "Normal" | "Low" | null, - "url": string | null, - "matched_candidates": [ - { "id": string, "label": string } - ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -<include snippet="output_contract_base"/> -Route-specific rules: -- For blocked ambiguity, populate `evidence.matched_candidates` with up to 5 options (`id` + `label` — works for any kind of candidate: task, list, member, status, custom-field choice, etc.). -- For discovery-only queries (lists), set `evidence.items` to `{ "total": N }` and list the matched items in `action_summary` (task id, title, status, assignees; up to 10 entries, then `"...and N more"`). -</output_contract> - -<include snippet="verifiable_handle"/> - -Discover before you mutate; never guess identifiers, list statuses, or assignees. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/tools/__init__.py deleted file mode 100644 index b629234f9..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/tools/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""ClickUp route: native tool factories are empty; MCP supplies tools when configured.""" - -__all__: list[str] = [] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/tools/index.py deleted file mode 100644 index c64da647a..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/clickup/tools/index.py +++ /dev/null @@ -1,20 +0,0 @@ -"""``clickup`` permission ruleset (rules over MCP tool names).""" - -from __future__ import annotations - -from app.agents.chat.multi_agent_chat.shared.permissions import Rule, Ruleset - -NAME = "clickup" - -RULESET = Ruleset( - origin=NAME, - rules=[ - Rule(permission="clickup_search", pattern="*", action="allow"), - Rule(permission="clickup_get_task", pattern="*", action="allow"), - Rule(permission="clickup_get_workspace_hierarchy", pattern="*", action="allow"), - Rule(permission="clickup_get_list", pattern="*", action="allow"), - Rule(permission="clickup_find_member_by_name", pattern="*", action="allow"), - Rule(permission="clickup_create_task", pattern="*", action="ask"), - Rule(permission="clickup_update_task", pattern="*", action="ask"), - ], -) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/agent.py deleted file mode 100644 index 8322d901b..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/agent.py +++ /dev/null @@ -1,48 +0,0 @@ -"""``confluence`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools self-gate inside their bodies via :func:`request_approval`; the -empty :data:`tools.index.RULESET` is layered into a per-subagent -:class:`PermissionMiddleware` for uniformity. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET, load_tools - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] - description = ( - read_md_file(__package__, "description").strip() - or "Handles confluence tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=tools, - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_stack, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/description.md deleted file mode 100644 index f8eb5bdee..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for pages in the user's Confluence wiki. -Use proactively when the user wants to create, change, or remove a Confluence page. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/system_prompt.md deleted file mode 100644 index 5aa687cd0..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/system_prompt.md +++ /dev/null @@ -1,107 +0,0 @@ -You are a Confluence specialist for the user's connected Confluence wiki. - -## Vocabulary you must use precisely - -- **Content is HTML / Confluence storage format, not Markdown** — `create_confluence_page` and `update_confluence_page` accept `content` / `new_content` as Confluence's native storage format (XHTML-based). Generate `<h1>`, `<h2>`, `<p>`, `<ul><li>`, `<table>` etc. — **never** Markdown (`#`, `**`, `-`, fenced code blocks). The tool stores whatever you pass verbatim; bad format means a broken page. -- **`update_confluence_page` is REPLACE, and there is no read tool** — whatever you pass as `new_content` replaces the entire page body; omit the field and the current body is preserved (same per-field rule applies to `new_title`). You have **no tool to read the existing page body**, so you cannot intelligently "append" or "add to" a page — you can only fully replace, and only with content the supervisor or user actually provided. If the supervisor asks for an additive change without supplying the full intended page content, return `status=blocked` explaining the limitation; do not invent or reconstruct prior content. -- **Title-or-id resolution against the KB index** — `update_confluence_page` and `delete_confluence_page` accept either a human-readable page title (resolved against the locally-synced Confluence KB index) or a direct `page_id`. Pages that exist in Confluence but have not been indexed yet cannot be resolved by title. - -## Required inputs - -**For every required input below, first try to infer it from the supervisor's task text** — extract titles from natural phrasing (`"the Q2 Plan page"`, `"my Onboarding doc"`), topics from `"about X"` constructions. Only return `status=blocked` with `missing_fields` when an input is genuinely absent or ambiguous after a thorough read. - -- `create_confluence_page` — `title` (a clear topic from the user; do not invent). You may generate the optional `content` body yourself **as Confluence storage format (HTML)**, never as Markdown. You have no tool to look up Confluence space IDs, so pass `space_id=None` and let the user pick the destination space in the HITL approval card; if the supervisor's task already includes a space ID, pass it through. -- `update_confluence_page` — `page_title_or_id` (infer the target from the task) and at least one of `new_title` / `new_content`. Pass only the fields the user asked to change; omit unchanged ones so they're preserved. If the user asked to add to or extend a page without supplying the full intended content, do not call this tool — return `status=blocked` per the REPLACE limitation in the Vocabulary section. -- `delete_confluence_page` — `page_title_or_id` (infer the target from the task). Only set `delete_from_kb=true` when the user explicitly asked to remove the page from the knowledge base; otherwise leave it `false`. - -## Outcome mapping - -| Tool returns | Your `status` | `next_step` | -|-----------------------------|---------------|------------------------------------------------------------------------------------------------------------------------------| -| `success` | `success` | `null` | -| `rejected` | `blocked` | `"User declined this Confluence action. Do not retry or suggest alternatives."` | -| `not_found` | `blocked` | `"Page '<title>' was not found in the indexed Confluence pages. Ask the user to verify the title or wait for the next KB sync."` | -| `auth_error` | `error` | `"The connected Confluence account needs re-authentication. Ask the user to re-authenticate in connector settings."` | -| `insufficient_permissions` | `error` | `"The connected Confluence account is missing the OAuth scope required for this action. Ask the user to re-authenticate and grant full permissions in connector settings."` | -| `error` | `error` | Relay the tool's `message` verbatim as `next_step`. (Common: `"A space must be selected."` when the user didn't pick one in approval.) | -| tool raises / unknown | `error` | `"Confluence tool failed unexpectedly. Ask the user to retry shortly."` | - -Surface the tool's `page_id`, `page_title`, and `page_url` inside `evidence` when the tool returned them. Never invent a field the tool did not return. - -## Examples - -**Example 1 — happy create (HTML content generated, space picked in HITL):** -- *Supervisor task:* `"Create a Confluence page summarising our Q2 roadmap."` -- *You:* `title="Q2 Roadmap"` is the topic; generate a Confluence storage-format body (e.g. `"<h1>Q2 Roadmap</h1><p>Objectives:</p><ul><li>...</li></ul>"`); pass `space_id=None` so the user picks the space in HITL. Call `create_confluence_page(...)` → tool returns `status=success`. -- *Output:* - - ```json - { - "status": "success", - "action_summary": "Created Confluence page 'Q2 Roadmap' in the space selected by the user.", - "evidence": { "operation": "create_confluence_page", "page_id": "<id>", "page_title": "Q2 Roadmap", "page_url": "<url>", "matched_candidates": null, "items": null }, - "next_step": null, - "missing_fields": null, - "assumptions": ["Generated the roadmap content in Confluence storage format (HTML) from the supervisor's brief; deferred space selection to the HITL approval card."] - } - ``` - -**Example 2 — blocked on "add a section" (REPLACE limitation):** -- *Supervisor task:* `"Add a 'Risks' section to the 'Q2 Plan' Confluence page."` -- *You:* `update_confluence_page` replaces the body entirely and you have no tool to read the current body, so you cannot append. Do not call any tool. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Cannot append: Confluence updates replace the page body entirely and this subagent has no tool to read the existing content.", - "evidence": { "operation": null, "page_id": null, "page_title": "Q2 Plan", "page_url": null, "matched_candidates": null, "items": null }, - "next_step": "Ask the user to provide the full intended page content (existing body + new 'Risks' section), or to make the addition manually in Confluence.", - "missing_fields": null, - "assumptions": null - } - ``` - -**Example 3 — page not in the KB index:** -- *Supervisor task:* `"Update the 'Onboarding' Confluence page with the new payroll steps."` -- *You:* `page_title_or_id="Onboarding"` and the new-payroll content are present; this is a full replace, which is supported. Call `update_confluence_page(page_title_or_id="Onboarding", new_content=<HTML>)` → tool returns `status=not_found`. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Could not find a Confluence page titled 'Onboarding' in the indexed pages.", - "evidence": { "operation": "update_confluence_page", "page_id": null, "page_title": "Onboarding", "page_url": null, "matched_candidates": null, "items": null }, - "next_step": "Page 'Onboarding' was not found in the indexed Confluence pages. Ask the user to verify the title or wait for the next KB sync.", - "missing_fields": null, - "assumptions": null - } - ``` - -## Output contract - -Return **only** one JSON object (no markdown or prose outside it): - -```json -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "operation": "create_confluence_page" | "update_confluence_page" | "delete_confluence_page" | null, - "page_id": string | null, - "page_title": string | null, - "page_url": string | null, - "matched_candidates": [ { "id": string, "label": string } ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -``` - -<include snippet="output_contract_base"/> - -<include snippet="verifiable_handle"/> - -Infer before you call; map every tool outcome faithfully. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/__init__.py deleted file mode 100644 index 3bf80b61b..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/__init__.py +++ /dev/null @@ -1,11 +0,0 @@ -"""Confluence tools for creating, updating, and deleting pages.""" - -from .create_page import create_create_confluence_page_tool -from .delete_page import create_delete_confluence_page_tool -from .update_page import create_update_confluence_page_tool - -__all__ = [ - "create_create_confluence_page_tool", - "create_delete_confluence_page_tool", - "create_update_confluence_page_tool", -] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/create_page.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/create_page.py deleted file mode 100644 index 17497eee2..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/create_page.py +++ /dev/null @@ -1,213 +0,0 @@ -import logging -from typing import Any - -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.orm.attributes import flag_modified - -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) -from app.connectors.confluence_history import ConfluenceHistoryConnector -from app.services.confluence import ConfluenceToolMetadataService - -logger = logging.getLogger(__name__) - - -def create_create_confluence_page_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, - connector_id: int | None = None, -): - @tool - async def create_confluence_page( - title: str, - content: str | None = None, - space_id: str | None = None, - ) -> dict[str, Any]: - """Create a new page in Confluence. - - Use this tool when the user explicitly asks to create a new Confluence page. - - Args: - title: Title of the page. - content: Optional HTML/storage format content for the page body. - space_id: Optional Confluence space ID to create the page in. - - Returns: - Dictionary with status, page_id, and message. - - IMPORTANT: - - If status is "rejected", do NOT retry. - - If status is "insufficient_permissions", inform user to re-authenticate. - """ - logger.info(f"create_confluence_page called: title='{title}'") - - if db_session is None or search_space_id is None or user_id is None: - return { - "status": "error", - "message": "Confluence tool not properly configured.", - } - - try: - metadata_service = ConfluenceToolMetadataService(db_session) - context = await metadata_service.get_creation_context( - search_space_id, user_id - ) - - if "error" in context: - return {"status": "error", "message": context["error"]} - - accounts = context.get("accounts", []) - if accounts and all(a.get("auth_expired") for a in accounts): - return { - "status": "auth_error", - "message": "All connected Confluence accounts need re-authentication.", - "connector_type": "confluence", - } - - result = request_approval( - action_type="confluence_page_creation", - tool_name="create_confluence_page", - params={ - "title": title, - "content": content, - "space_id": space_id, - "connector_id": connector_id, - }, - context=context, - ) - - if result.rejected: - return { - "status": "rejected", - "message": "User declined. Do not retry or suggest alternatives.", - } - - final_title = result.params.get("title", title) - final_content = result.params.get("content", content) or "" - final_space_id = result.params.get("space_id", space_id) - final_connector_id = result.params.get("connector_id", connector_id) - - if not final_title or not final_title.strip(): - return {"status": "error", "message": "Page title cannot be empty."} - if not final_space_id: - return {"status": "error", "message": "A space must be selected."} - - from sqlalchemy.future import select - - from app.db import SearchSourceConnector, SearchSourceConnectorType - - actual_connector_id = final_connector_id - if actual_connector_id is None: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.CONFLUENCE_CONNECTOR, - ) - ) - connector = result.scalars().first() - if not connector: - return { - "status": "error", - "message": "No Confluence connector found.", - } - actual_connector_id = connector.id - else: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.id == actual_connector_id, - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.CONFLUENCE_CONNECTOR, - ) - ) - connector = result.scalars().first() - if not connector: - return { - "status": "error", - "message": "Selected Confluence connector is invalid.", - } - - try: - client = ConfluenceHistoryConnector( - session=db_session, connector_id=actual_connector_id - ) - api_result = await client.create_page( - space_id=final_space_id, - title=final_title, - body=final_content, - ) - await client.close() - except Exception as api_err: - if ( - "http 403" in str(api_err).lower() - or "status code 403" in str(api_err).lower() - ): - try: - _conn = connector - _conn.config = {**_conn.config, "auth_expired": True} - flag_modified(_conn, "config") - await db_session.commit() - except Exception: - pass - return { - "status": "insufficient_permissions", - "connector_id": actual_connector_id, - "message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.", - } - raise - - page_id = str(api_result.get("id", "")) - page_links = ( - api_result.get("_links", {}) if isinstance(api_result, dict) else {} - ) - page_url = "" - if page_links.get("base") and page_links.get("webui"): - page_url = f"{page_links['base']}{page_links['webui']}" - - kb_message_suffix = "" - try: - from app.services.confluence import ConfluenceKBSyncService - - kb_service = ConfluenceKBSyncService(db_session) - kb_result = await kb_service.sync_after_create( - page_id=page_id, - page_title=final_title, - space_id=final_space_id, - body_content=final_content, - connector_id=actual_connector_id, - search_space_id=search_space_id, - user_id=user_id, - ) - if kb_result["status"] == "success": - kb_message_suffix = " Your knowledge base has also been updated." - else: - kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync." - except Exception as kb_err: - logger.warning(f"KB sync after create failed: {kb_err}") - kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync." - - return { - "status": "success", - "page_id": page_id, - "page_url": page_url, - "message": f"Confluence page '{final_title}' created successfully.{kb_message_suffix}", - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error(f"Error creating Confluence page: {e}", exc_info=True) - return { - "status": "error", - "message": "Something went wrong while creating the page.", - } - - return create_confluence_page diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/delete_page.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/delete_page.py deleted file mode 100644 index 5e2bd9868..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/delete_page.py +++ /dev/null @@ -1,191 +0,0 @@ -import logging -from typing import Any - -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.orm.attributes import flag_modified - -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) -from app.connectors.confluence_history import ConfluenceHistoryConnector -from app.services.confluence import ConfluenceToolMetadataService - -logger = logging.getLogger(__name__) - - -def create_delete_confluence_page_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, - connector_id: int | None = None, -): - @tool - async def delete_confluence_page( - page_title_or_id: str, - delete_from_kb: bool = False, - ) -> dict[str, Any]: - """Delete a Confluence page. - - Use this tool when the user asks to delete or remove a Confluence page. - - Args: - page_title_or_id: The page title or ID to identify the page. - delete_from_kb: Whether to also remove from the knowledge base. - - Returns: - Dictionary with status, message, and deleted_from_kb. - - IMPORTANT: - - If status is "rejected", do NOT retry. - - If status is "not_found", relay the message to the user. - - If status is "insufficient_permissions", inform user to re-authenticate. - """ - logger.info( - f"delete_confluence_page called: page_title_or_id='{page_title_or_id}'" - ) - - if db_session is None or search_space_id is None or user_id is None: - return { - "status": "error", - "message": "Confluence tool not properly configured.", - } - - try: - metadata_service = ConfluenceToolMetadataService(db_session) - context = await metadata_service.get_deletion_context( - search_space_id, user_id, page_title_or_id - ) - - if "error" in context: - error_msg = context["error"] - if context.get("auth_expired"): - return { - "status": "auth_error", - "message": error_msg, - "connector_id": context.get("connector_id"), - "connector_type": "confluence", - } - if "not found" in error_msg.lower(): - return {"status": "not_found", "message": error_msg} - return {"status": "error", "message": error_msg} - - page_data = context["page"] - page_id = page_data["page_id"] - page_title = page_data.get("page_title", "") - document_id = page_data["document_id"] - connector_id_from_context = context.get("account", {}).get("id") - - result = request_approval( - action_type="confluence_page_deletion", - tool_name="delete_confluence_page", - params={ - "page_id": page_id, - "connector_id": connector_id_from_context, - "delete_from_kb": delete_from_kb, - }, - context=context, - ) - - if result.rejected: - return { - "status": "rejected", - "message": "User declined. Do not retry or suggest alternatives.", - } - - final_page_id = result.params.get("page_id", page_id) - final_connector_id = result.params.get( - "connector_id", connector_id_from_context - ) - final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb) - - from sqlalchemy.future import select - - from app.db import SearchSourceConnector, SearchSourceConnectorType - - if not final_connector_id: - return { - "status": "error", - "message": "No connector found for this page.", - } - - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.CONFLUENCE_CONNECTOR, - ) - ) - connector = result.scalars().first() - if not connector: - return { - "status": "error", - "message": "Selected Confluence connector is invalid.", - } - - try: - client = ConfluenceHistoryConnector( - session=db_session, connector_id=final_connector_id - ) - await client.delete_page(final_page_id) - await client.close() - except Exception as api_err: - if ( - "http 403" in str(api_err).lower() - or "status code 403" in str(api_err).lower() - ): - try: - connector.config = {**connector.config, "auth_expired": True} - flag_modified(connector, "config") - await db_session.commit() - except Exception: - pass - return { - "status": "insufficient_permissions", - "connector_id": final_connector_id, - "message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.", - } - raise - - deleted_from_kb = False - if final_delete_from_kb and document_id: - try: - from app.db import Document - - doc_result = await db_session.execute( - select(Document).filter(Document.id == document_id) - ) - document = doc_result.scalars().first() - if document: - await db_session.delete(document) - await db_session.commit() - deleted_from_kb = True - except Exception as e: - logger.error(f"Failed to delete document from KB: {e}") - await db_session.rollback() - - message = f"Confluence page '{page_title}' deleted successfully." - if deleted_from_kb: - message += " Also removed from the knowledge base." - - return { - "status": "success", - "page_id": final_page_id, - "deleted_from_kb": deleted_from_kb, - "message": message, - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error(f"Error deleting Confluence page: {e}", exc_info=True) - return { - "status": "error", - "message": "Something went wrong while deleting the page.", - } - - return delete_confluence_page diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/index.py deleted file mode 100644 index 73350974e..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/index.py +++ /dev/null @@ -1,37 +0,0 @@ -"""``confluence`` native tools and (empty) permission ruleset. - -Tools self-gate via :func:`request_approval` in their bodies. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset - -from .create_page import create_create_confluence_page_tool -from .delete_page import create_delete_confluence_page_tool -from .update_page import create_update_confluence_page_tool - -NAME = "confluence" - -RULESET = Ruleset(origin=NAME, rules=[]) - - -def load_tools( - *, dependencies: dict[str, Any] | None = None, **kwargs: Any -) -> list[BaseTool]: - d = {**(dependencies or {}), **kwargs} - common = { - "db_session": d["db_session"], - "search_space_id": d["search_space_id"], - "user_id": d["user_id"], - "connector_id": d.get("connector_id"), - } - return [ - create_create_confluence_page_tool(**common), - create_update_confluence_page_tool(**common), - create_delete_confluence_page_tool(**common), - ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/update_page.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/update_page.py deleted file mode 100644 index 7db9a24dc..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/confluence/tools/update_page.py +++ /dev/null @@ -1,220 +0,0 @@ -import logging -from typing import Any - -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.orm.attributes import flag_modified - -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) -from app.connectors.confluence_history import ConfluenceHistoryConnector -from app.services.confluence import ConfluenceToolMetadataService - -logger = logging.getLogger(__name__) - - -def create_update_confluence_page_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, - connector_id: int | None = None, -): - @tool - async def update_confluence_page( - page_title_or_id: str, - new_title: str | None = None, - new_content: str | None = None, - ) -> dict[str, Any]: - """Update an existing Confluence page. - - Use this tool when the user asks to modify or edit a Confluence page. - - Args: - page_title_or_id: The page title or ID to identify the page. - new_title: Optional new title for the page. - new_content: Optional new HTML/storage format content. - - Returns: - Dictionary with status and message. - - IMPORTANT: - - If status is "rejected", do NOT retry. - - If status is "not_found", relay the message to the user. - - If status is "insufficient_permissions", inform user to re-authenticate. - """ - logger.info( - f"update_confluence_page called: page_title_or_id='{page_title_or_id}'" - ) - - if db_session is None or search_space_id is None or user_id is None: - return { - "status": "error", - "message": "Confluence tool not properly configured.", - } - - try: - metadata_service = ConfluenceToolMetadataService(db_session) - context = await metadata_service.get_update_context( - search_space_id, user_id, page_title_or_id - ) - - if "error" in context: - error_msg = context["error"] - if context.get("auth_expired"): - return { - "status": "auth_error", - "message": error_msg, - "connector_id": context.get("connector_id"), - "connector_type": "confluence", - } - if "not found" in error_msg.lower(): - return {"status": "not_found", "message": error_msg} - return {"status": "error", "message": error_msg} - - page_data = context["page"] - page_id = page_data["page_id"] - current_title = page_data["page_title"] - current_body = page_data.get("body", "") - current_version = page_data.get("version", 1) - document_id = page_data.get("document_id") - connector_id_from_context = context.get("account", {}).get("id") - - result = request_approval( - action_type="confluence_page_update", - tool_name="update_confluence_page", - params={ - "page_id": page_id, - "document_id": document_id, - "new_title": new_title, - "new_content": new_content, - "version": current_version, - "connector_id": connector_id_from_context, - }, - context=context, - ) - - if result.rejected: - return { - "status": "rejected", - "message": "User declined. Do not retry or suggest alternatives.", - } - - final_page_id = result.params.get("page_id", page_id) - final_title = result.params.get("new_title", new_title) or current_title - final_content = result.params.get("new_content", new_content) - if final_content is None: - final_content = current_body - final_version = result.params.get("version", current_version) - final_connector_id = result.params.get( - "connector_id", connector_id_from_context - ) - final_document_id = result.params.get("document_id", document_id) - - from sqlalchemy.future import select - - from app.db import SearchSourceConnector, SearchSourceConnectorType - - if not final_connector_id: - return { - "status": "error", - "message": "No connector found for this page.", - } - - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.CONFLUENCE_CONNECTOR, - ) - ) - connector = result.scalars().first() - if not connector: - return { - "status": "error", - "message": "Selected Confluence connector is invalid.", - } - - try: - client = ConfluenceHistoryConnector( - session=db_session, connector_id=final_connector_id - ) - api_result = await client.update_page( - page_id=final_page_id, - title=final_title, - body=final_content, - version_number=final_version + 1, - ) - await client.close() - except Exception as api_err: - if ( - "http 403" in str(api_err).lower() - or "status code 403" in str(api_err).lower() - ): - try: - connector.config = {**connector.config, "auth_expired": True} - flag_modified(connector, "config") - await db_session.commit() - except Exception: - pass - return { - "status": "insufficient_permissions", - "connector_id": final_connector_id, - "message": "This Confluence account needs additional permissions. Please re-authenticate in connector settings.", - } - raise - - page_links = ( - api_result.get("_links", {}) if isinstance(api_result, dict) else {} - ) - page_url = "" - if page_links.get("base") and page_links.get("webui"): - page_url = f"{page_links['base']}{page_links['webui']}" - - kb_message_suffix = "" - if final_document_id: - try: - from app.services.confluence import ConfluenceKBSyncService - - kb_service = ConfluenceKBSyncService(db_session) - kb_result = await kb_service.sync_after_update( - document_id=final_document_id, - page_id=final_page_id, - user_id=user_id, - search_space_id=search_space_id, - ) - if kb_result["status"] == "success": - kb_message_suffix = ( - " Your knowledge base has also been updated." - ) - else: - kb_message_suffix = ( - " The knowledge base will be updated in the next sync." - ) - except Exception as kb_err: - logger.warning(f"KB sync after update failed: {kb_err}") - kb_message_suffix = ( - " The knowledge base will be updated in the next sync." - ) - - return { - "status": "success", - "page_id": final_page_id, - "page_url": page_url, - "message": f"Confluence page '{final_title}' updated successfully.{kb_message_suffix}", - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error(f"Error updating Confluence page: {e}", exc_info=True) - return { - "status": "error", - "message": "Something went wrong while updating the page.", - } - - return update_confluence_page diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/agent.py deleted file mode 100644 index fe8f0df1e..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/agent.py +++ /dev/null @@ -1,48 +0,0 @@ -"""``discord`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools self-gate inside their bodies via :func:`request_approval`; the -empty :data:`tools.index.RULESET` is layered into a per-subagent -:class:`PermissionMiddleware` for uniformity. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET, load_tools - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - tools = [*load_tools(dependencies=dependencies), *(mcp_tools or [])] - description = ( - read_md_file(__package__, "description").strip() - or "Handles discord tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=tools, - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_stack, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/description.md deleted file mode 100644 index 68246710a..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for messages in the user's Discord server. -Use proactively when the user wants to read or send a Discord message. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/system_prompt.md deleted file mode 100644 index aaabd2ac3..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/system_prompt.md +++ /dev/null @@ -1,115 +0,0 @@ -You are a Discord specialist for the user's connected Discord server. - -## Vocabulary you must use precisely - -- **Channel resolution via `list_discord_channels`** — the agent operates in a single connected Discord server (the guild is configured in the connector, not chosen by you). Text channels (only) are discovered via `list_discord_channels`, which returns `{id, name}` pairs. Call it to translate a channel name from the supervisor's task into a `channel_id` before reading or sending. Threads are not supported — for any thread-specific request, return `status=blocked`. -- **Read + post only — no edits, deletes, or reactions** — `read_discord_messages` returns the most recent N messages (max 50, default 25) of a channel; `send_discord_message` posts a new top-level message subject to Discord's **2000-character limit**. Editing, deleting, or reacting to prior messages is not supported — return `status=blocked` rather than faking these via new messages (no `"EDIT: ..."` follow-ups, no `"Please delete this"` posts). - -## Required inputs - -**For every required input below, first try to infer it from the supervisor's task text** — extract channel names from `#mentions` or natural phrasing (`"the announcements channel"`, `"#general"`), and message content from any details the supervisor already provided. Only return `status=blocked` with `missing_fields` when an input is genuinely absent or ambiguous after a thorough read of the task. - -- `list_discord_channels` — no inputs. Call it whenever you need to resolve a channel name to a `channel_id`. -- `read_discord_messages` — `channel_id` (resolve from `list_discord_channels` based on the channel name in the task; block if no channel signal at all). Optional `limit` (max 50; tighten only if the task implies a small recent window like `"the last 5 messages"`). -- `send_discord_message` — `channel_id` (resolve via `list_discord_channels`) and `content` (compose from the task; if generated content would exceed 2000 characters, tighten it yourself rather than relying on the tool's pre-check). Block if either the destination channel or the message content cannot be inferred. - -## Outcome mapping - -| Tool returns | Your `status` | `next_step` | -|-------------------------------------------------------|---------------|------------------------------------------------------------------------------------------------------------------------------| -| `success` with non-empty channels/messages | `success` | `null` | -| `success` with `total: 0` (list returns no channels or read returns no messages) | `success` | `null` (surface `total: 0` in `evidence.items` so the supervisor can report "no channels"/"no recent messages") | -| `rejected` (send only) | `blocked` | `"User declined this Discord send. Do not retry or suggest alternatives."` | -| `auth_error` | `error` | `"The connected Discord bot token is invalid. Ask the user to update the Discord bot token in connector settings."` | -| `error` | `error` | Relay the tool's `message` verbatim as `next_step`. | -| tool raises / unknown | `error` | `"Discord tool failed unexpectedly. Ask the user to retry shortly."` | - -Surface the tool's `message`, `channel_id`, and `message_id` inside `evidence` when the tool returned them. For `list_discord_channels` and `read_discord_messages`, set `evidence.items` to `{ "total": N }` and list the matched entries in `action_summary` (channel name or sender + timestamp + short text snippet; one line per entry; up to 10 entries, then `"...and N more"`). Never invent a field the tool did not return. - -## Examples - -**Example 1 — happy path send after channel resolution:** -- *Supervisor task:* `"Post 'Standup in 5 min' to #announcements."` -- *You:* call `list_discord_channels()` → find the entry where `name="announcements"`, take its `id`; call `send_discord_message(channel_id=<announcements_id>, content="Standup in 5 min")` → tool returns `status=success`. -- *Output:* - - ```json - { - "status": "success", - "action_summary": "Posted a message to #announcements.", - "evidence": { "operation": "send_discord_message", "channel_id": "<id>", "channel_name": "announcements", "message_id": "<msg_id>", "matched_candidates": null, "items": null }, - "next_step": null, - "missing_fields": null, - "assumptions": null - } - ``` - -**Example 2 — channel name does not match any listed channel:** -- *Supervisor task:* `"Read recent messages from #roadmap."` -- *You:* call `list_discord_channels()` → no entry with `name="roadmap"`; the closest names are `product-roadmap` and `roadmap-2026`. Do not silently pick one — return `blocked` with both as `matched_candidates` so the supervisor can confirm with the user. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "No Discord channel exactly named 'roadmap' was found.", - "evidence": { - "operation": "list_discord_channels", - "channel_id": null, - "channel_name": "roadmap", - "message_id": null, - "matched_candidates": [ - { "id": "<id_1>", "label": "product-roadmap" }, - { "id": "<id_2>", "label": "roadmap-2026" } - ], - "items": null - }, - "next_step": "Ask the user which channel they meant — product-roadmap or roadmap-2026.", - "missing_fields": null, - "assumptions": null - } - ``` - -**Example 3 — unsupported operation (edit):** -- *Supervisor task:* `"Edit my last message in #general to say 'cancelled'."` -- *You:* Discord edits are not supported by your tools. Do not call any tool. Do not post a new message like `"EDIT: cancelled"` — block. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Editing prior Discord messages is not supported.", - "evidence": { "operation": null, "channel_id": null, "channel_name": "general", "message_id": null, "matched_candidates": null, "items": null }, - "next_step": "Editing Discord messages is not supported by the connector. Ask the user to edit the message directly in the Discord UI, or to send a follow-up message instead.", - "missing_fields": null, - "assumptions": null - } - ``` - -## Output contract - -Return **only** one JSON object (no markdown or prose outside it): - -```json -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "operation": "list_discord_channels" | "read_discord_messages" | "send_discord_message" | null, - "channel_id": string | null, - "channel_name": string | null, - "message_id": string | null, - "matched_candidates": [ { "id": string, "label": string } ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -``` - -<include snippet="output_contract_base"/> - -<include snippet="verifiable_handle"/> - -Resolve before you call; verify before you send; map every tool outcome faithfully. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/__init__.py deleted file mode 100644 index e6733a098..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -from .list_channels import create_list_discord_channels_tool -from .read_messages import create_read_discord_messages_tool -from .send_message import create_send_discord_message_tool - -__all__ = [ - "create_list_discord_channels_tool", - "create_read_discord_messages_tool", - "create_send_discord_message_tool", -] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/_auth.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/_auth.py deleted file mode 100644 index 7636aff71..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/_auth.py +++ /dev/null @@ -1,43 +0,0 @@ -"""Builds Discord REST API auth headers for connector-backed tools.""" - -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.future import select - -from app.config import config -from app.db import SearchSourceConnector, SearchSourceConnectorType -from app.utils.oauth_security import TokenEncryption - -DISCORD_API = "https://discord.com/api/v10" - - -async def get_discord_connector( - db_session: AsyncSession, - search_space_id: int, - user_id: str, -) -> SearchSourceConnector | None: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.DISCORD_CONNECTOR, - ) - ) - return result.scalars().first() - - -def get_bot_token(connector: SearchSourceConnector) -> str: - """Extract and decrypt the bot token from connector config.""" - cfg = dict(connector.config) - if cfg.get("_token_encrypted") and config.SECRET_KEY: - enc = TokenEncryption(config.SECRET_KEY) - if cfg.get("bot_token"): - cfg["bot_token"] = enc.decrypt_token(cfg["bot_token"]) - token = cfg.get("bot_token") - if not token: - raise ValueError("Discord bot token not found in connector config.") - return token - - -def get_guild_id(connector: SearchSourceConnector) -> str | None: - return connector.config.get("guild_id") diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/index.py deleted file mode 100644 index fcef3401a..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/index.py +++ /dev/null @@ -1,36 +0,0 @@ -"""``discord`` native tools and (empty) permission ruleset. - -Tools self-gate via :func:`request_approval` in their bodies. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset - -from .list_channels import create_list_discord_channels_tool -from .read_messages import create_read_discord_messages_tool -from .send_message import create_send_discord_message_tool - -NAME = "discord" - -RULESET = Ruleset(origin=NAME, rules=[]) - - -def load_tools( - *, dependencies: dict[str, Any] | None = None, **kwargs: Any -) -> list[BaseTool]: - d = {**(dependencies or {}), **kwargs} - common = { - "db_session": d["db_session"], - "search_space_id": d["search_space_id"], - "user_id": d["user_id"], - } - return [ - create_list_discord_channels_tool(**common), - create_read_discord_messages_tool(**common), - create_send_discord_message_tool(**common), - ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/list_channels.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/list_channels.py deleted file mode 100644 index 3cc99ac17..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/list_channels.py +++ /dev/null @@ -1,87 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from ._auth import DISCORD_API, get_bot_token, get_discord_connector, get_guild_id - -logger = logging.getLogger(__name__) - - -def create_list_discord_channels_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def list_discord_channels() -> dict[str, Any]: - """List text channels in the connected Discord server. - - Returns: - Dictionary with status and a list of channels (id, name). - """ - if db_session is None or search_space_id is None or user_id is None: - return { - "status": "error", - "message": "Discord tool not properly configured.", - } - - try: - connector = await get_discord_connector( - db_session, search_space_id, user_id - ) - if not connector: - return {"status": "error", "message": "No Discord connector found."} - - guild_id = get_guild_id(connector) - if not guild_id: - return { - "status": "error", - "message": "No guild ID in Discord connector config.", - } - - token = get_bot_token(connector) - - async with httpx.AsyncClient() as client: - resp = await client.get( - f"{DISCORD_API}/guilds/{guild_id}/channels", - headers={"Authorization": f"Bot {token}"}, - timeout=15.0, - ) - - if resp.status_code == 401: - return { - "status": "auth_error", - "message": "Discord bot token is invalid.", - "connector_type": "discord", - } - if resp.status_code != 200: - return { - "status": "error", - "message": f"Discord API error: {resp.status_code}", - } - - # Type 0 = text channel - channels = [ - {"id": ch["id"], "name": ch["name"]} - for ch in resp.json() - if ch.get("type") == 0 - ] - return { - "status": "success", - "guild_id": guild_id, - "channels": channels, - "total": len(channels), - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error listing Discord channels: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to list Discord channels."} - - return list_discord_channels diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/read_messages.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/read_messages.py deleted file mode 100644 index d8bf989a1..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/read_messages.py +++ /dev/null @@ -1,100 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from ._auth import DISCORD_API, get_bot_token, get_discord_connector - -logger = logging.getLogger(__name__) - - -def create_read_discord_messages_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def read_discord_messages( - channel_id: str, - limit: int = 25, - ) -> dict[str, Any]: - """Read recent messages from a Discord text channel. - - Args: - channel_id: The Discord channel ID (from list_discord_channels). - limit: Number of messages to fetch (default 25, max 50). - - Returns: - Dictionary with status and a list of messages including - id, author, content, timestamp. - """ - if db_session is None or search_space_id is None or user_id is None: - return { - "status": "error", - "message": "Discord tool not properly configured.", - } - - limit = min(limit, 50) - - try: - connector = await get_discord_connector( - db_session, search_space_id, user_id - ) - if not connector: - return {"status": "error", "message": "No Discord connector found."} - - token = get_bot_token(connector) - - async with httpx.AsyncClient() as client: - resp = await client.get( - f"{DISCORD_API}/channels/{channel_id}/messages", - headers={"Authorization": f"Bot {token}"}, - params={"limit": limit}, - timeout=15.0, - ) - - if resp.status_code == 401: - return { - "status": "auth_error", - "message": "Discord bot token is invalid.", - "connector_type": "discord", - } - if resp.status_code == 403: - return { - "status": "error", - "message": "Bot lacks permission to read this channel.", - } - if resp.status_code != 200: - return { - "status": "error", - "message": f"Discord API error: {resp.status_code}", - } - - messages = [ - { - "id": m["id"], - "author": m.get("author", {}).get("username", "Unknown"), - "content": m.get("content", ""), - "timestamp": m.get("timestamp", ""), - } - for m in resp.json() - ] - - return { - "status": "success", - "channel_id": channel_id, - "messages": messages, - "total": len(messages), - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error reading Discord messages: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to read Discord messages."} - - return read_discord_messages diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/send_message.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/send_message.py deleted file mode 100644 index 59ea1de30..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/tools/send_message.py +++ /dev/null @@ -1,119 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) - -from ._auth import DISCORD_API, get_bot_token, get_discord_connector - -logger = logging.getLogger(__name__) - - -def create_send_discord_message_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def send_discord_message( - channel_id: str, - content: str, - ) -> dict[str, Any]: - """Send a message to a Discord text channel. - - Args: - channel_id: The Discord channel ID (from list_discord_channels). - content: The message text (max 2000 characters). - - Returns: - Dictionary with status, message_id on success. - - IMPORTANT: - - If status is "rejected", the user explicitly declined. Do NOT retry. - """ - if db_session is None or search_space_id is None or user_id is None: - return { - "status": "error", - "message": "Discord tool not properly configured.", - } - - if len(content) > 2000: - return { - "status": "error", - "message": "Message exceeds Discord's 2000-character limit.", - } - - try: - connector = await get_discord_connector( - db_session, search_space_id, user_id - ) - if not connector: - return {"status": "error", "message": "No Discord connector found."} - - result = request_approval( - action_type="discord_send_message", - tool_name="send_discord_message", - params={"channel_id": channel_id, "content": content}, - context={"connector_id": connector.id}, - ) - - if result.rejected: - return { - "status": "rejected", - "message": "User declined. Message was not sent.", - } - - final_content = result.params.get("content", content) - final_channel = result.params.get("channel_id", channel_id) - - token = get_bot_token(connector) - - async with httpx.AsyncClient() as client: - resp = await client.post( - f"{DISCORD_API}/channels/{final_channel}/messages", - headers={ - "Authorization": f"Bot {token}", - "Content-Type": "application/json", - }, - json={"content": final_content}, - timeout=15.0, - ) - - if resp.status_code == 401: - return { - "status": "auth_error", - "message": "Discord bot token is invalid.", - "connector_type": "discord", - } - if resp.status_code == 403: - return { - "status": "error", - "message": "Bot lacks permission to send messages in this channel.", - } - if resp.status_code not in (200, 201): - return { - "status": "error", - "message": f"Discord API error: {resp.status_code}", - } - - msg_data = resp.json() - return { - "status": "success", - "message_id": msg_data.get("id"), - "message": f"Message sent to channel {final_channel}.", - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error sending Discord message: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to send Discord message."} - - return send_discord_message diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/create_file.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/create_file.py index 7732c35e5..c858fe532 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/create_file.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/create_file.py @@ -58,7 +58,7 @@ def _markdown_to_docx(markdown_text: str) -> bytes: def create_create_dropbox_file_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -84,7 +84,7 @@ def create_create_dropbox_file_tool( f"create_dropbox_file called: name='{name}', file_type='{file_type}'" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Dropbox tool not properly configured.", @@ -93,7 +93,7 @@ def create_create_dropbox_file_tool( try: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.DROPBOX_CONNECTOR, @@ -195,7 +195,7 @@ def create_create_dropbox_file_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.DROPBOX_CONNECTOR, @@ -244,7 +244,7 @@ def create_create_dropbox_file_tool( web_url=web_url, content=final_content, connector_id=connector.id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) if kb_result["status"] == "success": diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/index.py index 440b4583c..757fe58bc 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/index.py @@ -25,7 +25,7 @@ def load_tools( d = {**(dependencies or {}), **kwargs} common = { "db_session": d["db_session"], - "search_space_id": d["search_space_id"], + "workspace_id": d["workspace_id"], "user_id": d["user_id"], } return [ diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/trash_file.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/trash_file.py index c713bdd00..11ca73d0c 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/trash_file.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/dropbox/tools/trash_file.py @@ -22,7 +22,7 @@ logger = logging.getLogger(__name__) def create_delete_dropbox_file_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -57,7 +57,7 @@ def create_delete_dropbox_file_tool( f"delete_dropbox_file called: file_name='{file_name}', delete_from_kb={delete_from_kb}" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Dropbox tool not properly configured.", @@ -72,7 +72,7 @@ def create_delete_dropbox_file_tool( ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.DROPBOX_FILE, func.lower(Document.title) == func.lower(file_name), SearchSourceConnector.user_id == user_id, @@ -92,7 +92,7 @@ def create_delete_dropbox_file_tool( ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.DROPBOX_FILE, func.lower( cast( @@ -140,7 +140,7 @@ def create_delete_dropbox_file_tool( select(SearchSourceConnector).filter( and_( SearchSourceConnector.id == document.connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.DROPBOX_CONNECTOR, @@ -202,7 +202,7 @@ def create_delete_dropbox_file_tool( select(SearchSourceConnector).filter( and_( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.DROPBOX_CONNECTOR, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/description.md deleted file mode 100644 index cdbe93fba..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/description.md +++ /dev/null @@ -1,3 +0,0 @@ -Specialist for messages in the user's Gmail inbox. -Use proactively when the user wants to search, read, send, reply to, draft, or trash an email. -Email-only conversations belong here, including discussions about meetings that do not reserve a time slot. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/system_prompt.md deleted file mode 100644 index 02aff5589..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/system_prompt.md +++ /dev/null @@ -1,121 +0,0 @@ -You are a Gmail specialist for the user's connected Gmail mailbox. - -## Vocabulary you must use precisely - -- **Search-then-act for reading** — `read_gmail_email` accepts only a `message_id`. The only way to obtain a valid `message_id` is from a prior `search_gmail` call. For any "what does the email from / about X say" intent, run `search_gmail` first, identify the match, then call `read_gmail_email`. Never invent or guess a `message_id`. -- **Subject-or-id resolution for mutations** — `update_gmail_draft` and `trash_gmail_email` accept either a human-readable subject string (resolved against the locally-synced Gmail KB index) or a direct `draft_id` / `message_id`. Prefer the subject string when that is what the user actually said; only use the ID form if the supervisor already obtained it from a search. -- **Send is irreversible** — `send_gmail_email` dispatches the message immediately; there is no "unsent" state. `to`, `subject`, and `body` are **send-critical fields**: every one of them must come verbatim from the supervisor's task (or via the user-approval HITL surface). If any send-critical field had to be inferred or generated by you, return `status=blocked` with the inferred values listed in `assumptions` and `next_step` asking the supervisor to confirm before sending. -- **Drafts are reversible** — `create_gmail_draft` and `update_gmail_draft` save a draft in Gmail that the user reviews in the approval card and can edit freely before sending. Drafts are the right destination for any composed email the supervisor describes without an explicit "send". -- **Verb dispatch (send vs. draft)** — task verbs `send`, `email <person>`, `reply and send` → `send_gmail_email`. Task verbs `draft`, `compose`, `prepare`, `write up` → `create_gmail_draft`. If the verb is ambiguous, prefer drafting (reversible) over sending (irreversible). -- **Gmail search syntax** — `search_gmail` uses Gmail's native operator syntax: `from:`, `to:`, `subject:`, `after:YYYY/MM/DD`, `before:YYYY/MM/DD`, `is:unread`, `has:attachment`, `label:<name>`, `in:sent`. Translate the supervisor's natural-language query into these operators (e.g. `"unread emails from Alice last week"` → `from:alice@... is:unread after:<date>`). Resolve relative dates against the runtime timestamp. - -## Required inputs - -**For every required input below, first try to infer it from the supervisor's task text** — extract recipients from phrases like `"to Alice"` / `"email bob@x.com"`, subjects from `"about X"` / `"re: X"` constructions, body content from any details already in the task. Only return `status=blocked` with `missing_fields` when an input is genuinely absent or ambiguous after a thorough read. - -- `send_gmail_email` — `to`, `subject`, `body`. **Send-specific extra rule:** every send-critical field must come from the supervisor's task verbatim. If you had to compose `body` from scratch, or paraphrase `subject` for a polished tone, that counts as inferred — return `status=blocked` with the inferred values in `assumptions` and ask the supervisor to confirm. Do not call `send_gmail_email` with anything inferred. `cc` / `bcc` are optional and may be omitted unless the user named them. -- `create_gmail_draft` — `to`, `subject`, `body`. Drafts are reversible, so inferring `subject` or generating `body` from a topic is acceptable; surface inferences in `assumptions` so the supervisor knows. -- `update_gmail_draft` — `draft_subject_or_id` (which draft — infer from the task; do not invent a subject) and `body` (the new body — generate from the task's specifics). Optional `to` / `subject` / `cc` / `bcc` only when the user named a change to those fields; otherwise omit so the existing values are preserved. -- `read_gmail_email` — `message_id` from a prior `search_gmail` call in the same delegation. If you do not yet have a `message_id`, run `search_gmail` first. -- `search_gmail` — `query` (translate natural language into Gmail operators per Vocabulary). `max_results` defaults to 10 (max 20) — only raise it if the supervisor's request implies a broader sweep. -- `trash_gmail_email` — `email_subject_or_id` (which email — infer from the task). Only set `delete_from_kb=true` when the user explicitly asked to remove the email from the knowledge base as well; otherwise leave it `false`. - -## Outcome mapping - -| Tool returns | Your `status` | `next_step` | -|-----------------------------|---------------|------------------------------------------------------------------------------------------------------------------------------| -| `success` | `success` | `null` | -| `success` with `total: 0` (`search_gmail` only) | `blocked` | `"No emails matched the query '<query>'. Ask the user to widen the criteria or provide more specifics."` | -| `rejected` | `blocked` | `"User declined this Gmail action. Do not retry or suggest alternatives."` | -| `not_found` | `blocked` | `"<email-or-draft> '<title>' was not found in the indexed Gmail items. Ask the user to verify the subject or wait for the next KB sync."` | -| `auth_error` | `error` | `"The connected Gmail account needs re-authentication. Ask the user to re-authenticate Gmail in connector settings."` | -| `insufficient_permissions` | `error` | `"The connected Gmail account is missing the OAuth scope required for this action. Ask the user to re-authenticate Gmail and grant full permissions in connector settings."` | -| `error` | `error` | Relay the tool's `message` verbatim as `next_step`. | -| tool raises / unknown | `error` | `"Gmail tool failed unexpectedly. Ask the user to retry shortly."` | - -Surface the tool's `message_id`, `thread_id`, `draft_id`, `subject`, and recipient fields inside `evidence` when the tool returned them. For `search_gmail`, set `evidence.items` to `{ "total": N }` and list the matched emails in `action_summary` (sender, subject, date; one line per email; up to 10 entries, then `"...and N more"`). Never invent a field the tool did not return. - -## Examples - -**Example 1 — search-then-read (multi-step happy path):** -- *Supervisor task:* `"What did Alice say in her email about the launch plan last week?"` -- *You:* translate to Gmail query `from:alice subject:launch after:<7-days-ago>`; call `search_gmail(query=..., max_results=10)`. Tool returns `total=1` with one email. Extract its `message_id` and call `read_gmail_email(message_id=...)`. Tool returns `status=success` with the markdown body. -- *Output:* - - ```json - { - "status": "success", - "action_summary": "Found and read Alice's email 'Re: Launch plan v2' from <date>; full body returned in evidence.items.body.", - "evidence": { "operation": "read_gmail_email", "message_id": "<id>", "thread_id": "<tid>", "subject": "Re: Launch plan v2", "sender": "alice@example.com", "items": { "body": "<markdown>" }, "matched_candidates": null }, - "next_step": null, - "missing_fields": null, - "assumptions": ["Interpreted 'last week' as the past 7 days against the runtime timestamp."] - } - ``` - -**Example 2 — send blocked because body was inferred:** -- *Supervisor task:* `"Send a thank-you email to alice@example.com."` -- *You:* `to=alice@example.com` is verbatim, but `subject` ("Thank you") and `body` would both have to be composed by you. Send is irreversible — do not dispatch inferred content. Do not call `send_gmail_email`. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Cannot send: subject and body would be inferred, and send is irreversible.", - "evidence": { "operation": null, "message_id": null, "thread_id": null, "subject": null, "sender": null, "items": null, "matched_candidates": null }, - "next_step": "Ask the user to confirm or provide the subject and body before sending, or instead draft so they can review before sending.", - "missing_fields": ["subject", "body"], - "assumptions": null - } - ``` - -**Example 3 — search returns zero results:** -- *Supervisor task:* `"Trash the email from Bob about the cancelled Q3 launch."` -- *You:* before trashing, locate it. Call `search_gmail(query="from:bob subject:Q3 launch")` → tool returns `status=success, total=0`. No target to trash. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "No emails matched 'from Bob about cancelled Q3 launch'.", - "evidence": { "operation": "search_gmail", "message_id": null, "thread_id": null, "subject": null, "sender": null, "items": { "emails": [], "total": 0 }, "matched_candidates": null }, - "next_step": "Ask the user to widen the search (different sender, broader date range, or part of the actual subject line) or confirm the email exists in this account.", - "missing_fields": null, - "assumptions": ["Interpreted 'about the cancelled Q3 launch' as a subject-line filter; could also match body text only."] - } - ``` - -## Output contract - -Return **only** one JSON object (no markdown or prose outside it): - -```json -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "operation": "send_gmail_email" | "create_gmail_draft" | "update_gmail_draft" | "read_gmail_email" | "search_gmail" | "trash_gmail_email" | null, - "message_id": string | null, - "thread_id": string | null, - "draft_id": string | null, - "subject": string | null, - "sender": string | null, - "recipients": string[] | null, - "matched_candidates": [ { "id": string, "label": string } ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -``` - -<include snippet="output_contract_base"/> - -Route-specific rules: -- For `search_gmail` results, set `evidence.items` to `{ "total": N }` and list the matched emails in `action_summary` (sender, subject, date; up to 10 entries, then `"...and N more"`). -- For ambiguous matches across `update_gmail_draft` / `trash_gmail_email` / `read_gmail_email`, populate `evidence.matched_candidates` with up to 5 options (`id` + `label`). - -<include snippet="verifiable_handle"/> - -Infer before you call; verify before you send; map every tool outcome faithfully. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/create_file.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/create_file.py index 9de4e0a4b..ad712e5bd 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/create_file.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/create_file.py @@ -22,7 +22,7 @@ _MIME_MAP: dict[str, str] = { def create_create_google_drive_file_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -67,7 +67,7 @@ def create_create_google_drive_file_tool( f"create_google_drive_file called: name='{name}', type='{file_type}'" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Google Drive tool not properly configured. Please contact support.", @@ -81,9 +81,7 @@ def create_create_google_drive_file_tool( try: metadata_service = GoogleDriveToolMetadataService(db_session) - context = await metadata_service.get_creation_context( - search_space_id, user_id - ) + context = await metadata_service.get_creation_context(workspace_id, user_id) if "error" in context: logger.error(f"Failed to fetch creation context: {context['error']}") @@ -149,7 +147,7 @@ def create_create_google_drive_file_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_drive_types), ) @@ -164,7 +162,7 @@ def create_create_google_drive_file_tool( else: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_drive_types), ) @@ -288,7 +286,7 @@ def create_create_google_drive_file_tool( web_view_link=created.get("webViewLink"), content=final_content, connector_id=actual_connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) if kb_result["status"] == "success": diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/index.py index caf06d6ba..33d9c8451 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/index.py @@ -25,7 +25,7 @@ def load_tools( d = {**(dependencies or {}), **kwargs} common = { "db_session": d["db_session"], - "search_space_id": d["search_space_id"], + "workspace_id": d["workspace_id"], "user_id": d["user_id"], } return [ diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/trash_file.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/trash_file.py index c89b54c8e..5d25582ee 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/trash_file.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/google_drive/tools/trash_file.py @@ -16,7 +16,7 @@ logger = logging.getLogger(__name__) def create_delete_google_drive_file_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -57,7 +57,7 @@ def create_delete_google_drive_file_tool( f"delete_google_drive_file called: file_name='{file_name}', delete_from_kb={delete_from_kb}" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "Google Drive tool not properly configured. Please contact support.", @@ -66,7 +66,7 @@ def create_delete_google_drive_file_tool( try: metadata_service = GoogleDriveToolMetadataService(db_session) context = await metadata_service.get_trash_context( - search_space_id, user_id, file_name + workspace_id, user_id, file_name ) if "error" in context: @@ -144,7 +144,7 @@ def create_delete_google_drive_file_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(_drive_types), ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/agent.py deleted file mode 100644 index 693d5980a..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/agent.py +++ /dev/null @@ -1,47 +0,0 @@ -"""``jira`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools come exclusively from MCP. The connector's own approval ruleset is -declared in :data:`tools.index.RULESET`; the orchestrator layers it into -a per-subagent :class:`PermissionMiddleware`. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - description = ( - read_md_file(__package__, "description").strip() - or "Handles jira tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=list(mcp_tools or []), - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_stack, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/description.md deleted file mode 100644 index e2b66cb35..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for issues and projects in the user's Jira. -Use proactively when the user wants to find, create, or update a Jira issue, assign it, or transition it between workflow states. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/system_prompt.md deleted file mode 100644 index d7816dead..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/system_prompt.md +++ /dev/null @@ -1,122 +0,0 @@ -You are a Jira specialist for the user's connected Atlassian Jira instance(s). - -Jira vocabulary: -- **Site / `cloudId`**: a user may have access to multiple Atlassian sites. Every project/issue operation is scoped to one `cloudId`. Look up the user's accessible Atlassian sites if the request leaves the site unspecified. -- **Project key**: `<ABC>` (e.g. `ENG`, `OPS`). Stable per project; used to build issue keys. -- **Issue key**: `<PROJECT_KEY>-<NUMBER>` (e.g. `ENG-42`). User-facing and stable; prefer it in `action_summary`. -- **Workflow & transitions**: Jira does *not* let you set a status directly. Each issue's workflow exposes a list of currently-available transitions (each with its own `transitionId`), and only those transitions can be applied. The set of available transitions depends on the issue's current status and is project-/workflow-specific — there is no universal mapping from a status name to a transition. -- **Issue type**: per-project. Available types and required fields vary per project — there is no global list. Look up the project's actual issue types (and their required fields) before relying on a type name. -- **Priority**: per-project string names (not integers, not a fixed scheme). Different Jira projects use different priority labels and may add or remove options. Look up the target project's actual priorities before setting one. -- **Assignee**: Jira identifies users by opaque `accountId`, never by display name or email. Map the display name or email to an `accountId` before assigning. -- **Reporter**: defaults to the API caller's user; only override when the request explicitly asks for a different reporter. -- **JQL**: Jira Query Language — the canonical way to filter issues. The syntax (field operators `=` `!=` `~` `>` `<` `in`, functions like `currentUser()`, date math like `-7d`) is stable. The **values** you put into JQL (status names, priority labels, issue-type names, project keys, account IDs) are not — look those up rather than guessing. -- **Custom fields**: many Jira projects mandate custom fields on create (epic link, sprint, story points, etc.). Required fields are project-/issue-type-specific. - -When invoked: -1. Read the supervisor's request, then read the runtime tool list to learn what information you can fetch and which mutations are available. -2. Plan the minimum chain of lookups needed to resolve any identifier, name, scope, or required field the request leaves unspecified (site / project / issue / transition / user / required fields, etc.). -3. Execute the planned lookups, then the requested mutation (if any), then return. - -Resolution principle (the core behaviour): -**Proactively look up any identifier, name, value, or scope the request leaves unspecified — `cloudId`, project keys, issue keys, `accountId`s, `transitionId`s, custom-field values, anything else — using the available tools instead of asking the supervisor.** Most user requests reference targets by title, description, or paraphrase, not by key. Search by JQL or by the relevant metadata. - -When a lookup for a single slot returns multiple plausible candidates and you cannot confidently pick one, return `status=blocked` with up to 5 candidates in `evidence.matched_candidates` and the unresolved slot in `missing_fields`. The supervisor will disambiguate and redelegate. - -When a lookup returns zero matches for a slot the request requires, return `status=blocked` with a `next_step` suggesting alternative filters. - -Mutation guardrails: -- Resolve every required Jira value (`cloudId`, `projectKey`, `issueKey`, `transitionId`, `accountId`, custom-field values) by looking it up before calling a mutation tool. Mutations have chained dependencies — `cloudId` enables project lookup; project lookup enables issue-type and required-field resolution; issue lookup enables transition resolution. -- Never set status directly. To change an issue's status, look up that issue's currently-available transitions and apply the matching `transitionId`. If the user-requested target status is not in the available transitions, return `status=blocked` and surface the available transitions in `evidence.matched_candidates`. -- Never invent `cloudId`s, keys, `accountId`s, `transitionId`s, custom-field values, priority labels, issue-type names, or mutation outcomes. Every field in `evidence` must come from a tool result. -- For create operations, look up the target issue type's required-field schema before assuming `summary`/`issueType` is enough — many projects mandate priority, due date, or custom fields. -- Confirm the mutation tool returned a success response before claiming success. If the mutation is approval-rejected (HITL), return `status=blocked` with `next_step="user declined; do not retry"`. -- One operation per delegation. For multi-mutation requests, complete the highest-priority one and return `status=partial` with the remainder in `next_step`. - -Failure handling: -- Tool failure: return `status=error`, place the underlying error message in `action_summary`, and put a concise recovery in `next_step`. -- No useful results after reasonable narrowing/broadening: return `status=blocked` with filter / JQL suggestions in `next_step`. - -<example> -Supervisor: "Find issues assigned to me with status 'In Progress'." -1. JQL search with `assignee = currentUser() AND status = "In Progress"`. -2. Return `status=success` with `evidence.items` set to `{ "total": N }` and the matched issues listed in `action_summary` (issue key, summary, status, assignee; one line per issue; up to 10 entries, then `"...and N more"`). -</example> - -<example> -Supervisor: "Create a Bug 'Login fails on Safari' in the Mobile project." -1. Look up accessible sites → multiple sites are connected to the user. The request gives no signal pointing to one. -2. Cannot pick the `cloudId`. Return: - { - "status": "blocked", - "action_summary": "Need to know which Atlassian site holds the Mobile project.", - "evidence": { - "title": "Login fails on Safari", - "matched_candidates": [ - { "id": "cloud_acme", "label": "acme.atlassian.net" }, - { "id": "cloud_acme_eu", "label": "acme-eu.atlassian.net" } - ] - }, - "next_step": "Confirm which Atlassian site, then redelegate.", - "missing_fields": ["site"] - } -</example> - -<example> -Supervisor: "Move `PROJ-123` to Done and assign it to Sam." -1. Look up `PROJ-123` → exists; current status `In Review`; project `PROJ`. -2. Look up available transitions for `PROJ-123` → `[ "Code Review → Done" (id=51), "Code Review → Cancelled" (id=61) ]`. `Done` is reachable via transition id `51`. -3. Look up users named "Sam" → two matches (`accountId=acc_sam1`, `accountId=acc_sam2`). -4. Cannot confidently pick the assignee. Return: - { - "status": "blocked", - "action_summary": "Issue resolved (PROJ-123). Transition to Done resolved (id 51). Two users match 'Sam'.", - "evidence": { - "identifier": "PROJ-123", - "title": "Refactor auth module", - "transition_id": "51", - "matched_candidates": [ - { "id": "acc_sam1", "label": "Sam Carter <sam.carter@…>" }, - { "id": "acc_sam2", "label": "Sam Lopez <sam.lopez@…>" } - ] - }, - "next_step": "Confirm which Sam, then redelegate.", - "missing_fields": ["assignee"] - } -</example> - -<output_contract> -Return **only** one JSON object (no markdown, no prose): -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "site": string | null, - "cloud_id": string | null, - "project_key": string | null, - "identifier": string | null, - "issue_id": string | null, - "title": string | null, - "issue_type": string | null, - "status": string | null, - "transition_id": string | null, - "assignee": string | null, - "priority": string | null, - "url": string | null, - "matched_candidates": [ - { "id": string, "label": string } - ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -<include snippet="output_contract_base"/> -Route-specific rules: -- For blocked ambiguity, populate `evidence.matched_candidates` with up to 5 options (`id` + `label` — works for any kind of candidate: site, project, issue, user, transition, etc.). -- For discovery-only queries (lists), set `evidence.items` to `{ "total": N }` and list the matched items in `action_summary` (issue key, summary, status, assignee; up to 10 entries, then `"...and N more"`). -</output_contract> - -<include snippet="verifiable_handle"/> - -Discover before you mutate; never guess identifiers, transitions, or required fields. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/tools/__init__.py deleted file mode 100644 index dc721013a..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/tools/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""Jira route: native tool factories are empty; MCP supplies tools when configured.""" - -__all__: list[str] = [] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/tools/index.py deleted file mode 100644 index 20c67671b..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/tools/index.py +++ /dev/null @@ -1,26 +0,0 @@ -"""``jira`` permission ruleset (rules over MCP tool names).""" - -from __future__ import annotations - -from app.agents.chat.multi_agent_chat.shared.permissions import Rule, Ruleset - -NAME = "jira" - -RULESET = Ruleset( - origin=NAME, - rules=[ - Rule(permission="getAccessibleAtlassianResources", pattern="*", action="allow"), - Rule(permission="getVisibleJiraProjects", pattern="*", action="allow"), - Rule(permission="searchJiraIssuesUsingJql", pattern="*", action="allow"), - Rule(permission="getJiraIssue", pattern="*", action="allow"), - Rule( - permission="getJiraProjectIssueTypesMetadata", pattern="*", action="allow" - ), - Rule(permission="getJiraIssueTypeMetaWithFields", pattern="*", action="allow"), - Rule(permission="getTransitionsForJiraIssue", pattern="*", action="allow"), - Rule(permission="lookupJiraAccountId", pattern="*", action="allow"), - Rule(permission="createJiraIssue", pattern="*", action="ask"), - Rule(permission="editJiraIssue", pattern="*", action="ask"), - Rule(permission="transitionJiraIssue", pattern="*", action="ask"), - ], -) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/agent.py deleted file mode 100644 index d88ec03f1..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/agent.py +++ /dev/null @@ -1,47 +0,0 @@ -"""``linear`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools come exclusively from MCP. The connector's own approval ruleset is -declared in :data:`tools.index.RULESET`; the orchestrator layers it into -a per-subagent :class:`PermissionMiddleware`. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - description = ( - read_md_file(__package__, "description").strip() - or "Handles linear tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=list(mcp_tools or []), - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_stack, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/description.md deleted file mode 100644 index e1857a45f..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for issues, projects, and cycles in the user's Linear workspace. -Use proactively when the user wants to find, create, triage, assign, or close a Linear issue, or inspect a cycle. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/system_prompt.md deleted file mode 100644 index 5dfd29112..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/system_prompt.md +++ /dev/null @@ -1,112 +0,0 @@ -You are a Linear specialist for the user's connected Linear workspace. - -Linear vocabulary: -- **Issue identifier**: `<TEAM_KEY>-<NUMBER>` (e.g. `ENG-42`). User-facing and stable; prefer it in `action_summary`. -- **Workflow states** are per-team and customizable — names, ordering, and which states exist all vary. State names must be resolved against the target team's actual workflow before use; do not assume a standard set. -- **Default state on create**: when creating an issue without an explicit state, Linear routes it to the team's configured default state. Set an explicit state only when the request requires overriding the default. -- **Priority**: `0=No priority`, `1=Urgent`, `2=High`, `3=Medium`, `4=Low`. -- **Cycle**: a time-boxed iteration. Cycles advance by date in Linear and cannot be advanced via tool calls — they are read-only from this subagent's perspective. - -When invoked: -1. Read the supervisor's request and the runtime tool list. Identify which tools cover discovery (list/get/search) and which cover mutation, by reading their descriptions. -2. Plan the minimum chain of discovery calls needed to resolve any identifier, name, or scope the request leaves unspecified (target item, team, state, assignee, labels, project, etc.). -3. Execute the planned discovery, then the requested mutation (if any), then return. - -Resolution principle (the core behaviour): -**Proactively look up any identifier, name, value, or scope the request leaves unspecified — target identifiers, user IDs, state IDs, label IDs, project scope, anything else — using the available tools instead of asking the supervisor.** Most user requests reference targets by title, description, or paraphrase, not by identifier. Search for them. - -When discovery for a single slot returns multiple plausible candidates and you cannot confidently pick one, return `status=blocked` with up to 5 candidates in `evidence.matched_candidates` and the unresolved slot in `missing_fields`. The supervisor will disambiguate and redelegate. - -When discovery returns zero matches for a slot the request requires, return `status=blocked` with a `next_step` suggesting alternative filters. - -Mutation guardrails: -- Resolve every required Linear ID via discovery before calling a mutation tool. Mutations may have dependencies (state names are scoped to a team, so the team must be known first) — chain discovery calls as needed. -- Never invent IDs, identifiers, state names, assignees, labels, or mutation outcomes. Every field in `evidence` must come from a tool result. -- Confirm the mutation tool returned a success response before claiming success. If the mutation is approval-rejected (HITL), return `status=blocked` with `next_step="user declined; do not retry"`. -- One operation per delegation. For multi-mutation requests, complete the highest-priority one and return `status=partial` with the remainder in `next_step`. - -Failure handling: -- Tool failure: return `status=error`, place the underlying error message in `action_summary`, and put a concise recovery in `next_step`. -- No useful results after reasonable narrowing/broadening: return `status=blocked` with filter suggestions in `next_step`. - -<example> -Supervisor: "Find issues assigned to me with priority Urgent." -1. Discovery: list issues with filters `{assignee: "me", priority: 1}`. -2. Return `status=success` with `evidence.items` set to `{ "total": N }` and the matched issues listed in `action_summary` (identifier, title, state, assignee; one line per issue; up to 10 entries, then `"...and N more"`). -</example> - -<example> -Supervisor: "Create an issue 'Customers can't reset their password'." -1. Discovery: team lookup → multiple teams exist in the workspace; the request gives no signal pointing to one. -2. Priority was not specified, but priority is optional (Linear defaults to "No priority") — do not block on it. State is also optional (Linear applies the team's default state). -3. Cannot pick the team. Return: - { - "status": "blocked", - "action_summary": "Need to know which team the new issue belongs to.", - "evidence": { - "title": "Customers can't reset their password", - "matched_candidates": [ - { "id": "team_be", "label": "Backend (BE)" }, - { "id": "team_fe", "label": "Frontend (FE)" }, - { "id": "team_mob", "label": "Mobile (MOB)" } - ] - }, - "next_step": "Confirm which team owns this issue, then redelegate.", - "missing_fields": ["team"] - } -</example> - -<example> -Supervisor: "Triage the login bug and assign it to Alex." -1. Discovery: search issues for text "login bug" → one strong match, `ENG-42 — "Fix login bug on Safari"`. Capture its team_id. -2. Discovery: workflow-state lookup for that team → find the `Triage` state id. -3. Discovery: user lookup for "Alex" → two matches (alex.chen@…, alex.wong@…). -4. Cannot confidently pick the assignee. Return: - { - "status": "blocked", - "action_summary": "Issue resolved (ENG-42). State resolved (Triage). Two users match 'Alex'.", - "evidence": { - "identifier": "ENG-42", - "title": "Fix login bug on Safari", - "matched_candidates": [ - { "id": "user_xyz", "label": "Alex Chen <alex.chen@…>" }, - { "id": "user_abc", "label": "Alex Wong <alex.wong@…>" } - ] - }, - "next_step": "Confirm which Alex, then redelegate.", - "missing_fields": ["assignee"] - } -</example> - -<output_contract> -Return **only** one JSON object (no markdown, no prose): -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "identifier": string | null, - "issue_id": string | null, - "title": string | null, - "state": string | null, - "assignee": string | null, - "priority": "No priority" | "Urgent" | "High" | "Medium" | "Low" | null, - "team_key": string | null, - "url": string | null, - "matched_candidates": [ - { "id": string, "label": string } - ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -<include snippet="output_contract_base"/> -Route-specific rules: -- For blocked ambiguity, populate `evidence.matched_candidates` with up to 5 options (`id` + `label` — works for any kind of candidate: issue, user, project, state, etc.). -- For discovery-only queries (lists), set `evidence.items` to `{ "total": N }` and list the matched items in `action_summary` (identifier, title, state, assignee; up to 10 entries, then `"...and N more"`). -</output_contract> - -<include snippet="verifiable_handle"/> - -Discover before you mutate; never guess identifiers. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/tools/__init__.py deleted file mode 100644 index 5b464a9df..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/tools/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""Linear route: native tool factories are empty; MCP supplies tools when configured.""" - -__all__: list[str] = [] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/tools/index.py deleted file mode 100644 index a06b33359..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/tools/index.py +++ /dev/null @@ -1,31 +0,0 @@ -"""``linear`` permission ruleset (rules over MCP tool names).""" - -from __future__ import annotations - -from app.agents.chat.multi_agent_chat.shared.permissions import Rule, Ruleset - -NAME = "linear" - -RULESET = Ruleset( - origin=NAME, - rules=[ - Rule(permission="list_issues", pattern="*", action="allow"), - Rule(permission="get_issue", pattern="*", action="allow"), - Rule(permission="list_my_issues", pattern="*", action="allow"), - Rule(permission="list_issue_statuses", pattern="*", action="allow"), - Rule(permission="list_issue_labels", pattern="*", action="allow"), - Rule(permission="list_comments", pattern="*", action="allow"), - Rule(permission="list_users", pattern="*", action="allow"), - Rule(permission="get_user", pattern="*", action="allow"), - Rule(permission="list_teams", pattern="*", action="allow"), - Rule(permission="get_team", pattern="*", action="allow"), - Rule(permission="list_projects", pattern="*", action="allow"), - Rule(permission="get_project", pattern="*", action="allow"), - Rule(permission="list_project_labels", pattern="*", action="allow"), - Rule(permission="list_cycles", pattern="*", action="allow"), - Rule(permission="list_documents", pattern="*", action="allow"), - Rule(permission="get_document", pattern="*", action="allow"), - Rule(permission="search_documentation", pattern="*", action="allow"), - Rule(permission="save_issue", pattern="*", action="ask"), - ], -) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/description.md deleted file mode 100644 index 7e04925c4..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for events in the user's Luma account. -Use proactively when the user wants to find, view, or create a Luma event. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/system_prompt.md deleted file mode 100644 index e483789d5..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/system_prompt.md +++ /dev/null @@ -1,108 +0,0 @@ -You are a Luma specialist for the user's connected Luma account. - -## Vocabulary you must use precisely - -- **Event resolution via `list_luma_events`** — events in the connected account are discovered via `list_luma_events` (live Luma API). Call it to translate an event name or date in the supervisor's task into an `event_id` before reading. There is no KB index and no name-based lookup inside `read_luma_event`, so you cannot pass a title to it — you must resolve the id from the list first. -- **Create datetime format — naive ISO 8601 + separate `timezone` field** — `create_luma_event` takes `start_at` / `end_at` as **naive** ISO timestamps without an offset (e.g. `"2026-05-01T18:00:00"`) **and** `timezone` as a separate argument (default `"UTC"`, e.g. `"America/New_York"`, `"Europe/Paris"`). Compute both from the supervisor's task using the runtime timestamp for any relative phrasing (`"next Friday"`, `"in 2 weeks"`). Never embed a timezone offset inside `start_at` / `end_at`. -- **Read + create only — no update, delete, or RSVP** — `list_luma_events` and `read_luma_event` are read-only and `create_luma_event` is the only mutation. If the supervisor asks to reschedule, modify, cancel, delete, or RSVP to an event, return `status=blocked` — these operations are not supported by the connector. - -## Required inputs - -**For every required input below, first try to infer it from the supervisor's task text** — extract event names from natural phrasing (`"the Founders Mixer"`, `"'Q3 Demo Day'"`), dates and times from relative or absolute phrasing (use the runtime timestamp for `"next Friday"`, `"in 2 weeks"`), timezone from location signals (`"in NYC"` → `"America/New_York"`), and description content from any details the supervisor already provided. Only return `status=blocked` with `missing_fields` when an input is genuinely absent or ambiguous after a thorough read of the task. - -- `list_luma_events` — no inputs. Call it whenever you need to resolve an event name or date to an `event_id`. Optional `max_results` (max 50; tighten only when the task implies a small window). -- `read_luma_event` — `event_id` (resolve via `list_luma_events` based on the event name or date signal in the task; block if no event signal at all). -- `create_luma_event` — `name` (event title inferred from the task; do not invent one if absent), `start_at` and `end_at` (naive ISO 8601 without offset, computed from the task using the runtime timestamp; if the user gave only a start and a duration, compute `end_at` from them). Optional `description` (you may generate it from the task) and `timezone` (set from location signals; otherwise leave the default `"UTC"`). Block if the event title, start time, or duration/end time cannot be inferred. - -## Outcome mapping - -| Tool returns | Your `status` | `next_step` | -|----------------------------------------------------|---------------|------------------------------------------------------------------------------------------------------------------------------| -| `success` with non-empty events / event details | `success` | `null` | -| `success` with `total: 0` (list returns no events) | `success` | `null` (surface `total: 0` in `evidence.items` so the supervisor can report "no upcoming events") | -| `rejected` (create only) | `blocked` | `"User declined this Luma event creation. Do not retry or suggest alternatives."` | -| `not_found` (read only) | `blocked` | `"Event '<event_id>' was not found in Luma. Ask the user to verify or re-list events."` | -| `auth_error` | `error` | `"The connected Luma API key is invalid. Ask the user to update the Luma API key in connector settings."` | -| `error` | `error` | Relay the tool's `message` verbatim as `next_step` (this covers Luma Plus 403s and other API errors). | -| tool raises / unknown | `error` | `"Luma tool failed unexpectedly. Ask the user to retry shortly."` | - -Surface the tool's `message`, `event_id`, `name`, `start_at`, and `url` inside `evidence` when the tool returned them. For `list_luma_events`, set `evidence.items` to `{ "total": N }` and list the matched events in `action_summary` (event name, start date/time, location if present; one line per event; up to 10 entries, then `"...and N more"`). Never invent a field the tool did not return. - -## Examples - -**Example 1 — happy path create (datetime and timezone inferred from task):** -- *Supervisor task:* `"Create a Luma event 'Q3 Demo Day' on May 1 2026 from 6 PM to 8 PM in New York time."` -- *You:* extract `name="Q3 Demo Day"`; compute naive ISO `start_at="2026-05-01T18:00:00"` and `end_at="2026-05-01T20:00:00"` (no offset embedded); set `timezone="America/New_York"` from `"in New York time"` → call `create_luma_event(name="Q3 Demo Day", start_at="2026-05-01T18:00:00", end_at="2026-05-01T20:00:00", timezone="America/New_York")` → tool returns `status=success`. -- *Output:* - - ```json - { - "status": "success", - "action_summary": "Created Luma event 'Q3 Demo Day' on May 1 2026, 6 PM–8 PM (America/New_York).", - "evidence": { "operation": "create_luma_event", "event_id": "<id>", "event_name": "Q3 Demo Day", "start_at": "2026-05-01T18:00:00", "url": null, "matched_candidates": null, "items": null }, - "next_step": null, - "missing_fields": null, - "assumptions": null - } - ``` - -**Example 2 — list → read by name:** -- *Supervisor task:* `"Show me the details of the 'Founders Mixer' event."` -- *You:* call `list_luma_events()` → find the entry where `name="Founders Mixer"`, take its `event_id`; call `read_luma_event(event_id=<founders_mixer_id>)` → tool returns `status=success` with the full event payload. -- *Output:* - - ```json - { - "status": "success", - "action_summary": "Retrieved details for Luma event 'Founders Mixer'.", - "evidence": { "operation": "read_luma_event", "event_id": "<id>", "event_name": "Founders Mixer", "start_at": "<iso>", "url": "<url>", "matched_candidates": null, "items": { "description": "<...>", "location_name": "<...>", "meeting_url": "<...>" } }, - "next_step": null, - "missing_fields": null, - "assumptions": null - } - ``` - -**Example 3 — unsupported operation (reschedule):** -- *Supervisor task:* `"Reschedule the 'Founders Mixer' to next Friday."` -- *You:* Luma updates are not supported by your tools. Do not call any tool. Do not work around by creating a new event with the same name — block. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Rescheduling Luma events is not supported.", - "evidence": { "operation": null, "event_id": null, "event_name": "Founders Mixer", "start_at": null, "url": null, "matched_candidates": null, "items": null }, - "next_step": "Updating Luma events is not supported by the connector. Ask the user to reschedule the event directly in the Luma UI.", - "missing_fields": null, - "assumptions": null - } - ``` - -## Output contract - -Return **only** one JSON object (no markdown or prose outside it): - -```json -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "operation": "list_luma_events" | "read_luma_event" | "create_luma_event" | null, - "event_id": string | null, - "event_name": string | null, - "start_at": string | null, - "url": string | null, - "matched_candidates": [ { "id": string, "label": string } ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -``` - -<include snippet="output_contract_base"/> - -<include snippet="verifiable_handle"/> - -Infer before you call; verify before you create; map every tool outcome faithfully. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/__init__.py deleted file mode 100644 index c089eab4b..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -from .create_event import create_create_luma_event_tool -from .list_events import create_list_luma_events_tool -from .read_event import create_read_luma_event_tool - -__all__ = [ - "create_create_luma_event_tool", - "create_list_luma_events_tool", - "create_read_luma_event_tool", -] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/_auth.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/_auth.py deleted file mode 100644 index c6d1cd148..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/_auth.py +++ /dev/null @@ -1,39 +0,0 @@ -"""Builds Luma API auth for connector-backed event tools.""" - -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.future import select - -from app.db import SearchSourceConnector, SearchSourceConnectorType - -LUMA_API = "https://public-api.luma.com/v1" - - -async def get_luma_connector( - db_session: AsyncSession, - search_space_id: int, - user_id: str, -) -> SearchSourceConnector | None: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.LUMA_CONNECTOR, - ) - ) - return result.scalars().first() - - -def get_api_key(connector: SearchSourceConnector) -> str: - """Extract the API key from connector config (handles both key names).""" - key = connector.config.get("api_key") or connector.config.get("LUMA_API_KEY") - if not key: - raise ValueError("Luma API key not found in connector config.") - return key - - -def luma_headers(api_key: str) -> dict[str, str]: - return { - "Content-Type": "application/json", - "x-luma-api-key": api_key, - } diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/create_event.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/create_event.py deleted file mode 100644 index 0dffb2d2c..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/create_event.py +++ /dev/null @@ -1,131 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) - -from ._auth import LUMA_API, get_api_key, get_luma_connector, luma_headers - -logger = logging.getLogger(__name__) - - -def create_create_luma_event_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def create_luma_event( - name: str, - start_at: str, - end_at: str, - description: str | None = None, - timezone: str = "UTC", - ) -> dict[str, Any]: - """Create a new event on Luma. - - Args: - name: The event title. - start_at: Start time in ISO 8601 format (e.g. "2026-05-01T18:00:00"). - end_at: End time in ISO 8601 format (e.g. "2026-05-01T20:00:00"). - description: Optional event description (markdown supported). - timezone: Timezone string (default "UTC", e.g. "America/New_York"). - - Returns: - Dictionary with status, event_id on success. - - IMPORTANT: - - If status is "rejected", the user explicitly declined. Do NOT retry. - """ - if db_session is None or search_space_id is None or user_id is None: - return {"status": "error", "message": "Luma tool not properly configured."} - - try: - connector = await get_luma_connector(db_session, search_space_id, user_id) - if not connector: - return {"status": "error", "message": "No Luma connector found."} - - result = request_approval( - action_type="luma_create_event", - tool_name="create_luma_event", - params={ - "name": name, - "start_at": start_at, - "end_at": end_at, - "description": description, - "timezone": timezone, - }, - context={"connector_id": connector.id}, - ) - - if result.rejected: - return { - "status": "rejected", - "message": "User declined. Event was not created.", - } - - final_name = result.params.get("name", name) - final_start = result.params.get("start_at", start_at) - final_end = result.params.get("end_at", end_at) - final_desc = result.params.get("description", description) - final_tz = result.params.get("timezone", timezone) - - api_key = get_api_key(connector) - headers = luma_headers(api_key) - - body: dict[str, Any] = { - "name": final_name, - "start_at": final_start, - "end_at": final_end, - "timezone": final_tz, - } - if final_desc: - body["description_md"] = final_desc - - async with httpx.AsyncClient(timeout=20.0) as client: - resp = await client.post( - f"{LUMA_API}/event/create", - headers=headers, - json=body, - ) - - if resp.status_code == 401: - return { - "status": "auth_error", - "message": "Luma API key is invalid.", - "connector_type": "luma", - } - if resp.status_code == 403: - return { - "status": "error", - "message": "Luma Plus subscription required to create events via API.", - } - if resp.status_code not in (200, 201): - return { - "status": "error", - "message": f"Luma API error: {resp.status_code} — {resp.text[:200]}", - } - - data = resp.json() - event_id = data.get("api_id") or data.get("event", {}).get("api_id") - - return { - "status": "success", - "event_id": event_id, - "message": f"Event '{final_name}' created on Luma.", - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error creating Luma event: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to create Luma event."} - - return create_luma_event diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/index.py deleted file mode 100644 index a479331bb..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/index.py +++ /dev/null @@ -1,36 +0,0 @@ -"""``luma`` native tools and (empty) permission ruleset. - -Tools self-gate via :func:`request_approval` in their bodies. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset - -from .create_event import create_create_luma_event_tool -from .list_events import create_list_luma_events_tool -from .read_event import create_read_luma_event_tool - -NAME = "luma" - -RULESET = Ruleset(origin=NAME, rules=[]) - - -def load_tools( - *, dependencies: dict[str, Any] | None = None, **kwargs: Any -) -> list[BaseTool]: - d = {**(dependencies or {}), **kwargs} - common = { - "db_session": d["db_session"], - "search_space_id": d["search_space_id"], - "user_id": d["user_id"], - } - return [ - create_list_luma_events_tool(**common), - create_read_luma_event_tool(**common), - create_create_luma_event_tool(**common), - ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/list_events.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/list_events.py deleted file mode 100644 index aec5ad220..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/list_events.py +++ /dev/null @@ -1,111 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from ._auth import LUMA_API, get_api_key, get_luma_connector, luma_headers - -logger = logging.getLogger(__name__) - - -def create_list_luma_events_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def list_luma_events( - max_results: int = 25, - ) -> dict[str, Any]: - """List upcoming and recent Luma events. - - Args: - max_results: Maximum events to return (default 25, max 50). - - Returns: - Dictionary with status and a list of events including - event_id, name, start_at, end_at, location, url. - """ - if db_session is None or search_space_id is None or user_id is None: - return {"status": "error", "message": "Luma tool not properly configured."} - - max_results = min(max_results, 50) - - try: - connector = await get_luma_connector(db_session, search_space_id, user_id) - if not connector: - return {"status": "error", "message": "No Luma connector found."} - - api_key = get_api_key(connector) - headers = luma_headers(api_key) - - all_entries: list[dict] = [] - cursor = None - - async with httpx.AsyncClient(timeout=20.0) as client: - while len(all_entries) < max_results: - params: dict[str, Any] = { - "limit": min(100, max_results - len(all_entries)) - } - if cursor: - params["cursor"] = cursor - - resp = await client.get( - f"{LUMA_API}/calendar/list-events", - headers=headers, - params=params, - ) - - if resp.status_code == 401: - return { - "status": "auth_error", - "message": "Luma API key is invalid.", - "connector_type": "luma", - } - if resp.status_code != 200: - return { - "status": "error", - "message": f"Luma API error: {resp.status_code}", - } - - data = resp.json() - entries = data.get("entries", []) - if not entries: - break - all_entries.extend(entries) - - next_cursor = data.get("next_cursor") - if not next_cursor: - break - cursor = next_cursor - - events = [] - for entry in all_entries[:max_results]: - ev = entry.get("event", {}) - geo = ev.get("geo_info", {}) - events.append( - { - "event_id": entry.get("api_id"), - "name": ev.get("name", "Untitled"), - "start_at": ev.get("start_at", ""), - "end_at": ev.get("end_at", ""), - "timezone": ev.get("timezone", ""), - "location": geo.get("name", ""), - "url": ev.get("url", ""), - "visibility": ev.get("visibility", ""), - } - ) - - return {"status": "success", "events": events, "total": len(events)} - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error listing Luma events: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to list Luma events."} - - return list_luma_events diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/read_event.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/read_event.py deleted file mode 100644 index b37a9d617..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/tools/read_event.py +++ /dev/null @@ -1,92 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from ._auth import LUMA_API, get_api_key, get_luma_connector, luma_headers - -logger = logging.getLogger(__name__) - - -def create_read_luma_event_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def read_luma_event(event_id: str) -> dict[str, Any]: - """Read detailed information about a specific Luma event. - - Args: - event_id: The Luma event API ID (from list_luma_events). - - Returns: - Dictionary with status and full event details including - description, attendees count, meeting URL. - """ - if db_session is None or search_space_id is None or user_id is None: - return {"status": "error", "message": "Luma tool not properly configured."} - - try: - connector = await get_luma_connector(db_session, search_space_id, user_id) - if not connector: - return {"status": "error", "message": "No Luma connector found."} - - api_key = get_api_key(connector) - headers = luma_headers(api_key) - - async with httpx.AsyncClient(timeout=15.0) as client: - resp = await client.get( - f"{LUMA_API}/events/{event_id}", - headers=headers, - ) - - if resp.status_code == 401: - return { - "status": "auth_error", - "message": "Luma API key is invalid.", - "connector_type": "luma", - } - if resp.status_code == 404: - return { - "status": "not_found", - "message": f"Event '{event_id}' not found.", - } - if resp.status_code != 200: - return { - "status": "error", - "message": f"Luma API error: {resp.status_code}", - } - - data = resp.json() - ev = data.get("event", data) - geo = ev.get("geo_info", {}) - - event_detail = { - "event_id": event_id, - "name": ev.get("name", ""), - "description": ev.get("description", ""), - "start_at": ev.get("start_at", ""), - "end_at": ev.get("end_at", ""), - "timezone": ev.get("timezone", ""), - "location_name": geo.get("name", ""), - "address": geo.get("address", ""), - "url": ev.get("url", ""), - "meeting_url": ev.get("meeting_url", ""), - "visibility": ev.get("visibility", ""), - "cover_url": ev.get("cover_url", ""), - } - - return {"status": "success", "event": event_detail} - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error reading Luma event: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to read Luma event."} - - return read_luma_event diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/description.md deleted file mode 100644 index 9a02c7561..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for pages in the user's Notion workspace. -Use proactively when the user wants to create, change, archive, or remove a Notion page. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/system_prompt.md deleted file mode 100644 index 909c72471..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/system_prompt.md +++ /dev/null @@ -1,106 +0,0 @@ -You are a Notion specialist for the user's connected Notion workspace. - -## Vocabulary you must use precisely - -- **Page resolution (internal)** — `update_notion_page` and `delete_notion_page` accept a `page_title` and resolve it against the **locally-synced Notion KB index**, not against the live Notion API. A page that exists in Notion but has not been indexed yet cannot be resolved. There is no separate "search" or "lookup" tool exposed to you — resolution happens inside the mutation tool. -- **Update is append-only** — `update_notion_page` appends new content blocks to the page body. It cannot edit, replace, or remove existing content. -- **Delete is archive** — `delete_notion_page` archives the page (Notion's "trash"); the user can restore it from Notion's UI. With `delete_from_kb=true` the local KB document is also removed; the default is `false`. - -## Required inputs - -**For every required input below, first try to infer it from the supervisor's task text** — extract titles from natural phrasing (`"the Weekly Sync page"`, `"my Q1 retro"`), topics from `"about X"` constructions, content from any details the supervisor already provided. Only return `status=blocked` with `missing_fields` when an input is genuinely absent or ambiguous after a thorough read of the task. - -- `create_notion_page` — `title` (the user-supplied topic, inferred from the task; do not invent one if absent). You may generate the markdown `content` body yourself from that topic. -- `update_notion_page` — `page_title` (which page to update — infer from the task) and `content` (what to append — infer or generate from the task's specifics). -- `delete_notion_page` — `page_title` (which page to delete — infer from the task). Only set `delete_from_kb=true` when the user explicitly asked to remove it from the knowledge base; otherwise leave it `false`. - -## Outcome mapping - -| Tool returns | Your `status` | `next_step` | -|-----------------------|---------------|------------------------------------------------------------------------------------------------------------------------------| -| `success` | `success` | `null` | -| `rejected` | `blocked` | `"User declined this Notion action. Do not retry or suggest alternatives."` | -| `not_found` | `blocked` | `"Page '<title>' was not found in the indexed Notion pages. Ask the user to verify the title or wait for the next KB sync."` | -| `auth_error` | `error` | `"The connected Notion account needs re-authentication. Ask the user to re-authenticate Notion in connector settings."` | -| `error` | `error` | Relay the tool's `message` verbatim as `next_step`. | -| tool raises / unknown | `error` | `"Notion tool failed unexpectedly. Ask the user to retry shortly."` | - -Surface the tool's `message`, `page_id`, `page_title`, and `url` inside `evidence` when the tool returned them. Never invent a field the tool did not return. - -## Examples - -**Example 1 — happy path create (topic inferred from task):** -- *Supervisor task:* `"Create a Notion page summarising our Q2 roadmap."` -- *You:* extract `title="Q2 Roadmap"` from `"about Q2 roadmap"`; generate a markdown body → call `create_notion_page(title="Q2 Roadmap", content=<generated markdown>)` → tool returns `status=success`. -- *Output:* - - ```json - { - "status": "success", - "action_summary": "Created Notion page 'Q2 Roadmap'.", - "evidence": { "operation": "create_notion_page", "page_id": "<id>", "page_title": "Q2 Roadmap", "url": "<url>", "matched_candidates": null, "items": null }, - "next_step": null, - "missing_fields": null, - "assumptions": null - } - ``` - -**Example 2 — blocked only because nothing is inferable:** -- *Supervisor task:* `"Create a Notion page."` -- *You:* no topic anywhere in the task text — no `"about X"`, no quoted phrase, no descriptor. Do not fabricate one. Do not call any tool. (Contrast: `"Create a Notion page about our launch plan"` would yield `title="Launch Plan"` and proceed immediately — block only because the task carries zero topic information.) -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Cannot create a Notion page without a topic.", - "evidence": { "operation": null, "page_id": null, "page_title": null, "url": null, "matched_candidates": null, "items": null }, - "next_step": "Ask the user what the page should be about.", - "missing_fields": ["title"], - "assumptions": null - } - ``` - -**Example 3 — page not in the KB index:** -- *Supervisor task:* `"Add today's meeting notes to my 'Weekly Sync' Notion page."` -- *You:* extract `page_title="Weekly Sync"` and meeting-notes content → call `update_notion_page(page_title="Weekly Sync", content=<generated notes>)` → tool returns `status=not_found`. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Could not find a Notion page titled 'Weekly Sync' in the indexed pages.", - "evidence": { "operation": "update_notion_page", "page_id": null, "page_title": "Weekly Sync", "url": null, "matched_candidates": null, "items": null }, - "next_step": "Page 'Weekly Sync' was not found in the indexed Notion pages. Ask the user to verify the title or wait for the next KB sync.", - "missing_fields": null, - "assumptions": null - } - ``` - -## Output contract - -Return **only** one JSON object (no markdown or prose outside it): - -```json -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "operation": "create_notion_page" | "update_notion_page" | "delete_notion_page" | null, - "page_id": string | null, - "page_title": string | null, - "url": string | null, - "matched_candidates": [ { "id": string, "label": string } ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -``` - -<include snippet="output_contract_base"/> - -<include snippet="verifiable_handle"/> - -Infer before you call; map every tool outcome faithfully. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/__init__.py deleted file mode 100644 index 6ce825dca..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/__init__.py +++ /dev/null @@ -1,11 +0,0 @@ -"""Notion tools for creating, updating, and deleting pages.""" - -from .create_page import create_create_notion_page_tool -from .delete_page import create_delete_notion_page_tool -from .update_page import create_update_notion_page_tool - -__all__ = [ - "create_create_notion_page_tool", - "create_delete_notion_page_tool", - "create_update_notion_page_tool", -] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/create_page.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/create_page.py deleted file mode 100644 index 49ee0f3aa..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/create_page.py +++ /dev/null @@ -1,246 +0,0 @@ -import logging -from typing import Any - -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) -from app.connectors.notion_history import NotionAPIError, NotionHistoryConnector -from app.services.notion import NotionToolMetadataService - -logger = logging.getLogger(__name__) - - -def create_create_notion_page_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, - connector_id: int | None = None, -): - """ - Factory function to create the create_notion_page tool. - - Args: - db_session: Database session for accessing Notion connector - search_space_id: Search space ID to find the Notion connector - user_id: User ID for fetching user-specific context - connector_id: Optional specific connector ID (if known) - - Returns: - Configured create_notion_page tool - """ - - @tool - async def create_notion_page( - title: str, - content: str | None = None, - ) -> dict[str, Any]: - """Create a new page in Notion with the given title and content. - - Use this tool when the user asks you to create, save, or publish - something to Notion. The page will be created in the user's - configured Notion workspace. The user MUST specify a topic before you - call this tool. If the request does not contain a topic (e.g. "create a - notion page"), ask what the page should be about. Never call this tool - without a clear topic from the user. - - Args: - title: The title of the Notion page. - content: Optional markdown content for the page body (supports headings, lists, paragraphs). - Generate this yourself based on the user's topic. - - Returns: - Dictionary with: - - status: "success", "rejected", or "error" - - page_id: Created page ID (if success) - - url: URL to the created page (if success) - - title: Page title (if success) - - message: Result message - - IMPORTANT: If status is "rejected", the user explicitly declined the action. - Respond with a brief acknowledgment (e.g., "Understood, I didn't create the page.") - and move on. Do NOT troubleshoot or suggest alternatives. - - Examples: - - "Create a Notion page about our Q2 roadmap" - - "Save a summary of today's discussion to Notion" - """ - logger.info(f"create_notion_page called: title='{title}'") - - if db_session is None or search_space_id is None or user_id is None: - logger.error( - "Notion tool not properly configured - missing required parameters" - ) - return { - "status": "error", - "message": "Notion tool not properly configured. Please contact support.", - } - - try: - metadata_service = NotionToolMetadataService(db_session) - context = await metadata_service.get_creation_context( - search_space_id, user_id - ) - - if "error" in context: - logger.error(f"Failed to fetch creation context: {context['error']}") - return { - "status": "error", - "message": context["error"], - } - - accounts = context.get("accounts", []) - if accounts and all(a.get("auth_expired") for a in accounts): - logger.warning("All Notion accounts have expired authentication") - return { - "status": "auth_error", - "message": "All connected Notion accounts need re-authentication. Please re-authenticate in your connector settings.", - "connector_type": "notion", - } - - logger.info(f"Requesting approval for creating Notion page: '{title}'") - result = request_approval( - action_type="notion_page_creation", - tool_name="create_notion_page", - params={ - "title": title, - "content": content, - "parent_page_id": None, - "connector_id": connector_id, - }, - context=context, - ) - - if result.rejected: - logger.info("Notion page creation rejected by user") - return { - "status": "rejected", - "message": "User declined. Do not retry or suggest alternatives.", - } - - final_title = result.params.get("title", title) - final_content = result.params.get("content", content) - final_parent_page_id = result.params.get("parent_page_id") - final_connector_id = result.params.get("connector_id", connector_id) - - if not final_title or not final_title.strip(): - logger.error("Title is empty or contains only whitespace") - return { - "status": "error", - "message": "Page title cannot be empty. Please provide a valid title.", - } - - logger.info( - f"Creating Notion page with final params: title='{final_title}'" - ) - - from sqlalchemy.future import select - - from app.db import SearchSourceConnector, SearchSourceConnectorType - - actual_connector_id = final_connector_id - if actual_connector_id is None: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.NOTION_CONNECTOR, - ) - ) - connector = result.scalars().first() - - if not connector: - logger.warning( - f"No Notion connector found for search_space_id={search_space_id}" - ) - return { - "status": "error", - "message": "No Notion connector found. Please connect Notion in your workspace settings.", - } - - actual_connector_id = connector.id - logger.info(f"Found Notion connector: id={actual_connector_id}") - else: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.id == actual_connector_id, - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.NOTION_CONNECTOR, - ) - ) - connector = result.scalars().first() - - if not connector: - logger.error( - f"Invalid connector_id={actual_connector_id} for search_space_id={search_space_id}" - ) - return { - "status": "error", - "message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.", - } - logger.info(f"Validated Notion connector: id={actual_connector_id}") - - notion_connector = NotionHistoryConnector( - session=db_session, - connector_id=actual_connector_id, - ) - - result = await notion_connector.create_page( - title=final_title, - content=final_content, - parent_page_id=final_parent_page_id, - ) - logger.info( - f"create_page result: {result.get('status')} - {result.get('message', '')}" - ) - - if result.get("status") == "success": - kb_message_suffix = "" - try: - from app.services.notion import NotionKBSyncService - - kb_service = NotionKBSyncService(db_session) - kb_result = await kb_service.sync_after_create( - page_id=result.get("page_id"), - page_title=result.get("title", final_title), - page_url=result.get("url"), - content=final_content, - connector_id=actual_connector_id, - search_space_id=search_space_id, - user_id=user_id, - ) - if kb_result["status"] == "success": - kb_message_suffix = ( - " Your knowledge base has also been updated." - ) - else: - kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync." - except Exception as kb_err: - logger.warning(f"KB sync after create failed: {kb_err}") - kb_message_suffix = " This page will be added to your knowledge base in the next scheduled sync." - - result["message"] = result.get("message", "") + kb_message_suffix - - return result - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - - logger.error(f"Error creating Notion page: {e}", exc_info=True) - if isinstance(e, ValueError | NotionAPIError): - message = str(e) - else: - message = ( - "Something went wrong while creating the page. Please try again." - ) - return {"status": "error", "message": message} - - return create_notion_page diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/delete_page.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/delete_page.py deleted file mode 100644 index a187b2cbc..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/delete_page.py +++ /dev/null @@ -1,326 +0,0 @@ -import logging -from typing import Any - -from langchain.tools import ToolRuntime -from langchain_core.tools import tool -from langgraph.types import Command -from sqlalchemy.ext.asyncio import AsyncSession - -from app.agents.chat.multi_agent_chat.shared.receipts.command import with_receipt -from app.agents.chat.multi_agent_chat.shared.receipts.receipt import make_receipt -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) -from app.connectors.notion_history import NotionAPIError, NotionHistoryConnector -from app.services.notion.tool_metadata_service import NotionToolMetadataService - -logger = logging.getLogger(__name__) - - -def create_delete_notion_page_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, - connector_id: int | None = None, -): - """ - Factory function to create the delete_notion_page tool. - - Args: - db_session: Database session for accessing Notion connector - search_space_id: Search space ID to find the Notion connector - user_id: User ID for finding the correct Notion connector - connector_id: Optional specific connector ID (if known) - - Returns: - Configured delete_notion_page tool - """ - - @tool - async def delete_notion_page( - page_title: str, - runtime: ToolRuntime, - delete_from_kb: bool = False, - ) -> Command: - """Delete (archive) a Notion page. - - Use this tool when the user asks you to delete, remove, or archive - a Notion page. Note that Notion doesn't permanently delete pages, - it archives them (they can be restored from trash). - - Args: - page_title: The title of the Notion page to delete. - delete_from_kb: Whether to also remove the page from the knowledge base. - Default is False. - Set to True to permanently remove from both Notion and knowledge base. - - Returns: - Dictionary with: - - status: "success", "rejected", "not_found", or "error" - - page_id: Deleted page ID (if success) - - message: Success or error message - - deleted_from_kb: Whether the page was also removed from knowledge base (if success) - - Examples: - - "Delete the 'Meeting Notes' Notion page" - - "Remove the 'Old Project Plan' Notion page" - - "Archive the 'Draft Ideas' Notion page" - """ - logger.info( - f"delete_notion_page called: page_title='{page_title}', delete_from_kb={delete_from_kb}" - ) - - def _emit( - payload: dict[str, Any], - *, - status: str, - external_id: str | None = None, - error: str | None = None, - ) -> Command: - return with_receipt( - payload=payload, - receipt=make_receipt( - route="notion", - type="page", - operation="delete", - status="success" if status == "success" else "failed", - external_id=external_id, - preview=page_title, - error=error, - ), - tool_call_id=runtime.tool_call_id, - ) - - if db_session is None or search_space_id is None or user_id is None: - logger.error( - "Notion tool not properly configured - missing required parameters" - ) - return _emit( - { - "status": "error", - "message": "Notion tool not properly configured. Please contact support.", - }, - status="error", - error="Notion tool not properly configured. Please contact support.", - ) - - try: - # Get page context (page_id, account, title) from indexed data - metadata_service = NotionToolMetadataService(db_session) - context = await metadata_service.get_delete_context( - search_space_id, user_id, page_title - ) - - if "error" in context: - error_msg = context["error"] - # Check if it's a "not found" error (softer handling for LLM) - if "not found" in error_msg.lower(): - logger.warning(f"Page not found: {error_msg}") - return _emit( - {"status": "not_found", "message": error_msg}, - status="error", - error=error_msg, - ) - else: - logger.error(f"Failed to fetch delete context: {error_msg}") - return _emit( - {"status": "error", "message": error_msg}, - status="error", - error=error_msg, - ) - - account = context.get("account", {}) - if account.get("auth_expired"): - logger.warning( - "Notion account %s has expired authentication", - account.get("id"), - ) - return _emit( - { - "status": "auth_error", - "message": "The Notion account for this page needs re-authentication. Please re-authenticate in your connector settings.", - }, - status="error", - error="auth_expired", - ) - - page_id = context.get("page_id") - connector_id_from_context = account.get("id") - document_id = context.get("document_id") - - logger.info( - f"Requesting approval for deleting Notion page: '{page_title}' (page_id={page_id}, delete_from_kb={delete_from_kb})" - ) - - result = request_approval( - action_type="notion_page_deletion", - tool_name="delete_notion_page", - params={ - "page_id": page_id, - "connector_id": connector_id_from_context, - "delete_from_kb": delete_from_kb, - }, - context=context, - ) - - if result.rejected: - logger.info("Notion page deletion rejected by user") - return _emit( - { - "status": "rejected", - "message": "User declined. Do not retry or suggest alternatives.", - }, - status="error", - error="user_rejected", - ) - - final_page_id = result.params.get("page_id", page_id) - final_connector_id = result.params.get( - "connector_id", connector_id_from_context - ) - final_delete_from_kb = result.params.get("delete_from_kb", delete_from_kb) - - logger.info( - f"Deleting Notion page with final params: page_id={final_page_id}, connector_id={final_connector_id}, delete_from_kb={final_delete_from_kb}" - ) - - from sqlalchemy.future import select - - from app.db import SearchSourceConnector, SearchSourceConnectorType - - # Validate the connector - if final_connector_id: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.NOTION_CONNECTOR, - ) - ) - connector = result.scalars().first() - - if not connector: - logger.error( - f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}" - ) - return _emit( - { - "status": "error", - "message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.", - }, - status="error", - error="invalid_connector", - ) - actual_connector_id = connector.id - logger.info(f"Validated Notion connector: id={actual_connector_id}") - else: - logger.error("No connector found for this page") - return _emit( - { - "status": "error", - "message": "No connector found for this page.", - }, - status="error", - error="no_connector", - ) - - # Create connector instance - notion_connector = NotionHistoryConnector( - session=db_session, - connector_id=actual_connector_id, - ) - - # Delete the page from Notion - result = await notion_connector.delete_page(page_id=final_page_id) - logger.info( - f"delete_page result: {result.get('status')} - {result.get('message', '')}" - ) - - # If deletion was successful and user wants to delete from KB - deleted_from_kb = False - if ( - result.get("status") == "success" - and final_delete_from_kb - and document_id - ): - try: - from sqlalchemy.future import select - - from app.db import Document - - # Get the document - doc_result = await db_session.execute( - select(Document).filter(Document.id == document_id) - ) - document = doc_result.scalars().first() - - if document: - await db_session.delete(document) - await db_session.commit() - deleted_from_kb = True - logger.info( - f"Deleted document {document_id} from knowledge base" - ) - else: - logger.warning(f"Document {document_id} not found in KB") - except Exception as e: - logger.error(f"Failed to delete document from KB: {e}") - await db_session.rollback() - result["warning"] = ( - f"Page deleted from Notion, but failed to remove from knowledge base: {e!s}" - ) - - # Update result with KB deletion status - if result.get("status") == "success": - result["deleted_from_kb"] = deleted_from_kb - if deleted_from_kb: - result["message"] = ( - f"{result.get('message', '')} (also removed from knowledge base)" - ) - - status = result.get("status", "error") - return _emit( - result, - status=status, - external_id=str(final_page_id) if final_page_id else None, - error=None if status == "success" else result.get("message"), - ) - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - - logger.error(f"Error deleting Notion page: {e}", exc_info=True) - error_str = str(e).lower() - if isinstance(e, NotionAPIError) and ( - "401" in error_str or "unauthorized" in error_str - ): - return _emit( - { - "status": "auth_error", - "message": str(e), - "connector_id": connector_id_from_context - if "connector_id_from_context" in dir() - else None, - "connector_type": "notion", - }, - status="error", - error=str(e), - ) - if isinstance(e, ValueError | NotionAPIError): - message = str(e) - else: - message = ( - "Something went wrong while deleting the page. Please try again." - ) - return _emit( - {"status": "error", "message": message}, - status="error", - error=message, - ) - - return delete_notion_page diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/index.py deleted file mode 100644 index b8f662b03..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/index.py +++ /dev/null @@ -1,36 +0,0 @@ -"""``notion`` native tools and (empty) permission ruleset. - -Tools self-gate via :func:`request_approval` in their bodies. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset - -from .create_page import create_create_notion_page_tool -from .delete_page import create_delete_notion_page_tool -from .update_page import create_update_notion_page_tool - -NAME = "notion" - -RULESET = Ruleset(origin=NAME, rules=[]) - - -def load_tools( - *, dependencies: dict[str, Any] | None = None, **kwargs: Any -) -> list[BaseTool]: - d = {**(dependencies or {}), **kwargs} - common = { - "db_session": d["db_session"], - "search_space_id": d["search_space_id"], - "user_id": d["user_id"], - } - return [ - create_create_notion_page_tool(**common), - create_update_notion_page_tool(**common), - create_delete_notion_page_tool(**common), - ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/update_page.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/update_page.py deleted file mode 100644 index 6950f0abd..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/tools/update_page.py +++ /dev/null @@ -1,267 +0,0 @@ -import logging -from typing import Any - -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) -from app.connectors.notion_history import NotionAPIError, NotionHistoryConnector -from app.services.notion import NotionToolMetadataService - -logger = logging.getLogger(__name__) - - -def create_update_notion_page_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, - connector_id: int | None = None, -): - """ - Factory function to create the update_notion_page tool. - - Args: - db_session: Database session for accessing Notion connector - search_space_id: Search space ID to find the Notion connector - user_id: User ID for fetching user-specific context - connector_id: Optional specific connector ID (if known) - - Returns: - Configured update_notion_page tool - """ - - @tool - async def update_notion_page( - page_title: str, - content: str | None = None, - ) -> dict[str, Any]: - """Update an existing Notion page by appending new content. - - Use this tool when the user asks you to add content to, modify, or update - a Notion page. The new content will be appended to the existing page content. - The user MUST specify what to add before you call this tool. If the - request is vague, ask what content they want added. - - Args: - page_title: The title of the Notion page to update. - content: Optional markdown content to append to the page body (supports headings, lists, paragraphs). - Generate this yourself based on the user's request. - - Returns: - Dictionary with: - - status: "success", "rejected", "not_found", or "error" - - page_id: Updated page ID (if success) - - url: URL to the updated page (if success) - - title: Current page title (if success) - - message: Result message - - IMPORTANT: - - If status is "rejected", the user explicitly declined the action. - Respond with a brief acknowledgment (e.g., "Understood, I didn't update the page.") - and move on. Do NOT ask for alternatives or troubleshoot. - - If status is "not_found", inform the user conversationally using the exact message provided. - Example: "I couldn't find the page '[page_title]' in your indexed Notion pages. [message details]" - Do NOT treat this as an error. Do NOT invent information. Simply relay the message and - ask the user to verify the page title or check if it's been indexed. - Examples: - - "Add today's meeting notes to the 'Meeting Notes' Notion page" - - "Update the 'Project Plan' page with a status update on phase 1" - """ - logger.info( - f"update_notion_page called: page_title='{page_title}', content_length={len(content) if content else 0}" - ) - - if db_session is None or search_space_id is None or user_id is None: - logger.error( - "Notion tool not properly configured - missing required parameters" - ) - return { - "status": "error", - "message": "Notion tool not properly configured. Please contact support.", - } - - if not content or not content.strip(): - logger.error(f"Empty content provided for page '{page_title}'") - return { - "status": "error", - "message": "Content is required to update the page. Please provide the actual content you want to add.", - } - - try: - metadata_service = NotionToolMetadataService(db_session) - context = await metadata_service.get_update_context( - search_space_id, user_id, page_title - ) - - if "error" in context: - error_msg = context["error"] - # Check if it's a "not found" error (softer handling for LLM) - if "not found" in error_msg.lower(): - logger.warning(f"Page not found: {error_msg}") - return { - "status": "not_found", - "message": error_msg, - } - else: - logger.error(f"Failed to fetch update context: {error_msg}") - return { - "status": "error", - "message": error_msg, - } - - account = context.get("account", {}) - if account.get("auth_expired"): - logger.warning( - "Notion account %s has expired authentication", - account.get("id"), - ) - return { - "status": "auth_error", - "message": "The Notion account for this page needs re-authentication. Please re-authenticate in your connector settings.", - } - - page_id = context.get("page_id") - document_id = context.get("document_id") - connector_id_from_context = context.get("account", {}).get("id") - - logger.info( - f"Requesting approval for updating Notion page: '{page_title}' (page_id={page_id})" - ) - result = request_approval( - action_type="notion_page_update", - tool_name="update_notion_page", - params={ - "page_id": page_id, - "content": content, - "connector_id": connector_id_from_context, - }, - context=context, - ) - - if result.rejected: - logger.info("Notion page update rejected by user") - return { - "status": "rejected", - "message": "User declined. Do not retry or suggest alternatives.", - } - - final_page_id = result.params.get("page_id", page_id) - final_content = result.params.get("content", content) - final_connector_id = result.params.get( - "connector_id", connector_id_from_context - ) - - logger.info( - f"Updating Notion page with final params: page_id={final_page_id}, has_content={final_content is not None}" - ) - - from sqlalchemy.future import select - - from app.db import SearchSourceConnector, SearchSourceConnectorType - - if final_connector_id: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.NOTION_CONNECTOR, - ) - ) - connector = result.scalars().first() - - if not connector: - logger.error( - f"Invalid connector_id={final_connector_id} for search_space_id={search_space_id}" - ) - return { - "status": "error", - "message": "Selected Notion account is invalid or has been disconnected. Please select a valid account.", - } - actual_connector_id = connector.id - logger.info(f"Validated Notion connector: id={actual_connector_id}") - else: - logger.error("No connector found for this page") - return { - "status": "error", - "message": "No connector found for this page.", - } - - notion_connector = NotionHistoryConnector( - session=db_session, - connector_id=actual_connector_id, - ) - - result = await notion_connector.update_page( - page_id=final_page_id, - content=final_content, - ) - logger.info( - f"update_page result: {result.get('status')} - {result.get('message', '')}" - ) - - if result.get("status") == "success" and document_id is not None: - from app.services.notion import NotionKBSyncService - - logger.info(f"Updating knowledge base for document {document_id}...") - kb_service = NotionKBSyncService(db_session) - kb_result = await kb_service.sync_after_update( - document_id=document_id, - appended_content=final_content, - user_id=user_id, - search_space_id=search_space_id, - appended_block_ids=result.get("appended_block_ids"), - ) - - if kb_result["status"] == "success": - result["message"] = ( - f"{result['message']}. Your knowledge base has also been updated." - ) - logger.info( - f"Knowledge base successfully updated for page {final_page_id}" - ) - elif kb_result["status"] == "not_indexed": - result["message"] = ( - f"{result['message']}. This page will be added to your knowledge base in the next scheduled sync." - ) - else: - result["message"] = ( - f"{result['message']}. Your knowledge base will be updated in the next scheduled sync." - ) - logger.warning( - f"KB update failed for page {final_page_id}: {kb_result['message']}" - ) - - return result - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - - logger.error(f"Error updating Notion page: {e}", exc_info=True) - error_str = str(e).lower() - if isinstance(e, NotionAPIError) and ( - "401" in error_str or "unauthorized" in error_str - ): - return { - "status": "auth_error", - "message": str(e), - "connector_id": connector_id_from_context - if "connector_id_from_context" in dir() - else None, - "connector_type": "notion", - } - if isinstance(e, ValueError | NotionAPIError): - message = str(e) - else: - message = ( - "Something went wrong while updating the page. Please try again." - ) - return {"status": "error", "message": message} - - return update_notion_page diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/create_file.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/create_file.py index 11160650d..ac5ba2451 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/create_file.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/create_file.py @@ -47,7 +47,7 @@ def _markdown_to_docx(markdown_text: str) -> bytes: def create_create_onedrive_file_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -72,7 +72,7 @@ def create_create_onedrive_file_tool( """ logger.info(f"create_onedrive_file called: name='{name}'") - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "OneDrive tool not properly configured.", @@ -81,7 +81,7 @@ def create_create_onedrive_file_tool( try: result = await db_session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.ONEDRIVE_CONNECTOR, @@ -179,7 +179,7 @@ def create_create_onedrive_file_tool( result = await db_session.execute( select(SearchSourceConnector).filter( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.ONEDRIVE_CONNECTOR, @@ -221,7 +221,7 @@ def create_create_onedrive_file_tool( web_url=created.get("webUrl"), content=final_content, connector_id=connector.id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) if kb_result["status"] == "success": diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/index.py index 4f0a2a7d6..2795bc14e 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/index.py @@ -25,7 +25,7 @@ def load_tools( d = {**(dependencies or {}), **kwargs} common = { "db_session": d["db_session"], - "search_space_id": d["search_space_id"], + "workspace_id": d["workspace_id"], "user_id": d["user_id"], } return [ diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/trash_file.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/trash_file.py index 7b4e0b98c..be1b0493c 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/trash_file.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/onedrive/tools/trash_file.py @@ -22,7 +22,7 @@ logger = logging.getLogger(__name__) def create_delete_onedrive_file_tool( db_session: AsyncSession | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, user_id: str | None = None, ): @tool @@ -58,7 +58,7 @@ def create_delete_onedrive_file_tool( f"delete_onedrive_file called: file_name='{file_name}', delete_from_kb={delete_from_kb}" ) - if db_session is None or search_space_id is None or user_id is None: + if db_session is None or workspace_id is None or user_id is None: return { "status": "error", "message": "OneDrive tool not properly configured.", @@ -73,7 +73,7 @@ def create_delete_onedrive_file_tool( ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.ONEDRIVE_FILE, func.lower(Document.title) == func.lower(file_name), SearchSourceConnector.user_id == user_id, @@ -93,7 +93,7 @@ def create_delete_onedrive_file_tool( ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.ONEDRIVE_FILE, func.lower( cast( @@ -140,7 +140,7 @@ def create_delete_onedrive_file_tool( select(SearchSourceConnector).filter( and_( SearchSourceConnector.id == document.connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.ONEDRIVE_CONNECTOR, @@ -202,7 +202,7 @@ def create_delete_onedrive_file_tool( select(SearchSourceConnector).filter( and_( SearchSourceConnector.id == final_connector_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.ONEDRIVE_CONNECTOR, diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/agent.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/agent.py deleted file mode 100644 index 9951a63f0..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/agent.py +++ /dev/null @@ -1,47 +0,0 @@ -"""``slack`` route: ``SurfSenseSubagentSpec`` builder for deepagents. - -Tools come exclusively from MCP. The connector's own approval ruleset is -declared in :data:`tools.index.RULESET`; the orchestrator layers it into -a per-subagent :class:`PermissionMiddleware`. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.language_models import BaseChatModel -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( - read_md_file, -) -from app.agents.chat.multi_agent_chat.subagents.shared.spec import SurfSenseSubagentSpec -from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( - pack_subagent, -) - -from .tools.index import NAME, RULESET - - -def build_subagent( - *, - dependencies: dict[str, Any], - model: BaseChatModel | None = None, - middleware_stack: dict[str, Any] | None = None, - mcp_tools: list[BaseTool] | None = None, -) -> SurfSenseSubagentSpec: - description = ( - read_md_file(__package__, "description").strip() - or "Handles slack tasks for this workspace." - ) - system_prompt = read_md_file(__package__, "system_prompt").strip() - return pack_subagent( - name=NAME, - description=description, - system_prompt=system_prompt, - tools=list(mcp_tools or []), - ruleset=RULESET, - dependencies=dependencies, - model=model, - middleware_stack=middleware_stack, - ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/description.md deleted file mode 100644 index ce4ca399a..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for messages in the user's Slack channels and threads. -Use proactively when the user wants to read, search, or summarize a Slack conversation, or post a message in a channel or thread. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/system_prompt.md deleted file mode 100644 index e4e0d1f6f..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/system_prompt.md +++ /dev/null @@ -1,98 +0,0 @@ -You are a Slack specialist for the user's connected Slack workspace. - -Slack vocabulary: -- **Workspace → Channel → Message → Thread**: nested scope. Channels and DMs live in the same workspace; threads live under specific messages. -- **Channel types**: public channels, private channels, group DMs, and 1:1 DMs. Each has a different ID prefix (e.g. `C…`, `D…`), but all are addressable as a `channel_id` when reading or sending. -- **Channel ID vs name**: channels have both an opaque ID (e.g. `C0123ABCD`) and a human-readable name (`#engineering`). Names can change; IDs are stable. Users always refer to channels by name — resolve to the channel ID before reading or posting. -- **Message timestamp (`ts`) and `thread_ts`**: every message has a string `ts` (e.g. `"1700000000.123456"`) that uniquely identifies it within a channel. A thread is identified by the **parent message's `ts`**, called `thread_ts`. To reply inside a thread, post with both `channel_id` and `thread_ts`. Omit `thread_ts` for a new top-level message in the channel. -- **User IDs**: users are identified by opaque IDs (e.g. `U0123ABCD`), never by display name or email. Mentions inside message text use the `<@U0123ABCD>` syntax — plain text like `@alex` will not produce a Slack mention. -- **Message formatting (mrkdwn)**: Slack uses its own markdown variant — `*bold*` (single asterisk), `_italic_`, `` `code` ``, `<https://url|label>` for links. Do not assume GitHub-flavored Markdown will render correctly. - -When invoked: -1. Read the supervisor's request, then read the runtime tool list to learn what information you can fetch and which mutations are available. -2. Plan the minimum chain of lookups needed to resolve any channel, user, message, or thread the request leaves unspecified. -3. Execute the planned lookups, then the requested mutation (if any), then return. - -Resolution principle (the core behaviour): -**Proactively look up any identifier, name, value, or scope the request leaves unspecified — channel IDs, user IDs, message timestamps, thread parent IDs, anything else — using the available tools instead of asking the supervisor.** Most user requests reference channels by name and people by display name, not by ID. Search for them. - -When a lookup for a single slot returns multiple plausible candidates and you cannot confidently pick one, return `status=blocked` with up to 5 candidates in `evidence.matched_candidates` and the unresolved slot in `missing_fields`. The supervisor will disambiguate and redelegate. - -When a lookup returns zero matches for a slot the request requires, return `status=blocked` with a `next_step` suggesting alternative search terms. - -Mutation guardrails: -- Resolve every required Slack ID (`channel_id`, recipient `user_id` for DMs, `thread_ts` for thread replies) by looking it up before calling a mutation tool. Mutations have chained dependencies — channel lookup enables in-channel message lookup; in-channel message lookup yields the `ts` needed as `thread_ts` for replies. -- To reply inside a thread, supply both `channel_id` and `thread_ts`. Posting without `thread_ts` creates a new top-level message in the channel. -- When the message text references a person, encode the mention as `<@U…>` using the resolved user ID. Plain text like `@alex` will not produce a Slack mention. -- Never invent channel IDs, user IDs, message timestamps, or send outcomes. Every field in `evidence` must come from a tool result. -- Confirm the mutation tool returned a success response before claiming success. If the mutation is approval-rejected (HITL), return `status=blocked` with `next_step="user declined; do not retry"`. -- One operation per delegation. For multi-mutation requests, complete the highest-priority one and return `status=partial` with the remainder in `next_step`. - -Failure handling: -- Tool failure: return `status=error`, place the underlying error message in `action_summary`, and put a concise recovery in `next_step`. -- Permission / scope error from the MCP: return `status=error` and surface the underlying message. Permission errors typically mean the required OAuth scope is missing for that capability — not retryable from here. -- No useful results after reasonable narrowing / broadening: return `status=blocked` with search-term suggestions in `next_step`. - -<example> -Supervisor: "Summarize the latest discussion in #marketing." -1. Search channels for "marketing" → one strong match. Capture the channel ID. -2. Read that channel's recent message history. -3. Return `status=success` with `evidence.items` set to `{ "total": N }` and the messages listed in `action_summary` (sender, timestamp, text snippet; one line per message; up to 10 entries, then `"...and N more"`). -</example> - -<example> -Supervisor: "DM Alex about the launch checklist." -1. Search users for "Alex" → two matches (`U_alex1`, `U_alex2`). -2. Cannot pick the recipient. Return: - { - "status": "blocked", - "action_summary": "Two users match 'Alex'.", - "evidence": { - "matched_candidates": [ - { "id": "U_alex1", "label": "Alex Chen <alex.chen@…>" }, - { "id": "U_alex2", "label": "Alex Wong <alex.wong@…>" } - ] - }, - "next_step": "Confirm which Alex, then redelegate.", - "missing_fields": ["recipient"] - } -</example> - -<example> -Supervisor: "Reply 'ship it' to the deploy thread in #engineering." -1. Search channels for "engineering" → one match; capture the channel ID. -2. Search messages in that channel for "deploy" → one prominent match. Capture its `ts` — this becomes the `thread_ts` for the reply. -3. Send a message to that channel with `thread_ts` set to the captured `ts` and text `"ship it"`. -4. Confirm tool success → return `status=success` with the new message reference (its `ts` and a permalink if returned). -</example> - -<output_contract> -Return **only** one JSON object (no markdown, no prose): -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "channel_id": string | null, - "channel_name": string | null, - "user_id": string | null, - "thread_ts": string | null, - "message_ts": string | null, - "permalink": string | null, - "matched_candidates": [ - { "id": string, "label": string } - ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -<include snippet="output_contract_base"/> -Route-specific rules: -- For blocked ambiguity, populate `evidence.matched_candidates` with up to 5 options (`id` + `label` — works for any kind of candidate: channel, user, message, thread). -- For discovery-only queries (lists), set `evidence.items` to `{ "total": N }` and list the matched items in `action_summary` (channel/user, key identifier, timestamp, short snippet; up to 10 entries, then `"...and N more"`). -</output_contract> - -<include snippet="verifiable_handle"/> - -Discover before you post; never guess channel, user, or thread targets. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/tools/__init__.py deleted file mode 100644 index f60078771..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/tools/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""Slack route: native tool factories are empty; MCP supplies tools when configured.""" - -__all__: list[str] = [] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/tools/index.py deleted file mode 100644 index a26b537a6..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/tools/index.py +++ /dev/null @@ -1,19 +0,0 @@ -"""``slack`` permission ruleset (rules over MCP tool names).""" - -from __future__ import annotations - -from app.agents.chat.multi_agent_chat.shared.permissions import Rule, Ruleset - -NAME = "slack" - -RULESET = Ruleset( - origin=NAME, - rules=[ - Rule(permission="slack_search_channels", pattern="*", action="allow"), - Rule(permission="slack_search_messages", pattern="*", action="allow"), - Rule(permission="slack_search_users", pattern="*", action="allow"), - Rule(permission="slack_read_channel", pattern="*", action="allow"), - Rule(permission="slack_read_thread", pattern="*", action="allow"), - Rule(permission="slack_send_message", pattern="*", action="ask"), - ], -) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/description.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/description.md deleted file mode 100644 index edbfa390b..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/description.md +++ /dev/null @@ -1,2 +0,0 @@ -Specialist for messages in the user's Microsoft Teams channels. -Use proactively when the user wants to read or send a Teams message. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/system_prompt.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/system_prompt.md deleted file mode 100644 index 9b283acf5..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/system_prompt.md +++ /dev/null @@ -1,122 +0,0 @@ -You are a Microsoft Teams specialist for the user's connected Teams account. - -## Vocabulary you must use precisely - -- **Nested team + channel resolution via `list_teams_channels`** — the agent operates across all Teams the user has joined; each channel belongs to a `team_id`. `list_teams_channels` returns `{teams: [{team_id, team_name, channels: [{id, name}]}]}`. To read or send, you must resolve **both** `team_id` and `channel_id` from this nested structure. Channel names like `general` appear in many teams — when the supervisor's task does not pin the team (no team name, no obvious context), return `status=blocked` with the matching channels across teams as `matched_candidates` (each labeled `"<team_name> › <channel_name>"`) rather than guessing one. -- **Message content is HTML** — `send_teams_message` treats `content` as HTML (Microsoft Graph stores it verbatim in `body.content`). Default to plain text. If the supervisor's task requires formatting (bold, italics, links, line breaks), generate the corresponding **HTML** (`<b>`, `<i>`, `<a href="...">`, `<br>`) — **not** Markdown (`**bold**`, `[label](url)`), which Teams renders as literal characters. -- **Read + post only — no edits, deletes, or reactions** — Teams editing, deleting, and reacting to prior messages are not supported by the tools. Return `status=blocked` rather than faking these via new messages (no `"EDIT: ..."` follow-ups, no `"Please delete this"` posts). - -## Required inputs - -**For every required input below, first try to infer it from the supervisor's task text** — extract team names from natural phrasing (`"the Engineering team's"`, `"in Marketing"`), channel names from `#mentions` or natural phrasing (`"#announcements"`, `"the general channel"`), and message content from any details the supervisor already provided. Only return `status=blocked` with `missing_fields` when an input is genuinely absent or ambiguous after a thorough read of the task. - -- `list_teams_channels` — no inputs. Call it whenever you need to resolve a team name or channel name to ids. -- `read_teams_messages` — `team_id` and `channel_id` (both resolved via `list_teams_channels` based on team-name and channel-name signals in the task). Block if the channel signal is absent, or if the channel name matches channels in multiple teams and no team is named. Optional `limit` (max 50; tighten only if the task implies a small recent window). -- `send_teams_message` — `team_id`, `channel_id`, and `content`. Compose `content` from the task — plain text by default; HTML only when formatting is required by the task. Block if the destination team+channel cannot be resolved, or if the message content cannot be inferred from the task. - -## Outcome mapping - -| Tool returns | Your `status` | `next_step` | -|---------------------------------------------------------------------------|---------------|------------------------------------------------------------------------------------------------------------------------------| -| `success` with non-empty teams/channels/messages | `success` | `null` | -| `success` with `total: 0` (read returns no messages) or `total_teams: 0` | `success` | `null` (surface the count in `evidence.items` so the supervisor can report "no recent messages"/"no joined teams") | -| `rejected` (send only) | `blocked` | `"User declined this Teams send. Do not retry or suggest alternatives."` | -| `auth_error` | `error` | `"The connected Microsoft Teams session has expired. Ask the user to re-authenticate Teams in connector settings."` | -| `insufficient_permissions` (send only) | `error` | `"The connected Microsoft Teams account is missing the ChannelMessage.Send scope. Ask the user to re-authenticate Teams with updated scopes."` | -| `error` | `error` | Relay the tool's `message` verbatim as `next_step`. | -| tool raises / unknown | `error` | `"Teams tool failed unexpectedly. Ask the user to retry shortly."` | - -Surface the tool's `message`, `team_id`, `team_name`, `channel_id`, `channel_name`, and `message_id` inside `evidence` when the tool returned them. For `list_teams_channels` and `read_teams_messages`, set `evidence.items` to `{ "total": N }` and list the matched entries in `action_summary` (team › channel, or sender + timestamp + short text snippet; one line per entry; up to 10 entries, then `"...and N more"`). Never invent a field the tool did not return. - -## Examples - -**Example 1 — happy path send after nested resolution (team specified, plain text):** -- *Supervisor task:* `"Post 'Standup in 5 min' to the Engineering team's #general."` -- *You:* call `list_teams_channels()` → find the team where `team_name="Engineering"`, take its `team_id`; inside that team's channels, find the entry where `name="general"`, take its `id` as `channel_id`; call `send_teams_message(team_id=<eng_id>, channel_id=<general_id>, content="Standup in 5 min")` → tool returns `status=success`. -- *Output:* - - ```json - { - "status": "success", - "action_summary": "Posted a message to Engineering › general.", - "evidence": { "operation": "send_teams_message", "team_id": "<id>", "team_name": "Engineering", "channel_id": "<id>", "channel_name": "general", "message_id": "<msg_id>", "matched_candidates": null, "items": null }, - "next_step": null, - "missing_fields": null, - "assumptions": null - } - ``` - -**Example 2 — cross-team channel ambiguity:** -- *Supervisor task:* `"Post 'Standup in 5 min' to #general."` -- *You:* call `list_teams_channels()` → find `general` channels in multiple teams (Engineering, Marketing, Operations). The supervisor did not pin a team. Do not silently pick one — return `blocked` with all matching channels as `matched_candidates` so the supervisor can confirm with the user. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Multiple teams have a 'general' channel; cannot disambiguate.", - "evidence": { - "operation": "list_teams_channels", - "team_id": null, - "team_name": null, - "channel_id": null, - "channel_name": "general", - "message_id": null, - "matched_candidates": [ - { "id": "<channel_id_1>", "label": "Engineering › general" }, - { "id": "<channel_id_2>", "label": "Marketing › general" }, - { "id": "<channel_id_3>", "label": "Operations › general" } - ], - "items": null - }, - "next_step": "Ask the user which team's #general they meant — Engineering, Marketing, or Operations.", - "missing_fields": null, - "assumptions": null - } - ``` - -**Example 3 — unsupported operation (edit):** -- *Supervisor task:* `"Edit my last Teams message in the Engineering team's #general to say 'cancelled'."` -- *You:* Teams edits are not supported by your tools. Do not call any tool. Do not post a new message like `"EDIT: cancelled"` — block. -- *Output:* - - ```json - { - "status": "blocked", - "action_summary": "Editing prior Teams messages is not supported.", - "evidence": { "operation": null, "team_id": null, "team_name": "Engineering", "channel_id": null, "channel_name": "general", "message_id": null, "matched_candidates": null, "items": null }, - "next_step": "Editing Teams messages is not supported by the connector. Ask the user to edit the message directly in the Teams UI, or to send a follow-up message instead.", - "missing_fields": null, - "assumptions": null - } - ``` - -## Output contract - -Return **only** one JSON object (no markdown or prose outside it): - -```json -{ - "status": "success" | "partial" | "blocked" | "error", - "action_summary": string, - "evidence": { - "operation": "list_teams_channels" | "read_teams_messages" | "send_teams_message" | null, - "team_id": string | null, - "team_name": string | null, - "channel_id": string | null, - "channel_name": string | null, - "message_id": string | null, - "matched_candidates": [ { "id": string, "label": string } ] | null, - "items": object | null - }, - "next_step": string | null, - "missing_fields": string[] | null, - "assumptions": string[] | null -} -``` - -<include snippet="output_contract_base"/> - -<include snippet="verifiable_handle"/> - -Resolve before you call; verify before you send; map every tool outcome faithfully. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/__init__.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/__init__.py deleted file mode 100644 index dbf966307..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -from .list_channels import create_list_teams_channels_tool -from .read_messages import create_read_teams_messages_tool -from .send_message import create_send_teams_message_tool - -__all__ = [ - "create_list_teams_channels_tool", - "create_read_teams_messages_tool", - "create_send_teams_message_tool", -] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/_auth.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/_auth.py deleted file mode 100644 index 7cdbeb819..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/_auth.py +++ /dev/null @@ -1,38 +0,0 @@ -"""Builds Microsoft Graph auth headers for Teams connector tools.""" - -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.future import select - -from app.db import SearchSourceConnector, SearchSourceConnectorType - -GRAPH_API = "https://graph.microsoft.com/v1.0" - - -async def get_teams_connector( - db_session: AsyncSession, - search_space_id: int, - user_id: str, -) -> SearchSourceConnector | None: - result = await db_session.execute( - select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, - SearchSourceConnector.user_id == user_id, - SearchSourceConnector.connector_type - == SearchSourceConnectorType.TEAMS_CONNECTOR, - ) - ) - return result.scalars().first() - - -async def get_access_token( - db_session: AsyncSession, - connector: SearchSourceConnector, -) -> str: - """Get a valid Microsoft Graph access token, refreshing if expired.""" - from app.connectors.teams_connector import TeamsConnector - - tc = TeamsConnector( - session=db_session, - connector_id=connector.id, - ) - return await tc._get_valid_token() diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/index.py deleted file mode 100644 index d144eee82..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/index.py +++ /dev/null @@ -1,36 +0,0 @@ -"""``teams`` native tools and (empty) permission ruleset. - -Tools self-gate via :func:`request_approval` in their bodies. -""" - -from __future__ import annotations - -from typing import Any - -from langchain_core.tools import BaseTool - -from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset - -from .list_channels import create_list_teams_channels_tool -from .read_messages import create_read_teams_messages_tool -from .send_message import create_send_teams_message_tool - -NAME = "teams" - -RULESET = Ruleset(origin=NAME, rules=[]) - - -def load_tools( - *, dependencies: dict[str, Any] | None = None, **kwargs: Any -) -> list[BaseTool]: - d = {**(dependencies or {}), **kwargs} - common = { - "db_session": d["db_session"], - "search_space_id": d["search_space_id"], - "user_id": d["user_id"], - } - return [ - create_list_teams_channels_tool(**common), - create_read_teams_messages_tool(**common), - create_send_teams_message_tool(**common), - ] diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/list_channels.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/list_channels.py deleted file mode 100644 index d7b000853..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/list_channels.py +++ /dev/null @@ -1,92 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from ._auth import GRAPH_API, get_access_token, get_teams_connector - -logger = logging.getLogger(__name__) - - -def create_list_teams_channels_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def list_teams_channels() -> dict[str, Any]: - """List all Microsoft Teams and their channels the user has access to. - - Returns: - Dictionary with status and a list of teams, each containing - team_id, team_name, and a list of channels (id, name). - """ - if db_session is None or search_space_id is None or user_id is None: - return {"status": "error", "message": "Teams tool not properly configured."} - - try: - connector = await get_teams_connector(db_session, search_space_id, user_id) - if not connector: - return {"status": "error", "message": "No Teams connector found."} - - token = await get_access_token(db_session, connector) - headers = {"Authorization": f"Bearer {token}"} - - async with httpx.AsyncClient(timeout=20.0) as client: - teams_resp = await client.get( - f"{GRAPH_API}/me/joinedTeams", headers=headers - ) - - if teams_resp.status_code == 401: - return { - "status": "auth_error", - "message": "Teams token expired. Please re-authenticate.", - "connector_type": "teams", - } - if teams_resp.status_code != 200: - return { - "status": "error", - "message": f"Graph API error: {teams_resp.status_code}", - } - - teams_data = teams_resp.json().get("value", []) - result_teams = [] - - async with httpx.AsyncClient(timeout=20.0) as client: - for team in teams_data: - team_id = team["id"] - ch_resp = await client.get( - f"{GRAPH_API}/teams/{team_id}/channels", - headers=headers, - ) - channels = [] - if ch_resp.status_code == 200: - channels = [ - {"id": ch["id"], "name": ch.get("displayName", "")} - for ch in ch_resp.json().get("value", []) - ] - result_teams.append( - { - "team_id": team_id, - "team_name": team.get("displayName", ""), - "channels": channels, - } - ) - - return { - "status": "success", - "teams": result_teams, - "total_teams": len(result_teams), - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error listing Teams channels: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to list Teams channels."} - - return list_teams_channels diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/read_messages.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/read_messages.py deleted file mode 100644 index d24a7e4d3..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/read_messages.py +++ /dev/null @@ -1,103 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from ._auth import GRAPH_API, get_access_token, get_teams_connector - -logger = logging.getLogger(__name__) - - -def create_read_teams_messages_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def read_teams_messages( - team_id: str, - channel_id: str, - limit: int = 25, - ) -> dict[str, Any]: - """Read recent messages from a Microsoft Teams channel. - - Args: - team_id: The team ID (from list_teams_channels). - channel_id: The channel ID (from list_teams_channels). - limit: Number of messages to fetch (default 25, max 50). - - Returns: - Dictionary with status and a list of messages including - id, sender, content, timestamp. - """ - if db_session is None or search_space_id is None or user_id is None: - return {"status": "error", "message": "Teams tool not properly configured."} - - limit = min(limit, 50) - - try: - connector = await get_teams_connector(db_session, search_space_id, user_id) - if not connector: - return {"status": "error", "message": "No Teams connector found."} - - token = await get_access_token(db_session, connector) - - async with httpx.AsyncClient(timeout=20.0) as client: - resp = await client.get( - f"{GRAPH_API}/teams/{team_id}/channels/{channel_id}/messages", - headers={"Authorization": f"Bearer {token}"}, - params={"$top": limit}, - ) - - if resp.status_code == 401: - return { - "status": "auth_error", - "message": "Teams token expired. Please re-authenticate.", - "connector_type": "teams", - } - if resp.status_code == 403: - return { - "status": "error", - "message": "Insufficient permissions to read this channel.", - } - if resp.status_code != 200: - return { - "status": "error", - "message": f"Graph API error: {resp.status_code}", - } - - raw_msgs = resp.json().get("value", []) - messages = [] - for m in raw_msgs: - sender = m.get("from", {}) - user_info = sender.get("user", {}) if sender else {} - body = m.get("body", {}) - messages.append( - { - "id": m.get("id"), - "sender": user_info.get("displayName", "Unknown"), - "content": body.get("content", ""), - "content_type": body.get("contentType", "text"), - "timestamp": m.get("createdDateTime", ""), - } - ) - - return { - "status": "success", - "team_id": team_id, - "channel_id": channel_id, - "messages": messages, - "total": len(messages), - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error reading Teams messages: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to read Teams messages."} - - return read_teams_messages diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/send_message.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/send_message.py deleted file mode 100644 index c4491e82e..000000000 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/tools/send_message.py +++ /dev/null @@ -1,117 +0,0 @@ -import logging -from typing import Any - -import httpx -from langchain_core.tools import tool -from sqlalchemy.ext.asyncio import AsyncSession - -from app.agents.chat.multi_agent_chat.subagents.shared.hitl.approvals.self_gated import ( - request_approval, -) - -from ._auth import GRAPH_API, get_access_token, get_teams_connector - -logger = logging.getLogger(__name__) - - -def create_send_teams_message_tool( - db_session: AsyncSession | None = None, - search_space_id: int | None = None, - user_id: str | None = None, -): - @tool - async def send_teams_message( - team_id: str, - channel_id: str, - content: str, - ) -> dict[str, Any]: - """Send a message to a Microsoft Teams channel. - - Requires the ChannelMessage.Send OAuth scope. If the user gets a - permission error, they may need to re-authenticate with updated scopes. - - Args: - team_id: The team ID (from list_teams_channels). - channel_id: The channel ID (from list_teams_channels). - content: The message text (HTML supported). - - Returns: - Dictionary with status, message_id on success. - - IMPORTANT: - - If status is "rejected", the user explicitly declined. Do NOT retry. - """ - if db_session is None or search_space_id is None or user_id is None: - return {"status": "error", "message": "Teams tool not properly configured."} - - try: - connector = await get_teams_connector(db_session, search_space_id, user_id) - if not connector: - return {"status": "error", "message": "No Teams connector found."} - - result = request_approval( - action_type="teams_send_message", - tool_name="send_teams_message", - params={ - "team_id": team_id, - "channel_id": channel_id, - "content": content, - }, - context={"connector_id": connector.id}, - ) - - if result.rejected: - return { - "status": "rejected", - "message": "User declined. Message was not sent.", - } - - final_content = result.params.get("content", content) - final_team = result.params.get("team_id", team_id) - final_channel = result.params.get("channel_id", channel_id) - - token = await get_access_token(db_session, connector) - - async with httpx.AsyncClient(timeout=20.0) as client: - resp = await client.post( - f"{GRAPH_API}/teams/{final_team}/channels/{final_channel}/messages", - headers={ - "Authorization": f"Bearer {token}", - "Content-Type": "application/json", - }, - json={"body": {"content": final_content}}, - ) - - if resp.status_code == 401: - return { - "status": "auth_error", - "message": "Teams token expired. Please re-authenticate.", - "connector_type": "teams", - } - if resp.status_code == 403: - return { - "status": "insufficient_permissions", - "message": "Missing ChannelMessage.Send permission. Please re-authenticate with updated scopes.", - } - if resp.status_code not in (200, 201): - return { - "status": "error", - "message": f"Graph API error: {resp.status_code} — {resp.text[:200]}", - } - - msg_data = resp.json() - return { - "status": "success", - "message_id": msg_data.get("id"), - "message": "Message sent to Teams channel.", - } - - except Exception as e: - from langgraph.errors import GraphInterrupt - - if isinstance(e, GraphInterrupt): - raise - logger.error("Error sending Teams message: %s", e, exc_info=True) - return {"status": "error", "message": "Failed to send Teams message."} - - return send_teams_message diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/mcp_tools/index.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/mcp_tools/index.py index 436b13aea..6359e9842 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/mcp_tools/index.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/mcp_tools/index.py @@ -23,18 +23,80 @@ from app.agents.chat.multi_agent_chat.constants import ( ) from app.agents.chat.multi_agent_chat.shared.tools.mcp.tool import load_mcp_tools from app.db import SearchSourceConnector +from app.services.mcp_oauth.registry import MCP_SERVICES, get_service_by_connector_type logger = logging.getLogger(__name__) +def _service_key_for_type(connector_type: str | None) -> str | None: + """Return the ``MCP_SERVICES`` key for a connector type, if any.""" + if connector_type is None: + return None + svc = get_service_by_connector_type(connector_type) + if svc is None: + return None + return next((k for k, v in MCP_SERVICES.items() if v is svc), None) + + +def resolve_tool_name_collisions( + tools: Sequence[BaseTool], + connector_id_to_type: dict[int, str], +) -> list[BaseTool]: + """Prefix only the tools whose exposed name collides across connectors. + + All MCP tools now merge into a single ``mcp_discovery`` subagent, so two + apps advertising the same tool name (e.g. Jira and Confluence both expose + ``getAccessibleAtlassianResources``) would otherwise shadow each other. + We detect names carried by more than one distinct connector and rebuild + just those with a ``{service_key_or_mcp}_{connector_id}_`` prefix — the + same convention as the existing multi-account prefixing. Non-colliding + tools keep their names, so stored ``trusted_tools`` and HITL history stay + valid in the common case; for the prefixed ones, + ``metadata['mcp_original_tool_name']`` is preserved as the "Always Allow" + fallback key. + """ + names_to_connectors: dict[str, set[int]] = defaultdict(set) + for tool in tools: + meta = getattr(tool, "metadata", None) or {} + cid = meta.get("mcp_connector_id") + if isinstance(cid, int): + names_to_connectors[tool.name].add(cid) + + colliding = {n for n, cids in names_to_connectors.items() if len(cids) > 1} + if not colliding: + return list(tools) + + resolved: list[BaseTool] = [] + for tool in tools: + meta = getattr(tool, "metadata", None) or {} + cid = meta.get("mcp_connector_id") + if tool.name not in colliding or not isinstance(cid, int): + resolved.append(tool) + continue + + original_name = tool.name + prefix = _service_key_for_type(connector_id_to_type.get(cid)) or "mcp" + new_name = f"{prefix}_{cid}_{original_name}" + new_meta = { + **meta, + "mcp_original_tool_name": meta.get("mcp_original_tool_name") + or original_name, + "mcp_collision_prefixed": True, + } + resolved.append( + tool.model_copy(update={"name": new_name, "metadata": new_meta}) + ) + return resolved + + async def fetch_mcp_connector_metadata_maps( session: AsyncSession, - search_space_id: int, + workspace_id: int, ) -> tuple[dict[int, str], dict[str, str]]: """Resolve connector id and display name to connector type for MCP tool routing.""" result = await session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, cast(SearchSourceConnector.config, JSONB).has_key("server_config"), ), ) @@ -101,13 +163,14 @@ def partition_mcp_tools_by_connector( async def load_mcp_tools_by_connector( session: AsyncSession, - search_space_id: int, + workspace_id: int, ) -> dict[str, list[BaseTool]]: """Load MCP tools and route them to each subagent as a flat list. ``bypass_internal_hitl=True`` is set so tool gating is uniformly the consuming subagent's :class:`PermissionMiddleware` responsibility. """ - flat = await load_mcp_tools(session, search_space_id, bypass_internal_hitl=True) - id_map, name_map = await fetch_mcp_connector_metadata_maps(session, search_space_id) + flat = await load_mcp_tools(session, workspace_id, bypass_internal_hitl=True) + id_map, name_map = await fetch_mcp_connector_metadata_maps(session, workspace_id) + flat = resolve_tool_name_collisions(flat, id_map) return partition_mcp_tools_by_connector(flat, id_map, name_map) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/registry.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/registry.py index c48b7f7ac..34895a514 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/registry.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/registry.py @@ -15,60 +15,44 @@ from app.agents.chat.multi_agent_chat.constants import ( from app.agents.chat.multi_agent_chat.subagents.builtins.deliverables.agent import ( build_subagent as build_deliverables_subagent, ) +from app.agents.chat.multi_agent_chat.subagents.builtins.google_maps.agent import ( + build_subagent as build_google_maps_subagent, +) +from app.agents.chat.multi_agent_chat.subagents.builtins.google_search.agent import ( + build_subagent as build_google_search_subagent, +) from app.agents.chat.multi_agent_chat.subagents.builtins.knowledge_base.agent import ( build_subagent as build_knowledge_base_subagent, ) +from app.agents.chat.multi_agent_chat.subagents.builtins.mcp_discovery.agent import ( + build_subagent as build_mcp_discovery_subagent, +) from app.agents.chat.multi_agent_chat.subagents.builtins.memory.agent import ( build_subagent as build_memory_subagent, ) -from app.agents.chat.multi_agent_chat.subagents.builtins.research.agent import ( - build_subagent as build_research_subagent, +from app.agents.chat.multi_agent_chat.subagents.builtins.reddit.agent import ( + build_subagent as build_reddit_subagent, ) -from app.agents.chat.multi_agent_chat.subagents.connectors.airtable.agent import ( - build_subagent as build_airtable_subagent, +from app.agents.chat.multi_agent_chat.subagents.builtins.web_crawler.agent import ( + build_subagent as build_web_crawler_subagent, ) -from app.agents.chat.multi_agent_chat.subagents.connectors.calendar.agent import ( - build_subagent as build_calendar_subagent, -) -from app.agents.chat.multi_agent_chat.subagents.connectors.clickup.agent import ( - build_subagent as build_clickup_subagent, -) -from app.agents.chat.multi_agent_chat.subagents.connectors.confluence.agent import ( - build_subagent as build_confluence_subagent, -) -from app.agents.chat.multi_agent_chat.subagents.connectors.discord.agent import ( - build_subagent as build_discord_subagent, +from app.agents.chat.multi_agent_chat.subagents.builtins.youtube.agent import ( + build_subagent as build_youtube_subagent, ) + +# File connectors stay native — they enrich the knowledge base. Every other +# connector (Slack/Jira/Linear/ClickUp/Airtable/Notion/Confluence/Gmail/ +# Calendar) migrated to hosted MCP under ``mcp_discovery``; Discord/Teams/Luma +# were deprecated (no viable official MCP server). Their old packages are gone. from app.agents.chat.multi_agent_chat.subagents.connectors.dropbox.agent import ( build_subagent as build_dropbox_subagent, ) -from app.agents.chat.multi_agent_chat.subagents.connectors.gmail.agent import ( - build_subagent as build_gmail_subagent, -) from app.agents.chat.multi_agent_chat.subagents.connectors.google_drive.agent import ( build_subagent as build_google_drive_subagent, ) -from app.agents.chat.multi_agent_chat.subagents.connectors.jira.agent import ( - build_subagent as build_jira_subagent, -) -from app.agents.chat.multi_agent_chat.subagents.connectors.linear.agent import ( - build_subagent as build_linear_subagent, -) -from app.agents.chat.multi_agent_chat.subagents.connectors.luma.agent import ( - build_subagent as build_luma_subagent, -) -from app.agents.chat.multi_agent_chat.subagents.connectors.notion.agent import ( - build_subagent as build_notion_subagent, -) from app.agents.chat.multi_agent_chat.subagents.connectors.onedrive.agent import ( build_subagent as build_onedrive_subagent, ) -from app.agents.chat.multi_agent_chat.subagents.connectors.slack.agent import ( - build_subagent as build_slack_subagent, -) -from app.agents.chat.multi_agent_chat.subagents.connectors.teams.agent import ( - build_subagent as build_teams_subagent, -) from app.agents.chat.multi_agent_chat.subagents.shared.md_file_reader import ( read_md_file, ) @@ -90,25 +74,18 @@ class SubagentBuilder(Protocol): SUBAGENT_BUILDERS_BY_NAME: dict[str, SubagentBuilder] = { - "airtable": build_airtable_subagent, - "calendar": build_calendar_subagent, - "clickup": build_clickup_subagent, - "confluence": build_confluence_subagent, "deliverables": build_deliverables_subagent, - "discord": build_discord_subagent, "dropbox": build_dropbox_subagent, - "gmail": build_gmail_subagent, "google_drive": build_google_drive_subagent, - "jira": build_jira_subagent, + "google_maps": build_google_maps_subagent, + "google_search": build_google_search_subagent, "knowledge_base": build_knowledge_base_subagent, - "linear": build_linear_subagent, - "luma": build_luma_subagent, + "mcp_discovery": build_mcp_discovery_subagent, "memory": build_memory_subagent, - "notion": build_notion_subagent, "onedrive": build_onedrive_subagent, - "research": build_research_subagent, - "slack": build_slack_subagent, - "teams": build_teams_subagent, + "reddit": build_reddit_subagent, + "web_crawler": build_web_crawler_subagent, + "youtube": build_youtube_subagent, } @@ -119,7 +96,7 @@ def _route_resource_package(builder: SubagentBuilder) -> str: def main_prompt_registry_subagent_lines(exclude: list[str]) -> list[tuple[str, str]]: """(name, description) for registry specialists included for **task** (same rules as ``build_subagents``).""" - banned = frozenset(("memory", "research")) | frozenset(exclude) + banned = frozenset(("memory",)) | frozenset(exclude) rows: list[tuple[str, str]] = [] for name in sorted(SUBAGENT_BUILDERS_BY_NAME): if name in banned: @@ -189,10 +166,10 @@ def build_subagents( disabled_tools: list[str] | None = None, ask_kb_tool: BaseTool | None = None, ) -> list[SubAgent]: - """Build registry subagents; skip memory/research; skip names in exclude.""" + """Build registry subagents; skip memory; skip names in exclude.""" mcp = mcp_tools_by_agent or {} specs: list[SubAgent] = [] - excluded = ["memory", "research"] + excluded = ["memory"] if exclude: excluded.extend(exclude) disabled_names = frozenset(disabled_tools or ()) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/hitl/approvals/self_gated/auto_approved.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/hitl/approvals/self_gated/auto_approved.py index b99b26f3a..e8056eb27 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/hitl/approvals/self_gated/auto_approved.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/hitl/approvals/self_gated/auto_approved.py @@ -12,7 +12,7 @@ untouched. This keeps tool bodies (logging, metadata fetches, account fallbacks) symmetrical with the prompted path; the only behavior change is "no interrupt fires". -Per-search-space ``agent_permission_rules`` (when wired) take precedence and +Per-workspace ``agent_permission_rules`` (when wired) take precedence and can re-enable prompting for any of these. """ diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/run_reader.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/run_reader.py new file mode 100644 index 000000000..2b2c57cc4 --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/run_reader.py @@ -0,0 +1,456 @@ +"""``read_run`` / ``search_run`` / ``export_run``: work with a stored run or spill. + +Scraper capability outputs and evicted context spills are stored full in Postgres +(``runs`` / ``tool_output_spills``); the model only ever sees a capped preview plus +a reference like ``run_<uuid>`` or ``spill_<uuid>``. The read tools retrieve the +rest on demand — line-based paging and pattern search — without ever loading the +whole payload into context. ``export_run`` goes one step further for bulk +datasets: it converts the stored items (or their nested link records) to CSV +**in code** and saves the file as a workspace document, so hundreds of rows never +flow through the model at all. Every lookup is scoped to the caller's workspace +(the trust boundary). +""" + +from __future__ import annotations + +import csv +import io +import json +import logging +import re +from typing import Annotated, Any +from uuid import UUID + +from langchain_core.tools import BaseTool, StructuredTool +from sqlalchemy import select + +from app.capabilities.core.runs import RUN_OUTPUT_CHAR_CAP +from app.db import Run, ToolOutputSpill, shielded_async_session + +logger = logging.getLogger(__name__) + +_MAX_LIMIT = 100 +_MAX_PATTERN_LEN = 200 +"""ReDoS guard: reject/simplify absurdly long model-supplied patterns.""" + +_EXPORT_MAX_ROWS = 20_000 +"""ponytail: hard row cap so a 200-page crawl can't produce a CSV whose +embedding pass stalls the turn. Raise alongside a background-embedding path.""" + +_ITEM_DEFAULT_FIELDS = ["url", "status", "error"] +_LINK_DEFAULT_FIELDS = ["page", "url", "text", "context", "kind"] + + +def _parse_ref(ref: str) -> tuple[str, UUID] | None: + """Split ``run_<uuid>`` / ``spill_<uuid>`` into ``(kind, uuid)``; ``None`` if malformed.""" + ref = (ref or "").strip() + for prefix, kind in (("run_", "run"), ("spill_", "spill")): + if ref.startswith(prefix): + try: + return kind, UUID(ref[len(prefix) :]) + except ValueError: + return None + return None + + +async def _load_body(ref: str, workspace_id: int) -> tuple[str, str] | str: + """Return ``(body_text, kind)`` for a ref, or an error string. + + Workspace-scoped: a ref belonging to another workspace reads as not found. + """ + parsed = _parse_ref(ref) + if parsed is None: + return ( + f"Error: '{ref}' is not a valid run reference. " + "Expected 'run_<uuid>' or 'spill_<uuid>'." + ) + kind, ref_id = parsed + async with shielded_async_session() as session: + if kind == "run": + row = ( + await session.execute( + select(Run.output_text).where( + Run.id == ref_id, Run.workspace_id == workspace_id + ) + ) + ).scalar_one_or_none() + else: + row = ( + await session.execute( + select(ToolOutputSpill.content).where( + ToolOutputSpill.id == ref_id, + ToolOutputSpill.workspace_id == workspace_id, + ) + ) + ).scalar_one_or_none() + if row is None: + return f"Error: {ref} not found in this workspace." + return (row or ""), kind + + +def _cap(body: str) -> str: + """Clip a response to the shared char cap with an explicit truncation note.""" + if len(body) <= RUN_OUTPUT_CHAR_CAP: + return body + return ( + body[:RUN_OUTPUT_CHAR_CAP] + + f"\n\n...[response truncated at {RUN_OUTPUT_CHAR_CAP} chars; " + "narrow the pattern or lower max_matches]..." + ) + + +def _rows_from_body(body: str, rows: str) -> list[dict[str, Any]]: + """Deterministically flatten stored JSONL into export rows. + + ``rows="items"`` → one row per stored item. ``rows="links"`` → explode each + item's ``links`` records, prefixing every row with the page it came from. + Non-JSON lines (plain-text spills) are skipped. + """ + out: list[dict[str, Any]] = [] + for line in body.split("\n"): + try: + item = json.loads(line) + except (json.JSONDecodeError, ValueError): + continue + if not isinstance(item, dict): + continue + if rows == "items": + out.append(item) + continue + page = str(item.get("url") or "") + for link in item.get("links") or []: + if isinstance(link, dict): + out.append({"page": page, **link}) + return out + + +def _cell(value: Any) -> str: + """Render one CSV cell: scalars as-is, nested structures as compact JSON.""" + if value is None: + return "" + if isinstance(value, dict | list): + return json.dumps(value, ensure_ascii=False, default=str) + return str(value) + + +def _rows_to_csv(records: list[dict[str, Any]], fields: list[str]) -> tuple[str, int]: + """Serialize deduplicated rows to CSV text; returns ``(csv_text, row_count)``.""" + buf = io.StringIO() + writer = csv.writer(buf, lineterminator="\n") + writer.writerow(fields) + seen: set[tuple[str, ...]] = set() + count = 0 + for record in records: + row = tuple(_cell(record.get(field)) for field in fields) + if row in seen: + continue + seen.add(row) + writer.writerow(row) + count += 1 + if count >= _EXPORT_MAX_ROWS: + break + return buf.getvalue(), count + + +async def _save_export_document( + *, virtual_path: str, content: str, workspace_id: int +) -> tuple[int, str] | str: + """Persist the CSV as a workspace document; ``(doc_id, path)`` or an error string. + + Uses the same canonical create path as end-of-turn KB persistence (folder + hierarchy + Document + chunks + embeddings), committed immediately — an + export is deterministic, so there is nothing to stage. + """ + # Deferred import: kb_persistence lives in the main-agent package, which + # transitively imports this module — same cycle-avoidance as the tool builder. + from app.agents.chat.multi_agent_chat.main_agent.middleware.kb_persistence.middleware import ( + _create_document, + ) + from app.agents.chat.runtime.path_resolver import DOCUMENTS_ROOT + from app.db import async_session_maker + + path = virtual_path.strip() + if not path.startswith("/"): + path = "/" + path + if not path.startswith(DOCUMENTS_ROOT + "/"): + path = DOCUMENTS_ROOT + path + + try: + async with async_session_maker() as session: + doc = await _create_document( + session, + virtual_path=path, + content=content, + workspace_id=workspace_id, + created_by_id=None, + ) + await session.commit() + doc_id = doc.id + except ValueError as exc: + return f"Error: {exc}. Pick a different path." + except Exception: + logger.exception("export_run: document create failed for %s", path) + return "Error: could not save the export document (storage failure)." + + # Best-effort UI refresh; the document row is already committed. + try: + from langchain_core.callbacks import adispatch_custom_event + + await adispatch_custom_event( + "document_created", + {"id": doc_id, "title": path.rsplit("/", 1)[-1], "virtualPath": path}, + ) + except Exception: + logger.debug("export_run: document_created dispatch failed", exc_info=True) + return doc_id, path + + +def build_run_reader_tools(*, workspace_id: int) -> list[BaseTool]: + """Build the ``read_run`` / ``search_run`` / ``export_run`` tools for one workspace.""" + + async def _read_run( + ref: Annotated[ + str, "The run reference to read, e.g. 'run_<uuid>' or 'spill_<uuid>'." + ], + offset: Annotated[int, "0-based line (item) index to start from."] = 0, + limit: Annotated[int, "Max lines (items) to return (default 20)."] = 20, + char_offset: Annotated[ + int, + "0-based character index within the selected lines to start from. " + "Use this to page through a single item bigger than one response " + "(the truncation note tells you the next char_offset).", + ] = 0, + ) -> str: + loaded = await _load_body(ref, workspace_id) + if isinstance(loaded, str): + return loaded + body, _kind = loaded + lines = body.split("\n") + start = max(0, offset) + count = min(max(1, limit), _MAX_LIMIT) + window = lines[start : start + count] + if not window: + return f"No lines at offset {start} (total {len(lines)} lines in {ref})." + window_body = "\n".join(window) + start_char = max(0, char_offset) + if start_char >= len(window_body) > 0: + return ( + f"No content at char_offset {start_char} " + f"(this window is {len(window_body)} chars)." + ) + remaining = window_body[start_char:] + shown = remaining[:RUN_OUTPUT_CHAR_CAP] + header = ( + f"Showing lines {start}-{start + len(window) - 1} of {len(lines)} in {ref}" + + (f", from char {start_char} of this window" if start_char else "") + + ":\n" + ) + if len(remaining) > len(shown): + left = len(remaining) - len(shown) + return ( + header + + shown + + f"\n\n...[truncated; {left} chars remain in this window — " + f"continue with char_offset={start_char + len(shown)}, or use " + "search_run]..." + ) + return header + shown + + async def _search_run( + ref: Annotated[str, "The run reference to search, e.g. 'run_<uuid>'."], + pattern: Annotated[str, "Substring or regular expression to match per line."], + max_matches: Annotated[int, "Max matching lines to return (default 20)."] = 20, + ) -> str: + loaded = await _load_body(ref, workspace_id) + if isinstance(loaded, str): + return loaded + body, _kind = loaded + pattern = (pattern or "").strip() + if not pattern: + return "Error: provide a non-empty search pattern." + + matcher = _build_matcher(pattern) + limit = min(max(1, max_matches), _MAX_LIMIT) + matches: list[str] = [] + total = 0 + for idx, line in enumerate(body.split("\n")): + span = matcher(line) + if span is not None: + total += 1 + if len(matches) < limit: + matches.append(f"[{idx}] {_excerpt(line, span)}") + if not matches: + return f"No lines in {ref} matched {pattern!r}." + header = ( + f"Found {total} matching line(s) in {ref}" + f"{f' (showing first {limit})' if total > limit else ''}:\n" + ) + return _cap(header + "\n".join(matches)) + + async def _export_run( + ref: Annotated[ + str, "The run reference to export, e.g. 'run_<uuid>' or 'spill_<uuid>'." + ], + path: Annotated[ + str, + "Destination file path in the workspace, e.g. " + "'/documents/exports/a16z-team.csv'.", + ], + rows: Annotated[ + str, + "'links' = one CSV row per link record on each crawled page " + "(columns like page, url, text, context, kind — use for rosters, " + "directories, listings). 'items' = one row per stored result item.", + ] = "links", + fields: Annotated[ + list[str] | None, + "Columns to include, in order. Defaults: links -> " + "page,url,text,context,kind; items -> url,status,error.", + ] = None, + include_pattern: Annotated[ + str | None, + "Only keep rows matching this substring/regex (tested against the " + "row's combined values), e.g. '/author/' for team-profile links.", + ] = None, + exclude_pattern: Annotated[ + str | None, "Drop rows matching this substring/regex." + ] = None, + ) -> str: + loaded = await _load_body(ref, workspace_id) + if isinstance(loaded, str): + return loaded + body, _kind = loaded + if rows not in ("items", "links"): + return "Error: rows must be 'items' or 'links'." + + records = _rows_from_body(body, rows) + if include_pattern: + inc = _build_matcher(include_pattern.strip()) + records = [ + r for r in records if inc(" ".join(map(_cell, r.values()))) is not None + ] + if exclude_pattern: + exc = _build_matcher(exclude_pattern.strip()) + records = [ + r for r in records if exc(" ".join(map(_cell, r.values()))) is None + ] + if not records: + return ( + f"Error: no rows to export from {ref} " + f"(rows={rows}, include={include_pattern!r}, exclude={exclude_pattern!r}). " + "Loosen the filters or check the run with search_run." + ) + + columns = [f for f in (fields or []) if f] or ( + _LINK_DEFAULT_FIELDS if rows == "links" else _ITEM_DEFAULT_FIELDS + ) + csv_text, row_count = _rows_to_csv(records, columns) + + saved = await _save_export_document( + virtual_path=path, content=csv_text, workspace_id=workspace_id + ) + if isinstance(saved, str): + return saved + doc_id, final_path = saved + + preview_lines = csv_text.split("\n")[:4] + truncated_note = ( + f" (capped at {_EXPORT_MAX_ROWS} rows)" + if row_count >= _EXPORT_MAX_ROWS + else "" + ) + return ( + f"Exported {row_count} rows{truncated_note} to {final_path} " + f"(document id {doc_id}, {len(csv_text)} chars).\n" + f"Columns: {', '.join(columns)}\n" + "First lines:\n" + "\n".join(preview_lines) + ) + + return [ + StructuredTool.from_function( + name="read_run", + description=( + "Read a stored scraper run or spilled tool output by line, in pages. " + "Use the reference from a truncated tool result (e.g. 'run_<uuid>'). " + "Each line is one result item (JSON). Page with offset/limit; when a " + "single item is bigger than one response, keep offset fixed and page " + "inside it with char_offset. Prefer search_run when hunting for " + "something specific." + ), + coroutine=_read_run, + ), + StructuredTool.from_function( + name="search_run", + description=( + "Search a stored scraper run or spilled tool output for lines matching " + "a substring or regular expression. Returns matching items with their " + "line index. Cheaper than reading the whole run when you know what you " + "are looking for." + ), + coroutine=_search_run, + ), + StructuredTool.from_function( + name="export_run", + description=( + "Export a stored run's structured data to a CSV file saved in the " + "user's workspace — deterministically, in code, without the rows " + "passing through you. Use for full-dataset requests (a complete " + "team roster, portfolio list, directory): crawl first, then export " + "the run instead of re-typing hundreds of rows. rows='links' " + "explodes each page's link records (filter with include_pattern, " + "e.g. a profile-URL fragment); rows='items' exports one row per " + "result item. Identical rows are deduplicated — on multi-page " + "crawls, omit 'page' from fields so the same link found on many " + "pages collapses to one row. Returns the saved path, row count, " + "and a preview." + ), + coroutine=_export_run, + ), + ] + + +_EXCERPT_RADIUS = 300 +"""Chars shown on each side of a match when the line itself is huge.""" + + +def _excerpt(line: str, match_start: int) -> str: + """Return the line whole, or a window around the match for oversized lines. + + A crawled page is one JSON line that can run to hundreds of kB; returning it + verbatim would blow the response cap after one match. The noted char offset + plugs straight into ``read_run(..., char_offset=)`` for wider context. + """ + if len(line) <= _EXCERPT_RADIUS * 2: + return line + start = max(0, match_start - _EXCERPT_RADIUS) + end = min(len(line), match_start + _EXCERPT_RADIUS) + prefix = "..." if start > 0 else "" + suffix = "..." if end < len(line) else "" + return ( + f"(match at char {match_start} of {len(line)}) " + f"{prefix}{line[start:end]}{suffix}" + ) + + +def _build_matcher(pattern: str): + """Compile a line matcher returning the match start index, or ``None``. + + Falls back to substring on bad/oversized regex (ReDoS guard). + """ + + def _substring(line: str) -> int | None: + idx = line.lower().find(pattern.lower()) + return idx if idx >= 0 else None + + if len(pattern) > _MAX_PATTERN_LEN: + return _substring + try: + compiled = re.compile(pattern, re.IGNORECASE) + except re.error: + return _substring + + def _regex(line: str) -> int | None: + m = compiled.search(line) + return m.start() if m else None + + return _regex diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/snippets/output_contract_base.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/snippets/output_contract_base.md index 100daae75..35fd48814 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/snippets/output_contract_base.md +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/snippets/output_contract_base.md @@ -1,6 +1,7 @@ Rules (universal): - `status=success` -> `next_step=null`, `missing_fields=null`. - `status=partial|blocked|error` -> `next_step` must be non-null. +- `next_step` is only for actions you cannot take yourself. If the step is a call to one of your own tools (paging a stored run with `read_run`/`search_run`, re-running with adjusted parameters), execute it now and report the improved result instead of returning `partial`. - `status=blocked` due to missing required inputs -> `missing_fields` must be non-null. - `assumptions`: any inferences you made about the user's intent; `null` when no inferences were needed. - The `evidence` object's fields are documented in your route-specific `<output_contract>` above; never invent fields the tool did not return. diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/snippets/run_reader.md b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/snippets/run_reader.md new file mode 100644 index 000000000..0cae9ec9e --- /dev/null +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/snippets/run_reader.md @@ -0,0 +1 @@ +- Truncated results: a large tool result is stored in full and shown as a preview ending with a `run_<uuid>` reference. Never re-run the tool to see more — page the stored run with `read_run(ref, offset, limit)` (each line is one result item as JSON) or grep it with `search_run(ref, pattern)`. If one item is itself bigger than a response, keep `offset` on that line and continue inside it with `char_offset` (the truncation note gives the next value). diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/spec.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/spec.py index 6c68b96db..b3aa57c05 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/spec.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/spec.py @@ -13,7 +13,7 @@ from app.agents.chat.multi_agent_chat.shared.permissions import Ruleset # A context-hint provider receives the parent-agent ``runtime.state`` mapping # and the ``description`` the orchestrator wrote, and returns a short string # the runtime prepends to the subagent's first ``HumanMessage``. Used for -# things like "current search-space id is X" or "the user is in workspace Y" — +# things like "current workspace id is X" or "the user is in workspace Y" — # never for full corpora, since the prepended text consumes the subagent's # prompt budget on every invocation. Return ``None`` (or an empty string) to # skip the hint for this call. @@ -52,7 +52,7 @@ class SurfSenseSubagentSpec: invocation, immediately before the subagent runs. Its return value is prepended to the subagent's first ``HumanMessage`` so the subagent can see things it would otherwise have to discover - (active search space, KB root, current user timezone, etc.). + (active workspace, KB root, current user timezone, etc.). Kept out of the deepagents ``spec`` because that dict is forwarded verbatim to upstream code and only recognises its own typed keys. """ diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/subagent_builder.py b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/subagent_builder.py index b8182ef24..099ef62d8 100644 --- a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/subagent_builder.py +++ b/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/shared/subagent_builder.py @@ -5,6 +5,7 @@ from __future__ import annotations import logging import re import time as _perf_time +from datetime import UTC, datetime from typing import Any, cast from deepagents import SubAgent @@ -60,6 +61,19 @@ def _resolve_includes(prompt: str, *, subagent_name: str) -> str: return _INCLUDE_DIRECTIVE_RE.sub(_replace, prompt) +def append_today_utc(prompt: str) -> str: + """Append the current UTC date so subagents share the main agent's clock. + + The main agent injects ``Today (UTC): ...`` into its identity prompt, but + delegated subagents (calendar/gmail/drive, date-filtered searches, etc.) + never saw it and would guess the date. Appended at build time; the compiled + graph is cache-keyed on the main prompt hash (which carries the same date), + so a day rollover rebuilds both together and they stay consistent. + """ + today = datetime.now(UTC).date().isoformat() + return f"{prompt}\n\nToday (UTC): {today}\n" + + def _user_allowlist_for( dependencies: dict[str, Any], subagent_name: str ) -> Ruleset | None: @@ -115,6 +129,7 @@ def pack_subagent( _t0 = _perf_time.perf_counter() system_prompt = _resolve_includes(system_prompt, subagent_name=name) + system_prompt = append_today_utc(system_prompt) _t_resolve = _perf_time.perf_counter() - _t0 flags = dependencies["flags"] diff --git a/surfsense_backend/app/agents/chat/runtime/mention_resolver.py b/surfsense_backend/app/agents/chat/runtime/mention_resolver.py index 4f2f47b24..7996bacd6 100644 --- a/surfsense_backend/app/agents/chat/runtime/mention_resolver.py +++ b/surfsense_backend/app/agents/chat/runtime/mention_resolver.py @@ -89,7 +89,7 @@ def _folder_virtual_path(folder_id: int, folder_paths: dict[int, str]) -> str: """Return ``/documents/Folder/Sub/`` for a folder id. Falls back to the documents root when the folder is missing from - the index (deleted or in a different search space). Trailing slash + the index (deleted or in a different workspace). Trailing slash matches ``KnowledgeTreeMiddleware`` (``/documents/MyFolder/``) so the agent's ``ls`` can dispatch on it as a directory. """ @@ -100,7 +100,7 @@ def _folder_virtual_path(folder_id: int, folder_paths: dict[int, str]) -> str: async def resolve_mentions( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, mentioned_documents: list[MentionedDocumentInfo] | None, mentioned_document_ids: list[int] | None = None, mentioned_folder_ids: list[int] | None = None, @@ -151,13 +151,13 @@ async def resolve_mentions( if not doc_id_pool and not folder_id_pool: return ResolvedMentionSet() - index = await build_path_index(session, search_space_id) + index = await build_path_index(session, workspace_id) doc_rows: dict[int, Document] = {} if doc_id_pool: result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.id.in_(doc_id_pool), ) ) @@ -168,7 +168,7 @@ async def resolve_mentions( if folder_id_pool: result = await session.execute( select(Folder).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.id.in_(folder_id_pool), ) ) @@ -185,7 +185,7 @@ async def resolve_mentions( logger.debug( "mention_resolver: dropping doc id=%s (not found in space=%s)", doc_id, - search_space_id, + workspace_id, ) continue title = chip_titles_by_id.get(("doc", doc_id), str(row.title or "")) @@ -206,7 +206,7 @@ async def resolve_mentions( logger.debug( "mention_resolver: dropping folder id=%s (not found in space=%s)", folder_id, - search_space_id, + workspace_id, ) continue title = chip_titles_by_id.get(("folder", folder_id), str(row.name or "")) diff --git a/surfsense_backend/app/agents/chat/runtime/path_resolver.py b/surfsense_backend/app/agents/chat/runtime/path_resolver.py index 84282b63b..92a6b1934 100644 --- a/surfsense_backend/app/agents/chat/runtime/path_resolver.py +++ b/surfsense_backend/app/agents/chat/runtime/path_resolver.py @@ -98,12 +98,12 @@ class PathIndex: async def _build_folder_paths( session: AsyncSession, - search_space_id: int, + workspace_id: int, ) -> dict[int, str]: """Compute ``Folder.id`` -> absolute virtual path under ``/documents``.""" result = await session.execute( select(Folder.id, Folder.name, Folder.parent_id).where( - Folder.search_space_id == search_space_id + Folder.workspace_id == workspace_id ) ) rows = result.all() @@ -133,11 +133,11 @@ async def _build_folder_paths( async def build_path_index( session: AsyncSession, - search_space_id: int, + workspace_id: int, *, populate_occupants: bool = True, ) -> PathIndex: - """Build a :class:`PathIndex` for a search space. + """Build a :class:`PathIndex` for a workspace. ``populate_occupants`` controls whether the occupancy map is pre-seeded from existing ``Document`` rows. Most callers want this so that @@ -145,12 +145,12 @@ async def build_path_index( the persistence middleware sets this to ``False`` when it is iterating to decide where to place fresh documents. """ - folder_paths = await _build_folder_paths(session, search_space_id) + folder_paths = await _build_folder_paths(session, workspace_id) occupants: dict[str, int] = {} if populate_occupants: rows = await session.execute( select(Document.id, Document.title, Document.folder_id).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) for row in rows.all(): @@ -189,7 +189,7 @@ def doc_to_virtual_path( async def virtual_path_to_doc( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, virtual_path: str, ) -> Document | None: """Resolve a virtual path back to a ``Document`` row. @@ -198,7 +198,7 @@ async def virtual_path_to_doc( 1. ``Document.unique_identifier_hash`` lookup (fast path for paths created by SurfSense itself — every NOTE write goes through this hash). 2. If the basename carries a ``" (<doc_id>).xml"`` disambiguation suffix, - try a direct id lookup constrained to the search space. + try a direct id lookup constrained to the workspace. 3. Title-from-basename + folder-resolution lookup as a last resort. """ if not virtual_path or not virtual_path.startswith(DOCUMENTS_ROOT): @@ -207,11 +207,11 @@ async def virtual_path_to_doc( unique_hash = generate_unique_identifier_hash( DocumentType.NOTE, virtual_path, - search_space_id, + workspace_id, ) result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.unique_identifier_hash == unique_hash, ) ) @@ -232,7 +232,7 @@ async def virtual_path_to_doc( if suffix_doc_id is not None: result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.id == suffix_doc_id, ) ) @@ -241,7 +241,7 @@ async def virtual_path_to_doc( return document folder_id = await _resolve_folder_id( - session, search_space_id=search_space_id, folder_parts=folder_parts + session, workspace_id=workspace_id, folder_parts=folder_parts ) title_candidates: list[str] = [] raw_title = stem @@ -253,7 +253,7 @@ async def virtual_path_to_doc( if not candidate: continue query = select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.title == candidate, ) if folder_id is None: @@ -272,7 +272,7 @@ async def virtual_path_to_doc( # filename back here. Scan all documents in the resolved folder and match # by ``safe_filename(title)`` to recover the original document. folder_scan = select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) if folder_id is None: folder_scan = folder_scan.where(Document.folder_id.is_(None)) @@ -289,7 +289,7 @@ async def virtual_path_to_doc( async def _resolve_folder_id( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, folder_parts: list[str], ) -> int | None: """Look up the leaf folder id for a chain of folder names; return ``None`` if missing.""" @@ -299,7 +299,7 @@ async def _resolve_folder_id( for raw in folder_parts: name = safe_folder_segment(raw) query = select(Folder.id).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.name == name, ) if parent_id is None: diff --git a/surfsense_backend/app/agents/chat/runtime/referenced_chat_context/resolver.py b/surfsense_backend/app/agents/chat/runtime/referenced_chat_context/resolver.py index bd6c2e150..c1e4ef9eb 100644 --- a/surfsense_backend/app/agents/chat/runtime/referenced_chat_context/resolver.py +++ b/surfsense_backend/app/agents/chat/runtime/referenced_chat_context/resolver.py @@ -19,7 +19,7 @@ from app.db import ( NewChatMessage, NewChatMessageRole, NewChatThread, - SearchSpace, + Workspace, ) from app.tasks.chat.llm_history_normalizer import ( assistant_content_to_llm_text, @@ -35,8 +35,8 @@ def _accessible_thread_filter(user_uuid: UUID | None, *, include_legacy: bool): """Visibility predicate mirroring ``new_chat_routes.search_threads``. A thread is referenceable when the requester created it, it is shared - with the search space, or it is a legacy null-creator thread and the - requester owns the search space (``include_legacy``). Anything else is + with the workspace, or it is a legacy null-creator thread and the + requester owns the workspace (``include_legacy``). Anything else is dropped (fail-closed). """ conditions = [NewChatThread.visibility == ChatVisibility.SEARCH_SPACE] @@ -50,7 +50,7 @@ def _accessible_thread_filter(user_uuid: UUID | None, *, include_legacy: bool): async def resolve_referenced_chats( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, requesting_user_id: str | None, current_chat_id: int, mentioned_thread_ids: list[int] | None, @@ -82,19 +82,19 @@ async def resolve_referenced_chats( if not requested_ids: return [] - # Legacy null-creator threads are referenceable only by the search-space + # Legacy null-creator threads are referenceable only by the workspace # owner, matching ``search_threads`` (the source the picker reads from). include_legacy = False if user_uuid is not None: owner_id = await session.scalar( - select(SearchSpace.user_id).where(SearchSpace.id == search_space_id) + select(Workspace.user_id).where(Workspace.id == workspace_id) ) include_legacy = owner_id == user_uuid thread_rows = await session.execute( select(NewChatThread).where( NewChatThread.id.in_(requested_ids), - NewChatThread.search_space_id == search_space_id, + NewChatThread.workspace_id == workspace_id, _accessible_thread_filter(user_uuid, include_legacy=include_legacy), ) ) @@ -103,7 +103,7 @@ async def resolve_referenced_chats( "resolve_referenced_chats: requested=%s accessible=%s space=%s user=%s", requested_ids, sorted(threads_by_id.keys()), - search_space_id, + workspace_id, user_uuid, ) if not threads_by_id: @@ -119,7 +119,7 @@ async def resolve_referenced_chats( "resolve_referenced_chats: dropping thread id=%s " "(not accessible in space=%s)", thread_id, - search_space_id, + workspace_id, ) continue turns = turns_by_thread.get(thread_id, []) diff --git a/surfsense_backend/app/agents/chat/runtime/references/__init__.py b/surfsense_backend/app/agents/chat/runtime/references/__init__.py index 62530fd71..40e0249d3 100644 --- a/surfsense_backend/app/agents/chat/runtime/references/__init__.py +++ b/surfsense_backend/app/agents/chat/runtime/references/__init__.py @@ -29,7 +29,7 @@ from .reference_pointers import render_reference_pointers async def resolve_references( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, requesting_user_id: str | None, current_chat_id: int, document_ids: list[int] | None = None, @@ -46,18 +46,18 @@ async def resolve_references( references: list[Reference] = [] if document_ids or folder_ids: - index = await build_path_index(session, search_space_id) + index = await build_path_index(session, workspace_id) if document_ids: references += await resolve_document_references( session, - search_space_id=search_space_id, + workspace_id=workspace_id, document_ids=document_ids, index=index, ) if folder_ids: references += await resolve_folder_references( session, - search_space_id=search_space_id, + workspace_id=workspace_id, folder_ids=folder_ids, index=index, ) @@ -65,7 +65,7 @@ async def resolve_references( if connector_ids: references += await resolve_connector_references( session, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_ids=connector_ids, chips=connector_chips, ) @@ -73,7 +73,7 @@ async def resolve_references( if thread_ids: references += await resolve_chat_references( session, - search_space_id=search_space_id, + workspace_id=workspace_id, requesting_user_id=requesting_user_id, current_chat_id=current_chat_id, thread_ids=thread_ids, diff --git a/surfsense_backend/app/agents/chat/runtime/references/chat/access.py b/surfsense_backend/app/agents/chat/runtime/references/chat/access.py index 1f7614b06..df18f99ff 100644 --- a/surfsense_backend/app/agents/chat/runtime/references/chat/access.py +++ b/surfsense_backend/app/agents/chat/runtime/references/chat/access.py @@ -1,8 +1,8 @@ """Access-checked lookup of chat threads the requester may read. The single place chat visibility is enforced: a thread is readable when it is -shared with the search space, the requester created it, or it is a legacy -null-creator thread and the requester owns the search space. Anything else is +shared with the workspace, the requester created it, or it is a legacy +null-creator thread and the requester owns the workspace. Anything else is dropped (fail-closed). """ @@ -14,7 +14,7 @@ from uuid import UUID from sqlalchemy import or_, select from sqlalchemy.ext.asyncio import AsyncSession -from app.db import ChatVisibility, NewChatThread, SearchSpace +from app.db import ChatVisibility, NewChatThread, Workspace logger = logging.getLogger(__name__) @@ -32,7 +32,7 @@ def _visibility_predicate(user_uuid: UUID | None, *, include_legacy: bool): async def accessible_threads( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, requesting_user_id: str | None, thread_ids: list[int], exclude_thread_id: int | None = None, @@ -57,18 +57,18 @@ async def accessible_threads( requesting_user_id, ) - # Legacy null-creator threads are readable only by the search-space owner. + # Legacy null-creator threads are readable only by the workspace owner. include_legacy = False if user_uuid is not None: owner_id = await session.scalar( - select(SearchSpace.user_id).where(SearchSpace.id == search_space_id) + select(Workspace.user_id).where(Workspace.id == workspace_id) ) include_legacy = owner_id == user_uuid rows = await session.execute( select(NewChatThread).where( NewChatThread.id.in_(requested), - NewChatThread.search_space_id == search_space_id, + NewChatThread.workspace_id == workspace_id, _visibility_predicate(user_uuid, include_legacy=include_legacy), ) ) diff --git a/surfsense_backend/app/agents/chat/runtime/references/chat/resolver.py b/surfsense_backend/app/agents/chat/runtime/references/chat/resolver.py index 4e267dff3..3f1566d99 100644 --- a/surfsense_backend/app/agents/chat/runtime/references/chat/resolver.py +++ b/surfsense_backend/app/agents/chat/runtime/references/chat/resolver.py @@ -16,7 +16,7 @@ from .access import accessible_threads async def resolve_chat_references( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, requesting_user_id: str | None, current_chat_id: int, thread_ids: list[int], @@ -27,7 +27,7 @@ async def resolve_chat_references( threads = await accessible_threads( session, - search_space_id=search_space_id, + workspace_id=workspace_id, requesting_user_id=requesting_user_id, thread_ids=thread_ids, exclude_thread_id=current_chat_id, diff --git a/surfsense_backend/app/agents/chat/runtime/references/connectors.py b/surfsense_backend/app/agents/chat/runtime/references/connectors.py index ae2df15c3..78f74c2eb 100644 --- a/surfsense_backend/app/agents/chat/runtime/references/connectors.py +++ b/surfsense_backend/app/agents/chat/runtime/references/connectors.py @@ -29,13 +29,13 @@ def connector_pointer_fields( async def resolve_connector_references( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, connector_ids: list[int], chips: list[MentionedDocumentInfo] | None = None, ) -> list[ConnectorReference]: """Map ``@connector`` ids to references; ids outside the space are dropped. - The DB check only confirms the connector belongs to this search space; + The DB check only confirms the connector belongs to this workspace; display fields come from the user's chip. """ if not connector_ids: @@ -47,7 +47,7 @@ async def resolve_connector_references( SearchSourceConnector.name, SearchSourceConnector.connector_type, ).where( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.id.in_(connector_ids), ) ) diff --git a/surfsense_backend/app/agents/chat/runtime/references/documents/referenced.py b/surfsense_backend/app/agents/chat/runtime/references/documents/referenced.py index 4e05fd324..1e0745240 100644 --- a/surfsense_backend/app/agents/chat/runtime/references/documents/referenced.py +++ b/surfsense_backend/app/agents/chat/runtime/references/documents/referenced.py @@ -3,7 +3,7 @@ Reference resolution, not retrieval: this answers "which knowledge-base documents did the user point at this turn?". ``@document`` ids pass through; ``@folder`` ids expand to the documents directly inside each folder within this -search space (direct children only, not nested subfolders). The caller turns the +workspace (direct children only, not nested subfolders). The caller turns the returned ids into a retrieval ``SearchScope``. """ @@ -18,7 +18,7 @@ from app.db import Document async def referenced_document_ids( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, document_ids: list[int] | None = None, folder_ids: list[int] | None = None, ) -> tuple[int, ...]: @@ -28,7 +28,7 @@ async def referenced_document_ids( if folders: rows = await session.execute( select(Document.id).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.folder_id.in_(folders), ) ) diff --git a/surfsense_backend/app/agents/chat/runtime/references/documents/resolver.py b/surfsense_backend/app/agents/chat/runtime/references/documents/resolver.py index 72a459eb9..b39a365e4 100644 --- a/surfsense_backend/app/agents/chat/runtime/references/documents/resolver.py +++ b/surfsense_backend/app/agents/chat/runtime/references/documents/resolver.py @@ -14,13 +14,13 @@ from ..models import DocumentReference async def resolve_document_references( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, document_ids: list[int], index: PathIndex, ) -> list[DocumentReference]: """Map document ids to references in input order; unknown ids are dropped. - Best-effort and fail-closed: an id outside ``search_space_id`` (deleted or + Best-effort and fail-closed: an id outside ``workspace_id`` (deleted or foreign) simply does not produce a reference. """ if not document_ids: @@ -28,7 +28,7 @@ async def resolve_document_references( rows = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.id.in_(document_ids), ) ) diff --git a/surfsense_backend/app/agents/chat/runtime/references/folders.py b/surfsense_backend/app/agents/chat/runtime/references/folders.py index df0ec457b..57b3a5bfb 100644 --- a/surfsense_backend/app/agents/chat/runtime/references/folders.py +++ b/surfsense_backend/app/agents/chat/runtime/references/folders.py @@ -20,7 +20,7 @@ def folder_pointer_path(folder_id: int, folder_paths: dict[int, str]) -> str: async def resolve_folder_references( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, folder_ids: list[int], index: PathIndex, ) -> list[FolderReference]: @@ -30,7 +30,7 @@ async def resolve_folder_references( rows = await session.execute( select(Folder).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.id.in_(folder_ids), ) ) diff --git a/surfsense_backend/app/agents/chat/shared/context.py b/surfsense_backend/app/agents/chat/shared/context.py index b543eb6b6..74cae70f5 100644 --- a/surfsense_backend/app/agents/chat/shared/context.py +++ b/surfsense_backend/app/agents/chat/shared/context.py @@ -41,7 +41,7 @@ class SurfSenseContextSchema: are optional; consumers must None-check before reading. Phase 1.5 fields: - search_space_id: Search space the request is scoped to. + workspace_id: Workspace the request is scoped to. mentioned_document_ids: KB documents the user @-mentioned this turn. Read by the ``search_knowledge_base`` tool to pin these docs into the retrieval scope. Stays out of the compiled-agent cache @@ -60,7 +60,7 @@ class SurfSenseContextSchema: by middleware ``__init__`` closures). """ - search_space_id: int | None = None + workspace_id: int | None = None mentioned_document_ids: list[int] = field(default_factory=list) mentioned_folder_ids: list[int] = field(default_factory=list) mentioned_connector_ids: list[int] = field(default_factory=list) diff --git a/surfsense_backend/app/agents/chat/shared/tools/__init__.py b/surfsense_backend/app/agents/chat/shared/tools/__init__.py index 342fe9169..0c3bc6e57 100644 --- a/surfsense_backend/app/agents/chat/shared/tools/__init__.py +++ b/surfsense_backend/app/agents/chat/shared/tools/__init__.py @@ -1,5 +1,5 @@ """Cross-agent shared tools. -Only genuinely cross-agent tool code lives here (currently web_search, imported -directly from its module). +Only genuinely cross-agent tool code lives here, imported directly from its +module. """ diff --git a/surfsense_backend/app/agents/chat/shared/tools/web_search.py b/surfsense_backend/app/agents/chat/shared/tools/web_search.py deleted file mode 100644 index 424225b30..000000000 --- a/surfsense_backend/app/agents/chat/shared/tools/web_search.py +++ /dev/null @@ -1,287 +0,0 @@ -""" -Web search tool for the SurfSense agent. - -Provides a unified tool for real-time web searches that dispatches to all -configured search engines: the platform SearXNG instance (always available) -plus any user-configured live-search connectors (Tavily, Linkup, Baidu). - -Each result is registered into the conversation citation registry as a -``WEB_RESULT`` and rendered with a server-assigned ``[n]`` label, so the model -cites the web exactly like the knowledge base — one ``[n]`` spine, no special -web citation form. -""" - -from __future__ import annotations - -import asyncio -import time -from typing import TYPE_CHECKING, Annotated, Any -from urllib.parse import urlparse - -from langchain.tools import ToolRuntime -from langchain_core.messages import ToolMessage -from langchain_core.tools import BaseTool, StructuredTool -from langgraph.types import Command - -from app.db import shielded_async_session -from app.services.connector_service import ConnectorService -from app.utils.perf import get_perf_logger - -if TYPE_CHECKING: - from app.agents.chat.multi_agent_chat.shared.document_render import ( - RenderableDocument, - ) - -# NOTE: imports from ``app.agents.chat.multi_agent_chat`` are done lazily inside -# the functions below. This module lives under ``app.agents.chat.shared`` but is -# imported during the ``multi_agent_chat`` package's own init cascade (via the -# research subagent); importing that package at module load would re-enter a -# partially-initialized module. Lazy imports break that cycle. - -_LIVE_SEARCH_CONNECTORS: set[str] = { - "TAVILY_API", - "LINKUP_API", - "BAIDU_SEARCH_API", -} - -_LIVE_CONNECTOR_SPECS: dict[str, tuple[str, bool, bool, dict[str, Any]]] = { - "TAVILY_API": ("search_tavily", False, True, {}), - "LINKUP_API": ("search_linkup", False, False, {"mode": "standard"}), - "BAIDU_SEARCH_API": ("search_baidu", False, True, {}), -} - -_CONNECTOR_LABELS: dict[str, str] = { - "TAVILY_API": "Tavily", - "LINKUP_API": "Linkup", - "BAIDU_SEARCH_API": "Baidu", -} - - -def _web_source_label(url: str) -> str: - """A compact, human-readable source for the ``<document source=…>`` attr.""" - domain = urlparse(url).netloc.removeprefix("www.") if url else "" - return f"Web · {domain}" if domain else "Web" - - -def _to_renderable_web_documents( - documents: list[dict[str, Any]], - *, - max_chars: int = 50_000, -) -> list[RenderableDocument]: - """Map raw web results to renderable documents, one passage (the snippet) each. - - A result with no URL is skipped: ``url`` is the citation locator, so without - it the result cannot be registered or resolved. - """ - from app.agents.chat.multi_agent_chat.shared.citations import CitationSourceType - from app.agents.chat.multi_agent_chat.shared.document_render import ( - RenderableDocument, - RenderablePassage, - ) - - renderables: list[RenderableDocument] = [] - total_chars = 0 - - for doc in documents: - doc_info = doc.get("document") or {} - metadata = doc_info.get("metadata") or {} - title = doc_info.get("title") or "Web Result" - url = metadata.get("url") or "" - content = (doc.get("content") or "").strip() - if not content or not url: - continue - - total_chars += len(content) - if total_chars > max_chars: - break - - renderables.append( - RenderableDocument( - title=title, - source=_web_source_label(url), - passages=[ - RenderablePassage( - content=content, - locator={"url": url}, - source_type=CitationSourceType.WEB_RESULT, - ) - ], - ) - ) - - return renderables - - -async def _search_live_connector( - connector: str, - query: str, - search_space_id: int, - top_k: int, - semaphore: asyncio.Semaphore, -) -> list[dict[str, Any]]: - """Dispatch a single live-search connector (Tavily / Linkup / Baidu).""" - perf = get_perf_logger() - spec = _LIVE_CONNECTOR_SPECS.get(connector) - if spec is None: - return [] - - method_name, _includes_date_range, includes_top_k, extra_kwargs = spec - kwargs: dict[str, Any] = { - "user_query": query, - "search_space_id": search_space_id, - **extra_kwargs, - } - if includes_top_k: - kwargs["top_k"] = top_k - - try: - t0 = time.perf_counter() - async with semaphore, shielded_async_session() as session: - svc = ConnectorService(session, search_space_id) - _, chunks = await getattr(svc, method_name)(**kwargs) - perf.info( - "[web_search] connector=%s results=%d in %.3fs", - connector, - len(chunks), - time.perf_counter() - t0, - ) - return chunks - except Exception as e: - perf.warning("[web_search] connector=%s FAILED: %s", connector, e) - return [] - - -def create_web_search_tool( - search_space_id: int | None = None, - available_connectors: list[str] | None = None, -) -> BaseTool: - """Factory for the ``web_search`` tool. - - Dispatches in parallel to the platform SearXNG instance and any - user-configured live-search connectors (Tavily, Linkup, Baidu). - """ - active_live_connectors: list[str] = [] - if available_connectors: - active_live_connectors = [ - c for c in available_connectors if c in _LIVE_SEARCH_CONNECTORS - ] - - engine_names = ["SearXNG (platform default)"] - engine_names.extend(_CONNECTOR_LABELS.get(c, c) for c in active_live_connectors) - engines_summary = ", ".join(engine_names) - - description = ( - "Search the web for real-time information. " - "Use this for current events, news, prices, weather, public facts, or any " - "question that requires up-to-date information from the internet.\n\n" - f"Active search engines: {engines_summary}.\n" - "All configured engines are queried in parallel and results are merged." - ) - - _search_space_id = search_space_id - _active_live = active_live_connectors - - async def _web_search_impl( - query: Annotated[ - str, - "The search query to look up on the web. Use specific, descriptive terms.", - ], - runtime: ToolRuntime, - top_k: Annotated[ - int, - "Number of results to retrieve (default: 10, max: 50).", - ] = 10, - ) -> Command | str: - from app.services import web_search_service - - perf = get_perf_logger() - t0 = time.perf_counter() - clamped_top_k = min(max(1, top_k), 50) - - semaphore = asyncio.Semaphore(4) - tasks: list[asyncio.Task[list[dict[str, Any]]]] = [] - - if web_search_service.is_available(): - - async def _searxng() -> list[dict[str, Any]]: - async with semaphore: - _result_obj, docs = await web_search_service.search( - query=query, - top_k=clamped_top_k, - ) - return docs - - tasks.append(asyncio.ensure_future(_searxng())) - - if _search_space_id is not None: - for connector in _active_live: - tasks.append( - asyncio.ensure_future( - _search_live_connector( - connector=connector, - query=query, - search_space_id=_search_space_id, - top_k=clamped_top_k, - semaphore=semaphore, - ) - ) - ) - - if not tasks: - return "Web search is not available — no search engines are configured." - - results_lists = await asyncio.gather(*tasks, return_exceptions=True) - - all_documents: list[dict[str, Any]] = [] - for result in results_lists: - if isinstance(result, BaseException): - perf.warning("[web_search] a search engine failed: %s", result) - continue - all_documents.extend(result) - - seen_urls: set[str] = set() - deduplicated: list[dict[str, Any]] = [] - for doc in all_documents: - url = ((doc.get("document") or {}).get("metadata") or {}).get("url", "") - if url and url in seen_urls: - continue - if url: - seen_urls.add(url) - deduplicated.append(doc) - - from app.agents.chat.multi_agent_chat.shared.citations import load_registry - from app.agents.chat.multi_agent_chat.shared.document_render import ( - render_web_results, - ) - - registry = load_registry(getattr(runtime, "state", None)) - renderables = _to_renderable_web_documents(deduplicated) - rendered = render_web_results(renderables, registry) - - perf.info( - "[web_search] query=%r engines=%d results=%d deduped=%d renderable=%d in %.3fs", - query[:60], - len(tasks), - len(all_documents), - len(deduplicated), - len(renderables), - time.perf_counter() - t0, - ) - - if rendered is None: - return "No web search results found." - - return Command( - update={ - "messages": [ - ToolMessage(content=rendered, tool_call_id=runtime.tool_call_id) - ], - "citation_registry": registry, - } - ) - - return StructuredTool.from_function( - name="web_search", - description=description, - coroutine=_web_search_impl, - ) diff --git a/surfsense_backend/app/agents/video_presentation/configuration.py b/surfsense_backend/app/agents/video_presentation/configuration.py index 18724a2ab..260e3f481 100644 --- a/surfsense_backend/app/agents/video_presentation/configuration.py +++ b/surfsense_backend/app/agents/video_presentation/configuration.py @@ -12,7 +12,7 @@ class Configuration: """The configuration for the video presentation agent.""" video_title: str - search_space_id: int + workspace_id: int user_prompt: str | None = None @classmethod diff --git a/surfsense_backend/app/agents/video_presentation/nodes.py b/surfsense_backend/app/agents/video_presentation/nodes.py index bdc0f80f8..dca89059f 100644 --- a/surfsense_backend/app/agents/video_presentation/nodes.py +++ b/surfsense_backend/app/agents/video_presentation/nodes.py @@ -49,12 +49,12 @@ async def create_presentation_slides( """Parse source content into structured presentation slides using LLM.""" configuration = Configuration.from_runnable_config(config) - search_space_id = configuration.search_space_id + workspace_id = configuration.workspace_id user_prompt = configuration.user_prompt - llm = await get_agent_llm(state.db_session, search_space_id) + llm = await get_agent_llm(state.db_session, workspace_id) if not llm: - error_message = f"No LLM configured for search space {search_space_id}" + error_message = f"No LLM configured for workspace {workspace_id}" print(error_message) raise RuntimeError(error_message) @@ -351,11 +351,11 @@ async def assign_slide_themes(state: State, config: RunnableConfig) -> dict[str, Runs in parallel with audio generation since it only needs slide metadata. """ configuration = Configuration.from_runnable_config(config) - search_space_id = configuration.search_space_id + workspace_id = configuration.workspace_id - llm = await get_agent_llm(state.db_session, search_space_id) + llm = await get_agent_llm(state.db_session, workspace_id) if not llm: - raise RuntimeError(f"No LLM configured for search space {search_space_id}") + raise RuntimeError(f"No LLM configured for workspace {workspace_id}") slides = state.slides or [] assignments = await _assign_themes_with_llm(llm, slides) @@ -372,11 +372,11 @@ async def generate_slide_scene_codes( """ configuration = Configuration.from_runnable_config(config) - search_space_id = configuration.search_space_id + workspace_id = configuration.workspace_id - llm = await get_agent_llm(state.db_session, search_space_id) + llm = await get_agent_llm(state.db_session, workspace_id) if not llm: - raise RuntimeError(f"No LLM configured for search space {search_space_id}") + raise RuntimeError(f"No LLM configured for workspace {workspace_id}") slides = state.slides or [] audio_results = state.slide_audio_results or [] diff --git a/surfsense_backend/app/app.py b/surfsense_backend/app/app.py index 1c81c8c29..dde2ce7fa 100644 --- a/surfsense_backend/app/app.py +++ b/surfsense_backend/app/app.py @@ -465,7 +465,7 @@ async def _warm_agent_jit_caches() -> None: Doing one throwaway compile during ``lifespan`` startup pre-pays that cost so the *first real request* doesn't. We do NOT prime :mod:`agent_cache` because the cache key requires real - ``thread_id`` / ``user_id`` / ``search_space_id`` / etc. — the + ``thread_id`` / ``user_id`` / ``workspace_id`` / etc. — the throwaway agent is genuinely thrown away and immediately collected. Safety @@ -613,6 +613,29 @@ async def _warm_embedding_model() -> None: ) +async def _sweep_stale_scraper_runs() -> None: + """Fail scraper runs left ``running`` by a previous process (single-process). + + The async scraper door tracks in-flight runs as ``running``; a restart kills + those background tasks, so any such row at boot is dead. Non-fatal. + """ + logger = logging.getLogger(__name__) + try: + from app.capabilities.core.runs import fail_stale_running_runs + from app.db import async_session_maker + + async with async_session_maker() as session: + swept = await fail_stale_running_runs(session) + if swept: + logger.info( + "[startup] Marked %d stale running scraper run(s) as error", swept + ) + except Exception: + logger.warning( + "[startup] Stale scraper-run sweep failed (non-fatal)", exc_info=True + ) + + @asynccontextmanager async def lifespan(app: FastAPI): # Tune GC: lower gen-2 threshold so long-lived garbage is collected @@ -623,6 +646,7 @@ async def lifespan(app: FastAPI): _enable_slow_callback_logging(threshold_sec=0.5) init_otel(app) await create_db_and_tables() + await _sweep_stale_scraper_runs() await setup_checkpointer_tables() initialize_openrouter_integration() _start_openrouter_background_refresh() diff --git a/surfsense_backend/app/automations/actions/builtin/agent_task/dependencies.py b/surfsense_backend/app/automations/actions/builtin/agent_task/dependencies.py index c9584ae2a..2dca821d4 100644 --- a/surfsense_backend/app/automations/actions/builtin/agent_task/dependencies.py +++ b/surfsense_backend/app/automations/actions/builtin/agent_task/dependencies.py @@ -13,10 +13,10 @@ from app.automations.services.model_policy import ( assert_automation_models_billable, assert_models_billable, ) -from app.db import SearchSpace +from app.db import Workspace from app.tasks.chat.streaming.flows.shared.llm_bundle import load_llm_bundle from app.tasks.chat.streaming.flows.shared.pre_stream_setup import ( - setup_connector_and_firecrawl, + setup_connector_service, ) @@ -31,14 +31,13 @@ class AgentDependencies: llm: Any agent_config: Any connector_service: Any - firecrawl_api_key: str | None checkpointer: Any async def build_dependencies( *, session: AsyncSession, - search_space_id: int, + workspace_id: int, chat_model_id: int | None = None, image_gen_model_id: int | None = None, vision_model_id: int | None = None, @@ -46,13 +45,13 @@ async def build_dependencies( """Load the LLM bundle, connector service, and a per-invoke in-memory checkpointer. Resolves the chat model from the automation's *captured* model snapshot - (``chat_model_id``) so runs are insulated from later chat/search-space model + (``chat_model_id``) so runs are insulated from later chat/workspace model changes. The model policy is enforced here as a runtime backstop: a captured model that is no longer billable (e.g. a premium global config was removed) fails the run clearly instead of silently consuming a free model. When ``chat_model_id`` is ``None`` (no captured snapshot — defensive fallback), - fall back to the live search space's ``chat_model_id`` and validate that. + fall back to the live workspace's ``chat_model_id`` and validate that. """ if chat_model_id is not None: try: @@ -65,41 +64,33 @@ async def build_dependencies( raise DependencyError(str(exc)) from exc resolved_chat_model_id = chat_model_id or 0 else: - search_space = await session.get(SearchSpace, search_space_id) - if search_space is None: - raise DependencyError(f"search space {search_space_id} not found") + workspace = await session.get(Workspace, workspace_id) + if workspace is None: + raise DependencyError(f"workspace {workspace_id} not found") try: - assert_automation_models_billable(search_space) + assert_automation_models_billable(workspace) except AutomationModelPolicyError as exc: raise DependencyError(str(exc)) from exc - resolved_chat_model_id = search_space.chat_model_id or 0 + resolved_chat_model_id = workspace.chat_model_id or 0 llm, agent_config, err = await load_llm_bundle( session, config_id=resolved_chat_model_id, - search_space_id=search_space_id, + workspace_id=workspace_id, ) if err is not None or llm is None: raise DependencyError(err or "failed to load chat model config") - connector_service, firecrawl_api_key = await setup_connector_and_firecrawl( - session, search_space_id=search_space_id + connector_service = await setup_connector_service( + session, workspace_id=workspace_id ) - # Per-task InMemorySaver: the shared Postgres checkpointer's connection - # pool binds connections to the loop that opened them, but Celery uses a - # fresh loop per task, so the next task hangs 30s on a dead-loop connection - # (`PoolTimeout`). InMemorySaver has no pool and dies with the task — fine - # while runs are one-shot (the checkpoint only spans one graph execution). - # - # TODO(checkpointer): when runs need durability (crash-resume or HITL - # interrupt/resume across tasks), dispose the checkpointer pool around each - # Celery task in `run_async_celery_task` — as `_dispose_shared_db_engine` - # already does for the SQLAlchemy pool — then use the shared checkpointer. + # One-shot runs on a fresh thread don't outlive a single execution, so an + # in-memory checkpointer suffices. Ongoing chat-thread turns that need + # durable memory use the shared Postgres checkpointer via stream_new_chat. checkpointer = InMemorySaver() return AgentDependencies( llm=llm, agent_config=agent_config, connector_service=connector_service, - firecrawl_api_key=firecrawl_api_key, checkpointer=checkpointer, ) diff --git a/surfsense_backend/app/automations/actions/builtin/agent_task/invoke.py b/surfsense_backend/app/automations/actions/builtin/agent_task/invoke.py index e1ba32ce9..c091aa9f5 100644 --- a/surfsense_backend/app/automations/actions/builtin/agent_task/invoke.py +++ b/surfsense_backend/app/automations/actions/builtin/agent_task/invoke.py @@ -65,7 +65,7 @@ def _build_connector_block(connectors: list[dict[str, Any]]) -> str | None: async def _resolve_mention_context( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, query: str, mentioned_document_ids: list[int] | None, mentioned_folder_ids: list[int] | None, @@ -94,7 +94,7 @@ async def _resolve_mention_context( resolved = await resolve_mentions( session, - search_space_id=search_space_id, + workspace_id=workspace_id, mentioned_documents=mentioned_documents, mentioned_document_ids=mentioned_document_ids, mentioned_folder_ids=mentioned_folder_ids, @@ -109,7 +109,7 @@ async def _resolve_mention_context( agent_query = f"{connector_block}\n\n<user_query>{agent_query}</user_query>" runtime_context = SurfSenseContextSchema( - search_space_id=search_space_id, + workspace_id=workspace_id, mentioned_document_ids=list( resolved.mentioned_document_ids or (mentioned_document_ids or []) ), @@ -156,7 +156,7 @@ async def run_agent_task( deps = await build_dependencies( session=agent_session, - search_space_id=ctx.search_space_id, + workspace_id=ctx.workspace_id, chat_model_id=ctx.chat_model_id, image_gen_model_id=ctx.image_gen_model_id, vision_model_id=ctx.vision_model_id, @@ -164,14 +164,13 @@ async def run_agent_task( agent = await create_multi_agent_chat_deep_agent( llm=deps.llm, - search_space_id=ctx.search_space_id, + workspace_id=ctx.workspace_id, db_session=agent_session, connector_service=deps.connector_service, checkpointer=deps.checkpointer, user_id=user_id, thread_id=None, agent_config=deps.agent_config, - firecrawl_api_key=deps.firecrawl_api_key, thread_visibility=ChatVisibility.PRIVATE, mentioned_document_ids=mentioned_document_ids, image_gen_model_id=ctx.image_gen_model_id, @@ -180,7 +179,7 @@ async def run_agent_task( agent_query, runtime_context = await _resolve_mention_context( agent_session, - search_space_id=ctx.search_space_id, + workspace_id=ctx.workspace_id, query=query, mentioned_document_ids=mentioned_document_ids, mentioned_folder_ids=mentioned_folder_ids, @@ -193,7 +192,7 @@ async def run_agent_task( turn_id = f"{request_id}:{int(time.time() * 1000)}" input_state: dict[str, Any] = { "messages": [HumanMessage(content=agent_query)], - "search_space_id": ctx.search_space_id, + "workspace_id": ctx.workspace_id, "request_id": request_id, "turn_id": turn_id, } diff --git a/surfsense_backend/app/automations/actions/types.py b/surfsense_backend/app/automations/actions/types.py index 3ee427512..0273559f3 100644 --- a/surfsense_backend/app/automations/actions/types.py +++ b/surfsense_backend/app/automations/actions/types.py @@ -18,11 +18,11 @@ class ActionContext: session: AsyncSession run_id: int step_id: str - search_space_id: int + workspace_id: int creator_user_id: UUID | None # Captured model snapshot from the automation definition (``definition.models``), - # resolved per run instead of the live search space. ``None`` falls back to the - # search space's current prefs (defensive; should not happen post-capture). + # resolved per run instead of the live workspace. ``None`` falls back to the + # workspace's current prefs (defensive; should not happen post-capture). chat_model_id: int | None = None image_gen_model_id: int | None = None vision_model_id: int | None = None diff --git a/surfsense_backend/app/automations/api/automation.py b/surfsense_backend/app/automations/api/automation.py index 911ae57a6..59f05a7bb 100644 --- a/surfsense_backend/app/automations/api/automation.py +++ b/surfsense_backend/app/automations/api/automation.py @@ -44,14 +44,14 @@ async def create_automation( @router.get("/automations", response_model=AutomationList) async def list_automations( - search_space_id: int = Query(...), + workspace_id: int = Query(...), limit: int = Query(default=50, ge=1, le=200), offset: int = Query(default=0, ge=0), service: AutomationService = Depends(get_automation_service), ) -> AutomationList: - """List automations in a search space.""" + """List automations in a workspace.""" items, total = await service.list( - search_space_id=search_space_id, limit=limit, offset=offset + workspace_id=workspace_id, limit=limit, offset=offset ) return AutomationList( items=[AutomationSummary.model_validate(a) for a in items], @@ -61,10 +61,10 @@ async def list_automations( @router.get("/automations/model-eligibility", response_model=ModelEligibility) async def get_automation_model_eligibility( - search_space_id: int = Query(...), + workspace_id: int = Query(...), service: AutomationService = Depends(get_automation_service), ) -> ModelEligibility: - """Report whether a search space's models are billable for automations. + """Report whether a workspace's models are billable for automations. Used by the frontend to gate creation: automations may only use premium global models or user BYOK models (free models and Auto mode are blocked). @@ -72,7 +72,7 @@ async def get_automation_model_eligibility( NOTE: declared before ``/automations/{automation_id}`` so the literal path isn't captured by the int-typed ``{automation_id}`` route. """ - result = await service.model_eligibility(search_space_id=search_space_id) + result = await service.model_eligibility(workspace_id=workspace_id) return ModelEligibility.model_validate(result) diff --git a/surfsense_backend/app/automations/persistence/models/automation.py b/surfsense_backend/app/automations/persistence/models/automation.py index cb0b2ed31..486a1ecea 100644 --- a/surfsense_backend/app/automations/persistence/models/automation.py +++ b/surfsense_backend/app/automations/persistence/models/automation.py @@ -24,9 +24,9 @@ from ..enums.automation_status import AutomationStatus class Automation(BaseModel, TimestampMixin): __tablename__ = "automations" - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False, index=True, ) @@ -65,7 +65,7 @@ class Automation(BaseModel, TimestampMixin): index=True, ) - search_space = relationship("SearchSpace", back_populates="automations") + workspace = relationship("Workspace", back_populates="automations") created_by = relationship("User", back_populates="automations") triggers = relationship( "AutomationTrigger", diff --git a/surfsense_backend/app/automations/runtime/executor.py b/surfsense_backend/app/automations/runtime/executor.py index bcdab3940..d9544cd0c 100644 --- a/surfsense_backend/app/automations/runtime/executor.py +++ b/surfsense_backend/app/automations/runtime/executor.py @@ -108,7 +108,7 @@ def _build_template_ctx( automation_id=run.automation_id, automation_name=automation.name if automation else None, automation_version=automation.version if automation else None, - search_space_id=automation.search_space_id if automation else None, + workspace_id=automation.workspace_id if automation else None, creator_id=automation.created_by_user_id if automation else None, trigger_id=run.trigger_id, trigger_type=trigger.type.value if trigger else None, @@ -130,7 +130,7 @@ def _build_action_ctx( session=session, run_id=run.id, step_id=step.step_id, - search_space_id=automation.search_space_id, + workspace_id=automation.workspace_id, creator_user_id=automation.created_by_user_id, chat_model_id=models.chat_model_id if models else None, image_gen_model_id=models.image_gen_model_id if models else None, diff --git a/surfsense_backend/app/automations/schemas/api/automation.py b/surfsense_backend/app/automations/schemas/api/automation.py index c1defd417..d3dbce1e0 100644 --- a/surfsense_backend/app/automations/schemas/api/automation.py +++ b/surfsense_backend/app/automations/schemas/api/automation.py @@ -17,7 +17,7 @@ class AutomationCreate(BaseModel): model_config = ConfigDict(extra="forbid") - search_space_id: int + workspace_id: int name: str = Field(..., min_length=1, max_length=200) description: str | None = None definition: AutomationDefinition @@ -41,7 +41,7 @@ class AutomationSummary(BaseModel): model_config = ConfigDict(from_attributes=True) id: int - search_space_id: int + workspace_id: int name: str description: str | None = None status: AutomationStatus diff --git a/surfsense_backend/app/automations/schemas/definition/envelope.py b/surfsense_backend/app/automations/schemas/definition/envelope.py index 787534d4a..0a59ff168 100644 --- a/surfsense_backend/app/automations/schemas/definition/envelope.py +++ b/surfsense_backend/app/automations/schemas/definition/envelope.py @@ -14,8 +14,8 @@ from .trigger_spec import TriggerSpec class AutomationModels(BaseModel): """Captured model profile for an automation. - Snapshotted from the search space's model roles at create time so runs are - insulated from later chat/search-space model changes. Model-id conventions + Snapshotted from the workspace's model roles at create time so runs are + insulated from later chat/workspace model changes. Model-id conventions match the shared scheme (``0`` Auto, ``< 0`` global, ``> 0`` BYOK). """ @@ -40,6 +40,6 @@ class AutomationDefinition(BaseModel): execution: Execution = Field(default_factory=Execution) metadata: Metadata = Field(default_factory=Metadata) # Captured server-side at create() and preserved across update(); resolved - # at runtime instead of the live search space. Optional so drafts/builder + # at runtime instead of the live workspace. Optional so drafts/builder # payloads validate without it. models: AutomationModels | None = None diff --git a/surfsense_backend/app/automations/services/automation.py b/surfsense_backend/app/automations/services/automation.py index ed748fb7c..a419327bf 100644 --- a/surfsense_backend/app/automations/services/automation.py +++ b/surfsense_backend/app/automations/services/automation.py @@ -28,7 +28,7 @@ from app.automations.services.model_policy import ( ) from app.automations.triggers import get_trigger from app.automations.triggers.builtin.schedule import compute_next_fire_at -from app.db import Permission, SearchSpace, get_async_session +from app.db import Permission, Workspace, get_async_session from app.users import get_auth_context from app.utils.rbac import check_permission @@ -43,29 +43,27 @@ class AutomationService: async def create(self, payload: AutomationCreate) -> Automation: """Create an automation and its initial triggers in one transaction.""" - await self._authorize( - payload.search_space_id, Permission.AUTOMATIONS_CREATE.value - ) + await self._authorize(payload.workspace_id, Permission.AUTOMATIONS_CREATE.value) # Capture the model profile onto the definition so runs are insulated - # from later chat/search-space model changes. Two sources: + # from later chat/workspace model changes. Two sources: # 1. Explicit per-automation selection in ``payload.definition.models`` # (manual builder + chat approval card). Validate the chosen ids. - # 2. Fallback (no selection): snapshot the search space's current prefs. + # 2. Fallback (no selection): snapshot the workspace's current prefs. # Either way the captured ids are guaranteed billable (premium/BYOK). selected_models = payload.definition.models if selected_models is not None: self._assert_selected_models_billable(selected_models) else: - search_space = await self._assert_models_billable(payload.search_space_id) + workspace = await self._assert_models_billable(payload.workspace_id) payload.definition.models = AutomationModels( - chat_model_id=search_space.chat_model_id or 0, - image_gen_model_id=search_space.image_gen_model_id or 0, - vision_model_id=search_space.vision_model_id or 0, + chat_model_id=workspace.chat_model_id or 0, + image_gen_model_id=workspace.image_gen_model_id or 0, + vision_model_id=workspace.vision_model_id or 0, ) automation = Automation( - search_space_id=payload.search_space_id, + workspace_id=payload.workspace_id, created_by_user_id=self.user.id, name=payload.name, description=payload.description, @@ -82,14 +80,14 @@ class AutomationService: async def list( self, *, - search_space_id: int, + workspace_id: int, limit: int, offset: int, ) -> tuple[list[Automation], int]: """Return a page of automations and the total count.""" - await self._authorize(search_space_id, Permission.AUTOMATIONS_READ.value) + await self._authorize(workspace_id, Permission.AUTOMATIONS_READ.value) - base = select(Automation).where(Automation.search_space_id == search_space_id) + base = select(Automation).where(Automation.workspace_id == workspace_id) total = await self.session.scalar( select(func.count()).select_from(base.subquery()) ) @@ -111,7 +109,7 @@ class AutomationService: """Get an automation with its triggers loaded.""" automation = await self._get_with_triggers_or_raise(automation_id) await self._authorize( - automation.search_space_id, Permission.AUTOMATIONS_READ.value + automation.workspace_id, Permission.AUTOMATIONS_READ.value ) return automation @@ -119,7 +117,7 @@ class AutomationService: """Patch fields. Bumps ``version`` when ``definition`` changes.""" automation = await self._get_with_triggers_or_raise(automation_id) await self._authorize( - automation.search_space_id, Permission.AUTOMATIONS_UPDATE.value + automation.workspace_id, Permission.AUTOMATIONS_UPDATE.value ) data = patch.model_dump(exclude_unset=True) @@ -135,7 +133,7 @@ class AutomationService: # Model snapshot handling on edit: # * absent in the patch -> preserve the captured snapshot # (a non-model definition change never silently re-binds the - # automation to the current chat/search-space selection). + # automation to the current chat/workspace selection). # * unchanged from the snapshot -> keep as-is, no re-validation # (so editing an automation whose captured model later drifted # out of premium isn't blocked by an unrelated name/schedule edit). @@ -158,7 +156,7 @@ class AutomationService: """Delete an automation; FK cascades remove triggers and runs.""" automation = await self._get_or_raise(automation_id) await self._authorize( - automation.search_space_id, Permission.AUTOMATIONS_DELETE.value + automation.workspace_id, Permission.AUTOMATIONS_DELETE.value ) await self.session.delete(automation) await self.session.commit() @@ -184,46 +182,46 @@ class AutomationService: ) return automation - async def model_eligibility(self, *, search_space_id: int) -> dict: - """Return whether a search space's models are billable for automations. + async def model_eligibility(self, *, workspace_id: int) -> dict: + """Return whether a workspace's models are billable for automations. ``{"allowed": bool, "violations": [{kind, config_id, reason}, ...]}``. """ - await self._authorize(search_space_id, Permission.AUTOMATIONS_READ.value) - search_space = await self.session.get(SearchSpace, search_space_id) - if search_space is None: + await self._authorize(workspace_id, Permission.AUTOMATIONS_READ.value) + workspace = await self.session.get(Workspace, workspace_id) + if workspace is None: raise HTTPException( - status_code=404, detail=f"search space {search_space_id} not found" + status_code=404, detail=f"workspace {workspace_id} not found" ) - return get_automation_model_eligibility(search_space) + return get_automation_model_eligibility(workspace) - async def _assert_models_billable(self, search_space_id: int) -> SearchSpace: - """Reject creation when the search space's models aren't billable. + async def _assert_models_billable(self, workspace_id: int) -> Workspace: + """Reject creation when the workspace's models aren't billable. Automations may only use premium global models or user BYOK models; free global models and Auto mode are blocked. Mirrors the runtime backstop in ``agent_task`` so users can't save an automation that would fail to run. - Returns the loaded :class:`SearchSpace` so the caller can capture its + Returns the loaded :class:`Workspace` so the caller can capture its model prefs without a second DB read. """ - search_space = await self.session.get(SearchSpace, search_space_id) - if search_space is None: + workspace = await self.session.get(Workspace, workspace_id) + if workspace is None: raise HTTPException( - status_code=404, detail=f"search space {search_space_id} not found" + status_code=404, detail=f"workspace {workspace_id} not found" ) try: - assert_automation_models_billable(search_space) + assert_automation_models_billable(workspace) except AutomationModelPolicyError as exc: raise HTTPException(status_code=422, detail=str(exc)) from exc - return search_space + return workspace def _assert_selected_models_billable(self, models: AutomationModels) -> None: """Reject creation when an explicitly selected model isn't billable. Used when the client supplies ``definition.models`` (per-automation selection from the builder or chat approval card). Same policy as the - search-space path: premium global or BYOK only, no free/Auto. + workspace path: premium global or BYOK only, no free/Auto. """ try: assert_models_billable( @@ -234,13 +232,13 @@ class AutomationService: except AutomationModelPolicyError as exc: raise HTTPException(status_code=422, detail=str(exc)) from exc - async def _authorize(self, search_space_id: int, permission: str) -> None: + async def _authorize(self, workspace_id: int, permission: str) -> None: await check_permission( self.session, self.auth, - search_space_id, + workspace_id, permission, - f"You don't have permission to {permission.split(':')[1]} automations in this search space", + f"You don't have permission to {permission.split(':')[1]} automations in this workspace", ) diff --git a/surfsense_backend/app/automations/services/model_policy.py b/surfsense_backend/app/automations/services/model_policy.py index e18264246..e767e55d1 100644 --- a/surfsense_backend/app/automations/services/model_policy.py +++ b/surfsense_backend/app/automations/services/model_policy.py @@ -22,7 +22,7 @@ from __future__ import annotations from typing import TYPE_CHECKING, Literal if TYPE_CHECKING: - from app.db import SearchSpace + from app.db import Workspace ModelKind = Literal["chat", "image", "vision"] @@ -58,7 +58,7 @@ def _classify(kind: ModelKind, model_id: int | None) -> tuple[bool, str]: ) if model_id > 0: - # Positive id -> user/search-space BYOK model. Always allowed. + # Positive id -> user/workspace BYOK model. Always allowed. return True, "" # Negative id -> global model. Allowed only if premium. @@ -80,7 +80,7 @@ def get_model_eligibility( ) -> dict: """Return ``{"allowed": bool, "violations": [...]}`` for explicit model ids. - The ID-based core shared by both the search-space path (creation/eligibility) + The ID-based core shared by both the workspace path (creation/eligibility) and the captured-snapshot path (runtime backstop). Each violation is ``{"kind", "model_id", "reason"}``. """ @@ -99,21 +99,21 @@ def get_model_eligibility( return {"allowed": not violations, "violations": violations} -def get_automation_model_eligibility(search_space: SearchSpace) -> dict: - """Return ``{"allowed": bool, "violations": [...]}`` for a search space. +def get_automation_model_eligibility(workspace: Workspace) -> dict: + """Return ``{"allowed": bool, "violations": [...]}`` for a workspace. Used by the eligibility endpoint and the chat tool's early check. Thin wrapper over :func:`get_model_eligibility`. """ return get_model_eligibility( - chat_model_id=search_space.chat_model_id, - image_gen_model_id=search_space.image_gen_model_id, - vision_model_id=search_space.vision_model_id, + chat_model_id=workspace.chat_model_id, + image_gen_model_id=workspace.image_gen_model_id, + vision_model_id=workspace.vision_model_id, ) class AutomationModelPolicyError(Exception): - """Raised when a search space's models are not billable for automations.""" + """Raised when a workspace's models are not billable for automations.""" def __init__(self, violations: list[dict]) -> None: self.violations = violations @@ -143,8 +143,8 @@ def assert_models_billable( raise AutomationModelPolicyError(result["violations"]) -def assert_automation_models_billable(search_space: SearchSpace) -> None: +def assert_automation_models_billable(workspace: Workspace) -> None: """Raise :class:`AutomationModelPolicyError` if any model slot is not billable.""" - result = get_automation_model_eligibility(search_space) + result = get_automation_model_eligibility(workspace) if not result["allowed"]: raise AutomationModelPolicyError(result["violations"]) diff --git a/surfsense_backend/app/automations/services/run.py b/surfsense_backend/app/automations/services/run.py index 9bcd1393e..1e130b00d 100644 --- a/surfsense_backend/app/automations/services/run.py +++ b/surfsense_backend/app/automations/services/run.py @@ -65,9 +65,9 @@ class RunService: await check_permission( self.session, self.auth, - automation.search_space_id, + automation.workspace_id, permission, - f"You don't have permission to {permission.split(':')[1]} automations in this search space", + f"You don't have permission to {permission.split(':')[1]} automations in this workspace", ) return automation diff --git a/surfsense_backend/app/automations/services/trigger.py b/surfsense_backend/app/automations/services/trigger.py index 52c827c67..5175eb15e 100644 --- a/surfsense_backend/app/automations/services/trigger.py +++ b/surfsense_backend/app/automations/services/trigger.py @@ -103,9 +103,9 @@ class TriggerService: await check_permission( self.session, self.auth, - automation.search_space_id, + automation.workspace_id, permission, - f"You don't have permission to {permission.split(':')[1]} automations in this search space", + f"You don't have permission to {permission.split(':')[1]} automations in this workspace", ) return automation diff --git a/surfsense_backend/app/automations/templating/context.py b/surfsense_backend/app/automations/templating/context.py index 96fdb02e9..654311610 100644 --- a/surfsense_backend/app/automations/templating/context.py +++ b/surfsense_backend/app/automations/templating/context.py @@ -13,7 +13,7 @@ def build_run_context( automation_id: int, automation_name: str | None, automation_version: int | None, - search_space_id: int | None, + workspace_id: int | None, creator_id: Any, trigger_id: int | None, trigger_type: str | None, @@ -29,7 +29,7 @@ def build_run_context( "automation_id": automation_id, "automation_name": automation_name, "automation_version": automation_version, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "creator_id": creator_id, "trigger_id": trigger_id, "trigger_type": trigger_type, diff --git a/surfsense_backend/app/capabilities/__init__.py b/surfsense_backend/app/capabilities/__init__.py new file mode 100644 index 000000000..d159536fb --- /dev/null +++ b/surfsense_backend/app/capabilities/__init__.py @@ -0,0 +1,5 @@ +"""Scraper capability registry — typed, stateless verbs. See plans/backend/04-capabilities.md.""" + +from __future__ import annotations + +__all__: list[str] = [] diff --git a/surfsense_backend/app/capabilities/core/__init__.py b/surfsense_backend/app/capabilities/core/__init__.py new file mode 100644 index 000000000..71d14b639 --- /dev/null +++ b/surfsense_backend/app/capabilities/core/__init__.py @@ -0,0 +1,30 @@ +"""Capability framework kernel: registry contracts, store, billing, and access doors.""" + +from app.capabilities.core.billing import charge_capability, gate_capability +from app.capabilities.core.store import ( + all_capabilities, + get_capability, + register_capability, +) +from app.capabilities.core.types import ( + BillableInput, + BillableOutput, + BillingUnit, + Capability, + CapabilityContext, + Executor, +) + +__all__ = [ + "BillableInput", + "BillableOutput", + "BillingUnit", + "Capability", + "CapabilityContext", + "Executor", + "all_capabilities", + "charge_capability", + "gate_capability", + "get_capability", + "register_capability", +] diff --git a/surfsense_backend/app/capabilities/core/access/__init__.py b/surfsense_backend/app/capabilities/core/access/__init__.py new file mode 100644 index 000000000..1e24750c8 --- /dev/null +++ b/surfsense_backend/app/capabilities/core/access/__init__.py @@ -0,0 +1 @@ +"""Access doors (05): thin adapters that expose the 04 registry as REST/MCP/agent.""" diff --git a/surfsense_backend/app/capabilities/core/access/agent.py b/surfsense_backend/app/capabilities/core/access/agent.py new file mode 100644 index 000000000..4aa569e24 --- /dev/null +++ b/surfsense_backend/app/capabilities/core/access/agent.py @@ -0,0 +1,168 @@ +"""Generate the agent door from the capability registry (05). + +One LangChain tool per verb; each runs the same thin adapter as the REST door +(``access/rest.py``): meter-gate -> executor -> charge. Every run is recorded to +the ``runs`` table (best-effort). Outputs that fit under ``RUN_OUTPUT_CHAR_CAP`` +are returned inline; larger ones are stored and the model gets a char-budgeted +preview plus a ``run_<id>`` reference it can page with ``read_run``/``search_run``. +Those two read tools are appended to the tool list so every capability-using +subagent can follow a truncation reference without extra wiring. +""" + +from __future__ import annotations + +import time + +from langchain_core.tools import BaseTool, StructuredTool + +from app.capabilities.core.billing import charge_capability, gate_capability +from app.capabilities.core.progress import progress_scope +from app.capabilities.core.runs import ( + RUN_OUTPUT_CHAR_CAP, + record_run, + serialize_output, +) +from app.capabilities.core.store import all_capabilities +from app.capabilities.core.types import Capability, CapabilityContext +from app.db import async_session_maker +from app.services.web_crawl_credit_service import InsufficientCreditsError + + +def build_capability_tools( + *, + workspace_id: int, + capabilities: list[Capability] | None = None, +) -> list[BaseTool]: + """Emit one tool per verb (defaults to the whole registry), plus the run readers.""" + caps = capabilities if capabilities is not None else all_capabilities() + tools = [_capability_tool(cap, workspace_id) for cap in caps] + # Deferred import: the reader lives in the agents package (which imports from + # here), so importing it lazily avoids an import-time cycle. + from app.agents.chat.multi_agent_chat.subagents.shared.run_reader import ( + build_run_reader_tools, + ) + + tools.extend(build_run_reader_tools(workspace_id=workspace_id)) + return tools + + +def _current_thread_id() -> str | None: + """Best-effort ``configurable.thread_id`` from the active LangGraph config.""" + try: + from langgraph.config import get_config + + cfg = get_config() + tid = (cfg.get("configurable") or {}).get("thread_id") + return str(tid) if tid is not None else None + except Exception: + return None + + +def _capability_tool(capability: Capability, workspace_id: int) -> BaseTool: + input_model = capability.input_schema + unit = capability.billing_unit + executor = capability.executor + name = capability.name + + async def _run(**kwargs: object) -> dict | str: + payload = input_model(**kwargs) + input_dump = payload.model_dump(exclude_none=True) + thread_id = _current_thread_id() + + # A buffer-only reporter: coarse progress lands in ``runs.progress`` and, + # because we're inside a LangGraph tool call, ``emit_progress`` also fires + # ``scraper_progress`` custom events that surface on the chat thinking step. + with progress_scope() as reporter: + async with async_session_maker() as session: + ctx = CapabilityContext(session=session, workspace_id=workspace_id) + try: + await gate_capability(payload, unit, ctx) + except InsufficientCreditsError as exc: + return str(exc) + + started = time.perf_counter() + try: + output = await executor(payload) + except Exception as exc: + duration_ms = int((time.perf_counter() - started) * 1000) + async with async_session_maker() as rec_session: + await record_run( + rec_session, + workspace_id=workspace_id, + capability=name, + origin="agent", + status="error", + input=input_dump, + error=str(exc), + thread_id=thread_id, + duration_ms=duration_ms, + progress=reporter.coarse, + ) + raise + + duration_ms = int((time.perf_counter() - started) * 1000) + cost_micros = await charge_capability(output, unit, ctx) + + serialized = serialize_output(output) + async with async_session_maker() as rec_session: + run_id = await record_run( + rec_session, + workspace_id=workspace_id, + capability=name, + origin="agent", + status="success", + serialized=serialized, + input=input_dump, + thread_id=thread_id, + duration_ms=duration_ms, + cost_micros=cost_micros, + progress=reporter.coarse, + ) + + if serialized.char_count <= RUN_OUTPUT_CHAR_CAP: + dump = output.model_dump(exclude_none=True) + if run_id is not None: + dump["run_id"] = f"run_{run_id}" + return dump + + return _build_preview(serialized, run_id) + + return StructuredTool.from_function( + coroutine=_run, + name=name.replace(".", "_"), + description=capability.description, + args_schema=input_model, + ) + + +def _build_preview(serialized, run_id: str | None) -> str: + """Char-budgeted preview: whole JSONL items until the cap is spent.""" + lines = serialized.text.split("\n") + preview_lines: list[str] = [] + used = 0 + for line in lines: + cost = len(line) + 1 + if used + cost > RUN_OUTPUT_CHAR_CAP: + break + preview_lines.append(line) + used += cost + + if not preview_lines and lines: + # A single item larger than the cap: show a clipped head so the model + # still sees the shape and can page/search for the rest. + preview_lines = [lines[0][:RUN_OUTPUT_CHAR_CAP]] + + shown = len(preview_lines) + preview = "\n".join(preview_lines) + + if run_id is None: + return ( + f"{preview}\n\n...Showing {shown} of {serialized.item_count} items " + f"({serialized.char_count} chars). Full output unavailable (storage error)." + ) + return ( + f"{preview}\n\n...Showing {shown} of {serialized.item_count} items " + f"({serialized.char_count} chars). Full run stored as run_{run_id}. Use " + f"read_run('run_{run_id}', offset, limit) or search_run('run_{run_id}', " + "pattern) to inspect the rest." + ) diff --git a/surfsense_backend/app/capabilities/core/access/rate_limit.py b/surfsense_backend/app/capabilities/core/access/rate_limit.py new file mode 100644 index 000000000..6de7676ba --- /dev/null +++ b/surfsense_backend/app/capabilities/core/access/rate_limit.py @@ -0,0 +1,65 @@ +"""Per-workspace rate limit for the capability doors (05). + +A secondary abuse guard; the credit meter-gate (03c) is the primary control. +Fixed-window over Redis (shared across workers) with a per-worker in-memory +fallback when Redis is unavailable — mirroring the auth-endpoint limiter. +""" + +from __future__ import annotations + +import time +from collections import defaultdict +from threading import Lock + +from fastapi import HTTPException, Request, status + +from app.config import config + +CAPABILITY_RATE_LIMIT_PER_MINUTE = 120 +_WINDOW_SECONDS = 60 +_KEY_PREFIX = "surfsense:capability_rate_limit" + +_redis = None +_memory: dict[str, list[float]] = defaultdict(list) +_memory_lock = Lock() + + +def _redis_client(): + global _redis + if _redis is None: + import redis + + _redis = redis.from_url(config.REDIS_APP_URL, decode_responses=True) + return _redis + + +def _incr_memory(key: str, window_seconds: int) -> int: + now = time.monotonic() + with _memory_lock: + hits = [t for t in _memory[key] if now - t < window_seconds] + hits.append(now) + _memory[key] = hits + return len(hits) + + +def _incr(key: str, window_seconds: int) -> int: + """Increment the window counter for ``key`` and return the new count.""" + try: + client = _redis_client() + count = int(client.incr(key)) + if count == 1: + client.expire(key, window_seconds) + return count + except Exception: + return _incr_memory(key, window_seconds) + + +async def enforce_capability_rate_limit(request: Request) -> None: + """Cap requests per workspace per minute; raise 429 when exceeded.""" + workspace_id = request.path_params.get("workspace_id") + count = _incr(f"{_KEY_PREFIX}:{workspace_id}", _WINDOW_SECONDS) + if count > CAPABILITY_RATE_LIMIT_PER_MINUTE: + raise HTTPException( + status_code=status.HTTP_429_TOO_MANY_REQUESTS, + detail="Rate limit exceeded for this workspace. Try again shortly.", + ) diff --git a/surfsense_backend/app/capabilities/core/access/rest.py b/surfsense_backend/app/capabilities/core/access/rest.py new file mode 100644 index 000000000..328a7c5a1 --- /dev/null +++ b/surfsense_backend/app/capabilities/core/access/rest.py @@ -0,0 +1,637 @@ +"""Generate the REST door from the capability registry (05). + +One typed ``POST`` per verb under ``/workspaces/{id}/scrapers/{platform}/{verb}``; +each runs the same thin adapter: authn -> workspace authz -> meter-gate -> executor +-> charge -> typed output. Every request is recorded to the ``runs`` table +(best-effort) and its id returned via the ``X-Run-Id`` header. + +Runs can also be started in **async mode** (``?mode=async``): the POST inserts a +``running`` row, spawns the scrape as a background task, and returns ``202`` with +the run id. The client then tails ``GET .../runs/{run_id}/events`` (SSE) for live +progress and a terminal ``run.finished`` event, or cancels via +``POST .../runs/{run_id}/cancel``. Two ``GET`` routes expose the run history that +backs the Scraper-API logs UI. +""" + +import asyncio +import json +import logging +import time +import uuid +from datetime import datetime + +from fastapi import APIRouter, Depends, HTTPException, Query, Response, status +from fastapi.responses import JSONResponse, StreamingResponse +from pydantic import BaseModel +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.auth.context import AuthContext +from app.capabilities.core.access.rate_limit import enforce_capability_rate_limit +from app.capabilities.core.billing import ( + charge_capability, + gate_capability, + pricing_meters, +) +from app.capabilities.core.events import run_event_bus +from app.capabilities.core.progress import progress_scope +from app.capabilities.core.runs import ( + create_pending_run, + finalize_run, + record_run, + serialize_output, +) +from app.capabilities.core.store import all_capabilities +from app.capabilities.core.types import Capability, CapabilityContext +from app.db import Run, async_session_maker, get_async_session +from app.exceptions import ExternalServiceError, SurfSenseError +from app.services.web_crawl_credit_service import InsufficientCreditsError +from app.users import get_auth_context +from app.utils.rbac import check_workspace_access + +logger = logging.getLogger(__name__) + +_HEARTBEAT_SEC = 10 +_SSE_HEADERS = { + "Cache-Control": "no-cache", + "Connection": "keep-alive", + "X-Accel-Buffering": "no", +} + + +class PricingMeter(BaseModel): + """One live per-item rate a verb charges on, e.g. 3500 micro-USD per place.""" + + unit: str + micros_per_unit: int + + +class CapabilitySummary(BaseModel): + """A verb's identity + input/output JSON schemas + pricing, for the playground UI.""" + + name: str + description: str + input_schema: dict + output_schema: dict + # Empty list = free (billing disabled or an unmetered verb). + pricing: list[PricingMeter] = [] + + +class RunSummary(BaseModel): + """Metadata row for the runs list (output body + progress log omitted).""" + + id: str + capability: str + origin: str + status: str + item_count: int + char_count: int + duration_ms: int | None + cost_micros: int | None + error: str | None + created_at: datetime + + +class RunDetail(RunSummary): + """Full run including input, stored output, and the coarse progress log.""" + + thread_id: str | None + input: dict | None + output_text: str | None + progress: list[dict] | None + + +def _origin_for(auth: AuthContext) -> str: + """Session callers are the in-app UI; PAT/system callers are the public API.""" + return "ui" if getattr(auth, "method", None) == "session" else "api" + + +def _now_ms() -> int: + return int(time.time() * 1000) + + +def _sse(event: dict) -> str: + return f"data: {json.dumps(event, default=str)}\n\n" + + +async def _record_rest_run(**kwargs) -> str | None: + """Record a run on a dedicated session so it survives a failed request txn.""" + async with async_session_maker() as session: + return await record_run(session, **kwargs) + + +def build_capabilities_router( + capabilities: list[Capability] | None = None, +) -> APIRouter: + """Emit one typed route per verb (defaults to the whole registry) + run history.""" + router = APIRouter(tags=["scrapers"]) + caps = capabilities if capabilities is not None else all_capabilities() + for capability in caps: + _register_verb(router, capability) + _register_capabilities_list(router, caps) + _register_run_history(router) + return router + + +def _register_capabilities_list( + router: APIRouter, capabilities: list[Capability] +) -> None: + """Register the ``GET`` that lists verbs + their input schemas for the UI.""" + + # Schemas are static; pricing is attached per request because rates are + # read live from config (env retune + restart, no rebuild). + base_summaries = [ + ( + CapabilitySummary( + name=capability.name, + description=capability.description, + input_schema=capability.input_schema.model_json_schema(), + output_schema=capability.output_schema.model_json_schema(), + ), + capability.billing_unit, + ) + for capability in capabilities + ] + + async def list_capabilities( + workspace_id: int, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), + ) -> list[CapabilitySummary]: + await check_workspace_access(session, auth, workspace_id) + return [ + summary.model_copy( + update={"pricing": [PricingMeter(**m) for m in pricing_meters(unit)]} + ) + for summary, unit in base_summaries + ] + + router.add_api_route( + "/workspaces/{workspace_id}/scrapers/capabilities", + list_capabilities, + methods=["GET"], + response_model=list[CapabilitySummary], + name="scraper:list_capabilities", + ) + + +async def _execute_async_run( + *, + run_id: str, + workspace_id: int, + capability: str, + unit, + executor, + payload, +) -> None: + """Run a scrape in the background: stream progress, charge, finalize the row. + + Owns its own DB sessions (the request session is long gone). Cancellation is + finalized by the cancel endpoint, so here we simply let ``CancelledError`` + propagate. Every other failure finalizes the row as ``error`` and emits a + terminal event so subscribers unblock. + """ + prefixed = f"run_{run_id}" + started = time.perf_counter() + with progress_scope(run_id=run_id, bus=run_event_bus) as reporter: + run_event_bus.publish( + run_id, + { + "type": "run.started", + "run_id": prefixed, + "capability": capability, + "ts": _now_ms(), + }, + ) + try: + output = await executor(payload) + except asyncio.CancelledError: + raise + except (SurfSenseError, HTTPException) as exc: + await _finalize_async( + run_id, + status="error", + error=str(exc), + started=started, + progress=reporter.coarse, + ) + _publish_finished(run_id, "error", error=str(exc)) + return + except Exception: + logger.exception("async run %s failed with an upstream error", run_id) + await _finalize_async( + run_id, + status="error", + error=f"The '{capability}' capability failed due to an upstream error.", + started=started, + progress=reporter.coarse, + ) + _publish_finished(run_id, "error", error="upstream error") + return + + duration_ms = int((time.perf_counter() - started) * 1000) + cost_micros: int | None + try: + async with async_session_maker() as session: + ctx = CapabilityContext(session=session, workspace_id=workspace_id) + cost_micros = await charge_capability(output, unit, ctx) + except Exception: + logger.exception("charge failed for async run %s", run_id) + cost_micros = None + + serialized = serialize_output(output) + await _finalize_async( + run_id, + status="success", + serialized=serialized, + started=started, + duration_ms=duration_ms, + cost_micros=cost_micros, + progress=reporter.coarse, + ) + _publish_finished(run_id, "success", item_count=serialized.item_count) + + +async def _finalize_async( + run_id: str, + *, + status: str, + serialized=None, + error: str | None = None, + started: float | None = None, + duration_ms: int | None = None, + cost_micros: int | None = None, + progress: list[dict] | None = None, +) -> None: + if duration_ms is None and started is not None: + duration_ms = int((time.perf_counter() - started) * 1000) + async with async_session_maker() as session: + await finalize_run( + session, + run_id=run_id, + status=status, + serialized=serialized, + error=error, + duration_ms=duration_ms, + cost_micros=cost_micros, + progress=progress, + ) + + +def _publish_finished(run_id: str, status: str, **extra) -> None: + """Emit the terminal event to subscribers, then drop the run's bus state.""" + event = { + "type": "run.finished", + "run_id": f"run_{run_id}", + "status": status, + "ts": _now_ms(), + } + event.update(extra) + run_event_bus.publish(run_id, event) + run_event_bus.close(run_id) + + +def _log_task_result(run_id: str, task: asyncio.Task) -> None: + if task.cancelled(): + return + exc = task.exception() + if exc is not None: + logger.error("async run %s task crashed: %r", run_id, exc) + + +def _register_verb(router: APIRouter, capability: Capability) -> None: + input_model = capability.input_schema + output_model = capability.output_schema + unit = capability.billing_unit + executor = capability.executor + name = capability.name + platform, _, verb = name.partition(".") + + async def endpoint( + workspace_id: int, + payload: input_model, + response: Response, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), + mode: str = Query(default="sync", pattern="^(sync|async)$"), + ): + await check_workspace_access(session, auth, workspace_id) + ctx = CapabilityContext(session=session, workspace_id=workspace_id) + try: + await gate_capability(payload, unit, ctx) + except InsufficientCreditsError as exc: + raise HTTPException( + status_code=status.HTTP_402_PAYMENT_REQUIRED, + detail={ + "error_code": "insufficient_credits", + "message": str(exc), + "balance_micros": exc.balance_micros, + "required_micros": exc.required_micros, + }, + ) from exc + + input_dump = payload.model_dump(exclude_none=True) + user_id = getattr(auth.user, "id", None) + origin = _origin_for(auth) + + if mode == "async": + run_id = await create_pending_run( + session, + workspace_id=workspace_id, + capability=name, + origin=origin, + input=input_dump, + user_id=user_id, + ) + if run_id is None: + raise HTTPException( + status_code=status.HTTP_503_SERVICE_UNAVAILABLE, + detail="Could not start run.", + ) + task = asyncio.create_task( + _execute_async_run( + run_id=run_id, + workspace_id=workspace_id, + capability=name, + unit=unit, + executor=executor, + payload=payload, + ) + ) + run_event_bus.register_task(run_id, task) + task.add_done_callback(lambda t: _log_task_result(run_id, t)) + return JSONResponse( + status_code=status.HTTP_202_ACCEPTED, + content={"run_id": f"run_{run_id}", "status": "running"}, + ) + + # Sync mode: block until done, persisting the coarse progress log. + with progress_scope() as reporter: + started = time.perf_counter() + try: + output = await executor(payload) + except (SurfSenseError, HTTPException) as exc: + await _record_rest_run( + workspace_id=workspace_id, + capability=name, + origin=origin, + status="error", + input=input_dump, + user_id=user_id, + error=str(exc), + duration_ms=int((time.perf_counter() - started) * 1000), + progress=reporter.coarse, + ) + raise + except Exception as exc: + await _record_rest_run( + workspace_id=workspace_id, + capability=name, + origin=origin, + status="error", + input=input_dump, + user_id=user_id, + error=str(exc), + duration_ms=int((time.perf_counter() - started) * 1000), + progress=reporter.coarse, + ) + raise ExternalServiceError( + f"The '{name}' capability failed due to an upstream error.", + code="CAPABILITY_UPSTREAM_ERROR", + ) from exc + + duration_ms = int((time.perf_counter() - started) * 1000) + cost_micros = await charge_capability(output, unit, ctx) + + serialized = serialize_output(output) + run_id = await _record_rest_run( + workspace_id=workspace_id, + capability=name, + origin=origin, + status="success", + serialized=serialized, + input=input_dump, + user_id=user_id, + duration_ms=duration_ms, + cost_micros=cost_micros, + progress=reporter.coarse, + ) + if run_id is not None: + response.headers["X-Run-Id"] = f"run_{run_id}" + return output + + router.add_api_route( + f"/workspaces/{{workspace_id}}/scrapers/{platform}/{verb}", + endpoint, + methods=["POST"], + response_model=output_model, + name=f"scraper:{name}", + dependencies=[Depends(enforce_capability_rate_limit)], + ) + + +def _parse_run_uuid(run_id: str) -> uuid.UUID: + raw = run_id[len("run_") :] if run_id.startswith("run_") else run_id + try: + return uuid.UUID(raw) + except ValueError as exc: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, detail="Run not found." + ) from exc + + +async def _load_run( + session: AsyncSession, workspace_id: int, parsed_id: uuid.UUID +) -> Run: + row = ( + await session.execute( + select(Run).where(Run.id == parsed_id, Run.workspace_id == workspace_id) + ) + ).scalar_one_or_none() + if row is None: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, detail="Run not found." + ) + return row + + +def _register_run_history(router: APIRouter) -> None: + """Register the run list/detail + live-events + cancel routes.""" + + async def list_runs( + workspace_id: int, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), + limit: int = Query(default=50, ge=1, le=100), + offset: int = Query(default=0, ge=0), + capability: str | None = Query(default=None), + run_status: str | None = Query(default=None, alias="status"), + ) -> list[RunSummary]: + await check_workspace_access(session, auth, workspace_id) + stmt = select(Run).where(Run.workspace_id == workspace_id) + if capability: + stmt = stmt.where(Run.capability == capability) + if run_status: + stmt = stmt.where(Run.status == run_status) + stmt = stmt.order_by(Run.created_at.desc()).limit(limit).offset(offset) + rows = (await session.execute(stmt)).scalars().all() + return [_to_summary(row) for row in rows] + + async def get_run( + workspace_id: int, + run_id: str, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), + ) -> RunDetail: + await check_workspace_access(session, auth, workspace_id) + parsed_id = _parse_run_uuid(run_id) + row = await _load_run(session, workspace_id, parsed_id) + return _to_detail(row) + + async def stream_run_events( + workspace_id: int, + run_id: str, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), + ): + """SSE tail of a run's progress: replay buffered events, then live. + + Note: the request ``session`` must not be used inside the generator (it + is torn down once the response starts streaming) — the generator opens + its own session for the terminal snapshot. + """ + await check_workspace_access(session, auth, workspace_id) + parsed_id = _parse_run_uuid(run_id) + await _load_run(session, workspace_id, parsed_id) # authz + 404 + raw = str(parsed_id) + + async def gen(): + queue = run_event_bus.subscribe(raw) + try: + replayed = list(run_event_bus.replay(raw)) + for event in replayed: + yield _sse(event) + if any(e.get("type") == "run.finished" for e in replayed): + return + if run_event_bus.get_task(raw) is None: + # Not actively streaming (finished before we attached, or a + # sync/agent run) — snapshot the terminal state and close. + async with async_session_maker() as snap_session: + row = ( + await snap_session.execute( + select(Run).where( + Run.id == parsed_id, + Run.workspace_id == workspace_id, + ) + ) + ).scalar_one_or_none() + yield _sse( + { + "type": "run.finished", + "run_id": f"run_{raw}", + "status": row.status if row else "error", + "item_count": row.item_count if row else 0, + "error": row.error if row else None, + "ts": _now_ms(), + } + ) + return + while True: + try: + event = await asyncio.wait_for( + queue.get(), timeout=_HEARTBEAT_SEC + ) + except TimeoutError: + yield _sse({"type": "run.heartbeat", "ts": _now_ms()}) + continue + yield _sse(event) + if event.get("type") == "run.finished": + return + finally: + run_event_bus.unsubscribe(raw, queue) + + return StreamingResponse( + gen(), media_type="text/event-stream", headers=_SSE_HEADERS + ) + + async def cancel_run( + workspace_id: int, + run_id: str, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), + ): + await check_workspace_access(session, auth, workspace_id) + parsed_id = _parse_run_uuid(run_id) + row = await _load_run(session, workspace_id, parsed_id) + if row.status != "running": + raise HTTPException( + status_code=status.HTTP_409_CONFLICT, + detail="Run is not in progress.", + ) + raw = str(parsed_id) + task = run_event_bus.get_task(raw) + if task is not None and not task.done(): + task.cancel() + # No output produced -> nothing charged. ponytail: any pre-cancel captcha + # attempts go unbilled; upgrade path is charging from progress counters. + async with async_session_maker() as cancel_session: + await finalize_run( + cancel_session, + run_id=raw, + status="cancelled", + error="Cancelled by user", + ) + _publish_finished(raw, "cancelled") + return JSONResponse(content={"run_id": f"run_{raw}", "status": "cancelled"}) + + router.add_api_route( + "/workspaces/{workspace_id}/scrapers/runs", + list_runs, + methods=["GET"], + response_model=list[RunSummary], + name="scraper:list_runs", + ) + router.add_api_route( + "/workspaces/{workspace_id}/scrapers/runs/{run_id}", + get_run, + methods=["GET"], + response_model=RunDetail, + name="scraper:get_run", + ) + router.add_api_route( + "/workspaces/{workspace_id}/scrapers/runs/{run_id}/events", + stream_run_events, + methods=["GET"], + name="scraper:stream_run_events", + ) + router.add_api_route( + "/workspaces/{workspace_id}/scrapers/runs/{run_id}/cancel", + cancel_run, + methods=["POST"], + name="scraper:cancel_run", + ) + + +def _to_summary(row: Run) -> RunSummary: + return RunSummary( + id=f"run_{row.id}", + capability=row.capability, + origin=row.origin, + status=row.status, + item_count=row.item_count, + char_count=row.char_count, + duration_ms=row.duration_ms, + cost_micros=row.cost_micros, + error=row.error, + created_at=row.created_at, + ) + + +def _to_detail(row: Run) -> RunDetail: + return RunDetail( + **_to_summary(row).model_dump(), + thread_id=row.thread_id, + input=row.input, + output_text=row.output_text, + progress=row.progress, + ) diff --git a/surfsense_backend/app/capabilities/core/billing.py b/surfsense_backend/app/capabilities/core/billing.py new file mode 100644 index 000000000..71aa45c58 --- /dev/null +++ b/surfsense_backend/app/capabilities/core/billing.py @@ -0,0 +1,284 @@ +"""Charge the workspace owner per billable success at the capability executor (03c).""" + +from __future__ import annotations + +from typing import TYPE_CHECKING + +from sqlalchemy import select + +from app.capabilities.core.types import ( + BillableInput, + BillableOutput, + BillingUnit, + CapabilityContext, +) +from app.config import config +from app.services import wallet_credit +from app.services.platform_scrape_credit_service import PlatformScrapeCreditService +from app.services.token_tracking_service import record_token_usage +from app.services.web_crawl_credit_service import WebCrawlCreditService +from app.utils.captcha import captcha_enabled + +if TYPE_CHECKING: + from uuid import UUID + + from sqlalchemy.ext.asyncio import AsyncSession + + +# Each platform meter -> the config knob holding its micro-USD per-item rate. +# The rate is looked up live (not cached) so an env retune + restart takes +# effect without a code change, mirroring the crawl biller. +_PLATFORM_RATE_KEYS: dict[BillingUnit, str] = { + BillingUnit.REDDIT_ITEM: "REDDIT_SCRAPE_MICROS_PER_ITEM", + BillingUnit.GOOGLE_SEARCH_SERP: "GOOGLE_SEARCH_MICROS_PER_SERP", + BillingUnit.GOOGLE_MAPS_PLACE: "GOOGLE_MAPS_MICROS_PER_PLACE", + BillingUnit.GOOGLE_MAPS_REVIEW: "GOOGLE_MAPS_MICROS_PER_REVIEW", + BillingUnit.YOUTUBE_VIDEO: "YOUTUBE_MICROS_PER_VIDEO", + BillingUnit.YOUTUBE_COMMENT: "YOUTUBE_MICROS_PER_COMMENT", +} + + +def _platform_rate(unit: BillingUnit) -> int: + """Micro-USD per item for a platform meter, read live from config.""" + return int(getattr(config, _PLATFORM_RATE_KEYS[unit])) + + +# Display noun for each platform meter, e.g. "$3.50 / 1k places". +_UNIT_NOUNS: dict[BillingUnit, str] = { + BillingUnit.REDDIT_ITEM: "item", + BillingUnit.GOOGLE_SEARCH_SERP: "SERP", + BillingUnit.GOOGLE_MAPS_PLACE: "place", + BillingUnit.GOOGLE_MAPS_REVIEW: "review", + BillingUnit.YOUTUBE_VIDEO: "video", + BillingUnit.YOUTUBE_COMMENT: "comment", +} + + +def pricing_meters(unit: BillingUnit | None) -> list[dict]: + """The live per-item rates a verb charges, for UI display. Empty = free. + + Mirrors the gate/charge logic exactly: meters whose billing flag is off are + omitted, so a self-hosted install with billing disabled reads as free. + """ + if unit is None: + return [] + if unit is BillingUnit.WEB_CRAWL: + meters = [] + if WebCrawlCreditService.billing_enabled(): + meters.append( + {"unit": "page", "micros_per_unit": config.WEB_CRAWL_MICROS_PER_SUCCESS} + ) + if WebCrawlCreditService.captcha_billing_enabled() and captcha_enabled(): + meters.append( + { + "unit": "captcha solve", + "micros_per_unit": config.WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE, + } + ) + return meters + if not config.PLATFORM_SCRAPE_BILLING_ENABLED: + return [] + meters = [{"unit": _UNIT_NOUNS[unit], "micros_per_unit": _platform_rate(unit)}] + if unit is BillingUnit.GOOGLE_MAPS_PLACE: + # Dual-metered: attached reviews bill on their own meter. + meters.append( + { + "unit": _UNIT_NOUNS[BillingUnit.GOOGLE_MAPS_REVIEW], + "micros_per_unit": _platform_rate(BillingUnit.GOOGLE_MAPS_REVIEW), + } + ) + return meters + + +async def gate_capability( + payload: BillableInput, unit: BillingUnit | None, ctx: CapabilityContext +) -> None: + """Pre-flight: block an over-budget owner before the executor runs (03c). + + Raises ``InsufficientCreditsError`` when the wallet can't cover the input's + worst-case ``estimated_units``. ``None`` unit = free = no gate. + """ + if unit is None: + return + if unit is BillingUnit.WEB_CRAWL: + await _gate_web_crawl(ctx, payload.estimated_units) + return + await _gate_platform(payload, unit, ctx) + + +async def _gate_web_crawl(ctx: CapabilityContext, estimated_successes: int) -> None: + """Reserve the worst-case cost: crawl successes + worst-case captcha attempts. + + Captcha budget is only reserved when solving is actually enabled — with + solving off, attempts can never happen, so reserving would wrongly block a + run for captcha that will never be attempted. Mirrors the indexer path (3d). + """ + service = WebCrawlCreditService(ctx.session) + crawl_on = service.billing_enabled() + captcha_on = service.captcha_billing_enabled() and captcha_enabled() + if not crawl_on and not captcha_on: + return + owner_user_id = await _resolve_workspace_owner(ctx.session, ctx.workspace_id) + if owner_user_id is None: + return + + required_micros = 0 + if crawl_on: + required_micros += service.successes_to_micros(estimated_successes) + if captcha_on: + worst_case_attempts = estimated_successes * config.CAPTCHA_MAX_ATTEMPTS_PER_URL + required_micros += service.captcha_solves_to_micros(worst_case_attempts) + await service.check_balance(owner_user_id, required_micros) + + +async def _gate_platform( + payload: BillableInput, unit: BillingUnit, ctx: CapabilityContext +) -> None: + """Reserve the worst-case per-item cost for a platform scraper verb. + + ``google_maps.scrape`` is dual-metered: it can attach reviews per place, so + its gate also reserves ``estimated_review_units`` at the review rate — same + two-meters-one-verb shape as crawl + captcha. + """ + service = PlatformScrapeCreditService(ctx.session) + if not service.billing_enabled(): + return + owner_user_id = await _resolve_workspace_owner(ctx.session, ctx.workspace_id) + if owner_user_id is None: + return + + required_micros = service.items_to_micros( + payload.estimated_units, _platform_rate(unit) + ) + if unit is BillingUnit.GOOGLE_MAPS_PLACE: + review_units = getattr(payload, "estimated_review_units", 0) + required_micros += service.items_to_micros( + review_units, _platform_rate(BillingUnit.GOOGLE_MAPS_REVIEW) + ) + await wallet_credit.check_balance(ctx.session, owner_user_id, required_micros) + + +async def charge_capability( + output: BillableOutput, unit: BillingUnit | None, ctx: CapabilityContext +) -> int: + """Bill the workspace owner for this result and return the micros charged. + + For crawl-backed verbs this also bills any captcha *attempts* (Phase 3d) as a + separate per-attempt unit — the solver charges per attempt even when the crawl + ultimately failed, so it can't ride the per-success crawl meter. Platform + verbs bill per item returned; ``google_maps.scrape`` additionally bills its + attached reviews. ``None`` unit = free = returns 0. + + The returned total lets the doors persist a per-run ``cost_micros``. + """ + if unit is None: + return 0 + if unit is BillingUnit.WEB_CRAWL: + charged = await _charge_web_crawl(ctx, output.billable_units) + charged += await _charge_captcha(ctx, getattr(output, "captcha_attempts", 0)) + return charged + return await _charge_platform(output, unit, ctx) + + +async def _charge_web_crawl(ctx: CapabilityContext, successes: int) -> int: + if successes <= 0: + return 0 + service = WebCrawlCreditService(ctx.session) + if not service.billing_enabled(): + return 0 + owner_user_id = await _resolve_workspace_owner(ctx.session, ctx.workspace_id) + if owner_user_id is None: + return 0 + cost_micros = service.successes_to_micros(successes) + # Stage the audit row before charge_credits' commit flushes both. + await record_token_usage( + ctx.session, + usage_type="web_crawl", + workspace_id=ctx.workspace_id, + user_id=owner_user_id, + cost_micros=cost_micros, + call_details={"successes": successes}, + ) + await service.charge_credits(owner_user_id, successes) + return cost_micros + + +async def _charge_captcha(ctx: CapabilityContext, attempts: int) -> int: + if attempts <= 0: + return 0 + service = WebCrawlCreditService(ctx.session) + if not service.captcha_billing_enabled(): + return 0 + owner_user_id = await _resolve_workspace_owner(ctx.session, ctx.workspace_id) + if owner_user_id is None: + return 0 + cost_micros = service.captcha_solves_to_micros(attempts) + # Stage the audit row before charge_captcha's commit flushes both. + await record_token_usage( + ctx.session, + usage_type="web_crawl_captcha", + workspace_id=ctx.workspace_id, + user_id=owner_user_id, + cost_micros=cost_micros, + call_details={"attempts": attempts}, + ) + await service.charge_captcha(owner_user_id, attempts) + return cost_micros + + +async def _charge_platform( + output: BillableOutput, unit: BillingUnit, ctx: CapabilityContext +) -> int: + """Charge a platform verb per item; dual-meter ``google_maps.scrape`` reviews.""" + service = PlatformScrapeCreditService(ctx.session) + if not service.billing_enabled(): + return 0 + owner_user_id = await _resolve_workspace_owner(ctx.session, ctx.workspace_id) + if owner_user_id is None: + return 0 + + charged = await _charge_platform_meter( + service, ctx, owner_user_id, unit, output.billable_units + ) + if unit is BillingUnit.GOOGLE_MAPS_PLACE: + reviews = getattr(output, "attached_review_count", 0) + charged += await _charge_platform_meter( + service, ctx, owner_user_id, BillingUnit.GOOGLE_MAPS_REVIEW, reviews + ) + return charged + + +async def _charge_platform_meter( + service: PlatformScrapeCreditService, + ctx: CapabilityContext, + owner_user_id: UUID, + unit: BillingUnit, + items: int, +) -> int: + if items <= 0: + return 0 + rate = _platform_rate(unit) + cost_micros = service.items_to_micros(items, rate) + # Stage the audit row before charge's commit flushes both. + await record_token_usage( + ctx.session, + usage_type=unit.value, + workspace_id=ctx.workspace_id, + user_id=owner_user_id, + cost_micros=cost_micros, + call_details={"items": items}, + ) + await service.charge(owner_user_id, items, rate) + return cost_micros + + +async def _resolve_workspace_owner( + session: AsyncSession, workspace_id: int +) -> UUID | None: + """The ``user_id`` that owns ``workspace_id`` (the crawl payer, not the caller).""" + from app.db import Workspace + + result = await session.execute( + select(Workspace.user_id).where(Workspace.id == workspace_id) + ) + return result.scalar_one_or_none() diff --git a/surfsense_backend/app/capabilities/core/events.py b/surfsense_backend/app/capabilities/core/events.py new file mode 100644 index 000000000..625a79bfd --- /dev/null +++ b/surfsense_backend/app/capabilities/core/events.py @@ -0,0 +1,97 @@ +"""In-process pub/sub bus for streaming a scraper run's progress over SSE. + +One process, one bus (the module-level :data:`run_event_bus`). Per ``run_id`` it +holds three things: + +* a set of subscriber ``asyncio.Queue`` s — one per open SSE connection; +* a bounded ring buffer of recent events so a late/reconnecting subscriber can + replay what it missed before tailing live; +* the background ``asyncio.Task`` running the scrape, so the cancel endpoint can + reach it. + +State for a run is dropped when it reaches a terminal event (``run.finished``); +a client that connects *after* that reads the final snapshot from the ``runs`` +row instead. ``ponytail:`` single-process only — a multi-worker deployment needs +Redis pub/sub (or Postgres LISTEN/NOTIFY) behind this same interface. +""" + +from __future__ import annotations + +import asyncio +import logging +from collections import deque +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from collections.abc import Iterable + +logger = logging.getLogger(__name__) + +_BUFFER_SIZE = 500 +_SUBSCRIBER_QUEUE_SIZE = 1000 + + +class RunEventBus: + """Fan-out of per-run progress events to live SSE subscribers.""" + + def __init__(self, *, buffer_size: int = _BUFFER_SIZE) -> None: + self._subscribers: dict[str, set[asyncio.Queue[dict[str, Any]]]] = {} + self._buffers: dict[str, deque[dict[str, Any]]] = {} + self._tasks: dict[str, asyncio.Task[Any]] = {} + self._buffer_size = buffer_size + + # -- task registry (for cancellation) -------------------------------- + + def register_task(self, run_id: str, task: asyncio.Task[Any]) -> None: + self._tasks[run_id] = task + + def get_task(self, run_id: str) -> asyncio.Task[Any] | None: + return self._tasks.get(run_id) + + # -- publish / subscribe --------------------------------------------- + + def publish(self, run_id: str, event: dict[str, Any]) -> None: + """Buffer an event and fan it out to every live subscriber. + + Called from within the event loop by the running scrape. Full + subscriber queues drop the event rather than block the scrape; + the replay buffer still preserves recent history. + """ + buffer = self._buffers.setdefault(run_id, deque(maxlen=self._buffer_size)) + buffer.append(event) + for queue in list(self._subscribers.get(run_id, ())): + try: + queue.put_nowait(event) + except asyncio.QueueFull: + logger.debug("run %s: subscriber queue full, dropping event", run_id) + + def subscribe(self, run_id: str) -> asyncio.Queue[dict[str, Any]]: + queue: asyncio.Queue[dict[str, Any]] = asyncio.Queue( + maxsize=_SUBSCRIBER_QUEUE_SIZE + ) + self._subscribers.setdefault(run_id, set()).add(queue) + return queue + + def unsubscribe(self, run_id: str, queue: asyncio.Queue[dict[str, Any]]) -> None: + subscribers = self._subscribers.get(run_id) + if subscribers is None: + return + subscribers.discard(queue) + if not subscribers: + self._subscribers.pop(run_id, None) + + def replay(self, run_id: str) -> Iterable[dict[str, Any]]: + return list(self._buffers.get(run_id, ())) + + def close(self, run_id: str) -> None: + """Drop all state for a finished run. + + Terminal events are published *before* this, so any live subscriber has + already received ``run.finished`` in its queue and will break its loop. + """ + self._buffers.pop(run_id, None) + self._subscribers.pop(run_id, None) + self._tasks.pop(run_id, None) + + +run_event_bus = RunEventBus() diff --git a/surfsense_backend/app/capabilities/core/progress.py b/surfsense_backend/app/capabilities/core/progress.py new file mode 100644 index 000000000..223760fa3 --- /dev/null +++ b/surfsense_backend/app/capabilities/core/progress.py @@ -0,0 +1,163 @@ +"""Live progress plumbing shared by every capability run. + +A single module-level :func:`emit_progress` lets the proprietary scraper code +report what it is doing without knowing *who* is listening. The active listener +is held in a :class:`contextvars.ContextVar`, so: + +* the REST async door sets a reporter bound to the run's bus channel — every + event is streamed live over SSE and coarse ones are buffered for persistence; +* the REST sync door and the agent door set a buffer-only reporter — coarse + events still land in ``runs.progress`` and (in a chat/graph context) surface + as ``scraper_progress`` custom events on the active thinking step; +* outside any run (unit tests calling a scraper directly) the var is unset and + :func:`emit_progress` is a **no-op**, so scraper code can call it freely. + +The event shape is one flexible dict, not a class hierarchy:: + + {"type": "run.progress", "ts": <epoch ms>, "phase": str, + "message"?: str, "current"?: int, "total"?: int, "unit"?: str, + "detail"?: {...}} +""" + +from __future__ import annotations + +import contextlib +import logging +import time +from contextvars import ContextVar +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from collections.abc import Iterator + + from app.capabilities.core.events import RunEventBus + +logger = logging.getLogger(__name__) + +# Coarse counters are persisted/chat-surfaced at most once per this window per +# (phase, unit) key; the raw fine-grained stream is unthrottled on the bus. +_COUNTER_THROTTLE_MS = 1000 +# ponytail: bound the persisted coarse log so a runaway scrape can't write an +# unbounded JSONB blob. Upgrade path: page the log into its own table. +_MAX_COARSE_EVENTS = 1000 + + +class ProgressReporter: + """Sink for one run's progress events. + + Publishes every event to the bus (live SSE tail) and keeps a throttled, + bounded list of *coarse* events for persistence + chat surfacing. + """ + + def __init__( + self, *, run_id: str | None = None, bus: RunEventBus | None = None + ) -> None: + self.run_id = run_id + self.bus = bus + self.coarse: list[dict[str, Any]] = [] + self._last_phase: str | None = None + self._last_counter_ts: dict[tuple[str, str | None], int] = {} + + def handle(self, event: dict[str, Any]) -> None: + # Live tail: every event, unthrottled (this is the "stream everything"). + if self.bus is not None and self.run_id is not None: + self.bus.publish(self.run_id, event) + + if not self._is_coarse(event): + return + + if len(self.coarse) < _MAX_COARSE_EVENTS: + self.coarse.append(event) + # Chat surface: coarse events become thinking-step items when a LangGraph + # run context is active (agent door). No-op elsewhere. + _dispatch_chat_event(event) + + def _is_coarse(self, event: dict[str, Any]) -> bool: + phase = event.get("phase", "") + if phase != self._last_phase: + self._last_phase = phase + self._last_counter_ts.clear() + return True + if "current" not in event: + return True + key = (phase, event.get("unit")) + now = int(event.get("ts", 0)) + last = self._last_counter_ts.get(key, 0) + if now - last >= _COUNTER_THROTTLE_MS: + self._last_counter_ts[key] = now + return True + return False + + +_active_reporter: ContextVar[ProgressReporter | None] = ContextVar( + "active_progress_reporter", default=None +) + + +def emit_progress( + phase: str, + message: str | None = None, + *, + current: int | None = None, + total: int | None = None, + unit: str | None = None, + **detail: Any, +) -> None: + """Report a progress event for the active run; a no-op when none is active. + + Safe to call from anywhere in the scraper code path — never raises into the + caller. + """ + reporter = _active_reporter.get() + if reporter is None: + return + try: + event: dict[str, Any] = { + "type": "run.progress", + "ts": int(time.time() * 1000), + "phase": phase, + } + if message is not None: + event["message"] = message + if current is not None: + event["current"] = current + if total is not None: + event["total"] = total + if unit is not None: + event["unit"] = unit + if detail: + event["detail"] = detail + reporter.handle(event) + except Exception: # pragma: no cover - progress must never break a scrape + logger.debug("emit_progress failed; suppressed", exc_info=True) + + +@contextlib.contextmanager +def progress_scope( + *, run_id: str | None = None, bus: RunEventBus | None = None +) -> Iterator[ProgressReporter]: + """Bind a :class:`ProgressReporter` for the duration of a run. + + The contextvar set here propagates to every coroutine awaited inside the + ``with`` block (same task), so deep scraper code sees it without wiring. + """ + reporter = ProgressReporter(run_id=run_id, bus=bus) + token = _active_reporter.set(reporter) + try: + yield reporter + finally: + _active_reporter.reset(token) + + +def _dispatch_chat_event(event: dict[str, Any]) -> None: + """Best-effort forward to the chat SSE relay via a LangGraph custom event. + + Only meaningful inside an agent tool call (there is a run context); raises + otherwise, which we swallow — mirrors ``retry_after``'s guarded dispatch. + """ + try: + from langchain_core.callbacks import dispatch_custom_event + + dispatch_custom_event("scraper_progress", event) + except Exception: + logger.debug("scraper_progress dispatch skipped (no run context)") diff --git a/surfsense_backend/app/capabilities/core/runs.py b/surfsense_backend/app/capabilities/core/runs.py new file mode 100644 index 000000000..161ec0bf7 --- /dev/null +++ b/surfsense_backend/app/capabilities/core/runs.py @@ -0,0 +1,309 @@ +"""Shared run recorder: persist one ``runs`` row per capability invocation. + +Both doors (the agent tool adapter and the REST endpoint) call :func:`record_run` +so agent and API runs land identically. Output is serialized to JSONL (one item +per line, ``exclude_none``) so the ``read_run``/``search_run`` tools can page and +grep by line. Recording is best-effort: a failure here never fails an otherwise +successful scrape — the caller degrades gracefully on a ``None`` return. +""" + +from __future__ import annotations + +import json +import logging +import random +from dataclasses import dataclass +from datetime import UTC, datetime, timedelta +from typing import TYPE_CHECKING, Any + +from pydantic import BaseModel +from sqlalchemy import text + +from app.db import Run, ToolOutputSpill + +if TYPE_CHECKING: + from sqlalchemy.ext.asyncio import AsyncSession + +logger = logging.getLogger(__name__) + +RUN_OUTPUT_CHAR_CAP = 40_000 +"""~10k tokens. Capability outputs at/under this are returned inline; larger ones +are stored and previewed. Read-tool responses pass through the same cap.""" + +RUNS_RETENTION_DAYS = 30 +SPILLS_RETENTION_DAYS = 7 +_CLEANUP_BATCH = 200 +_CLEANUP_SAMPLE_RATE = 0.01 +"""ponytail: opportunistic bounded cleanup fired on ~1% of inserts. A dedicated +cron/scheduler is the upgrade path if row volume ever outpaces this.""" + + +@dataclass(frozen=True) +class SerializedOutput: + """A capability output flattened to JSONL, computed once and reused.""" + + text: str + item_count: int + char_count: int + + +def serialize_output(output: BaseModel) -> SerializedOutput: + """Flatten a capability output to JSONL (one item per line, ``exclude_none``). + + Capability outputs wrap their results in an ``items`` list; each item becomes + one JSON line so line-based paging/grep works. A non-``items`` output is dumped + as a single line. + """ + items = getattr(output, "items", None) + if isinstance(items, list): + lines = [ + json.dumps(_dump(item), default=str, ensure_ascii=False) for item in items + ] + else: + lines = [ + json.dumps( + output.model_dump(exclude_none=True), default=str, ensure_ascii=False + ) + ] + + body = "\n".join(lines) + return SerializedOutput(text=body, item_count=len(lines), char_count=len(body)) + + +def _dump(item: Any) -> Any: + if isinstance(item, BaseModel): + return item.model_dump(exclude_none=True) + return item + + +async def record_run( + session: AsyncSession, + *, + workspace_id: int, + capability: str, + origin: str, + status: str, + serialized: SerializedOutput | None = None, + input: dict | None = None, + user_id: Any | None = None, + thread_id: str | None = None, + error: str | None = None, + duration_ms: int | None = None, + cost_micros: int | None = None, + progress: list[dict[str, Any]] | None = None, +) -> str | None: + """Persist a run row and return its id, or ``None`` on failure (best-effort). + + Both doors pass a dedicated session (from ``async_session_maker``), so this + function owns the commit — recording never entangles the request transaction + and survives an executor error that leaves the request session unusable. + """ + try: + run = Run( + workspace_id=workspace_id, + user_id=user_id, + thread_id=thread_id, + capability=capability, + origin=origin, + status=status, + error=error, + input=input, + output_text=serialized.text if serialized else None, + item_count=serialized.item_count if serialized else 0, + char_count=serialized.char_count if serialized else 0, + duration_ms=duration_ms, + cost_micros=cost_micros, + progress=progress or None, + ) + session.add(run) + await session.flush() + run_id = str(run.id) + await _maybe_cleanup(session, "runs", RUNS_RETENTION_DAYS) + await session.commit() + return run_id + except Exception: + logger.exception("record_run failed for capability=%s", capability) + try: + await session.rollback() + except Exception: + logger.exception("record_run rollback failed") + return None + + +async def create_pending_run( + session: AsyncSession, + *, + workspace_id: int, + capability: str, + origin: str, + input: dict | None = None, + user_id: Any | None = None, + thread_id: str | None = None, +) -> str | None: + """Insert a ``running`` run row up front and return its id (best-effort). + + The async door needs a durable id before it spawns the background scrape so + the row is visible in history and streamable while it runs; :func:`finalize_run` + later flips it to a terminal status. + """ + try: + run = Run( + workspace_id=workspace_id, + user_id=user_id, + thread_id=thread_id, + capability=capability, + origin=origin, + status="running", + input=input, + ) + session.add(run) + await session.flush() + run_id = str(run.id) + await session.commit() + return run_id + except Exception: + logger.exception("create_pending_run failed for capability=%s", capability) + try: + await session.rollback() + except Exception: + logger.exception("create_pending_run rollback failed") + return None + + +async def finalize_run( + session: AsyncSession, + *, + run_id: str, + status: str, + serialized: SerializedOutput | None = None, + error: str | None = None, + duration_ms: int | None = None, + cost_micros: int | None = None, + progress: list[dict[str, Any]] | None = None, +) -> bool: + """Flip a pending run to a terminal status with its output/metrics. + + Returns ``True`` on success. Best-effort like the other recorders: a failure + here is logged and swallowed rather than crashing the background task. + """ + import uuid as _uuid + + try: + raw = run_id[len("run_") :] if run_id.startswith("run_") else run_id + run = await session.get(Run, _uuid.UUID(raw)) + if run is None: + logger.warning("finalize_run: run %s not found", run_id) + return False + run.status = status + run.error = error + if serialized is not None: + run.output_text = serialized.text + run.item_count = serialized.item_count + run.char_count = serialized.char_count + if duration_ms is not None: + run.duration_ms = duration_ms + if cost_micros is not None: + run.cost_micros = cost_micros + if progress: + run.progress = progress + await _maybe_cleanup(session, "runs", RUNS_RETENTION_DAYS) + await session.commit() + return True + except Exception: + logger.exception("finalize_run failed for run=%s", run_id) + try: + await session.rollback() + except Exception: + logger.exception("finalize_run rollback failed") + return False + + +async def fail_stale_running_runs(session: AsyncSession) -> int: + """Mark every leftover ``running`` run as ``error`` — called once at startup. + + Single process: any row still ``running`` at boot belongs to a scrape that + died with the previous process, so it can never complete. Without this sweep + such rows would stay ``running`` forever. + """ + try: + result = await session.execute( + text( + "UPDATE runs SET status = 'error', " + "error = 'Interrupted by server restart' " + "WHERE status = 'running'" + ) + ) + await session.commit() + return result.rowcount or 0 + except Exception: + logger.exception("fail_stale_running_runs failed") + try: + await session.rollback() + except Exception: + logger.exception("fail_stale_running_runs rollback failed") + return 0 + + +async def record_spill( + session: AsyncSession, + *, + content: str, + spill_id: Any | None = None, + workspace_id: int | None = None, + thread_id: str | None = None, + tool_name: str | None = None, +) -> str | None: + """Persist a context-editing spill row and return its id, or ``None``. + + ``spill_id`` may be supplied so the caller's placeholder can reference the id + before the row is flushed (the context-editing middleware needs this). The + write is idempotent on that id: context edits re-apply on every model call + (they operate on a per-call copy of the messages), so the same spill arrives + repeatedly — an existing row is left as-is and its id returned. + """ + try: + kwargs: dict[str, Any] = {} + if spill_id is not None: + kwargs["id"] = spill_id + existing = await session.get(ToolOutputSpill, spill_id) + if existing is not None: + return str(spill_id) + spill = ToolOutputSpill( + workspace_id=workspace_id, + thread_id=thread_id, + tool_name=tool_name, + content=content, + char_count=len(content), + **kwargs, + ) + session.add(spill) + await session.flush() + spill_id = str(spill.id) + await _maybe_cleanup(session, "tool_output_spills", SPILLS_RETENTION_DAYS) + await session.commit() + return spill_id + except Exception: + logger.exception("record_spill failed") + try: + await session.rollback() + except Exception: + logger.exception("record_spill rollback failed") + return None + + +async def _maybe_cleanup( + session: AsyncSession, table: str, retention_days: int +) -> None: + """Delete a bounded batch of expired rows on ~1% of inserts.""" + if random.random() >= _CLEANUP_SAMPLE_RATE: + return + cutoff = datetime.now(UTC) - timedelta(days=retention_days) + # ponytail: LIMIT-bounded so a long backlog never lands as one giant delete. + # `table` is one of two hardcoded literals below — never user input. + await session.execute( + text( + f"DELETE FROM {table} WHERE id IN " + f"(SELECT id FROM {table} WHERE created_at < :cutoff LIMIT :batch)" + ), + {"cutoff": cutoff, "batch": _CLEANUP_BATCH}, + ) diff --git a/surfsense_backend/app/capabilities/core/store.py b/surfsense_backend/app/capabilities/core/store.py new file mode 100644 index 000000000..aad172c79 --- /dev/null +++ b/surfsense_backend/app/capabilities/core/store.py @@ -0,0 +1,20 @@ +"""In-process capability registry, populated at import by each verb's ``definition.py``.""" + +from __future__ import annotations + +from app.capabilities.core.types import Capability + +_REGISTRY: dict[str, Capability] = {} + + +def register_capability(capability: Capability) -> None: + """Add (or replace) a verb by name.""" + _REGISTRY[capability.name] = capability + + +def get_capability(name: str) -> Capability: + return _REGISTRY[name] + + +def all_capabilities() -> list[Capability]: + return list(_REGISTRY.values()) diff --git a/surfsense_backend/app/capabilities/core/types.py b/surfsense_backend/app/capabilities/core/types.py new file mode 100644 index 000000000..ec44d29aa --- /dev/null +++ b/surfsense_backend/app/capabilities/core/types.py @@ -0,0 +1,64 @@ +"""``Capability`` registry contracts shared by every verb.""" + +from __future__ import annotations + +from collections.abc import Awaitable, Callable +from dataclasses import dataclass +from enum import StrEnum +from typing import TYPE_CHECKING, Any, Protocol + +if TYPE_CHECKING: + from pydantic import BaseModel + from sqlalchemy.ext.asyncio import AsyncSession + + +class BillingUnit(StrEnum): + """The meter a verb charges on (priced by the billing service, 03c). ``None`` = free. + + Each value doubles as the ``TokenUsage.usage_type`` audit string for that meter. + """ + + WEB_CRAWL = "web_crawl" + REDDIT_ITEM = "reddit_item" + GOOGLE_SEARCH_SERP = "google_search_serp" + GOOGLE_MAPS_PLACE = "google_maps_place" + GOOGLE_MAPS_REVIEW = "google_maps_review" + YOUTUBE_VIDEO = "youtube_video" + YOUTUBE_COMMENT = "youtube_comment" + + +class BillableInput(Protocol): + """A billed verb's input that reports its worst-case unit count for pre-flight.""" + + @property + def estimated_units(self) -> int: ... + + +class BillableOutput(Protocol): + """A capability output that reports its own billable count.""" + + @property + def billable_units(self) -> int: ... + + +@dataclass(frozen=True) +class CapabilityContext: + """Request-scoped deps a capability call needs beyond its typed input.""" + + session: AsyncSession + workspace_id: int + + +Executor = Callable[[Any], Awaitable[Any]] + + +@dataclass(frozen=True) +class Capability: + """One typed verb; the source of truth the doors (05) and agent (07) read.""" + + name: str + description: str + input_schema: type[BaseModel] + output_schema: type[BaseModel] + executor: Executor + billing_unit: BillingUnit | None diff --git a/surfsense_backend/app/capabilities/google_maps/__init__.py b/surfsense_backend/app/capabilities/google_maps/__init__.py new file mode 100644 index 000000000..c3e2ef30e --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/__init__.py @@ -0,0 +1,6 @@ +"""``google_maps.*`` namespace: platform-native Google Maps data verbs.""" + +from __future__ import annotations + +from app.capabilities.google_maps.reviews import definition as _reviews # noqa: F401 +from app.capabilities.google_maps.scrape import definition as _scrape # noqa: F401 diff --git a/surfsense_backend/app/capabilities/google_maps/reviews/__init__.py b/surfsense_backend/app/capabilities/google_maps/reviews/__init__.py new file mode 100644 index 000000000..58283f1d7 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/reviews/__init__.py @@ -0,0 +1,3 @@ +"""``google_maps.reviews`` verb: Maps place URLs / place IDs → review items.""" + +from __future__ import annotations diff --git a/surfsense_backend/app/capabilities/google_maps/reviews/definition.py b/surfsense_backend/app/capabilities/google_maps/reviews/definition.py new file mode 100644 index 000000000..e96c6f906 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/reviews/definition.py @@ -0,0 +1,24 @@ +"""``google_maps.reviews`` capability registration (billed per review; see +config ``GOOGLE_MAPS_MICROS_PER_REVIEW``).""" + +from __future__ import annotations + +from app.capabilities.core import BillingUnit, Capability, register_capability +from app.capabilities.google_maps.reviews.executor import build_reviews_executor +from app.capabilities.google_maps.reviews.schemas import ReviewsInput, ReviewsOutput + +GOOGLE_MAPS_REVIEWS = Capability( + name="google_maps.reviews", + description=( + "Fetch public reviews for one or more Google Maps places. Give it place " + "URLs or place IDs; returns structured review items with author, text, " + "star rating, like count, owner response, and timestamps. Use it to " + "gauge sentiment or pull recent feedback on specific places." + ), + input_schema=ReviewsInput, + output_schema=ReviewsOutput, + executor=build_reviews_executor(), + billing_unit=BillingUnit.GOOGLE_MAPS_REVIEW, +) + +register_capability(GOOGLE_MAPS_REVIEWS) diff --git a/surfsense_backend/app/capabilities/google_maps/reviews/executor.py b/surfsense_backend/app/capabilities/google_maps/reviews/executor.py new file mode 100644 index 000000000..c6bec3775 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/reviews/executor.py @@ -0,0 +1,50 @@ +"""``google_maps.reviews`` executor: verb input → scraper → review items.""" + +from __future__ import annotations + +from collections.abc import Awaitable, Callable + +from app.capabilities.core import Executor +from app.capabilities.core.progress import emit_progress +from app.capabilities.google_maps.reviews.schemas import ReviewsInput, ReviewsOutput +from app.exceptions import ForbiddenError +from app.proprietary.platforms.google_maps import ( + GoogleMapsReviewsInput, + scrape_reviews, +) +from app.proprietary.platforms.google_maps.scraper import SignInRequiredError + +ReviewsFn = Callable[[GoogleMapsReviewsInput], Awaitable[list[dict]]] + + +def build_reviews_executor(scrape_fn: ReviewsFn | None = None) -> Executor: + """Bind the executor to a reviews scraper fn (defaults to the proprietary actor).""" + scrape_fn = scrape_fn or scrape_reviews + + async def execute(payload: ReviewsInput) -> ReviewsOutput: + actor_input = GoogleMapsReviewsInput( + startUrls=[{"url": url} for url in payload.urls], + placeIds=payload.place_ids, + maxReviews=payload.max_reviews, + reviewsSort=payload.sort_by, + reviewsStartDate=payload.start_date, + language=payload.language, + ) + emit_progress( + "starting", + "Fetching Google Maps reviews", + total=payload.max_reviews, + unit="review", + ) + try: + items = await scrape_fn(actor_input) + except SignInRequiredError as exc: + raise ForbiddenError( + f"Google sign in required: {exc}", code="GOOGLE_SIGNIN_REQUIRED" + ) from exc + emit_progress( + "done", f"Scraped {len(items)} review(s)", current=len(items), unit="review" + ) + return ReviewsOutput(items=items) + + return execute diff --git a/surfsense_backend/app/capabilities/google_maps/reviews/schemas.py b/surfsense_backend/app/capabilities/google_maps/reviews/schemas.py new file mode 100644 index 000000000..1868765e9 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/reviews/schemas.py @@ -0,0 +1,79 @@ +"""``google_maps.reviews`` I/O contracts. + +A lean surface over ``GoogleMapsReviewsInput``; the scraper's ``ReviewItem`` is +reused verbatim as the output element. +""" + +from __future__ import annotations + +from typing import Literal + +from pydantic import BaseModel, Field, model_validator + +from app.proprietary.platforms.google_maps import ReviewItem + +MAX_MAPS_REVIEW_SOURCES = 20 +"""Per-call cap on urls + place_ids: bounds how many places one request harvests.""" + + +class ReviewsInput(BaseModel): + urls: list[str] = Field( + default_factory=list, + max_length=MAX_MAPS_REVIEW_SOURCES, + description=( + "Google Maps place URLs to fetch reviews for. Provide these OR " + "place_ids (at least one is required)." + ), + ) + place_ids: list[str] = Field( + default_factory=list, + max_length=MAX_MAPS_REVIEW_SOURCES, + description=( + "Known Google place IDs (ChIJ...) to fetch reviews for. Provide " + "these OR urls." + ), + ) + max_reviews: int = Field( + default=20, + ge=1, + le=100_000, + description="Max reviews to return per place.", + ) + sort_by: Literal["newest", "mostRelevant", "highestRanking", "lowestRanking"] = ( + Field( + default="newest", + description="Review ordering.", + ) + ) + language: str = Field( + default="en", + description="Review language code, e.g. 'en', 'fr'.", + ) + start_date: str | None = Field( + default=None, + description="Only reviews on/after this ISO date, e.g. '2024-01-01'.", + ) + + @model_validator(mode="after") + def _require_a_source(self) -> ReviewsInput: + if not (self.urls or self.place_ids): + raise ValueError("Provide at least one of 'urls' or 'place_ids'.") + return self + + @property + def estimated_units(self) -> int: + """Worst-case billable reviews for the pre-flight gate: up to + ``max_reviews`` per source place.""" + return (len(self.urls) + len(self.place_ids)) * self.max_reviews + + +class ReviewsOutput(BaseModel): + items: list[ReviewItem] = Field( + default_factory=list, + description="One item per review, in the scraper's emission order.", + ) + + @property + def billable_units(self) -> int: + """One returned review = one billable unit.""" + return len(self.items) diff --git a/surfsense_backend/app/capabilities/google_maps/scrape/__init__.py b/surfsense_backend/app/capabilities/google_maps/scrape/__init__.py new file mode 100644 index 000000000..495d39760 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/scrape/__init__.py @@ -0,0 +1,3 @@ +"""``google_maps.scrape`` verb: search queries / Maps URLs / place IDs → place items.""" + +from __future__ import annotations diff --git a/surfsense_backend/app/capabilities/google_maps/scrape/definition.py b/surfsense_backend/app/capabilities/google_maps/scrape/definition.py new file mode 100644 index 000000000..035b7e00d --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/scrape/definition.py @@ -0,0 +1,27 @@ +"""``google_maps.scrape`` capability registration (dual-metered: billed per +place via ``GOOGLE_MAPS_MICROS_PER_PLACE`` plus per attached review via +``GOOGLE_MAPS_MICROS_PER_REVIEW``).""" + +from __future__ import annotations + +from app.capabilities.core import BillingUnit, Capability, register_capability +from app.capabilities.google_maps.scrape.executor import build_scrape_executor +from app.capabilities.google_maps.scrape.schemas import ScrapeInput, ScrapeOutput + +GOOGLE_MAPS_SCRAPE = Capability( + name="google_maps.scrape", + description=( + "Scrape public Google Maps places. Give it search queries (optionally " + "scoped by location), Google Maps URLs, or place IDs, and it returns " + "structured place items — name, address, category, phone, website, " + "rating, review count, coordinates, and opening hours. Set " + "include_details for richer detail-page fields, or max_reviews/" + "max_images to attach reviews and photos per place." + ), + input_schema=ScrapeInput, + output_schema=ScrapeOutput, + executor=build_scrape_executor(), + billing_unit=BillingUnit.GOOGLE_MAPS_PLACE, +) + +register_capability(GOOGLE_MAPS_SCRAPE) diff --git a/surfsense_backend/app/capabilities/google_maps/scrape/executor.py b/surfsense_backend/app/capabilities/google_maps/scrape/executor.py new file mode 100644 index 000000000..12b5c25bf --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/scrape/executor.py @@ -0,0 +1,50 @@ +"""``google_maps.scrape`` executor: verb input → scraper → place items.""" + +from __future__ import annotations + +from collections.abc import Awaitable, Callable + +from app.capabilities.core import Executor +from app.capabilities.core.progress import emit_progress +from app.capabilities.google_maps.scrape.schemas import ScrapeInput, ScrapeOutput +from app.exceptions import ForbiddenError +from app.proprietary.platforms.google_maps import ( + GoogleMapsScrapeInput, + scrape_places, +) +from app.proprietary.platforms.google_maps.scraper import SignInRequiredError + +ScrapeFn = Callable[[GoogleMapsScrapeInput], Awaitable[list[dict]]] + + +def build_scrape_executor(scrape_fn: ScrapeFn | None = None) -> Executor: + """Bind the executor to a scraper fn (defaults to the proprietary actor).""" + scrape_fn = scrape_fn or scrape_places + + async def execute(payload: ScrapeInput) -> ScrapeOutput: + actor_input = GoogleMapsScrapeInput( + searchStringsArray=payload.search_queries, + startUrls=[{"url": url} for url in payload.urls], + placeIds=payload.place_ids, + locationQuery=payload.location, + maxCrawledPlacesPerSearch=payload.max_places, + language=payload.language, + scrapePlaceDetailPage=payload.include_details, + maxReviews=payload.max_reviews, + maxImages=payload.max_images, + ) + emit_progress( + "starting", "Searching Google Maps", total=payload.max_places, unit="place" + ) + try: + items = await scrape_fn(actor_input) + except SignInRequiredError as exc: + raise ForbiddenError( + f"Google sign in required: {exc}", code="GOOGLE_SIGNIN_REQUIRED" + ) from exc + emit_progress( + "done", f"Scraped {len(items)} place(s)", current=len(items), unit="place" + ) + return ScrapeOutput(items=items) + + return execute diff --git a/surfsense_backend/app/capabilities/google_maps/scrape/schemas.py b/surfsense_backend/app/capabilities/google_maps/scrape/schemas.py new file mode 100644 index 000000000..95833c8f7 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_maps/scrape/schemas.py @@ -0,0 +1,118 @@ +"""``google_maps.scrape`` I/O contracts. + +A lean, agent-friendly surface over ``GoogleMapsScrapeInput`` +(``app/proprietary/platforms/google_maps``). The executor maps this to the full +scraper input; the scraper's ``PlaceItem`` is reused verbatim as the output +element. +""" + +from __future__ import annotations + +from pydantic import BaseModel, Field, model_validator + +from app.proprietary.platforms.google_maps import PlaceItem + +MAX_MAPS_SOURCES = 20 +"""Per-call cap on queries + urls + place_ids: bounds a sync request's fan-out.""" + + +class ScrapeInput(BaseModel): + search_queries: list[str] = Field( + default_factory=list, + max_length=MAX_MAPS_SOURCES, + description=( + "Google Maps search terms (e.g. 'coffee shops', 'dentist'); each " + "returns up to max_places. Provide these OR urls OR place_ids " + "(at least one is required). Pair with location to scope a search." + ), + ) + urls: list[str] = Field( + default_factory=list, + max_length=MAX_MAPS_SOURCES, + description=( + "Google Maps URLs — a place page (/maps/place/...) or a search " + "results URL. Provide these OR search_queries OR place_ids." + ), + ) + place_ids: list[str] = Field( + default_factory=list, + max_length=MAX_MAPS_SOURCES, + description=( + "Known Google place IDs (ChIJ...) to fetch directly. Provide these " + "OR search_queries OR urls." + ), + ) + location: str | None = Field( + default=None, + description="Location to scope search_queries to, e.g. 'New York, USA'.", + ) + max_places: int = Field( + default=10, + ge=1, + le=1000, + description="Max places to return per search query.", + ) + language: str = Field( + default="en", + description="Result language code, e.g. 'en', 'fr'.", + ) + include_details: bool = Field( + default=False, + description=( + "Also fetch each place's detail page — opening hours, popular " + "times, extra contact info (slower; more requests)." + ), + ) + max_reviews: int = Field( + default=0, + ge=0, + le=100_000, + description="Reviews to attach per place (0 = none).", + ) + max_images: int = Field( + default=0, + ge=0, + description="Images to attach per place (0 = none).", + ) + + @model_validator(mode="after") + def _require_a_source(self) -> ScrapeInput: + if not (self.search_queries or self.urls or self.place_ids): + raise ValueError( + "Provide at least one of 'search_queries', 'urls', or 'place_ids'." + ) + return self + + @property + def estimated_units(self) -> int: + """Worst-case billable places: each search query yields up to + ``max_places``; direct URLs and place_ids yield one each.""" + return ( + len(self.search_queries) * self.max_places + + len(self.urls) + + len(self.place_ids) + ) + + @property + def estimated_review_units(self) -> int: + """Worst-case attached reviews for the dual-meter gate: up to + ``max_reviews`` per place across the worst-case place fan-out.""" + return self.estimated_units * self.max_reviews + + +class ScrapeOutput(BaseModel): + items: list[PlaceItem] = Field( + default_factory=list, + description="One place item per result, in the scraper's emission order.", + ) + + @property + def billable_units(self) -> int: + """One returned place = one billable place unit.""" + return len(self.items) + + @property + def attached_review_count(self) -> int: + """Reviews attached inline across all places — the second (review) + meter for this dual-metered verb (populated only when max_reviews > 0).""" + return sum(len(item.reviews) for item in self.items) diff --git a/surfsense_backend/app/capabilities/google_search/__init__.py b/surfsense_backend/app/capabilities/google_search/__init__.py new file mode 100644 index 000000000..7d34b6b3b --- /dev/null +++ b/surfsense_backend/app/capabilities/google_search/__init__.py @@ -0,0 +1,5 @@ +"""``google_search.*`` namespace: platform-native Google Search data verbs.""" + +from __future__ import annotations + +from app.capabilities.google_search.scrape import definition as _scrape # noqa: F401 diff --git a/surfsense_backend/app/capabilities/google_search/scrape/__init__.py b/surfsense_backend/app/capabilities/google_search/scrape/__init__.py new file mode 100644 index 000000000..c4b1ba5d1 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_search/scrape/__init__.py @@ -0,0 +1,3 @@ +"""``google_search.scrape`` verb: search terms / Google Search URLs → SERP items.""" + +from __future__ import annotations diff --git a/surfsense_backend/app/capabilities/google_search/scrape/definition.py b/surfsense_backend/app/capabilities/google_search/scrape/definition.py new file mode 100644 index 000000000..2f2c9de03 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_search/scrape/definition.py @@ -0,0 +1,25 @@ +"""``google_search.scrape`` capability registration (billed per SERP page; see +config ``GOOGLE_SEARCH_MICROS_PER_SERP``).""" + +from __future__ import annotations + +from app.capabilities.core import BillingUnit, Capability, register_capability +from app.capabilities.google_search.scrape.executor import build_scrape_executor +from app.capabilities.google_search.scrape.schemas import ScrapeInput, ScrapeOutput + +GOOGLE_SEARCH_SCRAPE = Capability( + name="google_search.scrape", + description=( + "Search Google and return structured results. Give it search terms " + "(optionally scoped by country/language or to a single site) or full " + "Google Search URLs, and it returns SERP items — organic results " + "(title, url, description), related queries, people-also-ask, and any " + "AI overview. Use max_pages_per_query to page deeper." + ), + input_schema=ScrapeInput, + output_schema=ScrapeOutput, + executor=build_scrape_executor(), + billing_unit=BillingUnit.GOOGLE_SEARCH_SERP, +) + +register_capability(GOOGLE_SEARCH_SCRAPE) diff --git a/surfsense_backend/app/capabilities/google_search/scrape/executor.py b/surfsense_backend/app/capabilities/google_search/scrape/executor.py new file mode 100644 index 000000000..022f1eac6 --- /dev/null +++ b/surfsense_backend/app/capabilities/google_search/scrape/executor.py @@ -0,0 +1,54 @@ +"""``google_search.scrape`` executor: verb input → scraper → SERP items.""" + +from __future__ import annotations + +from collections.abc import Awaitable, Callable + +from app.capabilities.core import Executor +from app.capabilities.core.progress import emit_progress +from app.capabilities.google_search.scrape.schemas import ( + MAX_PAGES_PER_QUERY, + MAX_SEARCH_QUERIES, + ScrapeInput, + ScrapeOutput, +) +from app.proprietary.platforms.google_search import ( + GoogleSearchScrapeInput, + scrape_serps, +) + +ScrapeFn = Callable[..., Awaitable[list[dict]]] + +# Hard ceiling on SERP pages returned per call (protects the run regardless of +# how queries * max_pages_per_query multiply out). +_MAX_SERP_ITEMS = MAX_SEARCH_QUERIES * MAX_PAGES_PER_QUERY + + +def build_scrape_executor(scrape_fn: ScrapeFn | None = None) -> Executor: + """Bind the executor to a scraper fn (defaults to the proprietary actor).""" + scrape_fn = scrape_fn or scrape_serps + + async def execute(payload: ScrapeInput) -> ScrapeOutput: + actor_input = GoogleSearchScrapeInput( + queries="\n".join(payload.queries), + maxPagesPerQuery=payload.max_pages_per_query, + countryCode=payload.country_code, + languageCode=payload.language_code, + site=payload.site, + ) + emit_progress( + "starting", + f"Searching {len(payload.queries)} query(ies)", + total=_MAX_SERP_ITEMS, + unit="page", + ) + items = await scrape_fn(actor_input, limit=_MAX_SERP_ITEMS) + emit_progress( + "done", + f"Scraped {len(items)} SERP page(s)", + current=len(items), + unit="page", + ) + return ScrapeOutput(items=items) + + return execute diff --git a/surfsense_backend/app/capabilities/google_search/scrape/schemas.py b/surfsense_backend/app/capabilities/google_search/scrape/schemas.py new file mode 100644 index 000000000..f7224be9c --- /dev/null +++ b/surfsense_backend/app/capabilities/google_search/scrape/schemas.py @@ -0,0 +1,66 @@ +"""``google_search.scrape`` I/O contracts. + +A lean, agent-friendly surface over ``GoogleSearchScrapeInput`` +(``app/proprietary/platforms/google_search``). The executor maps this to the +full scraper input; the scraper's ``SerpItem`` is reused verbatim as the output +element. +""" + +from __future__ import annotations + +from pydantic import BaseModel, Field + +from app.proprietary.platforms.google_search import SerpItem + +MAX_SEARCH_QUERIES = 20 +"""Per-call cap on queries: bounds a synchronous request's fan-out.""" + +MAX_PAGES_PER_QUERY = 10 +"""Deepest result-page pagination a single query will follow.""" + + +class ScrapeInput(BaseModel): + queries: list[str] = Field( + min_length=1, + max_length=MAX_SEARCH_QUERIES, + description=( + "Search terms (e.g. 'wedding photographers denver') or full Google " + "Search URLs. Each term is searched; each URL is scraped as-is." + ), + ) + max_pages_per_query: int = Field( + default=1, + ge=1, + le=MAX_PAGES_PER_QUERY, + description="Result pages to fetch per query (1 = first page only).", + ) + country_code: str | None = Field( + default=None, + description="Two-letter country to search from, e.g. 'us', 'fr'.", + ) + language_code: str = Field( + default="", + description="Result language code, e.g. 'en', 'fr' (blank = Google default).", + ) + site: str | None = Field( + default=None, + description="Restrict results to a single domain, e.g. 'example.com'.", + ) + + @property + def estimated_units(self) -> int: + """Worst-case billable SERP pages for the pre-flight gate: one page per + query per requested result page.""" + return len(self.queries) * self.max_pages_per_query + + +class ScrapeOutput(BaseModel): + items: list[SerpItem] = Field( + default_factory=list, + description="One item per fetched SERP page, in the scraper's emission order.", + ) + + @property + def billable_units(self) -> int: + """One fetched SERP page = one billable unit.""" + return len(self.items) diff --git a/surfsense_backend/app/capabilities/reddit/__init__.py b/surfsense_backend/app/capabilities/reddit/__init__.py new file mode 100644 index 000000000..dfbc39d1d --- /dev/null +++ b/surfsense_backend/app/capabilities/reddit/__init__.py @@ -0,0 +1,5 @@ +"""``reddit.*`` namespace: platform-native Reddit data verbs.""" + +from __future__ import annotations + +from app.capabilities.reddit.scrape import definition as _scrape # noqa: F401 diff --git a/surfsense_backend/app/capabilities/reddit/scrape/__init__.py b/surfsense_backend/app/capabilities/reddit/scrape/__init__.py new file mode 100644 index 000000000..d4443d815 --- /dev/null +++ b/surfsense_backend/app/capabilities/reddit/scrape/__init__.py @@ -0,0 +1,3 @@ +"""``reddit.scrape`` verb: Reddit URLs / search terms → posts, comments, users.""" + +from __future__ import annotations diff --git a/surfsense_backend/app/capabilities/reddit/scrape/definition.py b/surfsense_backend/app/capabilities/reddit/scrape/definition.py new file mode 100644 index 000000000..01fb6db5f --- /dev/null +++ b/surfsense_backend/app/capabilities/reddit/scrape/definition.py @@ -0,0 +1,25 @@ +"""``reddit.scrape`` capability registration (billed per item; see config +``REDDIT_SCRAPE_MICROS_PER_ITEM``).""" + +from __future__ import annotations + +from app.capabilities.core import BillingUnit, Capability, register_capability +from app.capabilities.reddit.scrape.executor import build_scrape_executor +from app.capabilities.reddit.scrape.schemas import ScrapeInput, ScrapeOutput + +REDDIT_SCRAPE = Capability( + name="reddit.scrape", + description=( + "Scrape public Reddit data. Give it Reddit URLs (post, subreddit, or " + "user) and/or search terms, and it returns structured items — posts " + "(title, body, score, comment count, subreddit, author), their comments, " + "and community/user metadata. Use search_queries (optionally scoped to a " + "community) to discover posts, or urls to pull a known post/subreddit/user." + ), + input_schema=ScrapeInput, + output_schema=ScrapeOutput, + executor=build_scrape_executor(), + billing_unit=BillingUnit.REDDIT_ITEM, +) + +register_capability(REDDIT_SCRAPE) diff --git a/surfsense_backend/app/capabilities/reddit/scrape/executor.py b/surfsense_backend/app/capabilities/reddit/scrape/executor.py new file mode 100644 index 000000000..da72c8bcf --- /dev/null +++ b/surfsense_backend/app/capabilities/reddit/scrape/executor.py @@ -0,0 +1,56 @@ +"""``reddit.scrape`` executor: verb input → scraper → Reddit items.""" + +from __future__ import annotations + +from collections.abc import Awaitable, Callable + +from app.capabilities.core import Executor +from app.capabilities.core.progress import emit_progress +from app.capabilities.reddit.scrape.schemas import ScrapeInput, ScrapeOutput +from app.exceptions import ForbiddenError +from app.proprietary.platforms.reddit import ( + RedditAccessBlockedError, + RedditScrapeInput, + scrape_reddit, +) + +ScrapeFn = Callable[..., Awaitable[list[dict]]] + + +def build_scrape_executor(scrape_fn: ScrapeFn | None = None) -> Executor: + """Bind the executor to a scraper fn (defaults to the proprietary actor).""" + scrape_fn = scrape_fn or scrape_reddit + + async def execute(payload: ScrapeInput) -> ScrapeOutput: + actor_input = RedditScrapeInput( + startUrls=[{"url": url} for url in payload.urls], + searches=payload.search_queries, + searchCommunityName=payload.community, + sort=payload.sort, + time=payload.time_filter, + includeNSFW=payload.include_nsfw, + skipComments=payload.skip_comments, + maxItems=payload.max_items, + maxPostCount=payload.max_posts, + maxComments=payload.max_comments, + postDateLimit=payload.post_date_limit, + commentDateLimit=payload.comment_date_limit, + ) + emit_progress( + "starting", "Resolving Reddit targets", total=payload.max_items, unit="item" + ) + try: + items = await scrape_fn(actor_input, limit=payload.max_items) + except RedditAccessBlockedError as exc: + # Anonymous-only scraper; a hard block can't be retried with creds. + # Mirror google_maps' SignInRequiredError -> ForbiddenError mapping. + raise ForbiddenError( + f"Reddit refused anonymous access: {exc}", + code="REDDIT_ACCESS_BLOCKED", + ) from exc + emit_progress( + "done", f"Scraped {len(items)} item(s)", current=len(items), unit="item" + ) + return ScrapeOutput(items=items) + + return execute diff --git a/surfsense_backend/app/capabilities/reddit/scrape/schemas.py b/surfsense_backend/app/capabilities/reddit/scrape/schemas.py new file mode 100644 index 000000000..0c2da536e --- /dev/null +++ b/surfsense_backend/app/capabilities/reddit/scrape/schemas.py @@ -0,0 +1,113 @@ +"""``reddit.scrape`` I/O contracts. + +A lean, agent-friendly surface over ``RedditScrapeInput`` +(``app/proprietary/platforms/reddit``). The executor maps this to the full +scraper input; the scraper's ``RedditItem`` is reused verbatim as the output +element. +""" + +from __future__ import annotations + +from pydantic import BaseModel, Field, model_validator + +from app.proprietary.platforms.reddit import RedditItem +from app.proprietary.platforms.reddit.schemas import RedditSort, RedditTime + +MAX_REDDIT_SOURCES = 20 +"""Per-call cap on urls + search_queries: bounds a synchronous request's fan-out.""" + +MAX_REDDIT_ITEMS = 100 +"""Hard ceiling on items returned per call, regardless of the per-target caps.""" + + +class ScrapeInput(BaseModel): + urls: list[str] = Field( + default_factory=list, + max_length=MAX_REDDIT_SOURCES, + description=( + "Reddit URLs to scrape: a post, a subreddit (/r/<name>), a user " + "(/user/<name>), or a search URL. Provide these OR search_queries/" + "community (at least one source is required)." + ), + ) + search_queries: list[str] = Field( + default_factory=list, + max_length=MAX_REDDIT_SOURCES, + description=( + "Search terms to run on Reddit; each returns up to max_items results. " + "Scope to one subreddit with community." + ), + ) + community: str | None = Field( + default=None, + description=( + "Subreddit name (without 'r/') to scope search_queries to, e.g. " + "'python'. With no search_queries, its listing is scraped." + ), + ) + sort: RedditSort = Field( + default="new", + description="Result ordering: relevance, hot, top, new, rising, or comments.", + ) + time_filter: RedditTime | None = Field( + default=None, + description="Time window for 'top'/'controversial' sorts: hour, day, week, month, year, all.", + ) + include_nsfw: bool = Field( + default=True, + description="Include posts flagged over-18 (NSFW) in the results.", + ) + skip_comments: bool = Field( + default=False, + description="Skip fetching comment trees (faster; posts/listings only).", + ) + max_items: int = Field( + default=10, + ge=1, + le=MAX_REDDIT_ITEMS, + description="Max total items to return across all sources.", + ) + max_posts: int = Field( + default=10, + ge=0, + description="Max posts to pull per subreddit/user/search target.", + ) + max_comments: int = Field( + default=10, + ge=0, + description="Max comments to pull per post (0 = none).", + ) + post_date_limit: str | None = Field( + default=None, + description="ISO date; only return posts newer than this (incremental scrape).", + ) + comment_date_limit: str | None = Field( + default=None, + description="ISO date; only return comments newer than this (incremental scrape).", + ) + + @model_validator(mode="after") + def _require_a_source(self) -> ScrapeInput: + if not self.urls and not self.search_queries and not self.community: + raise ValueError( + "Provide at least one of 'urls', 'search_queries', or 'community'." + ) + return self + + @property + def estimated_units(self) -> int: + """Worst-case billable items for the pre-flight gate: ``max_items`` is a + hard cross-source ceiling (le=100), so no call can exceed it.""" + return self.max_items + + +class ScrapeOutput(BaseModel): + items: list[RedditItem] = Field( + default_factory=list, + description="One item per result (post/comment/community/user), in emission order.", + ) + + @property + def billable_units(self) -> int: + """One returned item = one billable unit.""" + return len(self.items) diff --git a/surfsense_backend/app/capabilities/web/__init__.py b/surfsense_backend/app/capabilities/web/__init__.py new file mode 100644 index 000000000..c0c4bef17 --- /dev/null +++ b/surfsense_backend/app/capabilities/web/__init__.py @@ -0,0 +1,5 @@ +"""``web.*`` namespace: the unified web content crawler verb.""" + +from __future__ import annotations + +from app.capabilities.web.crawl import definition as _crawl # noqa: F401 diff --git a/surfsense_backend/app/capabilities/web/crawl/__init__.py b/surfsense_backend/app/capabilities/web/crawl/__init__.py new file mode 100644 index 000000000..8a13f0bee --- /dev/null +++ b/surfsense_backend/app/capabilities/web/crawl/__init__.py @@ -0,0 +1,3 @@ +"""``web.crawl`` verb: single-URL scrape or same-site spider → one row per page.""" + +from __future__ import annotations diff --git a/surfsense_backend/app/capabilities/web/crawl/definition.py b/surfsense_backend/app/capabilities/web/crawl/definition.py new file mode 100644 index 000000000..cd3db2306 --- /dev/null +++ b/surfsense_backend/app/capabilities/web/crawl/definition.py @@ -0,0 +1,37 @@ +"""``web.crawl`` capability registration.""" + +from __future__ import annotations + +from app.capabilities.core import BillingUnit, Capability, register_capability +from app.capabilities.web.crawl.executor import build_crawl_executor +from app.capabilities.web.crawl.schemas import CrawlInput, CrawlOutput + +WEB_CRAWL = Capability( + name="web.crawl", + description=( + "Scrape a single web page or crawl a whole website. Give it one or more " + "startUrls. Set maxCrawlDepth=0 to fetch just those URLs, or higher to " + "also follow the links on each page (depth 1 = the start pages plus the " + "pages they link to, and so on) — staying on the same site and stopping " + "at maxCrawlPages. On a deeper crawl, narrow which links are followed with " + "includeUrlPatterns / excludeUrlPatterns (regexes). Returns one item per " + "fetched page with clean markdown content, metadata (title, description), " + "crawl provenance, every link with its anchor text and kind " + "(internal/external/social/email/tel — use the text/context to tie a " + "profile URL to a person or company), and contact signals (emails, phone " + "numbers, social profiles). The site-wide contacts summary deduplicates " + "them with provenance: siteWide=true marks footer/header values (the " + "company's own contacts) vs page-local finds (e.g. team members' " + "profiles). Useful for lead generation and competitive intelligence; " + "contact details often live on about/contact/privacy pages, so crawl " + "with maxCrawlDepth >= 1 to surface them. JS-rendered pages are loaded " + "in a real browser and auto-scrolled, so lazy-loaded listings " + "(directories, infinite-scroll feeds) are captured too." + ), + input_schema=CrawlInput, + output_schema=CrawlOutput, + executor=build_crawl_executor(), + billing_unit=BillingUnit.WEB_CRAWL, +) + +register_capability(WEB_CRAWL) diff --git a/surfsense_backend/app/capabilities/web/crawl/executor.py b/surfsense_backend/app/capabilities/web/crawl/executor.py new file mode 100644 index 000000000..75d2f9c48 --- /dev/null +++ b/surfsense_backend/app/capabilities/web/crawl/executor.py @@ -0,0 +1,136 @@ +"""``web.crawl`` executor: seeds → site spider → one cleaned item per fetched page. + +Boundary owned elsewhere: the crawl frontier/fetch live in the proprietary engine +(``app.proprietary.web_crawler``). This executor only maps the engine's +``CrawlPage`` list onto the typed ``CrawlOutput`` (status labels, truncation, and +the captcha telemetry the billing seam reads). +""" + +from __future__ import annotations + +from app.capabilities.core import Executor +from app.capabilities.core.progress import emit_progress +from app.capabilities.web.crawl.schemas import ( + ContactRef, + Contacts, + CrawlInput, + CrawlItem, + CrawlMeta, + CrawlOutput, + Link, + SiteContacts, +) +from app.proprietary.web_crawler import ( + CrawlOutcomeStatus, + CrawlPage, + WebCrawlerConnector, + crawl_site, +) + +_STATUS_LABEL: dict[CrawlOutcomeStatus, str] = { + CrawlOutcomeStatus.SUCCESS: "success", + CrawlOutcomeStatus.EMPTY: "empty", + CrawlOutcomeStatus.FAILED: "failed", +} + + +def build_crawl_executor(engine: WebCrawlerConnector | None = None) -> Executor: + """Build the ``web.crawl`` executor, optionally over an injected engine (tests).""" + crawler = engine or WebCrawlerConnector() + + async def execute(payload: CrawlInput) -> CrawlOutput: + emit_progress( + "starting", + f"Crawling {len(payload.startUrls)} seed URL(s)", + total=payload.maxCrawlPages, + unit="page", + ) + pages = await crawl_site( + crawler, + payload.startUrls, + max_crawl_depth=payload.maxCrawlDepth, + max_crawl_pages=payload.maxCrawlPages, + include_patterns=payload.includeUrlPatterns, + exclude_patterns=payload.excludeUrlPatterns, + ) + emit_progress( + "processing", + f"Processing {len(pages)} crawled page(s)", + current=len(pages), + unit="page", + ) + items = [_to_item(page, payload.maxLength) for page in pages] + emit_progress( + "done", f"Crawled {len(items)} page(s)", current=len(items), unit="page" + ) + return CrawlOutput( + items=items, + contacts=_aggregate_contacts(items), + captcha_attempts=sum(page.captcha_attempts for page in pages), + captcha_solved=sum(1 for page in pages if page.captcha_solved), + ) + + return execute + + +def _to_item(page: CrawlPage, max_length: int) -> CrawlItem: + content = page.content[:max_length] if page.content is not None else None + contacts = Contacts(**page.contacts) if page.contacts else None + return CrawlItem( + url=page.url, + status=_STATUS_LABEL[page.status], + crawl=CrawlMeta( + loadedUrl=page.loaded_url or page.url, + depth=page.depth, + referrerUrl=page.referrer, + ), + markdown=content, + metadata=page.metadata, + contacts=contacts, + links=[Link(**record) for record in page.links or []], + error=page.error, + ) + + +# Pages listed per contact value; the full list lives in the per-page items. +_MAX_REF_PAGES = 5 + + +def _aggregate_contacts(items: list[CrawlItem]) -> SiteContacts: + """Union each page's contacts with provenance (which pages, site-wide or not). + + ``siteWide`` marks values found on the majority of successfully parsed + pages: on a multi-page crawl that's header/footer boilerplate — the + company's own contacts — as opposed to page-local finds like one person's + LinkedIn on the team page. ponytail: a single-page crawl can't tell the + two apart, so everything is siteWide there; only page structure (footer + detection) could do better. + """ + pages_with_contacts = sum(1 for item in items if item.contacts is not None) + threshold = max(2, pages_with_contacts / 2) + + def refs(values_by_page: dict[str, list[str]]) -> list[ContactRef]: + return [ + ContactRef( + value=value, + pages=pages[:_MAX_REF_PAGES], + pageCount=len(pages), + siteWide=pages_with_contacts == 1 or len(pages) >= threshold, + ) + for value, pages in values_by_page.items() + ] + + emails: dict[str, list[str]] = {} + phones: dict[str, list[str]] = {} + socials: dict[str, list[str]] = {} + for item in items: + if item.contacts is None: + continue + for bucket, values in ( + (emails, item.contacts.emails), + (phones, item.contacts.phones), + (socials, item.contacts.socials), + ): + for value in values: + bucket.setdefault(value, []).append(item.url) + return SiteContacts(emails=refs(emails), phones=refs(phones), socials=refs(socials)) diff --git a/surfsense_backend/app/capabilities/web/crawl/schemas.py b/surfsense_backend/app/capabilities/web/crawl/schemas.py new file mode 100644 index 000000000..d6c9c38a3 --- /dev/null +++ b/surfsense_backend/app/capabilities/web/crawl/schemas.py @@ -0,0 +1,215 @@ +# ruff: noqa: N815 - public field names intentionally use camelCase +"""``web.crawl`` I/O contracts. + +A Website Content Crawler-style surface: one verb that either scrapes the given +URLs (``maxCrawlDepth == 0``) or spiders their site (``maxCrawlDepth > 0``), +bounded by ``maxCrawlPages`` and kept on the seed's site. + +Fields are trimmed to what the proprietary engine honors today. Knobs the engine +handles automatically (crawler type, proxy, dynamic-render waits) are +intentionally omitted, as are features we haven't built (output formats, click +actions, PII handling). Link following can be narrowed with include/exclude URL +regex patterns. +""" + +from __future__ import annotations + +from typing import Literal + +from pydantic import BaseModel, Field + +MAX_START_URLS = 20 +"""Per-call cap on seed URLs: bounds a synchronous request's fan-out (05).""" + +MAX_CRAWL_DEPTH = 5 +"""Deepest link distance a spider will follow from a start URL.""" + +MAX_CRAWL_PAGES = 200 +"""Hard ceiling on pages fetched per call (protects the wallet and the run).""" + + +class CrawlInput(BaseModel): + startUrls: list[str] = Field( + min_length=1, + max_length=MAX_START_URLS, + description=( + "Seed URLs to crawl. With maxCrawlDepth=0 only these are fetched; " + "with a higher depth they are also the entry points for the spider." + ), + ) + maxCrawlDepth: int = Field( + default=0, + ge=0, + le=MAX_CRAWL_DEPTH, + description=( + "How many link-hops to follow from each start URL. 0 = scrape only " + "the start URLs (no spidering); 1 = also their linked pages; etc. " + "The spider stays on the start URL's site." + ), + ) + maxCrawlPages: int = Field( + default=10, + ge=1, + le=MAX_CRAWL_PAGES, + description=( + "Maximum number of pages to fetch in total (start URLs included). " + "The crawl stops once this many pages have been fetched." + ), + ) + maxLength: int = Field( + default=50_000, + ge=1, + description="Maximum characters of cleaned markdown kept per page (truncates beyond).", + ) + includeUrlPatterns: list[str] = Field( + default_factory=list, + max_length=25, + description=( + "Regex patterns a discovered link must match to be followed " + "(when maxCrawlDepth > 0). Empty = follow every same-site link. " + "Ignored for the start URLs, which are always fetched." + ), + ) + excludeUrlPatterns: list[str] = Field( + default_factory=list, + max_length=25, + description=( + "Regex patterns that exclude a discovered link from being followed. " + "Takes precedence over includeUrlPatterns." + ), + ) + + @property + def estimated_units(self) -> int: + """Worst-case billable pages for the pre-flight gate (03c).""" + if self.maxCrawlDepth == 0: + return len(self.startUrls) + return self.maxCrawlPages + + +class CrawlMeta(BaseModel): + loadedUrl: str = Field(description="The URL actually fetched for this page.") + depth: int = Field( + description="Link distance from a start URL (0 for a start URL itself)." + ) + referrerUrl: str | None = Field( + default=None, + description="The page this URL was discovered on (null for start URLs).", + ) + + +class Link(BaseModel): + url: str = Field(description="Absolute link target (or address for email/tel).") + text: str = Field( + default="", + description="Anchor text — the label the page gives this link (e.g. a person's name on a LinkedIn link).", + ) + context: str = Field( + default="", + description=( + "For unlabeled social/email/tel links: surrounding text (e.g. the " + "person card an icon link sits in). Empty when text says it all." + ), + ) + rel: str = Field(default="", description="The anchor's rel attribute, if any.") + kind: Literal["internal", "external", "social", "email", "tel"] = Field( + description=( + "internal = same site; external = other site; social = known " + "profile host (LinkedIn, X, GitHub, ...); email/tel = mailto:/tel: targets." + ), + ) + + +class Contacts(BaseModel): + emails: list[str] = Field( + default_factory=list, description="Email addresses found on the page." + ) + phones: list[str] = Field( + default_factory=list, description="Phone numbers (from tel: links)." + ) + socials: list[str] = Field( + default_factory=list, + description="Social/profile URLs (LinkedIn, X, GitHub, Instagram, etc.).", + ) + + +class ContactRef(BaseModel): + """One site-wide contact value plus where it was found.""" + + value: str = Field(description="The email address, phone number, or profile URL.") + pages: list[str] = Field( + description="First few page URLs this value was found on (crawl order)." + ) + pageCount: int = Field(description="Total number of pages it appeared on.") + siteWide: bool = Field( + description=( + "True when found on most fetched pages — i.e. header/footer " + "boilerplate, so it belongs to the site itself (the company). " + "False = page-local, e.g. one person's profile on a team page." + ), + ) + + +class SiteContacts(BaseModel): + emails: list[ContactRef] = Field(default_factory=list) + phones: list[ContactRef] = Field(default_factory=list) + socials: list[ContactRef] = Field(default_factory=list) + + +class CrawlItem(BaseModel): + url: str = Field(description="The requested URL for this page.") + status: Literal["success", "empty", "failed"] = Field( + description="success = content returned; empty = fetched but no content; failed = could not fetch." + ) + crawl: CrawlMeta | None = Field( + default=None, description="Crawl provenance (loaded URL, depth, referrer)." + ) + markdown: str | None = Field( + default=None, + description="Cleaned page content as markdown (null unless success).", + ) + metadata: dict[str, str] | None = Field( + default=None, description="Page metadata such as title and description." + ) + contacts: Contacts | None = Field( + default=None, + description=( + "Contact/social signals harvested from the page's raw HTML " + "(footer/legal boilerplate that the markdown omits)." + ), + ) + links: list[Link] = Field( + default_factory=list, + description=( + "Every link on the page with its anchor text and kind. The anchor " + "text ties targets to entities (e.g. which person a LinkedIn URL " + "belongs to) — use it instead of guessing from the URL." + ), + ) + error: str | None = Field( + default=None, description="Failure reason when status is not success." + ) + + +class CrawlOutput(BaseModel): + items: list[CrawlItem] = Field( + default_factory=list, + description="One item per fetched page, in crawl (BFS) order.", + ) + contacts: SiteContacts = Field( + default_factory=SiteContacts, + description=( + "Deduplicated union of every page's contact signals with provenance: " + "each value lists the pages it was found on, and siteWide separates " + "footer/header boilerplate (the company's own contacts) from " + "page-local finds (e.g. individual people on a team page)." + ), + ) + # Billing-only telemetry; excluded from the wire shape (mirrors web.scrape). + captcha_attempts: int = Field(default=0, exclude=True) + captcha_solved: int = Field(default=0, exclude=True) + + @property + def billable_units(self) -> int: + """Successful pages are the metered unit (03c).""" + return sum(1 for item in self.items if item.status == "success") diff --git a/surfsense_backend/app/capabilities/youtube/__init__.py b/surfsense_backend/app/capabilities/youtube/__init__.py new file mode 100644 index 000000000..c8cda1bff --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/__init__.py @@ -0,0 +1,6 @@ +"""``youtube.*`` namespace: platform-native YouTube data verbs.""" + +from __future__ import annotations + +from app.capabilities.youtube.comments import definition as _comments # noqa: F401 +from app.capabilities.youtube.scrape import definition as _scrape # noqa: F401 diff --git a/surfsense_backend/app/capabilities/youtube/comments/__init__.py b/surfsense_backend/app/capabilities/youtube/comments/__init__.py new file mode 100644 index 000000000..cd4196de3 --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/comments/__init__.py @@ -0,0 +1,3 @@ +"""``youtube.comments`` verb: video URLs → comment items (+ replies).""" + +from __future__ import annotations diff --git a/surfsense_backend/app/capabilities/youtube/comments/definition.py b/surfsense_backend/app/capabilities/youtube/comments/definition.py new file mode 100644 index 000000000..ec689a23c --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/comments/definition.py @@ -0,0 +1,24 @@ +"""``youtube.comments`` capability registration (billed per comment; see config +``YOUTUBE_MICROS_PER_COMMENT``).""" + +from __future__ import annotations + +from app.capabilities.core import BillingUnit, Capability, register_capability +from app.capabilities.youtube.comments.executor import build_comments_executor +from app.capabilities.youtube.comments.schemas import CommentsInput, CommentsOutput + +YOUTUBE_COMMENTS = Capability( + name="youtube.comments", + description=( + "Fetch public comments (and their replies) for one or more YouTube " + "videos. Give it the video URLs; returns structured comment items with " + "author, text, like count, reply relationships, and timestamps. Use it " + "to gauge sentiment or pull discussion on specific videos." + ), + input_schema=CommentsInput, + output_schema=CommentsOutput, + executor=build_comments_executor(), + billing_unit=BillingUnit.YOUTUBE_COMMENT, +) + +register_capability(YOUTUBE_COMMENTS) diff --git a/surfsense_backend/app/capabilities/youtube/comments/executor.py b/surfsense_backend/app/capabilities/youtube/comments/executor.py new file mode 100644 index 000000000..a682f118d --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/comments/executor.py @@ -0,0 +1,43 @@ +"""``youtube.comments`` executor: verb input → scraper → comment items.""" + +from __future__ import annotations + +from collections.abc import Awaitable, Callable + +from app.capabilities.core import Executor +from app.capabilities.core.progress import emit_progress +from app.capabilities.youtube.comments.schemas import CommentsInput, CommentsOutput +from app.proprietary.platforms.youtube import ( + YouTubeCommentsInput, + scrape_comments, +) + +CommentsFn = Callable[[YouTubeCommentsInput], Awaitable[list[dict]]] + + +def build_comments_executor(scrape_fn: CommentsFn | None = None) -> Executor: + """Bind the executor to a comments scraper fn (defaults to the proprietary actor).""" + scrape_fn = scrape_fn or scrape_comments + + async def execute(payload: CommentsInput) -> CommentsOutput: + actor_input = YouTubeCommentsInput( + startUrls=[{"url": url} for url in payload.urls], + maxComments=payload.max_comments, + sortCommentsBy=payload.sort_by, + ) + emit_progress( + "starting", + "Fetching YouTube comments", + total=payload.max_comments, + unit="comment", + ) + items = await scrape_fn(actor_input) + emit_progress( + "done", + f"Scraped {len(items)} comment(s)", + current=len(items), + unit="comment", + ) + return CommentsOutput(items=items) + + return execute diff --git a/surfsense_backend/app/capabilities/youtube/comments/schemas.py b/surfsense_backend/app/capabilities/youtube/comments/schemas.py new file mode 100644 index 000000000..a9da5b7a2 --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/comments/schemas.py @@ -0,0 +1,55 @@ +"""``youtube.comments`` I/O contracts. + +A lean surface over ``YouTubeCommentsInput``; the scraper's ``CommentItem`` is +reused verbatim as the output element. +""" + +from __future__ import annotations + +from typing import Literal + +from pydantic import BaseModel, Field + +from app.proprietary.platforms.youtube import CommentItem + +MAX_COMMENT_VIDEOS = 20 +"""Per-call cap on how many video URLs one request may harvest comments from.""" + + +class CommentsInput(BaseModel): + urls: list[str] = Field( + min_length=1, + max_length=MAX_COMMENT_VIDEOS, + description="YouTube video URLs to fetch comments (and replies) for (1-20).", + ) + max_comments: int = Field( + default=20, + ge=1, + le=100_000, + description=( + "Max items returned per video, counting both top-level comments and " + "their replies." + ), + ) + sort_by: Literal["TOP_COMMENTS", "NEWEST_FIRST"] = Field( + default="NEWEST_FIRST", + description="Comment ordering: most-liked first, or most-recent first.", + ) + + @property + def estimated_units(self) -> int: + """Worst-case billable comments for the pre-flight gate: up to + ``max_comments`` per video URL.""" + return len(self.urls) * self.max_comments + + +class CommentsOutput(BaseModel): + items: list[CommentItem] = Field( + default_factory=list, + description="One item per comment or reply, in the scraper's emission order.", + ) + + @property + def billable_units(self) -> int: + """One returned comment or reply = one billable unit.""" + return len(self.items) diff --git a/surfsense_backend/app/capabilities/youtube/scrape/__init__.py b/surfsense_backend/app/capabilities/youtube/scrape/__init__.py new file mode 100644 index 000000000..ca3c96599 --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/scrape/__init__.py @@ -0,0 +1,3 @@ +"""``youtube.scrape`` verb: YouTube URLs / search queries → video items.""" + +from __future__ import annotations diff --git a/surfsense_backend/app/capabilities/youtube/scrape/definition.py b/surfsense_backend/app/capabilities/youtube/scrape/definition.py new file mode 100644 index 000000000..43874e254 --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/scrape/definition.py @@ -0,0 +1,25 @@ +"""``youtube.scrape`` capability registration (billed per video; see config +``YOUTUBE_MICROS_PER_VIDEO``).""" + +from __future__ import annotations + +from app.capabilities.core import BillingUnit, Capability, register_capability +from app.capabilities.youtube.scrape.executor import build_scrape_executor +from app.capabilities.youtube.scrape.schemas import ScrapeInput, ScrapeOutput + +YOUTUBE_SCRAPE = Capability( + name="youtube.scrape", + description=( + "Scrape public YouTube data. Give it YouTube URLs (video, channel, " + "playlist, shorts, or hashtag) and/or search queries, and it returns " + "structured video items — title, views, likes, publish date, channel " + "info, description, and optionally subtitles. Use search_queries to " + "discover videos, or urls to pull a known video/channel/playlist." + ), + input_schema=ScrapeInput, + output_schema=ScrapeOutput, + executor=build_scrape_executor(), + billing_unit=BillingUnit.YOUTUBE_VIDEO, +) + +register_capability(YOUTUBE_SCRAPE) diff --git a/surfsense_backend/app/capabilities/youtube/scrape/executor.py b/surfsense_backend/app/capabilities/youtube/scrape/executor.py new file mode 100644 index 000000000..1a1ce175d --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/scrape/executor.py @@ -0,0 +1,46 @@ +"""``youtube.scrape`` executor: verb input → scraper → video items.""" + +from __future__ import annotations + +from collections.abc import Awaitable, Callable + +from app.capabilities.core import Executor +from app.capabilities.core.progress import emit_progress +from app.capabilities.youtube.scrape.schemas import ScrapeInput, ScrapeOutput +from app.proprietary.platforms.youtube import ( + YouTubeScrapeInput, + scrape_youtube, +) + +ScrapeFn = Callable[[YouTubeScrapeInput], Awaitable[list[dict]]] + + +def build_scrape_executor(scrape_fn: ScrapeFn | None = None) -> Executor: + """Bind the executor to a scraper fn (defaults to the proprietary actor).""" + scrape_fn = scrape_fn or scrape_youtube + + async def execute(payload: ScrapeInput) -> ScrapeOutput: + # Channels emit three content types; cap each at the caller's max_results + # so a channel scrape isn't silently limited to plain videos only. + actor_input = YouTubeScrapeInput( + startUrls=[{"url": url} for url in payload.urls], + searchQueries=payload.search_queries, + maxResults=payload.max_results, + maxResultsShorts=payload.max_results, + maxResultStreams=payload.max_results, + downloadSubtitles=payload.download_subtitles, + subtitlesLanguage=payload.subtitles_language, + ) + emit_progress( + "starting", + "Resolving YouTube targets", + total=payload.max_results, + unit="video", + ) + items = await scrape_fn(actor_input) + emit_progress( + "done", f"Scraped {len(items)} video(s)", current=len(items), unit="video" + ) + return ScrapeOutput(items=items) + + return execute diff --git a/surfsense_backend/app/capabilities/youtube/scrape/schemas.py b/surfsense_backend/app/capabilities/youtube/scrape/schemas.py new file mode 100644 index 000000000..4d80769b6 --- /dev/null +++ b/surfsense_backend/app/capabilities/youtube/scrape/schemas.py @@ -0,0 +1,82 @@ +"""``youtube.scrape`` I/O contracts. + +A lean, agent-friendly surface over ``YouTubeScrapeInput`` +(``app/proprietary/platforms/youtube``). The executor maps this to the full +scraper input; the scraper's ``VideoItem`` is reused verbatim as the output +element. +""" + +from __future__ import annotations + +from pydantic import BaseModel, Field, model_validator + +from app.proprietary.platforms.youtube import VideoItem + +MAX_YOUTUBE_SOURCES = 20 +"""Per-call cap on URLs + queries: bounds a synchronous request's fan-out (05).""" + + +class ScrapeInput(BaseModel): + urls: list[str] = Field( + default_factory=list, + max_length=MAX_YOUTUBE_SOURCES, + description=( + "YouTube URLs to scrape: video, channel (/@handle or /channel/UC...), " + "playlist (?list=...), shorts, or hashtag pages. Provide these OR " + "search_queries (at least one is required)." + ), + ) + search_queries: list[str] = Field( + default_factory=list, + max_length=MAX_YOUTUBE_SOURCES, + description=( + "Search terms to run on YouTube; each returns up to max_results videos. " + "Provide these OR urls (at least one is required)." + ), + ) + max_results: int = Field( + default=10, + ge=1, + le=1000, + description=( + "Max items to return per source and per content type (videos, shorts, " + "streams are capped independently for a channel)." + ), + ) + download_subtitles: bool = Field( + default=False, + description="Also fetch each video's subtitle track (slower; more requests).", + ) + subtitles_language: str = Field( + default="en", + description="Subtitle language code (e.g. 'en', 'fr'). Used when download_subtitles is true.", + ) + + @model_validator(mode="after") + def _require_a_source(self) -> ScrapeInput: + if not self.urls and not self.search_queries: + raise ValueError("Provide at least one of 'urls' or 'search_queries'.") + return self + + @property + def estimated_units(self) -> int: + """Worst-case billable videos for the pre-flight gate. + + The x3 is load-bearing: for a channel source ``max_results`` caps + videos, shorts, and streams *independently*, so one source can return + up to 3x ``max_results`` items. Over-reserving here keeps the + never-go-negative invariant a passing gate promises. + """ + return (len(self.urls) + len(self.search_queries)) * self.max_results * 3 + + +class ScrapeOutput(BaseModel): + items: list[VideoItem] = Field( + default_factory=list, + description="One video item per result, in the scraper's emission order.", + ) + + @property + def billable_units(self) -> int: + """One returned video/short/stream = one billable unit.""" + return len(self.items) diff --git a/surfsense_backend/app/celery_app.py b/surfsense_backend/app/celery_app.py index 331ed0f40..471d80197 100644 --- a/surfsense_backend/app/celery_app.py +++ b/surfsense_backend/app/celery_app.py @@ -244,7 +244,6 @@ celery_app.conf.update( "index_google_gmail_messages": {"queue": CONNECTORS_QUEUE}, "index_google_drive_files": {"queue": CONNECTORS_QUEUE}, "index_elasticsearch_documents": {"queue": CONNECTORS_QUEUE}, - "index_crawled_urls": {"queue": CONNECTORS_QUEUE}, "index_bookstack_pages": {"queue": CONNECTORS_QUEUE}, "index_composio_connector": {"queue": CONNECTORS_QUEUE}, "index_obsidian_attachment": {"queue": CONNECTORS_QUEUE}, diff --git a/surfsense_backend/app/config/__init__.py b/surfsense_backend/app/config/__init__.py index 405718f0c..5d8e96881 100644 --- a/surfsense_backend/app/config/__init__.py +++ b/surfsense_backend/app/config/__init__.py @@ -554,9 +554,6 @@ class Config: os.getenv("SURFSENSE_CONNECTOR_DISCOVERY_TTL_SECONDS", "30") ) - # Platform web search (SearXNG) - SEARXNG_DEFAULT_HOST = os.getenv("SEARXNG_DEFAULT_HOST") - SURFSENSE_PUBLIC_URL = os.getenv("SURFSENSE_PUBLIC_URL") NEXT_FRONTEND_URL = os.getenv("NEXT_FRONTEND_URL") or SURFSENSE_PUBLIC_URL # Backend URL to override the http to https in the OAuth redirect URI @@ -654,6 +651,70 @@ class Config: ) MICROS_PER_PAGE = int(os.getenv("MICROS_PER_PAGE", "1000")) + # Web-crawl billing debits the credit wallet per *successful* crawl request + # (CrawlOutcomeStatus.SUCCESS). Off by default so self-hosted / OSS installs + # keep crawling effectively-free; hosted deployments set this TRUE. + # + # The price is fully config-driven — there is no hardcoded rate anywhere. + # ``WEB_CRAWL_MICROS_PER_SUCCESS`` is the single source of truth; retune it + # to any rate with just an env change + restart (no code/migration): + # WEB_CRAWL_MICROS_PER_SUCCESS = round(USD_per_1000_crawls * 1_000) + # $2/1000 -> 2000 (default) | $1/1000 -> 1000 | $0.50/1000 -> 500 + WEB_CRAWL_CREDIT_BILLING_ENABLED = ( + os.getenv("WEB_CRAWL_CREDIT_BILLING_ENABLED", "FALSE").upper() == "TRUE" + ) + WEB_CRAWL_MICROS_PER_SUCCESS = int( + os.getenv("WEB_CRAWL_MICROS_PER_SUCCESS", "2000") + ) + + # Phase 3d captcha-solve billing. Captcha can't ride the per-success crawl + # meter above: the solver charges per *attempt* regardless of whether the + # crawl ultimately succeeds, so solves are metered as a SEPARATE per-attempt + # unit (usage_type="web_crawl_captcha"). Off by default; independent of the + # crawl-billing flag. Price is config-driven (no hardcoded rate): + # WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE = round(USD_per_1000_solves * 1_000) + # $3/1000 -> 3000 (default) | $5/1000 -> 5000 + # Set with margin over the solver vendor's per-attempt price. + WEB_CRAWL_CAPTCHA_BILLING_ENABLED = ( + os.getenv("WEB_CRAWL_CAPTCHA_BILLING_ENABLED", "FALSE").upper() == "TRUE" + ) + WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE = int( + os.getenv("WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE", "3000") + ) + + # Platform-native scraper billing (Reddit, Google Search, Google Maps, + # YouTube). Debits the credit wallet per *item returned* — the same + # per-unit model as web crawl, one meter per verb. Off by default so + # self-hosted / OSS installs keep scraping effectively-free; hosted + # deployments set this TRUE. + # + # Rates are fully config-driven (no hardcoded price). Each is micro-USD + # per item; retune with an env change + restart (no code/migration): + # <KEY> = round(USD_per_1000_items * 1_000) + # $3.50/1000 -> 3500 | $5.00/1000 -> 5000 | $2.00/1000 -> 2000 + # Defaults sit at/above Apify's first-party actor rates (Jul 2026), which + # is justified because SurfSense charges no subscription tiers, no + # per-run actor-start fees, and no separate proxy/compute/storage billing. + PLATFORM_SCRAPE_BILLING_ENABLED = ( + os.getenv("PLATFORM_SCRAPE_BILLING_ENABLED", "FALSE").upper() == "TRUE" + ) + REDDIT_SCRAPE_MICROS_PER_ITEM = int( + os.getenv("REDDIT_SCRAPE_MICROS_PER_ITEM", "3500") + ) + GOOGLE_SEARCH_MICROS_PER_SERP = int( + os.getenv("GOOGLE_SEARCH_MICROS_PER_SERP", "5500") + ) + GOOGLE_MAPS_MICROS_PER_PLACE = int( + os.getenv("GOOGLE_MAPS_MICROS_PER_PLACE", "3500") + ) + GOOGLE_MAPS_MICROS_PER_REVIEW = int( + os.getenv("GOOGLE_MAPS_MICROS_PER_REVIEW", "1500") + ) + YOUTUBE_MICROS_PER_VIDEO = int(os.getenv("YOUTUBE_MICROS_PER_VIDEO", "2500")) + # Kept separate from the video rate so comments can be re-tuned toward the + # cheaper per-comment market ($0.40-2.00/1k) without touching video pricing. + YOUTUBE_MICROS_PER_COMMENT = int(os.getenv("YOUTUBE_MICROS_PER_COMMENT", "1500")) + # Low-balance WARNING threshold (micro-USD). Surfaced by the quota service # so the UI can nudge the user to top up / enable auto-reload. $0.50. CREDIT_LOW_BALANCE_WARNING_MICROS = int( @@ -839,8 +900,8 @@ class Config: # Legacy environment variables removed in favor of user-specific configurations # True when an operator-provided global_llm_config.yaml is present. - # Used to gate the per-search-space LLM onboarding flow: when a global - # config file exists, search spaces inherit it and onboarding is skipped. + # Used to gate the per-workspace LLM onboarding flow: when a global + # config file exists, workspaces inherit it and onboarding is skipped. GLOBAL_LLM_CONFIG_FILE_EXISTS = ( BASE_DIR / "app" / "config" / "global_llm_config.yaml" ).exists() @@ -1006,16 +1067,75 @@ class Config: # Proxy provider selection. Maps to a ProxyProvider implementation registered # in app/utils/proxy/registry.py. Add new vendors there and switch via this var. - PROXY_PROVIDER = os.getenv("PROXY_PROVIDER", "anonymous_proxies") + PROXY_PROVIDER = os.getenv("PROXY_PROVIDER", "custom") - # Residential Proxy Configuration (anonymous-proxies.net) - # Used for web crawling and YouTube transcript fetching to avoid IP bans. - # Consumed by the "anonymous_proxies" proxy provider. - RESIDENTIAL_PROXY_USERNAME = os.getenv("RESIDENTIAL_PROXY_USERNAME") - RESIDENTIAL_PROXY_PASSWORD = os.getenv("RESIDENTIAL_PROXY_PASSWORD") - RESIDENTIAL_PROXY_HOSTNAME = os.getenv("RESIDENTIAL_PROXY_HOSTNAME") - RESIDENTIAL_PROXY_LOCATION = os.getenv("RESIDENTIAL_PROXY_LOCATION", "") - RESIDENTIAL_PROXY_TYPE = int(os.getenv("RESIDENTIAL_PROXY_TYPE", "1")) + # Proxy endpoint(s), shared across all providers — PROXY_PROVIDER selects how + # they're interpreted, not a different env name. PROXY_URL is a single full + # http://user:pass@host:port endpoint (used by every provider); e.g. DataImpulse + # encodes country as a "__cr.<country>" username suffix that its provider parses + # for geoip-match. PROXY_URLS is a comma-separated pool that the "custom" provider + # rotates client-side (server-side-rotating gateways ignore it). Leave unset to + # disable proxying. + PROXY_URL = os.getenv("PROXY_URL") + PROXY_URLS = os.getenv("PROXY_URLS") + + # ===================================================================== + # Phase 3d — Captcha solving (reCAPTCHA v2/v3, hCaptcha) via captchatools. + # The LAST-resort bypass tier: only fires on the StealthyFetcher browser + # tier, only when a sitekey is detected, and only when explicitly enabled. + # Cloudflare Turnstile is already handled free in-framework (03a), NOT here. + # One app-wide config (mirrors the single PROXY_PROVIDER model) — no + # per-connector config. Off by default => zero solve attempts, zero cost. + # Solving may violate a target site's ToS; treat as opt-in/owner-acknowledged + # and public-data only (no logged-in bypass). + # ===================================================================== + CAPTCHA_SOLVING_ENABLED = ( + os.getenv("CAPTCHA_SOLVING_ENABLED", "FALSE").upper() == "TRUE" + ) + # captchatools "solving_site": capmonster | 2captcha | anticaptcha | + # capsolver | captchaai. captchatools is itself the provider registry, so we + # do not rebuild a vendor hierarchy. + CAPTCHA_SOLVER_PROVIDER = os.getenv("CAPTCHA_SOLVER_PROVIDER", "capsolver") + CAPTCHA_SOLVER_API_KEY = os.getenv("CAPTCHA_SOLVER_API_KEY") + # Per-URL solve cap so one hostile page can't burn unbounded solver credit. + CAPTCHA_MAX_ATTEMPTS_PER_URL = int(os.getenv("CAPTCHA_MAX_ATTEMPTS_PER_URL", "1")) + # Abort a single solve after this many seconds (solves take 10-60s). + CAPTCHA_SOLVE_TIMEOUT_S = int(os.getenv("CAPTCHA_SOLVE_TIMEOUT_S", "120")) + # Default captcha type when detection is ambiguous: v2 | v3 | hcaptcha. + CAPTCHA_TYPE_DEFAULT = os.getenv("CAPTCHA_TYPE_DEFAULT", "v2") + # reCAPTCHA v3 tuning (only used for v3 challenges). + CAPTCHA_V3_MIN_SCORE = float(os.getenv("CAPTCHA_V3_MIN_SCORE", "0.7")) + CAPTCHA_V3_ACTION = os.getenv("CAPTCHA_V3_ACTION", "verify") + + # ===================================================================== + # Phase 3e — Stealth hardening (Slice A): runtime/config-level levers + # layered on Scrapling's patchright-Chromium StealthyFetcher tier. All are + # consumed by the centralized kwargs builder in + # app/proprietary/web_crawler/stealth.py (proprietary — bypass tuning), which + # is the single source of truth imported by the crawler AND the 03f harness + # (no test-vs-prod drift). Defaults preserve today's behavior / + # introduce no crawl-speed regression. See plans/backend/03e-stealth-hardening.md. + # ===================================================================== + # Map the active proxy provider's exit region (ProxyProvider.get_location()) + # -> browser locale/timezone so the fingerprint coheres with the proxy exit + # geo. No exit-IP lookup (zero added latency); unknown/empty region => skip. + CRAWL_GEOIP_MATCH_ENABLED = ( + os.getenv("CRAWL_GEOIP_MATCH_ENABLED", "FALSE").upper() == "TRUE" + ) + # Force WebRTC to respect the proxy (prevents real-local-IP leak). Cheap + + # safe => default TRUE. + CRAWL_BLOCK_WEBRTC = os.getenv("CRAWL_BLOCK_WEBRTC", "TRUE").upper() == "TRUE" + # Random canvas noise. An UNSTABLE canvas hash is itself a fingerprint tell, + # so default FALSE (opt-in + 03f-validated). See 03e §2. + CRAWL_HIDE_CANVAS = os.getenv("CRAWL_HIDE_CANVAS", "FALSE").upper() == "TRUE" + # Set a Google referer so the first hit looks like organic arrival. + CRAWL_GOOGLE_SEARCH_REFERER = ( + os.getenv("CRAWL_GOOGLE_SEARCH_REFERER", "TRUE").upper() == "TRUE" + ) + # Route DNS via Cloudflare DoH (anti DNS-leak behind proxies). Adds a DNS + # round-trip => default FALSE to honor the "no speed regression" bar; flip on + # when leak-safety outweighs the marginal latency. + CRAWL_DNS_OVER_HTTPS = os.getenv("CRAWL_DNS_OVER_HTTPS", "FALSE").upper() == "TRUE" # Litellm TTS Configuration TTS_SERVICE = os.getenv("TTS_SERVICE") diff --git a/surfsense_backend/app/connectors/google_drive/content_extractor.py b/surfsense_backend/app/connectors/google_drive/content_extractor.py index 1ea047978..9df7640eb 100644 --- a/surfsense_backend/app/connectors/google_drive/content_extractor.py +++ b/surfsense_backend/app/connectors/google_drive/content_extractor.py @@ -136,7 +136,7 @@ async def _parse_file_to_markdown( async def download_and_process_file( client: GoogleDriveClient, file: dict[str, Any], - search_space_id: int, + workspace_id: int, user_id: str, session: AsyncSession, task_logger: TaskLoggingService, @@ -149,7 +149,7 @@ async def download_and_process_file( Args: client: GoogleDriveClient instance file: File metadata from Drive API - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user session: Database session task_logger: Task logging service @@ -246,7 +246,7 @@ async def download_and_process_file( await process_file_in_background( file_path=temp_file_path, filename=etl_filename, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, session=session, task_logger=task_logger, diff --git a/surfsense_backend/app/connectors/webcrawler_connector.py b/surfsense_backend/app/connectors/webcrawler_connector.py deleted file mode 100644 index 1d4ff1f58..000000000 --- a/surfsense_backend/app/connectors/webcrawler_connector.py +++ /dev/null @@ -1,538 +0,0 @@ -""" -WebCrawler Connector Module - -A module for crawling web pages and extracting content using Firecrawl or -Scrapling's tiered fetchers, with Trafilatura for HTML -> markdown extraction. -Provides a unified interface for web scraping. - -Fallback order: - 1. Firecrawl (if API key is configured) - 2. Scrapling AsyncFetcher (fast static HTTP, no browser subprocess) - 3. Scrapling DynamicFetcher (full browser, run in a thread) - 4. Scrapling StealthyFetcher (anti-bot stealth browser, run in a thread) -""" - -import asyncio -import logging -import time -from typing import Any - -import trafilatura -import validators -from firecrawl import AsyncFirecrawlApp -from scrapling.fetchers import AsyncFetcher, DynamicFetcher, StealthyFetcher - -from app.utils.proxy import get_proxy_url - -logger = logging.getLogger(__name__) - -# Prefix for performance/timing log lines so they are easy to grep/filter. -_PERF = "[webcrawler][perf]" - - -class WebCrawlerConnector: - """Class for crawling web pages and extracting content.""" - - def __init__(self, firecrawl_api_key: str | None = None): - """ - Initialize the WebCrawlerConnector class. - - Args: - firecrawl_api_key: Firecrawl API key (optional). If provided, Firecrawl will be tried first - and Scrapling will be used as fallback if Firecrawl fails. If not provided, - Scrapling fetchers are used directly. - """ - self.firecrawl_api_key = firecrawl_api_key - self.use_firecrawl = bool(firecrawl_api_key) - - def set_api_key(self, api_key: str) -> None: - """ - Set the Firecrawl API key and enable Firecrawl usage. - - Args: - api_key: Firecrawl API key - """ - self.firecrawl_api_key = api_key - self.use_firecrawl = True - - async def crawl_url( - self, url: str, formats: list[str] | None = None - ) -> tuple[dict[str, Any] | None, str | None]: - """ - Crawl a single URL and extract its content. - - Fallback order: - 1. Firecrawl (if API key configured) - 2. Scrapling AsyncFetcher (fast static HTTP, no subprocess) - 3. Scrapling DynamicFetcher (full browser, run in a thread) - 4. Scrapling StealthyFetcher (anti-bot stealth browser, run in a thread) - - Args: - url: URL to crawl - formats: List of formats to extract (e.g., ["markdown", "html"]) - only for Firecrawl - - Returns: - Tuple containing (crawl result dict, error message or None) - Result dict contains: - - content: Extracted content (markdown or HTML) - - metadata: Page metadata (title, description, etc.) - - source: Original URL - - crawler_type: Type of crawler used - """ - total_start = time.perf_counter() - try: - if not validators.url(url): - return None, f"Invalid URL: {url}" - - errors: list[str] = [] - - # --- 1. Firecrawl (premium, if configured) --- - if self.use_firecrawl: - tier_start = time.perf_counter() - try: - logger.info(f"[webcrawler] Using Firecrawl for: {url}") - result = await self._crawl_with_firecrawl(url, formats) - self._log_tier_outcome("firecrawl", url, tier_start, "success") - self._log_total(url, "firecrawl", total_start) - return result, None - except Exception as exc: - errors.append(f"Firecrawl: {exc!s}") - self._log_tier_outcome("firecrawl", url, tier_start, "error", exc) - - # --- 2. Scrapling AsyncFetcher (fast static HTTP) --- - tier_start = time.perf_counter() - try: - logger.info(f"[webcrawler] Using Scrapling AsyncFetcher for: {url}") - result = await self._crawl_with_async_fetcher(url) - if result: - self._log_tier_outcome( - "scrapling-static", url, tier_start, "success" - ) - self._log_total(url, "scrapling-static", total_start) - return result, None - errors.append("Scrapling static: empty extraction") - self._log_tier_outcome("scrapling-static", url, tier_start, "empty") - except Exception as exc: - errors.append(f"Scrapling static: {exc!s}") - self._log_tier_outcome( - "scrapling-static", url, tier_start, "error", exc - ) - - # --- 3. Scrapling DynamicFetcher (full browser) --- - tier_start = time.perf_counter() - try: - logger.info(f"[webcrawler] Using Scrapling DynamicFetcher for: {url}") - result = await self._crawl_with_dynamic(url) - if result: - self._log_tier_outcome( - "scrapling-dynamic", url, tier_start, "success" - ) - self._log_total(url, "scrapling-dynamic", total_start) - return result, None - errors.append("Scrapling dynamic: empty extraction") - self._log_tier_outcome("scrapling-dynamic", url, tier_start, "empty") - except NotImplementedError: - errors.append( - "Scrapling dynamic: event loop does not support subprocesses " - "(common on Windows with uvicorn --reload)" - ) - self._log_tier_outcome( - "scrapling-dynamic", url, tier_start, "unavailable" - ) - except Exception as exc: - errors.append(f"Scrapling dynamic: {exc!s}") - self._log_tier_outcome( - "scrapling-dynamic", url, tier_start, "error", exc - ) - - # --- 4. Scrapling StealthyFetcher (anti-bot, last resort) --- - tier_start = time.perf_counter() - try: - logger.info(f"[webcrawler] Using Scrapling StealthyFetcher for: {url}") - result = await self._crawl_with_stealthy(url) - if result: - self._log_tier_outcome( - "scrapling-stealthy", url, tier_start, "success" - ) - self._log_total(url, "scrapling-stealthy", total_start) - return result, None - errors.append("Scrapling stealthy: empty extraction") - self._log_tier_outcome("scrapling-stealthy", url, tier_start, "empty") - except NotImplementedError: - errors.append( - "Scrapling stealthy: event loop does not support subprocesses " - "(common on Windows with uvicorn --reload)" - ) - self._log_tier_outcome( - "scrapling-stealthy", url, tier_start, "unavailable" - ) - except Exception as exc: - errors.append(f"Scrapling stealthy: {exc!s}") - self._log_tier_outcome( - "scrapling-stealthy", url, tier_start, "error", exc - ) - - self._log_total(url, "none", total_start) - return None, f"All crawl methods failed for {url}. {'; '.join(errors)}" - - except Exception as e: - self._log_total(url, "error", total_start) - return None, f"Error crawling URL {url}: {e!s}" - - @staticmethod - def _log_tier_outcome( - tier: str, - url: str, - tier_start: float, - outcome: str, - exc: Exception | None = None, - ) -> None: - """Log how long a single tier took and how it ended.""" - elapsed_ms = (time.perf_counter() - tier_start) * 1000 - if outcome == "error": - logger.warning( - "%s tier=%s url=%s elapsed_ms=%.1f outcome=error error=%s", - _PERF, - tier, - url, - elapsed_ms, - exc, - ) - else: - logger.info( - "%s tier=%s url=%s elapsed_ms=%.1f outcome=%s", - _PERF, - tier, - url, - elapsed_ms, - outcome, - ) - - @staticmethod - def _log_total(url: str, selected: str, total_start: float) -> None: - """Log the total time spent across all attempted tiers.""" - total_ms = (time.perf_counter() - total_start) * 1000 - logger.info( - "%s url=%s selected=%s total_ms=%.1f", - _PERF, - url, - selected, - total_ms, - ) - - async def _crawl_with_firecrawl( - self, url: str, formats: list[str] | None = None - ) -> dict[str, Any]: - """ - Crawl URL using Firecrawl. - - Args: - url: URL to crawl - formats: List of formats to extract - - Returns: - Dict containing crawled content and metadata - - Raises: - ValueError: If Firecrawl scraping fails - """ - if not self.firecrawl_api_key: - raise ValueError("Firecrawl API key not set. Call set_api_key() first.") - - firecrawl_app = AsyncFirecrawlApp(api_key=self.firecrawl_api_key) - - # Default to markdown format - if formats is None: - formats = ["markdown"] - - # v2 API returns Document directly and raises an exception on failure - scrape_result = await firecrawl_app.scrape(url, formats=formats) - - if not scrape_result: - raise ValueError("Firecrawl returned no result") - - # Extract content based on format - content = scrape_result.markdown or scrape_result.html or "" - - # Extract metadata - v2 returns DocumentMetadata object - metadata_obj = scrape_result.metadata - metadata = metadata_obj.model_dump() if metadata_obj else {} - - return { - "content": content, - "metadata": { - "source": url, - "title": metadata.get("title", url), - "description": metadata.get("description", ""), - "language": metadata.get("language", ""), - "sourceURL": metadata.get("source_url", url), - **metadata, - }, - "crawler_type": "firecrawl", - } - - async def _crawl_with_async_fetcher(self, url: str) -> dict[str, Any] | None: - """ - Crawl URL using Scrapling's AsyncFetcher (static HTTP) + Trafilatura. - - AsyncFetcher is httpx/curl_cffi based and does not launch a browser - subprocess, making it safe to call from any asyncio event loop. Returns - ``None`` when Trafilatura cannot extract meaningful content (e.g. JS - rendered SPAs) so the caller can fall through to the browser tiers. - """ - fetch_start = time.perf_counter() - page = await AsyncFetcher.get( - url, - stealthy_headers=True, - proxy=get_proxy_url(), - timeout=20, - ) - fetch_ms = (time.perf_counter() - fetch_start) * 1000 - - status = getattr(page, "status", None) - if status is not None and status >= 400: - logger.info( - "%s tier=scrapling-static url=%s fetch_ms=%.1f status=%s outcome=http_error", - _PERF, - url, - fetch_ms, - status, - ) - return None - - return self._build_result( - page.html_content, - url, - "scrapling-static", - allow_raw_fallback=False, - fetch_ms=fetch_ms, - status=status, - ) - - async def _crawl_with_dynamic(self, url: str) -> dict[str, Any] | None: - """ - Crawl URL using Scrapling's DynamicFetcher (full browser) + Trafilatura. - - Runs the sync fetch in a worker thread so it works on any event loop, - including Windows ``SelectorEventLoop`` which cannot spawn subprocesses. - """ - return await asyncio.to_thread(self._crawl_with_dynamic_sync, url) - - def _crawl_with_dynamic_sync(self, url: str) -> dict[str, Any] | None: - """Synchronous DynamicFetcher crawl executed in a worker thread.""" - fetch_start = time.perf_counter() - page = DynamicFetcher.fetch( - url, - headless=True, - network_idle=True, - timeout=30000, - proxy=get_proxy_url(), - ) - fetch_ms = (time.perf_counter() - fetch_start) * 1000 - return self._build_result( - page.html_content, - url, - "scrapling-dynamic", - allow_raw_fallback=False, - fetch_ms=fetch_ms, - status=getattr(page, "status", None), - ) - - async def _crawl_with_stealthy(self, url: str) -> dict[str, Any] | None: - """ - Crawl URL using Scrapling's StealthyFetcher (Camoufox) + Trafilatura. - - Last-resort tier with anti-bot features. Runs the sync fetch in a worker - thread for the same event-loop-safety reasons as DynamicFetcher. Falls - back to the raw HTML when Trafilatura extraction is empty. - """ - return await asyncio.to_thread(self._crawl_with_stealthy_sync, url) - - def _crawl_with_stealthy_sync(self, url: str) -> dict[str, Any] | None: - """Synchronous StealthyFetcher crawl executed in a worker thread.""" - fetch_start = time.perf_counter() - page = StealthyFetcher.fetch( - url, - headless=True, - network_idle=True, - block_ads=True, - proxy=get_proxy_url(), - ) - fetch_ms = (time.perf_counter() - fetch_start) * 1000 - return self._build_result( - page.html_content, - url, - "scrapling-stealthy", - allow_raw_fallback=True, - fetch_ms=fetch_ms, - status=getattr(page, "status", None), - ) - - def _build_result( - self, - raw_html: str | None, - url: str, - crawler_type: str, - *, - allow_raw_fallback: bool, - fetch_ms: float | None = None, - status: int | None = None, - ) -> dict[str, Any] | None: - """ - Extract markdown + metadata from raw HTML using Trafilatura. - - Args: - raw_html: Raw HTML source from a fetcher. - url: Original URL (used as the metadata source/title fallback). - crawler_type: Identifier of the tier that produced the HTML. - allow_raw_fallback: When True, return the raw HTML as content if - Trafilatura cannot extract anything (used by the last-resort - stealthy tier). When False, return ``None`` so the caller can - fall through to the next tier. - fetch_ms: Time spent fetching the page (for perf logging). - status: HTTP status code returned by the fetcher (for perf logging). - - Returns: - Result dict (content/metadata/crawler_type) or ``None``. - """ - html_len = len(raw_html) if raw_html else 0 - - if not raw_html or len(raw_html.strip()) == 0: - self._log_build( - crawler_type, url, fetch_ms, 0.0, status, html_len, 0, "empty_html" - ) - return None - - extract_start = time.perf_counter() - extracted_content: str | None = None - trafilatura_metadata = None - - try: - extracted_content = trafilatura.extract( - raw_html, - output_format="markdown", - include_comments=False, - include_tables=True, - include_images=True, - include_links=True, - ) - trafilatura_metadata = trafilatura.extract_metadata(raw_html) - - if extracted_content and len(extracted_content.strip()) == 0: - extracted_content = None - except Exception: - extracted_content = None - - extract_ms = (time.perf_counter() - extract_start) * 1000 - - if not extracted_content and not allow_raw_fallback: - self._log_build( - crawler_type, - url, - fetch_ms, - extract_ms, - status, - html_len, - 0, - "no_extraction", - ) - return None - - metadata: dict[str, str] = {"source": url} - if trafilatura_metadata: - if trafilatura_metadata.title: - metadata["title"] = trafilatura_metadata.title - if trafilatura_metadata.description: - metadata["description"] = trafilatura_metadata.description - if trafilatura_metadata.author: - metadata["author"] = trafilatura_metadata.author - if trafilatura_metadata.date: - metadata["date"] = trafilatura_metadata.date - metadata.setdefault("title", url) - - content = extracted_content if extracted_content else raw_html - self._log_build( - crawler_type, - url, - fetch_ms, - extract_ms, - status, - html_len, - len(content), - "extracted" if extracted_content else "raw_fallback", - ) - - return { - "content": content, - "metadata": metadata, - "crawler_type": crawler_type, - } - - @staticmethod - def _log_build( - crawler_type: str, - url: str, - fetch_ms: float | None, - extract_ms: float, - status: int | None, - html_len: int, - content_len: int, - outcome: str, - ) -> None: - """Emit a detailed perf line splitting fetch vs Trafilatura extraction.""" - fetch_repr = f"{fetch_ms:.1f}" if fetch_ms is not None else "n/a" - logger.info( - "%s tier=%s url=%s status=%s fetch_ms=%s extract_ms=%.1f " - "html_len=%d content_len=%d outcome=%s", - _PERF, - crawler_type, - url, - status, - fetch_repr, - extract_ms, - html_len, - content_len, - outcome, - ) - - def format_to_structured_document( - self, crawl_result: dict[str, Any], exclude_metadata: bool = False - ) -> str: - """ - Format crawl result as a structured document. - - Args: - crawl_result: Result from crawl_url method - exclude_metadata: If True, excludes ALL metadata fields from the document. - This is useful for content hash generation to ensure the hash - only changes when actual content changes, not when metadata - (which often contains dynamic fields like timestamps, IDs, etc.) changes. - - Returns: - Structured document string - """ - metadata = crawl_result["metadata"] - content = crawl_result["content"] - - document_parts = ["<DOCUMENT>"] - - # Include metadata section only if not excluded - if not exclude_metadata: - document_parts.append("<METADATA>") - for key, value in metadata.items(): - document_parts.append(f"{key.upper()}: {value}") - document_parts.append("</METADATA>") - - document_parts.extend( - [ - "<CONTENT>", - "FORMAT: markdown", - "TEXT_START", - content, - "TEXT_END", - "</CONTENT>", - "</DOCUMENT>", - ] - ) - - return "\n".join(document_parts) diff --git a/surfsense_backend/app/db.py b/surfsense_backend/app/db.py index 2c9d28b58..380a8b2bf 100644 --- a/surfsense_backend/app/db.py +++ b/surfsense_backend/app/db.py @@ -292,7 +292,7 @@ INCENTIVE_TASKS_CONFIG = { class Permission(StrEnum): """ - Granular permissions for search space resources. + Granular permissions for workspace resources. Use '*' (FULL_ACCESS) to grant all permissions. """ @@ -363,10 +363,10 @@ class Permission(StrEnum): ROLES_UPDATE = "roles:update" ROLES_DELETE = "roles:delete" - # Search Space Settings + # Workspace Settings SETTINGS_VIEW = "settings:view" SETTINGS_UPDATE = "settings:update" - SETTINGS_DELETE = "settings:delete" # Delete the entire search space + SETTINGS_DELETE = "settings:delete" # Delete the entire workspace # API Access API_ACCESS_MANAGE = "api_access:manage" @@ -515,7 +515,7 @@ class ChatVisibility(StrEnum): Visibility/sharing level for chat threads. PRIVATE: Only the creator can see/access the chat (default) - SEARCH_SPACE: All members of the search space can see/access the chat + SEARCH_SPACE: All members of the workspace can see/access the chat PUBLIC: (Future) Anyone with the link can access the chat """ @@ -605,8 +605,10 @@ class NewChatThread(BaseModel, TimestampMixin): ) # Foreign keys - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) # Track who created this chat thread (for visibility filtering) @@ -644,7 +646,7 @@ class NewChatThread(BaseModel, TimestampMixin): # Auto model pin for this thread: concrete resolved global LLM # config id. NULL means no pin; Auto will resolve on the next turn. # Single-writer invariant: only app.services.auto_model_pin_service sets - # or clears this column (plus bulk clears when a search space's + # or clears this column (plus bulk clears when a workspace's # chat_model_id changes). Unindexed: all reads are by primary key. pinned_llm_config_id = Column(Integer, nullable=True) @@ -661,7 +663,7 @@ class NewChatThread(BaseModel, TimestampMixin): ) # Relationships - search_space = relationship("SearchSpace", back_populates="new_chat_threads") + workspace = relationship("Workspace", back_populates="new_chat_threads") created_by = relationship("User", back_populates="new_chat_threads") messages = relationship( "NewChatMessage", @@ -785,8 +787,10 @@ class ExternalChatAccount(Base, TimestampMixin): owner_user_id = Column( UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=True ) - owner_search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=True + owner_workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=True, ) is_system_account = Column( Boolean, nullable=False, default=False, server_default="false" @@ -819,9 +823,7 @@ class ExternalChatAccount(Base, TimestampMixin): ) owner = relationship("User", foreign_keys=[owner_user_id]) - owner_search_space = relationship( - "SearchSpace", foreign_keys=[owner_search_space_id] - ) + owner_workspace = relationship("Workspace", foreign_keys=[owner_workspace_id]) bindings = relationship( "ExternalChatBinding", back_populates="account", @@ -897,8 +899,10 @@ class ExternalChatBinding(Base, TimestampMixin): user_id = Column( UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=False ) - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) state = Column( SQLAlchemyEnum( @@ -948,7 +952,7 @@ class ExternalChatBinding(Base, TimestampMixin): account = relationship("ExternalChatAccount", back_populates="bindings") user = relationship("User", foreign_keys=[user_id]) - search_space = relationship("SearchSpace", foreign_keys=[search_space_id]) + workspace = relationship("Workspace", foreign_keys=[workspace_id]) new_chat_thread = relationship("NewChatThread", foreign_keys=[new_chat_thread_id]) threads = relationship( "NewChatThread", @@ -978,9 +982,7 @@ class ExternalChatBinding(Base, TimestampMixin): postgresql_where=text("state = 'pending'"), ), Index("ix_external_chat_bindings_user_state", "user_id", "state"), - Index( - "ix_external_chat_bindings_search_space_state", "search_space_id", "state" - ), + Index("ix_external_chat_bindings_workspace_state", "workspace_id", "state"), ) @@ -1113,9 +1115,9 @@ class TokenUsage(BaseModel, TimestampMixin): nullable=True, index=True, ) - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False, index=True, ) @@ -1129,7 +1131,7 @@ class TokenUsage(BaseModel, TimestampMixin): # Relationships thread = relationship("NewChatThread", back_populates="token_usages") message = relationship("NewChatMessage", back_populates="token_usage") - search_space = relationship("SearchSpace") + workspace = relationship("Workspace") user = relationship("User") @@ -1318,9 +1320,9 @@ class Folder(BaseModel, TimestampMixin): nullable=True, index=True, ) - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False, index=True, ) @@ -1340,7 +1342,7 @@ class Folder(BaseModel, TimestampMixin): folder_metadata = Column("metadata", JSONB, nullable=True) parent = relationship("Folder", remote_side="Folder.id", backref="children") - search_space = relationship("SearchSpace", back_populates="folders") + workspace = relationship("Workspace", back_populates="folders") created_by = relationship("User", back_populates="folders") documents = relationship("Document", back_populates="folder", passive_deletes=True) @@ -1357,7 +1359,7 @@ class Document(BaseModel, TimestampMixin): # filesystem two files at different paths can hold identical bytes, # and the agent's ``write_file`` flow needs that semantic to support # copy / duplicate operations. Path uniqueness lives on - # ``unique_identifier_hash`` (per search space). The hash remains + # ``unique_identifier_hash`` (per workspace). The hash remains # indexed because connector indexers consult it as a change-detection # / cross-source dedup hint via :func:`check_duplicate_document`. # See migration 133. @@ -1382,8 +1384,10 @@ class Document(BaseModel, TimestampMixin): # Track when document was last updated by indexers, processors, or editor updated_at = Column(TIMESTAMP(timezone=True), nullable=True, index=True) - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) folder_id = Column( @@ -1421,7 +1425,7 @@ class Document(BaseModel, TimestampMixin): ) # Relationships - search_space = relationship("SearchSpace", back_populates="documents") + workspace = relationship("Workspace", back_populates="documents") folder = relationship("Folder", back_populates="documents") created_by = relationship("User", back_populates="documents") connector = relationship("SearchSourceConnector", back_populates="documents") @@ -1506,10 +1510,12 @@ class VideoPresentation(BaseModel, TimestampMixin): index=True, ) - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) - search_space = relationship("SearchSpace", back_populates="video_presentations") + workspace = relationship("Workspace", back_populates="video_presentations") thread_id = Column( Integer, @@ -1533,10 +1539,12 @@ class Report(BaseModel, TimestampMixin): String(100), nullable=True ) # e.g. "executive_summary", "deep_research" - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) - search_space = relationship("SearchSpace", back_populates="reports") + workspace = relationship("Workspace", back_populates="reports") # Versioning: reports sharing the same report_group_id are versions of the same report. # For v1, report_group_id = the report's own id (set after insert). @@ -1561,14 +1569,16 @@ class Connection(BaseModel, TimestampMixin): scope = Column(SQLAlchemyEnum(ConnectionScope), nullable=False, index=True) enabled = Column(Boolean, nullable=False, default=True, server_default="true") - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=True + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=True, ) user_id = Column( UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=True ) - search_space = relationship("SearchSpace", back_populates="connections") + workspace = relationship("Workspace", back_populates="connections") user = relationship("User", back_populates="connections") models = relationship( "Model", @@ -1580,8 +1590,8 @@ class Connection(BaseModel, TimestampMixin): __table_args__ = ( CheckConstraint( - "(scope = 'GLOBAL' AND search_space_id IS NULL AND user_id IS NULL) OR " - "(scope = 'SEARCH_SPACE' AND search_space_id IS NOT NULL AND user_id IS NOT NULL) OR " + "(scope = 'GLOBAL' AND workspace_id IS NULL AND user_id IS NULL) OR " + "(scope = 'SEARCH_SPACE' AND workspace_id IS NOT NULL AND user_id IS NOT NULL) OR " "(scope = 'USER' AND user_id IS NOT NULL)", name="ck_connections_scope_owner", ), @@ -1672,8 +1682,10 @@ class ImageGeneration(BaseModel, TimestampMixin): access_token = Column(String(64), nullable=True, index=True) # Foreign keys - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) created_by_id = Column( UUID(as_uuid=True), @@ -1683,12 +1695,12 @@ class ImageGeneration(BaseModel, TimestampMixin): ) # Relationships - search_space = relationship("SearchSpace", back_populates="image_generations") + workspace = relationship("Workspace", back_populates="image_generations") created_by = relationship("User", back_populates="image_generations") -class SearchSpace(BaseModel, TimestampMixin): - __tablename__ = "searchspaces" +class Workspace(BaseModel, TimestampMixin): + __tablename__ = "workspaces" name = Column(String(100), nullable=False, index=True) description = Column(String(500), nullable=True) @@ -1709,7 +1721,7 @@ class SearchSpace(BaseModel, TimestampMixin): # Note: ID values preserve the existing convention: # - 0: Auto mode # - Negative IDs: Global virtual models from global_llm_config.yaml - # - Positive IDs: User/search-space models from the models table + # - Positive IDs: User/workspace models from the models table chat_model_id = Column( Integer, nullable=True, default=0, server_default="0" ) # For agent/chat operations, defaults to Auto mode @@ -1720,78 +1732,74 @@ class SearchSpace(BaseModel, TimestampMixin): Integer, nullable=True, default=0, server_default="0" ) # For vision/screenshot analysis, defaults to Auto mode - ai_file_sort_enabled = Column( - Boolean, nullable=False, default=False, server_default="false" - ) - user_id = Column( UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=False ) - user = relationship("User", back_populates="search_spaces") + user = relationship("User", back_populates="workspaces") folders = relationship( "Folder", - back_populates="search_space", + back_populates="workspace", order_by="Folder.position", cascade="all, delete-orphan", ) documents = relationship( "Document", - back_populates="search_space", + back_populates="workspace", order_by="Document.id", cascade="all, delete-orphan", ) new_chat_threads = relationship( "NewChatThread", - back_populates="search_space", + back_populates="workspace", order_by="NewChatThread.updated_at.desc()", cascade="all, delete-orphan", ) podcasts = relationship( "Podcast", - back_populates="search_space", + back_populates="workspace", order_by="Podcast.id.desc()", cascade="all, delete-orphan", ) video_presentations = relationship( "VideoPresentation", - back_populates="search_space", + back_populates="workspace", order_by="VideoPresentation.id.desc()", cascade="all, delete-orphan", ) reports = relationship( "Report", - back_populates="search_space", + back_populates="workspace", order_by="Report.id.desc()", cascade="all, delete-orphan", ) image_generations = relationship( "ImageGeneration", - back_populates="search_space", + back_populates="workspace", order_by="ImageGeneration.id.desc()", cascade="all, delete-orphan", ) logs = relationship( "Log", - back_populates="search_space", + back_populates="workspace", order_by="Log.id", cascade="all, delete-orphan", ) notifications = relationship( "Notification", - back_populates="search_space", + back_populates="workspace", order_by="Notification.created_at.desc()", cascade="all, delete-orphan", ) search_source_connectors = relationship( "SearchSourceConnector", - back_populates="search_space", + back_populates="workspace", order_by="SearchSourceConnector.id", cascade="all, delete-orphan", ) connections = relationship( "Connection", - back_populates="search_space", + back_populates="workspace", order_by="Connection.id", cascade="all, delete-orphan", passive_deletes=True, @@ -1799,7 +1807,7 @@ class SearchSpace(BaseModel, TimestampMixin): automations = relationship( "Automation", - back_populates="search_space", + back_populates="workspace", order_by="Automation.id", cascade="all, delete-orphan", passive_deletes=True, @@ -1807,21 +1815,21 @@ class SearchSpace(BaseModel, TimestampMixin): # RBAC relationships roles = relationship( - "SearchSpaceRole", - back_populates="search_space", - order_by="SearchSpaceRole.id", + "WorkspaceRole", + back_populates="workspace", + order_by="WorkspaceRole.id", cascade="all, delete-orphan", ) memberships = relationship( - "SearchSpaceMembership", - back_populates="search_space", - order_by="SearchSpaceMembership.id", + "WorkspaceMembership", + back_populates="workspace", + order_by="WorkspaceMembership.id", cascade="all, delete-orphan", ) invites = relationship( - "SearchSpaceInvite", - back_populates="search_space", - order_by="SearchSpaceInvite.id", + "WorkspaceInvite", + back_populates="workspace", + order_by="WorkspaceInvite.id", cascade="all, delete-orphan", ) @@ -1830,11 +1838,11 @@ class SearchSourceConnector(BaseModel, TimestampMixin): __tablename__ = "search_source_connectors" __table_args__ = ( UniqueConstraint( - "search_space_id", + "workspace_id", "user_id", "connector_type", "name", - name="uq_searchspace_user_connector_type_name", + name="uq_workspace_user_connector_type_name", ), # Mirrors migration 129; backs the ``/obsidian/connect`` upsert. Index( @@ -1881,12 +1889,12 @@ class SearchSourceConnector(BaseModel, TimestampMixin): indexing_frequency_minutes = Column(Integer, nullable=True) next_scheduled_at = Column(TIMESTAMP(timezone=True), nullable=True) - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False - ) - search_space = relationship( - "SearchSpace", back_populates="search_source_connectors" + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) + workspace = relationship("Workspace", back_populates="search_source_connectors") user_id = Column( UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=False @@ -1908,10 +1916,12 @@ class Log(BaseModel, TimestampMixin): ) # Service/component that generated the log log_metadata = Column(JSON, nullable=True, default={}) # Additional context data - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) - search_space = relationship("SearchSpace", back_populates="logs") + workspace = relationship("Workspace", back_populates="logs") class UserIncentiveTask(BaseModel, TimestampMixin): @@ -2024,18 +2034,18 @@ class CreditPurchase(Base, TimestampMixin): user = relationship("User", back_populates="credit_purchases") -class SearchSpaceRole(BaseModel, TimestampMixin): +class WorkspaceRole(BaseModel, TimestampMixin): """ - Custom roles that can be defined per search space. - Each search space can have multiple roles with different permission sets. + Custom roles that can be defined per workspace. + Each workspace can have multiple roles with different permission sets. """ - __tablename__ = "search_space_roles" + __tablename__ = "workspace_roles" __table_args__ = ( UniqueConstraint( - "search_space_id", + "workspace_id", "name", - name="uq_searchspace_role_name", + name="uq_workspace_role_name", ), ) @@ -2048,46 +2058,50 @@ class SearchSpaceRole(BaseModel, TimestampMixin): # System roles (Owner, Editor, Viewer) cannot be deleted is_system_role = Column(Boolean, nullable=False, default=False) - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) - search_space = relationship("SearchSpace", back_populates="roles") + workspace = relationship("Workspace", back_populates="roles") memberships = relationship( - "SearchSpaceMembership", back_populates="role", passive_deletes=True + "WorkspaceMembership", back_populates="role", passive_deletes=True ) invites = relationship( - "SearchSpaceInvite", back_populates="role", passive_deletes=True + "WorkspaceInvite", back_populates="role", passive_deletes=True ) -class SearchSpaceMembership(BaseModel, TimestampMixin): +class WorkspaceMembership(BaseModel, TimestampMixin): """ - Tracks user membership in search spaces with their assigned role. - Each user can be a member of multiple search spaces with different roles. + Tracks user membership in workspaces with their assigned role. + Each user can be a member of multiple workspaces with different roles. """ - __tablename__ = "search_space_memberships" + __tablename__ = "workspace_memberships" __table_args__ = ( UniqueConstraint( "user_id", - "search_space_id", - name="uq_user_searchspace_membership", + "workspace_id", + name="uq_user_workspace_membership", ), ) user_id = Column( UUID(as_uuid=True), ForeignKey("user.id", ondelete="CASCADE"), nullable=False ) - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) role_id = Column( Integer, - ForeignKey("search_space_roles.id", ondelete="SET NULL"), + ForeignKey("workspace_roles.id", ondelete="SET NULL"), nullable=True, ) - # Indicates if this user is the original creator/owner of the search space + # Indicates if this user is the original creator/owner of the workspace is_owner = Column(Boolean, nullable=False, default=False) # Timestamp when the user joined (via invite or as creator) joined_at = Column( @@ -2098,36 +2112,38 @@ class SearchSpaceMembership(BaseModel, TimestampMixin): # Reference to the invite used to join (null if owner/creator) invited_by_invite_id = Column( Integer, - ForeignKey("search_space_invites.id", ondelete="SET NULL"), + ForeignKey("workspace_invites.id", ondelete="SET NULL"), nullable=True, ) - user = relationship("User", back_populates="search_space_memberships") - search_space = relationship("SearchSpace", back_populates="memberships") - role = relationship("SearchSpaceRole", back_populates="memberships") + user = relationship("User", back_populates="workspace_memberships") + workspace = relationship("Workspace", back_populates="memberships") + role = relationship("WorkspaceRole", back_populates="memberships") invited_by_invite = relationship( - "SearchSpaceInvite", back_populates="used_by_memberships" + "WorkspaceInvite", back_populates="used_by_memberships" ) -class SearchSpaceInvite(BaseModel, TimestampMixin): +class WorkspaceInvite(BaseModel, TimestampMixin): """ - Invite links for search spaces. + Invite links for workspaces. Users can create invite links with specific roles that others can use to join. """ - __tablename__ = "search_space_invites" + __tablename__ = "workspace_invites" # Unique invite code (used in invite URLs) invite_code = Column(String(64), nullable=False, unique=True, index=True) - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) # Role to assign when invite is used (null means use default role) role_id = Column( Integer, - ForeignKey("search_space_roles.id", ondelete="SET NULL"), + ForeignKey("workspace_roles.id", ondelete="SET NULL"), nullable=True, ) # User who created this invite @@ -2148,11 +2164,11 @@ class SearchSpaceInvite(BaseModel, TimestampMixin): # Optional custom name/label for the invite name = Column(String(100), nullable=True) - search_space = relationship("SearchSpace", back_populates="invites") - role = relationship("SearchSpaceRole", back_populates="invites") + workspace = relationship("Workspace", back_populates="invites") + role = relationship("WorkspaceRole", back_populates="invites") created_by = relationship("User", back_populates="created_invites") used_by_memberships = relationship( - "SearchSpaceMembership", + "WorkspaceMembership", back_populates="invited_by_invite", passive_deletes=True, ) @@ -2179,9 +2195,9 @@ class Prompt(BaseModel, TimestampMixin): nullable=False, index=True, ) - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=True, index=True, ) @@ -2196,7 +2212,7 @@ class Prompt(BaseModel, TimestampMixin): is_public = Column(Boolean, nullable=False, default=False) user = relationship("User") - search_space = relationship("SearchSpace") + workspace = relationship("Workspace") if config.AUTH_TYPE == "GOOGLE": @@ -2208,7 +2224,7 @@ if config.AUTH_TYPE == "GOOGLE": oauth_accounts: Mapped[list[OAuthAccount]] = relationship( "OAuthAccount", lazy="joined" ) - search_spaces = relationship("SearchSpace", back_populates="user") + workspaces = relationship("Workspace", back_populates="user") notifications = relationship( "Notification", back_populates="user", @@ -2217,13 +2233,13 @@ if config.AUTH_TYPE == "GOOGLE": ) # RBAC relationships - search_space_memberships = relationship( - "SearchSpaceMembership", + workspace_memberships = relationship( + "WorkspaceMembership", back_populates="user", cascade="all, delete-orphan", ) created_invites = relationship( - "SearchSpaceInvite", + "WorkspaceInvite", back_populates="created_by", passive_deletes=True, ) @@ -2345,7 +2361,7 @@ if config.AUTH_TYPE == "GOOGLE": else: class User(SQLAlchemyBaseUserTableUUID, Base): - search_spaces = relationship("SearchSpace", back_populates="user") + workspaces = relationship("Workspace", back_populates="user") notifications = relationship( "Notification", back_populates="user", @@ -2354,13 +2370,13 @@ else: ) # RBAC relationships - search_space_memberships = relationship( - "SearchSpaceMembership", + workspace_memberships = relationship( + "WorkspaceMembership", back_populates="user", cascade="all, delete-orphan", ) created_invites = relationship( - "SearchSpaceInvite", + "WorkspaceInvite", back_populates="created_by", passive_deletes=True, ) @@ -2508,9 +2524,9 @@ class AgentActionLog(BaseModel): nullable=True, index=True, ) - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False, index=True, ) @@ -2579,9 +2595,9 @@ class DocumentRevision(BaseModel): nullable=True, index=True, ) - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False, index=True, ) @@ -2620,9 +2636,9 @@ class FolderRevision(BaseModel): nullable=True, index=True, ) - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False, index=True, ) @@ -2648,7 +2664,7 @@ class FolderRevision(BaseModel): class AgentPermissionRule(BaseModel): """Persistent permission rule consumed by :class:`PermissionMiddleware`. - Scoped at one of: search-space-wide (``user_id`` and ``thread_id`` NULL), + Scoped at one of: workspace-wide (``user_id`` and ``thread_id`` NULL), user-wide (``user_id`` set, ``thread_id`` NULL), or per-thread (``thread_id`` set). Loaded at agent build time and converted to :class:`Rule` instances inside the agent factory. @@ -2656,9 +2672,9 @@ class AgentPermissionRule(BaseModel): __tablename__ = "agent_permission_rules" - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False, index=True, ) @@ -2687,7 +2703,7 @@ class AgentPermissionRule(BaseModel): __table_args__ = ( UniqueConstraint( - "search_space_id", + "workspace_id", "user_id", "thread_id", "permission", @@ -2759,6 +2775,82 @@ class PersonalAccessToken(BaseModel, TimestampMixin): return not self.is_expired +class Run(Base, TimestampMixin): + """One row per scraper-capability invocation, from either the agent door + or the REST/API-key door. + + Backs the user-facing Scraper-API logs and the agent's tool-boundary + truncation: the full output lives here while the model sees only a capped + preview plus this row's id. ``output_text`` is stored as JSONL (one item + per line, ``exclude_none``) so ``read_run``/``search_run`` can page and grep + by line without parsing the whole payload. Retained ~30 days via opportunistic + bounded cleanup on insert. + + ``cost_micros`` ships nullable and unpopulated in this pass; the planned + per-verb pricing rework will fill it. ``thread_id`` is a free-form string + (subagent ids look like ``"2099::task:call_x"``), so it is intentionally not + a foreign key. + """ + + __tablename__ = "runs" + __allow_unmapped__ = True + + __table_args__ = (Index("ix_runs_workspace_created", "workspace_id", "created_at"),) + + id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4) + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, + index=True, + ) + user_id = Column( + UUID(as_uuid=True), + ForeignKey("user.id", ondelete="CASCADE"), + nullable=True, + index=True, + ) + thread_id = Column(String(255), nullable=True) + capability = Column(String(100), nullable=False, index=True) + origin = Column(String(16), nullable=False) + status = Column(String(16), nullable=False) + error = Column(Text, nullable=True) + input = Column(JSONB, nullable=True) + output_text = Column(Text, nullable=True) + item_count = Column(Integer, nullable=False, default=0) + char_count = Column(Integer, nullable=False, default=0) + duration_ms = Column(Integer, nullable=True) + cost_micros = Column(BigInteger, nullable=True) + # Coarse progress log (list of throttled events) captured during the run; + # the live fine-grained stream is ephemeral (bus/SSE only). + progress = Column(JSONB, nullable=True) + + +class ToolOutputSpill(Base, TimestampMixin): + """Internal scratch store for main-agent context-editing spills. + + Kept separate from ``runs`` so customer-facing scraper logs stay clean. + The full ``ToolMessage`` content that context editing evicts is written here + and the message body is replaced with a ``spill_{id}`` placeholder the agent + can read back via ``read_run``/``search_run``. Retained ~7 days. + """ + + __tablename__ = "tool_output_spills" + __allow_unmapped__ = True + + id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4) + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=True, + index=True, + ) + thread_id = Column(String(255), nullable=True) + tool_name = Column(String(255), nullable=True) + content = Column(Text, nullable=False) + char_count = Column(Integer, nullable=False, default=0) + + # Register model packages that live outside this file so their classes # are present in Base.metadata before configure_mappers() resolves any # string-based relationship() references. @@ -2865,15 +2957,15 @@ _INDEX_DEFINITIONS: list[tuple[str, str, str]] = [ "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_documents_title_trgm ON documents USING gin (title gin_trgm_ops)", ), ( - "idx_documents_search_space_id", + "idx_documents_workspace_id", "documents", - "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_documents_search_space_id ON documents (search_space_id)", + "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_documents_workspace_id ON documents (workspace_id)", ), # Covering index for "recent documents" query — enables index-only scan. ( - "idx_documents_search_space_updated", + "idx_documents_workspace_updated", "documents", - "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_documents_search_space_updated ON documents (search_space_id, updated_at DESC NULLS LAST) INCLUDE (id, title, document_type)", + "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_documents_workspace_updated ON documents (workspace_id, updated_at DESC NULLS LAST) INCLUDE (id, title, document_type)", ), ] @@ -2946,6 +3038,11 @@ async def create_db_and_tables(): await conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector")) await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm")) await conn.run_sync(Base.metadata.create_all) + # create_all never creates zero_publication (a migration-only + # artifact), and without it zero-cache crash-loops. Idempotent. + from app.zero_publication import ensure_publication + + await conn.run_sync(ensure_publication) await setup_indexes() @@ -3034,10 +3131,10 @@ def has_all_permissions( def get_default_roles_config() -> list[dict]: """ Get the configuration for default system roles. - These roles are created automatically when a search space is created. + These roles are created automatically when a workspace is created. Only 3 roles are supported: - - Owner: Full access to everything (assigned to search space creator) + - Owner: Full access to everything (assigned to workspace creator) - Editor: Can create/update content but cannot delete, manage roles, or change settings - Viewer: Read-only access to resources (can add comments) @@ -3047,7 +3144,7 @@ def get_default_roles_config() -> list[dict]: return [ { "name": "Owner", - "description": "Full access to all search space resources and settings", + "description": "Full access to all workspace resources and settings", "permissions": DEFAULT_ROLE_PERMISSIONS["Owner"], "is_default": False, "is_system_role": True, @@ -3061,7 +3158,7 @@ def get_default_roles_config() -> list[dict]: }, { "name": "Viewer", - "description": "Read-only access to search space resources", + "description": "Read-only access to workspace resources", "permissions": DEFAULT_ROLE_PERMISSIONS["Viewer"], "is_default": False, "is_system_role": True, diff --git a/surfsense_backend/app/event_bus/__init__.py b/surfsense_backend/app/event_bus/__init__.py index da5735fe6..8cee59125 100644 --- a/surfsense_backend/app/event_bus/__init__.py +++ b/surfsense_backend/app/event_bus/__init__.py @@ -4,7 +4,7 @@ Domain-agnostic pub/sub. Producers ``await bus.publish(...)``; subscribers ``bus.subscribe(...)``. Domain modules depend on it, never the reverse. from app.event_bus import bus - await bus.publish("document.indexed", {"document_id": 42}, search_space_id=7) + await bus.publish("document.indexed", {"document_id": 42}, workspace_id=7) """ from __future__ import annotations diff --git a/surfsense_backend/app/event_bus/bus.py b/surfsense_backend/app/event_bus/bus.py index 38c93ba7c..7d89e9d4c 100644 --- a/surfsense_backend/app/event_bus/bus.py +++ b/surfsense_backend/app/event_bus/bus.py @@ -40,13 +40,13 @@ class EventBus: event_type: str, payload: dict[str, Any] | None = None, *, - search_space_id: int, + workspace_id: int, ) -> None: """Stamp an :class:`Event` and fan it out. Call after your commit.""" event = Event( event_type=event_type, payload=payload or {}, - search_space_id=search_space_id, + workspace_id=workspace_id, ) await self.dispatch(event) diff --git a/surfsense_backend/app/event_bus/event.py b/surfsense_backend/app/event_bus/event.py index 5dc3f7081..4bc346d09 100644 --- a/surfsense_backend/app/event_bus/event.py +++ b/surfsense_backend/app/event_bus/event.py @@ -25,7 +25,7 @@ class Event(BaseModel): """A published domain fact. ``event_type`` is a dotted namespace (``document.indexed``, etc). ``payload`` is - JSON-serializable. ``search_space_id`` scopes delivery. ``event_id`` and + JSON-serializable. ``workspace_id`` scopes delivery. ``event_id`` and ``occurred_at`` are engine-stamped. """ @@ -33,6 +33,6 @@ class Event(BaseModel): event_type: str payload: dict[str, Any] = Field(default_factory=dict) - search_space_id: int + workspace_id: int event_id: str = Field(default_factory=_new_event_id) occurred_at: datetime = Field(default_factory=_now) diff --git a/surfsense_backend/app/event_bus/events/document_entered_folder.py b/surfsense_backend/app/event_bus/events/document_entered_folder.py index fc4e2de14..d6510eb84 100644 --- a/surfsense_backend/app/event_bus/events/document_entered_folder.py +++ b/surfsense_backend/app/event_bus/events/document_entered_folder.py @@ -1,6 +1,6 @@ """``document.entered_folder``: a document became a member of a folder. -Fires once per arrival, however the document got there (upload, AI sort, move). +Fires once per arrival, however the document got there (upload or move). The payload carries the fields a user can filter a trigger on. """ @@ -48,7 +48,7 @@ catalog.register( def payload_if_entered_folder( *, document_id: int, - search_space_id: int, + workspace_id: int, new_folder_id: int | None, previous_folder_id: int | None, folder_id_changed: bool, @@ -73,7 +73,7 @@ def payload_if_entered_folder( return { "event_type": EVENT_TYPE, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "payload": { "document_id": document_id, "folder_id": new_folder_id, diff --git a/surfsense_backend/app/file_storage/api.py b/surfsense_backend/app/file_storage/api.py index 80417baaf..50a931d7e 100644 --- a/surfsense_backend/app/file_storage/api.py +++ b/surfsense_backend/app/file_storage/api.py @@ -37,9 +37,9 @@ async def _load_readable_document( await check_permission( session, auth, - document.search_space_id, + document.workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) return document diff --git a/surfsense_backend/app/file_storage/keys.py b/surfsense_backend/app/file_storage/keys.py index 22eaa9473..8438cf42e 100644 --- a/surfsense_backend/app/file_storage/keys.py +++ b/surfsense_backend/app/file_storage/keys.py @@ -10,18 +10,18 @@ from app.file_storage.persistence.enums import DocumentFileKind def build_document_file_key( *, - search_space_id: int, + workspace_id: int, document_id: int, kind: DocumentFileKind, filename: str, ) -> str: """Build the storage key for one document file. - Shape: ``documents/{search_space_id}/{document_id}/{kind}/{uuid}{ext}``. + Shape: ``documents/{workspace_id}/{document_id}/{kind}/{uuid}{ext}``. """ extension = os.path.splitext(filename)[1].lower() unique = uuid.uuid4().hex return ( - f"documents/{search_space_id}/{document_id}/" + f"documents/{workspace_id}/{document_id}/" f"{kind.value.lower()}/{unique}{extension}" ) diff --git a/surfsense_backend/app/file_storage/persistence/models.py b/surfsense_backend/app/file_storage/persistence/models.py index 7433f35ed..e16774f12 100644 --- a/surfsense_backend/app/file_storage/persistence/models.py +++ b/surfsense_backend/app/file_storage/persistence/models.py @@ -29,9 +29,9 @@ class DocumentFile(BaseModel, TimestampMixin): nullable=False, index=True, ) - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=False, index=True, ) diff --git a/surfsense_backend/app/file_storage/service.py b/surfsense_backend/app/file_storage/service.py index bdadcfca3..472bef89f 100644 --- a/surfsense_backend/app/file_storage/service.py +++ b/surfsense_backend/app/file_storage/service.py @@ -27,7 +27,7 @@ async def store_document_file( session: AsyncSession, *, document_id: int, - search_space_id: int, + workspace_id: int, data: bytes, filename: str, mime_type: str | None = None, @@ -38,7 +38,7 @@ async def store_document_file( """Write bytes to storage and add a ``DocumentFile`` row to the session.""" backend = backend or get_storage_backend() key = build_document_file_key( - search_space_id=search_space_id, + workspace_id=workspace_id, document_id=document_id, kind=kind, filename=filename, @@ -47,7 +47,7 @@ async def store_document_file( record = DocumentFile( document_id=document_id, - search_space_id=search_space_id, + workspace_id=workspace_id, kind=kind, storage_backend=backend.backend_name, storage_key=key, diff --git a/surfsense_backend/app/gateway/agent_invoke.py b/surfsense_backend/app/gateway/agent_invoke.py index e03ea8c8b..8a402a665 100644 --- a/surfsense_backend/app/gateway/agent_invoke.py +++ b/surfsense_backend/app/gateway/agent_invoke.py @@ -75,7 +75,7 @@ async def call_agent_for_gateway( try: stream = stream_new_chat( user_query=user_text, - search_space_id=binding.search_space_id, + workspace_id=binding.workspace_id, chat_id=thread.id, user_id=str(user.id), needs_history_bootstrap=thread.needs_history_bootstrap, diff --git a/surfsense_backend/app/gateway/auth_invariant.py b/surfsense_backend/app/gateway/auth_invariant.py index 008250957..72c7ddf61 100644 --- a/surfsense_backend/app/gateway/auth_invariant.py +++ b/surfsense_backend/app/gateway/auth_invariant.py @@ -9,7 +9,7 @@ from app.auth.context import AuthContext from app.db import ExternalChatBinding, Permission, User from app.gateway.bindings import suspend_binding from app.observability.metrics import record_gateway_auth_invariant_failure -from app.utils.rbac import check_permission, check_search_space_access +from app.utils.rbac import check_permission, check_workspace_access class GatewaySuspendedError(RuntimeError): @@ -43,13 +43,13 @@ async def assert_authorization_invariant( auth = AuthContext.system(user, source="gateway") try: - await check_search_space_access(session, auth, binding.search_space_id) + await check_workspace_access(session, auth, binding.workspace_id) await check_permission( session, auth, - binding.search_space_id, + binding.workspace_id, Permission.CHATS_CREATE.value, - "External chat owner no longer has permission to chat in this search space", + "External chat owner no longer has permission to chat in this workspace", ) except HTTPException as exc: await _fail(session, binding, f"rbac_{exc.status_code}") diff --git a/surfsense_backend/app/gateway/bindings.py b/surfsense_backend/app/gateway/bindings.py index 821dd21ca..8feefd510 100644 --- a/surfsense_backend/app/gateway/bindings.py +++ b/surfsense_backend/app/gateway/bindings.py @@ -34,7 +34,7 @@ async def get_or_create_thread_for_binding( thread = NewChatThread( title=f"{source.title()} chat", - search_space_id=binding.search_space_id, + workspace_id=binding.workspace_id, created_by_id=binding.user_id, visibility=ChatVisibility.PRIVATE, source=source, diff --git a/surfsense_backend/app/gateway/inbox_processor.py b/surfsense_backend/app/gateway/inbox_processor.py index 7343b3a03..34c35f9d6 100644 --- a/surfsense_backend/app/gateway/inbox_processor.py +++ b/surfsense_backend/app/gateway/inbox_processor.py @@ -210,7 +210,7 @@ async def _resolve_slack_thread_binding( thread_binding = ExternalChatBinding( account_id=account.id, user_id=user_binding.user_id, - search_space_id=user_binding.search_space_id, + workspace_id=user_binding.workspace_id, state=ExternalChatBindingState.BOUND, external_peer_id=thread_peer_id, external_peer_kind=ExternalChatPeerKind.CHANNEL, @@ -272,7 +272,7 @@ async def _resolve_discord_thread_binding( thread_binding = ExternalChatBinding( account_id=account.id, user_id=user_binding.user_id, - search_space_id=user_binding.search_space_id, + workspace_id=user_binding.workspace_id, state=ExternalChatBindingState.BOUND, external_peer_id=thread_peer_id, external_peer_kind=ExternalChatPeerKind.CHANNEL, @@ -366,12 +366,12 @@ async def _dispatch_inbound_event( if ( bundle.auto_bind_owner and account.owner_user_id - and account.owner_search_space_id + and account.owner_workspace_id ): binding = ExternalChatBinding( account_id=account.id, user_id=account.owner_user_id, - search_space_id=account.owner_search_space_id, + workspace_id=account.owner_workspace_id, state=ExternalChatBindingState.BOUND, external_peer_id=parsed.external_peer_id, external_peer_kind=parsed.external_peer_kind, diff --git a/surfsense_backend/app/indexing_pipeline/adapters/file_upload_adapter.py b/surfsense_backend/app/indexing_pipeline/adapters/file_upload_adapter.py index 9a9e4e4d6..27378324b 100644 --- a/surfsense_backend/app/indexing_pipeline/adapters/file_upload_adapter.py +++ b/surfsense_backend/app/indexing_pipeline/adapters/file_upload_adapter.py @@ -16,7 +16,7 @@ class UploadDocumentAdapter: markdown_content: str, filename: str, etl_service: str, - search_space_id: int, + workspace_id: int, user_id: str, ) -> None: connector_doc = ConnectorDocument( @@ -24,7 +24,7 @@ class UploadDocumentAdapter: source_markdown=markdown_content, unique_id=filename, document_type=DocumentType.FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user_id, connector_id=None, should_use_code_chunker=False, @@ -59,7 +59,7 @@ class UploadDocumentAdapter: source_markdown=document.source_markdown, unique_id=document.title, document_type=document.document_type, - search_space_id=document.search_space_id, + workspace_id=document.workspace_id, created_by_id=str(document.created_by_id), connector_id=document.connector_id, should_use_code_chunker=False, diff --git a/surfsense_backend/app/indexing_pipeline/connector_document.py b/surfsense_backend/app/indexing_pipeline/connector_document.py index 1297a6b46..08b1d254d 100644 --- a/surfsense_backend/app/indexing_pipeline/connector_document.py +++ b/surfsense_backend/app/indexing_pipeline/connector_document.py @@ -10,7 +10,7 @@ class ConnectorDocument(BaseModel): source_markdown: str unique_id: str document_type: DocumentType - search_space_id: int = Field(gt=0) + workspace_id: int = Field(gt=0) should_use_code_chunker: bool = False metadata: dict = {} connector_id: int | None = None diff --git a/surfsense_backend/app/indexing_pipeline/document_hashing.py b/surfsense_backend/app/indexing_pipeline/document_hashing.py index a0716f401..2f9485107 100644 --- a/surfsense_backend/app/indexing_pipeline/document_hashing.py +++ b/surfsense_backend/app/indexing_pipeline/document_hashing.py @@ -4,21 +4,21 @@ from app.indexing_pipeline.connector_document import ConnectorDocument def compute_identifier_hash( - document_type_value: str, unique_id: str, search_space_id: int + document_type_value: str, unique_id: str, workspace_id: int ) -> str: """Return a stable SHA-256 hash from raw identity components.""" - combined = f"{document_type_value}:{unique_id}:{search_space_id}" + combined = f"{document_type_value}:{unique_id}:{workspace_id}" return hashlib.sha256(combined.encode("utf-8")).hexdigest() def compute_unique_identifier_hash(doc: ConnectorDocument) -> str: """Return a stable SHA-256 hash identifying a document by its source identity.""" return compute_identifier_hash( - doc.document_type.value, doc.unique_id, doc.search_space_id + doc.document_type.value, doc.unique_id, doc.workspace_id ) def compute_content_hash(doc: ConnectorDocument) -> str: - """Return a SHA-256 hash of the document's content scoped to its search space.""" - combined = f"{doc.search_space_id}:{doc.source_markdown}" + """Return a SHA-256 hash of the document's content scoped to its workspace.""" + combined = f"{doc.workspace_id}:{doc.source_markdown}" return hashlib.sha256(combined.encode("utf-8")).hexdigest() diff --git a/surfsense_backend/app/indexing_pipeline/indexing_pipeline_service.py b/surfsense_backend/app/indexing_pipeline/indexing_pipeline_service.py index 30ea9d5d6..539072cf0 100644 --- a/surfsense_backend/app/indexing_pipeline/indexing_pipeline_service.py +++ b/surfsense_backend/app/indexing_pipeline/indexing_pipeline_service.py @@ -73,7 +73,7 @@ class PlaceholderInfo: title: str document_type: DocumentType unique_id: str - search_space_id: int + workspace_id: int connector_id: int | None created_by_id: str metadata: dict = field(default_factory=dict) @@ -111,7 +111,7 @@ class IndexingPipelineService: for p in placeholders: try: uid_hash = compute_identifier_hash( - p.document_type.value, p.unique_id, p.search_space_id + p.document_type.value, p.unique_id, p.workspace_id ) uid_hashes.setdefault(uid_hash, p) except Exception: @@ -145,7 +145,7 @@ class IndexingPipelineService: content_hash=content_hash, unique_identifier_hash=uid_hash, document_metadata=p.metadata or {}, - search_space_id=p.search_space_id, + workspace_id=p.workspace_id, connector_id=p.connector_id, created_by_id=p.created_by_id, updated_at=datetime.now(UTC), @@ -186,7 +186,7 @@ class IndexingPipelineService: continue legacy_hash = compute_identifier_hash( - legacy_type, doc.unique_id, doc.search_space_id + legacy_type, doc.unique_id, doc.workspace_id ) result = await self.session.execute( select(Document).filter(Document.unique_identifier_hash == legacy_hash) @@ -196,7 +196,7 @@ class IndexingPipelineService: continue native_hash = compute_identifier_hash( - doc.document_type.value, doc.unique_id, doc.search_space_id + doc.document_type.value, doc.unique_id, doc.workspace_id ) existing.unique_identifier_hash = native_hash existing.document_type = doc.document_type @@ -235,14 +235,14 @@ class IndexingPipelineService: seen_hashes: set[str] = set() batch_ctx = PipelineLogContext( connector_id=connector_docs[0].connector_id if connector_docs else 0, - search_space_id=connector_docs[0].search_space_id if connector_docs else 0, + workspace_id=connector_docs[0].workspace_id if connector_docs else 0, unique_id="batch", ) for connector_doc in connector_docs: ctx = PipelineLogContext( connector_id=connector_doc.connector_id, - search_space_id=connector_doc.search_space_id, + workspace_id=connector_doc.workspace_id, unique_id=connector_doc.unique_id, ) try: @@ -318,7 +318,7 @@ class IndexingPipelineService: unique_identifier_hash=unique_identifier_hash, source_markdown=connector_doc.source_markdown, document_metadata=connector_doc.metadata, - search_space_id=connector_doc.search_space_id, + workspace_id=connector_doc.workspace_id, connector_id=connector_doc.connector_id, created_by_id=connector_doc.created_by_id, updated_at=datetime.now(UTC), @@ -358,7 +358,7 @@ class IndexingPipelineService: """ ctx = PipelineLogContext( connector_id=connector_doc.connector_id, - search_space_id=connector_doc.search_space_id, + workspace_id=connector_doc.workspace_id, unique_id=connector_doc.unique_id, doc_id=document.id, ) @@ -427,8 +427,6 @@ class IndexingPipelineService: log_index_success(ctx, chunk_count=chunk_count) outcome_status = "success" - await self._enqueue_ai_sort_if_enabled(document) - except RETRYABLE_LLM_ERRORS as e: ot.record_error(persist_span, e) log_retryable_llm_error(ctx, e) @@ -564,29 +562,6 @@ class IndexingPipelineService: ) return len(new_texts) - async def _enqueue_ai_sort_if_enabled(self, document: Document) -> None: - """Fire-and-forget: enqueue incremental AI sort if the search space has it enabled.""" - try: - from app.db import SearchSpace - - result = await self.session.execute( - select(SearchSpace.ai_file_sort_enabled).where( - SearchSpace.id == document.search_space_id - ) - ) - enabled = result.scalar() - if not enabled: - return - - from app.tasks.celery_tasks.document_tasks import ai_sort_document_task - - user_id = str(document.created_by_id) if document.created_by_id else "" - ai_sort_document_task.delay(document.search_space_id, user_id, document.id) - except Exception: - logging.getLogger(__name__).warning( - "Failed to enqueue AI sort for document %s", document.id, exc_info=True - ) - async def index_batch_parallel( self, connector_docs: list[ConnectorDocument], diff --git a/surfsense_backend/app/indexing_pipeline/pipeline_logger.py b/surfsense_backend/app/indexing_pipeline/pipeline_logger.py index 281a92c52..1d85dcefc 100644 --- a/surfsense_backend/app/indexing_pipeline/pipeline_logger.py +++ b/surfsense_backend/app/indexing_pipeline/pipeline_logger.py @@ -7,7 +7,7 @@ logger = logging.getLogger(__name__) @dataclass class PipelineLogContext: connector_id: int | None - search_space_id: int + workspace_id: int unique_id: str # always available from ConnectorDocument doc_id: int | None = None # set once the DB row exists (index phase only) @@ -36,7 +36,7 @@ class LogMessages: def _format_context(ctx: PipelineLogContext) -> str: parts = [ f"connector_id={ctx.connector_id}", - f"search_space_id={ctx.search_space_id}", + f"workspace_id={ctx.workspace_id}", f"unique_id={ctx.unique_id}", ] if ctx.doc_id is not None: diff --git a/surfsense_backend/app/notifications/api/api.py b/surfsense_backend/app/notifications/api/api.py index 7794a5867..9bf52fa34 100644 --- a/surfsense_backend/app/notifications/api/api.py +++ b/surfsense_backend/app/notifications/api/api.py @@ -35,7 +35,7 @@ router = APIRouter(prefix="/notifications", tags=["notifications"]) @router.get("/unread-counts-batch", response_model=BatchUnreadCountResponse) async def get_unread_counts_batch( - search_space_id: int | None = Query(None, description="Filter by search space ID"), + workspace_id: int | None = Query(None, description="Filter by workspace ID"), auth: AuthContext = Depends(require_session_context), session: AsyncSession = Depends(get_async_session), ) -> BatchUnreadCountResponse: @@ -48,11 +48,11 @@ async def get_unread_counts_batch( Notification.read == False, # noqa: E712 ] - if search_space_id is not None: - # Include global (null search-space) notifications. + if workspace_id is not None: + # Include global (null workspace) notifications. base_filter.append( - (Notification.search_space_id == search_space_id) - | (Notification.search_space_id.is_(None)) + (Notification.workspace_id == workspace_id) + | (Notification.workspace_id.is_(None)) ) is_comments = Notification.type.in_(CATEGORY_TYPES["comments"]) @@ -87,7 +87,7 @@ async def get_unread_counts_batch( @router.get("/source-types", response_model=SourceTypesResponse) async def get_notification_source_types( - search_space_id: int | None = Query(None, description="Filter by search space ID"), + workspace_id: int | None = Query(None, description="Filter by workspace ID"), auth: AuthContext = Depends(require_session_context), session: AsyncSession = Depends(get_async_session), ) -> SourceTypesResponse: @@ -95,11 +95,11 @@ async def get_notification_source_types( user = auth.user base_filter = [Notification.user_id == user.id] - if search_space_id is not None: - # Include global (null search-space) notifications. + if workspace_id is not None: + # Include global (null workspace) notifications. base_filter.append( - (Notification.search_space_id == search_space_id) - | (Notification.search_space_id.is_(None)) + (Notification.workspace_id == workspace_id) + | (Notification.workspace_id.is_(None)) ) connector_type_expr = Notification.notification_metadata["connector_type"].astext @@ -156,7 +156,7 @@ async def get_notification_source_types( @router.get("/unread-count", response_model=UnreadCountResponse) async def get_unread_count( - search_space_id: int | None = Query(None, description="Filter by search space ID"), + workspace_id: int | None = Query(None, description="Filter by workspace ID"), type_filter: NotificationType | None = Query( None, alias="type", description="Filter by notification type" ), @@ -179,11 +179,11 @@ async def get_unread_count( Notification.read == False, # noqa: E712 ] - if search_space_id is not None: - # Include global (null search-space) notifications. + if workspace_id is not None: + # Include global (null workspace) notifications. base_filter.append( - (Notification.search_space_id == search_space_id) - | (Notification.search_space_id.is_(None)) + (Notification.workspace_id == workspace_id) + | (Notification.workspace_id.is_(None)) ) if type_filter: @@ -211,7 +211,7 @@ async def get_unread_count( @router.get("", response_model=NotificationListResponse) async def list_notifications( - search_space_id: int | None = Query(None, description="Filter by search space ID"), + workspace_id: int | None = Query(None, description="Filter by workspace ID"), type_filter: NotificationType | None = Query( None, alias="type", description="Filter by notification type" ), @@ -244,15 +244,15 @@ async def list_notifications( Notification.user_id == user.id ) - if search_space_id is not None: - # Include global (null search-space) notifications. + if workspace_id is not None: + # Include global (null workspace) notifications. query = query.where( - (Notification.search_space_id == search_space_id) - | (Notification.search_space_id.is_(None)) + (Notification.workspace_id == workspace_id) + | (Notification.workspace_id.is_(None)) ) count_query = count_query.where( - (Notification.search_space_id == search_space_id) - | (Notification.search_space_id.is_(None)) + (Notification.workspace_id == workspace_id) + | (Notification.workspace_id.is_(None)) ) if type_filter: diff --git a/surfsense_backend/app/notifications/api/schemas.py b/surfsense_backend/app/notifications/api/schemas.py index 727e5485a..3dbb2fb4c 100644 --- a/surfsense_backend/app/notifications/api/schemas.py +++ b/surfsense_backend/app/notifications/api/schemas.py @@ -10,7 +10,7 @@ class NotificationResponse(BaseModel): id: int user_id: str - search_space_id: int | None + workspace_id: int | None type: str title: str message: str diff --git a/surfsense_backend/app/notifications/api/transform.py b/surfsense_backend/app/notifications/api/transform.py index 8970cb0b8..14027a019 100644 --- a/surfsense_backend/app/notifications/api/transform.py +++ b/surfsense_backend/app/notifications/api/transform.py @@ -47,7 +47,7 @@ def to_response(notification: Notification) -> NotificationResponse: return NotificationResponse( id=notification.id, user_id=str(notification.user_id), - search_space_id=notification.search_space_id, + workspace_id=notification.workspace_id, type=notification.type, title=notification.title, message=notification.message, diff --git a/surfsense_backend/app/notifications/persistence/models.py b/surfsense_backend/app/notifications/persistence/models.py index 557c4bf17..ac5028207 100644 --- a/surfsense_backend/app/notifications/persistence/models.py +++ b/surfsense_backend/app/notifications/persistence/models.py @@ -34,9 +34,9 @@ class Notification(BaseModel, TimestampMixin): ), # Serves the paginated inbox list query. Index( - "ix_notifications_user_space_created", + "ix_notifications_user_workspace_created", "user_id", - "search_space_id", + "workspace_id", "created_at", ), ) @@ -47,9 +47,9 @@ class Notification(BaseModel, TimestampMixin): nullable=False, index=True, ) - search_space_id = Column( + workspace_id = Column( Integer, - ForeignKey("searchspaces.id", ondelete="CASCADE"), + ForeignKey("workspaces.id", ondelete="CASCADE"), nullable=True, index=True, ) @@ -69,4 +69,4 @@ class Notification(BaseModel, TimestampMixin): ) user = relationship("User", back_populates="notifications") - search_space = relationship("SearchSpace", back_populates="notifications") + workspace = relationship("Workspace", back_populates="notifications") diff --git a/surfsense_backend/app/notifications/service/base.py b/surfsense_backend/app/notifications/service/base.py index 31b378cda..8b416a380 100644 --- a/surfsense_backend/app/notifications/service/base.py +++ b/surfsense_backend/app/notifications/service/base.py @@ -27,7 +27,7 @@ class BaseNotificationHandler: session: AsyncSession, user_id: UUID, operation_id: str, - search_space_id: int | None = None, + workspace_id: int | None = None, ) -> Notification | None: """Return the notification for ``operation_id``, if one exists.""" query = select(Notification).where( @@ -35,8 +35,8 @@ class BaseNotificationHandler: Notification.type == self.notification_type, Notification.notification_metadata["operation_id"].astext == operation_id, ) - if search_space_id is not None: - query = query.where(Notification.search_space_id == search_space_id) + if workspace_id is not None: + query = query.where(Notification.workspace_id == workspace_id) result = await session.execute(query) return result.scalar_one_or_none() @@ -48,12 +48,12 @@ class BaseNotificationHandler: operation_id: str, title: str, message: str, - search_space_id: int | None = None, + workspace_id: int | None = None, initial_metadata: dict[str, Any] | None = None, ) -> Notification: """Upsert a notification keyed by ``operation_id``.""" notification = await self.find_notification_by_operation( - session, user_id, operation_id, search_space_id + session, user_id, operation_id, workspace_id ) if notification: @@ -77,7 +77,7 @@ class BaseNotificationHandler: notification = Notification( user_id=user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, type=self.notification_type, title=title, message=message, diff --git a/surfsense_backend/app/notifications/service/facade.py b/surfsense_backend/app/notifications/service/facade.py index 9f4ad50d0..29a36f6bf 100644 --- a/surfsense_backend/app/notifications/service/facade.py +++ b/surfsense_backend/app/notifications/service/facade.py @@ -38,13 +38,13 @@ class NotificationService: notification_type: str, title: str, message: str, - search_space_id: int | None = None, + workspace_id: int | None = None, notification_metadata: dict[str, Any] | None = None, ) -> Notification: """Create a generic notification of any ``notification_type``.""" notification = Notification( user_id=user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, type=notification_type, title=title, message=message, diff --git a/surfsense_backend/app/notifications/service/handlers/auto_reload_failed.py b/surfsense_backend/app/notifications/service/handlers/auto_reload_failed.py index 0234a436d..d371a96b9 100644 --- a/surfsense_backend/app/notifications/service/handlers/auto_reload_failed.py +++ b/surfsense_backend/app/notifications/service/handlers/auto_reload_failed.py @@ -30,7 +30,7 @@ class AutoReloadFailedNotificationHandler(BaseNotificationHandler): ) -> Notification: """Notify that an off-session auto-reload charge was declined. - Not tied to a search space (``search_space_id`` is None); the action + Not tied to a workspace (``workspace_id`` is None); the action links to the billing settings so the user can fix their card. """ op_id = msg.operation_id(payment_intent_id or "") @@ -42,7 +42,7 @@ class AutoReloadFailedNotificationHandler(BaseNotificationHandler): operation_id=op_id, title=title, message=message, - search_space_id=None, + workspace_id=None, initial_metadata={ "amount_micros": amount_micros, "payment_intent_id": payment_intent_id, diff --git a/surfsense_backend/app/notifications/service/handlers/comment_reply.py b/surfsense_backend/app/notifications/service/handlers/comment_reply.py index 7d9a9495a..54055bd81 100644 --- a/surfsense_backend/app/notifications/service/handlers/comment_reply.py +++ b/surfsense_backend/app/notifications/service/handlers/comment_reply.py @@ -49,7 +49,7 @@ class CommentReplyNotificationHandler(BaseNotificationHandler): author_avatar_url: str | None, author_email: str, content_preview: str, - search_space_id: int, + workspace_id: int, ) -> Notification: """Notify of a reply; idempotent on ``reply_id`` per user.""" existing = await self.find_notification_by_reply(session, reply_id, user_id) @@ -78,7 +78,7 @@ class CommentReplyNotificationHandler(BaseNotificationHandler): try: notification = Notification( user_id=user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, type=self.notification_type, title=title, message=message, diff --git a/surfsense_backend/app/notifications/service/handlers/connector_indexing.py b/surfsense_backend/app/notifications/service/handlers/connector_indexing.py index 9ebfae2ea..c656d30ec 100644 --- a/surfsense_backend/app/notifications/service/handlers/connector_indexing.py +++ b/surfsense_backend/app/notifications/service/handlers/connector_indexing.py @@ -24,7 +24,7 @@ class ConnectorIndexingNotificationHandler(BaseNotificationHandler): connector_id: int, connector_name: str, connector_type: str, - search_space_id: int, + workspace_id: int, start_date: str | None = None, end_date: str | None = None, ) -> Notification: @@ -49,7 +49,7 @@ class ConnectorIndexingNotificationHandler(BaseNotificationHandler): operation_id=operation_id, title=title, message=message, - search_space_id=search_space_id, + workspace_id=workspace_id, initial_metadata=metadata, ) @@ -144,7 +144,7 @@ class ConnectorIndexingNotificationHandler(BaseNotificationHandler): connector_id: int, connector_name: str, connector_type: str, - search_space_id: int, + workspace_id: int, folder_count: int, file_count: int, folder_names: list[str] | None = None, @@ -178,6 +178,6 @@ class ConnectorIndexingNotificationHandler(BaseNotificationHandler): operation_id=operation_id, title=title, message=message, - search_space_id=search_space_id, + workspace_id=workspace_id, initial_metadata=metadata, ) diff --git a/surfsense_backend/app/notifications/service/handlers/document_processing.py b/surfsense_backend/app/notifications/service/handlers/document_processing.py index 714c4f1aa..5a65324e7 100644 --- a/surfsense_backend/app/notifications/service/handlers/document_processing.py +++ b/surfsense_backend/app/notifications/service/handlers/document_processing.py @@ -23,11 +23,11 @@ class DocumentProcessingNotificationHandler(BaseNotificationHandler): user_id: UUID, document_type: str, document_name: str, - search_space_id: int, + workspace_id: int, file_size: int | None = None, ) -> Notification: """Open the notification when document processing is queued.""" - operation_id = msg.operation_id(document_type, document_name, search_space_id) + operation_id = msg.operation_id(document_type, document_name, workspace_id) title = msg.started_title(document_name) message = "Waiting in queue" @@ -46,7 +46,7 @@ class DocumentProcessingNotificationHandler(BaseNotificationHandler): operation_id=operation_id, title=title, message=message, - search_space_id=search_space_id, + workspace_id=workspace_id, initial_metadata=metadata, ) diff --git a/surfsense_backend/app/notifications/service/handlers/insufficient_credits.py b/surfsense_backend/app/notifications/service/handlers/insufficient_credits.py index 46124f222..b6cd12976 100644 --- a/surfsense_backend/app/notifications/service/handlers/insufficient_credits.py +++ b/surfsense_backend/app/notifications/service/handlers/insufficient_credits.py @@ -26,12 +26,12 @@ class InsufficientCreditsNotificationHandler(BaseNotificationHandler): user_id: UUID, document_name: str, document_type: str, - search_space_id: int, + workspace_id: int, balance_micros: int, required_micros: int, ) -> Notification: """Notify that a document was blocked by insufficient credit.""" - operation_id = msg.operation_id(document_name, search_space_id) + operation_id = msg.operation_id(document_name, workspace_id) title, message = msg.summary(document_name, balance_micros, required_micros) metadata = { @@ -43,13 +43,13 @@ class InsufficientCreditsNotificationHandler(BaseNotificationHandler): "status": "failed", "error_type": "insufficient_credits", # Where the inbox item links to. - "action_url": f"/dashboard/{search_space_id}/buy-more", + "action_url": f"/dashboard/{workspace_id}/buy-more", "action_label": "Buy credits", } notification = Notification( user_id=user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, type=self.notification_type, title=title, message=message, diff --git a/surfsense_backend/app/notifications/service/handlers/mention.py b/surfsense_backend/app/notifications/service/handlers/mention.py index 568dc01de..2502648a2 100644 --- a/surfsense_backend/app/notifications/service/handlers/mention.py +++ b/surfsense_backend/app/notifications/service/handlers/mention.py @@ -48,7 +48,7 @@ class MentionNotificationHandler(BaseNotificationHandler): author_avatar_url: str | None, author_email: str, content_preview: str, - search_space_id: int, + workspace_id: int, ) -> Notification: """Notify a mentioned user; idempotent on ``mention_id``.""" existing = await self.find_notification_by_mention(session, mention_id) @@ -77,7 +77,7 @@ class MentionNotificationHandler(BaseNotificationHandler): try: notification = Notification( user_id=mentioned_user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, type=self.notification_type, title=title, message=message, diff --git a/surfsense_backend/app/notifications/service/messages/document_processing.py b/surfsense_backend/app/notifications/service/messages/document_processing.py index 1f324b35d..fea583f07 100644 --- a/surfsense_backend/app/notifications/service/messages/document_processing.py +++ b/surfsense_backend/app/notifications/service/messages/document_processing.py @@ -9,11 +9,11 @@ from typing import Any from app.notifications.service.messages.text import format_title -def operation_id(document_type: str, filename: str, search_space_id: int) -> str: +def operation_id(document_type: str, filename: str, workspace_id: int) -> str: """Build a unique id for a document processing run.""" timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S_%f") filename_hash = hashlib.md5(filename.encode()).hexdigest()[:8] - return f"doc_{document_type}_{search_space_id}_{timestamp}_{filename_hash}" + return f"doc_{document_type}_{workspace_id}_{timestamp}_{filename_hash}" def started_title(document_name: str) -> str: diff --git a/surfsense_backend/app/notifications/service/messages/insufficient_credits.py b/surfsense_backend/app/notifications/service/messages/insufficient_credits.py index fad26ad91..5e8ca5299 100644 --- a/surfsense_backend/app/notifications/service/messages/insufficient_credits.py +++ b/surfsense_backend/app/notifications/service/messages/insufficient_credits.py @@ -8,11 +8,11 @@ from datetime import UTC, datetime from app.notifications.service.messages.text import truncate -def operation_id(document_name: str, search_space_id: int) -> str: +def operation_id(document_name: str, workspace_id: int) -> str: """Build a unique id for an insufficient-credits notification.""" timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S_%f") doc_hash = hashlib.md5(document_name.encode()).hexdigest()[:8] - return f"insufficient_credits_{search_space_id}_{timestamp}_{doc_hash}" + return f"insufficient_credits_{workspace_id}_{timestamp}_{doc_hash}" def summary( diff --git a/surfsense_backend/app/observability/metrics.py b/surfsense_backend/app/observability/metrics.py index ade43ab01..5cd70dd26 100644 --- a/surfsense_backend/app/observability/metrics.py +++ b/surfsense_backend/app/observability/metrics.py @@ -36,7 +36,11 @@ _ERROR_CATEGORY_HINTS: tuple[tuple[str, tuple[str, ...]], ...] = ( def _package_version() -> str: - with contextlib.suppress(metadata.PackageNotFoundError): + # Best-effort telemetry tag only: never let a version lookup crash the + # request path. Besides PackageNotFoundError, a malformed/dynamic editable + # install can have distribution metadata with no "Version" field, which + # raises KeyError deep in importlib.metadata. Suppress broadly. + with contextlib.suppress(Exception): return metadata.version("surf-new-backend") return "unknown" @@ -534,12 +538,12 @@ def record_tool_call_error(*, tool_name: str) -> None: def record_kb_search_duration( - duration_ms: float, *, search_space_id: int | None, surface: str + duration_ms: float, *, workspace_id: int | None, surface: str ) -> None: _record( _kb_search_duration(), duration_ms, - {"search_space.id": search_space_id, "search.surface": surface}, + {"workspace.id": workspace_id, "search.surface": surface}, ) diff --git a/surfsense_backend/app/observability/otel.py b/surfsense_backend/app/observability/otel.py index ad2178f39..7752c2673 100644 --- a/surfsense_backend/app/observability/otel.py +++ b/surfsense_backend/app/observability/otel.py @@ -254,14 +254,14 @@ def model_call_span( def kb_search_span( *, - search_space_id: int | None = None, + workspace_id: int | None = None, query_chars: int | None = None, extra: dict[str, Any] | None = None, ): """Span around knowledge-base search routines.""" attrs: dict[str, Any] = {} - if search_space_id is not None: - attrs["search_space.id"] = int(search_space_id) + if workspace_id is not None: + attrs["workspace.id"] = int(workspace_id) if query_chars is not None: attrs["query.chars"] = int(query_chars) if extra: @@ -289,7 +289,7 @@ def kb_persist_span( def chat_request_span( *, chat_id: int | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, flow: str | None = None, request_id: str | None = None, turn_id: str | None = None, @@ -302,8 +302,8 @@ def chat_request_span( attrs: dict[str, Any] = {} if chat_id is not None: attrs["chat.id"] = int(chat_id) - if search_space_id is not None: - attrs["search_space.id"] = int(search_space_id) + if workspace_id is not None: + attrs["workspace.id"] = int(workspace_id) if flow: attrs["chat.flow"] = flow if request_id: diff --git a/surfsense_backend/app/podcasts/api/routes.py b/surfsense_backend/app/podcasts/api/routes.py index 582b0531e..3cf293a2f 100644 --- a/surfsense_backend/app/podcasts/api/routes.py +++ b/surfsense_backend/app/podcasts/api/routes.py @@ -22,8 +22,8 @@ from app.auth.context import AuthContext from app.config import config as app_config from app.db import ( Permission, - SearchSpace, - SearchSpaceMembership, + Workspace, + WorkspaceMembership, get_async_session, ) from app.podcasts.generation.brief import propose_brief @@ -59,7 +59,7 @@ router = APIRouter() @router.get("/podcasts", response_model=list[PodcastSummary]) async def list_podcasts( - search_space_id: int | None = None, + workspace_id: int | None = None, skip: int = 0, limit: int = 100, session: AsyncSession = Depends(get_async_session), @@ -69,11 +69,11 @@ async def list_podcasts( if skip < 0 or limit < 1: raise HTTPException(status_code=400, detail="Invalid pagination parameters") - if search_space_id is not None: - await _require(session, auth, search_space_id, Permission.PODCASTS_READ) + if workspace_id is not None: + await _require(session, auth, workspace_id, Permission.PODCASTS_READ) query = ( select(Podcast) - .where(Podcast.search_space_id == search_space_id) + .where(Podcast.workspace_id == workspace_id) .order_by(Podcast.created_at.desc()) .offset(skip) .limit(limit) @@ -81,9 +81,9 @@ async def list_podcasts( else: query = ( select(Podcast) - .join(SearchSpace) - .join(SearchSpaceMembership) - .where(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .where(WorkspaceMembership.user_id == user.id) .order_by(Podcast.created_at.desc()) .offset(skip) .limit(limit) @@ -159,19 +159,19 @@ async def create_podcast( session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): - await _require(session, auth, body.search_space_id, Permission.PODCASTS_CREATE) + await _require(session, auth, body.workspace_id, Permission.PODCASTS_CREATE) service = PodcastService(session) podcast = await service.create( title=body.title, - search_space_id=body.search_space_id, + workspace_id=body.workspace_id, thread_id=body.thread_id, ) podcast.source_content = body.source_content spec = await propose_brief( session, - search_space_id=body.search_space_id, + workspace_id=body.workspace_id, speaker_count=body.speaker_count, min_seconds=body.min_seconds, max_seconds=body.max_seconds, @@ -219,7 +219,7 @@ async def approve_brief( async with _lifecycle_errors(): await PodcastService(session).begin_drafting(podcast) await session.commit() - draft_transcript_task.delay(podcast.id, podcast.search_space_id) + draft_transcript_task.delay(podcast.id, podcast.workspace_id) return PodcastDetail.of(podcast) @@ -325,15 +325,15 @@ async def stream_podcast( async def _require( session: AsyncSession, auth: AuthContext, - search_space_id: int, + workspace_id: int, permission: Permission, ) -> None: await check_permission( session, auth, - search_space_id, + workspace_id, permission.value, - "You don't have permission for podcasts in this search space", + "You don't have permission for podcasts in this workspace", ) @@ -346,7 +346,7 @@ async def _load( podcast = await PodcastRepository(session).get(podcast_id) if podcast is None: raise HTTPException(status_code=404, detail="Podcast not found") - await _require(session, auth, podcast.search_space_id, permission) + await _require(session, auth, podcast.workspace_id, permission) return podcast diff --git a/surfsense_backend/app/podcasts/api/schemas.py b/surfsense_backend/app/podcasts/api/schemas.py index e9d6e6b0c..12b978c09 100644 --- a/surfsense_backend/app/podcasts/api/schemas.py +++ b/surfsense_backend/app/podcasts/api/schemas.py @@ -30,7 +30,7 @@ class CreatePodcastRequest(BaseModel): """Create a podcast and kick off brief proposal.""" title: str = Field(..., min_length=1, max_length=500) - search_space_id: int + workspace_id: int source_content: str = Field(..., min_length=1) thread_id: int | None = None speaker_count: int = Field(default=DEFAULT_SPEAKER_COUNT, ge=1, le=6) @@ -83,7 +83,7 @@ class PodcastSummary(BaseModel): title: str status: PodcastStatus created_at: datetime - search_space_id: int + workspace_id: int thread_id: int | None = None @@ -100,7 +100,7 @@ class PodcastDetail(BaseModel): duration_seconds: int | None error: str | None created_at: datetime - search_space_id: int + workspace_id: int thread_id: int | None @classmethod @@ -116,6 +116,6 @@ class PodcastDetail(BaseModel): duration_seconds=podcast.duration_seconds, error=podcast.error, created_at=podcast.created_at, - search_space_id=podcast.search_space_id, + workspace_id=podcast.workspace_id, thread_id=podcast.thread_id, ) diff --git a/surfsense_backend/app/podcasts/generation/brief/propose.py b/surfsense_backend/app/podcasts/generation/brief/propose.py index 09d74840e..915a03909 100644 --- a/surfsense_backend/app/podcasts/generation/brief/propose.py +++ b/surfsense_backend/app/podcasts/generation/brief/propose.py @@ -17,7 +17,7 @@ from .state import BriefState async def propose_brief( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, speaker_count: int = DEFAULT_SPEAKER_COUNT, min_seconds: int = DEFAULT_MIN_SECONDS, max_seconds: int = DEFAULT_MAX_SECONDS, @@ -25,7 +25,7 @@ async def propose_brief( ) -> PodcastSpec: """Reuse the last-used language and voices, else English; return the spec.""" last_language, last_voices = preferences_from( - await PodcastRepository(session).latest_with_spec(search_space_id) + await PodcastRepository(session).latest_with_spec(workspace_id) ) config = { "configurable": { diff --git a/surfsense_backend/app/podcasts/generation/transcript/config.py b/surfsense_backend/app/podcasts/generation/transcript/config.py index f627fc166..6c4e7d508 100644 --- a/surfsense_backend/app/podcasts/generation/transcript/config.py +++ b/surfsense_backend/app/podcasts/generation/transcript/config.py @@ -13,7 +13,7 @@ from app.podcasts.schemas import PodcastSpec class TranscriptConfig: """The approved spec and user focus that drive drafting.""" - search_space_id: int + workspace_id: int spec: PodcastSpec focus: str | None = None diff --git a/surfsense_backend/app/podcasts/generation/transcript/nodes.py b/surfsense_backend/app/podcasts/generation/transcript/nodes.py index 7b472348d..df8df7d2c 100644 --- a/surfsense_backend/app/podcasts/generation/transcript/nodes.py +++ b/surfsense_backend/app/podcasts/generation/transcript/nodes.py @@ -97,11 +97,9 @@ def finalize(state: TranscriptState, config: RunnableConfig) -> dict[str, Any]: async def _require_llm(state: TranscriptState, tc: TranscriptConfig): - llm = await get_agent_llm(state.db_session, tc.search_space_id) + llm = await get_agent_llm(state.db_session, tc.workspace_id) if llm is None: - raise RuntimeError( - f"no agent LLM configured for search space {tc.search_space_id}" - ) + raise RuntimeError(f"no agent LLM configured for workspace {tc.workspace_id}") return llm diff --git a/surfsense_backend/app/podcasts/persistence/models.py b/surfsense_backend/app/podcasts/persistence/models.py index 6e40a8040..2c7e2a6c2 100644 --- a/surfsense_backend/app/podcasts/persistence/models.py +++ b/surfsense_backend/app/podcasts/persistence/models.py @@ -68,10 +68,12 @@ class Podcast(BaseModel, TimestampMixin): # Legacy local audio path; retained for back-compat until cutover. file_location = Column(Text, nullable=True) - search_space_id = Column( - Integer, ForeignKey("searchspaces.id", ondelete="CASCADE"), nullable=False + workspace_id = Column( + Integer, + ForeignKey("workspaces.id", ondelete="CASCADE"), + nullable=False, ) - search_space = relationship("SearchSpace", back_populates="podcasts") + workspace = relationship("Workspace", back_populates="podcasts") thread_id = Column( Integer, diff --git a/surfsense_backend/app/podcasts/persistence/repository.py b/surfsense_backend/app/podcasts/persistence/repository.py index 04eae9ce1..d1620d136 100644 --- a/surfsense_backend/app/podcasts/persistence/repository.py +++ b/surfsense_backend/app/podcasts/persistence/repository.py @@ -28,7 +28,7 @@ class PodcastRepository: await self._session.flush() return podcast - async def latest_with_spec(self, search_space_id: int) -> Podcast | None: + async def latest_with_spec(self, workspace_id: int) -> Podcast | None: """Most recent podcast in the space that has a stored brief. Used to seed language/voice defaults for a new podcast from what the @@ -37,7 +37,7 @@ class PodcastRepository: result = await self._session.execute( select(Podcast) .where( - Podcast.search_space_id == search_space_id, + Podcast.workspace_id == workspace_id, Podcast.spec.is_not(None), ) .order_by(Podcast.created_at.desc()) diff --git a/surfsense_backend/app/podcasts/service.py b/surfsense_backend/app/podcasts/service.py index 165bc77a4..e1da27b4f 100644 --- a/surfsense_backend/app/podcasts/service.py +++ b/surfsense_backend/app/podcasts/service.py @@ -86,12 +86,12 @@ class PodcastService: self._repo = PodcastRepository(session) async def create( - self, *, title: str, search_space_id: int, thread_id: int | None = None + self, *, title: str, workspace_id: int, thread_id: int | None = None ) -> Podcast: """Create a fresh podcast in ``PENDING`` awaiting its brief.""" podcast = Podcast( title=title, - search_space_id=search_space_id, + workspace_id=workspace_id, thread_id=thread_id, status=PodcastStatus.PENDING, spec_version=1, diff --git a/surfsense_backend/app/podcasts/storage.py b/surfsense_backend/app/podcasts/storage.py index c3326460d..1c0f577dc 100644 --- a/surfsense_backend/app/podcasts/storage.py +++ b/surfsense_backend/app/podcasts/storage.py @@ -16,21 +16,21 @@ from app.podcasts.persistence import Podcast _AUDIO_CONTENT_TYPE = "audio/mpeg" -def build_audio_key(*, search_space_id: int, podcast_id: int) -> str: +def build_audio_key(*, workspace_id: int, podcast_id: int) -> str: """Object key for a podcast's audio. - Shape: ``podcasts/{search_space_id}/{podcast_id}/{uuid}.mp3``. The uuid lets + Shape: ``podcasts/{workspace_id}/{podcast_id}/{uuid}.mp3``. The uuid lets a re-render write a fresh object before the old one is purged. """ - return f"podcasts/{search_space_id}/{podcast_id}/{uuid.uuid4().hex}.mp3" + return f"podcasts/{workspace_id}/{podcast_id}/{uuid.uuid4().hex}.mp3" async def store_audio( - *, search_space_id: int, podcast_id: int, data: bytes + *, workspace_id: int, podcast_id: int, data: bytes ) -> tuple[str, str]: """Persist audio bytes and return ``(backend_name, storage_key)``.""" backend = get_storage_backend() - key = build_audio_key(search_space_id=search_space_id, podcast_id=podcast_id) + key = build_audio_key(workspace_id=workspace_id, podcast_id=podcast_id) await backend.put(key, data, content_type=_AUDIO_CONTENT_TYPE) return backend.backend_name, key diff --git a/surfsense_backend/app/podcasts/tasks/draft.py b/surfsense_backend/app/podcasts/tasks/draft.py index c5b489571..7b5a82d70 100644 --- a/surfsense_backend/app/podcasts/tasks/draft.py +++ b/surfsense_backend/app/podcasts/tasks/draft.py @@ -19,7 +19,7 @@ from app.podcasts.service import PodcastService, read_spec from app.services.billable_calls import ( BillingSettlementError, QuotaInsufficientError, - _resolve_agent_billing_for_search_space, + _resolve_agent_billing_for_workspace, billable_call, ) from app.tasks.celery_tasks import get_celery_session_maker, run_async_celery_task @@ -31,10 +31,10 @@ logger = logging.getLogger(__name__) @celery_app.task(name="podcast.draft_transcript", bind=True) -def draft_transcript_task(self, podcast_id: int, search_space_id: int) -> dict: +def draft_transcript_task(self, podcast_id: int, workspace_id: int) -> dict: try: return run_async_celery_task( - lambda: _draft_transcript(podcast_id, search_space_id) + lambda: _draft_transcript(podcast_id, workspace_id) ) except Exception as exc: logger.error("Podcast %s drafting failed: %s", podcast_id, exc) @@ -43,7 +43,7 @@ def draft_transcript_task(self, podcast_id: int, search_space_id: int) -> dict: return {"status": "failed", "podcast_id": podcast_id} -async def _draft_transcript(podcast_id: int, search_space_id: int) -> dict: +async def _draft_transcript(podcast_id: int, workspace_id: int) -> dict: async with get_celery_session_maker()() as session: repo = PodcastRepository(session) service = PodcastService(session) @@ -55,8 +55,8 @@ async def _draft_transcript(podcast_id: int, search_space_id: int) -> dict: if spec is None: raise ValueError(f"podcast {podcast_id} has no approved brief") - owner_id, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id, thread_id=podcast.thread_id + owner_id, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id, thread_id=podcast.thread_id ) state = TranscriptState( @@ -64,7 +64,7 @@ async def _draft_transcript(podcast_id: int, search_space_id: int) -> dict: ) config = { "configurable": { - "search_space_id": search_space_id, + "workspace_id": workspace_id, "spec": spec, "focus": spec.focus, } @@ -73,7 +73,7 @@ async def _draft_transcript(podcast_id: int, search_space_id: int) -> dict: try: async with billable_call( user_id=owner_id, - search_space_id=search_space_id, + workspace_id=workspace_id, billing_tier=tier, base_model=base_model, quota_reserve_micros_override=app_config.QUOTA_DEFAULT_PODCAST_RESERVE_MICROS, diff --git a/surfsense_backend/app/podcasts/tasks/render.py b/surfsense_backend/app/podcasts/tasks/render.py index 2e550a868..7759691a9 100644 --- a/surfsense_backend/app/podcasts/tasks/render.py +++ b/surfsense_backend/app/podcasts/tasks/render.py @@ -67,7 +67,7 @@ async def _render_audio(podcast_id: int) -> dict: superseded_key = podcast.storage_key backend_name, key = await store_audio( - search_space_id=podcast.search_space_id, + workspace_id=podcast.workspace_id, podcast_id=podcast_id, data=rendered.data, ) diff --git a/surfsense_backend/app/proprietary/LICENSE b/surfsense_backend/app/proprietary/LICENSE new file mode 100644 index 000000000..dc74c51ce --- /dev/null +++ b/surfsense_backend/app/proprietary/LICENSE @@ -0,0 +1,109 @@ +Business Source License 1.1 + +License text copyright (c) 2017 MariaDB Corporation Ab, All Rights Reserved. +"Business Source License" is a trademark of MariaDB Corporation Ab. + +----------------------------------------------------------------------------- + +Parameters + +Licensor: SurfSense + +Licensed Work: The SurfSense Proprietary Components, being all files + contained in this directory tree + (surfsense_backend/app/proprietary/**). + The Licensed Work is (c) 2026 SurfSense. + +Additional Use Grant: You may make production use of the Licensed Work, + provided such use does not include offering the + Licensed Work, or any product or service whose value + derives, entirely or substantially, from the Licensed + Work, to third parties as a commercial product or as a + hosted or managed service. + +Change Date: Four years from the date each version of the Licensed + Work is publicly released. + +Change License: Apache License, Version 2.0 + +For information about alternative licensing arrangements for the Licensed +Work, please contact the Licensor. + +----------------------------------------------------------------------------- + +Notice + +The Business Source License (this document, or the "License") is not an Open +Source license. 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To specify as the Change License the GPL Version 2.0 or any later version, + or a license that is compatible with GPL Version 2.0 or a later version, + where "compatible" means that software provided under the Change License + can be included in a program with software provided under GPL Version 2.0 + or a later version. Licensor may specify additional Change Licenses + without limitation. + +2. To either: (a) specify an additional grant of rights to use that does not + impose any additional restriction on the right granted in this License, as + the Additional Use Grant; or (b) insert the text "None". + +3. To specify a Change Date. + +4. Not to modify this License in any other way. diff --git a/surfsense_backend/app/proprietary/__init__.py b/surfsense_backend/app/proprietary/__init__.py new file mode 100644 index 000000000..2c1031e99 --- /dev/null +++ b/surfsense_backend/app/proprietary/__init__.py @@ -0,0 +1,10 @@ +"""SurfSense proprietary packages (non-Apache-2 license boundary). + +Everything under ``app.proprietary`` is licensed **separately** from the +Apache-2.0 project root — see ``app/proprietary/LICENSE``. This package holds +the in-house undetectable crawler engine and (future) platform-specific actors +that form the product's moat. + +Apache-2.0 code elsewhere in the app may *import from* this package, but code +placed *inside* it is not covered by the repository's Apache-2.0 license. +""" diff --git a/surfsense_backend/app/proprietary/platforms/__init__.py b/surfsense_backend/app/proprietary/platforms/__init__.py new file mode 100644 index 000000000..86c49efbb --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/__init__.py @@ -0,0 +1,6 @@ +"""Platform-native crawl/extraction actors (non-Apache-2; see ../LICENSE). + +One subpackage per platform (e.g. ``youtube``), each a structured extractor for +that platform's data. Actors may reuse the shared fetch strategies in +``app.proprietary.web_crawler`` but expose their own platform-specific I/O. +""" diff --git a/surfsense_backend/app/proprietary/platforms/google_maps/README.md b/surfsense_backend/app/proprietary/platforms/google_maps/README.md new file mode 100644 index 000000000..9e438181f --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_maps/README.md @@ -0,0 +1,341 @@ +# Google Maps Scraper + +A platform-native Google Maps scraper intended as a **drop-in clone of the +Apify "Google Maps Scraper" and "Google Maps Reviews Scraper" actors** — same +input surface, same output item shape. Built on the same layout and +progressive-implementation approach as the sibling `../youtube` scraper. + +**Current status: search + place details + reviews live.** Search terms +(`searchStringsArray` x `locationQuery`/geolocation) are discovered via the +public `search?tbm=map` RPC with offset paging and the Apify result filters. +Direct place URLs and bare `placeIds` are scraped via Google's public +`/maps/preview/place` RPC; reviews (both the standalone Reviews endpoint and +inline `reviews[]` on places when `maxReviews > 0`) come from the public +`GetLocalBoqProxy` review feed with full token-based pagination. No login, +proxy-only egress. + +## Public vs. gated data + +All core Maps data is **public — no Google account needed**: search results, +place details (phone, website, hours, price, coordinates, plus code, address +components), and reviews (text, ratings, reviewer profiles, owner responses) +are served by Google's internal endpoints (`/maps/preview/place`, +`GetLocalBoqProxy`, `search?tbm=map`) which return XSSI-guarded JSON to +anonymous requests. Only a residential proxy is required (Google blocks +datacenter IPs) — already wired via `app/utils/proxy`. + +**Session-gated (but still login-free) fields:** Google trims the rich detail +fields — `reviewsCount`, `reviewsDistribution`, popular times, image +galleries, `reviewsTags`, and most `additionalInfo` sections — from responses +that carry **no session cookie**. A plain GET to `/maps` mints an `NID` cookie +that unlocks all of them (no login, no browser needed at runtime; +`fetch.get_session_cookies` mints them into a small rotating pool with a +30-minute TTL). The full-page `pb` selector these fields also require was +captured once from a headless browser render of a place page and genericized +into `_PLACE_DETAIL_PB`. + +> Note: the older review RPCs other scrapers documented (`listugcposts`, +> `listentitiesreviews`) now return empty pages / 404 to anonymous callers — +> they appear to require a signed-in session. The `GetLocalBoqProxy` feed (used +> by Google's own search local panel) is the one that still works publicly and +> is what `fetch.iter_reviews_pages` uses. + +If Google ever serves a sign-in/consent wall instead of data, +`SignInRequiredError` is raised and the route returns **403 "Google sign in +required"** rather than an empty result. + +Not sourced from Maps at all (Apify enrichment add-ons that hit third-party +data brokers / the business's own website — out of scope for public-Maps-only): +`maximumLeadsEnrichmentRecords`, `leadsEnrichmentDepartments`, +`verifyLeadsEnrichmentEmails`, `scrapeSocialMediaProfiles`, `scrapeContacts`, +`enableCompetitorAnalysis`. These stay at their schema defaults (`None`/`[]`). + +## Quick start + +```python +from app.proprietary.scrapers.google_maps import ( + GoogleMapsScrapeInput, scrape_places, + GoogleMapsReviewsInput, scrape_reviews, +) + +# Places — search terms, direct URLs, and placeIds are all additive. +# maxReviews > 0 also attaches inline reviews[] to each place item. +places = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["coffee shop"], + locationQuery="Seattle, WA", + maxCrawledPlacesPerSearch=20, + startUrls=[{"url": "https://www.google.com/maps/place/..."}], + placeIds=["ChIJJQz5EZzKw4kRCZ95UajbyGw"], + maxReviews=10, + ) +) + +# Reviews — one flat item per review (review fields + place header fields) +reviews = await scrape_reviews( + GoogleMapsReviewsInput( + placeIds=["ChIJJQz5EZzKw4kRCZ95UajbyGw"], + maxReviews=100, + reviewsSort="newest", + ) +) +``` + +Both have a streaming twin — `iter_places()` / `iter_reviews()`. The HTTP +surface lives in `app/routes/google_maps_routes.py` (`POST /google-maps/scrape` +and `POST /google-maps/reviews`). + +## Module map + +| File | Responsibility | +| ----------------- | ------------------------------------------------------------------------------------------------------------------------------------ | +| `__init__.py` | Public exports (entry points + schemas). | +| `schemas.py` | Pydantic input/output models mirroring the Apify camelCase specs. `extra="allow"` on outputs keeps the contract open. | +| `scraper.py` | Places orchestrator. `_place_flow` (live): fid → detail RPC → `PlaceItem` (+ inline reviews). `_search_flow` (live): tbm=map paging + filters. | +| `reviews.py` | Reviews orchestrator (live). Pages the BOQ feed per place, applies sort/date-cutoff/origin/personal-data rules, one flat item per review. | +| `fetch.py` | Proxy-only fetch seam: `fetch_html`, `fetch_rpc_json` (XSSI-strip + HTML-wrapper tolerant), `fetch_place_darray`, `iter_reviews_pages`, `iter_search_pages`. | +| `parsers.py` | Pure array-path parsing: place `darray` → PlaceItem fields (paths from gosom), BOQ review arrays → ReviewFields dicts. | +| `url_resolver.py` | Classify a URL into `place` / `search` / `reviews` / `cid` / `shortlink`; extract the feature ID (`0x..:0x..`). | + +## How place scraping works + +1. Resolve the **feature ID** (`0x<hex>:0x<hex>`): from the URL's `data=!1s…` + blob when present, else fetch the place page once and regex it from HTML + (covers `?q=place_id:ChIJ…` and `?cid=…`). Name-only URLs + (`/maps/place/Eiffel+Tower/`) serve a JS shell with no fid in the HTML, so + those fall back to a `search?tbm=map` lookup of the name + (`fetch.fid_from_search`) and take the top result's fid. Short links + (`maps.app.goo.gl` / `goo.gl`) are Firebase Dynamic Links — a plain GET only + returns a JS interstitial, so they're browser-rendered so the JS follows the + redirect to the real `/maps/place/…` URL, then the fid is read from that. +2. GET `/maps/preview/place?…&pb=!1m13!1s{fid}…` through the proxy, with the + NID session cookie. The `pb` is the same selector the Maps web app sends + (browser-captured, genericized), so the response is the **full** payload + including the session-gated fields. `)]}'`-guarded JSON; `jd[6]` is the + place detail array ("darray") that all field paths index into. +3. `parse_place()` maps darray positions → Apify-shaped fields (title, + categories, address components, phone, website, rating, plus code, hours, + coordinates, placeId…). Only keys whose path hit are set; the rest keep + schema defaults. + +Detail extras parsed from the same darray (no extra requests): + +- `kgmid` (`darray[89]`, e.g. `/g/11bw4ws2mt`) and `cid` — the CID is just the + decimal value of the fid's second hex half, so it's derived, not fetched. +- `additionalInfo` — all about sections at `darray[100][1]` in Apify's shape + (`{"Accessibility": [{"Wheelchair accessible entrance": true}, …]}`). +- `reviewsCount` (`[4][8]`) + `reviewsDistribution` (`[175][3]`). +- `popularTimesHistogram` / `popularTimesLiveText` / `popularTimesLivePercent` + (`darray[84]`). +- `imagesCount` (`[37][1]`), `imageCategories` (gallery tab names at + `[171][0]`), `imageUrls` (hero photos + tab thumbnails; emitted only when + `maxImages > 0`, capped at it). Full multi-thousand-photo galleries would + need the signed-in photo-listing RPC, so `imageUrls` tops out around a + dozen per place. +- `reviewsTags` (`[153][0]` → `[{title, count}]`). +- `tableReservationLinks` + `reserveTableUrl` (`darray[46]`), `orderBy` / + `googleFoodUrl` (order-online providers at `darray[75]`), `menu` + (`darray[38][0]`). + +Hotel places (detected by the star string at `darray[35][6]`) additionally +get: `hotelStars`, `hotelDescription`, `checkInDate`/`checkOutDate` (the +dates Google quoted prices for, `[35][0..1]`), `similarHotelsNearby` +(`[35][29][0]` — title/fid/score/count/location/description), and `hotelAds` +(`[35][44]` — booking-partner title/url/price). Probed live on The Plaza NYC. + +Search-result darrays are served **without** the session-gated fields (the +NID cookie doesn't help `search?tbm=map` — verified live), so when +`scrapePlaceDetailPage=true` or `maxImages > 0` the search flow makes one +detail RPC per emitted place and merges the full payload over the search +fields — same trade Apify makes (search-only is one request per ~20 places; +detail adds one per place). + +**`allPlacesNoSearchAction`** (area scan with no search term): Apify's +implementation OCRs / mouse-overs rendered map pins — the public RPC has no +"list everything" query (`*` and empty return nothing). Ours approximates the +scan with a broad category sweep (`restaurant`, `store`, `hotel`, …17 terms) +over the requested viewport, deduped by fid, until +`maxCrawledPlacesPerSearch`. `searchString` carries the action value on scan +items. Verified live: 25 unique places / 14 distinct categories from a 400 m +Times Square viewport. + +## How search discovery works + +1. Build the query: `"{search term} in {location}"` when `locationQuery` (or + the city/state/... geolocation fields) is set — Google localizes from the + query text, so no geocoding round-trip is needed. A `customGeolocation` + GeoJSON Point instead sets a real lat/lng/radius viewport. +2. Page `search?tbm=map` (~20 results per page, `!8i` offset). Each result + entry embeds a **full place darray** at `entry[14]` — same shape as the + detail RPC — so `parse_place()` runs directly on it and no per-place detail + request is needed. Single-match queries put the one place in slot 0 of the + results list; multi-result pages start at slot 1 (both handled). +3. Dedupe by fid (Google reshuffles results between pages), stamp + `rank`/`searchString`/`searchPageUrl`, apply the Apify filters client-side + (`searchMatching`, `categoryFilterWords`, `placeMinimumStars`, `website`, + `skipClosedPlaces`), and stop at `maxCrawledPlacesPerSearch`, an empty + page, or a page with no new fids. Verified live to 60 unique results + (3+ pages) with strictly sequential ranks, and to terminate on its own for + sparse queries that exhaust before the cap. + +Closed places: `darray[88][0]` carries a status enum (`CLOSED` verified live +on a permanently-closed place) that maps to `permanentlyClosed`. + +## Performance + +Every RPC is a ~2s proxy round-trip, so wall-clock time is dominated by how +many requests run in series, not by parsing. Independent requests are +overlapped (bounded, order preserved via `gather_bounded`): + +- **Detail enrichment** (`scrapePlaceDetailPage` / `maxImages`) and inline + reviews fire concurrently across a search page instead of one place at a + time — the biggest lever (a 20-place enriched search went from ~50s to ~10s, + `_DETAIL_CONCURRENCY=8`). +- **Search pages** are prefetched in waves sized from the result cap + (`_prefetch_for`) so a 60-result / 3-page search overlaps its pages. +- **Bulk `placeIds`** are fetched in parallel. +- **NID mint** coalesces concurrent cold callers onto one in-flight request + (the pool lock isn't held across the network call), so a burst of parallel + detail fetches doesn't serialize behind N sequential ~2s mints. + +Reviews within a single place stay sequential — pagination is +continuation-token based (each token embeds the previous page's last-review +key plus a signature, so page N+1's token can't be forged or precomputed). +The only lever there is page size: the feed is asked for the ~60/page ceiling +(`_REVIEWS_PAGE_SIZE`) instead of the old 10/20, cutting the sequential +round-trips ~3x (1000 reviews: ~113s → ~40s). + +## How review scraping works + +1. Resolve the feature ID exactly as above (reviews accept the same + `startUrls` / `placeIds` inputs). +2. Fetch the place detail once for the header fields (title, address, + location, …) that Apify stamps onto every review item. +3. Page `GetLocalBoqProxy` (~60 reviews per page — the feed's ceiling, asked + via `_REVIEWS_PAGE_SIZE`; opaque continuation token in `node[6]`) until + `maxReviews`, the `reviewsStartDate` cutoff (newest-first), or the feed is + exhausted. Sort modes map to codes 1–4 + (mostRelevant/newest/highestRanking/lowestRanking). +4. `parse_review()` maps each ~48-slot review array → ReviewFields (author, + stars, text, ISO publish date, images, owner response, guided + context/per-aspect ratings, origin). `personalData=false` strips reviewer + name/id/URL/photo (reviewId stays), per Apify semantics. + +## API spec + +Mirrors the Apify "Google Maps Scraper" and "Google Maps Reviews Scraper" +actors (camelCase, `extra="allow"`). Unknown inputs are accepted, unsourced +outputs come back as `None`/`[]`/`{}` — parity grows without breaking +consumers. `schemas.py` is the source of truth; the tables below list what the +implementation actually **sources** vs. still **stubs**. + +### Places — input (`GoogleMapsScrapeInput`) + +| Field | Type / default | Status | Notes | +|---|---|---|---| +| `searchStringsArray` | `list[str]` `[]` | ✅ | search-term discovery; additive with the others | +| `startUrls` | `list[{url}]` `[]` | ✅ | place / CID / short / search / reviews URLs | +| `placeIds` | `list[str]` `[]` | ✅ | bare `ChIJ…` ids (fetched in parallel) | +| `allPlacesNoSearchAction` | enum `""` | ✅* | area scan via broad-category sweep (approximation) | +| `locationQuery` | `str` | ✅ | e.g. `"San Jose, CA"`, appended as `"{q} in {loc}"` | +| `city`/`state`/`county`/`postalCode`/`countryCode` | `str` | ✅ | discrete location parts (alt. to `locationQuery`) | +| `customGeolocation` | GeoJSON `Point`+`radiusKm` | ✅ | real lat/lng/radius viewport | +| `maxCrawledPlacesPerSearch` | `int\|None` | ✅ | `None` = all; caps emitted places | +| `language` | `str` `"en"` | ✅ | `hl=` on every RPC | +| `searchMatching` | `all\|only_includes\|only_exact` | ✅ | title-match filter | +| `categoryFilterWords` | `list[str]` `[]` | ✅ | category client-filter | +| `placeMinimumStars` | enum `""` | ✅ | min `totalScore` filter | +| `website` | `allPlaces\|withWebsite\|withoutWebsite` | ✅ | website-presence filter | +| `skipClosedPlaces` | `bool` `false` | ✅ | drops permanently/temporarily closed | +| `scrapePlaceDetailPage` | `bool` `false` | ✅ | adds detail-RPC extras (see below) | +| `maxReviews` | `int` `0` | ✅ | `0` = none; attaches `reviews[]` | +| `reviewsSort`/`reviewsStartDate`/`reviewsFilterString`/`reviewsOrigin`/`scrapeReviewsPersonalData` | — | ✅ | as in the Reviews scraper | +| `maxImages` | `int` `0` | ✅ | caps `imageUrls` (URLs only, no author/date) | +| `scrapeContacts`, `scrapeSocialMediaProfiles`, `*LeadsEnrichment*`, `enableCompetitorAnalysis`, `maxCompetitorsToAnalyze`, `scrapeTableReservationProvider`, `scrapeOrderOnline`, `includeWebResults`, `scrapeDirectories`, `maxQuestions`, `scrapeImageAuthors` | — | ⛔ stub | accepted; out of scope / login-walled (see TODO) | + +`✅*` = approximation, not pin-complete. + +### Places — output (`PlaceItem`), sourced fields + +- **Identity:** `title`, `description`, `price`, `categoryName`, `categories`, + `placeId`, `fid`, `cid`, `kgmid` +- **Location:** `address`, `neighborhood`, `street`, `city`, `postalCode`, + `state`, `countryCode`, `location{lat,lng}`, `plusCode` +- **Contact:** `website`, `phone`, `phoneUnformatted`, `menu` +- **Ratings/status:** `totalScore`, `reviewsCount`, `reviewsDistribution`, + `permanentlyClosed`, `temporarilyClosed` +- **Images:** `imageUrl`, `imagesCount`, `imageCategories`, `imageUrls` +- **Detail-page (with `scrapePlaceDetailPage`):** `openingHours`, + `additionalInfo`, `reviewsTags`, `popularTimesHistogram`, + `popularTimesLiveText`, `popularTimesLivePercent` +- **Hotels (hotel places):** `hotelStars`, `hotelDescription`, `checkInDate`, + `checkOutDate`, `similarHotelsNearby`, `hotelAds` +- **Reviews (with `maxReviews>0`):** `reviews[]` (see review fields below) +- **Provenance/meta:** `searchString`, `rank`, `searchPageUrl`, `url`, + `scrapedAt` +- **Stubbed** (`[]`/`{}`/`None`): `peopleAlsoSearch`, `questionsAndAnswers`, + `images` (author/date objects), `webResults`, `bookingLinks`, + `tableReservationLinks`, `gasPrices`, `ownerUpdates`, leads/contact/social + enrichment. + +### Reviews — input (`GoogleMapsReviewsInput`) & output (`ReviewItem`) + +Input: `startUrls`, `placeIds`, `maxReviews` (default `10000000` = "all"), +`reviewsSort`, `reviewsStartDate`, `language`, `reviewsOrigin`, `personalData`. + +Output is **one flat item per review** — the review fields merged with the +parent place header. Sourced review fields: `reviewId`, `name`/`text`/ +`textTranslated`, `stars`, `publishAt` (relative) + `publishedAtDate` (ISO), +`likesCount`, `reviewerId`/`reviewerUrl`/`reviewerPhotoUrl`/ +`reviewerNumberOfReviews`/`isLocalGuide`, `reviewOrigin`, `reviewImageUrls`, +`reviewContext`, `reviewDetailedRating`, `responseFromOwnerText` +(+ `responseFromOwnerDate` as relative text only — see TODO). + +Notable input semantics (matching Apify): + +- Places: `searchStringsArray`, `startUrls`, and `placeIds` are **additive** + (unlike YouTube where startUrls override queries). +- `maxCrawledPlacesPerSearch=None` (unset) means "all places". +- Reviews: `maxReviews` defaults to `10000000` ("all"); `reviewsStartDate` + forces newest-first and stops at the cutoff. +- `personalData` / `scrapeReviewsPersonalData` default `true`; when off, + reviewer id/name/URL/photo must be stripped (reviewId always stays). + +## Testing + +Offline unit tests (no network; parser tests pin real captured fixtures): + +```bash +cd surfsense_backend +.venv/Scripts/python.exe -m pytest tests/unit/scrapers/google_maps/ +``` + +Live end-to-end (real network + proxy; also regenerates fixtures): + +```bash +.venv/Scripts/python.exe scripts/e2e_google_maps_scraper.py +``` + +Deep live verification (diverse places worldwide + review semantics: sort +order, date cutoff, pagination uniqueness, personal-data stripping, French +localization, CID URLs, name-only URLs, short links, search-filter variants +`only_exact` / `categoryFilterWords`, and `reviewsOrigin=google`): + +```bash +.venv/Scripts/python.exe scripts/e2e_google_maps_deep.py +``` + +## Implementation TODO (progressive, like YouTube) + +- Owner-response dates are only exposed as relative text ("11 months ago") in + the BOQ feed; `responseFromOwnerDate` carries that string, not an ISO date. + (The detail RPC's inline reviews don't carry reply timestamps either, and + `listugcposts` still returns no reviews even with the NID cookie.) +- Full image galleries (`images` with author/date, beyond the ~dozen + `imageUrls`): needs the signed-in photo-listing RPC. +- Q&A (`questionsAndAnswers`): `darray[126]` is empty everywhere we probed — + Google appears to have retired public Q&A. `peopleAlsoSearch`: not in the + detail darray; likely a separate RPC. +- A pin-complete `allPlacesNoSearchAction` (the category sweep covers most + pins but not businesses outside the swept categories); would need browser + rendering + tile OCR like Apify's. diff --git a/surfsense_backend/app/proprietary/platforms/google_maps/__init__.py b/surfsense_backend/app/proprietary/platforms/google_maps/__init__.py new file mode 100644 index 000000000..f3a8eec14 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_maps/__init__.py @@ -0,0 +1,21 @@ +"""Platform-native Google Maps scraper (Apify Google Maps Scraper-compatible).""" + +from .reviews import iter_reviews, scrape_reviews +from .schemas import ( + GoogleMapsReviewsInput, + GoogleMapsScrapeInput, + PlaceItem, + ReviewItem, +) +from .scraper import iter_places, scrape_places + +__all__ = [ + "GoogleMapsReviewsInput", + "GoogleMapsScrapeInput", + "PlaceItem", + "ReviewItem", + "iter_places", + "iter_reviews", + "scrape_places", + "scrape_reviews", +] diff --git a/surfsense_backend/app/proprietary/platforms/google_maps/fetch.py b/surfsense_backend/app/proprietary/platforms/google_maps/fetch.py new file mode 100644 index 000000000..ef9219f6f --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_maps/fetch.py @@ -0,0 +1,602 @@ +"""Proxy-aware fetch seam for the Google Maps scraper. + +All network I/O flows through here and always egresses through the residential +proxy (Google blocks datacenter IPs outright; a direct hit also risk-blocks the +server IP). Mirrors the design of ``../youtube/innertube.py`` but trimmed to +what Maps needs today: a GET that returns HTML and a GET that returns the +XSSI-stripped JSON that Maps' internal ``/maps/preview/*`` RPC endpoints emit. + +Google Maps place/search/review data is **public** — no Google account is +required. :func:`looks_like_signin_wall` flags the rare responses where Google +serves a consent/sign-in interstitial instead of data, so callers can surface a +clear "sign-in required" error instead of silently returning nothing. +""" + +from __future__ import annotations + +import asyncio +import json +import logging +import time +from datetime import UTC, datetime +from typing import Any +from urllib.parse import quote + +from scrapling.fetchers import AsyncFetcher + +from app.utils.proxy import get_proxy_url + +from .parsers import brace_match_json +from .url_resolver import ResolvedUrl, extract_fid + +try: # browser tier is optional (needs patchright browsers installed) + from scrapling.fetchers import StealthyFetcher +except Exception: # pragma: no cover - import guard + StealthyFetcher = None # type: ignore[assignment] + +logger = logging.getLogger(__name__) + + +class SignInRequiredError(RuntimeError): + """Raised when Google serves a sign-in/consent wall instead of public data. + + Public Maps data does not need a Google account, so this is rare; when it + happens the route surfaces it as a clear "Google sign in required" error + rather than returning an empty result. + """ + + +def now_iso() -> str: + """UTC timestamp in the millisecond ISO shape Apify stamps on items.""" + return datetime.now(UTC).strftime("%Y-%m-%dT%H:%M:%S.%f")[:-3] + "Z" + + +async def gather_bounded(coro_factories, *, concurrency: int) -> list: + """Run zero-arg async callables with bounded concurrency, results in order. + + Takes callables (``() -> awaitable``), not live coroutines, so nothing + starts until a semaphore slot frees up — lets callers queue far more work + than ``concurrency`` without opening every socket at once. Every RPC here + is ~2s of proxy round-trip, so overlapping independent ones is the single + biggest lever on wall-clock time. + """ + if not coro_factories: + return [] + sem = asyncio.Semaphore(concurrency) + + async def _run(factory): + async with sem: + return await factory() + + return await asyncio.gather(*(_run(f) for f in coro_factories)) + + +# XSSI guard Google prepends to its RPC JSON responses. +_XSSI_PREFIX = ")]}'" + +# Consent cookie to dodge the EU consent interstitial that otherwise returns a +# page with no APP_INITIALIZATION_STATE. Mirrors the YouTube fetcher's SOCS. +CONSENT_COOKIES = { + "SOCS": "CAISNQgDEitib3FfaWRlbnRpdHlmcm9udGVuZHVpc2VydmVyXzIwMjMwODI5LjA3X3AxGgJlbiADGgYIgOa_pgY", +} + +_HEADERS = {"Accept-Language": "en-US,en;q=0.9"} + + +def looks_like_signin_wall(html_or_text: str | None) -> bool: + """Heuristic: did Google serve a sign-in / consent wall instead of data? + + Public Maps data never needs login, so this should be rare — it mainly + fires on consent redirects (``consent.google.com``) or an account-picker + page. Callers turn a True here into a clear "sign-in required" error. + """ + if not html_or_text: + return False + text = html_or_text[:5000].lower() + markers = ( + "consent.google.com", + "accounts.google.com/servicelogin", + "sign in to continue", + "before you continue to google", + ) + return any(m in text for m in markers) + + +def strip_xssi(text: str) -> str: + """Return the JSON body after Google's ``)]}'`` anti-XSSI guard. + + The guard is normally at position 0, but a proxy/HTML fetcher may wrap the + text/plain body in ``<html><body><p>…`` — so we locate the guard rather than + require it at the start, then return everything after its line. + """ + idx = text.find(_XSSI_PREFIX) + if idx == -1: + return text + nl = text.find("\n", idx) + return text[nl + 1 :] if nl != -1 else text[idx + len(_XSSI_PREFIX) :] + + +async def resolve_fid(resolved: ResolvedUrl) -> str | None: + """Get a place's feature ID: from the URL if present, else from its HTML. + + A ``/maps/place/...`` URL usually embeds the fid in its ``data=`` blob. A + ``?q=place_id:...`` URL or a shortlink does not, so we fetch the page once + and pull the fid out of the returned HTML. Raises :class:`SignInRequiredError` + if Google serves a consent/sign-in wall instead of the page. + """ + if resolved.fid: + return resolved.fid + # Short links (maps.app.goo.gl / goo.gl) are Firebase Dynamic Links: a plain + # GET only returns a JS interstitial, so render it — the JS follows the + # redirect to the real /maps/place/… URL, from which we read the fid. + # ponytail: browser render is slow (~30s) but it's the only way these + # links resolve; they're rare and cached downstream by fid. + if resolved.kind == "shortlink": + rendered = await _fetch_html_stealthy(resolved.url, dict(CONSENT_COOKIES)) + return extract_fid(rendered) if rendered else None + html = await fetch_html(resolved.url) + if html is not None: + if looks_like_signin_wall(html): + raise SignInRequiredError( + f"Google returned a sign-in/consent wall for {resolved.url}" + ) + fid = extract_fid(html) + if fid: + return fid + # Name-only place URLs (e.g. /maps/place/Eiffel+Tower/) serve a JS-only + # shell whose static HTML never contains the fid (even a headless render + # won't navigate to the place). The lite ``tbm=map`` search endpoint DOES + # embed fids in plain HTML, so look the name up there instead. + if resolved.kind == "place" and resolved.value and resolved.value != resolved.url: + return await fid_from_search(resolved.value) + return None + + +async def fid_from_search(query: str, *, language: str = "en") -> str | None: + """Resolve a free-text place name to its feature ID via ``tbm=map`` search. + + This is the lite map-search page (the same endpoint the search-discovery + flow will paginate later); its static HTML embeds every result's fid. + ``ponytail:`` takes the first fid in the page — that's the top-ranked + result. Good enough for name lookups; the full search flow will parse the + structured payload instead. + """ + url = f"https://www.google.com/search?tbm=map&hl={language}&gl=us&q={quote(query)}" + html = await fetch_html(url) + if html is None: + return None + if looks_like_signin_wall(html): + raise SignInRequiredError( + f"Google returned a sign-in/consent wall for map search {query!r}" + ) + return extract_fid(html) + + +async def fetch_html(url: str, *, cookies: dict[str, str] | None = None) -> str | None: + """GET a Google Maps page and return raw HTML (proxy, stealthy fallback).""" + merged = {**CONSENT_COOKIES, **(cookies or {})} + try: + started = time.perf_counter() + page = await AsyncFetcher.get( + url, + headers=_HEADERS, + cookies=merged, + proxy=get_proxy_url(), + stealthy_headers=True, + ) + fetch_ms = (time.perf_counter() - started) * 1000 + logger.info( + "[google_maps][perf] source=html url=%s status=%s fetch_ms=%.1f", + url, + page.status, + fetch_ms, + ) + if page.status == 200: + return page.html_content + logger.warning("Maps HTML GET %s returned %s", url, page.status) + except Exception as e: + logger.warning("Maps HTML GET %s failed: %s", url, e) + return await _fetch_html_stealthy(url, merged) + + +async def _fetch_html_stealthy(url: str, cookies: dict[str, str]) -> str | None: + """Last-resort browser fetch for anti-bot walls (mirrors the YouTube tier).""" + if StealthyFetcher is None: + return None + try: + started = time.perf_counter() + page = await asyncio.to_thread( + StealthyFetcher.fetch, + url, + headless=True, + network_idle=True, + solve_cloudflare=True, + proxy=get_proxy_url(), + ) + fetch_ms = (time.perf_counter() - started) * 1000 + logger.info( + "[google_maps][perf] source=html tier=stealthy url=%s status=%s fetch_ms=%.1f", + url, + page.status, + fetch_ms, + ) + if page.status == 200: + return page.html_content + logger.warning("Maps HTML GET %s tier=stealthy returned %s", url, page.status) + except Exception as e: + logger.warning("Maps HTML GET %s tier=stealthy failed: %s", url, e) + return None + + +# Place-detail RPC field selector (protobuf-over-URL). ``{fid}`` is the place's +# feature ID (hex:hex). This is the selector the Maps web app itself sends when +# rendering a place page (captured live via a headless browser, then +# genericized: the free-text ``!2s`` name and per-place ``!15m2…!4s/g/…`` kgmid +# hint dropped with counts adjusted, coords zeroed, and the ``!14m3!1s<EI>`` +# session token replaced with a filler — verified the token value is not +# checked). Combined with an NID session cookie it returns the FULL payload: +# reviewsCount, reviews distribution, popular times, image galleries, review +# tags, and every about section. The returned ``jd[6]`` is the ``darray`` +# parsers read. +_PLACE_DETAIL_PB = ( + "!1m13!1s{fid}" + "!3m8!1m3!1d5000!2d0!3d0!3m2!1i1024!2i768!4f13.1" + "!4m2!3d0!4d0" + "!12m4!2m3!1i360!2i120!4i8" + "!13m57!2m2!1i203!2i100!3m2!2i4!5b1" + "!6m6!1m2!1i86!2i86!1m2!1i408!2i240" + "!7m33!1m3!1e1!2b0!3e3!1m3!1e2!2b1!3e2!1m3!1e2!2b0!3e3" + "!1m3!1e8!2b0!3e3!1m3!1e10!2b0!3e3!1m3!1e10!2b1!3e2" + "!1m3!1e10!2b0!3e4!1m3!1e9!2b1!3e2!2b1!9b0" + "!15m8!1m7!1m2!1m1!1e2!2m2!1i195!2i195!3i20" + "!14m3!1s0ahUKEwixxxxxxxxxxxxxxxxxxxxxxxxx!7e81!15i10112" + "!15m108!1m26!13m9!2b1!3b1!4b1!6i1!8b1!9b1!14b1!20b1!25b1" + "!18m15!3b1!4b1!5b1!6b1!13b1!14b1!17b1!21b1!22b1!30b1!32b1!33m1!1b1!34b1!36e2" + "!10m1!8e3!11m1!3e1!17b1!20m2!1e3!1e6!24b1!25b1!26b1!27b1!29b1" + "!30m1!2b1!36b1!37b1!39m3!2m2!2i1!3i1!43b1!52b1!54m1!1b1!55b1!56m1!1b1" + "!61m2!1m1!1e1!65m5!3m4!1m3!1m2!1i224!2i298" + "!72m22!1m8!2b1!5b1!7b1!12m4!1b1!2b1!4m1!1e1!4b1" + "!8m10!1m6!4m1!1e1!4m1!1e3!4m1!1e4" + "!3sother_user_google_review_posts__and__hotel_and_vr_partner_review_posts" + "!6m1!1e1!9b1!89b1!90m2!1m1!1e2!98m3!1b1!2b1!3b1!103b1!113b1" + "!114m3!1b1!2m1!1b1!117b1!122m1!1b1!126b1!127b1!128m1!1b0" + "!21m0!22m1!1e81!30m8!3b1!6m2!1b1!2b1!7m2!1e3!2b1!9b1" + "!34m5!7b1!10b1!14b1!15m1!1b0!37i785" +) + +# NID session cookie pool. Google trims the rich detail fields (counts, +# distribution, popular times, galleries, tags, most about sections) from +# responses that carry no session cookie; a plain GET to /maps mints an NID +# that unlocks them — no login, no browser. A small pool is rotated +# round-robin (mirrors the YouTube fetcher's ``_RotatingSession``) so no +# single session accumulates the whole request volume; each expires after a +# TTL and is re-minted lazily. +_NID_TTL_S = 30 * 60 +_NID_POOL_SIZE = 3 +_nid_pool: list[dict[str, Any]] = [ + {"value": None, "at": 0.0} for _ in range(_NID_POOL_SIZE) +] +_nid_rr = 0 +_nid_lock = asyncio.Lock() +_nid_inflight: asyncio.Future | None = None + + +async def _mint_nid() -> str | None: + """Mint a fresh NID session cookie with a plain GET to /maps.""" + try: + page = await AsyncFetcher.get( + "https://www.google.com/maps?hl=en", + headers=_HEADERS, + cookies=CONSENT_COOKIES, + proxy=get_proxy_url(), + stealthy_headers=True, + ) + return (page.cookies or {}).get("NID") + except Exception as e: + logger.warning("NID mint failed: %s", e) + return None + + +async def get_session_cookies() -> dict[str, str]: + """Consent cookies plus an NID session cookie from the rotating pool. + + Concurrent cold callers coalesce onto a single in-flight mint (the lock is + not held across the network call), so a burst of parallel detail fetches + doesn't serialize behind N sequential ~2s mints on a cold pool. + """ + global _nid_rr, _nid_inflight + async with _nid_lock: + slot = _nid_pool[_nid_rr % _NID_POOL_SIZE] + _nid_rr += 1 + if slot["value"] and time.time() - slot["at"] < _NID_TTL_S: + return {**CONSENT_COOKIES, "NID": slot["value"]} + if _nid_inflight is None or _nid_inflight.done(): + _nid_inflight = asyncio.ensure_future(_mint_nid()) + fut = _nid_inflight + nid = await fut + if nid: + async with _nid_lock: + slot["value"] = nid + slot["at"] = time.time() + return {**CONSENT_COOKIES, "NID": nid} + return dict(CONSENT_COOKIES) + + +async def fetch_place_darray(fid: str, *, language: str = "en") -> list | None: + """Fetch a place's detail ``darray`` via the ``/maps/preview/place`` RPC. + + ``fid`` is the feature ID (``0x..:0x..``). Returns ``jd[6]`` (the array all + place-field paths index into), or ``None`` on failure. Sent with an NID + session cookie so Google returns the full payload (see ``_PLACE_DETAIL_PB``). + """ + pb = _PLACE_DETAIL_PB.format(fid=fid) + url = ( + "https://www.google.com/maps/preview/place" + f"?authuser=0&hl={language}&gl=us&pb={quote(pb, safe='!')}" + ) + jd = await fetch_rpc_json(url, cookies=await get_session_cookies()) + darray = jd[6] if isinstance(jd, list) and len(jd) > 6 else None + return darray if isinstance(darray, list) else None + + +# Map-search RPC (``search?tbm=map``) field selector. Viewport block first +# (``!1d`` diameter-meters, ``!2d`` lng, ``!3d`` lat), then paging (``!7i`` +# per-page, ``!8i`` offset), then the same detail selector blocks the place RPC +# uses so each result embeds a full place darray at ``entry[14]``. +_SEARCH_PB = ( + "!4m12!1m3!1d{diameter}!2d{lng}!3d{lat}" + "!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1" + "!7i{per_page}!8i{offset}!10b1" + "!12m6!1m1!18b1!2m1!20e3!6m1!114b1" + "!17m1!3e1" + "!20m57!2m2!1i203!2i100!3m2!2i4!5b1" + "!6m6!1m2!1i86!2i86!1m2!1i408!2i240" + "!7m33!1m3!1e1!2b0!3e3!1m3!1e2!2b1!3e2!1m3!1e2!2b0!3e3" + "!1m3!1e8!2b0!3e3!1m3!1e10!2b0!3e3!1m3!1e10!2b1!3e2" + "!1m3!1e10!2b0!3e4!1m3!1e9!2b1!3e2!2b1!9b0" + "!15m8!1m7!1m2!1m1!1e2!2m2!1i195!2i195!3i20" +) + +# Whole-earth viewport: Google localizes from the query text itself (verified +# live — "pizza new york" returns NYC results with this viewport), so callers +# only need coordinates when the input provides an explicit geolocation. +_EARTH = {"diameter": 25_000_000.0, "lat": 0.0, "lng": 0.0} + + +def build_search_url( + query: str, + *, + offset: int = 0, + per_page: int = 20, + language: str = "en", + lat: float | None = None, + lng: float | None = None, + radius_m: float | None = None, +) -> str: + """Build a ``search?tbm=map`` URL returning protobuf-over-JSON results.""" + viewport = dict(_EARTH) + if lat is not None and lng is not None: + viewport = { + "diameter": (radius_m or 10_000) * 2, + "lat": lat, + "lng": lng, + } + pb = _SEARCH_PB.format(per_page=per_page, offset=offset, **viewport) + return ( + f"https://www.google.com/search?tbm=map&authuser=0&hl={language}&gl=us" + f"&q={quote(query)}&pb={quote(pb, safe='!')}" + ) + + +def _search_darrays(jd: Any) -> list[list]: + """Extract the place darrays from a map-search response. + + Results live at ``jd[0][1]``; each result entry holds its place darray at + ``entry[14]`` (same shape as the place detail RPC's ``jd[6]``). Multi-result + pages put metadata (no ``[14]``) in slot 0; single-match responses put the + one place directly in slot 0 — scanning every entry handles both. + """ + entries = ( + jd[0][1] + if isinstance(jd, list) and jd and isinstance(jd[0], list) and len(jd[0]) > 1 + else None + ) + if not isinstance(entries, list): + return [] + out = [] + for entry in entries: + darray = entry[14] if isinstance(entry, list) and len(entry) > 14 else None + if isinstance(darray, list): + out.append(darray) + return out + + +async def iter_search_pages( + query: str, + *, + language: str = "en", + lat: float | None = None, + lng: float | None = None, + radius_m: float | None = None, + max_pages: int = 25, + prefetch: int = 1, +): + """Yield lists of place darrays, one map-search page (~20 places) a time. + + Paging is offset-based (``!8i``); Google reshuffles results between pages + so callers must dedupe by fid. Stops on an empty page or ``max_pages``. + + ``prefetch`` pages are fetched concurrently per wave (still yielded in + offset order): each page is a ~2s round-trip, so a caller that knows it + needs several pages (large ``maxCrawledPlacesPerSearch``) gets them + overlapped. ``prefetch=1`` keeps the old one-at-a-time behavior for callers + that only need a page or two (no wasted fetches). + """ + per_page = 20 + page = 0 + while page < max_pages: + wave = min(max(prefetch, 1), max_pages - page) + urls = [ + build_search_url( + query, + offset=(page + i) * per_page, + per_page=per_page, + language=language, + lat=lat, + lng=lng, + radius_m=radius_m, + ) + for i in range(wave) + ] + pages = await gather_bounded( + [lambda u=u: fetch_rpc_json(u) for u in urls], concurrency=wave + ) + for jd in pages: + darrays = _search_darrays(jd) + if not darrays: + return + yield darrays + page += wave + + +# Sort code the reviews RPC expects (slot 1 of the request payload). +REVIEWS_SORT_CODES = { + "mostRelevant": 1, + "newest": 2, + "highestRanking": 3, + "lowestRanking": 4, +} + +# Reviews are cursor-paged (each page's continuation token embeds the previous +# page's last-review key + a signature), so pages CANNOT be fetched in +# parallel — the only lever on review throughput is page size. Google honors +# this on both the first and continuation requests but caps the actual return +# at ~60/page (asking higher just yields the max), so 100 grabs the ceiling and +# cuts the sequential round-trips ~3x vs the old 10/20-per-page default. +_REVIEWS_PAGE_SIZE = 100 + + +def build_reviews_url( + fid: str, *, sort_code: int, page_token: str = "", language: str = "en" +) -> str: + """Build a ``GetLocalBoqProxy`` reviews URL (public, no session token). + + This is the review feed the Google search local panel uses. The older + ``listugcposts`` / ``listentitiesreviews`` RPCs now return empty pages for + anonymous callers, so this proxy is the one that still works (approach from + the maintained ``google-maps-review-scraper`` npm package). + + ``fid`` is the feature ID (``0x..:0x..``); ``page_token`` is the opaque + continuation token from the previous page (empty for the first page). + """ + inner: list = [None] * 12 + inner[1] = sort_code + inner[9] = _REVIEWS_PAGE_SIZE + inner[11] = [fid] + if page_token: + inner.extend([None] * 8) + inner[19] = page_token + payload = [None, [None] * 9 + [inner]] + return ( + "https://www.google.com/httpservice/web/PrivateLocalSearchUiDataService/" + f"GetLocalBoqProxy?msc=gwsrpc&hl={language}" + f"&reqpld={quote(json.dumps(payload))}" + ) + + +def _reviews_node(jd: Any) -> list | None: + """The reviews node of a BOQ response: ``jd[1][10]`` = [.., reviews, .., token].""" + node = ( + jd[1][10] + if isinstance(jd, list) + and len(jd) > 1 + and isinstance(jd[1], list) + and len(jd[1]) > 10 + else None + ) + return node if isinstance(node, list) else None + + +async def iter_reviews_pages( + fid: str, + *, + sort: str = "newest", + language: str = "en", + max_pages: int = 10_000, +): + """Yield raw review arrays, one RPC page (~10 reviews) at a time. + + Each yielded item is the page's review list (``node[2]``). Pagination + follows ``node[6]`` (the continuation token); stops when it is missing or + unchanged, or ``max_pages`` is reached. ``ponytail:`` sequential paging — + the endpoint only hands out one continuation token at a time anyway. + """ + sort_code = REVIEWS_SORT_CODES.get(sort, 2) + page_token = "" + for _ in range(max_pages): + url = build_reviews_url( + fid, sort_code=sort_code, page_token=page_token, language=language + ) + node = _reviews_node(await fetch_rpc_json(url)) + if not node or len(node) < 3 or not isinstance(node[2], list): + return + yield node[2] + next_token = node[6] if len(node) > 6 else None + if ( + not isinstance(next_token, str) + or not next_token + or next_token == page_token + ): + return + page_token = next_token + + +async def fetch_rpc_json( + url: str, *, cookies: dict[str, str] | None = None +) -> Any | None: + """GET a Maps ``/maps/preview/*`` RPC URL and return parsed JSON. + + These endpoints return an XSSI-guarded JSON array (not HTML). Returns the + decoded structure, or ``None`` on failure / non-JSON (e.g. a sign-in wall). + """ + try: + started = time.perf_counter() + page = await AsyncFetcher.get( + url, + headers=_HEADERS, + cookies=cookies or CONSENT_COOKIES, + proxy=get_proxy_url(), + stealthy_headers=True, + ) + fetch_ms = (time.perf_counter() - started) * 1000 + logger.info( + "[google_maps][perf] source=rpc url=%s status=%s fetch_ms=%.1f", + url, + page.status, + fetch_ms, + ) + if page.status != 200: + logger.warning("Maps RPC GET %s returned %s", url, page.status) + return None + text = page.html_content + if looks_like_signin_wall(text): + logger.warning("Maps RPC GET %s hit a sign-in/consent wall", url) + return None + # brace_match_json is a pure-Python scan and review payloads reach + # ~1MB; decode off-loop so it can't stall concurrent requests. + return await asyncio.to_thread(_decode_rpc_body, text) + except Exception as e: + logger.warning("Maps RPC GET %s failed: %s", url, e) + return None + + +def _decode_rpc_body(text: str) -> Any | None: + """Strip the XSSI guard and decode the balanced top-level JSON blob.""" + body = strip_xssi(text) + # The proxy/HTML fetcher may wrap the JSON in <html><body><p>…</p>…, + # so extract just the balanced top-level array/object. + start = next((i for i, c in enumerate(body) if c in "[{"), -1) + if start == -1: + return None + blob = brace_match_json(body, start) + return json.loads(blob) if blob else None diff --git a/surfsense_backend/app/proprietary/platforms/google_maps/parsers.py b/surfsense_backend/app/proprietary/platforms/google_maps/parsers.py new file mode 100644 index 000000000..3ae62c653 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_maps/parsers.py @@ -0,0 +1,526 @@ +"""Pure, I/O-free parsing of Google Maps' protobuf-over-JSON place data. + +Google Maps returns a place's data as a deeply-nested JSON array (no field +names, just positions) from the ``/maps/preview/place`` RPC (element ``jd[6]``, +the ``darray``). Fields are read by fixed array paths. + +The array paths are ported from the actively-maintained ``gosom/google-maps- +scraper`` (Go), which tracks Google's periodic structure shifts and carries +fallback paths (e.g. the Nov-2025 opening-hours move). Everything here is +deterministic and offline-unit-testable against captured fixtures. +""" + +from __future__ import annotations + +import logging +import re +from typing import Any + +logger = logging.getLogger(__name__) + + +def dig(obj: Any, *path: int) -> Any: + """Safely walk a nested list by integer indices; ``None`` if any step misses. + + The Python twin of gosom's ``getNthElementAndCast`` — Maps arrays are ragged + and shift between updates, so every access must tolerate a short/absent path. + """ + cur = obj + for idx in path: + if not isinstance(cur, list) or idx >= len(cur) or cur[idx] is None: + return None + cur = cur[idx] + return cur + + +def _dig_str(obj: Any, *path: int) -> str | None: + val = dig(obj, *path) + return val if isinstance(val, str) else None + + +def _dig_num(obj: Any, *path: int) -> float | None: + val = dig(obj, *path) + return val if isinstance(val, int | float) else None + + +def brace_match_json(text: str, start: int) -> str | None: + """Return the balanced ``[...]`` / ``{...}`` blob beginning at ``text[start]``.""" + open_ch = text[start] + close_ch = {"[": "]", "{": "}"}.get(open_ch) + if close_ch is None: + return None + depth = 0 + i = start + n = len(text) + while i < n: + ch = text[i] + if ch == open_ch: + depth += 1 + elif ch == close_ch: + depth -= 1 + if depth == 0: + return text[start : i + 1] + elif ch == '"': + i += 1 + while i < n and text[i] != '"': + if text[i] == "\\": + i += 1 + i += 1 + i += 1 + return None + + +def _opening_hours(darray: list) -> list[dict[str, str]]: + """Weekly hours. New layout (Nov 2025) at [203][0], old at [34][1].""" + items = dig(darray, 203, 0) or dig(darray, 34, 1) or [] + hours: list[dict[str, str]] = [] + for item in items if isinstance(items, list) else []: + day = _dig_str(item, 0) + if not day: + continue + slots = dig(item, 3) # new format: [ [label, [[h,m],[h,m]]], ... ] + times: list[str] = [] + if isinstance(slots, list) and slots: + times = [_dig_str(s, 0) for s in slots if _dig_str(s, 0)] + else: # old format: [1] is a flat list of strings + old = dig(item, 1) + times = ( + [t for t in old if isinstance(t, str)] if isinstance(old, list) else [] + ) + hours.append({"day": day, "hours": ", ".join(times) if times else "Closed"}) + return hours + + +def _categories(darray: list) -> list[str]: + cats = dig(darray, 13) + return [c for c in cats if isinstance(c, str)] if isinstance(cats, list) else [] + + +def _website(darray: list) -> str | None: + raw = _dig_str(darray, 7, 0) + if raw and raw.startswith("/url?q="): # Google redirect wrapper + from urllib.parse import parse_qs, urlparse + + q = parse_qs(urlparse(raw).query).get("q", [None])[0] + return q or raw + return raw + + +def _additional_info(darray: list) -> dict[str, Any] | None: + """About sections (``darray[100][1]``) in Apify's ``additionalInfo`` shape: + ``{"Accessibility": [{"Wheelchair accessible entrance": true}, ...], ...}``. + + Option paths mirror gosom's About parser; enabled state is + ``option[2][1][0][0] == 1``. + """ + sections = dig(darray, 100, 1) + if not isinstance(sections, list): + return None + info: dict[str, Any] = {} + for section in sections: + name = _dig_str(section, 1) + options = dig(section, 2) + if not name or not isinstance(options, list): + continue + entries = [] + for opt in options: + opt_name = _dig_str(opt, 1) + if opt_name: + entries.append({opt_name: dig(opt, 2, 1, 0, 0) == 1}) + if entries: + info[name] = entries + return info or None + + +def _link_sources(items: Any, link_path: tuple, source_path: tuple) -> list[dict]: + """Extract ``[{"url":…, "source":…}]`` pairs from a link-source array.""" + out = [] + for item in items if isinstance(items, list) else []: + url = _dig_str(item, *link_path) + source = _dig_str(item, *source_path) + if url and source: + out.append({"url": url, "source": source}) + return out + + +def _order_links(darray: list) -> list[dict]: + """Order-online providers (paths from gosom, two known layouts).""" + items = dig(darray, 75, 0, 1, 2) or dig(darray, 75, 0, 0, 2) + return _link_sources(items, (1, 2, 0), (0, 0)) + + +# Day numbers Google uses in the popular-times block (gosom's mapping), +# rendered as Apify's two-letter histogram keys. +_DAY_KEYS = {1: "Mo", 2: "Tu", 3: "We", 4: "Th", 5: "Fr", 6: "Sa", 7: "Su"} + + +def _popular_times(darray: list) -> dict[str, Any]: + """Popular-times block (``darray[84]``) in Apify's field shapes. + + ``[84][0]`` is a list of ``[day_num, [[hour, occupancy%, …], …]]`` days; + ``[84][6]`` is the live busyness text and ``[84][7][1]`` the live percent. + """ + out: dict[str, Any] = {} + days = dig(darray, 84, 0) + if isinstance(days, list): + histogram: dict[str, list] = {} + for day in days: + key = _DAY_KEYS.get(dig(day, 0)) + hours = dig(day, 1) + if not key or not isinstance(hours, list): + continue + histogram[key] = [ + {"hour": h[0], "occupancyPercent": h[1]} + for h in hours + if isinstance(h, list) and len(h) >= 2 + ] + if histogram: + out["popularTimesHistogram"] = histogram + live_text = _dig_str(darray, 84, 6) + if live_text: + out["popularTimesLiveText"] = live_text + live_pct = _dig_num(darray, 84, 7, 1) + if live_pct is not None: + out["popularTimesLivePercent"] = int(live_pct) + return out + + +def _reviews_tags(darray: list) -> list[dict]: + """Review keyword tags (``darray[153][0]``): ``[{title, count}, …]``.""" + entries = dig(darray, 153, 0) + out = [] + for e in entries if isinstance(entries, list) else []: + title = _dig_str(e, 1) + count = _dig_num(e, 3, 4) + if title and count is not None: + out.append({"title": title, "count": int(count)}) + return out + + +def _image_fields(darray: list) -> dict[str, Any]: + """Image gallery fields: count, category tab names, and photo URLs. + + ``darray[37]`` holds ``[hero_photos, total_count]``; ``darray[171][0]`` + holds the gallery tabs (each with a thumbnail). ``ponytail:`` anonymous + sessions only expose the few hero photos + one thumbnail per tab, not the + full gallery — scraping thousands of photos would need the signed-in + photo-listing RPC. ``imageUrls`` therefore tops out around a dozen. + """ + out: dict[str, Any] = {} + count = _dig_num(darray, 37, 1) + if count is not None: + out["imagesCount"] = int(count) + tabs = dig(darray, 171, 0) + urls: list[str] = [] + if isinstance(tabs, list): + categories = [t for tab in tabs if (t := _dig_str(tab, 2))] + if categories: + out["imageCategories"] = categories + urls.extend( + u for tab in tabs if (u := _dig_str(tab, 3, 0, 6, 0)) and u not in urls + ) + heroes = dig(darray, 37, 0) + for photo in heroes if isinstance(heroes, list) else []: + u = _dig_str(photo, 6, 0) + if u and u not in urls: + urls.append(u) + if urls: + out["imageUrls"] = urls + return out + + +def _hotel_fields(darray: list) -> dict[str, Any]: + """Hotel block (``darray[35]`` + ``[64]``), only present for lodging. + + Paths probed live on The Plaza (NYC): ``[35][6]`` star string, + ``[35][0]/[1]`` the check-in/out dates the price quotes are for, + ``[35][29][0]`` similar hotels, ``[35][44]`` booking-partner ads. + """ + stars = _dig_str(darray, 35, 6) or ( + f"{int(n)} stars" if (n := _dig_num(darray, 64, 0)) else None + ) + if not stars: + return {} + out: dict[str, Any] = {"hotelStars": stars} + description = _dig_str(darray, 32, 1, 1) + if description: + out["hotelDescription"] = description + check_in = _dig_str(darray, 35, 0) + check_out = _dig_str(darray, 35, 1) + if check_in: + out["checkInDate"] = check_in + if check_out: + out["checkOutDate"] = check_out + + similar = [] + for entry in dig(darray, 35, 29, 0) or []: + info = dig(entry, 0) + title = _dig_str(info, 4) + if not title: + continue + hotel: dict[str, Any] = {"title": title, "fid": _dig_str(info, 2)} + if (score := _dig_num(info, 7)) is not None: + hotel["totalScore"] = score + if (count := _dig_num(info, 8)) is not None: + hotel["reviewsCount"] = int(count) + lat, lng = _dig_num(info, 3, 2), _dig_num(info, 3, 3) + if lat is not None and lng is not None: + hotel["location"] = {"lat": lat, "lng": lng} + if desc := _dig_str(entry, 1): + hotel["description"] = desc + similar.append(hotel) + if similar: + out["similarHotelsNearby"] = similar + + ads = [] + for ad in dig(darray, 35, 44) or []: + title = _dig_str(ad, 0) + url = _dig_str(ad, 5, 0) + if not title or not url: + continue + item: dict[str, Any] = {"title": title, "url": url} + if price := _dig_str(ad, 1): + item["price"] = price + ads.append(item) + if ads: + out["hotelAds"] = ads + return out + + +def _cid_from_fid(fid: str | None) -> str | None: + """CID (a.k.a. ludocid) = the decimal value of the fid's second hex half.""" + if not fid or ":" not in fid: + return None + try: + return str(int(fid.split(":")[1], 16)) + except ValueError: + return None + + +def parse_place(darray: list) -> dict[str, Any]: + """Map a place ``darray`` to PlaceItem-shaped fields (public Maps data only). + + Only fields with a stable, known array path are populated; the rest stay at + their schema defaults. Paths mirror gosom's ``EntryFromJSON``. + """ + lat = _dig_num(darray, 9, 2) + lng = _dig_num(darray, 9, 3) + dist = dig(darray, 175, 3) # per-star review counts [1★,2★,3★,4★,5★] + + result: dict[str, Any] = { + "title": _dig_str(darray, 11), + "categories": _categories(darray), + "address": _dig_str(darray, 18), + "website": _website(darray), + "phone": _dig_str(darray, 178, 0, 0), + "plusCode": _dig_str(darray, 183, 2, 2, 0), + "totalScore": _dig_num(darray, 4, 7), + "reviewsCount": (int(v) if (v := _dig_num(darray, 4, 8)) is not None else None), + "price": _dig_str(darray, 4, 2), + "description": _dig_str(darray, 32, 1, 1), + "placeId": _dig_str(darray, 78), + "fid": _dig_str(darray, 10), + "kgmid": _dig_str(darray, 89), + "menu": _dig_str(darray, 38, 0), + "imageUrl": _dig_str(darray, 72, 0, 1, 6, 0), + "additionalInfo": _additional_info(darray), + } + result["cid"] = _cid_from_fid(result["fid"]) + + reservations = _link_sources(dig(darray, 46), (0,), (1,)) + if reservations: + result["tableReservationLinks"] = reservations + result["reserveTableUrl"] = reservations[0]["url"] + order_links = _order_links(darray) + if order_links: + result["orderBy"] = order_links # Apify's field name for these + food = next( + (o["url"] for o in order_links if "food.google.com" in o["url"]), None + ) + if food: + result["googleFoodUrl"] = food + if result["categories"]: + result["categoryName"] = result["categories"][0] + if lat is not None and lng is not None: + result["location"] = {"lat": lat, "lng": lng} + if isinstance(dist, list) and len(dist) >= 5: + result["reviewsDistribution"] = { + "oneStar": int(dist[0] or 0), + "twoStar": int(dist[1] or 0), + "threeStar": int(dist[2] or 0), + "fourStar": int(dist[3] or 0), + "fiveStar": int(dist[4] or 0), + } + hours = _opening_hours(darray) + if hours: + result["openingHours"] = hours + + result.update(_popular_times(darray)) + result.update(_image_fields(darray)) + result.update(_hotel_fields(darray)) + tags = _reviews_tags(darray) + if tags: + result["reviewsTags"] = tags + + # Closed status: darray[88][0] carries a status enum for closed places + # ('CLOSED' verified live on a permanently-closed place; open places have + # None or an editorial snippet there, so only exact enums count). + status = _dig_str(darray, 88, 0) + if status in ("CLOSED", "CLOSED_PERMANENTLY"): + result["permanentlyClosed"] = True + elif status == "CLOSED_TEMPORARILY": + result["temporarilyClosed"] = True + + # Complete address components (borough/street/city/postal/state/country). + result["neighborhood"] = _dig_str(darray, 183, 1, 0) + result["street"] = _dig_str(darray, 183, 1, 1) + result["city"] = _dig_str(darray, 183, 1, 3) + result["postalCode"] = _dig_str(darray, 183, 1, 4) + result["state"] = _dig_str(darray, 183, 1, 5) + result["countryCode"] = _dig_str(darray, 183, 1, 6) + + return {k: v for k, v in result.items() if v is not None} + + +# --- reviews (GetLocalBoqProxy) ---------------------------------------------- +# +# The BOQ proxy returns ``jd[1][10]`` = ``[.., reviews, .., nextToken]``. Each +# review ``r`` is a flat ~48-slot array. Index map (verified against live +# captures, matching the ``google-maps-review-scraper`` npm package): +# r[1] stars r[2] [relativeDate, ?, publishedMs] +# r[3] [name, photoUrl, contribUrl, nReviews, nPhotos, [?, localGuide]] +# r[4] owner reply [?, relativeDate, text, ...] +# r[5] reviewId r[12] reviewUrl +# r[13]/r[14] images [[url, caption, ...], ...] +# r[26] language r[27] text r[28] translated text +# r[30] guided Q&A (context + per-aspect ratings) r[44] [origin, ...] + + +_CONTRIB_ID_RE = re.compile(r"/contrib/(\d+)") + + +def _ms_to_iso(ms: Any) -> str | None: + """Convert a millisecond epoch (Google sends it as a string) to ISO-8601.""" + try: + ms_val = float(ms) + except (TypeError, ValueError): + return None + if not ms_val: + return None + from datetime import UTC, datetime + + try: + dt = datetime.fromtimestamp(ms_val / 1000, tz=UTC) + except (ValueError, OSError, OverflowError): + return None + return dt.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-3] + "Z" + + +def _review_images(r: Any) -> list[str]: + for idx in (13, 14): + imgs = dig(r, idx) + if isinstance(imgs, list): + urls = [_dig_str(imgs, j, 0) for j in range(len(imgs))] + return [u for u in urls if u] + return [] + + +def _guided_answers(r: Any) -> tuple[dict[str, Any], dict[str, Any]]: + """Split the guided Q&A block into (reviewContext, reviewDetailedRating). + + Entries with a numeric rating (``entry[11] = [n]``) are per-aspect ratings + (Food/Service/Atmosphere); entries with a chosen answer are context + (e.g. ``Order type: Take out``). + """ + context: dict[str, Any] = {} + detailed: dict[str, Any] = {} + block = dig(r, 30) + if not isinstance(block, list): + return context, detailed + for entry in block: + label = _dig_str(entry, 5) or _dig_str(entry, 1) + if not label: + continue + rating = _dig_num(entry, 11, 0) + if rating is not None: + detailed[label] = rating + continue + answer = _dig_str(entry, 2, 0, 0, 1) + if answer: + context[label] = answer + return context, detailed + + +def parse_review(r: Any) -> dict[str, Any] | None: + """Map one BOQ review array to ReviewFields-shaped fields. + + Returns ``None`` for malformed entries (no author block). + """ + if not isinstance(r, list): + return None + name = _dig_str(r, 3, 0) + if not name: + return None + + reviewer_url = _dig_str(r, 3, 2) + reviewer_id = None + if reviewer_url: + m = _CONTRIB_ID_RE.search(reviewer_url) + reviewer_id = m.group(1) if m else None + + n_reviews = _dig_num(r, 3, 3) + local_guide = _dig_num(r, 3, 5, 1) + text = _dig_str(r, 27) + translated = _dig_str(r, 28) + context, detailed = _guided_answers(r) + + fields: dict[str, Any] = { + "reviewId": _dig_str(r, 5), + "reviewUrl": _dig_str(r, 12), + "name": name, + "reviewerId": reviewer_id, + "reviewerUrl": reviewer_url, + "reviewerPhotoUrl": _dig_str(r, 3, 1), + "reviewerNumberOfReviews": int(n_reviews) if n_reviews is not None else None, + "isLocalGuide": bool(local_guide) if local_guide is not None else None, + "stars": _dig_num(r, 1), + "text": text, + "textTranslated": translated if translated and translated != text else None, + "publishAt": _dig_str(r, 2, 0), + "publishedAtDate": _ms_to_iso(dig(r, 2, 2)), + "originalLanguage": _dig_str(r, 26), + "reviewOrigin": _dig_str(r, 44, 0), + "reviewImageUrls": _review_images(r), + "reviewContext": context or None, + "reviewDetailedRating": detailed or None, + } + + # Owner response (r[4]); only a relative date is exposed here. + reply_text = _dig_str(r, 4, 2) + if reply_text: + fields["responseFromOwnerText"] = reply_text + fields["responseFromOwnerDate"] = _dig_str(r, 4, 1) + + return {k: v for k, v in fields.items() if v not in (None, [])} + + +def parse_reviews_page(reviews: Any) -> list[dict[str, Any]]: + """Parse one BOQ page's raw review list into ReviewFields dicts.""" + if not isinstance(reviews, list): + return [] + out = [] + for entry in reviews: + parsed = parse_review(entry) + if parsed: + out.append(parsed) + return out + + +def strip_personal_data(review: dict[str, Any]) -> dict[str, Any]: + """Drop reviewer identity fields (Apify ``personalData=false``). + + ``reviewId`` and the review content stay; name/id/url/photo are removed. + """ + for key in ("name", "reviewerId", "reviewerUrl", "reviewerPhotoUrl"): + review.pop(key, None) + return review diff --git a/surfsense_backend/app/proprietary/platforms/google_maps/reviews.py b/surfsense_backend/app/proprietary/platforms/google_maps/reviews.py new file mode 100644 index 000000000..ebf631ecf --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_maps/reviews.py @@ -0,0 +1,213 @@ +"""Orchestrator for the Google Maps Reviews scraper (Apify-compatible). + +Distinct from the places scraper: one flat output item per review (the review +fields merged with the parent place fields), per the Apify "Google Maps Reviews +Scraper" output schema. + +Reviews come from Google's public ``GetLocalBoqProxy`` review feed (no login, +~10 reviews per page, opaque continuation-token pagination). The place header +fields stamped onto each item come from the same ``/maps/preview/place`` RPC the +places scraper uses. +""" + +from __future__ import annotations + +import logging +from collections.abc import AsyncIterator +from datetime import datetime +from typing import Any + +from .fetch import fetch_place_darray, iter_reviews_pages, now_iso, resolve_fid +from .parsers import parse_place, parse_reviews_page, strip_personal_data +from .schemas import GoogleMapsReviewsInput, ReviewItem +from .url_resolver import ResolvedUrl, resolve_url + +logger = logging.getLogger(__name__) + +# Place header keys copied from a parsed place onto every ReviewItem. +_PLACE_KEYS = ( + "title", + "placeId", + "address", + "location", + "categories", + "categoryName", + "totalScore", + "reviewsCount", + "price", + "cid", + "fid", + "imageUrl", + "neighborhood", + "street", + "city", + "countryCode", + "postalCode", + "state", +) + + +def _parse_start_date(value: str | None) -> datetime | None: + """Parse ``reviewsStartDate`` (ISO date/datetime) into a UTC-naive cutoff.""" + if not value: + return None + try: + return datetime.fromisoformat(value.replace("Z", "+00:00")).replace(tzinfo=None) + except ValueError: + logger.warning("[google_maps] bad reviewsStartDate: %r", value) + return None + + +def _before_cutoff(review: dict[str, Any], cutoff: datetime) -> bool: + """True if a review predates the cutoff (newest-first stop condition).""" + iso = review.get("publishedAtDate") + if not iso: + return False + try: + when = datetime.fromisoformat(iso.replace("Z", "+00:00")).replace(tzinfo=None) + except ValueError: + return False + return when < cutoff + + +def _keep(review: dict[str, Any], *, filter_string: str, origin: str) -> bool: + """Apply Apify's reviewsFilterString / reviewsOrigin filters client-side.""" + if origin == "google" and (review.get("reviewOrigin") or "Google") != "Google": + return False + if filter_string: + text = (review.get("text") or "") + " " + (review.get("textTranslated") or "") + if filter_string.lower() not in text.lower(): + return False + return True + + +async def collect_place_reviews( + fid: str, + *, + max_reviews: int, + sort: str = "newest", + language: str = "en", + filter_string: str = "", + origin: str = "all", + personal_data: bool = True, + start_date: str | None = None, +) -> tuple[list[dict[str, Any]], int | None]: + """Page a place's reviews via the BOQ feed. + + Returns ``(reviews, exact_total_or_None)``. The feed does not expose the + place's total review count up front, so the total is only known when + pagination exhausts before ``max_reviews`` is hit (and no filters dropped + anything) — the common case for small/medium places. + """ + cutoff = _parse_start_date(start_date) + reviews: list[dict[str, Any]] = [] + seen = 0 + exhausted = True + filtered = False + + async for raw_page in iter_reviews_pages(fid, sort=sort, language=language): + stop = False + for review in parse_reviews_page(raw_page): + seen += 1 + if cutoff and _before_cutoff(review, cutoff): + stop = True + break + if not _keep(review, filter_string=filter_string, origin=origin): + filtered = True + continue + if not personal_data: + strip_personal_data(review) + reviews.append(review) + if len(reviews) >= max_reviews: + stop = True + break + if stop: + exhausted = False + break + + total = seen if exhausted and not filtered and cutoff is None else None + return reviews, total + + +async def _reviews_for_place( + resolved: ResolvedUrl, + *, + input_model: GoogleMapsReviewsInput, + input_place_id: str | None, + input_start_url: str | None, +) -> AsyncIterator[dict[str, Any]]: + """Page one place's reviews and yield a flat ReviewItem per review.""" + fid = await resolve_fid(resolved) + if not fid: + logger.warning("[google_maps] reviews: no feature id for %s", resolved.url) + return + + darray = await fetch_place_darray(fid, language=input_model.language) + place = parse_place(darray) if darray else {} + place_header = {k: place[k] for k in _PLACE_KEYS if k in place} + scraped_at = now_iso() + + reviews, total = await collect_place_reviews( + place.get("fid", fid), + max_reviews=input_model.maxReviews, + sort=input_model.reviewsSort, + language=input_model.language, + origin=input_model.reviewsOrigin, + personal_data=input_model.personalData, + start_date=input_model.reviewsStartDate, + ) + if total is not None and "reviewsCount" not in place_header: + place_header["reviewsCount"] = total + + for review in reviews: + item = ReviewItem(**{**place_header, **review}) + item.scrapedAt = scraped_at + item.language = input_model.language + item.inputPlaceId = input_place_id + item.inputStartUrl = input_start_url + item.url = place.get("url") or resolved.url + yield item.to_output() + + +async def iter_reviews( + input_model: GoogleMapsReviewsInput, +) -> AsyncIterator[dict[str, Any]]: + """Yield Apify-shaped review items for every startUrl and placeId.""" + for entry in input_model.startUrls: + resolved = resolve_url(entry.url) + if not resolved: + logger.warning("Reviews: unrecognized Google Maps URL: %s", entry.url) + continue + async for item in _reviews_for_place( + resolved, + input_model=input_model, + input_place_id=None, + input_start_url=entry.url, + ): + yield item + + for place_id in input_model.placeIds: + url = f"https://www.google.com/maps/place/?q=place_id:{place_id}" + resolved = ResolvedUrl("place", place_id, url) + async for item in _reviews_for_place( + resolved, + input_model=input_model, + input_place_id=place_id, + input_start_url=None, + ): + yield item + + +async def scrape_reviews( + input_model: GoogleMapsReviewsInput, *, limit: int | None = None +) -> list[dict[str, Any]]: + """Collect :func:`iter_reviews` into a list, honoring an optional guard.""" + from app.capabilities.core.progress import emit_progress + + results: list[dict[str, Any]] = [] + async for item in iter_reviews(input_model): + results.append(item) + emit_progress("scraping", current=len(results), total=limit, unit="review") + if limit is not None and len(results) >= limit: + break + return results diff --git a/surfsense_backend/app/proprietary/platforms/google_maps/schemas.py b/surfsense_backend/app/proprietary/platforms/google_maps/schemas.py new file mode 100644 index 000000000..e47477045 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_maps/schemas.py @@ -0,0 +1,360 @@ +# ruff: noqa: N815 - field names intentionally mirror the Apify camelCase spec +"""Apify-compatible input/output models for the Google Maps scraper. + +The models mirror the public Apify "Google Maps Scraper" and "Google Maps +Reviews Scraper" actor specs so the endpoints can be drop-ins. The skeleton +accepts the full input surface; output fields the implementation does not +source yet are emitted as ``None``/``[]``/``{}`` so parity is additive. + +Outputs use ``extra="allow"`` on purpose: it lets us grow the output shape +without breaking existing consumers, exactly like the YouTube scraper models. +""" + +from __future__ import annotations + +from typing import Any, Literal + +from pydantic import BaseModel, ConfigDict, Field + +SearchMatching = Literal["all", "only_includes", "only_exact"] +PlaceMinimumStars = Literal[ + "", "two", "twoAndHalf", "three", "threeAndHalf", "four", "fourAndHalf" +] +WebsiteFilter = Literal["allPlaces", "withWebsite", "withoutWebsite"] +ReviewsSort = Literal["newest", "mostRelevant", "highestRanking", "lowestRanking"] +ReviewsOrigin = Literal["all", "google"] +AllPlacesAction = Literal["", "all_places_no_search_ocr", "all_places_no_search_mouse"] + + +class StartUrl(BaseModel): + """A single direct URL entry (Apify passes ``{"url": ...}`` objects).""" + + model_config = ConfigDict(extra="allow") + + url: str + + +class SocialMediaEnrichment(BaseModel): + """Per-platform toggles for the social media profile enrichment add-on.""" + + model_config = ConfigDict(extra="allow") + + facebooks: bool = False + instagrams: bool = False + youtubes: bool = False + tiktoks: bool = False + twitters: bool = False + + +class GoogleMapsScrapeInput(BaseModel): + """Full Apify "Google Maps Scraper" input surface. + + Semantics follow Apify: ``maxCrawledPlacesPerSearch=None`` means "all + places"; add-on toggles default off; ``maxReviews``/``maxImages``/ + ``maxQuestions`` of ``0`` mean "fetch none of that type". + """ + + model_config = ConfigDict(extra="allow") + + # Discovery + searchStringsArray: list[str] = Field(default_factory=list) + locationQuery: str | None = None + startUrls: list[StartUrl] = Field(default_factory=list) + placeIds: list[str] = Field(default_factory=list) + allPlacesNoSearchAction: AllPlacesAction = "" + + # Caps / language + maxCrawledPlacesPerSearch: int | None = Field(default=None, ge=1) + language: str = "en" + + # Filters ($) + categoryFilterWords: list[str] = Field(default_factory=list) + searchMatching: SearchMatching = "all" + placeMinimumStars: PlaceMinimumStars = "" + website: WebsiteFilter = "allPlaces" + skipClosedPlaces: bool = False + + # Place detail page ($) and its dependents + scrapePlaceDetailPage: bool = False + scrapeTableReservationProvider: bool = False + scrapeOrderOnline: bool = False + includeWebResults: bool = False + scrapeDirectories: bool = False + maxQuestions: int = Field(default=0, ge=0) + + # Enrichment add-ons ($) + scrapeContacts: bool = False + scrapeSocialMediaProfiles: SocialMediaEnrichment = Field( + default_factory=SocialMediaEnrichment + ) + maximumLeadsEnrichmentRecords: int = Field(default=0, ge=0) + leadsEnrichmentDepartments: list[str] = Field(default_factory=list) + verifyLeadsEnrichmentEmails: bool = False + + # Reviews ($) + maxReviews: int = Field(default=0, ge=0) + reviewsStartDate: str | None = None + reviewsSort: ReviewsSort = "newest" + reviewsFilterString: str = "" + reviewsOrigin: ReviewsOrigin = "all" + scrapeReviewsPersonalData: bool = True + + # Images ($) + maxImages: int = Field(default=0, ge=0) + scrapeImageAuthors: bool = False + + # Competitor analysis add-on ($) + enableCompetitorAnalysis: bool = False + maxCompetitorsToAnalyze: int = Field(default=30, ge=0, le=100) + + # Geolocation parameters (use either these or locationQuery, not both) + countryCode: str | None = None + city: str | None = None + state: str | None = None + county: str | None = None + postalCode: str | None = None + customGeolocation: dict[str, Any] | None = None + + +class Location(BaseModel): + model_config = ConfigDict(extra="allow") + + lat: float | None = None + lng: float | None = None + + +class ReviewsDistribution(BaseModel): + model_config = ConfigDict(extra="allow") + + oneStar: int | None = None + twoStar: int | None = None + threeStar: int | None = None + fourStar: int | None = None + fiveStar: int | None = None + + +class OpeningHour(BaseModel): + model_config = ConfigDict(extra="allow") + + day: str | None = None + hours: str | None = None + + +class PeopleAlsoSearchItem(BaseModel): + model_config = ConfigDict(extra="allow") + + category: str | None = None + title: str | None = None + reviewsCount: int | None = None + totalScore: float | None = None + + +class ReviewsTag(BaseModel): + model_config = ConfigDict(extra="allow") + + title: str | None = None + count: int | None = None + + +class ImageItem(BaseModel): + model_config = ConfigDict(extra="allow") + + imageUrl: str | None = None + authorName: str | None = None + authorUrl: str | None = None + uploadedAt: str | None = None + + +class ReviewFields(BaseModel): + """Review-level fields shared by the nested place ``reviews[]`` items and + the standalone Reviews Scraper output items.""" + + model_config = ConfigDict(extra="allow") + + name: str | None = None + text: str | None = None + textTranslated: str | None = None + publishAt: str | None = None + publishedAtDate: str | None = None + likesCount: int | None = None + reviewId: str | None = None + reviewUrl: str | None = None + reviewerId: str | None = None + reviewerUrl: str | None = None + reviewerPhotoUrl: str | None = None + reviewerNumberOfReviews: int | None = None + isLocalGuide: bool | None = None + reviewOrigin: str | None = None + stars: float | None = None + rating: str | None = None + responseFromOwnerDate: str | None = None + responseFromOwnerText: str | None = None + reviewImageUrls: list[str] = Field(default_factory=list) + reviewContext: dict[str, Any] = Field(default_factory=dict) + reviewDetailedRating: dict[str, Any] = Field(default_factory=dict) + visitedIn: str | None = None + originalLanguage: str | None = None + translatedLanguage: str | None = None + + +class PlaceItem(BaseModel): + """Apify "Google Maps Scraper" output item (one per place). + + Mirrors the actor's example JSON. Unsourced fields default to + ``None``/``[]``/``{}``; ``extra="allow"`` keeps the contract open. + """ + + model_config = ConfigDict(extra="allow") + + # Provenance + searchString: str | None = None + rank: int | None = None + searchPageUrl: str | None = None + searchPageLoadedUrl: str | None = None + isAdvertisement: bool = False + + # Identity + title: str | None = None + subTitle: str | None = None + description: str | None = None + price: str | None = None + categoryName: str | None = None + categories: list[str] = Field(default_factory=list) + placeId: str | None = None + fid: str | None = None + cid: str | None = None + kgmid: str | None = None + + # Address / location + address: str | None = None + neighborhood: str | None = None + street: str | None = None + city: str | None = None + postalCode: str | None = None + state: str | None = None + countryCode: str | None = None + location: Location | None = None + plusCode: str | None = None + locatedIn: str | None = None + parentPlaceUrl: str | None = None + + # Contact + website: str | None = None + phone: str | None = None + phoneUnformatted: str | None = None + menu: str | None = None + servicesLink: str | None = None + claimThisBusiness: bool | None = None + + # Ratings / status + totalScore: float | None = None + reviewsCount: int | None = None + reviewsDistribution: ReviewsDistribution | None = None + permanentlyClosed: bool = False + temporarilyClosed: bool = False + + # Images + imageUrl: str | None = None + imagesCount: int | None = None + imageCategories: list[str] = Field(default_factory=list) + images: list[ImageItem] = Field(default_factory=list) + imageUrls: list[str] = Field(default_factory=list) + + # Detail-page fields (populated only when scrapePlaceDetailPage) + openingHours: list[OpeningHour] = Field(default_factory=list) + peopleAlsoSearch: list[PeopleAlsoSearchItem] = Field(default_factory=list) + placesTags: list[Any] = Field(default_factory=list) + reviewsTags: list[ReviewsTag] = Field(default_factory=list) + additionalInfo: dict[str, Any] | None = None + questionsAndAnswers: list[Any] = Field(default_factory=list) + updatesFromCustomers: Any | None = None + ownerUpdates: list[Any] = Field(default_factory=list) + webResults: list[Any] = Field(default_factory=list) + tableReservationLinks: list[Any] = Field(default_factory=list) + bookingLinks: list[Any] = Field(default_factory=list) + reserveTableUrl: str | None = None + googleFoodUrl: str | None = None + gasPrices: list[Any] = Field(default_factory=list) + restaurantData: dict[str, Any] = Field(default_factory=dict) + userPlaceNote: str | None = None + + # Hotel fields + hotelStars: str | None = None + hotelDescription: str | None = None + checkInDate: str | None = None + checkOutDate: str | None = None + similarHotelsNearby: Any | None = None + hotelReviewSummary: Any | None = None + hotelAds: list[Any] = Field(default_factory=list) + + # Reviews (populated only when maxReviews > 0) + reviews: list[ReviewFields] = Field(default_factory=list) + + # Meta + url: str | None = None + scrapedAt: str | None = None + + def to_output(self) -> dict[str, Any]: + """Serialize to the flat dict shape Apify emits (keeps extras).""" + return self.model_dump(exclude_none=False) + + +class GoogleMapsReviewsInput(BaseModel): + """Apify "Google Maps Reviews Scraper" input surface.""" + + model_config = ConfigDict(extra="allow") + + startUrls: list[StartUrl] = Field(default_factory=list) + placeIds: list[str] = Field(default_factory=list) + maxReviews: int = Field(default=10_000_000, ge=1) + reviewsSort: ReviewsSort = "newest" + reviewsStartDate: str | None = None + language: str = "en" + reviewsOrigin: ReviewsOrigin = "all" + personalData: bool = True + + +class ReviewItem(ReviewFields): + """Apify "Google Maps Reviews Scraper" output item. + + One flat item per review: the review fields (inherited) merged with the + place fields, per the actor's output schema. + """ + + # Place + title: str | None = None + placeId: str | None = None + address: str | None = None + location: Location | None = None + categories: list[str] = Field(default_factory=list) + isAdvertisement: bool = False + categoryName: str | None = None + totalScore: float | None = None + permanentlyClosed: bool = False + temporarilyClosed: bool = False + reviewsCount: int | None = None + url: str | None = None + price: str | None = None + cid: str | None = None + fid: str | None = None + imageUrl: str | None = None + hotelStars: str | None = None + kgmid: str | None = None + neighborhood: str | None = None + street: str | None = None + city: str | None = None + countryCode: str | None = None + postalCode: str | None = None + state: str | None = None + + # Provenance / meta + scrapedAt: str | None = None + searchPageUrl: str | None = None + searchString: str | None = None + inputPlaceId: str | None = None + inputStartUrl: str | None = None + language: str | None = None + rank: int | None = None + + def to_output(self) -> dict[str, Any]: + return self.model_dump(exclude_none=False) diff --git a/surfsense_backend/app/proprietary/platforms/google_maps/scraper.py b/surfsense_backend/app/proprietary/platforms/google_maps/scraper.py new file mode 100644 index 000000000..21fc002a1 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_maps/scraper.py @@ -0,0 +1,466 @@ +"""Orchestrator for the Google Maps places scraper (Apify-compatible). + +Skeleton mirroring the YouTube scraper layout: the core is the async generator +:func:`iter_places` (unbounded), :func:`scrape_places` is a thin collector with +a caller-supplied ``limit`` guard. Discovery inputs dispatch to per-kind flows +(search / place URL / place ID) which are currently no-ops — each will be +implemented progressively, exactly like the YouTube flows were. +""" + +from __future__ import annotations + +import logging +from collections.abc import AsyncIterator +from typing import Any +from urllib.parse import quote + +from .fetch import ( + SignInRequiredError, + fetch_place_darray, + gather_bounded, + iter_search_pages, + now_iso, + resolve_fid, +) +from .parsers import parse_place +from .schemas import GoogleMapsScrapeInput, PlaceItem +from .url_resolver import ResolvedUrl, resolve_url + +logger = logging.getLogger(__name__) + +# Re-exported so callers/routes can keep importing it from the orchestrator. +__all__ = ["SignInRequiredError", "iter_places", "scrape_places"] + +# Max concurrent per-place detail/review fetches. Each is a ~2s proxy +# round-trip, so overlapping them is what turns a 20-place enriched search from +# ~50s into a handful of seconds. ``ponytail:`` a fixed ceiling — high enough to +# hide latency, low enough not to trip Google/proxy rate limits; make it +# configurable if a faster proxy pool ever wants more. +_DETAIL_CONCURRENCY = 8 + +_SEARCH_PAGE_SIZE = 20 + + +def _prefetch_for(cap: int | None) -> int: + """How many search pages to fetch per wave, from the result cap. + + One page holds ~20 results, so a cap of 60 wants ~3 pages overlapped; an + uncapped scan overlaps a small fixed wave. Capped at 5 to bound wasted + fetches when dedupe or an early empty page cuts things short. + """ + if cap is None: + return 5 + return max(1, min(5, (cap + _SEARCH_PAGE_SIZE - 1) // _SEARCH_PAGE_SIZE)) + + +# Apify's placeMinimumStars options -> numeric cutoff. +_MIN_STARS = { + "two": 2.0, + "twoAndHalf": 2.5, + "three": 3.0, + "threeAndHalf": 3.5, + "four": 4.0, + "fourAndHalf": 4.5, +} + + +def _location_text(input_model: GoogleMapsScrapeInput) -> str | None: + """The location to scope searches to (Apify appends it to the query).""" + if input_model.locationQuery: + return input_model.locationQuery + parts = [ + input_model.city, + input_model.county, + input_model.state, + input_model.postalCode, + input_model.countryCode, + ] + joined = ", ".join(p for p in parts if p) + return joined or None + + +def _custom_point( + input_model: GoogleMapsScrapeInput, +) -> tuple[float | None, float | None, float | None]: + """(lat, lng, radius_m) from a GeoJSON-ish customGeolocation Point.""" + geo = input_model.customGeolocation + if not isinstance(geo, dict) or geo.get("type") != "Point": + return None, None, None + coords = geo.get("coordinates") + if not isinstance(coords, list | tuple) or len(coords) < 2: + return None, None, None + lng, lat = coords[0], coords[1] + radius_km = geo.get("radiusKm") or geo.get("radius") or 10 + return float(lat), float(lng), float(radius_km) * 1000 + + +def _passes_filters( + fields: dict[str, Any], query: str, input_model: GoogleMapsScrapeInput +) -> bool: + """Apply Apify's search result filters to parsed place fields.""" + title = (fields.get("title") or "").lower() + q = query.lower() + if input_model.searchMatching == "only_exact" and title != q: + return False + if input_model.searchMatching == "only_includes" and q not in title: + return False + + if input_model.categoryFilterWords: + cats = " ".join(fields.get("categories") or []).lower() + if not any(w.lower() in cats for w in input_model.categoryFilterWords): + return False + + min_stars = _MIN_STARS.get(input_model.placeMinimumStars) + if min_stars is not None and (fields.get("totalScore") or 0) < min_stars: + return False + + if input_model.website == "withWebsite" and not fields.get("website"): + return False + if input_model.website == "withoutWebsite" and fields.get("website"): + return False + + return not ( + input_model.skipClosedPlaces + and (fields.get("permanentlyClosed") or fields.get("temporarilyClosed")) + ) + + +def _apply_image_cap( + fields: dict[str, Any], input_model: GoogleMapsScrapeInput +) -> None: + """Apify semantics: gallery ``imageUrls`` only when ``maxImages > 0``.""" + if not input_model.maxImages: + fields.pop("imageUrls", None) + elif "imageUrls" in fields: + fields["imageUrls"] = fields["imageUrls"][: input_model.maxImages] + + +async def _enrich_from_detail( + fields: dict[str, Any], input_model: GoogleMapsScrapeInput +) -> dict[str, Any]: + """Merge the full detail-RPC payload over search-result fields. + + Search darrays are served without the session-gated extras (reviewsCount, + distribution, popular times, galleries, tags, full about sections); the + detail RPC with an NID cookie has them all. Detail values win on overlap. + """ + fid = fields.get("fid") + if not fid: + return fields + darray = await fetch_place_darray(fid, language=input_model.language) + if not darray: + return fields + return {**fields, **parse_place(darray)} + + +async def _build_items( + candidates: list[tuple[dict[str, Any], str, int]], + input_model: GoogleMapsScrapeInput, + *, + search_string: str, + search_page_url: str | None, + enrich: bool, +) -> list[dict[str, Any]]: + """Turn dedup'd/filtered place fields into output items, in parallel. + + Each candidate is ``(fields, fid, rank)``. Detail enrichment and inline + reviews are per-place round-trips; running the whole batch concurrently + (bounded, order preserved) is the main speedup over the old one-at-a-time + loop. Pure-CPU when neither enrichment nor reviews are requested. + """ + + async def _build(fields: dict[str, Any], fid: str, rank: int) -> dict[str, Any]: + if enrich: + fields = await _enrich_from_detail(fields, input_model) + _apply_image_cap(fields, input_model) + item = PlaceItem(**fields) + item.searchString = search_string + if search_page_url: + item.searchPageUrl = search_page_url + item.rank = rank + item.url = ( + f"https://www.google.com/maps/place/?q=place_id:{fields.get('placeId')}" + ) + item.scrapedAt = now_iso() + if input_model.maxReviews: + await _attach_reviews(item, fid, input_model) + return item.to_output() + + return await gather_bounded( + [lambda c=c: _build(*c) for c in candidates], + concurrency=_DETAIL_CONCURRENCY, + ) + + +async def _search_flow( + query: str, *, input_model: GoogleMapsScrapeInput +) -> AsyncIterator[dict[str, Any]]: + """Search-term discovery via the ``search?tbm=map`` RPC. + + Pages offset-based results (~20/page), dedupes by fid (Google reshuffles + between pages), applies the Apify filters, and emits full place items — + each search hit already carries a place darray, so no per-place request is + needed for the core fields. When ``scrapePlaceDetailPage`` or ``maxImages`` + is set, one detail RPC per place adds the session-gated extras; those are + fetched concurrently across the page rather than one at a time. + """ + location = _location_text(input_model) + search_query = f"{query} in {location}" if location else query + lat, lng, radius_m = _custom_point(input_model) + cap = input_model.maxCrawledPlacesPerSearch + enrich = bool(input_model.scrapePlaceDetailPage or input_model.maxImages) + search_page_url = ( + f"https://www.google.com/maps/search/{quote(search_query, safe='')}" + ) + + seen: set[str] = set() + emitted = 0 + async for darrays in iter_search_pages( + search_query, + language=input_model.language, + lat=lat, + lng=lng, + radius_m=radius_m, + prefetch=_prefetch_for(cap), + ): + candidates: list[tuple[dict[str, Any], str, int]] = [] + new_on_page = 0 + for darray in darrays: + fields = parse_place(darray) + fid = fields.get("fid") + if not fid or fid in seen: + continue + seen.add(fid) + new_on_page += 1 + if _passes_filters(fields, query, input_model): + candidates.append((fields, fid, len(seen))) + if cap is not None: + candidates = candidates[: max(0, cap - emitted)] + for out in await _build_items( + candidates, + input_model, + search_string=query, + search_page_url=search_page_url, + enrich=enrich, + ): + yield out + emitted += 1 + if cap is not None and emitted >= cap: + return + if not new_on_page: # page was all repeats -> feed is cycling, stop + return + + +# Broad category sweep for allPlacesNoSearchAction. Apify's implementation +# OCRs / mouse-overs the rendered map pins (hence the enum names); the public +# search RPC has no "list everything" query (verified: '*' and '' return +# nothing). ponytail: approximate the scan with broad category searches over +# the same viewport, deduped by fid — covers the vast majority of pins; a true +# pin-complete scan would need browser rendering + tile OCR. +_ALL_PLACES_SWEEP = [ + "restaurant", + "cafe", + "bar", + "store", + "shopping", + "hotel", + "tourist attraction", + "park", + "gym", + "salon", + "bank", + "gas station", + "pharmacy", + "doctor", + "school", + "church", + "services", +] + + +async def _all_places_flow( + input_model: GoogleMapsScrapeInput, +) -> AsyncIterator[dict[str, Any]]: + """Area scan without a search term: sweep broad categories, dedupe by fid. + + Emits the same items the search flow would; ``searchString`` carries the + action value so callers can tell scan hits from query hits. + """ + location = _location_text(input_model) + lat, lng, radius_m = _custom_point(input_model) + cap = input_model.maxCrawledPlacesPerSearch + enrich = bool(input_model.scrapePlaceDetailPage or input_model.maxImages) + seen: set[str] = set() + emitted = 0 + for term in _ALL_PLACES_SWEEP: + search_query = f"{term} in {location}" if location else term + async for darrays in iter_search_pages( + search_query, + language=input_model.language, + lat=lat, + lng=lng, + radius_m=radius_m, + prefetch=_prefetch_for(cap), + ): + candidates: list[tuple[dict[str, Any], str, int]] = [] + new_on_page = 0 + for darray in darrays: + fields = parse_place(darray) + fid = fields.get("fid") + if not fid or fid in seen: + continue + seen.add(fid) + new_on_page += 1 + if _passes_filters(fields, "", input_model): + candidates.append((fields, fid, len(seen))) + if cap is not None: + candidates = candidates[: max(0, cap - emitted)] + for out in await _build_items( + candidates, + input_model, + search_string=input_model.allPlacesNoSearchAction, + search_page_url=None, + enrich=enrich, + ): + yield out + emitted += 1 + if cap is not None and emitted >= cap: + return + if not new_on_page: + break # this term is exhausted; move to the next one + + +async def _place_flow( + resolved: ResolvedUrl, *, input_model: GoogleMapsScrapeInput +) -> AsyncIterator[dict[str, Any]]: + """Single place from a direct Maps place URL / place ID. + + Resolves the feature ID, fetches the place detail via the ``/maps/preview/ + place`` RPC (full payload — see ``_PLACE_DETAIL_PB``), and maps the fields + into a ``PlaceItem``. When ``maxReviews > 0`` the place's reviews are + attached inline (Apify puts them on ``reviews[]``). + """ + fid = await resolve_fid(resolved) + if not fid: + logger.warning("[google_maps] could not resolve feature id: %s", resolved.url) + return + darray = await fetch_place_darray(fid, language=input_model.language) + if not darray: + logger.warning( + "[google_maps] no place data (structure may have shifted): %s", resolved.url + ) + return + fields = parse_place(darray) + _apply_image_cap(fields, input_model) + item = PlaceItem(**fields) + item.url = resolved.url + item.searchString = f"Direct URL: {resolved.url}" + item.scrapedAt = now_iso() + if input_model.maxReviews and fields.get("fid"): + await _attach_reviews(item, fields["fid"], input_model) + yield item.to_output() + + +async def _attach_reviews( + item: PlaceItem, fid: str, input_model: GoogleMapsScrapeInput +) -> None: + """Populate ``item.reviews`` (and total count when knowable) from the feed.""" + from .reviews import collect_place_reviews + + reviews, total = await collect_place_reviews( + fid, + max_reviews=input_model.maxReviews, + sort=input_model.reviewsSort, + language=input_model.language, + filter_string=input_model.reviewsFilterString, + origin=input_model.reviewsOrigin, + personal_data=input_model.scrapeReviewsPersonalData, + start_date=input_model.reviewsStartDate, + ) + item.reviews = reviews + if total is not None and item.reviewsCount is None: + item.reviewsCount = total + + +async def _place_id_flow( + place_id: str, *, input_model: GoogleMapsScrapeInput +) -> AsyncIterator[dict[str, Any]]: + """Single place from a bare place ID (format ``ChIJ...``). + + Maps resolves ``?q=place_id:<id>`` to the place page, so we build that URL + and reuse the place flow. + """ + url = f"https://www.google.com/maps/place/?q=place_id:{place_id}" + resolved = ResolvedUrl("place", place_id, url) + async for item in _place_flow(resolved, input_model=input_model): + yield item + + +async def _dispatch( + resolved: ResolvedUrl, input_model: GoogleMapsScrapeInput +) -> AsyncIterator[dict[str, Any]]: + if resolved.kind == "search": + async for item in _search_flow(resolved.value, input_model=input_model): + yield item + else: # place / cid / shortlink / reviews all resolve to a place page + async for item in _place_flow(resolved, input_model=input_model): + yield item + + +async def iter_places( + input_model: GoogleMapsScrapeInput, +) -> AsyncIterator[dict[str, Any]]: + """Yield Apify-shaped place items from all discovery inputs. + + Apify runs searches, startUrls, and placeIds side by side (they are + additive, unlike the YouTube scraper where startUrls override queries). + """ + for entry in input_model.startUrls: + resolved = resolve_url(entry.url) + if not resolved: + logger.warning("Unrecognized Google Maps URL: %s", entry.url) + continue + async for item in _dispatch(resolved, input_model): + yield item + + # placeIds are independent single-place detail fetches (~2s each); run the + # batch concurrently, bounded, results in input order — a bulk list of IDs + # is the common case and was previously fully sequential. + if input_model.placeIds: + + async def _collect(pid: str) -> list[dict[str, Any]]: + return [it async for it in _place_id_flow(pid, input_model=input_model)] + + for items in await gather_bounded( + [lambda p=p: _collect(p) for p in input_model.placeIds], + concurrency=_DETAIL_CONCURRENCY, + ): + for item in items: + yield item + + for query in input_model.searchStringsArray: + async for item in _search_flow(query, input_model=input_model): + yield item + + if input_model.allPlacesNoSearchAction: + async for item in _all_places_flow(input_model): + yield item + + +async def scrape_places( + input_model: GoogleMapsScrapeInput, *, limit: int | None = None +) -> list[dict[str, Any]]: + """Collect :func:`iter_places` into a list, honoring an optional ``limit``. + + ``limit`` is a request-time policy guard (used by the route), NOT a ceiling + in the streaming core. + """ + from app.capabilities.core.progress import emit_progress + + results: list[dict[str, Any]] = [] + async for item in iter_places(input_model): + results.append(item) + emit_progress("scraping", current=len(results), total=limit, unit="place") + if limit is not None and len(results) >= limit: + break + return results diff --git a/surfsense_backend/app/proprietary/platforms/google_maps/url_resolver.py b/surfsense_backend/app/proprietary/platforms/google_maps/url_resolver.py new file mode 100644 index 000000000..5f8357805 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_maps/url_resolver.py @@ -0,0 +1,74 @@ +"""Classify a Google Maps URL and extract its identifier. + +Covers the ``startUrls`` shapes the Apify specs accept: place pages +(``/maps/place``), search pages (``/maps/search``), review pages +(``/maps/reviews``), CID links (``google.com/maps?cid=***``), and short links +(``goo.gl/maps`` / ``maps.app.goo.gl``, which need a network redirect to +resolve — classified here, resolved later in the fetch layer). +""" + +from __future__ import annotations + +import re +from dataclasses import dataclass +from typing import Literal +from urllib.parse import parse_qs, unquote, urlparse + +ResolvedKind = Literal["place", "search", "reviews", "cid", "shortlink"] + +_MAPS_HOSTS = ("google.", "www.google.") +_SHORTLINK_HOSTS = ("goo.gl", "maps.app.goo.gl") + +# Feature ID (a.k.a. "fid" / data_id): two hex halves, e.g. +# 0x89c3ca9c11f90c25:0x6cc8dba851799f09. It appears in the URL ``data=`` blob as +# ``!1s<hex:hex>`` and is the key that links a place to its detail/review RPCs. +_FID_RE = re.compile(r"(0x[0-9a-f]+:0x[0-9a-f]+)") + + +@dataclass(frozen=True) +class ResolvedUrl: + kind: ResolvedKind + value: str # place slug, search query, cid, or the short URL itself + url: str + fid: str | None = None # feature id (hex:hex) when present in the URL + + +def extract_fid(url: str) -> str | None: + """Pull the feature ID (``0x..:0x..``) out of a Google Maps URL, if present.""" + match = _FID_RE.search(url) + return match.group(1) if match else None + + +def resolve_url(url: str) -> ResolvedUrl | None: + """Classify a Google Maps URL into a scrape job, or ``None`` if unrecognized.""" + parsed = urlparse(url) + hostname = parsed.hostname or "" + path = parsed.path or "" + + if hostname in _SHORTLINK_HOSTS or hostname.endswith(".goo.gl"): + return ResolvedUrl("shortlink", url, url) + + if "google." not in hostname: + return None + + # google.com/maps?cid=123... (uncommon but supported by both actors) + cid = parse_qs(parsed.query).get("cid", [None])[0] + if cid: + return ResolvedUrl("cid", cid, url) + + for prefix, kind in ( + ("/maps/place/", "place"), + ("/maps/search/", "search"), + ("/maps/reviews/", "reviews"), + ): + if path.startswith(prefix): + # Maps slugs encode spaces as "+" (e.g. /maps/place/Kim's+Island). + value = unquote(path[len(prefix) :].split("/")[0].replace("+", " ")) + return ResolvedUrl(kind, value, url, extract_fid(url)) # type: ignore[arg-type] + + # Bare /maps/search or /maps/reviews carrying data in the query/data blob. + for suffix, kind in (("/maps/search", "search"), ("/maps/reviews", "reviews")): + if path.rstrip("/") == suffix: + return ResolvedUrl(kind, url, url) # type: ignore[arg-type] + + return None diff --git a/surfsense_backend/app/proprietary/platforms/google_search/README.md b/surfsense_backend/app/proprietary/platforms/google_search/README.md new file mode 100644 index 000000000..726413194 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_search/README.md @@ -0,0 +1,208 @@ +# Google Search Results Scraper + +A platform-native Google SERP scraper intended as a **drop-in clone of the +Apify "Google Search Results Scraper" actor** — same input surface, same +output item shape (one item per SERP page). Built on the same layout and +progressive-implementation approach as the sibling `../youtube` and +`../google_maps` scrapers. + +**Current status: organic + paid SERP scraping works end-to-end.** The full +Apify input surface is accepted and validated, the output models mirror the +actor's example JSON, query composition is implemented, and `_serp_page_flow` +fetches and parses live SERPs: **organic results (with `siteLinks`), text ads +(`paidResults`), product/shopping ads (`paidProducts`), related queries, +suggested results, People Also Ask questions *and answers* (with source +url/title), the inline AI Overview (content + cited sources), and +`resultsTotal`**. `mobileResults` renders with a phone UA and parses Google's +mobile lightweight layout; `includeUnfilteredResults` (`filter=0`) is verified +live; **Google AI Mode** (`aiModeSearch.enableAiMode`) emits a conversational +answer + cited sources as its own item; `includeIcons` puts the base64 favicon +on organic/paid results; `saveHtml` attaches the raw page. The only remaining +piece is the HTTP route. + +### How fetching works (and why it's slow) + +Google's web `/search` is hostile: most residential IPs get a 429 "unusual +traffic" wall, and the IPs that pass serve a JavaScript shell whose organic +results only materialize after the page's JS runs. So `fetch.py` needs both a +**non-blocked IP** and a **real browser render**, on the same IP: + +1. Reuse the last known-good sticky IP if it still passes a cheap re-precheck; + otherwise race prechecks on several fresh sticky IPs at once (DataImpulse + maps ports → sessions) and take the first that passes, +2. render on that IP using a **shared long-lived browser** (launched once per + process, per layout; each fetch only opens a fresh context carrying its + vetted proxy) — during which the render clicks the AI Overview's "Show + more" clamp and the initially-served People-Also-Ask questions open (all + clicks fired first, then one shared wait) so their content lands in the DOM; +3. retry on fresh IPs until one returns the results container. + +A warm fetch (browser up, IP cached) runs ~8 s; the first fetch of a process +also pays the ~5 s Chromium launch and a vetting round. Requires the browser +tier (patchright Chromium via Scrapling's `AsyncStealthySession`) and a +residential proxy — set `PROXY_PROVIDER` + `PROXY_URL` (see +`.env`). Long-running callers can `await fetch.close_sessions()` on shutdown; +scripts that exit anyway can skip it. + +## Scope + +Included (this actor's own features): + +- Organic results, paid results (ads), product ads +- Related queries, People Also Ask, suggested results +- AI Overview extraction (`aiOverview.scrapeFullAiOverview`) +- Google AI Mode (`aiModeSearch.enableAiMode`) — google.com's dedicated AI + search interface, distinct from inline AI Overviews +- Full localization: country (`gl`), search language (`lr`), interface + language (`hl`), exact location (`uule`) +- Advanced search filters composed into query operators (site, related, + intitle/intext/inurl, filetype, before/after/qdr date ranges, exact match) +- Inline HTML capture (`saveHtml`), icons (`includeIcons`). The actor's + key-value-store snapshot (`saveHtmlToKeyValueStore` → `htmlSnapshotUrl`) is + Apify storage plumbing and is skipped (accepted but ignored). + +Excluded on purpose (Apify implements these by piping into *other* actors / +third-party data brokers): `perplexitySearch`, `chatGptSearch`, +`copilotSearch`, `geminiSearch`, `linkProspecting`, and business leads +enrichment (`maximumLeadsEnrichmentRecords`, `leadsEnrichmentDepartments`, +`verifyLeadsEnrichmentEmails`). A verbatim Apify payload containing them still +validates (`extra="allow"`) but they are ignored. + +## Quick start + +```python +from app.proprietary.platforms.google_search import ( + GoogleSearchScrapeInput, scrape_serps, +) + +# One output item per SERP page; queries mixes terms and Google Search URLs. +items = await scrape_serps( + GoogleSearchScrapeInput( + queries="best SEO tools\nhttps://www.google.com/search?q=apify", + maxPagesPerQuery=2, + countryCode="us", + site="example.com", + aiModeSearch={"enableAiMode": True}, + ) +) +``` + +`iter_serps()` is the streaming twin. (No HTTP route yet — module only, per +the progressive rollout.) + +## Module map + +| File | Responsibility | +| ------------------ | ------------------------------------------------------------------------------------------------------------------------- | +| `__init__.py` | Public exports (entry points + schemas). | +| `schemas.py` | Pydantic input/output models mirroring the Apify camelCase spec. `extra="allow"` on outputs keeps the contract open. | +| `scraper.py` | Orchestrator. `iter_serps` dispatches each `queries` line to `_term_flow` / `_url_flow` (+ `_ai_mode_flow` per term). | +| `query_builder.py` | Pure: classify `queries` lines, fold advanced filters into search operators, resolve relative dates, build the URL. | +| `fetch.py` | Proxy-vetted two-phase fetch: cheap precheck GET + headless render on a shared sticky IP, retrying across IPs. | +| `parsers.py` | Rendered SERP HTML → organic / text ads / product ads / related / People-Also-Ask / `resultsTotal` (degrades per-field). | + +## Input semantics (matching Apify) + +- `queries` (required) is a **newline-separated string**; each line is either + a plain search term (advanced Google operators allowed) or a full Google + Search URL (scraped as-is; its own URL parameters win). +- `maxPagesPerQuery` unset means 1 page (~10 results per page). +- `forceExactMatch` wraps the whole term in quotes. +- `site:` takes precedence over `related:` — when both are set, + `relatedToSite` is ignored. +- `wordsInTitle`/`wordsInText`/`wordsInUrl` emit one `intitle:`/`intext:`/ + `inurl:` per word (never the `allin*:` forms — they conflict with other + operators). +- `fileTypes` are OR-joined (`filetype:pdf OR filetype:doc`). +- `beforeDate`/`afterDate` accept absolute (`2024-05-03`, UTC) or relative + (`3 months`) dates → `before:`/`after:` operators. `quickDateRange` + (`d10`/`w2`/`m6`/`y1`) → `tbs=qdr:`. Avoid combining the two. +- `includeUnfilteredResults` → `filter=0`. +- Localization: `countryCode` → `gl=`, `searchLanguage` → `lr=lang_*`, + `languageCode` → `hl=`, `locationUule` → `uule=`. Google retired country + ccTLDs (google.es et al. redirect to google.com since 2025), so the country + is carried by `gl` and the domain is always `google.com`. +- `saveHtmlToKeyValueStore` defaults **true** (matching the actor); + `saveHtml` defaults false. + +## Output shape (`SerpItem`, one per SERP page) + +- `searchQuery` — provenance: `term`, `url`, `device` (DESKTOP/MOBILE), + `page`, `type`, `domain`, `countryCode`, `languageCode`, `locationUule` +- `resultsTotal` +- `organicResults[]` — `title`, `url`, `displayedUrl`, `description`, + `emphasizedKeywords`, `siteLinks`, `productInfo`, `icon`, `type`, + `position` +- `paidResults[]`, `paidProducts[]` +- `relatedQueries[]`, `peopleAlsoAsk[]` +- `suggestedResults[]` — the related queries re-emitted in result shape + (`title`, google-search `url`, `type: "organic"`, 1-based `position`), + matching how the actor synthesizes them +- `aiOverview` — `{content, sources[{title, url, description, imageUrl}]}` + when an AI Overview appears (always fully expanded) +- `aiModeResult` — `{engine, provider, text, sources[], query, kvsHtmlUrl, + url}` when the AI Mode add-on is enabled +- `html` / `htmlSnapshotUrl` — HTML capture add-ons + +All list fields default to `[]`, unsourced scalars to `None` — parity is +additive, consumers never break on missing keys. + +## Testing + +Offline unit tests (no network — query building, schema, and SERP parsing +against a synthetic fixture): + +```bash +cd surfsense_backend +.venv/Scripts/python.exe -m pytest tests/unit/platforms/google_search/ +``` + +Live end-to-end (needs the proxy + browser tier configured): + +```bash +.venv/Scripts/python.exe scripts/e2e_google_search.py +``` + +## Implementation TODO (progressive, like YouTube/Maps) + +- **Done:** `_serp_page_flow` organic / text-ad (`paidResults`) / product-ad + (`paidProducts`) / related / PAA / `resultsTotal` parsing over a proxy-vetted + browser render. +- **Done:** `focusOnPaidAds` — re-renders on fresh IPs (up to 3 tries) until + ads surface, since Google serves ads non-deterministically; falls back to the + richest ad-less render. +- **Done:** People-Also-Ask answers — the render clicks the first ~4 questions + open (`fetch._expand_paa`); the parser handles both answer shapes + (featured-snippet `.hgKElc` with a source link, and AI-generated `.n6owBd` + paragraphs with inline source chips stripped). Expansion appends extra + collapsed questions, which emit question-only. +- **Done:** `siteLinks` on organic results (the expanded sitelinks table of + brand queries' top result) and `suggestedResults` (related queries re-shaped + with `type`/`position`, per the actor's output). +- **Done:** inline AI Overview (`#m-x-content`) — generated prose (paragraphs + + bullets, inline source chips stripped) plus cited sources (title, url, + snippet, thumbnail). The render always clicks "Show more", so the full + overview is scraped whether or not `scrapeFullAiOverview` is set (a superset + of the actor's gated behavior). +- **Done:** `mobileResults` — renders with a Chrome-on-Android UA + phone + viewport. Google serves its *lightweight mobile layout* (a different DOM: + `Gx5Zad` blocks, `/url?q=` redirect anchors, PAA answers and the full AI + Overview pre-loaded — no clicks needed); `parse_serp` auto-detects the + layout and dispatches to the `_mobile_*` extractors. Mobile pages carry no + `resultsTotal`, marked ads, or sitelinks, so those emit `None`/`[]`. +- **Done:** `includeUnfilteredResults` (`filter=0`) verified live end-to-end. +- **Done:** `_ai_mode_flow` — renders `google.com/search?udm=50`; the + conversational answer streams into `[data-subtree='aimc']`, which is built + from the same DOM blocks as the AI Overview, so the prose/source extractors + are shared. Emits one extra item per term with `aiModeResult` + (`engine/provider/text/sources/query/url`). +- **Done:** `includeIcons` — the rendered desktop SERP inlines every favicon + as a `data:image/...;base64,` URI (`img.XNo5Ab`), which is exactly the + actor's output shape, so it's a straight attribute read on organic + paid + results. The mobile lightweight layout carries no favicons. +- **Skipped on purpose:** key-value-store HTML snapshots + (`saveHtmlToKeyValueStore` → `htmlSnapshotUrl`) — that's Apify storage + plumbing (persist the raw page for debugging/auditing), not extraction; we + have no KVS equivalent and `saveHtml` already returns the raw HTML inline + when callers want it. +- HTTP route + registration once the flows are live. diff --git a/surfsense_backend/app/proprietary/platforms/google_search/__init__.py b/surfsense_backend/app/proprietary/platforms/google_search/__init__.py new file mode 100644 index 000000000..1c105f291 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_search/__init__.py @@ -0,0 +1,12 @@ +"""Platform-native Google Search results scraper (Apify Google Search Results +Scraper-compatible).""" + +from .schemas import GoogleSearchScrapeInput, SerpItem +from .scraper import iter_serps, scrape_serps + +__all__ = [ + "GoogleSearchScrapeInput", + "SerpItem", + "iter_serps", + "scrape_serps", +] diff --git a/surfsense_backend/app/proprietary/platforms/google_search/fetch.py b/surfsense_backend/app/proprietary/platforms/google_search/fetch.py new file mode 100644 index 000000000..68cc90d26 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_search/fetch.py @@ -0,0 +1,398 @@ +"""Proxy-aware fetch seam for the Google Search scraper. + +Google's web ``/search`` endpoint is far more hostile than Maps: most +residential IPs get a 429 "unusual traffic" wall, and the ones that pass serve +a JavaScript shell whose organic results only materialize after the page's JS +runs. So a plain GET is never enough — we need a *non-blocked* IP **and** a real +browser render, both on the same IP. + +Strategy (measured against DataImpulse residential IPs, ~50% pass rate): + +1. **Reuse the last good IP.** A sticky IP that just served a real SERP is the + best predictor of the next success, so it's cached module-wide and only a + <1 s re-precheck stands between it and the render. +2. **Vet fresh IPs cheaply and in parallel.** A curl_cffi GET costs ~90 KB and + tells us in <1 s whether an IP is walled; several candidates race at once + and the first pass wins. Rotating gateways (``:823``) hand a fresh IP per + request, which makes a *browser* session look like a botnet — so we pin a + per-attempt **sticky** port (one IP for the whole precheck+render) via + :func:`_sticky_variant`. +3. **Render on the vetted IP.** Only then do we spend the headless render, + reusing the same sticky IP. The browser itself is launched **once** and kept + alive module-wide (:func:`_get_session`); each fetch only opens a fresh + context on the vetted proxy, cutting ~5 s of launch cost per page. +4. **Retry across IPs** until one yields real results or we exhaust the budget. + +``ponytail:`` sticky-port rewriting is DataImpulse-specific (its gateway maps +ports→sessions); other providers just reuse their single URL. The upgrade path +if we add another sticky vendor is to extend ``_STICKY_HOSTS``. +""" + +from __future__ import annotations + +import asyncio +import contextlib +import logging +import random +import sys +import threading +import time +from urllib.parse import urlsplit, urlunsplit + +from scrapling.fetchers import AsyncFetcher + +from app.utils.proxy import get_proxy_url + +try: # browser tier is optional (needs `scrapling[fetchers]` browsers installed) + from scrapling.fetchers import AsyncStealthySession, ProxyRotator +except Exception: # pragma: no cover - import guard + AsyncStealthySession = None # type: ignore[assignment] + ProxyRotator = None # type: ignore[assignment] + +logger = logging.getLogger(__name__) + +# Consent cookies to dodge the EU interstitial (mirrors the Maps/YouTube seams). +CONSENT_COOKIES = {"CONSENT": "PENDING+987", "SOCS": "CAESHAgBEhIaAB"} +_HEADERS = {"Accept-Language": "en-US,en;q=0.9"} + +# Gateways whose sticky sessions are selected by destination port. A random port +# in this range pins one residential IP for the duration of a browser session. +_STICKY_HOSTS = {"gw.dataimpulse.com"} +_STICKY_PORT_RANGE = (10000, 20000) + +# How many distinct IPs to try before giving up on a page. Prechecks are cheap +# and now run in parallel, so the budget is generous — it only bites during a +# rate-limited window where most IPs are walled. +_MAX_IP_ATTEMPTS = 24 +# How many fresh sticky IPs to precheck concurrently per vetting round. At +# ~50% pass rate, 4 in parallel almost always yields a winner in one ~1 s +# round instead of a serial walk. +_VET_CONCURRENCY = 4 +# When a whole vetting round comes back walled, Google is rate-limiting this +# egress; a short pause before the next round lets it cool instead of burning +# the budget in a couple of seconds. +_WALLED_ROUND_BACKOFF_S = 3.0 + +# The sticky IP that most recently served a real SERP; the strongest hint for +# the next fetch. Re-vetted (cheap) before reuse, dropped on failure. +# ponytail: a single slot, not a pool — one render runs at a time today. +_last_good_proxy: str | None = None + +# A usable precheck responds in <1 s; anything slower is a dead/slow sticky IP +# (seen hanging ~60 s). Abandon it on this deadline so a slow IP costs no more +# than a walled one, keeping per-page time predictable. +_PRECHECK_TIMEOUT_S = 5.0 + +# A walled response is small and says so; the anti-bot page never carries the +# results container. Precheck (small shell page) keys off the text markers; +# the rendered page is judged structurally (presence of the results container), +# because a *good* rendered SERP embeds "/sorry/" etc. inside its own scripts. +_BLOCK_MARKERS = ("unusual traffic", "detected unusual", "/sorry/") +# Desktop markers + the mobile lightweight layout's result-block class. +_RESULTS_MARKERS = ('id="rso"', 'id="search"', 'class="tF2Cxc', "Gx5Zad") + + +def _sticky_variant(proxy_url: str | None) -> str | None: + """Pin a random sticky port for gateways that key sessions by port. + + For a rotating gateway this converts ``…@gw.dataimpulse.com:823`` (new IP + per request) into ``…@gw.dataimpulse.com:<10000-20000>`` (one IP held for + the whole browser session). Non-sticky providers are returned unchanged. + """ + if not proxy_url: + return None + parts = urlsplit(proxy_url) + if parts.hostname not in _STICKY_HOSTS: + return proxy_url + port = random.randint(*_STICKY_PORT_RANGE) + userinfo = "" + if parts.username: + userinfo = parts.username + if parts.password: + userinfo += f":{parts.password}" + userinfo += "@" + netloc = f"{userinfo}{parts.hostname}:{port}" + return urlunsplit((parts.scheme, netloc, parts.path, parts.query, parts.fragment)) + + +def _is_walled(html: str | None) -> bool: + """True for the small anti-bot interstitial (precheck GET use).""" + low = (html or "").lower() + return any(m in low for m in _BLOCK_MARKERS) + + +def _has_results(html: str | None) -> bool: + """True when the rendered DOM carries the organic results container. + + A fully-rendered SERP is ~1 MB and legitimately mentions ``/sorry/`` etc. + inside its own scripts, so the render is judged by *structure* (the results + container is present) rather than by text markers. + """ + return any(m in (html or "") for m in _RESULTS_MARKERS) + + +async def _precheck(url: str, proxy: str | None) -> bool: + """Cheap GET to decide if this IP is walled (True = looks usable).""" + try: + r = await AsyncFetcher.get( + url, + cookies=CONSENT_COOKIES, + proxy=proxy, + stealthy_headers=True, + timeout=_PRECHECK_TIMEOUT_S, + ) + except Exception as e: + # A timeout (slow/dead IP) lands here too; treat it like a walled IP. + logger.debug("[google_search] precheck error: %s", e) + return False + return r.status == 200 and not _is_walled(r.html_content) + + +async def _vet_fresh_ip(url: str, base: str) -> str | None: + """Race prechecks on :data:`_VET_CONCURRENCY` fresh sticky IPs. + + The first IP to pass wins and the rest are cancelled, so one round costs + about one precheck (~1 s) instead of a serial walk over walled IPs. + """ + + async def vet(proxy: str | None) -> str | None: + return proxy if await _precheck(url, proxy) else None + + tasks = [ + asyncio.create_task(vet(_sticky_variant(base))) for _ in range(_VET_CONCURRENCY) + ] + winner: str | None = None + for fut in asyncio.as_completed(tasks): + winner = await fut + if winner: + break + for task in tasks: + task.cancel() + return winner + + +# People-also-ask answers only load when a question is expanded (clicked). +# We expand just the initially-served questions (~4); each expansion appends +# more questions we deliberately leave collapsed, or the loop never ends. +# All clicks are fired first and the XHRs load concurrently behind one shared +# wait, instead of a serial click→wait per question. +_PAA_EXPAND_LIMIT = 4 +_PAA_ANSWER_WAIT_MS = 1500 +# The AI Overview's "Show more" clamp, when present. +_AIO_SHOW_MORE_SEL = "[aria-label='Show more AI Overview']" + + +async def _expand_blocks(page): + """Click open the lazy SERP blocks so their content renders into the DOM. + + Runs inside the browser render (Playwright async API — the persistent + session's ``page_action`` must be a coroutine). Two expansions: + + * AI Overview "Show more" (``ponytail:`` clicked unconditionally, so the + full overview is always scraped and ``scrapeFullAiOverview`` needs no + plumbing down here — a superset of the actor's gated behavior). + * The initially-served People-Also-Ask questions (answers load on click). + + Both are free on pages without the block, and best-effort: a failed click + just leaves that section collapsed rather than failing the render. + """ + clicked = 0 + try: + more = await page.query_selector(_AIO_SHOW_MORE_SEL) + if more: + await more.click(timeout=1500) + clicked += 1 + except Exception: # clamp absent/detached; the collapsed text still parses + pass + try: + pairs = await page.query_selector_all("div.related-question-pair") + for pair in pairs[:_PAA_EXPAND_LIMIT]: + try: + await pair.click(timeout=1500) + clicked += 1 + except Exception: # stale handle/overlay; skip pair + continue + except Exception as e: # never fail the render over PAA + logger.debug("[google_search] PAA expansion skipped: %s", e) + if clicked: + # One shared wait while all the answer XHRs land in parallel. + await page.wait_for_timeout(_PAA_ANSWER_WAIT_MS) + return page + + +# Firefox-on-Android UA to make Google serve its mobile lightweight layout. +# ponytail: the engine underneath is patchright's *Chromium*, so this UA lies +# about the engine — but empirically it's what gets the mobile layout served +# without tripping Google's wall. A Chrome-on-Android UA (the "coherent" +# choice) gets 429-walled on every IP, so don't switch it back without a live +# mobile e2e proving the layout still loads. +_MOBILE_UA = "Mozilla/5.0 (Android 14; Mobile; rv:132.0) Gecko/132.0 Firefox/132.0" +_MOBILE_VIEWPORT = {"width": 412, "height": 915} + + +# patchright launches Chromium via asyncio.create_subprocess_exec, which the +# server's main loop cannot do on Windows (main.py pins a SelectorEventLoop +# for psycopg; Selector loops raise NotImplementedError on subprocess_exec). +# All browser work therefore runs on ONE dedicated background loop that is +# explicitly subprocess-capable; callers await it across threads. This also +# keeps the persistent AsyncStealthySession (and its async page_action) intact +# — the sync-fetcher-in-a-thread pattern the other scrapers use would tear +# down the browser on every fetch. +_browser_loop: asyncio.AbstractEventLoop | None = None +_browser_loop_guard = threading.Lock() + + +def _get_browser_loop() -> asyncio.AbstractEventLoop: + """The lazily-started, process-wide event loop the browser lives on.""" + global _browser_loop + with _browser_loop_guard: + if _browser_loop is None: + loop = ( + asyncio.ProactorEventLoop() + if sys.platform == "win32" + else asyncio.new_event_loop() + ) + threading.Thread( + target=loop.run_forever, name="google-search-browser", daemon=True + ).start() + _browser_loop = loop + return _browser_loop + + +async def _in_browser_loop(coro): + """Run ``coro`` on the browser loop and await its result from this loop.""" + return await asyncio.wrap_future( + asyncio.run_coroutine_threadsafe(coro, _get_browser_loop()) + ) + + +# One live browser per layout (desktop / mobile — the UA and viewport are +# session-level context options). Launching Chromium costs ~5 s, so it's paid +# once and every fetch just opens a fresh context on its vetted sticky proxy. +# Only ever touched from coroutines running on the browser loop. +_sessions: dict[bool, AsyncStealthySession] = {} +_session_lock = asyncio.Lock() + + +async def _get_session(mobile: bool) -> AsyncStealthySession: + """The shared live browser session for this layout, launching it if needed.""" + async with _session_lock: + session = _sessions.get(mobile) + if session is not None: + return session + kwargs: dict = { + "headless": True, + "network_idle": True, + "google_search": True, + "page_action": _expand_blocks, + "retries": 1, # our own IP loop is the retry policy + } + base = get_proxy_url() + if base: + # Rotator mode makes the session launch a plain browser so each + # fetch can carry its own vetted sticky proxy; the rotator itself + # is never consulted because every fetch passes an explicit proxy. + kwargs["proxy_rotator"] = ProxyRotator([base]) + if mobile: + kwargs["useragent"] = _MOBILE_UA + kwargs["additional_args"] = {"viewport": _MOBILE_VIEWPORT} + session = AsyncStealthySession(**kwargs) + await session.start() + _sessions[mobile] = session + return session + + +async def _drop_session_on_loop(mobile: bool) -> None: + async with _session_lock: + session = _sessions.pop(mobile, None) + if session is not None: + with contextlib.suppress(Exception): # already dead; nothing to salvage + await session.close() + + +async def _drop_session(mobile: bool) -> None: + """Close and forget a session whose browser is presumed broken.""" + await _in_browser_loop(_drop_session_on_loop(mobile)) + + +async def close_sessions() -> None: + """Shut down the shared browsers (for tests/scripts wanting a clean exit).""" + for mobile in (False, True): + await _drop_session(mobile) + + +async def _render_on_loop(url: str, proxy: str | None, mobile: bool): + session = await _get_session(mobile) + return await session.fetch(url, proxy=proxy) + + +async def _render(url: str, proxy: str | None, mobile: bool = False): + """Headless render of a SERP on the shared browser (fresh proxy context). + + The actual browser work is marshalled onto the dedicated subprocess-capable + loop (see :func:`_get_browser_loop`); this coroutine just awaits it from + the caller's loop. + """ + return await _in_browser_loop(_render_on_loop(url, proxy, mobile)) + + +async def fetch_serp_html(url: str, *, mobile: bool = False) -> str | None: + """Return fully-rendered SERP HTML for ``url``, or ``None`` if unobtainable. + + Reuses the last known-good sticky IP when it still passes the cheap + precheck; otherwise races prechecks on fresh sticky IPs and renders on the + first that passes. Retries until a render returns real results or the IP + budget runs out. Requires the browser tier — without it we cannot get + JS-built results. ``mobile`` renders with a phone UA/viewport (the + ``mobileResults`` input). + """ + global _last_good_proxy + if AsyncStealthySession is None: + logger.error("[google_search] browser tier unavailable; cannot render SERPs") + return None + + base = get_proxy_url() + ips_tried = 0 + while ips_tried < _MAX_IP_ATTEMPTS: + if base: + if _last_good_proxy and await _precheck(url, _last_good_proxy): + proxy = _last_good_proxy + else: + _last_good_proxy = None + proxy = await _vet_fresh_ip(url, base) + ips_tried += _VET_CONCURRENCY + if proxy is None: + logger.debug("[google_search] vetting round: all IPs walled") + await asyncio.sleep(_WALLED_ROUND_BACKOFF_S) + continue + else: + proxy = None + ips_tried += 1 + started = time.perf_counter() + try: + page = await _render(url, proxy, mobile=mobile) + except Exception as e: + # Renders on a walled IP still return HTML; an exception means the + # browser side is broken, so relaunch it rather than limp along. + # repr(), not str(): e.g. NotImplementedError stringifies to "". + logger.warning("[google_search] render failed: %r", e) + _last_good_proxy = None + await _drop_session(mobile) + continue + fetch_ms = (time.perf_counter() - started) * 1000 + html = page.html_content or "" + good = page.status == 200 and _has_results(html) + logger.info( + "[google_search][perf] status=%s bytes=%d has_results=%s fetch_ms=%.0f reused_ip=%s", + page.status, + len(html), + good, + fetch_ms, + proxy == _last_good_proxy, + ) + if good: + _last_good_proxy = proxy + return html + _last_good_proxy = None + logger.warning("[google_search] exhausted %d IPs for %s", _MAX_IP_ATTEMPTS, url) + return None diff --git a/surfsense_backend/app/proprietary/platforms/google_search/parsers.py b/surfsense_backend/app/proprietary/platforms/google_search/parsers.py new file mode 100644 index 000000000..04e278079 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_search/parsers.py @@ -0,0 +1,635 @@ +"""Parse a rendered Google Search results page into Apify-shaped models. + +Two layouts are handled: the desktop layout below, and the **mobile +lightweight layout** Google serves to phone UAs (``mobileResults``), which +uses a completely different DOM — see the ``_mobile_*`` extractors and the +dispatch in :func:`parse_serp`. + +Selectors are the current desktop layout's (verified live, Jul 2026): + +* organic result container ...... ``div.tF2Cxc`` +* title ......................... ``h3`` +* link .......................... first ``<a href>`` in the block +* displayed (green) URL ......... ``cite`` (first line, when it's a URL) +* source/site name .............. ``.VuuXrf`` +* description ................... ``.VwiC3b`` +* inline date ................... ``span.YrbPuc``/``.LEwnzc`` +* emphasized keywords ........... ``em`` +* sitelinks (expanded) .......... ``td.cIkxbf`` cells in the result's card +* related searches .............. ``a.ngTNl`` (bottom block) +* people-also-ask ............... ``div.related-question-pair[data-q]`` +* PAA snippet answer ............ ``.hgKElc`` (+ source ``a`` with ``h3``) +* PAA AI answer ................. ``.n6owBd`` paragraphs (source chips + ``span.WBgIic`` stripped) +* AI Overview ................... ``#m-x-content`` widget; prose ``.n6owBd`` + + ``li.Z1qcYe``, sources ``li.h7wxwc`` +* result count .................. ``#result-stats`` + +``ponytail:`` these class names are Google's obfuscated build hashes and will +drift; each extractor degrades to ``None``/``[]`` rather than raising, so a +layout change loses a field, never the whole page. When a selector goes stale +the fix is to re-capture a live SERP and update the constant here. +""" + +from __future__ import annotations + +import re +from urllib.parse import parse_qs, urlsplit + +from scrapling.parser import Adaptor + +from .schemas import ( + AiModeResult, + AiOverviewResult, + AiSource, + OrganicResult, + PaidProduct, + PaidResult, + PeopleAlsoAskItem, + RelatedQuery, + SerpItem, + SiteLink, + SuggestedResult, +) + +_GOOGLE = "https://www.google.com" +_RESULT_COUNT_RE = re.compile(r"[\d,]+") +# Leading inline date Google prepends to a snippet, e.g. "Jul 2, 2025 · rest…". +_DATE_PREFIX_RE = re.compile(r"^[A-Z][a-z]{2}\s+\d{1,2},\s+\d{4}\s*[·\u00b7]?\s*") +_PRICE_RE = re.compile(r"\$[\d,]+(?:\.\d{2})?") + + +def _one(node, selector: str): + """First element matching ``selector`` under ``node``, or ``None``. + + Scrapling's ``Adaptor``/``Selector`` expose ``css`` (list) but no + ``css_first``, so this is the shared "first match" accessor. + """ + found = node.css(selector) + return found[0] if found else None + + +def _text(node) -> str | None: + """First non-empty text of a node, collapsed to single spaces.""" + if node is None: + return None + raw = node.get_all_text(strip=True) + if not raw: + return None + return re.sub(r"\s+", " ", raw) + + +def _abs_url(href: str | None) -> str | None: + if not href: + return None + if href.startswith("/"): + return _GOOGLE + href + return href + + +def parse_results_total(doc: Adaptor) -> int | None: + """The integer from ``#result-stats`` ("About 123 results" -> 123). + + The timing suffix "(0.53 seconds)" is cut so its digits never match. Some + SERPs (brand queries) render a visible "About 0 results" node while the + real count sits in a second, hidden ``#result-stats`` — so scan all nodes + and prefer the first non-zero count. + """ + totals: list[int] = [] + for node in doc.css("#result-stats"): + stats = _text(node) + match = _RESULT_COUNT_RE.search(stats.split("(", 1)[0]) if stats else None + if match: + totals.append(int(match.group().replace(",", ""))) + if not totals: + return None + return next((t for t in totals if t), totals[0]) + + +def _first_link(block) -> str | None: + for a in block.css("a"): + href = a.attrib.get("href") + if href and href.startswith("http"): + return href + return None + + +def _displayed_url(block) -> str | None: + cite = _one(block, "cite") + if cite is None: + return None + # cite is breadcrumb text ("https://site.com > Blog"); keep the URL head. + head = cite.get_all_text(strip=True).split("\n", 1)[0].strip() + return head if head.startswith("http") else None + + +def _inline_date(block) -> str | None: + node = _one(block, "span.YrbPuc") or _one(block, ".LEwnzc span") + date = _text(node) + # The date span carries a trailing separator ("Jul 2, 2025 · "); drop it. + return re.sub(r"\s*[·\u00b7\-]\s*$", "", date).strip() or None if date else None + + +def _description(block, date: str | None) -> str | None: + desc = _text(_one(block, ".VwiC3b")) + if not desc: + return None + # Google prepends the date to the snippet; drop it so description is clean. + if date and desc.startswith(date): + desc = desc[len(date) :] + desc = _DATE_PREFIX_RE.sub("", desc) + # Strip a separator left behind between the date and the snippet body. + desc = re.sub(r"^\s*[·\u00b7\-]\s*", "", desc) + return desc.strip() or None + + +def _site_links(block) -> list[SiteLink]: + """Expanded sitelinks of one organic result (brand queries' top result). + + The sitelinks table is a *sibling* of the ``tF2Cxc`` block inside the + result's card, so we climb to the widest ancestor that still contains only + this one result and read its ``td.cIkxbf`` cells (title ``h3``/link/ + ``.zz3gNc`` description). ``ponytail:`` only the expanded table variant is + handled; the compact inline-links variant (rare, class-drifty) parses as + no sitelinks rather than wrong ones. + """ + card = None + ancestor = block.parent + for _ in range(4): + if ancestor is None or len(ancestor.css("div.tF2Cxc")) != 1: + break + card = ancestor + ancestor = ancestor.parent + if card is None: + return [] + links: list[SiteLink] = [] + for cell in card.css("td.cIkxbf"): + title = _text(_one(cell, "h3")) + url = _first_link(cell) + if title and url: + links.append( + SiteLink(title=title, url=url, description=_text(_one(cell, ".zz3gNc"))) + ) + return links + + +def _icon(block) -> str | None: + """Favicon of a result block, as the base64 data URI the render inlines. + + The rendered desktop SERP swaps every favicon ``img.XNo5Ab`` src to a + ``data:image/...;base64,`` URI, which is exactly the shape the actor + emits for ``includeIcons``; non-data srcs (unloaded lazy images) are + skipped rather than fetched. + """ + for img in block.css("img.XNo5Ab"): + src = img.attrib.get("src") or "" + if src.startswith("data:image"): + return src + return None + + +def parse_organic(doc: Adaptor, *, include_icons: bool = False) -> list[OrganicResult]: + """Every ``div.tF2Cxc`` organic block, in page order (1-based positions).""" + results: list[OrganicResult] = [] + for i, block in enumerate(doc.css("div.tF2Cxc"), start=1): + title = _text(_one(block, "h3")) + url = _first_link(block) + if not title or not url: + continue + date = _inline_date(block) + emphasized = [] + for em in block.css("em::text"): + word = str(em).strip() + if word and word not in emphasized: + emphasized.append(word) + results.append( + OrganicResult( + title=title, + url=url, + displayedUrl=_displayed_url(block), + description=_description(block, date), + date=date, + emphasizedKeywords=emphasized, + siteLinks=_site_links(block), + icon=_icon(block) if include_icons else None, + position=i, + ) + ) + return results + + +def parse_paid_results( + doc: Adaptor, *, include_icons: bool = False +) -> list[PaidResult]: + """Text ads (``div[data-text-ad]``), covering the top and bottom ad blocks. + + Fields mirror an organic result: the heading is the title, the ad's anchor + is the (clean) landing URL, ``.x2VHCd`` is the green displayed URL, and the + non-heading ``.Va3FIb`` block is the description. ``adPosition`` comes from + Google's own ``data-ta-slot-pos``. + """ + ads: list[PaidResult] = [] + for block in doc.css("div[data-text-ad]"): + heading = _one(block, "div[role='heading']") + title = _text(heading) + anchor = _one(block, "a.sVXRqc") or _one(block, "a[href^='http']") + url = anchor.attrib.get("href") if anchor is not None else None + if not title or not url: + continue + # The description shares the .Va3FIb class with the heading; pick the + # longest .Va3FIb whose text isn't the title itself. + description = None + for cand in block.css(".Va3FIb"): + text = _text(cand) + if ( + text + and text != title + and (description is None or len(text) > len(description)) + ): + description = text + slot = block.attrib.get("data-ta-slot-pos") + ads.append( + PaidResult( + title=title, + url=url, + displayedUrl=_text(_one(block, ".x2VHCd")), + description=description, + icon=_icon(block) if include_icons else None, + adPosition=int(slot) if slot and slot.isdigit() else None, + ) + ) + return ads + + +def parse_paid_products(doc: Adaptor) -> list[PaidProduct]: + """Shopping / product ads (``div.pla-unit``). + + Title is the product name (``.bXPcId``); the merchant domain is the + ``data-dtld`` attribute; the clickable card's anchor is the destination; + prices are the current (``.VbBaOe``) and struck-through original + (``.tWaJ3e``) amounts, with a ``$`` regex fallback. + """ + products: list[PaidProduct] = [] + for pla in doc.css("div.pla-unit"): + title = _text(_one(pla, ".bXPcId")) + anchor = _one(pla, "a.pla-unit-single-clickable-target") + url = anchor.attrib.get("href") if anchor is not None else None + if not title or not url: + continue + prices: list[str] = [] + for sel in (".VbBaOe", ".tWaJ3e"): + price = _text(_one(pla, sel)) + if price and price not in prices: + prices.append(price) + if not prices: + prices = _PRICE_RE.findall(_text(pla) or "") + products.append( + PaidProduct( + title=title, + url=url, + displayedUrl=pla.attrib.get("data-dtld"), + description=_text(_one(pla, ".CsnLnf")), + prices=prices, + ) + ) + return products + + +def parse_related_queries(doc: Adaptor) -> list[RelatedQuery]: + """Bottom "related searches" block (``a.ngTNl``).""" + out: list[RelatedQuery] = [] + for a in doc.css("a.ngTNl"): + title = _text(a) + href = _abs_url(a.attrib.get("href")) + if title and href: + out.append(RelatedQuery(title=title, url=href)) + return out + + +def _ai_generated_text(root) -> str | None: + """Prose of an AI-generated block: paragraphs + bullets, in page order. + + Both the SERP AI Overview and PAA AI answers are built from ``.n6owBd`` + paragraphs and ``li.Z1qcYe`` bullets, with inline source chips — + ``span.WBgIic`` "YouTube +2" pills — mixed into the text; the chips are + stripped out. Google renders some blocks twice (collapsed + expanded), so + repeated fragments are dropped. + """ + parts: list[str] = [] + for block in root.css(".n6owBd, li.Z1qcYe"): + text = _text(block) + if not text: + continue + for chip in block.css("span.WBgIic"): + chip_text = _text(chip) + if chip_text: + text = text.replace(chip_text, " ") + text = re.sub(r"\s+", " ", text).strip() + if text and text not in parts: + parts.append(text) + return " ".join(parts) or None + + +def _paa_answer(pair) -> str | None: + """Answer text of an *expanded* PAA pair, or ``None`` if not loaded. + + Two shapes exist: a classic featured-snippet answer (``.hgKElc``) and an + AI-generated one (see :func:`_ai_generated_text`). + """ + snippet = _text(_one(pair, ".hgKElc")) + if snippet: + return snippet + return _ai_generated_text(pair) + + +def _paa_source(pair) -> tuple[str | None, str | None]: + """(url, title) of a snippet answer's source link; (None, None) otherwise. + + Snippet answers cite one page via an anchor wrapping an ``h3``; AI answers + cite many pages inline and carry no single source, matching the actor's + null url/title there. Google's ``#:~:text=`` highlight fragment is an + artifact of the expansion click, not part of the source URL. + """ + for a in pair.css("a[href^='http']"): + href = a.attrib.get("href") or "" + title = _text(_one(a, "h3")) + if href and title and "google.com" not in href: + return href.split("#:~:", 1)[0], title + return None, None + + +def parse_ai_overview(doc: Adaptor) -> AiOverviewResult | None: + """The inline AI Overview widget (``#m-x-content``), or ``None``. + + ``content`` is the generated prose (paragraphs + bullets, source chips + stripped); ``sources`` come from :func:`_ai_sources`. A widget that only + says "not available" parses to ``None``. + """ + box = _one(doc, "#m-x-content") + if box is None: + return None + # Expanded PAA questions embed the same widget; that's the pair's answer, + # not the page's AI Overview. + ancestor = box.parent + while ancestor is not None: + if "related-question-pair" in (ancestor.attrib.get("class") or ""): + return None + ancestor = ancestor.parent + content = _ai_generated_text(box) + if not content: + return None + return AiOverviewResult(content=content, sources=_ai_sources(box)) + + +def _ai_sources(root) -> list[AiSource]: + """Cited sources of an AI answer (AI Overview and AI Mode share the DOM). + + ``li.h7wxwc`` list items: anchor ``a.NDNGvf`` carries the URL and a + "<title>. Opens in new tab." aria-label; ``.vhJ6Pe`` is the snippet and + the thumbnail URL sits in the lazy image's ``data-src``. Google renders + the list twice (collapsed rail + expanded sheet), so dedupe by URL. + """ + sources: list[AiSource] = [] + seen: set[str] = set() + for li in root.css("li.h7wxwc"): + anchor = _one(li, "a.NDNGvf") or _one(li, "a[href^='http']") + if anchor is None: + continue + url = anchor.attrib.get("href") + if not url or url in seen: + continue + seen.add(url) + title = (anchor.attrib.get("aria-label") or "").removesuffix( + ". Opens in new tab." + ).strip() or None + image = _one(li, "img[data-src]") + sources.append( + AiSource( + title=title, + url=url, + description=_text(_one(li, ".vhJ6Pe")), + imageUrl=image.attrib.get("data-src") if image is not None else None, + ) + ) + return sources + + +def parse_ai_mode(html: str, *, query: str, url: str) -> AiModeResult | None: + """Parse a Google AI Mode page (``/search?udm=50``) into an AiModeResult. + + The conversational answer lives in the ``[data-subtree='aimc']`` + container, built from the same blocks as the AI Overview (``.n6owBd`` + paragraphs + ``li.Z1qcYe`` bullets, sources in ``li.h7wxwc``), so the + extractors are shared. Returns ``None`` when the answer container is + missing or empty (answer failed to stream before network-idle). + """ + doc = Adaptor(html) + box = _one(doc, "[data-subtree='aimc']") + if box is None: + return None + text = _ai_generated_text(box) + if not text: + return None + return AiModeResult(text=text, sources=_ai_sources(box), query=query, url=url) + + +def parse_people_also_ask(doc: Adaptor) -> list[PeopleAlsoAskItem]: + """People-also-ask pairs (``div.related-question-pair[data-q]``). + + The fetch layer clicks the initially-served questions open (see + ``fetch._expand_paa``), so expanded pairs carry answers here. Expansion + appends extra collapsed questions; those emit with ``answer=None``. + """ + out: list[PeopleAlsoAskItem] = [] + seen: set[str] = set() + for pair in doc.css("div.related-question-pair"): + question = pair.attrib.get("data-q") or _text(_one(pair, "span")) + if not question or question in seen: + continue + seen.add(question) + url, title = _paa_source(pair) + out.append( + PeopleAlsoAskItem( + question=question, + answer=_paa_answer(pair), + url=url, + title=title, + date=_inline_date(pair), + ) + ) + return out + + +# --------------------------------------------------------------------------- +# Mobile lightweight layout (phone UAs). Verified live, Jul 2026: +# +# * result/section block ....... ``div.Gx5Zad`` (organic ones contain ``h3``) +# * anchor title ............... ``.UFvD1`` +# * displayed breadcrumb ....... ``.AKfAgb`` +# * description ................ ``.H66NU`` ("Jun 14, 2026 · snippet…") +# * PAA question ............... ``.bN5znb`` inside the "People also ask" +# block; answers are pre-rendered in the collapsed accordions (no clicks) +# * related searches ........... ``a.HA0EX[href^='/search']`` +# * AI Overview ................ block headed "AI Overview"; full text is +# pre-rendered behind the Show more clamp +# +# Result links are Google redirects (``/url?q=<target>&sa=…``). There is no +# ``#result-stats`` and no marked ad/sitelink blocks in this layout. +# --------------------------------------------------------------------------- + +_MOBILE_AIO_CHROME = ( + "AI Overview", + "Can't generate an AI overview right now. Try again later.", + "Show more", + "Show less", + "Learn more", +) + + +def _mobile_target(anchor) -> str | None: + """Landing URL of a mobile redirect anchor (``/url?q=<target>&…``).""" + href = anchor.attrib.get("href") or "" + if href.startswith("/url?"): + return (parse_qs(urlsplit(href).query).get("q") or [None])[0] + return href if href.startswith("http") else None + + +def _mobile_section(doc: Adaptor, header: str): + """The ``Gx5Zad`` block whose text starts with ``header``, or ``None``.""" + for block in doc.css("div.Gx5Zad"): + text = _text(block) or "" + if text.startswith(header): + return block + return None + + +def _mobile_organic(doc: Adaptor) -> list[OrganicResult]: + """Blocks carrying an ``h3`` title (PAA/AIO embeds carry none). + + ``ponytail:`` emphasizedKeywords and siteLinks aren't distinguishable in + this layout and emit empty; upgrade path is a fresh capture if the actor's + mobile output proves richer. + """ + results: list[OrganicResult] = [] + for block in doc.css("div.Gx5Zad"): + title = _text(_one(block, "h3")) + anchor = _one(block, "a[href^='/url?']") + url = _mobile_target(anchor) if anchor is not None else None + if not title or not url: + continue + raw_desc = _text(_one(block, ".H66NU")) + date_match = _DATE_PREFIX_RE.match(raw_desc or "") + date = re.sub(r"[\s·]+$", "", date_match.group()) if date_match else None + results.append( + OrganicResult( + title=title, + url=url, + displayedUrl=_text(_one(block, ".AKfAgb")), + description=_DATE_PREFIX_RE.sub("", raw_desc or "") or None, + date=date or None, + position=len(results) + 1, + ) + ) + return results + + +def _mobile_related(doc: Adaptor) -> list[RelatedQuery]: + out: list[RelatedQuery] = [] + for a in doc.css("a.HA0EX[href^='/search']"): + title = _text(a) + href = _abs_url(a.attrib.get("href")) + if title and href: + out.append(RelatedQuery(title=title, url=href)) + return out + + +def _mobile_paa(doc: Adaptor) -> list[PeopleAlsoAskItem]: + """Accordion entries of the "People also ask" block (answers pre-loaded).""" + section = _mobile_section(doc, "People also ask") + if section is None: + return [] + out: list[PeopleAlsoAskItem] = [] + for accordion in section.css(".Z99dvb"): + question = _text(_one(accordion, ".bN5znb")) + if not question: + continue + answer = _text(_one(accordion, ".hgMFsd")) + anchor = _one(accordion, "a[href^='/url?']") + url = _mobile_target(anchor) if anchor is not None else None + title = _text(_one(anchor, ".UFvD1")) if anchor is not None else None + out.append( + PeopleAlsoAskItem(question=question, answer=answer, url=url, title=title) + ) + return out + + +def _mobile_ai_overview(doc: Adaptor) -> AiOverviewResult | None: + """The "AI Overview" block; its full text sits behind a CSS-only clamp. + + The prose is interleaved with widget chrome (header, error stub, the + Show more/less toggle), so the block text is taken whole and the known + chrome strings are stripped out. + + ponytail: source-link titles stay inline in ``content`` (they're + interleaved with the prose in this layout, with no clean container to + split on); the upgrade path is per-child-div walking of the expansion. + """ + section = _mobile_section(doc, "AI Overview") + if section is None: + return None + content = _text(section) or "" + for chrome in _MOBILE_AIO_CHROME: + content = content.replace(chrome, " ") + content = re.sub(r"\s+", " ", content).strip() + if not content: + return None + sources: list[AiSource] = [] + seen: set[str] = set() + for anchor in section.css("a[href^='/url?']"): + url = _mobile_target(anchor) + title = _text(_one(anchor, ".UFvD1")) + # google.com targets are widget chrome ("Learn more"), not citations. + if url and url not in seen and "google.com" not in url: + seen.add(url) + sources.append(AiSource(title=title, url=url)) + return AiOverviewResult(content=content, sources=sources) + + +def parse_serp(html: str, *, include_icons: bool = False) -> SerpItem: + """Parse a full rendered SERP page into a :class:`SerpItem`. + + Provenance (``searchQuery``) is stamped by the caller; this fills the + result blocks. Missing sections yield empty lists, never errors. The + mobile lightweight layout (no ``#rso``, ``Gx5Zad`` blocks) dispatches to + the ``_mobile_*`` extractors (which carry no favicon imgs, so + ``include_icons`` is a desktop-only concern). + """ + doc = Adaptor(html) + if _one(doc, "#rso") is None and doc.css("div.Gx5Zad"): + related = _mobile_related(doc) + return SerpItem( + organicResults=_mobile_organic(doc), + relatedQueries=related, + peopleAlsoAsk=_mobile_paa(doc), + aiOverview=_mobile_ai_overview(doc), + suggestedResults=[ + SuggestedResult(title=r.title, url=r.url, position=i) + for i, r in enumerate(related, start=1) + ], + ) + related = parse_related_queries(doc) + return SerpItem( + resultsTotal=parse_results_total(doc), + organicResults=parse_organic(doc, include_icons=include_icons), + paidResults=parse_paid_results(doc, include_icons=include_icons), + paidProducts=parse_paid_products(doc), + relatedQueries=related, + peopleAlsoAsk=parse_people_also_ask(doc), + aiOverview=parse_ai_overview(doc), + # The actor synthesizes suggestedResults from the related-searches + # block, re-shaped as typed/positioned result entries. + suggestedResults=[ + SuggestedResult(title=r.title, url=r.url, position=i) + for i, r in enumerate(related, start=1) + ], + ) diff --git a/surfsense_backend/app/proprietary/platforms/google_search/query_builder.py b/surfsense_backend/app/proprietary/platforms/google_search/query_builder.py new file mode 100644 index 000000000..85869652f --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_search/query_builder.py @@ -0,0 +1,167 @@ +"""Pure query/URL composition for the Google Search scraper. + +The ``queries`` input is a newline-separated string mixing plain search terms +and full Google Search URLs (both accepted verbatim by the Apify actor). This +module classifies each entry, folds the advanced-filter fields into search +operators (``site:``, ``intitle:``, ``filetype:``, ``before:``/``after:``, …), +and builds the final search URL — all pure string work, no network, so it is +the part of the skeleton that is implemented and unit-tested up front (like +``url_resolver`` in the Maps scraper). +""" + +from __future__ import annotations + +import re +from dataclasses import dataclass +from datetime import UTC, datetime, timedelta +from urllib.parse import parse_qs, quote_plus, urlparse + +from .schemas import GoogleSearchScrapeInput + +# Google redirected every country ccTLD (google.es, google.co.uk, …) to +# google.com in 2025; localization is controlled by the ``gl`` URL parameter. +# ponytail: we always hit google.com + gl=<countryCode> instead of keeping a +# ~240-entry ccTLD table; the searchQuery.domain output field still reports +# google.com, which is what the redirect would land on anyway. +_GOOGLE_DOMAIN = "google.com" + +_RESULTS_PER_PAGE = 10 + +# Relative date like "8 days", "3 months" (Apify's beforeDate/afterDate). +_RELATIVE_DATE_RE = re.compile(r"^\s*(\d+)\s*(day|week|month|year)s?\s*$", re.I) +_ABSOLUTE_DATE_RE = re.compile(r"^\s*\d{4}-\d{2}-\d{2}\s*$") + +# ponytail: calendar-exact month/year arithmetic buys nothing for a search +# date *filter*; 30/365-day approximations are within Google's own precision. +_UNIT_DAYS = {"day": 1, "week": 7, "month": 30, "year": 365} + + +@dataclass(frozen=True) +class QueryEntry: + """One line of the ``queries`` input, classified.""" + + kind: str # "term" | "url" + value: str # the search term, or the full Google Search URL + + +def parse_queries(queries: str) -> list[QueryEntry]: + """Split the newline-separated ``queries`` input into classified entries.""" + entries: list[QueryEntry] = [] + for raw in queries.splitlines(): + line = raw.strip() + if not line: + continue + if _is_search_url(line): + entries.append(QueryEntry("url", line)) + else: + entries.append(QueryEntry("term", line)) + return entries + + +def _is_search_url(line: str) -> bool: + if not line.lower().startswith(("http://", "https://")): + return False + parsed = urlparse(line) + host = parsed.hostname or "" + return "google." in host and parsed.path.startswith("/search") + + +def term_from_url(url: str) -> str | None: + """The ``q`` parameter of a Google Search URL (for provenance stamping).""" + return parse_qs(urlparse(url).query).get("q", [None])[0] + + +def resolve_date(value: str, *, now: datetime | None = None) -> str | None: + """Normalize an Apify date input to ``YYYY-MM-DD``. + + Accepts an absolute date (kept as-is) or a relative one like ``"3 months"`` + (resolved from now into the past, in UTC per the Apify spec). Returns + ``None`` for unparseable input rather than guessing. + """ + if _ABSOLUTE_DATE_RE.match(value): + return value.strip() + match = _RELATIVE_DATE_RE.match(value) + if not match: + return None + count, unit = int(match.group(1)), match.group(2).lower() + moment = (now or datetime.now(UTC)) - timedelta(days=count * _UNIT_DAYS[unit]) + return moment.strftime("%Y-%m-%d") + + +def augment_query(term: str, input_model: GoogleSearchScrapeInput) -> str: + """Fold the advanced-filter fields into the search term as operators. + + Mirrors Apify's documented behavior: ``forceExactMatch`` wraps the whole + term in quotes; ``site:`` takes precedence over ``related:``; word filters + use one ``intitle:``/``intext:``/``inurl:`` per word (never the + ``allin*:`` forms); multiple ``fileTypes`` are OR-joined; ``beforeDate``/ + ``afterDate`` become ``before:``/``after:`` operators. + """ + parts: list[str] = [] + parts.append(f'"{term}"' if input_model.forceExactMatch else term) + + if input_model.site: + parts.append(f"site:{input_model.site}") + elif input_model.relatedToSite: + parts.append(f"related:{input_model.relatedToSite}") + + for op, words in ( + ("intitle", input_model.wordsInTitle), + ("intext", input_model.wordsInText), + ("inurl", input_model.wordsInUrl), + ): + for word in words: + value = f'"{word}"' if " " in word else word + parts.append(f"{op}:{value}") + + if input_model.fileTypes: + parts.append(" OR ".join(f"filetype:{ft}" for ft in input_model.fileTypes)) + + if input_model.beforeDate: + resolved = resolve_date(input_model.beforeDate) + if resolved: + parts.append(f"before:{resolved}") + if input_model.afterDate: + resolved = resolve_date(input_model.afterDate) + if resolved: + parts.append(f"after:{resolved}") + + return " ".join(parts) + + +def build_search_url( + term: str, input_model: GoogleSearchScrapeInput, *, page: int = 1 +) -> str: + """The full ``google.com/search`` URL for one query page (1-based).""" + params: list[tuple[str, str]] = [("q", augment_query(term, input_model))] + if page > 1: + params.append(("start", str((page - 1) * _RESULTS_PER_PAGE))) + if input_model.countryCode: + params.append(("gl", input_model.countryCode.lower())) + if input_model.searchLanguage: + params.append(("lr", f"lang_{input_model.searchLanguage}")) + if input_model.languageCode: + params.append(("hl", input_model.languageCode)) + if input_model.locationUule: + params.append(("uule", input_model.locationUule)) + if input_model.quickDateRange: + params.append(("tbs", f"qdr:{input_model.quickDateRange}")) + if input_model.includeUnfilteredResults: + params.append(("filter", "0")) + query_string = "&".join(f"{k}={quote_plus(v)}" for k, v in params) + return f"https://www.{_GOOGLE_DOMAIN}/search?{query_string}" + + +def build_ai_mode_url(term: str, input_model: GoogleSearchScrapeInput) -> str: + """The Google AI Mode URL (``udm=50``) for one query. + + AI Mode takes the plain conversational query — search operators and + result-shaping parameters don't apply — plus localization. + """ + params: list[tuple[str, str]] = [("q", term), ("udm", "50")] + if input_model.countryCode: + params.append(("gl", input_model.countryCode.lower())) + if input_model.languageCode: + params.append(("hl", input_model.languageCode)) + query_string = "&".join(f"{k}={quote_plus(v)}" for k, v in params) + return f"https://www.{_GOOGLE_DOMAIN}/search?{query_string}" diff --git a/surfsense_backend/app/proprietary/platforms/google_search/schemas.py b/surfsense_backend/app/proprietary/platforms/google_search/schemas.py new file mode 100644 index 000000000..be8b5ecc2 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_search/schemas.py @@ -0,0 +1,252 @@ +# ruff: noqa: N815 - field names intentionally mirror the Apify camelCase spec +"""Apify-compatible input/output models for the Google Search results scraper. + +The models mirror the public Apify "Google Search Results Scraper" actor spec +so the endpoint can be a drop-in. The skeleton accepts the full input surface; +output fields the implementation does not source yet are emitted as +``None``/``[]``/``{}`` so parity is additive. + +Excluded on purpose (Apify implements them by piping into *other* actors / +third-party data brokers, out of scope here): ``perplexitySearch``, +``chatGptSearch``, ``copilotSearch``, ``geminiSearch``, ``linkProspecting``, +and the business-leads enrichment trio (``maximumLeadsEnrichmentRecords``, +``leadsEnrichmentDepartments``, ``verifyLeadsEnrichmentEmails``). They are +still *accepted* via ``extra="allow"`` — a verbatim Apify payload validates — +but they are ignored, not modeled. + +Outputs use ``extra="allow"`` on purpose: it lets us grow the output shape +without breaking existing consumers, exactly like the YouTube/Maps models. +""" + +from __future__ import annotations + +from typing import Any, Literal + +from pydantic import BaseModel, ConfigDict, Field + +Device = Literal["DESKTOP", "MOBILE"] + + +class AiOverviewAddon(BaseModel): + """``aiOverview`` add-on toggle object (Apify nests it).""" + + model_config = ConfigDict(extra="allow") + + scrapeFullAiOverview: bool = False + + +class AiModeAddon(BaseModel): + """``aiModeSearch`` add-on toggle object (Google AI Mode on google.com).""" + + model_config = ConfigDict(extra="allow") + + enableAiMode: bool = False + + +class GoogleSearchScrapeInput(BaseModel): + """Full Apify "Google Search Results Scraper" input surface (minus the + other-actor add-ons; see module docstring). + + Semantics follow Apify: ``queries`` is a newline-separated string mixing + plain search terms and full Google Search URLs; ``maxPagesPerQuery=None`` + means one page; add-on toggles default off; ``saveHtmlToKeyValueStore`` + defaults **on** (matching the actor). + """ + + model_config = ConfigDict(extra="allow") + + # Discovery + queries: str + maxPagesPerQuery: int | None = Field(default=None, ge=1) + + # AI add-ons ($) + aiOverview: AiOverviewAddon = Field(default_factory=AiOverviewAddon) + aiModeSearch: AiModeAddon = Field(default_factory=AiModeAddon) + + # Paid results add-on ($) + focusOnPaidAds: bool = False + + # Localization + countryCode: str | None = None + searchLanguage: str = "" + languageCode: str = "" + locationUule: str | None = None + + # Advanced search filters (composed into the query string) + forceExactMatch: bool = False + site: str | None = None + relatedToSite: str | None = None + wordsInTitle: list[str] = Field(default_factory=list, max_length=32) + wordsInText: list[str] = Field(default_factory=list, max_length=32) + wordsInUrl: list[str] = Field(default_factory=list, max_length=32) + quickDateRange: str | None = None + beforeDate: str | None = None + afterDate: str | None = None + fileTypes: list[str] = Field(default_factory=list, max_length=10) + + # Result shaping + mobileResults: bool = False + includeUnfilteredResults: bool = False + saveHtml: bool = False + saveHtmlToKeyValueStore: bool = True + includeIcons: bool = False + + +class SearchQuery(BaseModel): + """Provenance block stamped on every SERP item (``searchQuery``).""" + + model_config = ConfigDict(extra="allow") + + term: str | None = None + url: str | None = None + device: Device = "DESKTOP" + page: int | None = None + type: str = "SEARCH" + domain: str | None = None + countryCode: str | None = None + languageCode: str | None = None + locationUule: str | None = None + + +class RelatedQuery(BaseModel): + model_config = ConfigDict(extra="allow") + + title: str | None = None + url: str | None = None + + +class SiteLink(BaseModel): + model_config = ConfigDict(extra="allow") + + title: str | None = None + url: str | None = None + description: str | None = None + + +class OrganicResult(BaseModel): + model_config = ConfigDict(extra="allow") + + title: str | None = None + url: str | None = None + displayedUrl: str | None = None + description: str | None = None + date: str | None = None + emphasizedKeywords: list[str] = Field(default_factory=list) + siteLinks: list[SiteLink] = Field(default_factory=list) + productInfo: dict[str, Any] = Field(default_factory=dict) + icon: str | None = None # Base64 image data, only when includeIcons + type: str = "organic" + position: int | None = None + + +class PaidResult(BaseModel): + model_config = ConfigDict(extra="allow") + + title: str | None = None + url: str | None = None + displayedUrl: str | None = None + description: str | None = None + emphasizedKeywords: list[str] = Field(default_factory=list) + siteLinks: list[SiteLink] = Field(default_factory=list) + icon: str | None = None + type: str = "paid" + adPosition: int | None = None + + +class PaidProduct(BaseModel): + model_config = ConfigDict(extra="allow") + + title: str | None = None + url: str | None = None + displayedUrl: str | None = None + description: str | None = None + prices: list[str] = Field(default_factory=list) + + +class PeopleAlsoAskItem(BaseModel): + model_config = ConfigDict(extra="allow") + + question: str | None = None + answer: str | None = None + url: str | None = None + title: str | None = None + date: str | None = None + + +class SuggestedResult(BaseModel): + """A relatedQueries entry re-emitted in result shape (Apify synthesizes + suggestedResults from the related-searches block, 1-based positions).""" + + model_config = ConfigDict(extra="allow") + + title: str | None = None + url: str | None = None + type: str = "organic" + position: int | None = None + + +class AiSource(BaseModel): + """A page cited by an AI answer (AI Overview / AI Mode).""" + + model_config = ConfigDict(extra="allow") + + title: str | None = None + url: str | None = None + description: str | None = None + imageUrl: str | None = None + + +class AiOverviewResult(BaseModel): + """The AI Overview block that appears inline on some SERPs.""" + + model_config = ConfigDict(extra="allow") + + content: str | None = None + sources: list[AiSource] = Field(default_factory=list) + + +class AiModeResult(BaseModel): + """One Google AI Mode answer (the ``aiModeResult`` add-on output).""" + + model_config = ConfigDict(extra="allow") + + engine: str = "AI Mode" + provider: str = "Google" + text: str | None = None + sources: list[AiSource] = Field(default_factory=list) + query: str | None = None + kvsHtmlUrl: str | None = None + url: str | None = None + + +class SerpItem(BaseModel): + """Apify "Google Search Results Scraper" output item (one per SERP page). + + Mirrors the actor's example JSON. Unsourced fields default to + ``None``/``[]``; ``extra="allow"`` keeps the contract open. + """ + + model_config = ConfigDict(extra="allow") + + searchQuery: SearchQuery = Field(default_factory=SearchQuery) + resultsTotal: int | None = None + + organicResults: list[OrganicResult] = Field(default_factory=list) + paidResults: list[PaidResult] = Field(default_factory=list) + paidProducts: list[PaidProduct] = Field(default_factory=list) + relatedQueries: list[RelatedQuery] = Field(default_factory=list) + peopleAlsoAsk: list[PeopleAlsoAskItem] = Field(default_factory=list) + suggestedResults: list[SuggestedResult] = Field(default_factory=list) + + # AI add-ons (populated only when the respective add-on is enabled / + # the block appears on the page) + aiOverview: AiOverviewResult | None = None + aiModeResult: AiModeResult | None = None + + # HTML capture (saveHtml / saveHtmlToKeyValueStore) + html: str | None = None + htmlSnapshotUrl: str | None = None + + def to_output(self) -> dict[str, Any]: + """Serialize to the flat dict shape Apify emits (keeps extras).""" + return self.model_dump(exclude_none=False) diff --git a/surfsense_backend/app/proprietary/platforms/google_search/scraper.py b/surfsense_backend/app/proprietary/platforms/google_search/scraper.py new file mode 100644 index 000000000..24b50ff9c --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/google_search/scraper.py @@ -0,0 +1,192 @@ +"""Orchestrator for the Google Search results scraper (Apify-compatible). + +Skeleton mirroring the YouTube/Maps scraper layout: the core is the async +generator :func:`iter_serps` (one item per SERP page), :func:`scrape_serps` is +a thin collector with a caller-supplied ``limit`` guard. Each ``queries`` line +dispatches to a per-kind flow (search term / direct Google Search URL) which +is currently a no-op — each will be implemented progressively, exactly like +the YouTube and Maps flows were. +""" + +from __future__ import annotations + +import asyncio +import logging +from collections.abc import AsyncIterator +from typing import Any + +from .fetch import fetch_serp_html +from .parsers import parse_ai_mode, parse_serp +from .query_builder import ( + build_ai_mode_url, + build_search_url, + parse_queries, + term_from_url, +) +from .schemas import GoogleSearchScrapeInput, SearchQuery, SerpItem + +logger = logging.getLogger(__name__) + +__all__ = ["iter_serps", "scrape_serps"] + +# ``focusOnPaidAds``: Google serves ads non-deterministically, so a single +# render of a commercial query can come back with zero ads. When the add-on is +# on we re-render (fresh IP each time) until ads appear, capped here. +# ponytail: caps at 3 tries — each is a full ~10 s render, and beyond a few +# tries an ad-less result is genuinely ad-less, not just unlucky. +_PAID_ADS_MAX_TRIES = 3 + + +def _search_query_stamp( + term: str | None, url: str, page: int, input_model: GoogleSearchScrapeInput +) -> SearchQuery: + """The ``searchQuery`` provenance block Apify stamps on every item.""" + return SearchQuery( + term=term, + url=url, + device="MOBILE" if input_model.mobileResults else "DESKTOP", + page=page, + domain="google.com", + countryCode=(input_model.countryCode or "US").upper(), + languageCode=input_model.languageCode or None, + locationUule=input_model.locationUule, + ) + + +async def _serp_page_flow( + url: str, input_model: GoogleSearchScrapeInput +) -> SerpItem | None: + """Fetch and parse one SERP page into a :class:`SerpItem`. + + Renders ``url`` through the proxy and parses organic/paid/related/PAA blocks. + Returns ``None`` when the page could not be fetched (all IPs walled), so the + caller stops paging. + + With ``focusOnPaidAds`` we re-render up to :data:`_PAID_ADS_MAX_TRIES` times + until ads appear, returning the first ad-bearing SERP. If none surface, we + return the richest ad-less render seen (a render occasionally comes back + with the results container but no parsable organic blocks, so "last" is not + a safe fallback). + """ + tries = _PAID_ADS_MAX_TRIES if input_model.focusOnPaidAds else 1 + best: SerpItem | None = None + for attempt in range(1, tries + 1): + html = await fetch_serp_html(url, mobile=input_model.mobileResults) + if html is None: + logger.warning("[google_search] no SERP HTML for %s", url) + break + # Rendered SERPs are ~1MB; parse off-loop to keep the server responsive. + item = await asyncio.to_thread( + parse_serp, html, include_icons=input_model.includeIcons + ) + if input_model.saveHtml: + item.html = html + if not input_model.focusOnPaidAds or item.paidResults or item.paidProducts: + return item + # No ads yet; keep the render with the most organic results as fallback. + if best is None or len(item.organicResults) > len(best.organicResults): + best = item + logger.info( + "[google_search] focusOnPaidAds: no ads on try %d/%d, re-rendering", + attempt, + tries, + ) + return best + + +async def _term_flow( + term: str, input_model: GoogleSearchScrapeInput +) -> AsyncIterator[dict[str, Any]]: + """Search-term discovery: one item per result page, up to + ``maxPagesPerQuery``, stopping early when a page has no next page.""" + pages = input_model.maxPagesPerQuery or 1 + for page in range(1, pages + 1): + url = build_search_url(term, input_model, page=page) + item = await _serp_page_flow(url, input_model) + if item is None: + return + item.searchQuery = _search_query_stamp(term, url, page, input_model) + yield item.to_output() + # An empty organic page means we've run past the last result page. + if not item.organicResults: + return + + +async def _url_flow( + url: str, input_model: GoogleSearchScrapeInput +) -> AsyncIterator[dict[str, Any]]: + """Direct Google Search URL: scraped as-is (the URL's own parameters win + over the localization inputs). ``maxPagesPerQuery`` paging (rewriting the + ``start`` parameter) lands with the fetch implementation.""" + term = term_from_url(url) + item = await _serp_page_flow(url, input_model) + if item is None: + return + item.searchQuery = _search_query_stamp(term, url, 1, input_model) + yield item.to_output() + + +async def _ai_mode_flow( + term: str, input_model: GoogleSearchScrapeInput +) -> AsyncIterator[dict[str, Any]]: + """Google AI Mode add-on: one conversational AI answer (+ cited sources) + per query, emitted as its own item under ``aiModeResult``. + + Renders ``google.com/search?udm=50`` (the answer streams into + ``[data-subtree='aimc']`` before network-idle). A page whose answer + failed to generate parses to ``None`` and emits nothing. + """ + url = build_ai_mode_url(term, input_model) + html = await fetch_serp_html(url, mobile=input_model.mobileResults) + if html is None: + logger.warning("[google_search] no AI Mode HTML for %r", term) + return + result = await asyncio.to_thread(parse_ai_mode, html, query=term, url=url) + if result is None: + logger.info("[google_search] AI Mode answer missing for %r", term) + return + item = SerpItem(aiModeResult=result) + if input_model.saveHtml: + item.html = html + item.searchQuery = _search_query_stamp(term, url, 1, input_model) + yield item.to_output() + + +async def iter_serps( + input_model: GoogleSearchScrapeInput, +) -> AsyncIterator[dict[str, Any]]: + """Yield Apify-shaped SERP items for every line of ``queries``. + + Plain terms are searched (with the advanced filters folded in as search + operators); full Google Search URLs are scraped as-is. When the AI Mode + add-on is enabled, each term additionally yields an AI Mode item. + """ + for entry in parse_queries(input_model.queries): + if entry.kind == "url": + async for item in _url_flow(entry.value, input_model): + yield item + continue + async for item in _term_flow(entry.value, input_model): + yield item + if input_model.aiModeSearch.enableAiMode: + async for item in _ai_mode_flow(entry.value, input_model): + yield item + + +async def scrape_serps( + input_model: GoogleSearchScrapeInput, *, limit: int | None = None +) -> list[dict[str, Any]]: + """Collect :func:`iter_serps` into a list, honoring an optional ``limit``. + + ``limit`` is a request-time policy guard (used by the route), NOT a + ceiling in the streaming core. + """ + from app.capabilities.core.progress import emit_progress + + results: list[dict[str, Any]] = [] + async for item in iter_serps(input_model): + results.append(item) + emit_progress("scraping", current=len(results), total=limit, unit="page") + if limit is not None and len(results) >= limit: + break + return results diff --git a/surfsense_backend/app/proprietary/platforms/reddit/README.md b/surfsense_backend/app/proprietary/platforms/reddit/README.md new file mode 100644 index 000000000..39188ff07 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/reddit/README.md @@ -0,0 +1,86 @@ +# Reddit scraper (anonymous, no browser) + +Platform-native Reddit scraper (anonymous, no browser). Standalone +module: it depends only on `app.utils.proxy` + `scrapling` and exposes a stable +public API. It is **not** wired into routes, `connector_service.py`, ingestion, +or Celery — integration later is a thin `reddit_routes.py` + one `include_router` +line, identical to the `youtube` / `google_maps` siblings. + +## Approach + +Reddit deprecated **cold** unauthenticated `.json` (r/modnews, May 2026): a bare +anonymous GET to `/…/.json` now 403s. What still works — and what maintained +anonymous scrapers (e.g. yt-dlp) now do — is: + +> Bootstrap an anonymous session cookie (`loid`) with one plain HTTP GET to +> `www.reddit.com/svc/shreddit/<slug>`, then GET +> `www.reddit.com/<path>/.json?raw_json=1` through that same +> Chrome-impersonated, sticky-IP session. Rotate the residential IP + re-warm on +> block. + +`loid` is Reddit's equivalent of the Google Maps scraper's `NID`: an anonymous, +logged-out id that unlocks the public API. **No browser, no Chromium, no +`solve_cloudflare`** — this collapses Reddit onto the cheap HTTP tier the +siblings already use. Confirmed live 2026-07-04 through a residential proxy (see +`scripts/e2e_reddit_scraper.py` step 0): `svc/shreddit` warm-up → 200 + `loid` +(with `old.reddit` as a fallback), then sequential `.json` fetches → 200. + +## Anonymous only — no authentication, ever + +No OAuth, no login, no `reddit_session` account cookie, no Devvit. The only +cookie held is the anonymous `loid`. There is **no** authenticate option in the +input surface or the fetch layer, by design. A persistent block after IP +rotation surfaces as `RedditAccessBlockedError` (mirrors google_maps' +`SignInRequiredError`) rather than a silent empty result. + +## Module map + +| File | Responsibility | +|---|---| +| `__init__.py` | Public exports: `RedditScrapeInput`, `RedditItem`, `iter_reddit`, `scrape_reddit`, `RedditAccessBlockedError`. | +| `schemas.py` | `RedditScrapeInput` (`extra="allow"`, no auth fields) + single flat `RedditItem` keyed by `dataType` + `StartUrl`. | +| `fetch.py` | The core. Rotate-on-block sticky `_RotatingSession` + `_current_session` ContextVar + `warm_session` (loid) + `fetch_json`. No browser imports. | +| `url_resolver.py` | Classify a Reddit URL → `post`/`subreddit`/`user`/`search`; non-Reddit → `None`. | +| `parsers.py` | Pure JSON→item mapping (`parse_post`, `parse_comment`, `parse_community`, `flatten_comments`, `children`/`after`). I/O-free. | +| `scraper.py` | Orchestrator: `_post_flow`/`_subreddit_flow`/`_user_flow`/`_search_flow`, `_paginate_listing`, `_dispatch`, `fan_out`, `iter_reddit`, `scrape_reddit`. | + +## How it works + +1. `iter_reddit` resolves `startUrls` (or builds a search per `searches` entry) + and fans them out on a pool of warm proxy sessions (`fan_out`, 16-way). Each + worker opens one sticky-IP session and warms `loid` once, reusing it across + the sequential targets it pulls. +2. Each flow pages its listing via the `after` cursor (`_paginate_listing`), + filtering by child `kind`, the NSFW gate, and `postDateLimit`. +3. `fetch_json` warms `loid` on first use, rotates the IP + re-warms on 403, + backs off on 429, returns `None` on 404, and paces each sticky IP to ~1 req/s + to stay under Reddit's per-IP rate limit. +4. Parsers map raw `.json` things to flat `RedditItem`s; the orchestrator stamps + `scrapedAt` and applies caps as request-time policy. + +## Testing + +- Offline unit tests: `tests/unit/platforms/reddit/` — `test_skeleton.py` + (schema + URL resolver), `test_parsers.py` (fixture-pinned mapping), + `test_fetch_resilience.py` (warm / rotate / backoff loop with fake sessions, + no network). +- Live e2e (needs network + residential proxy): `scripts/e2e_reddit_scraper.py` + — step 0 is the go/no-go `loid` probe; later steps exercise the flows and dump + trimmed fixtures into `tests/unit/platforms/reddit/fixtures/`. + +```bash +cd surfsense_backend +.venv/bin/python -m pytest tests/unit/platforms/reddit/ +.venv/bin/python scripts/e2e_reddit_scraper.py # live; regenerates fixtures +``` + +## TODO / out of scope (v1) + +- Sticky-IP provider support: the fetch layer assumes a sticky exit IP per + session (the `loid` binds to it). The `dataimpulse` provider does not yet emit + a sticky `__sid.<id>` username suffix — add it (proxy layer) before high-volume + production use. +- `/api/morechildren` deep-comment expansion — `more` stubs terminate the tree + walk today. +- Routes / `connector_service.py` / ingestion / Celery wiring. +- RSS degraded-mode path (documented, not implemented). diff --git a/surfsense_backend/app/proprietary/platforms/reddit/__init__.py b/surfsense_backend/app/proprietary/platforms/reddit/__init__.py new file mode 100644 index 000000000..94a17ed75 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/reddit/__init__.py @@ -0,0 +1,13 @@ +"""Platform-native Reddit scraper (anonymous, no browser).""" + +from .fetch import RedditAccessBlockedError +from .schemas import RedditItem, RedditScrapeInput +from .scraper import iter_reddit, scrape_reddit + +__all__ = [ + "RedditAccessBlockedError", + "RedditItem", + "RedditScrapeInput", + "iter_reddit", + "scrape_reddit", +] diff --git a/surfsense_backend/app/proprietary/platforms/reddit/fetch.py b/surfsense_backend/app/proprietary/platforms/reddit/fetch.py new file mode 100644 index 000000000..54c7ba125 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/reddit/fetch.py @@ -0,0 +1,359 @@ +"""Proxy-aware fetch seam for the Reddit scraper (no browser). + +All network I/O flows through :func:`fetch_json` and always egresses through the +residential proxy (a direct hit would expose and risk-block the server IP). + +Reddit deprecated *cold* unauthenticated ``.json`` (a bare anonymous GET now +403s). The maintained anonymous recipe (proven live 2026-07-04, see +``scripts/e2e_reddit_scraper.py`` step 0) is: + + warm one anonymous session cookie (``loid``) with a plain GET to + ``www.reddit.com/svc/shreddit/<slug>`` (``old.reddit.com`` fallback), then + GET ``www.reddit.com/<path>/.json?raw_json=1`` through that same + Chrome-impersonated, sticky-IP session. Which warm URL mints ``loid`` is + exit-IP dependent, so the order is a tiebreak — see :func:`warm_session`. + +``loid`` is Reddit's equivalent of Google Maps' ``NID`` session cookie: an +anonymous, logged-out id that unlocks the public API — no account, no browser. +This module is a direct port of ``../youtube/innertube.py``'s rotate-on-block +sticky-session pattern (``_RotatingSession`` + ``_current_session`` ContextVar + +``open_proxy_holder``/``bind_proxy_holder``/``proxy_session``), with a +Reddit-specific :func:`warm_session` bolted on and a ``.json``-shaped +:func:`fetch_json` instead of an InnerTube POST. +""" + +from __future__ import annotations + +import asyncio +import json +import logging +import random +import time +from contextlib import asynccontextmanager, suppress +from contextvars import ContextVar +from datetime import UTC, datetime +from typing import Any +from urllib.parse import urlencode + +from scrapling.fetchers import AsyncFetcher, FetcherSession + +from app.utils.proxy import get_proxy_url + +logger = logging.getLogger(__name__) + + +class RedditAccessBlockedError(RuntimeError): + """Raised when every rotated IP is refused anonymous access. + + This is the yt-dlp "account authentication is required" / "your IP is unable + to access the Reddit API" branch. We are anonymous-only and cannot log in, + so instead of silently returning nothing we surface it as a clear error + (mirrors google_maps' ``SignInRequiredError``). The route can turn it into a + 403 later; for now it just fails loudly. + """ + + +# Per-flow proxy session, set by ``bind_proxy_holder`` around one continuation +# chain. Reusing one keep-alive connection pins a single sticky exit IP so the +# ``loid`` cookie (bound to that IP) stays valid across the warm-up + every +# subsequent ``.json`` fetch. A ContextVar keeps each concurrent fan-out flow on +# its own session/IP without threading a param through every call. +_current_session: ContextVar[_RotatingSession | None] = ContextVar( + "reddit_proxy_session", default=None +) + +# 403 => this IP is blocked; rotate to a fresh one and re-warm. 429 => rate +# limited; back off on the SAME IP (rotating wouldn't help and burns the pool). +# Split out from youtube's combined ``_BLOCK_STATUSES`` because Reddit wants +# different handling per status (spec section 3). +_ROTATE_STATUS = 403 +_BACKOFF_STATUS = 429 +_MAX_ROTATIONS = 3 +_MAX_BACKOFFS = 4 +_BACKOFF_BASE_S = 5.0 + +# Reddit 429s aggressively (~60-100 req/min/IP). Pace each sticky session so a +# fast IP can't burst past the per-IP threshold. A live probe (12 rapid fetches +# on one sticky IP => 0x429; scripts/_bench_reddit2.py) showed the natural +# ~0.85s request latency already holds a session near ~1 req/s, so the old 1.0s +# floor just ADDED ~0.4s of dead sleep to every fetch. A 0.5s floor is a no-op +# for typical fetches yet still caps a fast IP at ~2 req/s; the 429 backoff below +# is the real safety net if an IP's limit is tighter. +# ponytail: 0.5s is tuned to dataimpulse residential exits. A pool with a +# stricter per-IP cap may need it raised — watch for 429 log spam and bump it. +_MIN_INTERVAL_S = 0.5 +_PACE_JITTER_S = 0.25 + +# curl's default is 30s, so one dead sticky IP stalled a whole run for 30-50s +# (seen live 2026-07-06). A healthy fetch lands in ~1s; cap at 10s so a dead IP +# costs one bounded wait, then the timeout falls into the generic exception +# branch of fetch_json and rotates to a fresh IP — same treatment as a 403. +_REQUEST_TIMEOUT_S = 10.0 + +_HEADERS = {"Accept-Language": "en-US,en;q=0.9"} + +# Age-gate opt-in, sent on every ``.json`` fetch so NSFW listings aren't blanked +# (the caller filters on ``includeNSFW`` downstream). Mirrors the probe. +_OVER18_COOKIES = {"over18": "1"} + +# ``svc/shreddit`` needs *a* path to render; any always-public subreddit mints +# ``loid`` just the same. ``r/popular`` always exists, so it's a safe default +# regardless of which target this session ends up serving. +_WARM_SLUG = "r/popular" +_SHREDDIT_URL = ( + "https://www.reddit.com/svc/shreddit/{slug}" + "?render-mode=partial&seeker-session=false" +) +_OLD_REDDIT_URL = "https://old.reddit.com/" +_LOID_COOKIE = "loid" + + +def now_iso() -> str: + """UTC timestamp in the millisecond ISO shape used by scraper output.""" + return datetime.now(UTC).strftime("%Y-%m-%dT%H:%M:%S.%f")[:-3] + "Z" + + +def _response_cookie_names(page: Any) -> set[str]: + """Cookie names set by a response (best-effort across scrapling shapes).""" + cookies = getattr(page, "cookies", None) + if isinstance(cookies, dict): + return set(cookies.keys()) + return set() + + +def _parse_json(page: Any) -> Any | None: + """Parse a scrapling response body into JSON, or ``None``. + + Prefers ``page.json()``; falls back to ``json.loads`` on the raw body when + the impersonated response hands back text. No ``<pre>`` unwrapping — that was + a v1 browser artifact and does not apply to plain-HTTP ``.json``. + """ + fn = getattr(page, "json", None) + if callable(fn): + with suppress(Exception): + return fn() + for attr in ("body", "text"): + val = getattr(page, attr, None) + if isinstance(val, bytes): + val = val.decode("utf-8", "replace") + if isinstance(val, str) and val.strip(): + with suppress(Exception): + return json.loads(val) + return None + return None + + +def _build_url(path: str, params: dict[str, Any] | None) -> str: + """``https://www.reddit.com/<path>/.json?raw_json=1&...`` (always raw_json).""" + clean = path.strip("/") + query = {"raw_json": "1", **(params or {})} + qs = urlencode({k: v for k, v in query.items() if v is not None}) + return f"https://www.reddit.com/{clean}/.json?{qs}" + + +class _RotatingSession: + """Owns one live ``FetcherSession`` (sticky IP) and can swap it for a fresh one. + + ``rotate()`` closes the current keep-alive connection and opens a new one, so + the rotating gateway hands out a different residential exit IP. Because the + ``loid`` cookie binds to the exit IP, ``rotate()`` also drops the warmed + state — the next fetch re-warms on the new IP. Used sequentially within a + single flow (never shared across concurrent tasks), so no locking is needed. + ``session`` is ``None`` only when no proxy is configured. + """ + + def __init__(self) -> None: + self._cm: Any | None = None + self.session: Any | None = None + self.rotations = 0 + self.warmed = False + self._last_at = 0.0 + + async def _open(self) -> None: + proxy = get_proxy_url() + self.warmed = False + if proxy is None: + self._cm = self.session = None + return + self._cm = FetcherSession( + proxy=proxy, + stealthy_headers=True, + impersonate="chrome", + timeout=_REQUEST_TIMEOUT_S, + ) + self.session = await self._cm.__aenter__() + + async def close(self) -> None: + if self._cm is not None: + with suppress(Exception): # best-effort teardown + await self._cm.__aexit__(None, None, None) + self._cm = self.session = None + + async def rotate(self) -> Any | None: + """Drop the current IP and connect through a fresh one. Returns new session.""" + await self.close() + self.rotations += 1 + await self._open() + logger.info("[reddit] rotated proxy session (rotation #%d)", self.rotations) + return self.session + + async def pace(self) -> None: + """Sleep to hold this sticky IP under Reddit's per-IP rate threshold.""" + wait = _MIN_INTERVAL_S - (time.monotonic() - self._last_at) + if wait > 0: + await asyncio.sleep(wait + random.uniform(0, _PACE_JITTER_S)) + self._last_at = time.monotonic() + + +async def open_proxy_holder() -> _RotatingSession: + """Open a warm rotate-on-block session holder (caller owns ``close()``).""" + holder = _RotatingSession() + await holder._open() + return holder + + +@asynccontextmanager +async def bind_proxy_holder(holder: _RotatingSession): + """Route this task's fetches through ``holder`` for the enclosed block. + + Does NOT close the holder — enables pooling warm sessions across sequential + jobs so each job skips the ~2s proxy handshake AND the ``loid`` warm-up. + """ + token = _current_session.set(holder) + try: + yield holder + finally: + _current_session.reset(token) + + +@asynccontextmanager +async def proxy_session(): + """Open one reused, rotate-on-block proxy session for a continuation chain.""" + holder = await open_proxy_holder() + try: + async with bind_proxy_holder(holder): + yield holder + finally: + await holder.close() + + +async def warm_session(session: Any, *, slug: str = _WARM_SLUG) -> bool: + """Mint an anonymous ``loid`` cookie on a freshly opened session. + + Returns ``True`` when a ``loid`` was issued (the session can now reach + ``.json``), else ``False`` (caller rotates the IP and retries). + + Tries ``svc/shreddit`` first, then ``old.reddit`` (yt-dlp's primary) as + the fallback. Live probes 2026-07-04 saw both directions across exit IPs, + but a live run 2026-07-06 had ``old.reddit`` 403 on 12/12 fresh IPs while + ``shreddit`` minted every time — Reddit appears to have shut old.reddit to + anonymous traffic, so shreddit-first saves one guaranteed-403 round trip + per warm-up. The fallback is what actually matters — it preserves + correctness if a given IP (or Reddit) flips back the other way. That cost + is amortized: ``fan_out`` reuses one warmed session per worker across many + jobs, so warm-up runs once per worker, not per fetch. + + ponytail: sequential two-source warm burns 1 wasted request on ~half of new + sessions. A parallel warm (gather both, take whichever mints) removes the + latency but always spends 2 requests; not worth it while warm-up is + once-per-worker. Revisit only if session churn (not reuse) dominates. + + Takes an already-open ``session`` (never constructs one) so tests can drive + warm/rotate deterministically with a fake session, exactly like the youtube + sibling's fetch-resilience tests. + """ + seen: set[str] = set() + with suppress(Exception): + page = await session.get(_SHREDDIT_URL.format(slug=slug), headers=_HEADERS) + seen |= _response_cookie_names(page) + if _LOID_COOKIE in seen: + return True + + # Fallback: mints loid on exit IPs where shreddit 403s instead. + with suppress(Exception): + page = await session.get(_OLD_REDDIT_URL, headers=_HEADERS) + seen |= _response_cookie_names(page) + return _LOID_COOKIE in seen + + +async def _get_page(session: Any, url: str) -> Any: + """GET through the warmed sticky session, or a one-shot proxied fetch.""" + if session is not None: + return await session.get(url, headers=_HEADERS, cookies=_OVER18_COOKIES) + return await AsyncFetcher.get( + url, + headers=_HEADERS, + cookies=_OVER18_COOKIES, + proxy=get_proxy_url(), + stealthy_headers=True, + timeout=_REQUEST_TIMEOUT_S, + ) + + +async def fetch_json(path: str, params: dict[str, Any] | None = None) -> Any | None: + """GET a Reddit ``.json`` endpoint through a ``loid``-warmed HTTP session. + + Returns parsed JSON (dict or list), or ``None`` on 404 / non-block failure. + Warms the ``loid`` session once per session; rotates the residential IP and + re-warms on 403; backs off on 429. Raises :class:`RedditAccessBlockedError` + only when every rotated IP refuses anonymous access (the yt-dlp + "login required" branch, which we cannot satisfy). + """ + holder = _current_session.get() + if holder is None: + # No bound session (e.g. a direct call outside fan_out): open a + # short-lived warmed session for this one fetch, then tear it down. + async with proxy_session(): + return await fetch_json(path, params) + + url = _build_url(path, params) + attempt = 0 + backoffs = 0 + while True: + session = holder.session + try: + if session is not None and not holder.warmed: + warmed_ok = await warm_session(session) + holder.warmed = True # attempted; don't re-warm this IP + if not warmed_ok: + if attempt < _MAX_ROTATIONS: + attempt += 1 + await holder.rotate() + continue + raise RedditAccessBlockedError( + f"could not mint loid after {attempt} IP rotations for {path}" + ) + + await holder.pace() + page = await _get_page(session, url) + status = page.status + + if status == 200: + return _parse_json(page) + if status == 404: + return None + if status == _BACKOFF_STATUS and backoffs < _MAX_BACKOFFS: + backoffs += 1 + delay = _BACKOFF_BASE_S * (2 ** (backoffs - 1)) + logger.warning("[reddit] 429 on %s; backing off %.1fs", path, delay) + await asyncio.sleep(delay + random.uniform(0, 1)) + continue + if status == _ROTATE_STATUS and attempt < _MAX_ROTATIONS: + attempt += 1 + await holder.rotate() + continue + if status == _ROTATE_STATUS: + raise RedditAccessBlockedError( + f"Reddit refused {path} on {attempt} rotated IPs (403)" + ) + logger.warning("[reddit] GET %s returned %s", path, status) + return None + except RedditAccessBlockedError: + raise + except Exception as e: + logger.warning("[reddit] GET %s failed: %s", path, e) + if attempt < _MAX_ROTATIONS: + attempt += 1 + await holder.rotate() + continue + return None diff --git a/surfsense_backend/app/proprietary/platforms/reddit/parsers.py b/surfsense_backend/app/proprietary/platforms/reddit/parsers.py new file mode 100644 index 000000000..10cc2150a --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/reddit/parsers.py @@ -0,0 +1,250 @@ +"""Pure JSON -> item mapping for the Reddit scraper. + +Framework-agnostic and I/O-free so it can be unit-tested against captured +fixtures. Every function takes raw Reddit ``.json`` data and returns plain +dicts / lists — no network, no proxy, no ``scrapedAt`` stamp (the orchestrator +adds the timestamp so these stay deterministic under fixture tests). + +Reddit's ``.json`` wraps everything in "things" (``{"kind": "t3", "data": +{...}}``) and "Listings" (``{"kind": "Listing", "data": {"children": [...], +"after": ...}}``). ``t3`` = post, ``t1`` = comment, ``more`` = a truncated-reply +stub (out of scope v1 — treated as a branch stop). +""" + +from __future__ import annotations + +from datetime import UTC, datetime +from typing import Any + +_REDDIT_BASE = "https://www.reddit.com" + + +def _int(value: Any) -> int | None: + """Coerce to int, or ``None`` (Reddit sometimes sends floats/None).""" + if isinstance(value, bool): + return None + if isinstance(value, int): + return value + if isinstance(value, float): + return int(value) + return None + + +def _utc_from_sec(value: Any) -> str | None: + """Epoch seconds -> millisecond ISO string, or ``None``.""" + if not isinstance(value, int | float): + return None + dt = datetime.fromtimestamp(float(value), tz=UTC) + return dt.strftime("%Y-%m-%dT%H:%M:%S.%f")[:-3] + "Z" + + +def _parse_iso(value: str | None) -> datetime | None: + """Parse an ISO date (tolerating a trailing ``Z``) to aware UTC, else None.""" + if not value: + return None + try: + dt = datetime.fromisoformat(value.replace("Z", "+00:00")) + except ValueError: + return None + return dt if dt.tzinfo else dt.replace(tzinfo=UTC) + + +def _before(created_utc: Any, date_limit: str | None) -> bool: + """True if ``created_utc`` (epoch secs) predates the ISO ``date_limit``.""" + limit = _parse_iso(date_limit) + if limit is None or not isinstance(created_utc, int | float): + return False + return datetime.fromtimestamp(float(created_utc), tz=UTC) < limit + + +def _thumbnail_url(value: Any) -> str | None: + """Reddit uses sentinels like 'self'/'default'/'nsfw' for no thumbnail.""" + return value if isinstance(value, str) and value.startswith("http") else None + + +def _permalink_url(data: dict[str, Any]) -> str | None: + permalink = data.get("permalink") + return f"{_REDDIT_BASE}{permalink}" if isinstance(permalink, str) else None + + +def _strip_prefix(fullname: Any) -> str | None: + """``t3_abc`` -> ``abc`` (Reddit fullname without its type prefix).""" + if isinstance(fullname, str) and "_" in fullname: + return fullname.split("_", 1)[1] + return fullname if isinstance(fullname, str) else None + + +def _image_urls(data: dict[str, Any]) -> list[str]: + """Best-effort image URLs from a post's ``preview.images[].source.url``.""" + preview = data.get("preview") + if not isinstance(preview, dict): + return [] + urls: list[str] = [] + for image in preview.get("images") or []: + source = image.get("source") if isinstance(image, dict) else None + url = source.get("url") if isinstance(source, dict) else None + if isinstance(url, str) and url: + urls.append(url) + return urls + + +def _video_urls(data: dict[str, Any]) -> list[str]: + """Best-effort video URL from ``media.reddit_video.fallback_url``.""" + for key in ("media", "secure_media"): + media = data.get(key) + if isinstance(media, dict): + rv = media.get("reddit_video") + url = rv.get("fallback_url") if isinstance(rv, dict) else None + if isinstance(url, str) and url: + return [url] + return [] + + +def children(listing: Any) -> list[dict[str, Any]]: + """Return a Listing's ``data.children`` array (empty list if malformed).""" + if isinstance(listing, dict): + data = listing.get("data") + if isinstance(data, dict): + kids = data.get("children") + if isinstance(kids, list): + return kids + return [] + + +def after(listing: Any) -> str | None: + """Return a Listing's ``data.after`` pagination cursor, or ``None``.""" + if isinstance(listing, dict): + data = listing.get("data") + if isinstance(data, dict): + cursor = data.get("after") + return cursor if isinstance(cursor, str) else None + return None + + +def _unwrap(thing: dict[str, Any]) -> dict[str, Any]: + """Accept a ``{"kind","data"}`` thing or a bare data dict; return the data.""" + data = thing.get("data") + return data if isinstance(data, dict) else thing + + +def parse_post(thing: dict[str, Any]) -> dict[str, Any]: + """Map a ``t3`` post thing (or its data dict) to a flat item dict.""" + data = _unwrap(thing) + is_self = bool(data.get("is_self")) + external = data.get("url") if not is_self else None + return { + "dataType": "post", + "id": data.get("name"), + "parsedId": data.get("id"), + "url": _permalink_url(data), + "username": data.get("author"), + "userId": data.get("author_fullname"), + "title": data.get("title"), + "body": data.get("selftext") or None, + "html": data.get("selftext_html"), + "link": external, + "externalUrl": external, + "communityName": data.get("subreddit_name_prefixed"), + "parsedCommunityName": data.get("subreddit"), + "numberOfComments": _int(data.get("num_comments")), + "upVotes": _int(data.get("score", data.get("ups"))), + "upVoteRatio": data.get("upvote_ratio"), + "over18": data.get("over_18"), + "isVideo": data.get("is_video"), + "flair": data.get("link_flair_text"), + "authorFlair": data.get("author_flair_text"), + "thumbnailUrl": _thumbnail_url(data.get("thumbnail")), + "imageUrls": _image_urls(data), + "videoUrls": _video_urls(data), + "numberOfMembers": _int(data.get("subreddit_subscribers")), + "createdAt": _utc_from_sec(data.get("created_utc")), + } + + +def parse_community(thing: dict[str, Any]) -> dict[str, Any]: + """Map a ``t5`` subreddit thing (``about.json``) to a flat community item.""" + data = _unwrap(thing) + url = data.get("url") + return { + "dataType": "community", + "id": data.get("name"), + "parsedId": data.get("id"), + "url": f"{_REDDIT_BASE}{url}" if isinstance(url, str) else None, + "title": data.get("title"), + "body": data.get("public_description") or None, + "communityName": data.get("display_name_prefixed"), + "parsedCommunityName": data.get("display_name"), + "numberOfMembers": _int(data.get("subscribers")), + "over18": data.get("over18"), + "createdAt": _utc_from_sec(data.get("created_utc")), + } + + +def parse_comment(thing: dict[str, Any], *, depth: int = 0) -> dict[str, Any]: + """Map a ``t1`` comment thing (or its data dict) to a flat item dict. + + ``numberOfReplies`` is left at ``0`` here; :func:`flatten_comments` fills it + with the count of descendant comments it actually emits. + """ + data = _unwrap(thing) + return { + "dataType": "comment", + "id": data.get("name"), + "parsedId": data.get("id"), + "url": _permalink_url(data), + "username": data.get("author"), + "userId": data.get("author_fullname"), + "body": data.get("body") or None, + "html": data.get("body_html"), + "communityName": data.get("subreddit_name_prefixed"), + "parsedCommunityName": data.get("subreddit"), + "upVotes": _int(data.get("score", data.get("ups"))), + "over18": data.get("over_18"), + "authorFlair": data.get("author_flair_text"), + "postId": _strip_prefix(data.get("link_id")), + "parentId": data.get("parent_id"), + "numberOfReplies": 0, + "createdAt": _utc_from_sec(data.get("created_utc")), + "depth": depth, + } + + +def flatten_comments( + comment_children: list[dict[str, Any]] | None, + *, + max_comments: int, + date_limit: str | None = None, + depth: int = 0, + out: list[dict[str, Any]] | None = None, +) -> list[dict[str, Any]]: + """Depth-first flatten a comment tree into a bounded flat list. + + Skips non-``t1`` children (``more`` stubs terminate that branch — v1), + honors ``max_comments`` (total emitted, across all depths) and + ``date_limit`` (drops comments older than the ISO cutoff). Each comment's + ``numberOfReplies`` is set to the number of its descendants that were + emitted. + """ + if out is None: + out = [] + for child in comment_children or []: + if len(out) >= max_comments: + break + if not isinstance(child, dict) or child.get("kind") != "t1": + continue # 'more' stub / non-comment: stop this branch (v1) + data = child.get("data") or {} + if date_limit and _before(data.get("created_utc"), date_limit): + continue + item = parse_comment(data, depth=depth) + before = len(out) + out.append(item) + replies = data.get("replies") + flatten_comments( + children(replies) if isinstance(replies, dict) else [], + max_comments=max_comments, + date_limit=date_limit, + depth=depth + 1, + out=out, + ) + item["numberOfReplies"] = len(out) - before - 1 + return out diff --git a/surfsense_backend/app/proprietary/platforms/reddit/schemas.py b/surfsense_backend/app/proprietary/platforms/reddit/schemas.py new file mode 100644 index 000000000..74560ae97 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/reddit/schemas.py @@ -0,0 +1,126 @@ +# ruff: noqa: N815 - field names intentionally use the public camelCase API +"""Input/output models for the Reddit scraper. + +The MVP populates a reliably-sourced subset of fields; every other output field +is emitted as ``None``/``[]`` so the contract can expand additively. + +**Anonymous only.** There is deliberately **no** authentication field on the +input (no username/password/token/``login*``) — the scraper holds only Reddit's +anonymous ``loid`` session cookie and can never log in. Anything auth-shaped a +caller sends lands in ``extra`` and is ignored. +""" + +from __future__ import annotations + +from typing import Any, Literal + +from pydantic import BaseModel, ConfigDict, Field + +RedditSort = Literal["relevance", "hot", "top", "new", "rising", "comments"] +RedditTime = Literal["all", "hour", "day", "week", "month", "year"] +RedditDataType = Literal["post", "comment", "community", "user"] + + +class StartUrl(BaseModel): + """A single direct URL entry (``{"url": ...}``; extra keys ignored).""" + + model_config = ConfigDict(extra="allow") + + url: str + + +class RedditScrapeInput(BaseModel): + """Reddit scraper input surface (anonymous, no auth fields). + + Caps (``maxItems``/``maxPostCount``/...) are collector policy applied by + :func:`scrape_reddit`, NOT ceilings baked into the streaming flows. Fields + the MVP doesn't act on are still accepted via ``extra="allow"`` for parity. + """ + + model_config = ConfigDict(extra="allow") + + # Discovery + startUrls: list[StartUrl] = Field(default_factory=list) + searches: list[str] = Field(default_factory=list) + searchCommunityName: str | None = None + + # Sort / filter + sort: RedditSort = "new" + time: RedditTime | None = None + includeNSFW: bool = True + + # Skips + skipComments: bool = False + skipUserPosts: bool = False + skipCommunity: bool = False + + # Caps (collector policy; enforced by scrape_reddit, not the flows) + maxItems: int = Field(default=10, ge=0) + maxPostCount: int = Field(default=10, ge=0) + maxComments: int = Field(default=10, ge=0) + maxCommunitiesCount: int = Field(default=2, ge=0) + maxUserCount: int = Field(default=2, ge=0) + + # Incremental scraping (ISO dates) + postDateLimit: str | None = None + commentDateLimit: str | None = None + + +class RedditItem(BaseModel): + """Single flat output item, keyed by ``dataType``. + + One model for post/comment/community/user (union of fields, unsourced + default ``None``/``[]``), using a single flat-dataset shape. + ``extra="allow"`` keeps the contract open so added fields never break + consumers. + """ + + model_config = ConfigDict(extra="allow") + + dataType: RedditDataType | None = None + + # Identity / provenance + id: str | None = None + parsedId: str | None = None + url: str | None = None + username: str | None = None + userId: str | None = None + + # Content + title: str | None = None + body: str | None = None + html: str | None = None + link: str | None = None + externalUrl: str | None = None + + # Community + communityName: str | None = None + parsedCommunityName: str | None = None + numberOfMembers: int | None = None + + # Engagement + numberOfComments: int | None = None + numberOfReplies: int | None = None + upVotes: int | None = None + upVoteRatio: float | None = None + + # Flags / media + over18: bool | None = None + isVideo: bool | None = None + flair: str | None = None + authorFlair: str | None = None + thumbnailUrl: str | None = None + imageUrls: list[str] = Field(default_factory=list) + videoUrls: list[str] = Field(default_factory=list) + + # Threading + postId: str | None = None + parentId: str | None = None + + # Timestamps + createdAt: str | None = None + scrapedAt: str | None = None + + def to_output(self) -> dict[str, Any]: + """Serialize to the flat output dict shape (keeps extras).""" + return self.model_dump(exclude_none=False) diff --git a/surfsense_backend/app/proprietary/platforms/reddit/scraper.py b/surfsense_backend/app/proprietary/platforms/reddit/scraper.py new file mode 100644 index 000000000..a14e1c13f --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/reddit/scraper.py @@ -0,0 +1,454 @@ +"""Orchestrator for the Reddit scraper. + +The core is the async generator :func:`iter_reddit` (unbounded, ``after``-cursor +paged); :func:`scrape_reddit` is a thin collector with a caller-supplied +``limit`` guard. Any cap is caller policy, never baked into flow logic. + +Independent targets (one per ``startUrl`` / search) fan out concurrently on a +pool of warm ``loid`` sessions (sticky IPs); each target's own ``after`` paging +stays sequential. ``fan_out`` is ported from ``../youtube/scraper.py`` but bound +to *this* module's proxy holders so every worker warms its own ``loid`` once and +reuses it — the ~10-50x throughput win over a browser design. +""" + +from __future__ import annotations + +import asyncio +import logging +from collections.abc import AsyncIterator +from typing import Any + +from .fetch import ( + RedditAccessBlockedError, + bind_proxy_holder, + fetch_json, + now_iso, + open_proxy_holder, +) +from .parsers import ( + _before, + after, + children, + flatten_comments, + parse_comment, + parse_community, + parse_post, +) +from .schemas import RedditItem, RedditScrapeInput +from .url_resolver import ResolvedUrl, resolve_url + +logger = logging.getLogger(__name__) + +__all__ = [ + "RedditAccessBlockedError", + "iter_reddit", + "scrape_reddit", +] + +# Independent jobs run concurrently on a pool of warm proxy sessions. Matches +# the youtube sibling; 16 workers saturate typical job counts while leaving +# gateway headroom. +_FANOUT_CONCURRENCY = 16 + +# Reddit caps any listing at ~1000 items (100/page => ~10 pages). Stop there so +# a runaway target can't page forever. +_LISTING_LIMIT = 100 +_MAX_PAGES = 10 +_EMPTY_STREAK_ABORT = 2 + +# A subreddit's per-post comment fetches are independent (each is a separate +# .json), so after paging the listing on one sticky IP we fan them across their +# own warm sessions instead of walking them sequentially — the dominant cost of +# a subreddit+comments scrape (~3.6x on the comment phase; scripts/_bench_reddit2). +# Kept below the top-level fan-out width: with N concurrent subreddit targets the +# worst case is N x this many proxy IPs, so this bounds that multiplication. +_COMMENT_CONCURRENCY = 8 + +# Search sorts differ from listing sorts; fall back to "new" for a listing path +# when the input carries a search-only sort. +_LISTING_SORTS = frozenset({"hot", "new", "top", "rising", "controversial", "best"}) + + +async def fan_out( + jobs: list[AsyncIterator[dict[str, Any]]], *, concurrency: int = _FANOUT_CONCURRENCY +) -> AsyncIterator[dict[str, Any]]: + """Stream items from independent async-iterator jobs via a warm worker pool. + + Each worker opens ONE proxy session and reuses it across the sequential jobs + it pulls, so only the first job per worker pays the proxy handshake + the + ``loid`` warm-up. A bad job yields nothing rather than aborting the batch; + workers are cancelled and their sessions closed if the consumer stops early. + """ + if not jobs: + return + job_queue: asyncio.Queue[AsyncIterator[dict[str, Any]]] = asyncio.Queue() + for job in jobs: + job_queue.put_nowait(job) + results: asyncio.Queue[list[dict[str, Any]]] = asyncio.Queue() + + async def worker() -> None: + holder = None + try: + holder = await open_proxy_holder() + except Exception as e: # no session: jobs still run via one-shot fetches + logger.warning("[reddit] proxy session open failed: %s", e) + try: + while True: + try: + job = job_queue.get_nowait() + except asyncio.QueueEmpty: + return + items: list[dict[str, Any]] = [] + try: + if holder is not None: + async with bind_proxy_holder(holder): + items = [item async for item in job] + else: + items = [item async for item in job] + except Exception as e: # one bad target must not kill the run + logger.warning("[reddit] fan-out job failed: %s", e) + await results.put(items) + finally: + if holder is not None: + await holder.close() + + tasks = [asyncio.create_task(worker()) for _ in range(min(concurrency, len(jobs)))] + try: + for _ in range(len(jobs)): + for item in await results.get(): + yield item + finally: + for task in tasks: + if not task.done(): + task.cancel() + await asyncio.gather(*tasks, return_exceptions=True) + + +def _emit(partial: dict[str, Any], *, include_nsfw: bool) -> dict[str, Any] | None: + """Stamp ``scrapedAt``, apply the NSFW gate, and wrap as an output dict.""" + if not include_nsfw and partial.get("over18") is True: + return None + return RedditItem(**{**partial, "scrapedAt": now_iso()}).to_output() + + +async def _paginate_listing( + path: str, + base_params: dict[str, Any], + kinds: frozenset[str], + *, + max_items: int, + include_nsfw: bool, + date_limit: str | None = None, +) -> AsyncIterator[dict[str, Any]]: + """Yield raw child ``data`` dicts across pages via the ``after`` cursor. + + Filters by child ``kind`` (``t3``/``t1``), the NSFW gate, and ``date_limit`` + (drops older items and, since ``date_limit`` forces newest-first, stops once + a page crosses the cutoff). Aborts on an empty-streak, a null ``after``, or + the ~1000-item page ceiling. + """ + if max_items <= 0: + return + emitted = 0 + cursor: str | None = None + empty_streak = 0 + for _page in range(_MAX_PAGES): + params = {**base_params, "limit": _LISTING_LIMIT} + if cursor: + params["after"] = cursor + listing = await fetch_json(path, params) + kids = children(listing) + if not kids: + empty_streak += 1 + if empty_streak >= _EMPTY_STREAK_ABORT: + break + else: + empty_streak = 0 + crossed_cutoff = False + for child in kids: + if not isinstance(child, dict) or child.get("kind") not in kinds: + continue + data = child.get("data") or {} + if date_limit and _before(data.get("created_utc"), date_limit): + crossed_cutoff = True + continue + if not include_nsfw and data.get("over_18") is True: + continue + yield data + emitted += 1 + if emitted >= max_items: + return + cursor = after(listing) + if not cursor or crossed_cutoff: + break + + +async def _post_flow( + post_id: str, + *, + input_model: RedditScrapeInput, + subreddit: str | None = None, + include_post: bool = True, +) -> AsyncIterator[dict[str, Any]]: + """Emit a post (unless ``include_post`` is False) plus its comment tree.""" + path = f"r/{subreddit}/comments/{post_id}" if subreddit else f"comments/{post_id}" + data = await fetch_json(path) + if not isinstance(data, list) or not data: + return + post_children = children(data[0]) + if include_post and post_children: + item = _emit(parse_post(post_children[0]), include_nsfw=input_model.includeNSFW) + if item is not None: + yield item + if input_model.skipComments or len(data) < 2: + return + flat = flatten_comments( + children(data[1]), + max_comments=input_model.maxComments, + date_limit=input_model.commentDateLimit, + ) + for comment in flat: + item = _emit(comment, include_nsfw=input_model.includeNSFW) + if item is not None: + yield item + + +async def _subreddit_flow( + subreddit: str, + *, + input_model: RedditScrapeInput, + sort: str | None = None, +) -> AsyncIterator[dict[str, Any]]: + """Emit the community, then paged posts (descending into comments if asked).""" + if not input_model.skipCommunity: + about = await fetch_json(f"r/{subreddit}/about") + if isinstance(about, dict): + item = _emit(parse_community(about), include_nsfw=input_model.includeNSFW) + if item is not None: + yield item + + # postDateLimit forces newest-first so the early-stop is correct. + sort = "new" if input_model.postDateLimit else (sort or input_model.sort) + if sort not in _LISTING_SORTS: + sort = "new" + params: dict[str, Any] = {} + if sort == "top" and input_model.time: + params["t"] = input_model.time + + post_ids: list[str] = [] + async for data in _paginate_listing( + f"r/{subreddit}/{sort}", + params, + frozenset({"t3"}), + max_items=input_model.maxPostCount, + include_nsfw=input_model.includeNSFW, + date_limit=input_model.postDateLimit, + ): + item = _emit(parse_post(data), include_nsfw=input_model.includeNSFW) + if item is not None: + yield item + # Collect ids now; fetch the comment trees in parallel below. Walking + # them here would serialize one .json per post on this single sticky IP. + parsed_id = data.get("id") + if not input_model.skipComments and isinstance(parsed_id, str): + post_ids.append(parsed_id) + + if post_ids: + comment_jobs = [ + _post_flow( + pid, + input_model=input_model, + subreddit=subreddit, + include_post=False, + ) + for pid in post_ids + ] + async for comment in fan_out(comment_jobs, concurrency=_COMMENT_CONCURRENCY): + yield comment + + +async def _user_flow( + username: str, + *, + input_model: RedditScrapeInput, + content: str | None = None, +) -> AsyncIterator[dict[str, Any]]: + """Page a user's overview/submitted/comments listing (mixed t3 + t1).""" + if content == "submitted": + path, kinds = f"user/{username}/submitted", frozenset({"t3"}) + elif content == "comments": + path, kinds = f"user/{username}/comments", frozenset({"t1"}) + else: + path = f"user/{username}" + kinds = frozenset({"t1"} if input_model.skipUserPosts else {"t3", "t1"}) + + async for data in _paginate_listing( + path, + {}, + kinds, + max_items=input_model.maxItems, + include_nsfw=input_model.includeNSFW, + date_limit=input_model.postDateLimit, + ): + # A user listing mixes posts (t3) and comments (t1); a post has a title. + parsed = ( + parse_post(data) if data.get("title") is not None else parse_comment(data) + ) + item = _emit(parsed, include_nsfw=input_model.includeNSFW) + if item is not None: + yield item + + +async def _search_flow( + query: str, + *, + input_model: RedditScrapeInput, + subreddit: str | None = None, + max_items: int | None = None, +) -> AsyncIterator[dict[str, Any]]: + """Global search, or in-subreddit when ``subreddit`` is set. De-dupes by id. + + ``max_items`` overrides ``input_model.maxItems`` as this one query's cap — + used by :func:`iter_reddit` to fair-share the global budget across + concurrent searches. + """ + params: dict[str, Any] = {"q": query, "sort": input_model.sort} + if input_model.time: + params["t"] = input_model.time + if subreddit: + path = f"r/{subreddit}/search" + params["restrict_sr"] = "on" + else: + path = "search" + + seen: set[str] = set() + async for data in _paginate_listing( + path, + params, + frozenset({"t3"}), + max_items=input_model.maxItems if max_items is None else max_items, + include_nsfw=input_model.includeNSFW, + date_limit=input_model.postDateLimit, + ): + post_id = data.get("id") + if isinstance(post_id, str): + if post_id in seen: + continue + seen.add(post_id) + item = _emit(parse_post(data), include_nsfw=input_model.includeNSFW) + if item is not None: + yield item + + +def _dispatch( + resolved: ResolvedUrl, input_model: RedditScrapeInput +) -> AsyncIterator[dict[str, Any]]: + """Route a resolved URL to its flow (returns the flow's async generator).""" + if resolved.kind == "post": + return _post_flow( + resolved.value, input_model=input_model, subreddit=resolved.subreddit + ) + if resolved.kind == "subreddit": + return _subreddit_flow( + resolved.value, input_model=input_model, sort=resolved.sort + ) + if resolved.kind == "user": + return _user_flow( + resolved.value, input_model=input_model, content=resolved.content + ) + return _search_flow( + resolved.value, input_model=input_model, subreddit=resolved.subreddit + ) + + +def _capped_targets( + resolved: list[ResolvedUrl], input_model: RedditScrapeInput +) -> list[ResolvedUrl]: + """Apply the target-count caps (``maxCommunitiesCount`` / ``maxUserCount``). + + These bound how many subreddit / user *targets* are scraped; per-target item + counts are bounded inside each flow (maxPostCount / maxItems / maxComments). + """ + subs = users = 0 + out: list[ResolvedUrl] = [] + for r in resolved: + if r.kind == "subreddit": + if subs >= input_model.maxCommunitiesCount: + continue + subs += 1 + elif r.kind == "user": + if users >= input_model.maxUserCount: + continue + users += 1 + out.append(r) + return out + + +async def iter_reddit( + input_model: RedditScrapeInput, +) -> AsyncIterator[dict[str, Any]]: + """Yield flat Reddit items. ``startUrls`` override ``searches``. + + Independent targets fan out concurrently; each target's ``after`` paging + stays sequential. + """ + if input_model.startUrls: + resolved: list[ResolvedUrl] = [] + for entry in input_model.startUrls: + r = resolve_url(entry.url) + if r is None: + logger.warning("[reddit] unrecognized URL: %s", entry.url) + continue + resolved.append(r) + jobs = [ + _dispatch(r, input_model) for r in _capped_targets(resolved, input_model) + ] + async for item in fan_out(jobs): + yield item + return + + # Fair-share the item budget across queries: with a shared cap, the + # first-finishing (often broadest/noisiest) search would fill the whole + # collector limit and starve the precise queries. + # ponytail: ceil-split leaves slack unredistributed when a query + # under-fills its share; a work-stealing budget would fix that. + n = len(input_model.searches) + per_query = -(-input_model.maxItems // n) if n else 0 + jobs = [ + _search_flow( + query, + input_model=input_model, + subreddit=input_model.searchCommunityName, + max_items=per_query, + ) + for query in input_model.searches + ] + # Cross-query de-dup: each flow only de-dups within itself, but the same + # hot post matches several phrasings and would eat the collector budget. + seen_ids: set[str] = set() + async for item in fan_out(jobs): + item_id = item.get("id") + if isinstance(item_id, str): + if item_id in seen_ids: + continue + seen_ids.add(item_id) + yield item + + +async def scrape_reddit( + input_model: RedditScrapeInput, *, limit: int | None = None +) -> list[dict[str, Any]]: + """Collect :func:`iter_reddit` into a list, honoring an optional ``limit``. + + ``limit`` is a request-time policy guard, NOT a ceiling in the streaming + core. + """ + from app.capabilities.core.progress import emit_progress + + results: list[dict[str, Any]] = [] + async for item in iter_reddit(input_model): + results.append(item) + emit_progress("scraping", current=len(results), total=limit, unit="item") + if limit is not None and len(results) >= limit: + break + return results diff --git a/surfsense_backend/app/proprietary/platforms/reddit/url_resolver.py b/surfsense_backend/app/proprietary/platforms/reddit/url_resolver.py new file mode 100644 index 000000000..8490d9de6 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/reddit/url_resolver.py @@ -0,0 +1,87 @@ +"""Classify a Reddit URL into a scrape job. + +Covers the supported ``startUrls`` shapes: a post (permalink), a +subreddit listing, a user profile, and a search-results page. Non-Reddit hosts +resolve to ``None`` so the orchestrator can skip them. Mirrors the frozen +``ResolvedUrl`` dataclass shape of ``../youtube/url_resolver.py``, widened with +the extra context Reddit flows need (subreddit, sort, user content type). +""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Literal +from urllib.parse import parse_qs, unquote, urlparse + +ResolvedKind = Literal["post", "subreddit", "user", "search"] +UserContent = Literal["overview", "submitted", "comments"] + +_REDDIT_HOSTS = frozenset( + { + "reddit.com", + "www.reddit.com", + "old.reddit.com", + "new.reddit.com", + "np.reddit.com", + "m.reddit.com", + } +) + +# Listing sorts that can appear as a trailing subreddit path segment. +_SUBREDDIT_SORTS = frozenset({"hot", "new", "top", "rising", "controversial", "best"}) +_USER_CONTENT = frozenset({"overview", "submitted", "comments"}) + + +@dataclass(frozen=True) +class ResolvedUrl: + kind: ResolvedKind + value: str # post id, subreddit, username, or search query + url: str + subreddit: str | None = None # carried for posts and in-sub searches + sort: str | None = None # trailing subreddit sort, if present + content: UserContent | None = None # user profile tab + + +def _is_reddit_host(hostname: str | None) -> bool: + return bool(hostname) and hostname.lower() in _REDDIT_HOSTS + + +def resolve_url(url: str) -> ResolvedUrl | None: + """Classify a Reddit URL into a scrape job, or ``None`` if unrecognized.""" + parsed = urlparse(url) + if not _is_reddit_host(parsed.hostname): + return None + + segments = [s for s in (parsed.path or "").split("/") if s] + + # Search: /search?q=... or /r/<sub>/search?q=... + if segments and segments[-1] == "search": + query = parse_qs(parsed.query).get("q", [None])[0] + if not query: + return None + sub = segments[1] if len(segments) >= 3 and segments[0] == "r" else None + return ResolvedUrl("search", unquote(query), url, subreddit=sub) + + # Subreddit-scoped URLs: /r/<sub>/... + if len(segments) >= 2 and segments[0] == "r": + sub = segments[1] + # Post permalink: /r/<sub>/comments/<id>[/slug] + if len(segments) >= 4 and segments[2] == "comments": + return ResolvedUrl("post", segments[3], url, subreddit=sub) + # Subreddit listing, optional trailing sort: /r/<sub>[/<sort>] + sort = ( + segments[2] + if len(segments) >= 3 and segments[2] in _SUBREDDIT_SORTS + else None + ) + return ResolvedUrl("subreddit", sub, url, sort=sort) + + # User profile: /user/<name>[/tab] or /u/<name>[/tab] + if len(segments) >= 2 and segments[0] in ("user", "u"): + name = segments[1] + content: UserContent | None = None + if len(segments) >= 3 and segments[2] in _USER_CONTENT: + content = segments[2] # type: ignore[assignment] + return ResolvedUrl("user", name, url, content=content) + + return None diff --git a/surfsense_backend/app/proprietary/platforms/youtube/README.md b/surfsense_backend/app/proprietary/platforms/youtube/README.md new file mode 100644 index 000000000..afcc718eb --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/README.md @@ -0,0 +1,303 @@ +# YouTube Scraper + +A platform-native YouTube scraper that is a **drop-in clone of the Apify +"YouTube Scraper" and "YouTube Comments Scraper" actors** — same input surface, +same output item shape. It talks to YouTube's internal **InnerTube** API plus +the public watch/channel HTML, egresses through a residential proxy, and streams +Apify-shaped dicts. + +No API keys, no Apify account, no headless browser on the happy path. + +--- + +## Quick start + +```python +from app.proprietary.platforms.youtube import ( + YouTubeScrapeInput, scrape_youtube, + YouTubeCommentsInput, scrape_comments, +) + +# Videos — by search query and/or direct URLs (video/channel/playlist/hashtag/search) +videos = await scrape_youtube( + YouTubeScrapeInput(searchQueries=["surfsense"], maxResults=50) +) +videos = await scrape_youtube( + YouTubeScrapeInput(startUrls=[{"url": "https://www.youtube.com/@SomeChannel"}], + maxResults=20, downloadSubtitles=True) +) + +# Comments — one output item per top-level comment AND per reply +comments = await scrape_comments( + YouTubeCommentsInput( + startUrls=[{"url": "https://www.youtube.com/watch?v=VIDEO_ID"}], + maxComments=200, sortCommentsBy="TOP_COMMENTS", + ) +) +``` + +Both have a streaming twin — `iter_youtube()` / `iter_comments()` — that yields +items as they arrive (unbounded, continuation-paged). `scrape_*` is just a +collector with an optional `limit` guard. + +The HTTP surface lives in `app/routes/youtube_routes.py`. + +--- + +## Module map + + +| File | Responsibility | +| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | +| `__init__.py` | Public exports (entry points + schemas). | +| `schemas.py` | Pydantic input/output models mirroring the Apify camelCase spec. `extra="allow"` on outputs keeps the contract open. | +| `scraper.py` | Video orchestrator. Resolves URLs → per-flow async generators (`_video_flow`, `_search_flow`, `_channel_flow`, `_playlist_flow`), runs them through the `fan_out` worker pool. | +| `comments.py` | Comments orchestrator. Watch page → comments-section continuation → `/next` paging, with concurrent per-thread reply fetching. | +| `innertube.py` | **The network seam.** Proxy-only fetch (`fetch_html`, `post_innertube`), reusable sticky-IP sessions, reactive IP rotation, `StealthyFetcher` fallback, and the InnerTube payload builder. | +| `parsers.py` | Pure, I/O-free JSON/HTML traversal + normalization (`find_all`/`find_first`/`dig`, `parse_video_page`, `parse_search_response`, comment/continuation token extractors, `parse_count`, …). | +| `url_resolver.py` | Classify a URL into `video` / `channel` / `playlist` / `hashtag` / `search` and extract its id. | +| `search_filters.py` | Encode Apify search filters into YouTube's `sp=` base64 protobuf (sort/date/type/length/feature flags), composable. | +| `subtitles.py` | Subtitle download via `youtube-transcript-api`, shaped to Apify `subtitles[]`. | + + +Everything in `parsers.py` is deterministic and unit-tested offline; everything +that touches the network is funneled through `innertube.py`. + +--- + +## How it fetches (the important part) + +All network I/O goes through `**fetch_html**` (GET watch/channel pages) and +`**post_innertube**` (POST InnerTube `browse`/`search`/`next`). Design rules: + +1. **Proxy-only egress.** Every request goes through the residential proxy + (`app/utils/proxy.get_proxy_url`). We never connect directly — a direct hit + would expose and risk-block the server IP. +2. **Session reuse = sticky IP.** Within one flow (a continuation chain, or the + jobs a worker pulls), a single keep-alive `FetcherSession` is reused. This + roughly **halves warm latency** (~2.1s → ~1.0s) because only the first + request pays the TCP+TLS handshake, and it pins one sticky exit IP instead of + drawing a new (often slow) residential node per request. +3. **Reactive IP rotation.** A sticky IP is kept until it's actually blocked. On + `403`/`429` or a connection error, the session rotates to a fresh IP and + retries, up to `_MAX_ROTATIONS` (3). A probe of 120 sequential requests on + one IP saw zero blocks, so rotation is reactive, not proactive. +4. **Browser fallback.** If all proxy attempts fail on an HTML page, `fetch_html` + falls back to `StealthyFetcher` (headless, `solve_cloudflare=True`) in a + worker thread. Optional — needs patchright browsers installed. Age-gated + content requires login and is **not** bypassable. + +The active session is bound to the current async task via a `ContextVar` +(`_current_session`), so parsers and orchestrators never thread a session +argument through every call — each concurrent flow transparently uses its own +session/IP. + +### InnerTube payloads + +`build_innertube_payload(...)` builds the `WEB` client `context` payload +(I/O-free, unit-testable). Some endpoints reject a keyless POST; `scraper._post` +retries once with the public web key (`INNERTUBE_PUBLIC_API_KEY`) when the +keyless call returns nothing. `hl=<lang>` on a `/next` call returns the +creator-localized title/description (the translation flow). + +--- + +## Concurrency model + +Independent jobs — each `startUrl`, each `searchQuery`, each comment video — run +concurrently through `**fan_out**`, a warm **worker pool** (`_FANOUT_CONCURRENCY = 16`): + +- Each worker opens **one** proxy session and reuses it across the sequential +jobs it pulls, so only the first job per worker pays the handshake. +- **A bad job yields nothing rather than aborting the batch** (per-job +try/except). One dead URL / comments-disabled video never kills the run. +- Results stream out as each job finishes; **within** a flow, continuation +paging stays sequential. +- If the consumer stops early (collector hits its `limit`), workers are +cancelled and **awaited** so every session's `finally` closes — no leaked +keep-alive connections. + +Comment reply threads for a page are fetched **concurrently** on the same +multiplexed session (`asyncio.gather`), capped at the remaining budget. + +--- + +## Data flow + +- **Video by URL** → fetch watch HTML → `parse_video_page` (reads +`ytInitialData` + `ytInitialPlayerResponse`) → optional subtitles + translation. +- **Search** → InnerTube `/search` (+ `sp=` filter protobuf) → paginate via +continuation tokens up to `maxResults`. +- **Channel** → fetch the videos-tab seed once (reused for channel-wide metadata + - the About panel via `/browse`), then page `videos` / `shorts` / `streams` + tabs, each capped independently (`maxResults` / `maxResultsShorts` / + `maxResultStreams`). `sortVideosBy` uses the sort chips; `oldestPostDate` cuts + off newest-first. +- **Playlist** → `/browse` `VL<id>`, paged via the continuation token → resolve + each video via the video flow. +- **Hashtag** → the dedicated hashtag page (`/hashtag/<tag>`), whose feed is + `videoRenderer` lockups (parsed like search) — not a `#tag` search. +- **Comments** → watch HTML seeds the comments-section token → `/next` returns +comment entities + per-thread reply tokens + the page token. `maxComments` +counts **every** emitted item (comments + replies). + +### `commentsCount` + +For the **comments** scraper, the authoritative total is read from the +comments-section header (`commentsHeaderRenderer.countText`), not the watch-page +HTML where it's lazy-loaded/absent. **Known gap:** the **video** scraper's +`VideoItem.commentsCount` still comes from search/watch HTML and is often `null` +— it would need an extra `/next` call to backfill (intentionally not done to +keep the video path cheap). + +--- + +## API spec + +Mirrors the Apify "YouTube Scraper" and "YouTube Comments Scraper" actors +(camelCase, `extra="allow"`). Inputs use Pydantic defaults; **every field is +additive** — unknown inputs are accepted, unsourced outputs come back as +`None`/`[]` — so parity grows without breaking consumers. `schemas.py` is the +source of truth. + +### Video scraper — input (`YouTubeScrapeInput`) + + +| Field | Type / values | Default | Notes | +| ------------------------------------------------------------------------------------------------------- | -------------------------------------------- | ------- | ---------------------------------------------------------------------------------- | +| `searchQueries` | `string[]` | `[]` | Discovery by query. Ignored when `startUrls` is set. | +| `startUrls` | `[{ "url": string }]` | `[]` | Direct URLs: video, channel, playlist, hashtag, search. Overrides `searchQueries`. | +| `maxResults` | `int ≥ 0` | `0` | Cap of regular videos **per query and per channel**. `0` = fetch none. | +| `maxResultsShorts` | `int ≥ 0` | `0` | Cap of Shorts per channel. | +| `maxResultStreams` | `int ≥ 0` | `0` | Cap of live/streams per channel. | +| `downloadSubtitles` | `bool` | `false` | Populate `subtitles[]`. | +| `subtitlesLanguage` | `string` | `"en"` | Also drives the translation flow when non-`en` (see `translatedTitle`). | +| `subtitlesFormat` | `srt` | `vtt` | `xml` | `plaintext` | `"srt"` | | +| `preferAutoGeneratedSubtitles` | `bool` | `false` | | +| `saveSubsToKVS` | `bool` | `false` | Accepted for parity; no-op (Apify key-value-store concept). | +| `sortingOrder` | `relevance` | `rating` | `date` | `views` | `null` | Search only. | +| `dateFilter` | `hour` | `today` | `week` | `month` | `year` | `null` | Search only. | +| `videoType` | `video` | `movie` | `null` | Search only. | +| `lengthFilter` | `under4` | `between420` | `plus20` | `null` | Search only (<4min / 4–20min / >20min). | +| `isHD` `hasSubtitles` `hasCC` `is3D` `isLive` `isBought` `is4K` `is360` `hasLocation` `isHDR` `isVR180` | `bool` | `null` | Search feature filters (encoded into `sp=`). | +| `oldestPostDate` | `string` (date) | `null` | Channel cutoff; day-accurate (relative times). | +| `sortVideosBy` | `NEWEST` | `POPULAR` | `OLDEST` | `null` | Channel videos tab sort chip. | + + +### Video scraper — output (`VideoItem`) + + +| Field | Type | Populated? | +| -------------------------------------------------------------- | ----------------------------------- | ------------------------------------------------------------------- | +| `title` `id` `url` `viewCount` `date` `duration` | str/int | yes | +| `type` | `video` | `shorts` | `stream` | yes | +| `thumbnailUrl` | str | yes | +| `input` `fromYTUrl` `order` | str/int | yes (provenance: source query/URL, origin URL, index) | +| `text` | str | yes (description) | +| `descriptionLinks` | `[{ url, text }]` | yes | +| `hashtags` | `string[]` | yes | +| `likes` `commentsCount` `commentsTurnedOff` | int/bool | partial (often `null` on the video path — see `commentsCount` note) | +| `location` | str | when present | +| `collaborators` | `[{ name, username, url }]` | when present | +| `translatedTitle` `translatedText` | str | when `subtitlesLanguage != "en"` | +| `subtitles` | `[{ srtUrl, type, language, srt }]` | when `downloadSubtitles` | +| `isMembersOnly` `isPaidContent` | bool | yes (default `false`) | +| `isMonetized` `isAgeRestricted` | bool | best-effort (`null` when unknown) | +| `channelName` `channelUrl` `channelUsername` `channelId` | str | yes | +| `numberOfSubscribers` `channelTotalVideos` `channelTotalViews` | int | channel/deep fields | +| `channelDescription` `channelLocation` `channelJoinedDate` | str | channel About panel | +| `isChannelVerified` `channelBannerUrl` `channelAvatarUrl` | bool/str | channel fields | + + +### Comments scraper — input (`YouTubeCommentsInput`) + + +| Field | Type / values | Default | Notes | +| ------------------- | ------------------------------- | ---------------- | ------------------------------------------------------------------- | +| `startUrls` | `[{ "url": string }]` | `[]` | Video URLs only (non-video URLs skipped). | +| `maxComments` | `int ≥ 1` | `1` | Counts **every** emitted item (top-level comments **and** replies). | +| `sortCommentsBy` | `TOP_COMMENTS` | `NEWEST_FIRST` | `"NEWEST_FIRST"` | | +| `oldestCommentDate` | `string` (date) | `null` | Forces newest-first and stops at the cutoff. | + + +### Comments scraper — output (`CommentItem`) + + +| Field | Type | Notes | +| ---------------------------------------- | ------------------- | --------------------------------------------- | +| `cid` | str | Comment id. | +| `comment` | str | Text. | +| `author` | str | | +| `type` | `comment` | `reply` | | +| `replyToCid` | str | Parent `cid` (replies only). | +| `replyCount` | int | Replies under a top-level comment. | +| `voteCount` | int | Likes. | +| `authorIsChannelOwner` `hasCreatorHeart` | bool | | +| `publishedTimeText` | str | Relative time ("2 days ago"). | +| `videoId` `pageUrl` `title` | str | Source video. | +| `commentsCount` | int | Authoritative total from the comments header. | + + +--- + +## Configuration + +- **Proxy** — required for real runs; configured via `app/utils/proxy.py` +(residential rotating gateway env vars). With no proxy configured the fetchers +fall back to one-shot direct `AsyncFetcher` calls (fine for local tests, not +for production). +- **Concurrency** — `scraper._FANOUT_CONCURRENCY` (16). The gateway handled 64 +parallel flows with zero failures in a ramp probe, so this leaves headroom. +- **Rotation** — `innertube._BLOCK_STATUSES` (`403`, `429`) and +`_MAX_ROTATIONS` (3). + +--- + +## Testing + +- **Offline unit tests** (no network) — run these on every change: + ```bash + cd surfsense_backend + .venv/Scripts/python.exe -m pytest tests/unit/scrapers/youtube/ + ``` + - `test_parsers.py` — parser/normalization + filter-protobuf + URL-resolver + cases against hand-built and (if present) captured real fixtures. + - `test_fetch_resilience.py` — deterministic rotate-on-block (`429`/error → + rotate → `200`, exhaustion, no-rotate on `404`, stealthy fallback) and the + `fan_out` no-session-leak-on-early-stop guarantee, all with stubbed sessions. +- **Live functional harness** — `scripts/e2e_youtube_scraper.py` (needs live +network + optional proxy creds). Exercises video/search/channel/comments/ +location/collaborators/translation end to end, and **regenerates the offline +fixtures** into `tests/unit/scrapers/youtube/fixtures/`: + ```bash + .venv/Scripts/python.exe scripts/e2e_youtube_scraper.py + ``` + +--- + +## Extending it + +- **Add an output field** → populate it in the relevant `parsers.py` function +and add it to `schemas.py`. Because outputs are `extra="allow"`, forgetting the +schema line won't drop the value, but declaring it documents the contract. +- **Add a URL kind** → extend `url_resolver.resolve_url` + add a `_*_flow` in +`scraper.py` and a branch in `_dispatch`. +- **Add a search filter** → add the field to `YouTubeScrapeInput` and encode it +in `search_filters.build_search_params` (verify byte-for-byte against a real +YouTube `sp=` token in the unit test). + +### Known ceilings (grep `ponytail:` in the source for the live list) + +- Hashtag scraping returns a single feed page (~20-35 videos); YouTube exposes +no continuation for the hashtag feed through this path. Upgrade path for more +depth: fall back to the `#tag` search route. +- Playlist video ids are paged sequentially (each continuation depends on the +last), then the per-video watch-page fetches run concurrently via `fan_out` +(~150 videos ≈ 70s). Because resolution is fanned out, items stream back in +completion order, not playlist order — sort by the `order` field to restore it. +- `oldestPostDate` / `oldestCommentDate` cutoffs are day-accurate at best +(channel/list pages only expose coarse relative times like "2 years ago"). +- Keyless-vs-keyed InnerTube retry does one extra request on the keyed path +instead of remembering which worked. +- Video-path `commentsCount` (see above). + diff --git a/surfsense_backend/app/proprietary/platforms/youtube/__init__.py b/surfsense_backend/app/proprietary/platforms/youtube/__init__.py new file mode 100644 index 000000000..f7d7c0d77 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/__init__.py @@ -0,0 +1,16 @@ +"""Platform-native YouTube scraper (Apify YouTube Scraper-compatible).""" + +from .comments import iter_comments, scrape_comments +from .schemas import CommentItem, VideoItem, YouTubeCommentsInput, YouTubeScrapeInput +from .scraper import iter_youtube, scrape_youtube + +__all__ = [ + "CommentItem", + "VideoItem", + "YouTubeCommentsInput", + "YouTubeScrapeInput", + "iter_comments", + "iter_youtube", + "scrape_comments", + "scrape_youtube", +] diff --git a/surfsense_backend/app/proprietary/platforms/youtube/comments.py b/surfsense_backend/app/proprietary/platforms/youtube/comments.py new file mode 100644 index 000000000..3dc64ba73 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/comments.py @@ -0,0 +1,193 @@ +"""Orchestrator for the YouTube Comments scraper (Apify-compatible). + +Distinct from the video scraper: one output item per top-level comment *and* +per reply, sourced from the InnerTube ``/next`` endpoint. The watch page seeds a +comments-section continuation; ``/next`` then returns comment entity payloads, +per-thread reply tokens, and the paging token. ``maxComments`` counts every +emitted item (comments + replies), matching Apify. +""" + +from __future__ import annotations + +import asyncio +import logging +from collections.abc import AsyncIterator +from typing import Any + +from .innertube import INNERTUBE_NEXT_URL, build_innertube_payload, fetch_html +from .parsers import ( + comment_next_token, + comment_reply_tokens, + comment_section_token, + comment_sort_tokens, + dig, + extract_yt_initial_data, + find_first, + parse_comment_entities, + parse_count, + parse_video_page, +) +from .schemas import CommentItem, YouTubeCommentsInput +from .scraper import _post, _published_date, fan_out +from .url_resolver import resolve_url + +logger = logging.getLogger(__name__) + +# Apify sort value -> YouTube sort-menu label. The section token loads "Top" by +# default, so only "Newest" needs an explicit switch request. +_SORT_LABELS = {"TOP_COMMENTS": "Top", "NEWEST_FIRST": "Newest"} + + +async def _post_next(token: str) -> dict[str, Any] | None: + return await _post( + INNERTUBE_NEXT_URL, build_innertube_payload(continuation_token=token) + ) + + +def _finalize( + partial: dict[str, Any], base: dict[str, Any], reply_to: str | None +) -> dict: + return CommentItem(**{**base, **partial, "replyToCid": reply_to}).to_output() + + +def _older(entity: dict[str, Any], cutoff) -> bool: + when = _published_date(entity.get("publishedTimeText")) + return when is not None and when < cutoff + + +async def _collect_replies( + token: str, *, parent_cid: str, base: dict[str, Any], cutoff +) -> list[dict]: + """Collect one thread's replies (``replyLevel`` 1) until exhausted.""" + replies: list[dict] = [] + while token: + data = await _post_next(token) + if not data: + break + for entity in parse_comment_entities(data): + if cutoff and _older(entity, cutoff): + continue + replies.append(_finalize(entity, base, parent_cid)) + token = comment_next_token(data) + return replies + + +async def _comments_for_video( + video_id: str, input_model: YouTubeCommentsInput +) -> AsyncIterator[dict]: + limit = input_model.maxComments + page_url = f"https://www.youtube.com/watch?v={video_id}" + html = await fetch_html(page_url) + if not html: + return + # Both helpers scan 1-2MB of watch-page HTML in pure Python; keep that + # off the event loop. + initial = await asyncio.to_thread(extract_yt_initial_data, html) + if not initial: + return + section = comment_section_token(initial) + if not section: # comments disabled or absent + return + + meta = await asyncio.to_thread(parse_video_page, html) or {} + base = { + "videoId": video_id, + "pageUrl": page_url, + "title": meta.get("title"), + "commentsCount": meta.get("commentsCount"), + } + + data = await _post_next(section) + if not data: + return + + # Authoritative total lives in the comments-section header (exact integer), + # not the watch-page HTML where the count is lazy-loaded / absent. + header = find_first(data, "commentsHeaderRenderer") + if header: + base["commentsCount"] = parse_count(dig(header, "countText", "runs", 0, "text")) + + # oldestCommentDate forces newest-first (Apify behavior). + cutoff = _published_date(input_model.oldestCommentDate) + sort = "NEWEST_FIRST" if cutoff else input_model.sortCommentsBy + label = _SORT_LABELS[sort] + if label == "Newest": + sort_tokens = comment_sort_tokens(data) + if label in sort_tokens: + switched = await _post_next(sort_tokens[label]) + if switched: + data = switched + + count = 0 + while data: + reply_tokens = comment_reply_tokens(data) + entities = parse_comment_entities(data) + + # Fetch this page's reply threads concurrently (the reused session + # multiplexes requests), then emit in Apify order: comment, its replies. + # ponytail: prefetch is capped at the remaining budget — each thread + # yields >=1 item, so more threads than budget can't all be needed. + pending = [ + (e["cid"], reply_tokens[e["cid"]]) + for e in entities + if e["cid"] in reply_tokens + ][: max(limit - count, 0)] + fetched = await asyncio.gather( + *( + _collect_replies(tok, parent_cid=cid, base=base, cutoff=cutoff) + for cid, tok in pending + ) + ) + replies_by_cid = {cid: r for (cid, _), r in zip(pending, fetched, strict=False)} + + for entity in entities: + if count >= limit: + return + # Newest-first: the first too-old comment means the rest are older. + if cutoff and _older(entity, cutoff): + return + yield _finalize(entity, base, None) + count += 1 + + for reply in replies_by_cid.get(entity["cid"], []): + if count >= limit: + return + yield reply + count += 1 + + token = comment_next_token(data) + if not token or count >= limit: + return + data = await _post_next(token) + + +async def iter_comments(input_model: YouTubeCommentsInput) -> AsyncIterator[dict]: + """Yield Apify-shaped comment items for every startUrl video. + + Videos are scraped concurrently (each video's own comment paging stays + sequential), which is the dominant speedup when reviewing many videos. + """ + jobs = [] + for entry in input_model.startUrls: + resolved = resolve_url(entry.url) + if not resolved or resolved.kind != "video": + logger.warning("Comments: not a video URL, skipping: %s", entry.url) + continue + jobs.append(_comments_for_video(resolved.value, input_model)) + async for comment in fan_out(jobs): + yield comment + + +async def scrape_comments( + input_model: YouTubeCommentsInput, *, limit: int | None = None +) -> list[dict]: + """Collect :func:`iter_comments` into a list, honoring an optional guard.""" + from app.capabilities.core.progress import emit_progress + + results: list[dict] = [] + async for comment in iter_comments(input_model): + results.append(comment) + emit_progress("scraping", current=len(results), total=limit, unit="comment") + if limit is not None and len(results) >= limit: + break + return results diff --git a/surfsense_backend/app/proprietary/platforms/youtube/innertube.py b/surfsense_backend/app/proprietary/platforms/youtube/innertube.py new file mode 100644 index 000000000..dd5b71457 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/innertube.py @@ -0,0 +1,318 @@ +"""Proxy-aware fetch seam + InnerTube payload builder for the YouTube scraper. + +All network I/O for the scraper flows through :func:`fetch_html` and +:func:`post_innertube`, and always egresses through the residential proxy (never +a direct connection — that would expose and risk-block the server IP). Within a +continuation chain, :func:`proxy_session` opens ONE reused keep-alive session so +sequential pages share a connection and a sticky exit IP (roughly halving warm +latency vs a fresh rotating IP per request). HTML pages fall back to a +``StealthyFetcher`` browser tier for anti-bot walls. Parsers and the orchestrator +never see which tier served the bytes. + +The ``AsyncFetcher.post(..., json=...)`` + ``page.json()`` / ``page.html_content`` +pattern is already proven in ``app/routes/youtube_routes.py``. +""" + +from __future__ import annotations + +import asyncio +import logging +import time +from contextlib import asynccontextmanager, suppress +from contextvars import ContextVar +from typing import Any + +from scrapling.fetchers import AsyncFetcher, FetcherSession + +from app.utils.proxy import get_proxy_url + +try: # browser tier is optional (needs patchright browsers installed) + from scrapling.fetchers import StealthyFetcher +except Exception: # pragma: no cover - import guard + StealthyFetcher = None # type: ignore[assignment] + +logger = logging.getLogger(__name__) + +# Per-flow proxy session (set by ``proxy_session`` around one continuation +# chain). Reusing one keep-alive connection halves warm latency AND pins a +# single sticky exit IP on the rotating gateway, instead of paying a fresh +# TCP+TLS handshake and drawing a new (often slow) residential node per request. +# A ContextVar keeps each concurrent fan-out flow on its own session/IP without +# threading a param through every parser call. +_current_session: ContextVar[_RotatingSession | None] = ContextVar( + "yt_proxy_session", default=None +) + +# Statuses that mean "this IP is throttled/blocked" -> rotate to a fresh one. +# A probe of 120 sequential requests on one sticky IP saw zero blocks, so we +# stay sticky for speed and rotate only *reactively*, up to this many times per +# request. ponytail upgrade path: also rotate proactively every N requests if a +# future run ever trips these. +_BLOCK_STATUSES = frozenset({403, 429}) +_MAX_ROTATIONS = 3 + + +class _RotatingSession: + """Owns one live ``FetcherSession`` (sticky IP) and can swap it for a fresh one. + + ``rotate()`` closes the current keep-alive connection and opens a new one, so + the rotating gateway hands out a different residential exit IP. Used + sequentially within a single flow (never shared across concurrent tasks), so + no locking is needed. ``session`` is ``None`` only when no proxy is configured. + """ + + def __init__(self) -> None: + self._cm: Any | None = None + self.session: Any | None = None + self.rotations = 0 + + async def _open(self) -> None: + proxy = get_proxy_url() + if proxy is None: + self._cm = self.session = None + return + self._cm = FetcherSession( + proxy=proxy, stealthy_headers=True, impersonate="chrome" + ) + self.session = await self._cm.__aenter__() + + async def close(self) -> None: + if self._cm is not None: + with suppress(Exception): # best-effort teardown + await self._cm.__aexit__(None, None, None) + self._cm = self.session = None + + async def rotate(self) -> Any | None: + """Drop the current IP and connect through a fresh one. Returns new session.""" + await self.close() + self.rotations += 1 + await self._open() + logger.info("[youtube] rotated proxy session (rotation #%d)", self.rotations) + return self.session + + +async def open_proxy_holder() -> _RotatingSession: + """Open a warm rotate-on-block session holder (caller owns ``close()``).""" + holder = _RotatingSession() + await holder._open() + return holder + + +@asynccontextmanager +async def bind_proxy_holder(holder: _RotatingSession): + """Route this task's fetches through ``holder`` for the enclosed block. + + Does NOT close the holder — enables pooling warm sessions across sequential + jobs so each job skips the ~2s proxy TCP+TLS handshake. + """ + token = _current_session.set(holder) + try: + yield holder + finally: + _current_session.reset(token) + + +@asynccontextmanager +async def proxy_session(): + """Open one reused, rotate-on-block proxy session for a continuation chain.""" + holder = await open_proxy_holder() + try: + async with bind_proxy_holder(holder): + yield holder + finally: + await holder.close() + + +# Consent cookies to dodge the EU consent interstitial that otherwise returns a +# page with no ``ytInitialData``. Mirrors app/routes/youtube_routes.py. +CONSENT_COOKIES = { + "CONSENT": "PENDING+999", + "SOCS": "CAISNQgDEitib3FfaWRlbnRpdHlmcm9udGVuZHVpc2VydmVyXzIwMjMwODI5LjA3X3AxGgJlbiADGgYIgOa_pgY", +} + +# Public InnerTube "WEB" client block. The web API key below is YouTube's +# long-standing public key; ``search``/``next`` may reject a keyless POST where +# ``browse`` accepts it, so the builder can attach both key and visitorData. +INNERTUBE_PUBLIC_API_KEY = "AIzaSyAO_FJ2SlqU8Q4STEHLGCilw_Y9_11qcW8" + +INNERTUBE_BROWSE_URL = "https://www.youtube.com/youtubei/v1/browse" +INNERTUBE_SEARCH_URL = "https://www.youtube.com/youtubei/v1/search" +INNERTUBE_NEXT_URL = "https://www.youtube.com/youtubei/v1/next" + + +def build_innertube_payload( + *, + continuation_token: str | None = None, + browse_id: str | None = None, + search_query: str | None = None, + search_params: str | None = None, + visitor_data: str | None = None, + video_id: str | None = None, + hl: str | None = None, +) -> dict[str, Any]: + """Build the standard InnerTube ``context.client`` payload. + + Ported from the Scrapfly reference ``call_youtube_api`` but I/O-free so it is + unit-testable and reusable across browse/search/next/player endpoints. + ``hl`` selects the response language: a ``/next`` call with a non-default + ``hl`` returns the video's creator-localized title/description. + """ + client: dict[str, Any] = { + "hl": hl or "en", + "gl": "US", + "clientName": "WEB", + "clientVersion": "2.20241111.07.00", + "platform": "DESKTOP", + "userInterfaceTheme": "USER_INTERFACE_THEME_DARK", + } + if visitor_data: + client["visitorData"] = visitor_data + + payload: dict[str, Any] = { + "context": { + "client": client, + "user": {"lockedSafetyMode": False}, + "request": {"useSsl": True}, + } + } + if browse_id is not None: + payload["browseId"] = browse_id + if video_id is not None: + payload["videoId"] = video_id + if search_query is not None: + payload["query"] = search_query + if search_params is not None: + payload["params"] = search_params + if continuation_token is not None: + payload["continuation"] = continuation_token + return payload + + +async def post_innertube( + base_url: str, + payload: dict[str, Any], + *, + api_key: str | None = None, +) -> dict[str, Any] | None: + """POST an InnerTube payload and return parsed JSON (or ``None`` on failure). + + Always egresses through the proxy (a reused per-flow session when one is + open, else a one-shot ``AsyncFetcher``). Never connects directly — a direct + hit would expose and risk-block the server IP. + """ + url = f"{base_url}?key={api_key}" if api_key else base_url + holder = _current_session.get() + for attempt in range(_MAX_ROTATIONS + 1): + session = holder.session if holder else None + try: + started = time.perf_counter() + if session is not None: + page = await session.post(url, json=payload) + else: + page = await AsyncFetcher.post( + url, json=payload, proxy=get_proxy_url(), stealthy_headers=True + ) + fetch_ms = (time.perf_counter() - started) * 1000 + logger.info( + "[youtube][perf] source=innertube reused=%s url=%s status=%s fetch_ms=%.1f", + session is not None, + base_url, + page.status, + fetch_ms, + ) + if page.status == 200: + return page.json() + logger.warning("InnerTube POST %s returned %s", base_url, page.status) + if not ( + holder and page.status in _BLOCK_STATUSES and attempt < _MAX_ROTATIONS + ): + return None + except Exception as e: + logger.warning("InnerTube POST %s failed: %s", base_url, e) + if not (holder and attempt < _MAX_ROTATIONS): + return None + await holder.rotate() # blocked/errored on a proxy session: try a fresh IP + return None + + +async def fetch_html(url: str, *, cookies: dict[str, str] | None = None) -> str | None: + """GET a YouTube page and return raw HTML (or ``None`` on failure). + + Fetches through the proxy (reused per-flow session when open, else a one-shot + ``AsyncFetcher``); falls back to the ``StealthyFetcher`` browser tier for + anti-bot walls. Sets consent cookies by default so EU-egress fetches don't + hit the consent wall and return a page without ``ytInitialData``. + """ + merged = {**CONSENT_COOKIES, **(cookies or {})} + headers = {"Accept-Language": "en-US,en;q=0.9"} + holder = _current_session.get() + for attempt in range(_MAX_ROTATIONS + 1): + session = holder.session if holder else None + try: + started = time.perf_counter() + if session is not None: + page = await session.get(url, headers=headers, cookies=merged) + else: + page = await AsyncFetcher.get( + url, + headers=headers, + cookies=merged, + proxy=get_proxy_url(), + stealthy_headers=True, + ) + fetch_ms = (time.perf_counter() - started) * 1000 + logger.info( + "[youtube][perf] source=html reused=%s url=%s status=%s fetch_ms=%.1f", + session is not None, + url, + page.status, + fetch_ms, + ) + if page.status == 200: + return page.html_content + logger.warning("HTML GET %s returned %s", url, page.status) + if not ( + holder and page.status in _BLOCK_STATUSES and attempt < _MAX_ROTATIONS + ): + break + except Exception as e: + logger.warning("HTML GET %s failed: %s", url, e) + if not (holder and attempt < _MAX_ROTATIONS): + break + await holder.rotate() # blocked/errored on a proxy session: try a fresh IP + # All proxy attempts blocked/failed -> last-resort browser tier. + return await _fetch_html_stealthy(url) + + +async def _fetch_html_stealthy(url: str) -> str | None: + """Last-resort browser fetch for anti-bot walls (mirrors the crawler tier). + + ``StealthyFetcher.fetch`` is synchronous, so it runs in a worker thread to + keep the event loop free. Returns ``None`` when the browser tier is + unavailable or still blocked. + """ + if StealthyFetcher is None: + return None + try: + started = time.perf_counter() + page = await asyncio.to_thread( + StealthyFetcher.fetch, + url, + headless=True, + network_idle=True, + solve_cloudflare=True, + proxy=get_proxy_url(), + ) + fetch_ms = (time.perf_counter() - started) * 1000 + logger.info( + "[youtube][perf] source=html tier=stealthy url=%s status=%s fetch_ms=%.1f", + url, + page.status, + fetch_ms, + ) + if page.status == 200: + return page.html_content + logger.warning("HTML GET %s tier=stealthy returned %s", url, page.status) + except Exception as e: + logger.warning("HTML GET %s tier=stealthy failed: %s", url, e) + return None diff --git a/surfsense_backend/app/proprietary/platforms/youtube/parsers.py b/surfsense_backend/app/proprietary/platforms/youtube/parsers.py new file mode 100644 index 000000000..0f721c29e --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/parsers.py @@ -0,0 +1,826 @@ +"""Pure parsing/normalization for YouTube page + InnerTube JSON. + +I/O-free and dependency-free (no ``jmespath``/``jsonpath-ng``): all traversal +uses two tiny helpers — :func:`find_all` (the ``$..key`` equivalent, same style +as ``_extract_playlist_video_ids`` in ``app/routes/youtube_routes.py``) and +:func:`dig` (null-safe positional get). Ported from the Scrapfly reference +``references/scrapfly-scrapers/youtube-scraper/youtube.py`` with all brittle deep +jmespath paths rewritten and the throwing ``convert_to_number`` replaced by a +robust :func:`parse_count`. +""" + +from __future__ import annotations + +import json +import re +from typing import Any +from urllib.parse import parse_qs, urlparse + +# --------------------------------------------------------------------------- +# Traversal helpers +# --------------------------------------------------------------------------- + + +def find_all(obj: Any, key: str) -> list[Any]: + """Collect every value stored under ``key`` anywhere in a nested structure.""" + out: list[Any] = [] + + def _walk(node: Any) -> None: + if isinstance(node, dict): + for k, v in node.items(): + if k == key: + out.append(v) + _walk(v) + elif isinstance(node, list): + for item in node: + _walk(item) + + _walk(obj) + return out + + +def find_first(obj: Any, key: str) -> Any: + """First value stored under ``key`` anywhere in the structure, else ``None``.""" + matches = find_all(obj, key) + return matches[0] if matches else None + + +def find_last(obj: Any, key: str) -> Any: + """Last value stored under ``key`` (continuation tokens want the newest).""" + matches = find_all(obj, key) + return matches[-1] if matches else None + + +def dig(obj: Any, *path: Any) -> Any: + """Null-safe positional get through dict keys / list indices.""" + cur = obj + for step in path: + if isinstance(step, int) and isinstance(cur, list): + if -len(cur) <= step < len(cur): + cur = cur[step] + else: + return None + elif isinstance(cur, dict): + cur = cur.get(step) + else: + return None + if cur is None: + return None + return cur + + +# --------------------------------------------------------------------------- +# Value normalization +# --------------------------------------------------------------------------- + +_COUNT_RE = re.compile(r"([\d,.]+)\s*([KMB]?)", re.IGNORECASE) +_MULTIPLIER = {"": 1, "K": 1_000, "M": 1_000_000, "B": 1_000_000_000} + + +def parse_count(value: Any) -> int | None: + """Normalize a YouTube count string to an int, else ``None``. + + Handles ``"451K views"``, ``"1.2M"``, ``"1,234"``, plain ints, and returns + ``None`` for ``"No views"`` / missing (the reference's ``convert_to_number`` + throws on all of these). + """ + if value is None: + return None + if isinstance(value, int | float): + return int(value) + if not isinstance(value, str): + return None + match = _COUNT_RE.search(value.strip()) + if not match: + return None + number, suffix = match.group(1), match.group(2).upper() + number = number.replace(",", "") + if number in ("", "."): + return None + try: + return int(float(number) * _MULTIPLIER[suffix]) + except (ValueError, KeyError): + return None + + +def parse_date(microformat: dict | None) -> str | None: + """Prefer the real publish date from a video's microformat renderer. + + ``playerMicroformatRenderer.publishDate`` is an actual date (``2024-08-27``), + unlike the relative ``"7 days ago"`` strings on list pages. + """ + if not microformat: + return None + return microformat.get("publishDate") or microformat.get("uploadDate") + + +def seconds_to_duration(seconds: Any) -> str | None: + """Format a length in seconds as ``HH:MM:SS`` (Apify ``duration`` shape).""" + total = parse_count(seconds) + if total is None: + return None + hours, rem = divmod(total, 3600) + minutes, secs = divmod(rem, 60) + return f"{hours:02d}:{minutes:02d}:{secs:02d}" + + +def _best_thumbnail(thumbnails: Any) -> str | None: + """Return the highest-resolution thumbnail URL from a thumbnails list.""" + if not isinstance(thumbnails, list) or not thumbnails: + return None + best = None + best_area = -1 + for t in thumbnails: + if not isinstance(t, dict) or "url" not in t: + continue + area = (t.get("width") or 0) * (t.get("height") or 0) + if area >= best_area: + best_area = area + best = t["url"] + return best + + +# --------------------------------------------------------------------------- +# Embedded page-JSON extraction (brace matcher, from youtube_routes.py) +# --------------------------------------------------------------------------- + + +def _extract_json_object(html: str, patterns: list[re.Pattern[str]]) -> dict | None: + start = -1 + for pattern in patterns: + match = pattern.search(html) + if match: + start = match.end() + break + if start == -1: + return None + + depth = 0 + i = start + while i < len(html): + ch = html[i] + if ch == "{": + depth += 1 + elif ch == "}": + depth -= 1 + if depth == 0: + break + elif ch == '"': + i += 1 + while i < len(html) and html[i] != '"': + if html[i] == "\\": + i += 1 + i += 1 + i += 1 + + try: + return json.loads(html[start : i + 1]) + except (json.JSONDecodeError, IndexError): + return None + + +def extract_yt_initial_data(html: str) -> dict | None: + """Extract the ``ytInitialData`` object embedded in a YouTube page.""" + return _extract_json_object( + html, + [ + re.compile(r"var\s+ytInitialData\s*=\s*"), + re.compile(r'window\["ytInitialData"\]\s*=\s*'), + ], + ) + + +def extract_yt_initial_player_response(html: str) -> dict | None: + """Extract the ``ytInitialPlayerResponse`` object from a video page.""" + return _extract_json_object( + html, + [ + re.compile(r"var\s+ytInitialPlayerResponse\s*=\s*"), + re.compile(r'window\["ytInitialPlayerResponse"\]\s*=\s*'), + ], + ) + + +# --------------------------------------------------------------------------- +# Page / API parsers -> partial VideoItem dicts +# --------------------------------------------------------------------------- + + +def _unwrap_redirect(url: str) -> str: + """Resolve a ``youtube.com/redirect?...&q=<target>`` link to its target.""" + if "/redirect" in url and "q=" in url: + q = parse_qs(urlparse(url).query).get("q") + if q: + return q[0] + if url.startswith("/"): + return f"https://www.youtube.com{url}" + return url + + +def parse_description_links(initial: dict) -> list[dict[str, str]] | None: + """Extract ``{url, text}`` links from the video's attributed description. + + Each ``commandRun`` marks a linked span (``startIndex``/``length``) into the + description ``content``; external links are wrapped in a YouTube redirect + whose real target is the ``q`` query param. + """ + ad = find_first(initial, "attributedDescription") + if not isinstance(ad, dict): + return None + content = ad.get("content") or "" + # YouTube's startIndex/length are UTF-16 code-unit offsets (JS string + # semantics); emoji in the description are surrogate pairs, so slice on the + # UTF-16-LE bytes to keep spans aligned instead of Python code points. + units = content.encode("utf-16-le") + out: list[dict[str, str]] = [] + for run in ad.get("commandRuns") or []: + start, length = run.get("startIndex"), run.get("length") + if not isinstance(start, int) or not isinstance(length, int): + continue + cmd = dig(run, "onTap", "innertubeCommand") + url = dig(cmd, "urlEndpoint", "url") or dig( + cmd, "commandMetadata", "webCommandMetadata", "url" + ) + if not url: + continue + text = units[start * 2 : (start + length) * 2].decode("utf-16-le", "ignore") + out.append({"url": _unwrap_redirect(url), "text": text}) + return out or None + + +def _comments_turned_off(initial: dict) -> bool | None: + """Detect a disabled comments section, else ``None`` if no section is present. + + An enabled section carries a ``continuationItemRenderer`` (the token that + loads the comments); a disabled one keeps the section but drops the token. + """ + sections = [ + s + for s in find_all(initial, "itemSectionRenderer") + if isinstance(s, dict) and s.get("sectionIdentifier") == "comment-item-section" + ] + if not sections: + return None + return not any(find_all(s, "continuationItemRenderer") for s in sections) + + +def _is_members_only(player: dict, initial: dict) -> bool: + """True for members-only videos (a members badge or a members-only offer).""" + for badge in find_all(initial, "metadataBadgeRenderer"): + if ( + isinstance(badge, dict) + and badge.get("style") == "BADGE_STYLE_TYPE_MEMBERS_ONLY" + ): + return True + status = player.get("playabilityStatus") or {} + return find_first(status, "offerId") == "sponsors_only_video" + + +def _is_age_restricted(player: dict, microformat: dict) -> bool | None: + """True when the player response signals an age gate, else ``None``. + + ``playabilityStatus`` is authoritative (age-gated videos report a legacy age + gate reason or an "age"-mentioning reason); ``isFamilySafe`` is the fallback. + """ + status = player.get("playabilityStatus") + if isinstance(status, dict): + reason = (status.get("reason") or "").lower() + if status.get("desktopLegacyAgeGateReason") or "age" in reason: + return True + if microformat.get("isFamilySafe") is False: + return True + return None + + +def _channel_from_byline(renderer: dict) -> dict[str, Any]: + """Pull channel name/id/url from a list item's owner byline runs. + + Search ``videoRenderer``s carry the uploader in ``ownerText`` / + ``longBylineText``; the run's ``browseEndpoint`` holds the channel id and the + canonical ``/@handle`` (or ``/channel/UC...``) url. + """ + run = dig(renderer, "ownerText", "runs", 0) or dig( + renderer, "longBylineText", "runs", 0 + ) + if not isinstance(run, dict): + return {} + browse = dig(run, "navigationEndpoint", "browseEndpoint") or {} + cid = browse.get("browseId") + base = browse.get("canonicalBaseUrl") + out: dict[str, Any] = {} + if run.get("text"): + out["channelName"] = run["text"] + if cid: + out["channelId"] = cid + if isinstance(base, str) and base: + out["channelUrl"] = f"https://www.youtube.com{base}" + if base.startswith("/@"): + out["channelUsername"] = base[2:] or None + elif cid: + out["channelUrl"] = f"https://www.youtube.com/channel/{cid}" + return out + + +def parse_channel_metadata(initial_data: dict) -> dict[str, Any]: + """Channel identity from ``channelMetadataRenderer`` (in the channel HTML). + + Zero extra fetch: name/id/url/avatar/description are already in the channel + page's ``ytInitialData`` and apply to every video the channel flow yields. + """ + meta = find_first(initial_data, "channelMetadataRenderer") + if not isinstance(meta, dict): + return {} + out: dict[str, Any] = {} + if meta.get("title"): + out["channelName"] = meta["title"] + if meta.get("externalId"): + out["channelId"] = meta["externalId"] + if meta.get("description"): + out["channelDescription"] = meta["description"] + url = meta.get("vanityChannelUrl") or meta.get("channelUrl") + if url: + out["channelUrl"] = url + avatar = _best_thumbnail(dig(meta, "avatar", "thumbnails")) + if avatar: + out["channelAvatarUrl"] = avatar + banner = _best_thumbnail( + dig( + find_first(initial_data, "pageHeaderViewModel"), + "banner", + "imageBannerViewModel", + "image", + "sources", + ) + ) + if banner: + out["channelBannerUrl"] = banner + return out + + +def channel_about_tokens(initial_data: dict) -> list[str]: + """Continuation tokens for the channel's engagement panels (one is About). + + The About panel isn't embedded in the channel HTML; it's fetched via a + ``/browse`` continuation. Panels aren't labeled, so callers try each token + and keep the response that yields an ``aboutChannelViewModel``. + """ + tokens: list[str] = [] + for ep in find_all(initial_data, "showEngagementPanelEndpoint"): + token = dig(find_first(ep, "continuationCommand"), "token") + if token: + tokens.append(token) + return tokens + + +def parse_channel_about(about: dict) -> dict[str, Any]: + """Deep channel fields from an ``aboutChannelViewModel``.""" + out: dict[str, Any] = {} + if about.get("description"): + out["channelDescription"] = about["description"] + if about.get("country"): + out["channelLocation"] = about["country"] + subs = parse_count(about.get("subscriberCountText")) + if subs is not None: + out["numberOfSubscribers"] = subs + views = parse_count(about.get("viewCountText")) + if views is not None: + out["channelTotalViews"] = views + videos = parse_count(about.get("videoCountText")) + if videos is not None: + out["channelTotalVideos"] = videos + joined = dig(about, "joinedDateText", "content") or about.get("joinedDateText") + if isinstance(joined, str) and joined: + # "Joined Feb 8, 2005" -> keep the date portion. + out["channelJoinedDate"] = joined.replace("Joined", "").strip() + return out + + +# The primary-info super-title links to a geo-restricted search for tagged +# videos; its a11y label is the reliable "is this a location?" signal (the same +# slot holds hashtags otherwise). The label is English (hl=en client). +_GEO_TAG_RE = re.compile(r"geo tagged with (.+)", re.IGNORECASE) + + +def parse_location(initial: dict) -> str | None: + """Video geo-tag (place name) from ``videoPrimaryInfoRenderer.superTitleLink``. + + Returns ``None`` when the super-title is hashtags (or absent) rather than a + location. The place name is read from the a11y label ("...geo tagged with + Rome"), which is proper-cased where the visible runs are upper-cased. + """ + st = dig(find_first(initial, "videoPrimaryInfoRenderer"), "superTitleLink") + if not isinstance(st, dict): + return None + label = dig(st, "accessibility", "accessibilityData", "label") or "" + match = _GEO_TAG_RE.search(label) + return match.group(1).strip() if match else None + + +def parse_translation(next_data: dict) -> tuple[str | None, str | None]: + """(title, description) from a ``/next`` response fetched with a target ``hl``. + + YouTube renders the creator-localized title/description into + ``videoPrimaryInfoRenderer`` / ``videoSecondaryInfoRenderer`` for the request + language. Videos without a localization return their original text. + """ + vpir = find_first(next_data, "videoPrimaryInfoRenderer") or {} + title = ( + "".join(r.get("text", "") for r in (dig(vpir, "title", "runs") or [])) or None + ) + + vsir = find_first(next_data, "videoSecondaryInfoRenderer") or {} + description = dig(vsir, "attributedDescription", "content") + if description is None: + description = ( + "".join(r.get("text", "") for r in (dig(vsir, "description", "runs") or [])) + or None + ) + return title, description + + +def parse_collaborators(initial: dict) -> list[dict[str, str | None]] | None: + """Collaborator channels from the multi-owner "Collaborators" dialog. + + Collaboration videos replace the owner's plain ``title`` with an + ``attributedTitle`` whose tap opens a dialog listing each credited channel + (``listItemViewModel``). Returns ``None`` for ordinary single-owner videos. + """ + owner = dig( + find_first(initial, "videoSecondaryInfoRenderer"), "owner", "videoOwnerRenderer" + ) + attributed = owner.get("attributedTitle") if isinstance(owner, dict) else None + if not isinstance(attributed, dict): + return None + + # The dialog's own list holds one row per channel. Read those rows directly + # (not find_all) — each row's subscribe button nests its own menu items. + dialog = find_first(attributed, "dialogViewModel") + rows = dig(find_first(dialog, "listViewModel"), "listItems") or [] + + collaborators: list[dict[str, str | None]] = [] + for row in rows: + item = row.get("listItemViewModel") if isinstance(row, dict) else None + name = dig(item, "title", "content") + if not name: + continue + base = dig(find_first(item, "browseEndpoint"), "canonicalBaseUrl") + collaborators.append( + { + "name": name, + "username": base[2:] + if isinstance(base, str) and base.startswith("/@") + else None, + "url": f"https://www.youtube.com{base}" + if isinstance(base, str) and base + else None, + } + ) + return collaborators or None + + +def parse_video_page(html: str) -> dict[str, Any] | None: + """Parse a video/shorts watch page into a partial VideoItem dict. + + Merges ``ytInitialPlayerResponse.videoDetails`` (title, views, length, + description, thumbnails) with ``ytInitialData`` (likes, comment count, + channel info) and the microformat renderer (real publish date). + """ + player = extract_yt_initial_player_response(html) + initial = extract_yt_initial_data(html) + if not player: + return None + + details = player.get("videoDetails") or {} + microformat = dig(player, "microformat", "playerMicroformatRenderer") or {} + video_id = details.get("videoId") + + result: dict[str, Any] = { + "id": video_id, + "url": f"https://www.youtube.com/watch?v={video_id}" if video_id else None, + "title": details.get("title"), + "text": details.get("shortDescription"), + "viewCount": parse_count(details.get("viewCount")), + "duration": seconds_to_duration(details.get("lengthSeconds")), + "date": parse_date(microformat), + "thumbnailUrl": _best_thumbnail(dig(details, "thumbnail", "thumbnails")), + "hashtags": details.get("keywords") or [], + "channelName": details.get("author"), + "channelId": details.get("channelId"), + "isAgeRestricted": _is_age_restricted(player, microformat), + # Monetized ⇔ the player response carries ad slots. ponytail: absence + # isn't proof (a logged-out fetch may omit ads), so False→None, not False. + "isMonetized": bool(player.get("adPlacements") or player.get("playerAds")) + or None, + "isMembersOnly": _is_members_only(player, initial or {}), + # "Includes paid promotion" disclosure overlay. + "isPaidContent": find_first(player, "paidContentOverlayRenderer") is not None, + } + + if initial: + # Likes: the LIKE button's label carries the count string. + likes = [ + b.get("title") + for b in find_all(initial, "buttonViewModel") + if isinstance(b, dict) and b.get("iconName") == "LIKE" + ] + result["likes"] = parse_count(likes[0]) if likes else None + + # Comment count lives in the engagement panel contextual info. + contextual = find_first(initial, "contextualInfo") + result["commentsCount"] = parse_count(dig(contextual, "runs", 0, "text")) + result["commentsTurnedOff"] = _comments_turned_off(initial) + result["descriptionLinks"] = parse_description_links(initial) + result["location"] = parse_location(initial) + result["collaborators"] = parse_collaborators(initial) + + # Channel handle / URL from the canonical base url ("/@Handle"). + base = find_first(initial, "canonicalBaseUrl") + if isinstance(base, str) and base: + result["channelUrl"] = f"https://www.youtube.com{base}" + # Only "/@handle" yields a username; "/channel/UC..." is an id, not a handle. + if base.startswith("/@"): + result["channelUsername"] = base[2:] or None + + subs = find_first(initial, "subscriberCountText") + result["numberOfSubscribers"] = parse_count( + subs.get("simpleText") if isinstance(subs, dict) else subs + ) + + # Verified badge on the channel owner. + badges = find_all(initial, "metadataBadgeRenderer") + result["isChannelVerified"] = ( + any(isinstance(b, dict) and b.get("tooltip") == "Verified" for b in badges) + or None + ) + + return result + + +def _view_count_from_renderer(renderer: dict) -> int | None: + for key in ("shortViewCountText", "viewCountText"): + node = renderer.get(key) + if isinstance(node, dict): + text = node.get("simpleText") or dig(node, "runs", 0, "text") + count = parse_count(text) + if count is not None: + return count + return None + + +def parse_search_response(data: dict) -> tuple[list[dict[str, Any]], str | None]: + """Parse an InnerTube search response into partial VideoItem dicts + token.""" + results: list[dict[str, Any]] = [] + for r in find_all(data, "videoRenderer"): + if not isinstance(r, dict) or "videoId" not in r: + continue + vid = r["videoId"] + results.append( + { + "id": vid, + "url": f"https://www.youtube.com/watch?v={vid}", + "title": dig(r, "title", "runs", 0, "text"), + "text": dig( + r, "detailedMetadataSnippets", 0, "snippetText", "runs", 0, "text" + ), + "date": None, # list pages only expose relative time + "publishedTimeText": dig(r, "publishedTimeText", "simpleText"), + "duration": dig(r, "lengthText", "simpleText"), + "viewCount": _view_count_from_renderer(r), + "thumbnailUrl": _best_thumbnail(dig(r, "thumbnail", "thumbnails")), + **_channel_from_byline(r), + } + ) + return results, _continuation_token(data) + + +def _continuation_token(data: dict) -> str | None: + tokens = [ + t.get("token") + for t in find_all(data, "continuationCommand") + if isinstance(t, dict) and t.get("token") + ] + return tokens[-1] if tokens else None + + +def parse_playlist_video_ids(data: dict) -> tuple[list[str], str | None]: + """Ordered, de-duped video ids + paging token from a playlist ``/browse``. + + Playlist entries are ``lockupViewModel`` (the old ``playlistVideoRenderer`` + is retired); ``contentId`` holds the id. The 11-char guard keeps only videos + and drops any playlist/channel lockup (e.g. the sidebar self-lockup). The + token pages long playlists; callers must still guard against an empty page, + since a short playlist can emit a spurious (non-paging) continuation. + """ + seen: set[str] = set() + ids: list[str] = [] + for lockup in find_all(data, "lockupViewModel"): + vid = lockup.get("contentId") if isinstance(lockup, dict) else None + if vid and len(vid) == 11 and vid not in seen: + seen.add(vid) + ids.append(vid) + return ids, _continuation_token(data) + + +def parse_channel_videos(data: dict) -> tuple[list[dict[str, Any]], str | None]: + """Parse an InnerTube channel-videos browse response (richItem lockups).""" + results: list[dict[str, Any]] = [] + for item in find_all(data, "richItemRenderer"): + lockup = dig(item, "content", "lockupViewModel") + if not isinstance(lockup, dict): + continue + vid = lockup.get("contentId") + if not vid: + continue + meta = dig(lockup, "metadata", "lockupMetadataViewModel") + rows = dig(meta, "metadata", "contentMetadataViewModel", "metadataRows") or [] + parts = dig(rows, 0, "metadataParts") or [] + results.append( + { + "id": vid, + "url": f"https://www.youtube.com/watch?v={vid}", + "title": dig(meta, "title", "content"), + "viewCount": parse_count(dig(parts, 0, "text", "content")), + "date": None, + "publishedTimeText": dig(parts, 1, "text", "content"), + "duration": _lockup_duration(lockup), + "thumbnailUrl": _best_thumbnail( + dig( + lockup, "contentImage", "thumbnailViewModel", "image", "sources" + ) + ), + } + ) + return results, _continuation_token(data) + + +def parse_channel_shorts(data: dict) -> tuple[list[dict[str, Any]], str | None]: + """Parse a channel Shorts browse/seed response (``shortsLockupViewModel``). + + Shorts use a different lockup than videos/streams: the id is on the reel + watch endpoint, and title/views live in ``overlayMetadata``. + """ + results: list[dict[str, Any]] = [] + for s in find_all(data, "shortsLockupViewModel"): + if not isinstance(s, dict): + continue + vid = dig(s, "onTap", "innertubeCommand", "reelWatchEndpoint", "videoId") + if not vid: + entity = s.get("entityId") or "" + vid = entity.rsplit("-", 1)[-1] if entity else None + if not vid: + continue + results.append( + { + "id": vid, + "url": f"https://www.youtube.com/shorts/{vid}", + "title": dig(s, "overlayMetadata", "primaryText", "content"), + "viewCount": parse_count( + dig(s, "overlayMetadata", "secondaryText", "content") + ), + "date": None, + "thumbnailUrl": _best_thumbnail( + dig(s, "thumbnailViewModel", "image", "sources") + ), + } + ) + return results, _continuation_token(data) + + +def _lockup_duration(lockup: dict) -> str | None: + overlays = dig(lockup, "contentImage", "thumbnailViewModel", "overlays") or [] + for overlay in overlays: + text = dig( + overlay, + "thumbnailBottomOverlayViewModel", + "badges", + 0, + "thumbnailBadgeViewModel", + "text", + ) + if text: + return text + return None + + +# --------------------------------------------------------------------------- +# Comments (/next endpoint) +# --------------------------------------------------------------------------- + + +def comment_section_token(initial_data: dict) -> str | None: + """The watch page's comments-section continuation (seeds the /next call).""" + for section in find_all(initial_data, "itemSectionRenderer"): + if ( + isinstance(section, dict) + and section.get("sectionIdentifier") == "comment-item-section" + ): + token = dig( + find_first(section, "continuationItemRenderer"), + "continuationEndpoint", + "continuationCommand", + "token", + ) + if token: + return token + return None + + +def comment_sort_tokens(data: dict) -> dict[str, str]: + """Map the comment sort labels ("Top"/"Newest") to their continuations.""" + tokens: dict[str, str] = {} + sub = find_first(data, "sortFilterSubMenuRenderer") + for item in dig(sub, "subMenuItems") or []: + title = item.get("title") if isinstance(item, dict) else None + token = dig(item, "serviceEndpoint", "continuationCommand", "token") + if title and token: + tokens[title] = token + return tokens + + +def _comment_continuation_items(data: dict) -> list[Any]: + items: list[Any] = [] + for key in ("reloadContinuationItemsCommand", "appendContinuationItemsAction"): + for action in find_all(data, key): + if isinstance(action, dict): + items += action.get("continuationItems") or [] + return items + + +def comment_next_token(data: dict) -> str | None: + """Pagination token: the trailing bare ``continuationItemRenderer``. + + Reply loaders are nested inside ``commentThreadRenderer``s; the page's own + "load more" token is the last top-level continuation item, so scan the + action's ``continuationItems`` from the end. + """ + for item in reversed(_comment_continuation_items(data)): + if isinstance(item, dict) and "continuationItemRenderer" in item: + token = dig( + item, + "continuationItemRenderer", + "continuationEndpoint", + "continuationCommand", + "token", + ) + if token: + return token + return None + + +def comment_reply_tokens(data: dict) -> dict[str, str]: + """Map each top-level comment id to its replies continuation token.""" + tokens: dict[str, str] = {} + for thread in find_all(data, "commentThreadRenderer"): + cid = dig(thread, "commentViewModel", "commentViewModel", "commentId") + token = dig( + find_first(thread, "continuationItemRenderer"), + "continuationEndpoint", + "continuationCommand", + "token", + ) + if cid and token: + tokens[cid] = token + return tokens + + +def parse_comment_entity(cep: dict) -> dict[str, Any]: + """Map one ``commentEntityPayload`` to a partial CommentItem dict.""" + props = cep.get("properties") or {} + author = cep.get("author") or {} + toolbar = cep.get("toolbar") or {} + return { + "cid": props.get("commentId"), + "comment": dig(props, "content", "content"), + "author": author.get("displayName"), + "publishedTimeText": props.get("publishedTime"), + "voteCount": parse_count(toolbar.get("likeCountNotliked")), + "replyCount": parse_count(toolbar.get("replyCount")), + "authorIsChannelOwner": bool(author.get("isCreator")), + # A creator heart attaches the channel owner's avatar to the toolbar. + "hasCreatorHeart": bool(toolbar.get("creatorThumbnailUrl")), + "type": "comment" if (props.get("replyLevel") or 0) == 0 else "reply", + } + + +def parse_comment_entities(data: dict) -> list[dict[str, Any]]: + """All comment payloads in a /next response, in display order.""" + return [ + parse_comment_entity(cep) + for cep in find_all(data, "commentEntityPayload") + if isinstance(cep, dict) + ] + + +def parse_channel_sort_tokens(initial_data: dict) -> dict[str, str]: + """Map channel-videos sort labels ("Latest"/"Popular"/"Oldest") to tokens.""" + tokens: dict[str, str] = {} + for chip in find_all(initial_data, "chipViewModel"): + if not isinstance(chip, dict): + continue + label = chip.get("text") + token = dig( + chip, "tapCommand", "innertubeCommand", "continuationCommand", "token" + ) + if label and token: + tokens[label] = token + return tokens diff --git a/surfsense_backend/app/proprietary/platforms/youtube/schemas.py b/surfsense_backend/app/proprietary/platforms/youtube/schemas.py new file mode 100644 index 000000000..b5958addc --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/schemas.py @@ -0,0 +1,210 @@ +# ruff: noqa: N815 - field names intentionally mirror the Apify camelCase spec +"""Apify-compatible input/output models for the YouTube scraper. + +The models mirror the public Apify "YouTube Scraper" actor spec so the endpoint +can be a drop-in. The MVP populates a reliably-sourced subset; every other field +is accepted (input) or emitted as ``None``/``[]`` (output) so parity is additive. + +``VideoItem`` uses ``extra="allow"`` on purpose: the Apify spec explicitly says +"Other properties may be included", and it lets us grow the output shape without +breaking existing consumers. +""" + +from __future__ import annotations + +from typing import Any, Literal + +from pydantic import BaseModel, ConfigDict, Field + +SubtitlesFormat = Literal["srt", "vtt", "xml", "plaintext"] +SortingOrder = Literal["relevance", "rating", "date", "views"] +DateFilter = Literal["hour", "today", "week", "month", "year"] +VideoTypeFilter = Literal["video", "movie"] +LengthFilter = Literal["under4", "between420", "plus20"] +SortVideosBy = Literal["NEWEST", "POPULAR", "OLDEST"] +VideoContentType = Literal["video", "shorts", "stream"] +SortCommentsBy = Literal["TOP_COMMENTS", "NEWEST_FIRST"] +CommentType = Literal["comment", "reply"] + + +class StartUrl(BaseModel): + """A single direct URL entry (Apify passes ``{"url": ...}`` objects).""" + + model_config = ConfigDict(extra="allow") + + url: str + + +class YouTubeScrapeInput(BaseModel): + """Full Apify input surface. + + ``maxResults*`` semantics follow Apify: ``0`` means "fetch none of that type" + (see the ``startUrls`` note in the spec), NOT unlimited. A caller wanting an + unbounded run leaves the value high; the request-time guard lives in the + route, not here. + """ + + model_config = ConfigDict(extra="allow") + + # Discovery + searchQueries: list[str] = Field(default_factory=list) + startUrls: list[StartUrl] = Field(default_factory=list) + + # Per-type caps (independent, applied per search term and per channel) + maxResults: int = Field(default=0, ge=0, le=999999) + maxResultsShorts: int = Field(default=0, ge=0, le=999999) + maxResultStreams: int = Field(default=0, ge=0, le=999999) + + # Subtitles + downloadSubtitles: bool = False + subtitlesLanguage: str = "en" + subtitlesFormat: SubtitlesFormat = "srt" + saveSubsToKVS: bool = False + preferAutoGeneratedSubtitles: bool = False + + # Search filters + sortingOrder: SortingOrder | None = None + dateFilter: DateFilter | None = None + videoType: VideoTypeFilter | None = None + lengthFilter: LengthFilter | None = None + isHD: bool | None = None + hasSubtitles: bool | None = None + hasCC: bool | None = None + is3D: bool | None = None + isLive: bool | None = None + isBought: bool | None = None + is4K: bool | None = None + is360: bool | None = None + hasLocation: bool | None = None + isHDR: bool | None = None + isVR180: bool | None = None + + # Channel/date scoping + oldestPostDate: str | None = None + sortVideosBy: SortVideosBy | None = None + + +class DescriptionLink(BaseModel): + model_config = ConfigDict(extra="allow") + + url: str | None = None + text: str | None = None + + +class SubtitleTrack(BaseModel): + model_config = ConfigDict(extra="allow") + + srtUrl: str | None = None + type: str | None = None + language: str | None = None + srt: str | None = None + + +class Collaborator(BaseModel): + model_config = ConfigDict(extra="allow") + + name: str | None = None + username: str | None = None + url: str | None = None + + +class VideoItem(BaseModel): + """Apify output item. Unsourced fields default to ``None``/``[]``. + + ``extra="allow"`` keeps the contract open (Apify: "Other properties may be + included") so gradually-added fields never break existing consumers. + """ + + model_config = ConfigDict(extra="allow") + + # Core video + title: str | None = None + id: str | None = None + url: str | None = None + viewCount: int | None = None + date: str | None = None + duration: str | None = None + type: VideoContentType = "video" + thumbnailUrl: str | None = None + input: str | None = None + fromYTUrl: str | None = None + order: int | None = None + + # Engagement / content + likes: int | None = None + commentsCount: int | None = None + commentsTurnedOff: bool | None = None + text: str | None = None + descriptionLinks: list[DescriptionLink] | None = None + subtitles: list[SubtitleTrack] | None = None + hashtags: list[str] = Field(default_factory=list) + location: str | None = None + + # Translations + translatedTitle: str | None = None + translatedText: str | None = None + + # Video flags + isMonetized: bool | None = None + isMembersOnly: bool = False + isPaidContent: bool = False + isAgeRestricted: bool | None = None + collaborators: list[Collaborator] | None = None + + # Channel + channelName: str | None = None + channelUrl: str | None = None + channelUsername: str | None = None + channelId: str | None = None + numberOfSubscribers: int | None = None + channelTotalVideos: int | None = None + channelDescription: str | None = None + channelLocation: str | None = None + channelJoinedDate: str | None = None + channelTotalViews: int | None = None + isChannelVerified: bool | None = None + channelBannerUrl: str | None = None + channelAvatarUrl: str | None = None + + def to_output(self) -> dict[str, Any]: + """Serialize to the flat dict shape Apify emits (keeps extras).""" + return self.model_dump(exclude_none=False) + + +class YouTubeCommentsInput(BaseModel): + """Apify "YouTube Comments Scraper" input surface. + + ``maxComments`` counts every emitted item (top-level comments and replies). + Setting ``oldestCommentDate`` forces newest-first sort, matching Apify. + """ + + model_config = ConfigDict(extra="allow") + + startUrls: list[StartUrl] = Field(default_factory=list) + maxComments: int = Field(default=1, ge=1, le=999999) + sortCommentsBy: SortCommentsBy = "NEWEST_FIRST" + oldestCommentDate: str | None = None + + +class CommentItem(BaseModel): + """Apify comment output item (one per top-level comment or reply).""" + + model_config = ConfigDict(extra="allow") + + author: str | None = None + comment: str | None = None + cid: str | None = None + replyCount: int | None = None + replyToCid: str | None = None + voteCount: int | None = None + authorIsChannelOwner: bool | None = None + publishedTimeText: str | None = None + type: CommentType | None = None + hasCreatorHeart: bool | None = None + videoId: str | None = None + pageUrl: str | None = None + commentsCount: int | None = None + title: str | None = None + + def to_output(self) -> dict[str, Any]: + return self.model_dump(exclude_none=False) diff --git a/surfsense_backend/app/proprietary/platforms/youtube/scraper.py b/surfsense_backend/app/proprietary/platforms/youtube/scraper.py new file mode 100644 index 000000000..343c55149 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/scraper.py @@ -0,0 +1,569 @@ +"""Orchestrator for the YouTube scraper. + +The core is the async generator :func:`iter_youtube` (unbounded / continuation +paged); :func:`scrape_youtube` is a thin collector with a caller-supplied +``limit`` guard. Per-type counters (regular / shorts / streams) are applied +independently per search term and per channel, matching Apify semantics. Any cap +is caller policy, never baked into flow logic. +""" + +from __future__ import annotations + +import asyncio +import logging +from collections.abc import AsyncIterator +from typing import Any +from urllib.parse import quote + +from .innertube import ( + INNERTUBE_BROWSE_URL, + INNERTUBE_NEXT_URL, + INNERTUBE_PUBLIC_API_KEY, + INNERTUBE_SEARCH_URL, + bind_proxy_holder, + build_innertube_payload, + fetch_html, + open_proxy_holder, + post_innertube, +) +from .parsers import ( + channel_about_tokens, + extract_yt_initial_data, + find_first, + parse_channel_about, + parse_channel_metadata, + parse_channel_shorts, + parse_channel_sort_tokens, + parse_channel_videos, + parse_playlist_video_ids, + parse_search_response, + parse_translation, + parse_video_page, +) +from .schemas import VideoItem, YouTubeScrapeInput +from .search_filters import build_search_params +from .subtitles import fetch_subtitles +from .url_resolver import ResolvedUrl, resolve_url + +logger = logging.getLogger(__name__) + +_SORT_LABELS = {"NEWEST": "Latest", "POPULAR": "Popular", "OLDEST": "Oldest"} + +# Independent jobs (one per startUrl / search query / video) run concurrently on +# a pool of warm proxy sessions (sticky IPs). A ramp probe on the gateway ran 64 +# parallel flows with zero failures, so the proxy is not the ceiling; 16 workers +# saturate typical job counts while leaving gateway headroom for other callers. +_FANOUT_CONCURRENCY = 16 + + +async def fan_out( + jobs: list[AsyncIterator[dict[str, Any]]], *, concurrency: int = _FANOUT_CONCURRENCY +) -> AsyncIterator[dict[str, Any]]: + """Stream items from independent async-iterator jobs via a warm worker pool. + + Each worker opens ONE proxy session and reuses it across the sequential jobs + it pulls, so only the first job per worker pays the ~2s proxy TCP+TLS + handshake. A bad job yields nothing rather than aborting the batch; results + stream out as each job finishes. Workers are cancelled if the consumer stops + early (e.g. the collector hits its limit). + """ + if not jobs: + return + job_queue: asyncio.Queue[AsyncIterator[dict[str, Any]]] = asyncio.Queue() + for job in jobs: + job_queue.put_nowait(job) + results: asyncio.Queue[list[dict[str, Any]]] = asyncio.Queue() + + async def worker() -> None: + holder = None + try: + holder = await open_proxy_holder() + except Exception as e: # no session: jobs still run via one-shot fetches + logger.warning("[youtube] proxy session open failed: %s", e) + try: + while True: + try: + job = job_queue.get_nowait() + except asyncio.QueueEmpty: + return + items: list[dict[str, Any]] = [] + try: + if holder is not None: + async with bind_proxy_holder(holder): + items = [item async for item in job] + else: + items = [item async for item in job] + except Exception as e: # one bad video/URL must not kill the run + logger.warning("[youtube] fan-out job failed: %s", e) + await results.put(items) + finally: + if holder is not None: + await holder.close() + + tasks = [asyncio.create_task(worker()) for _ in range(min(concurrency, len(jobs)))] + try: + for _ in range(len(jobs)): + for item in await results.get(): + yield item + finally: + for task in tasks: + if not task.done(): + task.cancel() + # Await cancellation so each worker's finally closes its session before + # we return — no leaked keep-alive connections when the consumer stops + # early (e.g. the collector hit its limit). + await asyncio.gather(*tasks, return_exceptions=True) + + +async def _post(url: str, payload: dict[str, Any]) -> dict[str, Any] | None: + """POST to InnerTube, retrying with the public web key if keyless fails. + + ponytail: retries with the key only when the keyless call returns nothing; + could remember which one worked to avoid the extra request. + """ + data = await post_innertube(url, payload) + if data is None: + data = await post_innertube(url, payload, api_key=INNERTUBE_PUBLIC_API_KEY) + return data + + +async def _finalize( + partial: dict[str, Any], + *, + input_model: YouTubeScrapeInput, + source_input: str | None, + from_url: str | None, + order: int, + content_type: str, +) -> dict[str, Any]: + item = VideoItem(**partial) + item.type = content_type # type: ignore[assignment] + item.input = source_input + item.fromYTUrl = from_url + item.order = order + if input_model.downloadSubtitles and item.id: + item.subtitles = await fetch_subtitles( + item.id, + language=input_model.subtitlesLanguage, + fmt=input_model.subtitlesFormat, + prefer_generated=input_model.preferAutoGeneratedSubtitles, + ) + # translatedTitle/Text: one extra /next in the requested language. ponytail: + # gated on a non-English subtitlesLanguage so default runs pay nothing; costs + # one request per item when a translation language is set. + lang = input_model.subtitlesLanguage + if item.id and lang and lang != "en": + data = await _post( + INNERTUBE_NEXT_URL, build_innertube_payload(video_id=item.id, hl=lang) + ) + if data: + item.translatedTitle, item.translatedText = parse_translation(data) + return item.to_output() + + +async def _video_flow( + video_id: str, + *, + input_model: YouTubeScrapeInput, + source_input: str | None, + from_url: str | None, + order: int, + content_type: str, +) -> AsyncIterator[dict[str, Any]]: + url = f"https://www.youtube.com/watch?v={video_id}" + html = await fetch_html(url) + if not html: + return + # Watch-page HTML is 1-2MB and the embedded-JSON scan is pure Python; run + # it off-loop so one video parse can't stall other requests. + partial = await asyncio.to_thread(parse_video_page, html) + if not partial: + return + yield await _finalize( + partial, + input_model=input_model, + source_input=source_input, + from_url=from_url, + order=order, + content_type=content_type, + ) + + +async def _search_flow( + query: str, + *, + input_model: YouTubeScrapeInput, + source_input: str, +) -> AsyncIterator[dict[str, Any]]: + limit = input_model.maxResults + if limit <= 0: + return + from_url = f"https://www.youtube.com/results?search_query={quote(query)}" + params = build_search_params(input_model) + payload = build_innertube_payload(search_query=query, search_params=params) + data = await _post(INNERTUBE_SEARCH_URL, payload) + + order = 0 + while data: + items, token = parse_search_response(data) + for it in items: + if order >= limit: + return + yield await _finalize( + it, + input_model=input_model, + source_input=source_input, + from_url=from_url, + order=order, + content_type="video", + ) + order += 1 + if not token or order >= limit: + return + data = await _post( + INNERTUBE_SEARCH_URL, build_innertube_payload(continuation_token=token) + ) + + +def _channel_tab_url(handle: str, tab: str) -> str: + if handle.startswith("UC") and len(handle) > 10: + return f"https://www.youtube.com/channel/{handle}/{tab}" + return f"https://www.youtube.com/@{handle}/{tab}" + + +# tab path -> (content type, list parser). Streams share the video lockup shape. +_CHANNEL_TABS = { + "videos": ("video", parse_channel_videos), + "shorts": ("shorts", parse_channel_shorts), + "streams": ("stream", parse_channel_videos), +} + + +async def _fetch_channel_about(initial: dict) -> dict[str, Any]: + """One ``/browse`` call for the About panel (deep channel fields). + + Panels are unlabeled, so try each engagement token and keep the first that + returns an ``aboutChannelViewModel``. ponytail: worst case is one extra + no-op browse before the hit; a labeled-panel signal would remove it. + """ + for token in channel_about_tokens(initial): + data = await _post( + INNERTUBE_BROWSE_URL, build_innertube_payload(continuation_token=token) + ) + about = find_first(data, "aboutChannelViewModel") if data else None + if about: + return parse_channel_about(about) + return {} + + +def _published_date(text: str | None): + """Parse a relative/absolute time string to a ``date`` (best-effort). + + ponytail: channel list pages only expose coarse relative times ("2 years + ago"), so the ``oldestPostDate`` cutoff is day-accurate at best. + """ + if not text: + return None + import dateparser + + dt = dateparser.parse(text) + return dt.date() if dt else None + + +async def _channel_tab_flow( + handle: str, + tab: str, + *, + limit: int, + input_model: YouTubeScrapeInput, + source_input: str, + channel_meta: dict[str, Any], + initial: dict | None = None, + cutoff=None, +) -> AsyncIterator[dict[str, Any]]: + """Page one channel tab (videos/shorts/streams) up to ``limit`` items. + + Videos honor ``sortVideosBy`` via the sort chips (re-fetch sorted from the + start); shorts/streams page straight from the seed's first page + its + continuation, since those tabs don't expose the same sort chips. ``initial`` + may be prefetched (videos tab) to avoid re-downloading the seed. + """ + if limit <= 0: + return + content_type, parse_fn = _CHANNEL_TABS[tab] + from_url = _channel_tab_url(handle, tab) + if initial is None: + seed_html = await fetch_html(from_url) + if not seed_html: + return + initial = await asyncio.to_thread(extract_yt_initial_data, seed_html) + if not initial: + return + + # Videos: prefer a sort chip token (fetches page 1 sorted). Otherwise parse + # the seed's first page directly and follow its continuation. + items: list[dict[str, Any]] = [] + token: str | None = None + if tab == "videos": + tokens = parse_channel_sort_tokens(initial) + label = _SORT_LABELS.get(input_model.sortVideosBy or "NEWEST", "Latest") + token = tokens.get(label) or next(iter(tokens.values()), None) + if token is None: + items, token = parse_fn(initial) + + order = 0 + while order < limit: + for it in items: + if order >= limit: + return + # Newest-first ordering: once we pass the cutoff, the rest are older. + if cutoff is not None: + item_date = _published_date(it.get("publishedTimeText")) + if item_date is not None and item_date < cutoff: + return + it.setdefault("channelUsername", handle) + for key, value in channel_meta.items(): + it.setdefault(key, value) + yield await _finalize( + it, + input_model=input_model, + source_input=source_input, + from_url=from_url, + order=order, + content_type=content_type, + ) + order += 1 + if not token: + return + data = await _post( + INNERTUBE_BROWSE_URL, build_innertube_payload(continuation_token=token) + ) + if not data: + return + items, token = parse_fn(data) + if not items: + return + + +async def _channel_flow( + handle: str, + *, + input_model: YouTubeScrapeInput, + source_input: str, +) -> AsyncIterator[dict[str, Any]]: + """Scrape a channel's videos, shorts, and streams — each capped independently. + + The videos seed is fetched once and reused to derive channel-wide metadata + (identity, banner, and the About panel's deep fields) stamped on every item. + """ + videos_seed = await fetch_html(_channel_tab_url(handle, "videos")) + initial = ( + await asyncio.to_thread(extract_yt_initial_data, videos_seed) + if videos_seed + else None + ) + channel_meta: dict[str, Any] = {} + if initial: + channel_meta = parse_channel_metadata(initial) + channel_meta.update(await _fetch_channel_about(initial)) + + cutoff = _published_date(input_model.oldestPostDate) + + for tab, limit in ( + ("videos", input_model.maxResults), + ("shorts", input_model.maxResultsShorts), + ("streams", input_model.maxResultStreams), + ): + async for item in _channel_tab_flow( + handle, + tab, + limit=limit, + input_model=input_model, + source_input=source_input, + channel_meta=channel_meta, + initial=initial if tab == "videos" else None, + cutoff=cutoff, + ): + yield item + + +async def _playlist_flow( + playlist_id: str, + *, + input_model: YouTubeScrapeInput, + source_input: str, +) -> AsyncIterator[dict[str, Any]]: + limit = input_model.maxResults + if limit <= 0: + return + data = await _post( + INNERTUBE_BROWSE_URL, build_innertube_payload(browse_id=f"VL{playlist_id}") + ) + # Phase 1: page the playlist for video ids (cheap browse calls, sequential + # because each continuation depends on the last). + seen: set[str] = set() + ordered_ids: list[str] = [] + while data and len(ordered_ids) < limit: + ids, token = parse_playlist_video_ids(data) + # A short playlist emits a spurious continuation whose page is empty; + # stopping on "no new ids" ends both real exhaustion and that loop. + new_ids = [v for v in ids if v not in seen] + if not new_ids: + break + for vid in new_ids: + seen.add(vid) + ordered_ids.append(vid) + if len(ordered_ids) >= limit: + break + if not token: + break + data = await _post( + INNERTUBE_BROWSE_URL, build_innertube_payload(continuation_token=token) + ) + + # Phase 2: resolve the videos concurrently — the per-video watch-page fetch + # is the bottleneck, so fan them out (each carries its playlist position in + # ``order``; fan_out emits as they finish, not in playlist order). + # ponytail: nested fan_out — when many playlist URLs run at once this can + # stack pools (outer x inner) of proxy sessions. Fine for the common + # single/few-playlist case; cap inner concurrency if bulk-playlist runs trip it. + jobs = [ + _video_flow( + vid, + input_model=input_model, + source_input=source_input, + from_url=source_input, + order=i, + content_type="video", + ) + for i, vid in enumerate(ordered_ids) + ] + async for item in fan_out(jobs): + yield item + + +async def _hashtag_flow( + tag: str, + *, + input_model: YouTubeScrapeInput, + source_input: str, +) -> AsyncIterator[dict[str, Any]]: + """Scrape the dedicated hashtag feed (not a #tag search). + + The hashtag page embeds its feed as ``videoRenderer`` lockups (reused via + ``parse_search_response``). ponytail: YouTube exposes no continuation for the + hashtag feed through this path, so it is a single page (~20-35 videos); the + paging loop is kept for the day a token appears. Upgrade path for more depth: + fall back to the ``#tag`` search route. + """ + limit = input_model.maxResults + if limit <= 0: + return + url = f"https://www.youtube.com/hashtag/{quote(tag)}" + html = await fetch_html(url) + if not html: + return + data = await asyncio.to_thread(extract_yt_initial_data, html) + order = 0 + while data: + items, token = parse_search_response(data) + for it in items: + if order >= limit: + return + yield await _finalize( + it, + input_model=input_model, + source_input=source_input, + from_url=url, + order=order, + content_type="video", + ) + order += 1 + if not token or order >= limit: + return + data = await _post( + INNERTUBE_BROWSE_URL, build_innertube_payload(continuation_token=token) + ) + + +async def _dispatch( + resolved: ResolvedUrl, input_model: YouTubeScrapeInput +) -> AsyncIterator[dict[str, Any]]: + if resolved.kind == "video": + content_type = "shorts" if "/shorts/" in resolved.url else "video" + async for item in _video_flow( + resolved.value, + input_model=input_model, + source_input=resolved.url, + from_url=resolved.url, + order=0, + content_type=content_type, + ): + yield item + elif resolved.kind == "channel": + async for item in _channel_flow( + resolved.value, input_model=input_model, source_input=resolved.url + ): + yield item + elif resolved.kind == "playlist": + async for item in _playlist_flow( + resolved.value, input_model=input_model, source_input=resolved.url + ): + yield item + elif resolved.kind == "hashtag": + async for item in _hashtag_flow( + resolved.value, input_model=input_model, source_input=resolved.url + ): + yield item + elif resolved.kind == "search": + async for item in _search_flow( + resolved.value, input_model=input_model, source_input=resolved.url + ): + yield item + + +async def iter_youtube( + input_model: YouTubeScrapeInput, +) -> AsyncIterator[dict[str, Any]]: + """Yield Apify-shaped video items. startUrls override searchQueries. + + Independent startUrls / queries fan out concurrently; each flow's own + continuation paging stays sequential. + """ + if input_model.startUrls: + jobs = [] + for entry in input_model.startUrls: + resolved = resolve_url(entry.url) + if not resolved: + logger.warning("Unrecognized YouTube URL: %s", entry.url) + continue + jobs.append(_dispatch(resolved, input_model)) + async for item in fan_out(jobs): + yield item + return + + jobs = [ + _search_flow(query, input_model=input_model, source_input=query) + for query in input_model.searchQueries + ] + async for item in fan_out(jobs): + yield item + + +async def scrape_youtube( + input_model: YouTubeScrapeInput, *, limit: int | None = None +) -> list[dict[str, Any]]: + """Collect :func:`iter_youtube` into a list, honoring an optional ``limit``. + + ``limit`` is a request-time policy guard (used by the route), NOT a ceiling + in the streaming core. + """ + from app.capabilities.core.progress import emit_progress + + results: list[dict[str, Any]] = [] + async for item in iter_youtube(input_model): + results.append(item) + emit_progress("scraping", current=len(results), total=limit, unit="video") + if limit is not None and len(results) >= limit: + break + return results diff --git a/surfsense_backend/app/proprietary/platforms/youtube/search_filters.py b/surfsense_backend/app/proprietary/platforms/youtube/search_filters.py new file mode 100644 index 000000000..9739d11ce --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/search_filters.py @@ -0,0 +1,92 @@ +"""Encode Apify search filters into YouTube's ``sp=`` (InnerTube ``params``). + +YouTube encodes search filters as a base64 protobuf. The message is:: + + SearchParams { + 1: sortOrder (varint enum) + 2: Filters { + 1: uploadDate (varint enum) + 2: type (varint enum) + 3: duration (varint enum) + <feature fields>: bool (varint 1) + } + } + +Rather than a lookup table of single tokens, we build the protobuf directly so +arbitrary combinations (sort + date + type + length + any boolean features) +compose correctly. The field numbers/enums below are verified to reproduce +YouTube's own standalone tokens byte-for-byte (see the unit test). +""" + +from __future__ import annotations + +import base64 + +_SORT_ORDER = {"relevance": 0, "rating": 1, "date": 2, "views": 3} +_UPLOAD_DATE = {"hour": 1, "today": 2, "week": 3, "month": 4, "year": 5} +_TYPE = {"video": 1, "channel": 2, "playlist": 3, "movie": 4} +_DURATION = {"under4": 1, "plus20": 2, "between420": 3} + +# Apify boolean flag -> Filters feature field number. +_FEATURES = { + "isHD": 4, + "hasSubtitles": 5, + "hasCC": 6, + "is3D": 7, + "isLive": 8, + "isBought": 9, + "is4K": 14, + "is360": 15, + "hasLocation": 23, + "isHDR": 25, + "isVR180": 26, +} + + +def _varint(value: int) -> bytes: + out = bytearray() + while True: + byte = value & 0x7F + value >>= 7 + out.append(byte | (0x80 if value else 0)) + if not value: + return bytes(out) + + +def _tag_varint(field: int, value: int) -> bytes: + """A protobuf ``field: varint`` entry (wire type 0).""" + return _varint(field << 3) + _varint(value) + + +def _tag_message(field: int, data: bytes) -> bytes: + """A protobuf ``field: message`` entry (wire type 2, length-delimited).""" + return _varint((field << 3) | 2) + _varint(len(data)) + data + + +def build_search_params(input_model) -> str | None: + """Encode the input's filters into a base64 ``sp=`` token, or ``None``. + + All set filters compose into a single protobuf; ``None`` when nothing is set + (so the caller omits ``params`` entirely). + """ + filters = bytearray() + if input_model.dateFilter in _UPLOAD_DATE: + filters += _tag_varint(1, _UPLOAD_DATE[input_model.dateFilter]) + if input_model.videoType in _TYPE: + filters += _tag_varint(2, _TYPE[input_model.videoType]) + if input_model.lengthFilter in _DURATION: + filters += _tag_varint(3, _DURATION[input_model.lengthFilter]) + for flag, field in _FEATURES.items(): + if getattr(input_model, flag, None): + filters += _tag_varint(field, 1) + + message = bytearray() + sort = _SORT_ORDER.get(input_model.sortingOrder or "") + if sort: # relevance (0) is the default, so it needs no bytes + message += _tag_varint(1, sort) + if filters: + message += _tag_message(2, bytes(filters)) + + if not message: + return None + return base64.b64encode(bytes(message)).decode("ascii") diff --git a/surfsense_backend/app/proprietary/platforms/youtube/subtitles.py b/surfsense_backend/app/proprietary/platforms/youtube/subtitles.py new file mode 100644 index 000000000..c249d7d6c --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/subtitles.py @@ -0,0 +1,119 @@ +"""Subtitle download via ``youtube-transcript-api``, shaped to Apify ``subtitles[]``. + +Uses the library's built-in formatters (no hand-rolled srt/vtt conversion). The +transcript API has no XML formatter, so ``xml`` falls back to the raw snippet +data. +""" + +from __future__ import annotations + +import asyncio +import logging + +from fake_useragent import UserAgent +from requests import Session +from youtube_transcript_api import RequestBlocked, YouTubeTranscriptApi +from youtube_transcript_api.formatters import ( + SRTFormatter, + TextFormatter, + WebVTTFormatter, +) + +from app.utils.proxy import get_requests_proxies + +from .schemas import SubtitleTrack + +logger = logging.getLogger(__name__) + +_FORMATTERS = { + "srt": SRTFormatter, + "vtt": WebVTTFormatter, + "plaintext": TextFormatter, +} + +# Blocked-IP retries, mirroring innertube's rotate-on-block. Each retry builds a +# fresh Session (new TCP connection), which draws a new exit IP on a rotating +# proxy gateway. Without a proxy we don't retry - the egress IP can't change. +_MAX_ROTATIONS = 3 + + +def _build_client() -> YouTubeTranscriptApi: + http_client = Session() + http_client.headers.update({"User-Agent": UserAgent().random}) + proxies = get_requests_proxies() + if proxies: + http_client.proxies.update(proxies) + return YouTubeTranscriptApi(http_client=http_client) + + +def _select_transcript(transcript_list, language: str, prefer_generated: bool): + """Pick a transcript honoring language + generated/manual preference.""" + # ``any`` means take whatever the video offers first. + if language == "any": + return next(iter(transcript_list)) + + codes = [language] + if prefer_generated: + try: + return transcript_list.find_generated_transcript(codes) + except Exception: + return transcript_list.find_transcript(codes) + return transcript_list.find_transcript(codes) + + +def _fetch_subtitles_sync( + video_id: str, language: str, fmt: str, prefer_generated: bool +): + attempts = (_MAX_ROTATIONS + 1) if get_requests_proxies() else 1 + for attempt in range(attempts): + api = _build_client() + try: + transcript_list = api.list(video_id) + transcript = _select_transcript(transcript_list, language, prefer_generated) + fetched = transcript.fetch() + break + except RequestBlocked: # covers IpBlocked; rotate to a fresh exit IP + if attempt == attempts - 1: + raise + logger.info( + "Transcript request blocked for %s; retrying on a fresh proxy " + "connection (attempt %d/%d)", + video_id, + attempt + 2, + attempts, + ) + + if fmt == "xml": + # No XML formatter in the library; emit the raw snippet data as text. + body = str(fetched.to_raw_data()) + else: + formatter_cls = _FORMATTERS.get(fmt, SRTFormatter) + body = formatter_cls().format_transcript(fetched) + + return SubtitleTrack( + srtUrl=None, + type="auto_generated" if transcript.is_generated else "user_generated", + language=transcript.language_code, + srt=body, + ) + + +async def fetch_subtitles( + video_id: str, + *, + language: str = "en", + fmt: str = "srt", + prefer_generated: bool = False, +) -> list[SubtitleTrack] | None: + """Return the Apify ``subtitles[]`` list for a video, or ``None`` if none. + + Runs the blocking transcript API in a worker thread to stay async-friendly. + """ + try: + track = await asyncio.to_thread( + _fetch_subtitles_sync, video_id, language, fmt, prefer_generated + ) + return [track] + except Exception as e: + logger.info("No subtitles for video %s (%s): %s", video_id, language, e) + return None diff --git a/surfsense_backend/app/proprietary/platforms/youtube/url_resolver.py b/surfsense_backend/app/proprietary/platforms/youtube/url_resolver.py new file mode 100644 index 000000000..0e68425a9 --- /dev/null +++ b/surfsense_backend/app/proprietary/platforms/youtube/url_resolver.py @@ -0,0 +1,84 @@ +"""Classify a YouTube URL and extract its identifier. + +Covers the ``startUrls`` shapes the Apify spec accepts: video, channel, +playlist, hashtag, and search-results pages. +""" + +from __future__ import annotations + +import re +from dataclasses import dataclass +from typing import Literal +from urllib.parse import parse_qs, unquote, urlparse + +ResolvedKind = Literal["video", "channel", "playlist", "hashtag", "search"] + +_PLAYLIST_ID_RE = re.compile(r"[?&]list=([\w-]+)") + + +@dataclass(frozen=True) +class ResolvedUrl: + kind: ResolvedKind + value: str # video id, channel handle/id, playlist id, hashtag, or query + url: str + + +def get_youtube_video_id(url: str) -> str | None: + """Extract a video ID from watch/youtu.be/embed/shorts URL formats.""" + parsed = urlparse(url) + hostname = parsed.hostname or "" + if hostname == "youtu.be": + return parsed.path[1:] or None + if hostname in ("www.youtube.com", "youtube.com", "m.youtube.com"): + if parsed.path == "/watch": + return parse_qs(parsed.query).get("v", [None])[0] + for prefix in ("/embed/", "/v/", "/shorts/"): + if parsed.path.startswith(prefix): + return parsed.path[len(prefix) :].split("/")[0] or None + return None + + +def resolve_url(url: str) -> ResolvedUrl | None: + """Classify a YouTube URL into a scrape job, or ``None`` if unrecognized.""" + parsed = urlparse(url) + path = parsed.path or "" + + # Shorts are videos with their own path. + if "/shorts/" in path: + vid = path.split("/shorts/")[1].split("/")[0] + return ResolvedUrl("video", vid, url) if vid else None + + video_id = get_youtube_video_id(url) + if video_id: + return ResolvedUrl("video", video_id, url) + + # Playlist (either a /playlist page or any URL carrying ?list=). + playlist_match = _PLAYLIST_ID_RE.search(url) + if path.startswith("/playlist") and playlist_match: + return ResolvedUrl("playlist", playlist_match.group(1), url) + + # Search results page. + if path == "/results": + query = parse_qs(parsed.query).get("search_query", [None])[0] + if query: + return ResolvedUrl("search", unquote(query), url) + return None + + # Hashtag page (/hashtag/<tag>). + if path.startswith("/hashtag/"): + tag = path[len("/hashtag/") :].split("/")[0] + return ResolvedUrl("hashtag", unquote(tag), url) if tag else None + + # Channel: /@handle, /channel/UC..., /c/Name, /user/Name. + if path.startswith("/@"): + return ResolvedUrl("channel", path[2:].split("/")[0], url) + for prefix in ("/channel/", "/c/", "/user/"): + if path.startswith(prefix): + handle = path[len(prefix) :].split("/")[0] + return ResolvedUrl("channel", handle, url) if handle else None + + # A trailing ?list= without an explicit /playlist path. + if playlist_match: + return ResolvedUrl("playlist", playlist_match.group(1), url) + + return None diff --git a/surfsense_backend/app/proprietary/web_crawler/README.md b/surfsense_backend/app/proprietary/web_crawler/README.md new file mode 100644 index 000000000..2637cca53 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/README.md @@ -0,0 +1,125 @@ +# Web Crawler Engine + +Proprietary crawling engine (licensed separately from the Apache-2.0 project +root — see `app/proprietary/LICENSE`). Single framework (Scrapling) for +fetching, Trafilatura for HTML → markdown extraction. Callers import only from +`__init__.py`: `WebCrawlerConnector` / `crawl_url` for one page, `crawl_site` +for depth-bounded multi-page crawls, both returning the same outcome contract. + +## Module map + +| Module | Role | +|---|---| +| `connector.py` | Single-URL crawl: tiered fetch ladder, extraction, escalation heuristics | +| `site_crawler.py` | Multi-page crawl: Scrapling `CrawlerEngine` frontier over the connector | +| `url_policy.py` | Link record extraction and categorization (nav/social/contact/document) | +| `captcha.py` | Captcha detection, token harvesting, and injection page-actions | +| `stealth.py` | Stealth/anti-bot configuration for the StealthyFetcher tier | +| `testbench/` | Live-site regression bench (own README) | + +Contact extraction (`extract_contacts`) lives in `app/utils/crawl/contacts.py` +because non-proprietary callers use it too. + +## The fetch ladder + +Every crawl walks the same escalation ladder until one tier produces usable +content; callers see only the resulting `CrawlOutcome`, never the tier: + +1. **AsyncFetcher** — static HTTP, TLS-impersonated, cheap. Handles most pages. +2. **DynamicFetcher** — full browser (thread), for JS-rendered content. +3. **StealthyFetcher** — patchright Chromium with anti-bot + Cloudflare + solving and captcha handling, the expensive last resort. + +Success alone does not stop the ladder — two content-quality heuristics can +force escalation or re-extraction: + +### Thin-page (JS-shell) escalation + +A static fetch can "succeed" on an SPA that server-renders only a hero +paragraph and hydrates everything else client-side (a16z.com/team ships 4.2 MB +of HTML that extracts to 597 chars). A result is tagged `thin_static` and +escalated to the browser tier when **both** hold: + +- raw HTML ≥ 1 MB (`_JS_SHELL_MIN_HTML_BYTES`), and +- extracted content < 2.5 KB (`_JS_SHELL_MAX_CONTENT_CHARS`). + +Calibrated on live pages: true shells shipped ≥ 3.4 MB with < 0.05 % text; +every healthy page was under ~650 KB. Semi-shells (~150 KB, e.g. +ycombinator.com/people) intentionally stay on static — their server-rendered +link records still carry the roster. Upgrade path: hydration-marker sniffing +instead of size thresholds. + +### Lossy-extraction repair (currency-guarded) + +Trafilatura sometimes drops structured content (pricing cards, tables). We +can't detect every loss, but currency amounts are a cheap, high-precision +tripwire: if the raw HTML's visible text contains a currency amount +(`_CURRENCY_AMOUNT_RE`) and the extracted markdown doesn't, re-extract with +`favor_recall=True`; if the amount is still missing, fall back to a sanitized +`markdownify` of the whole `<body>`. + +## Link records and contacts + +`url_policy.extract_link_records` returns categorized links with anchor-text +provenance — these records, not the markdown, are the primary source for +roster/directory answers (names survive in link records even when extraction +drops them). `extract_contacts` harvests emails, phones, and social profiles +country-agnostically (global social-host list, `unquote()` applied to +percent-encoded `mailto:`/`tel:` hrefs — both here and in `url_policy`). + +## Multi-page crawls + +`crawl_site` uses Scrapling's spider engine for the traversal only (frontier, +dedupe, same-site scope, `includeUrlPatterns`/`excludeUrlPatterns` regex +filtering); every fetch still goes through `crawl_url`, so the ladder, proxy +rotation, and captcha handling are reused unchanged. Each `CrawlPage` carries +provenance (depth, referrer). + +## Agent tooling layer (outside this package) + +- The `web_crawler` subagent exposes the `web.crawl` capability (single URL at + `maxCrawlDepth=0`, or site mode at higher depth); the main chat agent reaches + it by delegating via `task(web_crawler, …)`. +- Tool outputs over the 40k-char cap (`RUN_OUTPUT_CHAR_CAP` in + `app/capabilities/core/runs.py`) are stored as JSONL runs; agents page them + with `read_run` (line paging + `char_offset` for giant single items), grep + them with `search_run` (returns excerpts around matches), and export them + deterministically with `export_run` (JSONL → CSV → workspace document, with + filtering and dedupe). Prompts live in + `app/agents/chat/multi_agent_chat/subagents/`. + +## Session learnings (agent E2E hardening, Jul 2026) + +Natural-language tasks run end-to-end through the multi-agent chat surfaced +these; each fix has a matching unit test: + +1. **Search discovers — the crawler reads.** The agent initially summarized + from SERP snippets instead of crawling the pages it found. Routing guidance + (`main_agent/system_prompt/prompts/routing.md`) now tells it to crawl every + URL whose full content would improve the answer, executing bounded fan-out + without asking permission. +2. **Success alone is not enough** — content-quality tripwires (thin-page, + currency-loss) must gate the ladder, because a "successful" fetch can carry + an empty shell or a lossy extraction. Tests: + `tests/unit/proprietary/web_crawler/test_connector.py`. +3. **Full datasets become files, not chat.** LLMs are bad data pipes: + transcribing a 486-row roster through the model loses rows and burns + tokens. `export_run` converts the stored run to CSV in code and saves it to + the workspace KB. Tests: `tests/unit/capabilities/test_run_truncation.py`. +4. **Truncation needs an escape hatch the model will actually use.** Large + items defeated line-based paging until `read_run` grew `char_offset` and + `search_run` grew match excerpts; subagent prompts explicitly list the + readers and forbid re-running tools to "see more". +5. **Shared budgets starve precise queries.** In the Reddit scraper, one noisy + search consumed the whole `maxItems` cap before precise phrasings returned; + the fix fair-shares the budget across concurrent searches and de-dupes + across them (`tests/unit/platforms/reddit/test_search_budget.py`). The same + failure shape applies to any multi-query fan-out with a shared collector cap. +6. **Subagents must not hand back work they can do.** The universal output + contract (`subagents/shared/snippets/output_contract_base.md`) now requires: + if `next_step` is a call to one of the subagent's own tools (paging a run, + re-running with better parameters), execute it instead of returning + `partial`. +7. **Sizing caps to the ask.** When a task requests N items, tool caps + (`max_items`, findings limits in output contracts) must be set above N or + the task is unwinnable by construction; prompts now say so. diff --git a/surfsense_backend/app/proprietary/web_crawler/__init__.py b/surfsense_backend/app/proprietary/web_crawler/__init__.py new file mode 100644 index 000000000..9fc22f8fd --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/__init__.py @@ -0,0 +1,20 @@ +"""Proprietary web crawler engine (non-Apache-2; see ``app/proprietary/LICENSE``). + +Public API for the single-framework (Scrapling) undetectable crawler. Callers +depend only on these symbols, never on internal tier/strategy details. +""" + +from app.proprietary.web_crawler.connector import ( + CrawlOutcome, + CrawlOutcomeStatus, + WebCrawlerConnector, +) +from app.proprietary.web_crawler.site_crawler import CrawlPage, crawl_site + +__all__ = [ + "CrawlOutcome", + "CrawlOutcomeStatus", + "CrawlPage", + "WebCrawlerConnector", + "crawl_site", +] diff --git a/surfsense_backend/app/proprietary/web_crawler/captcha.py b/surfsense_backend/app/proprietary/web_crawler/captcha.py new file mode 100644 index 000000000..151eac4ce --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/captcha.py @@ -0,0 +1,329 @@ +# SurfSense proprietary crawler engine. +# +# This module is part of the ``app.proprietary`` package and is licensed +# SEPARATELY from the Apache-2.0 project root. See ``app/proprietary/LICENSE``. +# Do not relicense or redistribute this file under Apache-2.0. +"""Captcha detection + token-injection ``page_action`` (Phase 3d). + +This is the **bypass logic** (hence proprietary); the generic, vendor-agnostic +config lives in the Apache-2.0 ``app/utils/captcha/`` package. ``captchatools`` +is the multi-vendor solver registry — we only detect the challenge, harvest a +token egressing from **the crawl's own proxy IP** (token IP-binding), inject it, +and submit. + +Why a closure cell: Scrapling runs ``page_action`` after navigation but +**swallows its exceptions and discards its return value** (see +``references/Scrapling`` engine ``_stealth.py``). So the only way to surface +"did we solve / how many attempts" back to the crawler (for per-attempt billing +and the retry cap) is to mutate a caller-owned ``state`` dict. + +Why a process latch: the solver README warns that hammering it while out of +balance can get the IP **temporarily banned**, so ``ErrNoBalance`` / +``ErrWrongAPIKey`` latch solving OFF for the rest of the process (config/balance +won't change without a restart). ``reset_solver_latch()`` clears it for tests. +""" + +import contextlib +import logging +import re +from collections.abc import Callable +from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeout +from typing import Any +from urllib.parse import urlsplit + +from app.utils.captcha import CaptchaConfig + +logger = logging.getLogger(__name__) + +_CAPTCHA_LOG = "[webcrawler][captcha]" + +# Process-wide kill switch tripped on unrecoverable solver errors (no balance / +# bad key). Module-level by design: it must persist across the per-URL +# ``page_action`` instances created during one crawl run. +_solver_latched = False + + +def reset_solver_latch() -> None: + """Clear the process solver latch (test seam / explicit re-enable).""" + global _solver_latched + _solver_latched = False + + +def solver_latched() -> bool: + return _solver_latched + + +def _latch_solver(reason: str) -> None: + global _solver_latched + _solver_latched = True + logger.warning("%s solver latched OFF for this process: %s", _CAPTCHA_LOG, reason) + + +# --- detection ------------------------------------------------------------- + +# (challenge_type, css_selector_for_widget). Order = detection priority. +_WIDGET_SELECTORS = ( + ("v2", ".g-recaptcha[data-sitekey]"), + ("hcaptcha", ".h-captcha[data-sitekey]"), +) +_IFRAME_PATTERNS = ( + ("v2", re.compile(r"google\.com/recaptcha", re.I)), + ("hcaptcha", re.compile(r"hcaptcha\.com", re.I)), +) +_SITEKEY_IN_SRC = re.compile(r"[?&]k=([\w-]+)") +_RENDER_SITEKEY = re.compile(r"render=([\w-]+)") + + +def detect_challenge(page: Any, cfg: CaptchaConfig) -> tuple[str, str] | None: + """Return ``(challenge_type, sitekey)`` if a solvable challenge is present. + + ``challenge_type`` is one of ``v2`` / ``v3`` / ``hcaptcha``. Returns + ``None`` when nothing solvable is found (the crawler then proceeds to + ``wait_selector`` / extraction unchanged). Detection is defensive: any DOM + access raising is treated as "not found" rather than aborting the fetch. + """ + try: + for ctype, selector in _WIDGET_SELECTORS: + el = page.query_selector(selector) + if el is not None: + sitekey = el.get_attribute("data-sitekey") + if sitekey: + return ctype, sitekey + + # Iframe fallback: widget rendered inside an iframe whose src carries + # the sitekey as ``?k=...``. + for frame_el in page.query_selector_all("iframe[src]") or []: + src = frame_el.get_attribute("src") or "" + for ctype, pat in _IFRAME_PATTERNS: + if pat.search(src): + m = _SITEKEY_IN_SRC.search(src) + if m: + return ctype, m.group(1) + + # reCAPTCHA v3: no widget; sitekey rides the api.js ``?render=<key>``. + if cfg.captcha_type_default == "v3": + for script_el in page.query_selector_all("script[src]") or []: + src = script_el.get_attribute("src") or "" + if "recaptcha" in src.lower(): + m = _RENDER_SITEKEY.search(src) + if m and m.group(1) != "explicit": + return "v3", m.group(1) + except Exception as exc: + logger.debug( + "%s detection error (treated as no challenge): %s", _CAPTCHA_LOG, exc + ) + return None + + +# --- proxy / harvest ------------------------------------------------------- + + +def proxy_url_to_captchatools(proxy_url: str | None) -> str | None: + """Reformat ``http://user:pass@host:port`` -> ``host:port:user:pass``. + + captchatools wants the colon-delimited form. Returns ``None`` for a missing + or unparseable proxy so the solver harvests proxyless (the token may then be + IP-mismatched, but that's better than crashing the fetch). + """ + if not proxy_url: + return None + try: + p = urlsplit(proxy_url) + if not p.hostname or not p.port: + return None + if p.username and p.password: + return f"{p.hostname}:{p.port}:{p.username}:{p.password}" + return f"{p.hostname}:{p.port}" + except Exception: + return None + + +def _harvest_token( + cfg: CaptchaConfig, + challenge_type: str, + sitekey: str, + page_url: str, + proxy: str | None, + user_agent: str | None, +) -> str | None: + """Harvest a token from the solver. Raises on solver errors so the caller + can latch on the unrecoverable ones; returns ``None`` on an empty token. + """ + import captchatools + + harvester = captchatools.new_harvester( + api_key=cfg.api_key, + solving_site=cfg.solving_site, + sitekey=sitekey, + captcha_url=page_url, + captcha_type=challenge_type, + min_score=cfg.v3_min_score, + action=cfg.v3_action, + ) + token = harvester.get_token( + proxy=proxy, + proxy_type="HTTP", + user_agent=user_agent, + ) + return token or None + + +# --- injection ------------------------------------------------------------- + +# Sets the response token into the right textarea(s) and fires the JS callbacks +# registered by the widget, then submits the closest form. Best-effort: returns +# nothing; success is judged by the crawler's post-fetch extraction. +_INJECT_JS = r""" +(args) => { + const { token, ctype } = args; + const names = ctype === 'hcaptcha' + ? ['h-captcha-response', 'g-recaptcha-response'] + : ['g-recaptcha-response']; + for (const name of names) { + let ta = document.querySelector('textarea[name="' + name + '"]') + || document.getElementById(name); + if (!ta) { + ta = document.createElement('textarea'); + ta.name = name; ta.id = name; + ta.style.display = 'none'; + document.body.appendChild(ta); + } + ta.value = token; ta.innerHTML = token; + ta.dispatchEvent(new Event('input', { bubbles: true })); + ta.dispatchEvent(new Event('change', { bubbles: true })); + } + // Fire grecaptcha client callbacks when present (v2 invisible / explicit). + try { + const cfg = window.___grecaptcha_cfg; + if (cfg && cfg.clients) { + for (const id in cfg.clients) { + const client = cfg.clients[id]; + for (const k in client) { + const o = client[k]; + if (o && typeof o === 'object') { + for (const kk in o) { + const cb = o[kk]; + if (cb && cb.callback && typeof cb.callback === 'function') { + try { cb.callback(token); } catch (e) {} + } + } + } + } + } + } + } catch (e) {} + // Submit the form containing the response field, if any. + const field = document.querySelector('textarea[name="g-recaptcha-response"], textarea[name="h-captcha-response"]'); + const form = field ? field.closest('form') : document.querySelector('form'); + if (form) { try { form.requestSubmit ? form.requestSubmit() : form.submit(); } catch (e) {} } +} +""" + + +def _inject_and_submit(page: Any, challenge_type: str, token: str) -> None: + try: + page.evaluate(_INJECT_JS, {"token": token, "ctype": challenge_type}) + with contextlib.suppress(Exception): + page.wait_for_load_state("networkidle", timeout=15000) + except Exception as exc: + logger.warning("%s injection error: %s", _CAPTCHA_LOG, exc) + + +# --- factory --------------------------------------------------------------- + + +def build_captcha_page_action( + state: dict[str, Any], + proxy_url: str | None, + cfg: CaptchaConfig, +) -> Callable[[Any], Any] | None: + """Build the sync ``page_action`` for ``StealthyFetcher.fetch``. + + ``state`` is mutated in place: ``attempts`` (int) and ``solved`` (bool). The + crawler reads it back after the fetch to bill per attempt and enforce the + per-URL cap. Returns ``None`` when solving is disabled/latched so the caller + can skip wiring it entirely (keeping the stealth tier unchanged). + """ + if not cfg.enabled or solver_latched(): + return None + + captcha_proxy = proxy_url_to_captchatools(proxy_url) + + def page_action(page: Any) -> Any: + # Hard cap: never exceed the per-URL budget even across proxy-retry + # re-runs that share this ``state``. + if state.get("attempts", 0) >= cfg.max_attempts_per_url: + return page + if solver_latched(): + return page + + detected = detect_challenge(page, cfg) + if detected is None: + return page # nothing to solve; let extraction proceed + challenge_type, sitekey = detected + + page_url = getattr(page, "url", "") or "" + try: + user_agent = page.evaluate("() => navigator.userAgent") + except Exception: + user_agent = None + + # This counts as an attempt the moment we call the (paid) solver. + state["attempts"] = state.get("attempts", 0) + 1 + logger.info( + "%s solving type=%s site=%s attempt=%d", + _CAPTCHA_LOG, + challenge_type, + sitekey[:12], + state["attempts"], + ) + + # Run the (blocking) solver in a worker so the timeout can actually + # ABANDON a slow solve. NOTE: do NOT use ``with ThreadPoolExecutor`` — + # its ``__exit__`` joins the worker (``wait=True``), which would block + # for the full solve and defeat the timeout. Shut down non-blocking. + executor = ThreadPoolExecutor(max_workers=1) + future = executor.submit( + _harvest_token, + cfg, + challenge_type, + sitekey, + page_url, + captcha_proxy, + user_agent, + ) + try: + token = future.result(timeout=cfg.timeout_s) + except FuturesTimeout: + logger.warning("%s solve timed out after %ss", _CAPTCHA_LOG, cfg.timeout_s) + return page + except Exception as exc: + if _is_unrecoverable(exc): + _latch_solver(repr(exc)) + else: + logger.warning("%s solve error: %s", _CAPTCHA_LOG, exc) + return page + finally: + executor.shutdown(wait=False, cancel_futures=True) + + if not token: + return page + + _inject_and_submit(page, challenge_type, token) + state["solved"] = True + logger.info( + "%s solved type=%s site=%s", _CAPTCHA_LOG, challenge_type, sitekey[:12] + ) + return page + + return page_action + + +def _is_unrecoverable(exc: Exception) -> bool: + """True for solver errors that must latch solving off (no balance / bad key). + + Matched by class name to avoid a hard import of ``captchatools.exceptions`` + at module load (the dep is optional / lazily imported). + """ + name = type(exc).__name__.lower() + return "nobalance" in name or "wrongapikey" in name or "apikey" in name diff --git a/surfsense_backend/app/proprietary/web_crawler/connector.py b/surfsense_backend/app/proprietary/web_crawler/connector.py new file mode 100644 index 000000000..76118b118 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/connector.py @@ -0,0 +1,871 @@ +# SurfSense proprietary crawler engine. +# +# This module is part of the ``app.proprietary`` package and is licensed +# SEPARATELY from the Apache-2.0 project root. See ``app/proprietary/LICENSE``. +# Do not relicense or redistribute this file under Apache-2.0. +""" +WebCrawler Connector Module + +A single-framework (Scrapling) web crawler with Trafilatura for HTML -> markdown +extraction. Provides a unified interface for web scraping. + +Fallback ladder (the ``FetchStrategy`` seam — see ``plans/backend/03a-crawler-core.md``): + 1. Scrapling AsyncFetcher (fast static HTTP, TLS-impersonated, no subprocess) + 2. Scrapling DynamicFetcher (full browser, run in a thread) + 3. Scrapling StealthyFetcher (patchright-Chromium anti-bot + Cloudflare solving, + run in a thread) + +Every tier returns extracted content via the same ``CrawlOutcome`` contract, so +callers (indexer, chat tool, crawl billing) depend only on the outcome, never on +which tier produced it. +""" + +import asyncio +import logging +import re +import time +from collections.abc import Awaitable, Callable +from dataclasses import dataclass +from enum import StrEnum +from typing import Any + +import trafilatura +import validators +from lxml import html as lxml_html +from markdownify import markdownify +from scrapling.engines.toolbelt import is_proxy_error +from scrapling.fetchers import AsyncFetcher, DynamicFetcher, StealthyFetcher + +from app.proprietary.web_crawler.captcha import build_captcha_page_action +from app.proprietary.web_crawler.stealth import ( + build_stealthy_kwargs, + get_stealth_config, +) +from app.proprietary.web_crawler.url_policy import extract_link_records +from app.utils.captcha import captcha_enabled, get_captcha_config +from app.utils.crawl import BlockType, classify_block, extract_contacts +from app.utils.proxy import get_proxy_url, is_pool_backed + +logger = logging.getLogger(__name__) + +# Prefix for performance/timing log lines so they are easy to grep/filter. +_PERF = "[webcrawler][perf]" + +# Thin-page (JS-shell) escalation: a static fetch can "succeed" on an SPA that +# server-renders only a hero paragraph and hydrates the real content client-side +# (a16z.com/team: 4.2MB of HTML -> 597 chars extracted), so success alone must +# not stop the ladder. Calibrated on live pages (probe_thin_calibration): true +# shells shipped >=3.4MB with <0.05% text, while every healthy page was under +# ~650KB — so require BOTH a huge document and near-empty extraction. +# ponytail: ~150KB semi-shells (ycombinator.com/people) stay on static; their +# server-rendered link records still carry the content. Upgrade path: DOM +# hydration-marker sniffing instead of size thresholds. +_JS_SHELL_MIN_HTML_BYTES = 1_000_000 +_JS_SHELL_MAX_CONTENT_CHARS = 2_500 + + +def looks_like_js_shell(html_len: int, content_len: int) -> bool: + """True when a static fetch smells like an unhydrated SPA shell.""" + return ( + html_len >= _JS_SHELL_MIN_HTML_BYTES + and content_len < _JS_SHELL_MAX_CONTENT_CHARS + ) + + +# Lossy-extraction repair: trafilatura's main-content detection drops div-grid +# pricing cards / stat tables as "boilerplate" (seen live: duplicati.com/pricing +# kept 15% of visible text, goauthentik.io/pricing 0 of 5 currency figures while +# every price sat in the static DOM). Currency amounts are the one token class +# that is (a) trivially detectable, (b) never navigation chrome, and (c) the +# payload of exactly the pages agents ask for (pricing/plans). So: if the raw +# DOM shows a currency amount that the markdown lost, re-extract with +# favor_recall; if still lost, fall back to sanitized markdownify of the whole +# body (bounded — callers truncate via maxLength anyway). +# Covers $ € £ ¥ ₹ ₩ ₪ ₫ ₴ ₦ ₱ ฿ plus ISO codes like "USD 49"/"49 EUR" so the +# trigger is country-agnostic, and amounts-before-symbol ("49€", French/German). +_CURRENCY_AMOUNT_RE = re.compile( + r"[$€£¥₹₩₪₫₴₦₱฿]\s?\d" + r"|\d\s?[$€£¥₹₩₪₫₴₦₱฿]" + r"|\b(USD|EUR|GBP|JPY|CNY|INR|BRL|MXN|CAD|AUD|CHF|KRW|SEK|NOK|DKK|PLN)\s?\d" + r"|\d\s?(USD|EUR|GBP|JPY|CNY|INR|BRL|MXN|CAD|AUD|CHF|KRW|SEK|NOK|DKK|PLN)\b", + re.IGNORECASE, +) + +_STRIP_XPATH = ( + "//script | //style | //noscript | //template | //svg | //iframe | //head" +) + + +def _visible_text(raw_html: str) -> str: + """Text of the DOM minus script/style — what a reader actually sees.""" + root = lxml_html.fromstring(raw_html) + for bad in root.xpath(_STRIP_XPATH): + bad.getparent().remove(bad) + return " ".join(" ".join(root.itertext()).split()) + + +def dropped_currency_amounts(raw_html: str, markdown: str) -> bool: + """True when the visible DOM has currency figures but the markdown has none.""" + if _CURRENCY_AMOUNT_RE.search(markdown): + return False + try: + return bool(_CURRENCY_AMOUNT_RE.search(_visible_text(raw_html))) + except Exception: + return False + + +def markdown_of_whole_body(raw_html: str) -> str | None: + """Sanitized markdownify of the full DOM — recall 100%, precision be damned. + + Last resort when main-content extraction provably dropped the payload: + nav/footer noise is acceptable, silently missing prices is not. + """ + try: + root = lxml_html.fromstring(raw_html) + for bad in root.xpath(_STRIP_XPATH): + bad.getparent().remove(bad) + md = markdownify(lxml_html.tostring(root, encoding="unicode")) + md = re.sub(r"\n{3,}", "\n\n", md).strip() + return md or None + except Exception: + return None + + +# Auto-scroll bounds for the browser tiers. JS directories/feeds lazy-load on +# scroll, so the initial render misses most items (e.g. YC's batch directory +# shows 40 of 100+ companies). The round cap keeps endless feeds (social +# timelines) from holding a billable fetch hostage; static-height pages exit +# after one no-growth check, costing a single settle wait. +_SCROLL_MAX_ROUNDS = 8 +_SCROLL_SETTLE_MS = 700 + + +def scroll_to_bottom(page: Any) -> Any: + """``page_action`` that scrolls until the document height stops growing. + + ponytail: jumps straight to the bottom each round, which is enough for + sentinel-based infinite scroll (Algolia et al.); lazy loaders keyed to + intersection of mid-page elements would need viewport-sized steps. Errors + mid-scroll keep whatever is already rendered instead of failing the fetch. + """ + try: + last_height = 0 + for _ in range(_SCROLL_MAX_ROUNDS): + height = page.evaluate("document.body.scrollHeight") + if not height or height <= last_height: + break + last_height = height + page.evaluate("window.scrollTo(0, document.body.scrollHeight)") + page.wait_for_timeout(_SCROLL_SETTLE_MS) + except Exception as exc: + logger.debug("[webcrawler] auto-scroll aborted: %s", exc) + return page + + +class CrawlOutcomeStatus(StrEnum): + """Deterministic per-URL crawl result, single-sourcing the billable signal.""" + + SUCCESS = "success" # a tier returned usable extracted content + EMPTY = "empty" # fetched, but no usable content after ALL tiers + FAILED = "failed" # invalid URL or every tier errored / was unavailable + + +@dataclass +class CrawlOutcome: + """Explicit ``crawl_url`` result shared by every caller. + + The **billable success predicate is single-sourced**: + ``status == CrawlOutcomeStatus.SUCCESS`` (Phase 3c meters on it). Picking a + dataclass over a tuple lets later subplans append fields without breaking + callers (03e's block classifier can attach a ``block_type``). + + Phase 3d captcha fields are surfaced here so per-attempt billing can read + them off the outcome regardless of crawl SUCCESS (the solver charges per + *attempt*). They are populated only by the StealthyFetcher tier when captcha + solving is enabled; every other path leaves the defaults (0 / False). + + Phase 3e ``block_type`` is purely *additive* telemetry: the block classifier + labels the last fetched page (Cloudflare / captcha / DataDome / rate-limited + / ...) for tuning + future escalation routing. It does NOT influence the + billable ``SUCCESS`` predicate above. + """ + + status: CrawlOutcomeStatus + result: dict[str, Any] | None = None + error: str | None = None + tier: str | None = None + captcha_attempts: int = 0 + captcha_solved: bool = False + block_type: BlockType = BlockType.UNKNOWN + + +class WebCrawlerConnector: + """Class for crawling web pages and extracting content.""" + + async def crawl_url(self, url: str) -> CrawlOutcome: + """ + Crawl a single URL and extract its content. + + Fallback ladder: + 1. Scrapling AsyncFetcher (fast static HTTP, TLS-impersonated) + 2. Scrapling DynamicFetcher (full browser, run in a thread) + 3. Scrapling StealthyFetcher (anti-bot stealth browser + Cloudflare + solving, run in a thread) + + Args: + url: URL to crawl + + Returns: + A ``CrawlOutcome``. On ``SUCCESS``, ``result`` is a dict containing: + - content: Extracted content (markdown) + - metadata: Page metadata (title, description, etc.) + - crawler_type: Identifier of the tier that produced the content + """ + total_start = time.perf_counter() + # Per-call captcha telemetry (03d). Mutated only by the StealthyFetcher + # tier's page_action; stamped onto the returned outcome so per-attempt + # billing can read it regardless of crawl SUCCESS. Per-call (not on + # ``self``) => safe under concurrent ``crawl_url`` calls. + captcha_state: dict[str, Any] = {"attempts": 0, "solved": False} + # Per-call block-classifier telemetry (03e). ``_build_result`` (the one + # place with raw_html + status) classifies each fetched page into here; + # crawl_url stamps it onto every outcome. Additive only — never gates + # SUCCESS. Per-call (not on ``self``) => concurrency-safe. + block_state: dict[str, Any] = {"block_type": BlockType.UNKNOWN} + try: + if not validators.url(url): + return CrawlOutcome( + status=CrawlOutcomeStatus.FAILED, + error=f"Invalid URL: {url}", + block_type=block_state["block_type"], + ) + + errors: list[str] = [] + # True once any tier fetched the page but extraction yielded nothing + # (distinguishes EMPTY from FAILED, where every tier raised/was + # unavailable). + reached_without_content = False + # Static result tagged as a JS shell: escalate to the browser tiers + # for the hydrated page, but keep it as a last-resort fallback. + thin_static_result: dict[str, Any] | None = None + + # --- 1. Scrapling AsyncFetcher (fast static HTTP) --- + tier_start = time.perf_counter() + try: + logger.info(f"[webcrawler] Using Scrapling AsyncFetcher for: {url}") + result = await self._run_tier_with_proxy_retry( + "scrapling-static", + lambda: self._crawl_with_async_fetcher(url, block_state), + ) + if result and result.pop("thin_static", False): + thin_static_result = result + errors.append( + "Scrapling static: JS-shell page (huge HTML, near-empty " + "extraction); escalating to browser" + ) + self._log_tier_outcome( + "scrapling-static", url, tier_start, "thin_shell" + ) + elif result: + self._log_tier_outcome( + "scrapling-static", url, tier_start, "success" + ) + self._log_total(url, "scrapling-static", total_start) + return CrawlOutcome( + status=CrawlOutcomeStatus.SUCCESS, + result=result, + tier="scrapling-static", + block_type=block_state["block_type"], + ) + else: + reached_without_content = True + errors.append("Scrapling static: empty extraction") + self._log_tier_outcome("scrapling-static", url, tier_start, "empty") + except Exception as exc: + errors.append(f"Scrapling static: {exc!s}") + self._log_tier_outcome( + "scrapling-static", url, tier_start, "error", exc + ) + + # --- 2. Scrapling DynamicFetcher (full browser) --- + tier_start = time.perf_counter() + try: + logger.info(f"[webcrawler] Using Scrapling DynamicFetcher for: {url}") + result = await self._run_tier_with_proxy_retry( + "scrapling-dynamic", + lambda: self._crawl_with_dynamic(url, block_state), + ) + if result: + self._log_tier_outcome( + "scrapling-dynamic", url, tier_start, "success" + ) + self._log_total(url, "scrapling-dynamic", total_start) + return CrawlOutcome( + status=CrawlOutcomeStatus.SUCCESS, + result=result, + tier="scrapling-dynamic", + block_type=block_state["block_type"], + ) + reached_without_content = True + errors.append("Scrapling dynamic: empty extraction") + self._log_tier_outcome("scrapling-dynamic", url, tier_start, "empty") + except NotImplementedError: + errors.append( + "Scrapling dynamic: event loop does not support subprocesses " + "(common on Windows with uvicorn --reload)" + ) + self._log_tier_outcome( + "scrapling-dynamic", url, tier_start, "unavailable" + ) + except Exception as exc: + errors.append(f"Scrapling dynamic: {exc!s}") + self._log_tier_outcome( + "scrapling-dynamic", url, tier_start, "error", exc + ) + + # --- 3. Scrapling StealthyFetcher (anti-bot, last resort) --- + tier_start = time.perf_counter() + try: + logger.info(f"[webcrawler] Using Scrapling StealthyFetcher for: {url}") + result = await self._run_tier_with_proxy_retry( + "scrapling-stealthy", + lambda: self._crawl_with_stealthy(url, captcha_state, block_state), + ) + if result: + self._log_tier_outcome( + "scrapling-stealthy", url, tier_start, "success" + ) + self._log_total(url, "scrapling-stealthy", total_start) + return CrawlOutcome( + status=CrawlOutcomeStatus.SUCCESS, + result=result, + tier="scrapling-stealthy", + captcha_attempts=captcha_state["attempts"], + captcha_solved=captcha_state["solved"], + block_type=block_state["block_type"], + ) + reached_without_content = True + errors.append("Scrapling stealthy: empty extraction") + self._log_tier_outcome("scrapling-stealthy", url, tier_start, "empty") + except NotImplementedError: + errors.append( + "Scrapling stealthy: event loop does not support subprocesses " + "(common on Windows with uvicorn --reload)" + ) + self._log_tier_outcome( + "scrapling-stealthy", url, tier_start, "unavailable" + ) + except Exception as exc: + errors.append(f"Scrapling stealthy: {exc!s}") + self._log_tier_outcome( + "scrapling-stealthy", url, tier_start, "error", exc + ) + + # Browser tiers all failed/empty: the thin static extraction is + # still real (partial) content — better than reporting nothing. + if thin_static_result is not None: + self._log_total(url, "scrapling-static-thin", total_start) + return CrawlOutcome( + status=CrawlOutcomeStatus.SUCCESS, + result=thin_static_result, + tier="scrapling-static", + captcha_attempts=captcha_state["attempts"], + captcha_solved=captcha_state["solved"], + block_type=block_state["block_type"], + ) + + self._log_total(url, "none", total_start) + if reached_without_content: + return CrawlOutcome( + status=CrawlOutcomeStatus.EMPTY, + error=f"No content extracted for {url}. {'; '.join(errors)}", + captcha_attempts=captcha_state["attempts"], + captcha_solved=captcha_state["solved"], + block_type=block_state["block_type"], + ) + return CrawlOutcome( + status=CrawlOutcomeStatus.FAILED, + error=f"All crawl methods failed for {url}. {'; '.join(errors)}", + captcha_attempts=captcha_state["attempts"], + captcha_solved=captcha_state["solved"], + block_type=block_state["block_type"], + ) + + except Exception as e: + self._log_total(url, "error", total_start) + return CrawlOutcome( + status=CrawlOutcomeStatus.FAILED, + error=f"Error crawling URL {url}: {e!s}", + captcha_attempts=captcha_state["attempts"], + captcha_solved=captcha_state["solved"], + block_type=block_state["block_type"], + ) + + async def _run_tier_with_proxy_retry( + self, + tier: str, + attempt: Callable[[], Awaitable[dict[str, Any] | None]], + ) -> dict[str, Any] | None: + """Run one fetch tier, retrying once on a proxy error when pool-backed. + + ``03b`` rotation: a pool-backed ``CustomProxyProvider`` yields the *next* + endpoint on every ``get_proxy_url()`` call, so simply re-invoking the tier + rotates the proxy. Bounded to a single extra attempt per tier — no + unbounded fan-out on billable crawls. Single-endpoint providers + (including the server-side-rotating ``dataimpulse``) skip the retry + entirely (``is_pool_backed()`` is ``False``), since retrying the same + static endpoint would just re-hit the same dead proxy. Non-proxy errors + (and ``NotImplementedError`` from the browser tiers) propagate unchanged + for the caller's existing per-tier handling. + """ + try: + return await attempt() + except Exception as exc: + if is_proxy_error(exc) and is_pool_backed(): + logger.warning( + "%s tier=%s proxy error; rotating endpoint, retrying once: %s", + _PERF, + tier, + exc, + ) + return await attempt() + raise + + @staticmethod + def _log_tier_outcome( + tier: str, + url: str, + tier_start: float, + outcome: str, + exc: Exception | None = None, + ) -> None: + """Log how long a single tier took and how it ended.""" + elapsed_ms = (time.perf_counter() - tier_start) * 1000 + if outcome == "error": + logger.warning( + "%s tier=%s url=%s elapsed_ms=%.1f outcome=error error=%s", + _PERF, + tier, + url, + elapsed_ms, + exc, + ) + else: + logger.info( + "%s tier=%s url=%s elapsed_ms=%.1f outcome=%s", + _PERF, + tier, + url, + elapsed_ms, + outcome, + ) + + @staticmethod + def _log_total(url: str, selected: str, total_start: float) -> None: + """Log the total time spent across all attempted tiers.""" + total_ms = (time.perf_counter() - total_start) * 1000 + logger.info( + "%s url=%s selected=%s total_ms=%.1f", + _PERF, + url, + selected, + total_ms, + ) + + async def _crawl_with_async_fetcher( + self, url: str, block_state: dict[str, Any] | None = None + ) -> dict[str, Any] | None: + """ + Crawl URL using Scrapling's AsyncFetcher (static HTTP) + Trafilatura. + + AsyncFetcher is httpx/curl_cffi based and does not launch a browser + subprocess, making it safe to call from any asyncio event loop. Returns + ``None`` when Trafilatura cannot extract meaningful content (e.g. JS + rendered SPAs) so the caller can fall through to the browser tiers. + """ + fetch_start = time.perf_counter() + # ``impersonate="chrome"`` makes curl_cffi present a real Chrome TLS + # ClientHello (JA3/JA4) instead of its default fingerprint, keeping the + # static tier coherent with the browser tiers' UA (see 03e §2b). + page = await AsyncFetcher.get( + url, + stealthy_headers=True, + impersonate="chrome", + proxy=get_proxy_url(), + timeout=20, + ) + fetch_ms = (time.perf_counter() - fetch_start) * 1000 + + status = getattr(page, "status", None) + if status is not None and status >= 400: + # 03e: classify here too — this early return skips _build_result, and + # the static tier is the first/cheapest hit, so the 403/429 bot-gate + # (the most common block signal) would otherwise never be labeled. + if block_state is not None: + block_state["block_type"] = classify_block( + status, getattr(page, "html_content", None) + ) + logger.info( + "%s tier=scrapling-static url=%s fetch_ms=%.1f status=%s outcome=http_error", + _PERF, + url, + fetch_ms, + status, + ) + return None + + # Trafilatura extraction is CPU-bound (100ms+ on large pages); run it + # off-loop so concurrent requests aren't stalled. The browser tiers get + # this for free by calling _build_result inside their worker threads. + result = await asyncio.to_thread( + self._build_result, + page.html_content, + url, + "scrapling-static", + allow_raw_fallback=False, + fetch_ms=fetch_ms, + status=status, + block_state=block_state, + ) + if result and looks_like_js_shell( + len(page.html_content or ""), len(result.get("content") or "") + ): + # Tag rather than drop: crawl_url escalates to the browser tiers but + # keeps this as a fallback if they all fail (e.g. no subprocess + # support on Windows dev loops). + result["thin_static"] = True + return result + + async def _crawl_with_dynamic( + self, url: str, block_state: dict[str, Any] | None = None + ) -> dict[str, Any] | None: + """ + Crawl URL using Scrapling's DynamicFetcher (full browser) + Trafilatura. + + Runs the sync fetch in a worker thread so it works on any event loop, + including Windows ``SelectorEventLoop`` which cannot spawn subprocesses. + """ + return await asyncio.to_thread(self._crawl_with_dynamic_sync, url, block_state) + + def _crawl_with_dynamic_sync( + self, url: str, block_state: dict[str, Any] | None = None + ) -> dict[str, Any] | None: + """Synchronous DynamicFetcher crawl executed in a worker thread.""" + fetch_start = time.perf_counter() + page = DynamicFetcher.fetch( + url, + headless=True, + network_idle=True, + timeout=30000, + proxy=get_proxy_url(), + page_action=scroll_to_bottom, + ) + fetch_ms = (time.perf_counter() - fetch_start) * 1000 + return self._build_result( + page.html_content, + url, + "scrapling-dynamic", + allow_raw_fallback=False, + fetch_ms=fetch_ms, + status=getattr(page, "status", None), + block_state=block_state, + ) + + async def _crawl_with_stealthy( + self, + url: str, + captcha_state: dict[str, Any] | None = None, + block_state: dict[str, Any] | None = None, + ) -> dict[str, Any] | None: + """ + Crawl URL using Scrapling's StealthyFetcher (patchright-Chromium) + Trafilatura. + + Last-resort tier with anti-bot features. Runs the sync fetch in a worker + thread for the same event-loop-safety reasons as DynamicFetcher. Falls + back to the raw HTML when Trafilatura extraction is empty. + + ``captcha_state`` (03d) is mutated in place by the captcha page_action + (attempts/solved) so ``crawl_url`` can surface it on the outcome. + ``block_state`` (03e) is populated by ``_build_result`` with the block + classification of the fetched page. + """ + return await asyncio.to_thread( + self._crawl_with_stealthy_sync, url, captcha_state, block_state + ) + + def _crawl_with_stealthy_sync( + self, + url: str, + captcha_state: dict[str, Any] | None = None, + block_state: dict[str, Any] | None = None, + ) -> dict[str, Any] | None: + """Synchronous StealthyFetcher crawl executed in a worker thread.""" + fetch_start = time.perf_counter() + # Capture the proxy endpoint ONCE so the captcha solver egresses from the + # SAME IP as this fetch (tokens are IP-bound). Re-calling get_proxy_url() + # inside the page_action would rotate a pool-backed provider to a + # different IP and invalidate the token (03d proxy-coherence caveat). + proxy = get_proxy_url() + + # Build the captcha page_action only when solving is enabled (and not + # process-latched); auto-scroll always runs after it so lazy-loaded + # content behind a bot wall is captured too (captcha first: scrolling a + # challenge interstitial is pointless). + captcha_action = None + if captcha_state is not None and captcha_enabled(): + captcha_action = build_captcha_page_action( + captcha_state, proxy, get_captcha_config() + ) + + def page_action(page: Any) -> Any: + if captcha_action is not None: + page = captcha_action(page) + return scroll_to_bottom(page) + + # ``solve_cloudflare=True`` runs the full Turnstile/Interstitial challenge + # loop; scoped to this last-resort tier only (it spins up the browser). + # Scrapling runs solve_cloudflare BEFORE page_action, so Cloudflare is + # cleared first, then our captcha injector runs. + fetch_kwargs: dict[str, Any] = { + "headless": True, + "network_idle": True, + "block_ads": True, + "solve_cloudflare": True, + "proxy": proxy, + } + # 03e Slice A: merge config-driven stealth levers (block_webrtc, + # hide_canvas, google_search, dns_over_https, geoip locale/timezone). + # Keys never collide with the core kwargs above; defaults preserve + # today's behavior and add no crawl-speed regression. + fetch_kwargs.update(build_stealthy_kwargs(get_stealth_config())) + fetch_kwargs["page_action"] = page_action + page = StealthyFetcher.fetch(url, **fetch_kwargs) + fetch_ms = (time.perf_counter() - fetch_start) * 1000 + return self._build_result( + page.html_content, + url, + "scrapling-stealthy", + allow_raw_fallback=True, + fetch_ms=fetch_ms, + status=getattr(page, "status", None), + block_state=block_state, + ) + + def _build_result( + self, + raw_html: str | None, + url: str, + crawler_type: str, + *, + allow_raw_fallback: bool, + fetch_ms: float | None = None, + status: int | None = None, + block_state: dict[str, Any] | None = None, + ) -> dict[str, Any] | None: + """ + Extract markdown + metadata from raw HTML using Trafilatura. + + Args: + raw_html: Raw HTML source from a fetcher. + url: Original URL (used as the metadata source/title fallback). + crawler_type: Identifier of the tier that produced the HTML. + allow_raw_fallback: When True, return the raw HTML as content if + Trafilatura cannot extract anything (used by the last-resort + stealthy tier). When False, return ``None`` so the caller can + fall through to the next tier. + fetch_ms: Time spent fetching the page (for perf logging). + status: HTTP status code returned by the fetcher (for perf logging). + + Returns: + Result dict (content/metadata/crawler_type) or ``None``. + """ + # 03e: classify the fetched page (additive telemetry/routing only — never + # gates SUCCESS). Done before the early returns so EMPTY/no-extraction + # pages still get labeled. Last tier to fetch wins in block_state. + if block_state is not None: + block_state["block_type"] = classify_block(status, raw_html) + + html_len = len(raw_html) if raw_html else 0 + + if not raw_html or len(raw_html.strip()) == 0: + self._log_build( + crawler_type, url, fetch_ms, 0.0, status, html_len, 0, "empty_html" + ) + return None + + extract_start = time.perf_counter() + extracted_content: str | None = None + trafilatura_metadata = None + + try: + extracted_content = trafilatura.extract( + raw_html, + output_format="markdown", + include_comments=False, + include_tables=True, + include_images=True, + include_links=True, + ) + trafilatura_metadata = trafilatura.extract_metadata(raw_html) + + if extracted_content and len(extracted_content.strip()) == 0: + extracted_content = None + except Exception: + extracted_content = None + + # Repair chain for provably lossy extraction: trafilatura sometimes + # classifies pricing cards / stat grids as boilerplate. If the DOM shows + # currency amounts the markdown lost, retry with favor_recall, then fall + # back to sanitized whole-body markdown. Guarded by the currency check, + # so ordinary pages never pay for a second extraction pass. + if extracted_content and dropped_currency_amounts(raw_html, extracted_content): + try: + recall = trafilatura.extract( + raw_html, + output_format="markdown", + include_comments=False, + include_tables=True, + include_images=True, + include_links=True, + favor_recall=True, + ) + except Exception: + recall = None + if recall and _CURRENCY_AMOUNT_RE.search(recall): + extracted_content = recall + else: + whole = markdown_of_whole_body(raw_html) + if whole and _CURRENCY_AMOUNT_RE.search(whole): + extracted_content = whole + logger.info( + f"{_PERF} event=lossy_repair url={url} recovered=" + f"{bool(_CURRENCY_AMOUNT_RE.search(extracted_content))}" + ) + + extract_ms = (time.perf_counter() - extract_start) * 1000 + + if not extracted_content and not allow_raw_fallback: + self._log_build( + crawler_type, + url, + fetch_ms, + extract_ms, + status, + html_len, + 0, + "no_extraction", + ) + return None + + metadata: dict[str, str] = {"source": url} + if trafilatura_metadata: + if trafilatura_metadata.title: + metadata["title"] = trafilatura_metadata.title + if trafilatura_metadata.description: + metadata["description"] = trafilatura_metadata.description + if trafilatura_metadata.author: + metadata["author"] = trafilatura_metadata.author + if trafilatura_metadata.date: + metadata["date"] = trafilatura_metadata.date + metadata.setdefault("title", url) + + content = extracted_content if extracted_content else raw_html + self._log_build( + crawler_type, + url, + fetch_ms, + extract_ms, + status, + html_len, + len(content), + "extracted" if extracted_content else "raw_fallback", + ) + + # One DOM parse feeds both views: the rich per-anchor inventory (agent + # output — anchor text is the raw material for entity extraction) and + # the URL-only frontier for ``site_crawler.crawl_site``. + link_records = extract_link_records(raw_html, url) + return { + "content": content, + "metadata": metadata, + "crawler_type": crawler_type, + # Next-hop targets for ``site_crawler.crawl_site``; ignored by + # single-URL callers. + "links": [ + r["url"] for r in link_records if r["kind"] not in ("email", "tel") + ], + "link_records": link_records, + # Lead-gen signals harvested from raw HTML (footer/legal boilerplate + # that Trafilatura strips from ``content``). Dict form so callers can + # pass it straight through without importing the dataclass. + "contacts": extract_contacts(raw_html).as_dict(), + } + + @staticmethod + def _log_build( + crawler_type: str, + url: str, + fetch_ms: float | None, + extract_ms: float, + status: int | None, + html_len: int, + content_len: int, + outcome: str, + ) -> None: + """Emit a detailed perf line splitting fetch vs Trafilatura extraction.""" + fetch_repr = f"{fetch_ms:.1f}" if fetch_ms is not None else "n/a" + logger.info( + "%s tier=%s url=%s status=%s fetch_ms=%s extract_ms=%.1f " + "html_len=%d content_len=%d outcome=%s", + _PERF, + crawler_type, + url, + status, + fetch_repr, + extract_ms, + html_len, + content_len, + outcome, + ) + + def format_to_structured_document( + self, crawl_result: dict[str, Any], exclude_metadata: bool = False + ) -> str: + """ + Format crawl result as a structured document. + + Args: + crawl_result: Result from crawl_url method + exclude_metadata: If True, excludes ALL metadata fields from the document. + This is useful for content hash generation to ensure the hash + only changes when actual content changes, not when metadata + (which often contains dynamic fields like timestamps, IDs, etc.) changes. + + Returns: + Structured document string + """ + metadata = crawl_result["metadata"] + content = crawl_result["content"] + + document_parts = ["<DOCUMENT>"] + + # Include metadata section only if not excluded + if not exclude_metadata: + document_parts.append("<METADATA>") + for key, value in metadata.items(): + document_parts.append(f"{key.upper()}: {value}") + document_parts.append("</METADATA>") + + document_parts.extend( + [ + "<CONTENT>", + "FORMAT: markdown", + "TEXT_START", + content, + "TEXT_END", + "</CONTENT>", + "</DOCUMENT>", + ] + ) + + return "\n".join(document_parts) diff --git a/surfsense_backend/app/proprietary/web_crawler/site_crawler.py b/surfsense_backend/app/proprietary/web_crawler/site_crawler.py new file mode 100644 index 000000000..546e74aee --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/site_crawler.py @@ -0,0 +1,259 @@ +# SurfSense proprietary crawler engine. +# +# Part of the ``app.proprietary`` package; licensed separately from the +# Apache-2.0 project root (see ``app/proprietary/LICENSE``). +"""Depth-bounded site crawl driven by Scrapling's spider engine. + +The traversal (frontier, dedupe, link filtering, same-site scope) is Scrapling's +``CrawlerEngine`` + ``LinkExtractor``; every *fetch* still goes through our +``WebCrawlerConnector.crawl_url`` so the tiered fetch ladder, proxy rotation, and +captcha handling are reused unchanged. + +The bridge is ``_ConnectorSession``: a duck-typed Scrapling "session" whose +``fetch`` calls ``crawl_url`` and wraps the ``CrawlOutcome`` in a Scrapling +``Response`` (the outcome is stashed on the response so ``parse`` can rebuild a +``CrawlPage``). The engine is awaited directly on the caller's event loop — +``Spider.start()`` is avoided because it spins up its own loop via ``anyio.run``. +""" + +from __future__ import annotations + +import logging +from collections.abc import Iterable +from dataclasses import dataclass +from typing import TYPE_CHECKING, Any + +from scrapling.spiders import CrawlerEngine, LinkExtractor, Response, Spider + +from app.capabilities.core.progress import emit_progress +from app.proprietary.web_crawler.connector import ( + CrawlOutcome, + CrawlOutcomeStatus, + WebCrawlerConnector, +) +from app.proprietary.web_crawler.url_policy import host_of + +if TYPE_CHECKING: + from collections.abc import AsyncGenerator + + from scrapling.spiders import Request + + +@dataclass(frozen=True) +class CrawlPage: + """A fetched page plus its crawl provenance (depth and referrer).""" + + url: str + status: CrawlOutcomeStatus + depth: int + referrer: str | None = None + loaded_url: str | None = None + content: str | None = None + metadata: dict[str, str] | None = None + contacts: dict[str, list[str]] | None = None + links: list[dict[str, str]] | None = None + error: str | None = None + captcha_attempts: int = 0 + captcha_solved: bool = False + + +# HTTP status the fake Response reports per outcome. Only used for Scrapling's +# stats/logging; block detection is disabled (our connector owns that), so the +# exact codes never gate a retry. +_HTTP_STATUS: dict[CrawlOutcomeStatus, int] = { + CrawlOutcomeStatus.SUCCESS: 200, + CrawlOutcomeStatus.EMPTY: 204, + CrawlOutcomeStatus.FAILED: 502, +} + + +class _ConnectorSession: + """Scrapling-compatible session that fetches via ``WebCrawlerConnector``. + + ``SessionManager`` treats any non-``FetcherSession`` object as a browser-style + session and calls ``await session.fetch(url=..., **kwargs)``. We satisfy that + contract, run the real crawl, and translate the ``CrawlOutcome`` into a + ``Response`` — attaching the outcome as ``response._outcome`` (not ``meta``, + which ``response.follow`` would copy onto every child request). + """ + + def __init__(self, connector: WebCrawlerConnector): + self._connector = connector + self._is_alive = False + + async def __aenter__(self) -> _ConnectorSession: + self._is_alive = True + return self + + async def __aexit__(self, *_exc: object) -> None: + self._is_alive = False + + async def fetch(self, url: str, **_kwargs: Any) -> Response: + emit_progress("fetching", f"Fetching {url}", unit="page", url=url) + outcome = await self._connector.crawl_url(url) + if outcome.captcha_attempts: + emit_progress( + "captcha", + f"Captcha {'solved' if outcome.captcha_solved else 'attempted'} on {url}", + url=url, + attempts=outcome.captcha_attempts, + solved=outcome.captcha_solved, + ) + result = outcome.result or {} + content = result.get("content") + # Selector chokes on empty content; a fetch that raises would be counted + # as a failed request (no parse), dropping the page from the output. Feed + # a harmless placeholder so failed/empty pages still reach ``parse``. + response = Response( + url=result.get("loaded_url") or url, + content=content or "<html></html>", + status=_HTTP_STATUS[outcome.status], + reason=outcome.status.value, + cookies={}, + headers={}, + request_headers={}, + ) + response._outcome = outcome # type: ignore[attr-defined] + return response + + +class _SiteSpider(Spider): + """Depth/page-bounded spider whose fetching is delegated to the connector. + + Concurrency is pinned to 1 so the page cap — and the per-page billing derived + from it — stays exact and the output preserves breadth-first order. + ponytail: raising ``concurrent_requests`` needs an atomic page-budget guard to + avoid overshooting ``max_pages`` (and thus over-fetching / over-billing). + """ + + name = "surfsense_site" + concurrent_requests = 1 + max_blocked_retries = 0 + logging_level = logging.WARNING + + def __init__( + self, + connector: WebCrawlerConnector, + start_urls: list[str], + *, + max_depth: int, + max_pages: int, + link_extractor: LinkExtractor, + ): + self._connector = connector + self._max_depth = max_depth + self._max_pages = max_pages + self._link_extractor = link_extractor + self.pages: list[CrawlPage] = [] + super().__init__() + self.start_urls = list(start_urls) + + def configure_sessions(self, manager: Any) -> None: + manager.add("default", _ConnectorSession(self._connector)) + + async def is_blocked(self, response: Response) -> bool: + # The connector already classifies blocks and exhausts its own fallback + # ladder + proxy rotation; never let the spider re-fetch on top of that. + return False + + async def parse(self, response: Response) -> AsyncGenerator[Request | None, None]: + outcome: CrawlOutcome = response._outcome # type: ignore[attr-defined] + depth: int = response.meta.get("_depth", 0) + referrer: str | None = response.meta.get("_referrer") + req_url = response.request.url if response.request else str(response.url) + + if len(self.pages) < self._max_pages: + self.pages.append(_to_page(req_url, outcome, depth, referrer)) + emit_progress( + "crawled", + f"Crawled {req_url}", + current=len(self.pages), + total=self._max_pages, + unit="page", + url=req_url, + depth=depth, + status=outcome.status.value, + ) + + # Cap reached: stop the engine so queued-but-unfetched links are abandoned + # (never fetched, never billed), matching the old BFS's per-fetch guard. + if len(self.pages) >= self._max_pages: + self.pause() + return + if depth >= self._max_depth: + return + if outcome.status is not CrawlOutcomeStatus.SUCCESS or not outcome.result: + return + + for link in outcome.result.get("links", []): + if not self._link_extractor.matches(link): + continue + yield response.follow( + link, meta={"_depth": depth + 1, "_referrer": req_url} + ) + + +def _to_page( + url: str, + outcome: CrawlOutcome, + depth: int, + referrer: str | None, +) -> CrawlPage: + result = outcome.result or {} + if outcome.status is CrawlOutcomeStatus.SUCCESS and result: + return CrawlPage( + url=url, + status=outcome.status, + depth=depth, + referrer=referrer, + loaded_url=result.get("loaded_url") or url, + content=result.get("content"), + metadata=result.get("metadata"), + contacts=result.get("contacts"), + links=result.get("link_records"), + captcha_attempts=outcome.captcha_attempts, + captcha_solved=outcome.captcha_solved, + ) + return CrawlPage( + url=url, + status=outcome.status, + depth=depth, + referrer=referrer, + error=outcome.error, + captcha_attempts=outcome.captcha_attempts, + captcha_solved=outcome.captcha_solved, + ) + + +async def crawl_site( + engine: WebCrawlerConnector, + start_urls: list[str], + *, + max_crawl_depth: int, + max_crawl_pages: int, + include_patterns: Iterable[str] | None = None, + exclude_patterns: Iterable[str] | None = None, +) -> list[CrawlPage]: + """Crawl ``start_urls`` up to ``max_crawl_depth`` hops / ``max_crawl_pages`` pages. + + Depth 0 fetches only the start URLs. Links are followed only from successful + pages, under the depth cap, on the seeds' sites (subdomains included), and + matching ``include_patterns`` / not matching ``exclude_patterns`` (regexes). + Start URLs count toward ``max_crawl_pages``. Order is breadth-first. + """ + link_extractor = LinkExtractor( + allow=tuple(include_patterns or ()), + deny=tuple(exclude_patterns or ()), + allow_domains=tuple(host_of(u) for u in start_urls), + ) + spider = _SiteSpider( + engine, + start_urls, + max_depth=max_crawl_depth, + max_pages=max_crawl_pages, + link_extractor=link_extractor, + ) + crawler = CrawlerEngine(spider, spider._session_manager) + spider._engine = crawler # enable spider.pause() to stop at the page cap + await crawler.crawl() + return spider.pages diff --git a/surfsense_backend/app/proprietary/web_crawler/stealth.py b/surfsense_backend/app/proprietary/web_crawler/stealth.py new file mode 100644 index 000000000..5b0f469ff --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/stealth.py @@ -0,0 +1,218 @@ +# SurfSense proprietary crawler engine. +# +# This module is part of the ``app.proprietary`` package and is licensed +# SEPARATELY from the Apache-2.0 project root. See ``app/proprietary/LICENSE``. +# Do not relicense or redistribute this file under Apache-2.0. +"""Stealth-hardening config + the centralized per-tier kwargs builder (Phase 3e). + +This is **bypass-specific tuning** (hence proprietary): it decides the +anti-detection lever set the StealthyFetcher tier runs with (WebRTC/canvas/DNS +handling, organic-referer, and proxy-geo-coherent ``locale``/``timezone_id``). +It is the **single source of truth** that turns config -> ``StealthyFetcher`` +keyword arguments, imported by both the crawler (``connector.py``) and the 03f +manual harness, so the scorecard grades the exact browser we ship (no +test-vs-prod drift). + +The generic, vendor-agnostic block *classifier* (passive telemetry, public +markers) stays Apache-2.0 in ``app/utils/crawl/``. The further bypass logic +(WebGL spoof JS, humanize choreography) is deferred to later 03e slices and will +also live here. + +Defaults preserve today's behavior and add **no crawl-speed regression**: +``dns_over_https`` (the only lever with a latency cost) is off unless explicitly +enabled, and geoip resolution is a pure in-process dict lookup (no exit-IP call). +""" + +from dataclasses import dataclass +from typing import Any + +from app.config import config +from app.utils.proxy import get_active_provider + +# Coarse region -> (locale, IANA timezone) map. Country granularity only: per the +# 03e "Geoip accuracy" risk, wrong-but-coherent beats a default mismatch and +# per-city precision isn't worth it. Keyed by ISO-3166 alpha-2; common full names +# are aliased below. Unknown/empty => (None, None) => leave Scrapling's default. +_REGION_TO_LOCALE_TZ: dict[str, tuple[str, str]] = { + "us": ("en-US", "America/New_York"), + "ca": ("en-CA", "America/Toronto"), + "gb": ("en-GB", "Europe/London"), + "ie": ("en-IE", "Europe/Dublin"), + "au": ("en-AU", "Australia/Sydney"), + "nz": ("en-NZ", "Pacific/Auckland"), + "de": ("de-DE", "Europe/Berlin"), + "fr": ("fr-FR", "Europe/Paris"), + "es": ("es-ES", "Europe/Madrid"), + "it": ("it-IT", "Europe/Rome"), + "nl": ("nl-NL", "Europe/Amsterdam"), + "be": ("nl-BE", "Europe/Brussels"), + "ch": ("de-CH", "Europe/Zurich"), + "at": ("de-AT", "Europe/Vienna"), + "se": ("sv-SE", "Europe/Stockholm"), + "no": ("nb-NO", "Europe/Oslo"), + "dk": ("da-DK", "Europe/Copenhagen"), + "fi": ("fi-FI", "Europe/Helsinki"), + "pl": ("pl-PL", "Europe/Warsaw"), + "pt": ("pt-PT", "Europe/Lisbon"), + "ru": ("ru-RU", "Europe/Moscow"), + "ua": ("uk-UA", "Europe/Kyiv"), + "tr": ("tr-TR", "Europe/Istanbul"), + "in": ("en-IN", "Asia/Kolkata"), + "jp": ("ja-JP", "Asia/Tokyo"), + "kr": ("ko-KR", "Asia/Seoul"), + "cn": ("zh-CN", "Asia/Shanghai"), + "hk": ("zh-HK", "Asia/Hong_Kong"), + "tw": ("zh-TW", "Asia/Taipei"), + "sg": ("en-SG", "Asia/Singapore"), + "id": ("id-ID", "Asia/Jakarta"), + "ph": ("en-PH", "Asia/Manila"), + "th": ("th-TH", "Asia/Bangkok"), + "vn": ("vi-VN", "Asia/Ho_Chi_Minh"), + "ae": ("ar-AE", "Asia/Dubai"), + "il": ("he-IL", "Asia/Jerusalem"), + "za": ("en-ZA", "Africa/Johannesburg"), + "br": ("pt-BR", "America/Sao_Paulo"), + "mx": ("es-MX", "America/Mexico_City"), + "ar": ("es-AR", "America/Argentina/Buenos_Aires"), + "cl": ("es-CL", "America/Santiago"), +} + +# Full-name / synonym aliases -> alpha-2 key above. +_REGION_ALIASES: dict[str, str] = { + "usa": "us", + "united states": "us", + "united states of america": "us", + "america": "us", + "uk": "gb", + "united kingdom": "gb", + "great britain": "gb", + "england": "gb", + "canada": "ca", + "australia": "au", + "germany": "de", + "deutschland": "de", + "france": "fr", + "spain": "es", + "italy": "it", + "netherlands": "nl", + "holland": "nl", + "sweden": "se", + "norway": "no", + "denmark": "dk", + "finland": "fi", + "poland": "pl", + "portugal": "pt", + "russia": "ru", + "ukraine": "ua", + "turkey": "tr", + "india": "in", + "japan": "jp", + "korea": "kr", + "south korea": "kr", + "china": "cn", + "hong kong": "hk", + "taiwan": "tw", + "singapore": "sg", + "indonesia": "id", + "philippines": "ph", + "thailand": "th", + "vietnam": "vn", + "israel": "il", + "south africa": "za", + "brazil": "br", + "brasil": "br", + "mexico": "mx", + "argentina": "ar", + "chile": "cl", +} + + +def location_to_locale_timezone( + location: str | None, +) -> tuple[str | None, str | None]: + """Map a free-form proxy region string -> (locale, timezone_id). + + ``location`` is the active proxy provider's exit region + (``ProxyProvider.get_location()``). Best-effort: matches an ISO-3166 alpha-2 + code (e.g. ``"us"``) or a + common country name (e.g. ``"Germany"``); only the leading token is honored, + so vendor strings like ``"us:nyc"`` or ``"de region"`` still resolve. Returns + ``(None, None)`` for empty/unknown input (caller then leaves the browser + default). + """ + if not location: + return (None, None) + + normalized = location.strip().lower() + if not normalized: + return (None, None) + + # Direct alpha-2 hit. + if normalized in _REGION_TO_LOCALE_TZ: + return _REGION_TO_LOCALE_TZ[normalized] + + # Full-name / synonym hit. + if normalized in _REGION_ALIASES: + return _REGION_TO_LOCALE_TZ[_REGION_ALIASES[normalized]] + + # Leading token (handles "us:nyc", "de-rotating", "united states (east)"). + head = normalized.replace("-", " ").replace("_", " ").replace(":", " ").split() + if head: + token = head[0] + if token in _REGION_TO_LOCALE_TZ: + return _REGION_TO_LOCALE_TZ[token] + if token in _REGION_ALIASES: + return _REGION_TO_LOCALE_TZ[_REGION_ALIASES[token]] + + return (None, None) + + +@dataclass(frozen=True) +class StealthConfig: + """Immutable snapshot of the Phase 3e Slice-A stealth levers for one crawl.""" + + geoip_match_enabled: bool + proxy_location: str + block_webrtc: bool + hide_canvas: bool + google_search: bool + dns_over_https: bool + + +def get_stealth_config() -> StealthConfig: + """Build a :class:`StealthConfig` from the current process config/env.""" + return StealthConfig( + geoip_match_enabled=config.CRAWL_GEOIP_MATCH_ENABLED, + proxy_location=get_active_provider().get_location(), + block_webrtc=config.CRAWL_BLOCK_WEBRTC, + hide_canvas=config.CRAWL_HIDE_CANVAS, + google_search=config.CRAWL_GOOGLE_SEARCH_REFERER, + dns_over_https=config.CRAWL_DNS_OVER_HTTPS, + ) + + +def build_stealthy_kwargs(cfg: StealthConfig) -> dict[str, Any]: + """Return the config-derived ``StealthyFetcher.fetch`` keyword arguments. + + Only the Slice-A stealth levers are returned; the caller merges these into + the tier's own kwargs (``headless``/``network_idle``/``block_ads``/ + ``solve_cloudflare``/``proxy``/captcha ``page_action``), which never collide + with the keys here. ``locale``/``timezone_id`` are added only when geoip + matching is enabled *and* the proxy region resolves — otherwise the browser + keeps its system default. + """ + kwargs: dict[str, Any] = { + "block_webrtc": cfg.block_webrtc, + "hide_canvas": cfg.hide_canvas, + "google_search": cfg.google_search, + "dns_over_https": cfg.dns_over_https, + } + + if cfg.geoip_match_enabled: + locale, timezone_id = location_to_locale_timezone(cfg.proxy_location) + if locale: + kwargs["locale"] = locale + if timezone_id: + kwargs["timezone_id"] = timezone_id + + return kwargs diff --git a/surfsense_backend/app/proprietary/web_crawler/testbench/README.md b/surfsense_backend/app/proprietary/web_crawler/testbench/README.md new file mode 100644 index 000000000..e0bb4cc71 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/testbench/README.md @@ -0,0 +1,83 @@ +# Crawler testbench — manual undetectability & extraction scorecard (Phase 3f) + +A **manual, repeatable scorecard** for the Universal WebURL Crawler. It answers +one question with evidence: *how undetectable (and how correct) is the crawler +right now?* — so we know when the free-stack ceiling (`03e`) is reached and the +deferred paid-unblocker tier is worth flipping. + +This is **dev/operator tooling**, not a product code path and **not** part of the +pytest suite (it hits the live internet and needs proxy creds). See +`plans/backend/03f-undetectability-testing.md` for the full design. + +## What it measures (two axes, two suites) + +- **Suite S — stealth / anti-bot:** drives the real `StealthyFetcher` tier + (built from the **same** `app/proprietary/web_crawler/stealth.py` builder the + crawler ships, so no test-vs-prod drift) against the standard bot-detection + sites — sannysoft, deviceandbrowserinfo, reCAPTCHA v3, CreepJS, BrowserScan, + incolumitas, fingerprint-scan, FingerprintJS Pro, a **Cloudflare-challenge + canary** (the only row that exercises `solve_cloudflare`), and iphey — plus the + HTTP-tier TLS fingerprint (`tls.peet.ws`), exit-IP echo, and manual + per-property links (browserleaks). Every detection site is **auto-graded** from + its real DOM verdict (no screenshot reading required). +- **Suite E — extraction correctness:** drives the real `crawl_url` ladder + against ToS-safe scraping sandboxes (`toscrape`, `scrapethissite`) and asserts + known content appears in the extracted markdown. + +## Run it + +From the backend directory (`surfsense_backend/`): + +```bash +uv run python -m app.proprietary.web_crawler.testbench --suite all +# or +.\.venv\Scripts\python.exe -m app.proprietary.web_crawler.testbench --suite all +``` + +Flags: + +| Flag | Meaning | +|---|---| +| `--suite S\|E\|all` | Which suite(s) to run (default `all`). | +| `--proxy URL` | Override the proxy for Suite S (default: the app proxy provider from `.env`). | +| `--headed` | Run the browser tier headful (`headless=False`). | +| `--no-screenshots` | Skip per-site screenshots. | + +Captcha solving is **forced OFF** every run — Suite S measures the *unaided* +stealth score. + +## Reading the output + +Each row prints `PASS / FAIL / ERR / INFO` with the tier and (where one exists) a +numeric. The harness is **tolerant**: a parse miss is `ERROR`, never a crash. +Detection sites are auto-graded from their DOM verdict; `INFO` is reserved for +purely informational rows (TLS fingerprint, exit IP) and the manual +per-property links (browserleaks canvas/webgl/fonts/webrtc). Screenshots are +still captured for every browser row as a backstop. + +Outputs land in `results/`, which is **entirely gitignored** (run-local): + +- `scorecard-<ts>.json` / `.md` — timestamped scorecard + readable report. +- `latest.json` — convenience pointer. +- `screenshots/` — per-site full-page captures. + +Every run prints **drift vs the last baseline** (the previous on-disk scorecard) +so you can see the trend (our stealth improving, or a WAF tightening). + +## The aspirational bars (from CloakBrowser, recorded as targets) + +`sannysoft` 0 failed cells · `deviceandbrowserinfo` isBot=false · +reCAPTCHA v3 `>= 0.7` · CreepJS headless `<= 30%`, no spoof tells · FingerprintJS +demo not blocked · Cloudflare challenge bypassed · iphey `Trustworthy`. We +**record our actual numbers as the baseline** — these are targets, not build +gates (the run never blocks anything). + +## Caveats + +- **Proxy required for realism.** Without residential egress the hard rows fail + by design (datacenter IP); a red scorecard from no-proxy is expected. +- **Sites change.** Detection sites move their DOM; if an auto-parser starts + returning `INFO`/`ERROR`, read the screenshot and (optionally) tighten the + parser — each site is one entry in `suite_stealth.py`. +- **Not a guarantee.** Passing sannysoft/CreepJS ≠ beating DataDome/Kasada; the + value is *trend + ceiling visibility*, not a green checkmark. diff --git a/surfsense_backend/app/proprietary/web_crawler/testbench/__init__.py b/surfsense_backend/app/proprietary/web_crawler/testbench/__init__.py new file mode 100644 index 000000000..04e4a3187 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/testbench/__init__.py @@ -0,0 +1,25 @@ +# SurfSense proprietary crawler engine. +# +# This module is part of the ``app.proprietary`` package and is licensed +# SEPARATELY from the Apache-2.0 project root. See ``app/proprietary/LICENSE``. +# Do not relicense or redistribute this file under Apache-2.0. +"""Phase 3f — manual undetectability & extraction test harness (dev tooling). + +A repeatable, **manual** scorecard that grades the Universal WebURL Crawler on two +axes: + +- **Suite S (stealth / anti-bot):** drives the real Scrapling tiers against the + industry-standard bot-detection + fingerprint sites and parses each verdict. +- **Suite E (extraction correctness):** drives the real ``crawl_url`` ladder + against ToS-safe scraping sandboxes and asserts known values. + +It is **not** collected by pytest (it hits the live internet and needs proxy +creds). Run it from the backend directory: + + uv run python -m app.proprietary.web_crawler.testbench --suite all + # or: .\\.venv\\Scripts\\python.exe -m app.proprietary.web_crawler.testbench --suite all + +See ``README.md`` for the runbook and ``plans/backend/03f-undetectability-testing.md`` +for the design. This package is dev/operator tooling, untouched by the product +rename, and only *measures* what 03a-03e built. +""" diff --git a/surfsense_backend/app/proprietary/web_crawler/testbench/__main__.py b/surfsense_backend/app/proprietary/web_crawler/testbench/__main__.py new file mode 100644 index 000000000..823648ecb --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/testbench/__main__.py @@ -0,0 +1,141 @@ +# SurfSense proprietary crawler engine. +# +# This module is part of the ``app.proprietary`` package and is licensed +# SEPARATELY from the Apache-2.0 project root. See ``app/proprietary/LICENSE``. +# Do not relicense or redistribute this file under Apache-2.0. +"""CLI for the 03f manual scorecard. Run from the backend directory: + + uv run python -m app.proprietary.web_crawler.testbench --suite all + uv run python -m app.proprietary.web_crawler.testbench --suite S --headed + uv run python -m app.proprietary.web_crawler.testbench --suite E --no-screenshots + +Mirrors CloakBrowser's ``bin/cloaktest`` ergonomics. Writes a timestamped +scorecard (JSON + markdown) under ``results/`` and diffs against the last +baseline. Captcha solving is forced OFF so the scorecard measures the *unaided* +stealth ceiling (03f §Harness). +""" + +from __future__ import annotations + +import argparse +import asyncio +import os +import sys +from pathlib import Path + +from dotenv import load_dotenv + +# --- bootstrap: load .env + put backend root on sys.path BEFORE importing app.* --- +# __file__ = app/proprietary/web_crawler/testbench/__main__.py -> backend root is 4 up. +_BACKEND_ROOT = Path(__file__).resolve().parents[4] +if str(_BACKEND_ROOT) not in sys.path: + sys.path.insert(0, str(_BACKEND_ROOT)) +for _candidate in (_BACKEND_ROOT / ".env", _BACKEND_ROOT.parent / ".env"): + if _candidate.exists(): + load_dotenv(_candidate) + break + +# Force captcha solving OFF: Suite S measures the unaided score and we never want +# the 03d injector firing paid solves against the reCAPTCHA-demo row. Must be set +# before app.config is imported (config snapshots env at import). +os.environ["CAPTCHA_SOLVING_ENABLED"] = "false" + + +def _parse_args(argv: list[str]) -> argparse.Namespace: + p = argparse.ArgumentParser( + prog="python -m app.proprietary.web_crawler.testbench", + description="Manual undetectability & extraction scorecard (Phase 3f).", + ) + p.add_argument( + "--suite", + choices=["S", "E", "all"], + default="all", + help="S=stealth/anti-bot, E=extraction correctness, all=both.", + ) + p.add_argument( + "--proxy", + default=None, + help="Override proxy URL for Suite S (default: the app proxy provider).", + ) + p.add_argument( + "--headed", + action="store_true", + help="Run the browser tier headful (headless=False).", + ) + p.add_argument( + "--no-screenshots", + action="store_true", + help="Skip per-site screenshots (faster, no results/screenshots writes).", + ) + return p.parse_args(argv) + + +async def _amain(args: argparse.Namespace) -> int: + # Imports happen here (after bootstrap + env override) so app.config sees the + # forced CAPTCHA_SOLVING_ENABLED=false and the resolved .env. + from app.utils.proxy import get_proxy_url + + from .core import ( + RunMeta, + diff_against_baseline, + load_last_baseline, + render_console, + scrapling_version, + write_scorecard, + ) + + proxy = args.proxy or get_proxy_url() + screenshots = not args.no_screenshots + results = [] + + print( + f"== crawler scorecard == suite={args.suite} " + f"headed={args.headed} proxy={'set' if proxy else 'NONE'} " + f"screenshots={screenshots}" + ) + if not proxy: + print( + " WARNING: no proxy configured — the hard anti-bot rows are expected " + "to fail from a datacenter IP (see README)." + ) + + baseline = load_last_baseline() + + if args.suite in ("S", "all"): + from .suite_stealth import run_suite_s + + results += await run_suite_s( + proxy=proxy, headed=args.headed, screenshots=screenshots + ) + + if args.suite in ("E", "all"): + from .suite_extraction import run_suite_e + + results += await run_suite_e() + + render_console(results) + + meta = RunMeta.now( + suites=args.suite, + proxy=proxy, + headed=args.headed, + scrapling_version=scrapling_version(), + ) + json_path, md_path = write_scorecard(results, meta) + + print("\n--- drift vs last baseline ---") + for line in diff_against_baseline(results, baseline): + print(f" {line}") + + print(f"\nscorecard JSON: {json_path}") + print(f"scorecard MD: {md_path}") + return 0 + + +def main() -> None: + args = _parse_args(sys.argv[1:]) + raise SystemExit(asyncio.run(_amain(args))) + + +if __name__ == "__main__": + main() diff --git a/surfsense_backend/app/proprietary/web_crawler/testbench/core.py b/surfsense_backend/app/proprietary/web_crawler/testbench/core.py new file mode 100644 index 000000000..6003ca035 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/testbench/core.py @@ -0,0 +1,322 @@ +# SurfSense proprietary crawler engine. +# +# This module is part of the ``app.proprietary`` package and is licensed +# SEPARATELY from the Apache-2.0 project root. See ``app/proprietary/LICENSE``. +# Do not relicense or redistribute this file under Apache-2.0. +"""Shared primitives for the 03f scorecard: result model, the closure-cell +``page_action`` verdict-extractor (the 03d-shared mechanism), and the scorecard +snapshot writer / baseline-differ / console renderer. + +Stdlib-only on purpose (the plan's "no new prod dependency" bar). Everything here +is tolerant: a parse miss yields an ``ERROR`` row, never a crash — detection sites +change their DOM and the harness is manual. +""" + +from __future__ import annotations + +import contextlib +import json +from collections.abc import Callable +from dataclasses import asdict, dataclass +from datetime import UTC, datetime +from enum import StrEnum +from pathlib import Path +from typing import Any +from urllib.parse import urlsplit + +# Results live next to the harness; screenshots are gitignored, scorecard JSON is +# committed so runs diff against the last baseline (see README + plan §Scorecard). +_PKG_DIR = Path(__file__).resolve().parent +RESULTS_DIR = _PKG_DIR / "results" +SCREENSHOTS_DIR = RESULTS_DIR / "screenshots" + + +class CheckStatus(StrEnum): + """Outcome of a single scorecard row.""" + + PASS = "PASS" # met the aspirational bar + FAIL = "FAIL" # ran, did not meet the bar + ERROR = "ERROR" # could not run / parse (never fatal to the run) + INFO = "INFO" # recorded, no pass/fail bar (e.g. TLS JA3, manual links) + SKIP = "SKIP" # intentionally not run this invocation + + +@dataclass +class CheckResult: + """One row of the scorecard.""" + + suite: str # "S" (stealth) | "E" (extraction) + name: str # site / check key + tier: str # scrapling-static | scrapling-stealthy | crawl_url | n/a + status: CheckStatus + bar: str # human-readable aspirational threshold + detail: str = "" # short human summary of what was observed + numeric: float | None = None # comparable metric where one exists + screenshot: str | None = None # path, when captured + + def to_row(self) -> dict[str, Any]: + d = asdict(self) + d["status"] = self.status.value + return d + + +@dataclass +class RunMeta: + """Provenance for a scorecard snapshot so baselines are comparable.""" + + timestamp: str + suites: str + proxy: str # masked + headed: bool + scrapling_version: str + captcha_disabled: bool = True + notes: str = "" + + @staticmethod + def now( + *, suites: str, proxy: str | None, headed: bool, scrapling_version: str + ) -> RunMeta: + return RunMeta( + timestamp=datetime.now(UTC).isoformat(timespec="seconds"), + suites=suites, + proxy=mask_proxy(proxy), + headed=headed, + scrapling_version=scrapling_version, + ) + + +# --- closure-cell page_action (the mechanism shared with 03d) ---------------- + + +@dataclass +class EvalCell: + """A mutable cell a ``page_action`` writes its ``page.evaluate`` result into. + + Scrapling discards a ``page_action``'s return value, so the only way to get a + JS-object verdict (CreepJS ``window.Fingerprint``, a Castle.js score node) out + of the browser is to stash it in a closure variable. This is the exact same + plumbing 03d's captcha-token injector uses — factored once here. + """ + + value: Any = None + error: str | None = None + captured: bool = False + + +def make_page_action( + *, + evaluate_js: str | None = None, + screenshot_path: str | None = None, + pre_wait_ms: int = 0, +) -> tuple[Callable[[Any], Any], EvalCell]: + """Build a sync ``page_action`` + the :class:`EvalCell` it writes into. + + The action (in priority order) optionally sleeps ``pre_wait_ms`` (lets async + scores settle), optionally evaluates ``evaluate_js`` into the cell, and + optionally writes a full-page screenshot. Each step is independently guarded + so one failure (e.g. a site without the JS object) never aborts the fetch. + Returns the page unchanged (Scrapling re-reads its DOM afterwards). + """ + cell = EvalCell() + + def _action(page: Any) -> Any: + if pre_wait_ms > 0: + with contextlib.suppress(Exception): + page.wait_for_timeout(pre_wait_ms) + if evaluate_js is not None: + try: + cell.value = page.evaluate(evaluate_js) + cell.captured = True + except Exception as exc: + cell.error = f"{type(exc).__name__}: {exc}" + if screenshot_path is not None: + try: + # The screenshot dir must exist *now* (the page action runs mid-suite, + # before the end-of-run ``ensure_dirs``); Scrapling/patchright will not + # create it for us, so a missing dir silently drops every screenshot. + Path(screenshot_path).parent.mkdir(parents=True, exist_ok=True) + page.screenshot(path=screenshot_path, full_page=True) + except Exception as exc: + if cell.error is None: + cell.error = f"screenshot: {type(exc).__name__}: {exc}" + return page + + return _action, cell + + +# --- helpers ----------------------------------------------------------------- + + +def mask_proxy(url: str | None) -> str: + """Mask credentials in a proxy URL for logs/snapshots.""" + if not url: + return "<none>" + try: + p = urlsplit(url) + host = p.hostname or "?" + port = f":{p.port}" if p.port else "" + return f"{p.scheme}://***@{host}{port}" + except Exception: + return "<set>" + + +def ensure_dirs() -> None: + RESULTS_DIR.mkdir(parents=True, exist_ok=True) + SCREENSHOTS_DIR.mkdir(parents=True, exist_ok=True) + + +def scrapling_version() -> str: + try: + import scrapling + + return getattr(scrapling, "__version__", "unknown") + except Exception: + return "unavailable" + + +# --- scorecard I/O ----------------------------------------------------------- + + +def write_scorecard(results: list[CheckResult], meta: RunMeta) -> tuple[Path, Path]: + """Write the JSON snapshot (committed, baseline) + a readable markdown report. + + The JSON filename is timestamped so prior runs are kept as the baseline trail; + ``latest.json`` is overwritten as the convenience pointer used by the differ. + """ + ensure_dirs() + stamp = meta.timestamp.replace(":", "").replace("-", "") + payload = { + "meta": asdict(meta), + "summary": summarize(results), + "results": [r.to_row() for r in results], + } + json_path = RESULTS_DIR / f"scorecard-{stamp}.json" + json_path.write_text(json.dumps(payload, indent=2), encoding="utf-8") + (RESULTS_DIR / "latest.json").write_text( + json.dumps(payload, indent=2), encoding="utf-8" + ) + md_path = RESULTS_DIR / f"scorecard-{stamp}.md" + md_path.write_text(_render_markdown(results, meta), encoding="utf-8") + return json_path, md_path + + +def load_last_baseline() -> dict[str, Any] | None: + """Load the most recent prior scorecard JSON (excluding ``latest.json``).""" + if not RESULTS_DIR.exists(): + return None + snaps = sorted(RESULTS_DIR.glob("scorecard-*.json")) + if not snaps: + return None + try: + return json.loads(snaps[-1].read_text(encoding="utf-8")) + except Exception: + return None + + +def summarize(results: list[CheckResult]) -> dict[str, dict[str, int]]: + """Per-suite ``{passed, failed, error, info, total}`` counts.""" + out: dict[str, dict[str, int]] = {} + for r in results: + s = out.setdefault( + r.suite, + {"passed": 0, "failed": 0, "error": 0, "info": 0, "skip": 0, "total": 0}, + ) + s["total"] += 1 + key = { + CheckStatus.PASS: "passed", + CheckStatus.FAIL: "failed", + CheckStatus.ERROR: "error", + CheckStatus.INFO: "info", + CheckStatus.SKIP: "skip", + }[r.status] + s[key] += 1 + return out + + +def diff_against_baseline( + results: list[CheckResult], baseline: dict[str, Any] | None +) -> list[str]: + """Human-readable drift lines comparing this run to the last baseline.""" + if not baseline: + return ["(no prior baseline — this run becomes the baseline)"] + prior = {(r["suite"], r["name"]): r for r in baseline.get("results", [])} + lines: list[str] = [] + for r in results: + was = prior.get((r.suite, r.name)) + if was is None: + lines.append(f"+ NEW [{r.suite}] {r.name}: {r.status.value}") + continue + if was["status"] != r.status.value: + lines.append(f"~ {r.name}: status {was['status']} -> {r.status.value}") + old_n, new_n = was.get("numeric"), r.numeric + if old_n is not None and new_n is not None and abs(old_n - new_n) > 1e-9: + lines.append(f"~ {r.name}: numeric {old_n} -> {new_n}") + seen = {(r.suite, r.name) for r in results} + for key, was in prior.items(): + if key not in seen: + lines.append(f"- GONE [{key[0]}] {key[1]} (was {was['status']})") + return lines or ["(no changes vs last baseline)"] + + +# --- rendering --------------------------------------------------------------- + +_ICON = { + CheckStatus.PASS: "PASS", + CheckStatus.FAIL: "FAIL", + CheckStatus.ERROR: "ERR ", + CheckStatus.INFO: "INFO", + CheckStatus.SKIP: "SKIP", +} + + +def render_console(results: list[CheckResult]) -> None: + """Print the grouped scorecard + per-suite totals to stdout.""" + by_suite: dict[str, list[CheckResult]] = {} + for r in results: + by_suite.setdefault(r.suite, []).append(r) + + for suite in sorted(by_suite): + label = ( + "Suite S - stealth/anti-bot" + if suite == "S" + else ("Suite E - extraction" if suite == "E" else f"Suite {suite}") + ) + print(f"\n=== {label} ===") + for r in by_suite[suite]: + num = f" [{r.numeric:g}]" if r.numeric is not None else "" + print(f" {_ICON[r.status]} {r.name:<34} {r.tier:<18}{num}") + if r.detail: + print(f" {r.detail}") + + print("\n--- summary ---") + for suite, s in summarize(results).items(): + print( + f" Suite {suite}: {s['passed']}/{s['total']} passed " + f"(fail={s['failed']} err={s['error']} info={s['info']})" + ) + + +def _render_markdown(results: list[CheckResult], meta: RunMeta) -> str: + lines = [ + f"# Crawler scorecard — {meta.timestamp}", + "", + f"- proxy: `{meta.proxy}` headed: `{meta.headed}` " + f"captcha-disabled: `{meta.captcha_disabled}`", + f"- scrapling: `{meta.scrapling_version}` suites: `{meta.suites}`", + "", + "| Suite | Check | Tier | Status | Numeric | Detail |", + "|---|---|---|---|---|---|", + ] + for r in results: + num = "" if r.numeric is None else f"{r.numeric:g}" + detail = r.detail.replace("|", "\\|") + lines.append( + f"| {r.suite} | {r.name} | {r.tier} | {r.status.value} | {num} | {detail} |" + ) + lines.append("") + for suite, s in summarize(results).items(): + lines.append( + f"- **Suite {suite}**: {s['passed']}/{s['total']} passed " + f"(fail={s['failed']}, err={s['error']}, info={s['info']})" + ) + return "\n".join(lines) + "\n" diff --git a/surfsense_backend/app/proprietary/web_crawler/testbench/results/.gitignore b/surfsense_backend/app/proprietary/web_crawler/testbench/results/.gitignore new file mode 100644 index 000000000..bdd535a38 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/testbench/results/.gitignore @@ -0,0 +1,5 @@ +# Everything under results/ is run-local output (timestamped scorecards, +# latest.json pointer, screenshots, ad-hoc dumps). None of it is committed — +# the dir is kept tracked only via this file so the harness has a write target. +* +!.gitignore diff --git a/surfsense_backend/app/proprietary/web_crawler/testbench/suite_extraction.py b/surfsense_backend/app/proprietary/web_crawler/testbench/suite_extraction.py new file mode 100644 index 000000000..92e338eb8 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/testbench/suite_extraction.py @@ -0,0 +1,123 @@ +# SurfSense proprietary crawler engine. +# +# This module is part of the ``app.proprietary`` package and is licensed +# SEPARATELY from the Apache-2.0 project root. See ``app/proprietary/LICENSE``. +# Do not relicense or redistribute this file under Apache-2.0. +"""Suite E — extraction correctness (separate axis from stealth). + +Unlike Suite S, this drives the **real ``crawl_url`` ladder end-to-end** — the +auto-tier + Trafilatura markdown path is exactly the production behavior we want +to assert. Targets are purpose-built, ToS-safe scraping sandboxes with known +content, so extraction regressions are caught deterministically (a missing +expected string => FAIL). The ``/js`` cases exercise the DynamicFetcher (browser) +tier; the static catalogs exercise the HTTP tier. +""" + +from __future__ import annotations + +from dataclasses import dataclass, field + +from app.proprietary.web_crawler import CrawlOutcomeStatus, WebCrawlerConnector + +from .core import CheckResult, CheckStatus + + +@dataclass +class ExtractionCase: + """A sandbox URL + strings that must appear in the extracted markdown.""" + + name: str + url: str + must_contain: list[str] = field(default_factory=list) + + +_CASES: list[ExtractionCase] = [ + ExtractionCase( + name="books_static", + url="https://books.toscrape.com/", + must_contain=["A Light in the Attic", "Tipping the Velvet"], + ), + ExtractionCase( + name="quotes_static", + url="https://quotes.toscrape.com/", + must_contain=["Albert Einstein", "world as we have created it"], + ), + ExtractionCase( + name="quotes_js_rendered", + url="https://quotes.toscrape.com/js/", + must_contain=["Albert Einstein", "world as we have created it"], + ), + ExtractionCase( + name="scrapethissite_simple", + url="https://www.scrapethissite.com/pages/simple/", + must_contain=["Andorra", "Afghanistan"], + ), +] + + +def _content_of(outcome) -> str: + result = getattr(outcome, "result", None) or {} + if isinstance(result, dict): + return str(result.get("content") or "") + return "" + + +async def _run_case( + connector: WebCrawlerConnector, case: ExtractionCase +) -> CheckResult: + bar = f"SUCCESS + contains {len(case.must_contain)} marker(s)" + try: + outcome = await connector.crawl_url(case.url) + except Exception as exc: + return CheckResult( + suite="E", + name=case.name, + tier="crawl_url", + status=CheckStatus.ERROR, + bar=bar, + detail=f"{type(exc).__name__}: {exc}", + ) + + tier = getattr(outcome, "tier", None) or "crawl_url" + if outcome.status is not CrawlOutcomeStatus.SUCCESS: + return CheckResult( + suite="E", + name=case.name, + tier=tier, + status=CheckStatus.FAIL, + bar=bar, + detail=f"status={outcome.status.value}: {outcome.error or ''}"[:160], + ) + + content = _content_of(outcome) + lowered = content.lower() + missing = [m for m in case.must_contain if m.lower() not in lowered] + if missing: + return CheckResult( + suite="E", + name=case.name, + tier=tier, + status=CheckStatus.FAIL, + bar=bar, + detail=f"missing {missing} (len={len(content)})", + numeric=float(len(content)), + ) + return CheckResult( + suite="E", + name=case.name, + tier=tier, + status=CheckStatus.PASS, + bar=bar, + detail=f"all markers present (tier={tier}, len={len(content)})", + numeric=float(len(content)), + ) + + +async def run_suite_e() -> list[CheckResult]: + """Run the extraction-correctness cases against the live sandboxes.""" + connector = WebCrawlerConnector() + results: list[CheckResult] = [] + for case in _CASES: + print(f" [E] {case.name} -> {case.url}") + results.append(await _run_case(connector, case)) + return results diff --git a/surfsense_backend/app/proprietary/web_crawler/testbench/suite_stealth.py b/surfsense_backend/app/proprietary/web_crawler/testbench/suite_stealth.py new file mode 100644 index 000000000..09f2e56d8 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/testbench/suite_stealth.py @@ -0,0 +1,507 @@ +# SurfSense proprietary crawler engine. +# +# This module is part of the ``app.proprietary`` package and is licensed +# SEPARATELY from the Apache-2.0 project root. See ``app/proprietary/LICENSE``. +# Do not relicense or redistribute this file under Apache-2.0. +"""Suite S — stealth / anti-bot scorecard. + +Drives the **browser tier** (``StealthyFetcher``) against the standard +bot-detection sites and the **HTTP tier** (``AsyncFetcher``) against the TLS / +proxy-leak JSON endpoints. Critically, the browser tier is built from the **same +centralized stealth builder the crawler ships** (``build_stealthy_kwargs`` / +``get_stealth_config`` in ``app/proprietary/web_crawler/stealth.py``) so the scorecard grades +the exact browser we run in production — no test-vs-prod drift (03f §Harness). + +Verdict extraction is best-effort and tolerant: machine-readable signals +(reCAPTCHA score text, are-you-a-bot text, sannysoft failed-cell count, TLS/proxy +JSON) get a real PASS/FAIL/numeric; DOM-heavy fingerprint pages are recorded as +INFO with a screenshot + captured text for the operator to read. Tightening any +parser later is a one-function change (the spec list is the extension point). +""" + +from __future__ import annotations + +import asyncio +import contextlib +import re +from collections.abc import Callable +from dataclasses import dataclass +from typing import Any + +from scrapling.fetchers import AsyncFetcher, StealthyFetcher + +from app.proprietary.web_crawler.stealth import ( + build_stealthy_kwargs, + get_stealth_config, +) + +from .core import ( + SCREENSHOTS_DIR, + CheckResult, + CheckStatus, + EvalCell, + make_page_action, +) + +# Parser: (page, eval_cell) -> (status, numeric, detail). +Parser = Callable[[Any, EvalCell], "tuple[CheckStatus, float | None, str]"] + + +@dataclass +class StealthSite: + """One browser-tier detection site + how to read its verdict.""" + + name: str + url: str + bar: str + parse: Parser + settle_ms: int = 0 # extra in-page wait for async-computed scores + evaluate_js: str | None = None # for window.* / JS-object verdicts + + +def _text(page: Any, limit: int = 4000) -> str: + """Best-effort visible text of a fetched page (short, for fallback details).""" + return _full_text(page, limit) + + +def _full_text(page: Any, limit: int = 200_000) -> str: + """Untruncated visible text — detector verdicts live deep in long pages.""" + try: + txt = page.get_all_text() + if txt: + return str(txt)[:limit] + except Exception: + pass + try: + return str(page.html_content or "")[:limit] + except Exception: + return "" + + +# --- per-site parsers (all written against real DOM dumps, no screenshots) --- + + +def _parse_sannysoft(page: Any, _cell: EvalCell): + """Count failed result cells (JS sets class='failed' on red rows).""" + html = "" + with contextlib.suppress(Exception): + html = page.html_content or "" + fails = len(re.findall(r'class="[^"]*\bfailed\b[^"]*"', html)) + if not html: + return (CheckStatus.ERROR, None, "no html returned") + status = CheckStatus.PASS if fails == 0 else CheckStatus.FAIL + return (status, float(fails), f"{fails} failed cell(s) (bar: 0)") + + +# deviceandbrowserinfo renders a JSON verdict block: {"isBot": false, ...}. +_ISBOT_RE = re.compile(r'"isbot"\s*:\s*(true|false)', re.IGNORECASE) + + +def _parse_areyouabot(page: Any, _cell: EvalCell): + txt = _full_text(page) + m = _ISBOT_RE.search(txt) + if m: + is_bot = m.group(1).lower() == "true" + return ( + CheckStatus.FAIL if is_bot else CheckStatus.PASS, + 1.0 if is_bot else 0.0, + f"isBot={is_bot}", + ) + low = txt.lower() + if "you are human" in low or "not a bot" in low: + return (CheckStatus.PASS, 0.0, "verdict: human") + if "you are a bot" in low: + return (CheckStatus.FAIL, 1.0, "verdict: BOT") + return (CheckStatus.INFO, None, f"unparsed: {low[:120]!r}") + + +# The reCAPTCHA demo echoes the server verify response: {"success":true,"score":0.9}. +_SCORE_JSON_RE = re.compile(r'"score"\s*:\s*([0-9]*\.?[0-9]+)') + + +def _parse_recaptcha_v3(page: Any, _cell: EvalCell): + txt = _full_text(page) + m = _SCORE_JSON_RE.search(txt) + if not m: # fall back to looser prose match + m = re.search(r"score[^0-9]{0,12}([01](?:\.\d+)?)", txt, re.IGNORECASE) + if not m: + return (CheckStatus.INFO, None, f"no score parsed: {txt[:120]!r}") + score = float(m.group(1)) + status = CheckStatus.PASS if score >= 0.7 else CheckStatus.FAIL + return (status, score, f"reCAPTCHA v3 score={score} (bar: >=0.7)") + + +# CreepJS prints category percentages ("33% headless") + boolean tells inline. +_CREEPJS_TELLS = ( + "webDriverIsOn", + "hasHeadlessUA", + "hasHeadlessWorkerUA", + "hasBadWebGL", + "hasSwiftShader", +) + + +def _parse_creepjs(page: Any, _cell: EvalCell): + """Grade CreepJS by its headless-similarity % + the boolean spoof tells.""" + txt = _full_text(page) + + def _pct(label: str) -> int | None: + m = re.search(r"(\d+)%\s*" + label, txt, re.IGNORECASE) + return int(m.group(1)) if m else None + + headless = _pct(r"headless") + stealth = _pct(r"stealth") + tells = [ + flag + for flag in _CREEPJS_TELLS + if re.search(re.escape(flag) + r"\s*:\s*true", txt, re.IGNORECASE) + ] + if headless is None and not tells: + return (CheckStatus.INFO, None, f"unparsed: {txt[:120]!r}") + bad = bool(tells) or (headless is not None and headless > 30) + detail = f"headless={headless}% stealth={stealth}% tells={tells or 'none'}" + return ( + CheckStatus.FAIL if bad else CheckStatus.PASS, + float(headless) if headless is not None else None, + detail, + ) + + +# incolumitas emits JSON test blocks ("WEBDRIVER":"FAIL") + an IP classification. +_FAIL_KEY_RE = re.compile(r'"([A-Za-z_]+)"\s*:\s*"FAIL"') +_DC_RE = re.compile(r'"is_datacenter"\s*:\s*(true|false)', re.IGNORECASE) +_BEHAV_RE = re.compile(r"Your Behavioral Score:\s*([0-9.]+)", re.IGNORECASE) + + +def _parse_incolumitas(page: Any, _cell: EvalCell): + txt = _full_text(page) + fails = sorted(set(_FAIL_KEY_RE.findall(txt))) + dc = _DC_RE.search(txt) + datacenter = dc.group(1) if dc else "?" + behav = _BEHAV_RE.search(txt) + bscore = behav.group(1) if behav else "n/a (no synthetic input)" + if not fails and dc is None: + return (CheckStatus.INFO, None, f"unparsed: {txt[:120]!r}") + detail = ( + f"fpscanner FAIL={fails or 'none'} datacenter={datacenter} behavioral={bscore}" + ) + return ( + CheckStatus.PASS if not fails else CheckStatus.FAIL, + float(len(fails)), + detail, + ) + + +# fingerprint-scan.com: "Bot Risk Score: 35/100"; the site flags >50 as bot. +_RISK_RE = re.compile(r"Bot Risk Score:\s*(\d+)\s*/\s*100", re.IGNORECASE) + + +def _parse_fingerprint_scan(page: Any, _cell: EvalCell): + txt = _full_text(page) + m = _RISK_RE.search(txt) + if not m: + return (CheckStatus.INFO, None, f"no risk score: {txt[:120]!r}") + score = int(m.group(1)) + status = CheckStatus.PASS if score < 50 else CheckStatus.FAIL + return (status, float(score), f"bot risk {score}/100 (bar: <50)") + + +def _parse_fingerprintjs(page: Any, _cell: EvalCell): + """FingerprintJS Pro Smart Signals: a block message means we were detected.""" + low = _full_text(page).lower() + if "access denied" in low or "tampering detected" in low: + return (CheckStatus.FAIL, 1.0, "blocked: anti-detect tampering / access denied") + if "search for today's flights" in low or "flight" in low: + return (CheckStatus.PASS, 0.0, "not blocked (flight results served)") + return (CheckStatus.INFO, None, f"unparsed: {low[:120]!r}") + + +def _parse_browserscan(page: Any, _cell: EvalCell): + """BrowserScan grades each probe Normal/Abnormal; any Abnormal = detected.""" + txt = _full_text(page) + abnormal = len(re.findall(r"\bAbnormal\b", txt)) + if abnormal == 0 and "Test Results:" in txt and "Normal" in txt: + return (CheckStatus.PASS, 0.0, "Test Results: Normal (0 Abnormal)") + if abnormal > 0: + return (CheckStatus.FAIL, float(abnormal), f"{abnormal} Abnormal signal(s)") + return (CheckStatus.INFO, None, f"unparsed: {txt[:120]!r}") + + +# The scrapingcourse CF canary prints an explicit success line once solved; a +# failure leaves the interstitial ("Just a moment...") in the DOM. This is the +# ONLY site here that exercises solve_cloudflare (the others present no challenge). +_CF_PASS = "you bypassed the cloudflare challenge" +_CF_BLOCK = ("just a moment", "attention required", "verify you are human") + + +def _parse_cloudflare(page: Any, _cell: EvalCell): + low = _full_text(page).lower() + if _CF_PASS in low: + return (CheckStatus.PASS, 0.0, "bypassed Cloudflare challenge") + if any(m in low for m in _CF_BLOCK): + return (CheckStatus.FAIL, 1.0, "stuck on Cloudflare interstitial") + return (CheckStatus.INFO, None, f"unparsed: {low[:120]!r}") + + +# iphey renders a masthead verdict "Your Digital Identity Looks <Trustworthy| +# Unreliable|Suspicious>" after an async fingerprint+IP correlation (slow → big +# settle). Only "Trustworthy" is a clean pass. +_IPHEY_RE = re.compile(r"Your Digital Identity Looks\s+([A-Za-z]+)", re.IGNORECASE) + + +def _parse_iphey(page: Any, _cell: EvalCell): + txt = _full_text(page) + m = _IPHEY_RE.search(txt) + if not m: + return (CheckStatus.INFO, None, f"verdict not loaded: {txt[:120]!r}") + verdict = m.group(1) + ok = verdict.lower() == "trustworthy" + return ( + CheckStatus.PASS if ok else CheckStatus.FAIL, + 0.0 if ok else 1.0, + f"iphey verdict: {verdict}", + ) + + +_BROWSER_SITES: list[StealthSite] = [ + StealthSite( + name="sannysoft", + url="https://bot.sannysoft.com/", + bar="0 failed cells", + parse=_parse_sannysoft, + settle_ms=3000, + ), + StealthSite( + name="deviceandbrowserinfo", + url="https://deviceandbrowserinfo.com/are_you_a_bot", + bar="isBot=false", + parse=_parse_areyouabot, + settle_ms=3000, + ), + StealthSite( + name="recaptcha_v3_score", + url="https://recaptcha-demo.appspot.com/recaptcha-v3-request-scores.php", + bar="score >= 0.7", + parse=_parse_recaptcha_v3, + # v3 runs grecaptcha.execute then round-trips a server verify; too-short a + # wait reads the page before the {"score":..} JSON lands (false 0.0). + settle_ms=12000, + ), + StealthSite( + name="creepjs", + url="https://abrahamjuliot.github.io/creepjs/", + bar="headless <=30%, no spoof tells", + parse=_parse_creepjs, + settle_ms=30000, + ), + StealthSite( + name="browserscan", + url="https://www.browserscan.net/bot-detection", + bar="0 Abnormal", + parse=_parse_browserscan, + settle_ms=8000, + ), + StealthSite( + name="incolumitas", + url="https://bot.incolumitas.com/", + bar="0 fpscanner FAIL", + parse=_parse_incolumitas, + settle_ms=12000, + ), + StealthSite( + name="fingerprint_scan", + url="https://fingerprint-scan.com/", + bar="bot risk < 50/100", + parse=_parse_fingerprint_scan, + settle_ms=20000, + ), + StealthSite( + name="fingerprintjs_demo", + url="https://demo.fingerprint.com/web-scraping", + bar="not blocked", + parse=_parse_fingerprintjs, + settle_ms=6000, + ), + StealthSite( + name="cloudflare_challenge", + url="https://www.scrapingcourse.com/cloudflare-challenge", + bar="bypass CF challenge (exercises solve_cloudflare)", + parse=_parse_cloudflare, + settle_ms=15000, + ), + StealthSite( + name="iphey", + url="https://iphey.com/", + bar="verdict Trustworthy", + parse=_parse_iphey, + # iphey's verdict loads via a slow async correlation; <~20s reads the + # "Temporary value" placeholder (false INFO). + settle_ms=25000, + ), +] + +# S2 — per-property fingerprint pages: too visual to auto-grade; emit as manual +# links so the operator can confirm the 03e levers (canvas/webgl/fonts/webrtc). +_MANUAL_LINKS: list[tuple[str, str]] = [ + ("browserleaks_canvas", "https://browserleaks.com/canvas"), + ("browserleaks_webgl", "https://browserleaks.com/webgl"), + ("browserleaks_fonts", "https://browserleaks.com/fonts"), + ("browserleaks_webrtc", "https://browserleaks.com/webrtc"), +] + + +def _run_browser_site( + site: StealthSite, *, proxy: str | None, headed: bool, screenshots: bool +) -> CheckResult: + shot = str(SCREENSHOTS_DIR / f"S_{site.name}.png") if screenshots else None + action, cell = make_page_action( + evaluate_js=site.evaluate_js, + screenshot_path=shot, + pre_wait_ms=site.settle_ms, + ) + kwargs: dict[str, Any] = { + "headless": not headed, + "network_idle": True, + "block_ads": True, + "solve_cloudflare": True, + "proxy": proxy, + "timeout": 120000, + "page_action": action, + } + # Single source of truth — the exact levers the production crawler ships. + kwargs.update(build_stealthy_kwargs(get_stealth_config())) + + try: + page = StealthyFetcher.fetch(site.url, **kwargs) + except Exception as exc: + return CheckResult( + suite="S", + name=site.name, + tier="scrapling-stealthy", + status=CheckStatus.ERROR, + bar=site.bar, + detail=f"fetch failed: {type(exc).__name__}: {exc}", + screenshot=shot, + ) + + try: + status, numeric, detail = site.parse(page, cell) + except Exception as exc: + status, numeric, detail = ( + CheckStatus.ERROR, + None, + f"parse failed: {type(exc).__name__}: {exc}", + ) + return CheckResult( + suite="S", + name=site.name, + tier="scrapling-stealthy", + status=status, + bar=site.bar, + detail=detail, + numeric=numeric, + screenshot=shot, + ) + + +async def _run_tls(proxy: str | None) -> CheckResult: + """S3 — JA3/JA4/PeetPrint of the impersonated static (curl_cffi) tier.""" + try: + page = await AsyncFetcher.get( + "https://tls.peet.ws/api/all", + stealthy_headers=True, + impersonate="chrome", + proxy=proxy, + timeout=30, + ) + data = page.json() + tls = data.get("tls", {}) if isinstance(data, dict) else {} + ja3 = tls.get("ja3_hash") or tls.get("ja3") + ja4 = tls.get("ja4") + peet = tls.get("peetprint_hash") + return CheckResult( + suite="S", + name="tls_fingerprint", + tier="scrapling-static", + status=CheckStatus.INFO, + bar="informational (diff vs real Chrome)", + detail=f"ja3={ja3} ja4={ja4} peet={peet}", + ) + except Exception as exc: + return CheckResult( + suite="S", + name="tls_fingerprint", + tier="scrapling-static", + status=CheckStatus.ERROR, + bar="informational", + detail=f"{type(exc).__name__}: {exc}", + ) + + +async def _run_proxy_leak(proxy: str | None) -> CheckResult: + """S4 — record the exit IP seen by an echo endpoint (proves egress path).""" + try: + page = await AsyncFetcher.get( + "https://api.ipify.org?format=json", + impersonate="chrome", + proxy=proxy, + timeout=30, + ) + data = page.json() + ip = data.get("ip") if isinstance(data, dict) else None + note = "via proxy" if proxy else "DIRECT (no proxy — datacenter IP)" + return CheckResult( + suite="S", + name="exit_ip", + tier="scrapling-static", + status=CheckStatus.INFO, + bar="not your real/datacenter IP", + detail=f"exit_ip={ip} ({note})", + ) + except Exception as exc: + return CheckResult( + suite="S", + name="exit_ip", + tier="scrapling-static", + status=CheckStatus.ERROR, + bar="n/a", + detail=f"{type(exc).__name__}: {exc}", + ) + + +async def run_suite_s( + *, proxy: str | None, headed: bool, screenshots: bool +) -> list[CheckResult]: + """Run the full stealth suite (browser tier sites + TLS + proxy + manual links).""" + results: list[CheckResult] = [] + + # Browser sites are sync (spin up a real browser) → offload per-site so one + # slow score doesn't stall the loop and the event loop stays clean. + for site in _BROWSER_SITES: + print(f" [S] {site.name} ... (settle {site.settle_ms}ms)") + res = await asyncio.to_thread( + _run_browser_site, + site, + proxy=proxy, + headed=headed, + screenshots=screenshots, + ) + results.append(res) + + print(" [S] tls_fingerprint + exit_ip ...") + results.append(await _run_tls(proxy)) + results.append(await _run_proxy_leak(proxy)) + + for name, url in _MANUAL_LINKS: + results.append( + CheckResult( + suite="S", + name=name, + tier="manual", + status=CheckStatus.INFO, + bar="open in a real headed run + compare", + detail=url, + ) + ) + + return results diff --git a/surfsense_backend/app/proprietary/web_crawler/url_policy.py b/surfsense_backend/app/proprietary/web_crawler/url_policy.py new file mode 100644 index 000000000..db07d6aa9 --- /dev/null +++ b/surfsense_backend/app/proprietary/web_crawler/url_policy.py @@ -0,0 +1,165 @@ +# SurfSense proprietary crawler engine. +# +# Part of the ``app.proprietary`` package; licensed separately from the +# Apache-2.0 project root (see ``app/proprietary/LICENSE``). +"""URL helpers for the crawler: link extraction (connector) and host scope (spider). + +Pure functions (no I/O). Dedupe/canonicalization and same-site link filtering now +live in Scrapling's ``Scheduler`` / ``LinkExtractor`` (see ``site_crawler``); only +these two primitives remain SurfSense-owned. +""" + +from __future__ import annotations + +import re +from typing import Any +from urllib.parse import unquote, urldefrag, urljoin, urlsplit + +from lxml import html as lxml_html +from lxml.etree import ParserError + +from app.utils.crawl import is_social_host + +_WHITESPACE_RE = re.compile(r"\s+") + +# Anchor text cap: card-style links wrap whole article previews in one <a>; +# beyond this the text is a content dump, not a label. +_MAX_ANCHOR_TEXT = 200 + +# Context cap: nearest-ancestor text for icon-only anchors. Person/company +# cards ("Jane Doe General Partner") fit well under this; anything longer is +# a section dump and gets truncated rather than dropped. +_MAX_CONTEXT = 120 + + +def _collapse(text: str) -> str: + return _WHITESPACE_RE.sub(" ", text).strip() + + +def _node_text(node: Any) -> str: + # itertext + space-join keeps a word boundary between block elements, + # where text_content() would glue "Jane Doe</h3><p>Partner" together. + return _collapse(" ".join(node.itertext())) + + +def _anchor_label(anchor: Any) -> str: + """Best label for an anchor: its text, else aria-label/title, else img alt.""" + text = _node_text(anchor) + if text: + return text + for attr in ("aria-label", "title"): + value = _collapse(anchor.get(attr) or "") + if value: + return value + for alt in anchor.xpath(".//img/@alt"): + value = _collapse(str(alt)) + if value: + return value + return "" + + +def _anchor_context(anchor: Any) -> str: + """Nearest ancestor's text for unlabeled anchors (icon-only social links). + + Team/profile cards put the person's name next to — not inside — the icon + link, so the closest ancestor with any text is the entity label we want. + """ + node = anchor.getparent() + while node is not None: + text = _node_text(node) + if text: + return text[:_MAX_CONTEXT] + node = node.getparent() + return "" + + +def extract_link_records(page_html: str | None, base_url: str) -> list[dict[str, str]]: + """Structured ``<a>`` inventory: ``{url, text, context, rel, kind}`` per target. + + ``kind`` is one of ``internal`` (same site as ``base_url``), ``external``, + ``social`` (known profile host), ``email`` (``mailto:``), or ``tel``. http(s) + targets are absolutized against ``base_url`` and fragment-stripped; the + page's own URL is dropped. De-duplicated by target URL (first-seen order), + keeping the first non-empty anchor text so a nav logo link doesn't shadow + the labeled one. + + ``text`` falls back to aria-label/title/img-alt for icon-only anchors. + ``context`` (social/email/tel only) is the nearest ancestor's text — team + pages label a person *next to* their LinkedIn icon, not inside it, so this + is what ties a profile URL to its entity. + """ + if not page_html or not page_html.strip(): + return [] + try: + root = lxml_html.fromstring(page_html) + except (ParserError, ValueError): + return [] + + self_url, _ = urldefrag(base_url) + base_host = host_of(base_url) + records: dict[str, dict[str, str]] = {} + + for anchor in root.xpath("//a[@href]"): + href = str(anchor.get("href", "")).strip() + low = href.lower() + # unquote: hrefs URL-encode spaces etc. ("tel:+1%20408-629-1770") + if low.startswith("mailto:"): + target = unquote(urlsplit(href).path.split("?")[0]).strip() + kind = "email" + elif low.startswith("tel:"): + target = unquote(urlsplit(href).path).strip() + kind = "tel" + else: + target, _ = urldefrag(urljoin(base_url, href)) + if urlsplit(target).scheme not in ("http", "https"): + continue + if target == self_url: + continue + host = (urlsplit(target).hostname or "").lower() + if is_social_host(host): + kind = "social" + elif host_of(target) == base_host: + kind = "internal" + else: + kind = "external" + if not target: + continue + + text = _anchor_label(anchor)[:_MAX_ANCHOR_TEXT] + record = { + "url": target, + "text": text, + "rel": str(anchor.get("rel", "")).strip(), + "kind": kind, + } + # Context only where entity attribution matters; internal/external nav + # context is boilerplate that would bloat every item. + if kind in ("social", "email", "tel"): + record["context"] = _anchor_context(anchor) if not text else "" + existing = records.get(target) + if existing is None: + records[target] = record + elif not existing["text"] and text: + existing["text"] = text + if "context" in existing: + existing["context"] = "" + return list(records.values()) + + +def extract_links(page_html: str | None, base_url: str) -> list[str]: + """Absolute, http(s), fragment-free, de-duplicated ``<a href>`` targets. + + URL-only view of ``extract_link_records`` for callers that just need the + frontier; first-seen order is preserved to keep it stable. + """ + return [ + record["url"] + for record in extract_link_records(page_html, base_url) + if record["kind"] not in ("email", "tel") + ] + + +def host_of(url: str) -> str: + """Lowercased host with a leading ``www.`` removed, for same-site matching.""" + host = (urlsplit(url).hostname or "").lower() + return host[4:] if host.startswith("www.") else host diff --git a/surfsense_backend/app/retriever/chunks_hybrid_search.py b/surfsense_backend/app/retriever/chunks_hybrid_search.py index 5e5edec2e..8f247b661 100644 --- a/surfsense_backend/app/retriever/chunks_hybrid_search.py +++ b/surfsense_backend/app/retriever/chunks_hybrid_search.py @@ -14,29 +14,29 @@ def _instrument_search(mode: str): def _decorator(func): @functools.wraps(func) async def _wrapper( - self, query_text: str, top_k: int, search_space_id: int, *args, **kwargs + self, query_text: str, top_k: int, workspace_id: int, *args, **kwargs ): t0 = time.perf_counter() with ot.kb_search_span( - search_space_id=search_space_id, + workspace_id=workspace_id, query_chars=len(query_text), extra={"search.surface": "chunks", "search.mode": mode}, ) as sp: try: result = await func( - self, query_text, top_k, search_space_id, *args, **kwargs + self, query_text, top_k, workspace_id, *args, **kwargs ) except Exception: ot_metrics.record_kb_search_duration( (time.perf_counter() - t0) * 1000, - search_space_id=search_space_id, + workspace_id=workspace_id, surface="chunks", ) raise sp.set_attribute("result.count", len(result)) ot_metrics.record_kb_search_duration( (time.perf_counter() - t0) * 1000, - search_space_id=search_space_id, + workspace_id=workspace_id, surface="chunks", ) return result @@ -61,7 +61,7 @@ class ChucksHybridSearchRetriever: self, query_text: str, top_k: int, - search_space_id: int, + workspace_id: int, start_date: datetime | None = None, end_date: datetime | None = None, ) -> list: @@ -71,7 +71,7 @@ class ChucksHybridSearchRetriever: Args: query_text: The search query text top_k: Number of results to return - search_space_id: The search space ID to search within + workspace_id: The workspace ID to search within start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -96,12 +96,12 @@ class ChucksHybridSearchRetriever: time.perf_counter() - t_embed, ) - # Build the query filtered by search space + # Build the query filtered by workspace query = ( select(Chunk) - .options(joinedload(Chunk.document).joinedload(Document.search_space)) + .options(joinedload(Chunk.document).joinedload(Document.workspace)) .join(Document, Chunk.document_id == Document.id) - .where(Document.search_space_id == search_space_id) + .where(Document.workspace_id == workspace_id) ) # Add time-based filtering if provided @@ -122,7 +122,7 @@ class ChucksHybridSearchRetriever: time.perf_counter() - t_db, len(chunks), time.perf_counter() - t0, - search_space_id, + workspace_id, ) return chunks @@ -132,7 +132,7 @@ class ChucksHybridSearchRetriever: self, query_text: str, top_k: int, - search_space_id: int, + workspace_id: int, start_date: datetime | None = None, end_date: datetime | None = None, ) -> list: @@ -142,7 +142,7 @@ class ChucksHybridSearchRetriever: Args: query_text: The search query text top_k: Number of results to return - search_space_id: The search space ID to search within + workspace_id: The workspace ID to search within start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -161,12 +161,12 @@ class ChucksHybridSearchRetriever: tsvector = func.to_tsvector("english", Chunk.content) tsquery = func.plainto_tsquery("english", query_text) - # Build the query filtered by search space + # Build the query filtered by workspace query = ( select(Chunk) - .options(joinedload(Chunk.document).joinedload(Document.search_space)) + .options(joinedload(Chunk.document).joinedload(Document.workspace)) .join(Document, Chunk.document_id == Document.id) - .where(Document.search_space_id == search_space_id) + .where(Document.workspace_id == workspace_id) .where( tsvector.op("@@")(tsquery) ) # Only include results that match the query @@ -188,7 +188,7 @@ class ChucksHybridSearchRetriever: "[chunk_search] full_text_search in %.3fs results=%d space=%d", time.perf_counter() - t0, len(chunks), - search_space_id, + workspace_id, ) return chunks @@ -198,7 +198,7 @@ class ChucksHybridSearchRetriever: self, query_text: str, top_k: int, - search_space_id: int, + workspace_id: int, document_type: str | list[str] | None = None, start_date: datetime | None = None, end_date: datetime | None = None, @@ -213,7 +213,7 @@ class ChucksHybridSearchRetriever: Args: query_text: The search query text top_k: Number of documents to return - search_space_id: The search space ID to search within + workspace_id: The workspace ID to search within document_type: Optional document type to filter results (e.g., "FILE", "CRAWLED_URL") start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -252,10 +252,10 @@ class ChucksHybridSearchRetriever: tsvector = func.to_tsvector("english", Chunk.content) tsquery = func.plainto_tsquery("english", query_text) - # Base conditions for chunk filtering - search space is required. + # Base conditions for chunk filtering - workspace is required. # Exclude documents in "deleting" state (background deletion in progress). base_conditions = [ - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, func.coalesce(Document.status["state"].astext, "ready") != "deleting", ] @@ -284,7 +284,7 @@ class ChucksHybridSearchRetriever: if end_date is not None: base_conditions.append(Document.updated_at <= end_date) - # CTE for semantic search filtered by search space + # CTE for semantic search filtered by workspace semantic_search_cte = ( select( Chunk.id, @@ -302,7 +302,7 @@ class ChucksHybridSearchRetriever: .cte("semantic_search") ) - # CTE for keyword search filtered by search space + # CTE for keyword search filtered by workspace keyword_search_cte = ( select( Chunk.id, @@ -355,7 +355,7 @@ class ChucksHybridSearchRetriever: "[chunk_search] hybrid_search RRF query in %.3fs results=%d space=%d type=%s", time.perf_counter() - t_rrf, len(chunks_with_scores), - search_space_id, + workspace_id, document_type, ) @@ -493,7 +493,7 @@ class ChucksHybridSearchRetriever: "[chunk_search] hybrid_search TOTAL in %.3fs docs=%d space=%d type=%s", time.perf_counter() - t0, len(final_docs), - search_space_id, + workspace_id, document_type, ) return final_docs diff --git a/surfsense_backend/app/retriever/documents_hybrid_search.py b/surfsense_backend/app/retriever/documents_hybrid_search.py index d856e93cf..9daa2d510 100644 --- a/surfsense_backend/app/retriever/documents_hybrid_search.py +++ b/surfsense_backend/app/retriever/documents_hybrid_search.py @@ -13,29 +13,29 @@ def _instrument_search(mode: str): def _decorator(func): @functools.wraps(func) async def _wrapper( - self, query_text: str, top_k: int, search_space_id: int, *args, **kwargs + self, query_text: str, top_k: int, workspace_id: int, *args, **kwargs ): t0 = time.perf_counter() with ot.kb_search_span( - search_space_id=search_space_id, + workspace_id=workspace_id, query_chars=len(query_text), extra={"search.surface": "documents", "search.mode": mode}, ) as sp: try: result = await func( - self, query_text, top_k, search_space_id, *args, **kwargs + self, query_text, top_k, workspace_id, *args, **kwargs ) except Exception: ot_metrics.record_kb_search_duration( (time.perf_counter() - t0) * 1000, - search_space_id=search_space_id, + workspace_id=workspace_id, surface="documents", ) raise sp.set_attribute("result.count", len(result)) ot_metrics.record_kb_search_duration( (time.perf_counter() - t0) * 1000, - search_space_id=search_space_id, + workspace_id=workspace_id, surface="documents", ) return result @@ -60,7 +60,7 @@ class DocumentHybridSearchRetriever: self, query_text: str, top_k: int, - search_space_id: int, + workspace_id: int, start_date: datetime | None = None, end_date: datetime | None = None, ) -> list: @@ -70,7 +70,7 @@ class DocumentHybridSearchRetriever: Args: query_text: The search query text top_k: Number of results to return - search_space_id: The search space ID to search within + workspace_id: The workspace ID to search within start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -90,11 +90,11 @@ class DocumentHybridSearchRetriever: embedding_model = config.embedding_model_instance query_embedding = embedding_model.embed(query_text) - # Build the query filtered by search space + # Build the query filtered by workspace query = ( select(Document) - .options(joinedload(Document.search_space)) - .where(Document.search_space_id == search_space_id) + .options(joinedload(Document.workspace)) + .where(Document.workspace_id == workspace_id) ) # Add time-based filtering if provided @@ -115,7 +115,7 @@ class DocumentHybridSearchRetriever: "[doc_search] vector_search in %.3fs results=%d space=%d", time.perf_counter() - t0, len(documents), - search_space_id, + workspace_id, ) return documents @@ -125,7 +125,7 @@ class DocumentHybridSearchRetriever: self, query_text: str, top_k: int, - search_space_id: int, + workspace_id: int, start_date: datetime | None = None, end_date: datetime | None = None, ) -> list: @@ -135,7 +135,7 @@ class DocumentHybridSearchRetriever: Args: query_text: The search query text top_k: Number of results to return - search_space_id: The search space ID to search within + workspace_id: The workspace ID to search within start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -154,11 +154,11 @@ class DocumentHybridSearchRetriever: tsvector = func.to_tsvector("english", Document.content) tsquery = func.plainto_tsquery("english", query_text) - # Build the query filtered by search space + # Build the query filtered by workspace query = ( select(Document) - .options(joinedload(Document.search_space)) - .where(Document.search_space_id == search_space_id) + .options(joinedload(Document.workspace)) + .where(Document.workspace_id == workspace_id) .where( tsvector.op("@@")(tsquery) ) # Only include results that match the query @@ -180,7 +180,7 @@ class DocumentHybridSearchRetriever: "[doc_search] full_text_search in %.3fs results=%d space=%d", time.perf_counter() - t0, len(documents), - search_space_id, + workspace_id, ) return documents @@ -190,7 +190,7 @@ class DocumentHybridSearchRetriever: self, query_text: str, top_k: int, - search_space_id: int, + workspace_id: int, document_type: str | list[str] | None = None, start_date: datetime | None = None, end_date: datetime | None = None, @@ -205,7 +205,7 @@ class DocumentHybridSearchRetriever: Args: query_text: The search query text top_k: Number of documents to return - search_space_id: The search space ID to search within + workspace_id: The workspace ID to search within document_type: Optional document type to filter results (e.g., "FILE", "CRAWLED_URL") start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -232,10 +232,10 @@ class DocumentHybridSearchRetriever: tsvector = func.to_tsvector("english", Document.content) tsquery = func.plainto_tsquery("english", query_text) - # Base conditions for document filtering - search space is required. + # Base conditions for document filtering - workspace is required. # Exclude documents in "deleting" state (background deletion in progress). base_conditions = [ - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, func.coalesce(Document.status["state"].astext, "ready") != "deleting", ] @@ -264,7 +264,7 @@ class DocumentHybridSearchRetriever: if end_date is not None: base_conditions.append(Document.updated_at <= end_date) - # CTE for semantic search filtered by search space + # CTE for semantic search filtered by workspace semantic_search_cte = select( Document.id, func.rank() @@ -278,7 +278,7 @@ class DocumentHybridSearchRetriever: .cte("semantic_search") ) - # CTE for keyword search filtered by search space + # CTE for keyword search filtered by workspace keyword_search_cte = ( select( Document.id, @@ -317,7 +317,7 @@ class DocumentHybridSearchRetriever: Document.id == func.coalesce(semantic_search_cte.c.id, keyword_search_cte.c.id), ) - .options(joinedload(Document.search_space)) + .options(joinedload(Document.workspace)) .order_by(text("score DESC")) .limit(top_k) ) @@ -419,7 +419,7 @@ class DocumentHybridSearchRetriever: "[doc_search] hybrid_search TOTAL in %.3fs docs=%d space=%d type=%s", time.perf_counter() - t0, len(final_docs), - search_space_id, + workspace_id, document_type, ) return final_docs diff --git a/surfsense_backend/app/routes/__init__.py b/surfsense_backend/app/routes/__init__.py index caa1a2546..1a5b182b8 100644 --- a/surfsense_backend/app/routes/__init__.py +++ b/surfsense_backend/app/routes/__init__.py @@ -1,6 +1,13 @@ from fastapi import APIRouter, Depends +# Import verb namespaces for their registration side effects before the door builds. +import app.capabilities.google_maps +import app.capabilities.google_search +import app.capabilities.reddit +import app.capabilities.web +import app.capabilities.youtube # noqa: F401 from app.automations.api import router as automations_router +from app.capabilities.core.access.rest import build_capabilities_router from app.file_storage.api import router as file_storage_router from app.gateway import require_gateway_enabled from app.notifications.api import router as notifications_router @@ -61,17 +68,17 @@ from .rbac_routes import router as rbac_router from .reports_routes import router as reports_router from .sandbox_routes import router as sandbox_router from .search_source_connectors_routes import router as search_source_connectors_router -from .search_spaces_routes import router as search_spaces_router from .slack_add_connector_route import router as slack_add_connector_router from .stripe_routes import router as stripe_router from .team_memory_routes import router as team_memory_router from .teams_add_connector_route import router as teams_add_connector_router from .video_presentations_routes import router as video_presentations_router +from .workspaces_routes import router as workspaces_router from .youtube_routes import router as youtube_router router = APIRouter() -router.include_router(search_spaces_router) +router.include_router(workspaces_router) router.include_router(rbac_router) # RBAC routes for roles, members, invites router.include_router(editor_router) router.include_router(export_router) @@ -92,7 +99,7 @@ router.include_router(agent_revert_router) # POST /threads/{id}/revert/{action_ router.include_router(agent_action_log_router) # GET /threads/{id}/actions router.include_router( agent_permissions_router -) # CRUD for /searchspaces/{id}/agent/permissions/rules +) # CRUD for /workspaces/{id}/agent/permissions/rules router.include_router(agent_flags_router) # GET /agent/flags router.include_router(sandbox_router) # Sandbox file downloads (Daytona) router.include_router(chat_comments_router) @@ -135,6 +142,7 @@ router.include_router(stripe_router) # Stripe checkout for additional page pack router.include_router(youtube_router) # YouTube playlist resolution router.include_router(prompts_router) router.include_router(memory_router) # User personal memory (memory.md style) -router.include_router(team_memory_router) # Search-space team memory +router.include_router(team_memory_router) # Workspace team memory router.include_router(automations_router) # Automations CRUD + run history router.include_router(file_storage_router) # Original file metadata + download +router.include_router(build_capabilities_router()) # Scraper-API capability doors (05) diff --git a/surfsense_backend/app/routes/agent_action_log_route.py b/surfsense_backend/app/routes/agent_action_log_route.py index 72086b8ae..582927d76 100644 --- a/surfsense_backend/app/routes/agent_action_log_route.py +++ b/surfsense_backend/app/routes/agent_action_log_route.py @@ -55,7 +55,7 @@ class AgentActionRead(BaseModel): id: int thread_id: int user_id: str | None - search_space_id: int + workspace_id: int tool_name: str args: dict[str, Any] | None result_id: str | None @@ -116,7 +116,7 @@ async def list_thread_actions( """List agent actions for a thread, newest first. Authorization: - * Caller must be a member of the thread's search space with + * Caller must be a member of the thread's workspace with ``CHATS_READ`` permission. Pagination: @@ -133,7 +133,7 @@ async def list_thread_actions( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_READ.value, "You don't have permission to view this thread's action log.", ) @@ -169,7 +169,7 @@ async def list_thread_actions( id=row.id, thread_id=row.thread_id, user_id=str(row.user_id) if row.user_id is not None else None, - search_space_id=row.search_space_id, + workspace_id=row.workspace_id, tool_name=row.tool_name, args=row.args, result_id=row.result_id, diff --git a/surfsense_backend/app/routes/agent_permissions_route.py b/surfsense_backend/app/routes/agent_permissions_route.py index 1eb8b1a37..d9136100d 100644 --- a/surfsense_backend/app/routes/agent_permissions_route.py +++ b/surfsense_backend/app/routes/agent_permissions_route.py @@ -3,12 +3,12 @@ Surfaces the permission rules consumed by :class:`PermissionMiddleware`. Rules are scoped at one of three levels: -* **Search-space wide** — both ``user_id`` and ``thread_id`` are NULL. +* **Workspace wide** — both ``user_id`` and ``thread_id`` are NULL. * **Per-user** — ``user_id`` set, ``thread_id`` NULL. * **Per-thread** — ``thread_id`` set (``user_id`` typically NULL). The middleware reads these rows at agent build time (see -``chat_deepagent.py``). UI lets a search-space owner curate them so +``chat_deepagent.py``). UI lets a workspace owner curate them so the agent can ask for approval / auto-deny / auto-allow specific tool patterns. @@ -36,7 +36,7 @@ from app.db import ( AgentPermissionRule, NewChatThread, Permission, - SearchSpace, + Workspace, get_async_session, ) from app.users import get_auth_context @@ -58,7 +58,7 @@ _PERMISSION_PATTERN = re.compile(r"^[a-zA-Z0-9_:.\-*]+$") class AgentPermissionRuleRead(BaseModel): id: int - search_space_id: int + workspace_id: int user_id: str | None thread_id: int | None permission: str @@ -122,7 +122,7 @@ def _validate_permission_string(value: str) -> str: def _to_read(row: AgentPermissionRule) -> AgentPermissionRuleRead: return AgentPermissionRuleRead( id=row.id, - search_space_id=row.search_space_id, + workspace_id=row.workspace_id, user_id=str(row.user_id) if row.user_id is not None else None, thread_id=row.thread_id, permission=row.permission, @@ -132,17 +132,17 @@ def _to_read(row: AgentPermissionRule) -> AgentPermissionRuleRead: ) -async def _ensure_search_space_membership_admin( - session: AsyncSession, auth: AuthContext, search_space_id: int +async def _ensure_workspace_membership_admin( + session: AsyncSession, auth: AuthContext, workspace_id: int ) -> None: """Curating agent rules == "settings" administration on the space.""" - space = await session.get(SearchSpace, search_space_id) + space = await session.get(Workspace, workspace_id) if space is None: - raise HTTPException(status_code=404, detail="Search space not found.") + raise HTTPException(status_code=404, detail="Workspace not found.") await check_permission( session, auth, - search_space_id, + workspace_id, Permission.SETTINGS_UPDATE.value, "You don't have permission to manage agent permission rules in this space.", ) @@ -154,21 +154,21 @@ async def _ensure_search_space_membership_admin( @router.get( - "/searchspaces/{search_space_id}/agent/permissions/rules", + "/workspaces/{workspace_id}/agent/permissions/rules", response_model=list[AgentPermissionRuleRead], ) async def list_rules( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ) -> list[AgentPermissionRuleRead]: user = auth.user _flag_guard() - await _ensure_search_space_membership_admin(session, user, search_space_id) + await _ensure_workspace_membership_admin(session, user, workspace_id) stmt = ( select(AgentPermissionRule) - .where(AgentPermissionRule.search_space_id == search_space_id) + .where(AgentPermissionRule.workspace_id == workspace_id) .order_by(AgentPermissionRule.created_at.desc(), AgentPermissionRule.id.desc()) ) rows = (await session.execute(stmt)).scalars().all() @@ -176,33 +176,33 @@ async def list_rules( @router.post( - "/searchspaces/{search_space_id}/agent/permissions/rules", + "/workspaces/{workspace_id}/agent/permissions/rules", response_model=AgentPermissionRuleRead, status_code=201, ) async def create_rule( - search_space_id: int, + workspace_id: int, payload: AgentPermissionRuleCreate, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ) -> AgentPermissionRuleRead: user = auth.user _flag_guard() - await _ensure_search_space_membership_admin(session, user, search_space_id) + await _ensure_workspace_membership_admin(session, user, workspace_id) permission = _validate_permission_string(payload.permission.strip()) pattern = payload.pattern.strip() or "*" if payload.thread_id is not None: thread = await session.get(NewChatThread, payload.thread_id) - if thread is None or thread.search_space_id != search_space_id: + if thread is None or thread.workspace_id != workspace_id: raise HTTPException( status_code=404, - detail="Thread not found in this search space.", + detail="Thread not found in this workspace.", ) row = AgentPermissionRule( - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=payload.user_id, thread_id=payload.thread_id, permission=permission, @@ -226,11 +226,11 @@ async def create_rule( @router.patch( - "/searchspaces/{search_space_id}/agent/permissions/rules/{rule_id}", + "/workspaces/{workspace_id}/agent/permissions/rules/{rule_id}", response_model=AgentPermissionRuleRead, ) async def update_rule( - search_space_id: int, + workspace_id: int, rule_id: int, payload: AgentPermissionRuleUpdate, session: AsyncSession = Depends(get_async_session), @@ -238,10 +238,10 @@ async def update_rule( ) -> AgentPermissionRuleRead: user = auth.user _flag_guard() - await _ensure_search_space_membership_admin(session, user, search_space_id) + await _ensure_workspace_membership_admin(session, user, workspace_id) row = await session.get(AgentPermissionRule, rule_id) - if row is None or row.search_space_id != search_space_id: + if row is None or row.workspace_id != workspace_id: raise HTTPException(status_code=404, detail="Rule not found.") if payload.pattern is not None: @@ -262,21 +262,21 @@ async def update_rule( @router.delete( - "/searchspaces/{search_space_id}/agent/permissions/rules/{rule_id}", + "/workspaces/{workspace_id}/agent/permissions/rules/{rule_id}", status_code=204, ) async def delete_rule( - search_space_id: int, + workspace_id: int, rule_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ) -> None: user = auth.user _flag_guard() - await _ensure_search_space_membership_admin(session, user, search_space_id) + await _ensure_workspace_membership_admin(session, user, workspace_id) row = await session.get(AgentPermissionRule, rule_id) - if row is None or row.search_space_id != search_space_id: + if row is None or row.workspace_id != workspace_id: raise HTTPException(status_code=404, detail="Rule not found.") await session.delete(row) diff --git a/surfsense_backend/app/routes/airtable_add_connector_route.py b/surfsense_backend/app/routes/airtable_add_connector_route.py index d5cbc2498..c34c7d2fb 100644 --- a/surfsense_backend/app/routes/airtable_add_connector_route.py +++ b/surfsense_backend/app/routes/airtable_add_connector_route.py @@ -86,7 +86,7 @@ async def connect_airtable( Initiate Airtable OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -317,7 +317,7 @@ async def airtable_callback( connector_type=SearchSourceConnectorType.AIRTABLE_CONNECTOR, is_indexable=False, config=credentials_dict, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) diff --git a/surfsense_backend/app/routes/anonymous_chat_routes.py b/surfsense_backend/app/routes/anonymous_chat_routes.py index f6f984c20..3ff2fd38a 100644 --- a/surfsense_backend/app/routes/anonymous_chat_routes.py +++ b/surfsense_backend/app/routes/anonymous_chat_routes.py @@ -337,11 +337,6 @@ async def stream_anonymous_chat( await TokenQuotaService.anon_release(session_key, ip_key, request_id) raise HTTPException(status_code=500, detail="Failed to create LLM instance") - # Server-side tool allow-list enforcement - anon_allowed_tools = {"web_search"} - client_disabled = set(body.disabled_tools) if body.disabled_tools else set() - enabled_for_agent = anon_allowed_tools - client_disabled - except HTTPException: await TokenQuotaService.anon_release_stream_slot(client_ip) raise @@ -369,15 +364,14 @@ async def stream_anonymous_chat( # Load the optional uploaded document as read-only context. anon_doc = await _load_anon_document(session_id) - # Minimal Q/A agent: web_search only (when enabled), no - # filesystem / persistence / subagents. The uploaded document - # is injected into the system prompt as read-only context. + # Minimal Q/A agent: no tools, no filesystem / persistence / + # subagents. The uploaded document is injected into the system + # prompt as read-only context. agent = await create_anonymous_chat_agent( llm=llm, checkpointer=checkpointer, anon_session_id=session_id, anon_doc=anon_doc, - enable_web_search="web_search" in enabled_for_agent, ) langchain_messages = [] diff --git a/surfsense_backend/app/routes/chat_comments_routes.py b/surfsense_backend/app/routes/chat_comments_routes.py index 2e1eb1d27..528fbaf38 100644 --- a/surfsense_backend/app/routes/chat_comments_routes.py +++ b/surfsense_backend/app/routes/chat_comments_routes.py @@ -101,9 +101,9 @@ async def remove_comment( @router.get("/mentions", response_model=MentionListResponse) async def list_mentions( - search_space_id: int | None = None, + workspace_id: int | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(require_session_context), ): """List mentions for the current user.""" - return await get_user_mentions(session, auth, search_space_id) + return await get_user_mentions(session, auth, workspace_id) diff --git a/surfsense_backend/app/routes/circleback_webhook_route.py b/surfsense_backend/app/routes/circleback_webhook_route.py index 4a5823645..11ddc3f95 100644 --- a/surfsense_backend/app/routes/circleback_webhook_route.py +++ b/surfsense_backend/app/routes/circleback_webhook_route.py @@ -2,7 +2,7 @@ Circleback Webhook Route This module provides a webhook endpoint for receiving meeting data from Circleback. -It processes the incoming webhook payload and saves it as a document in the specified search space. +It processes the incoming webhook payload and saves it as a document in the specified workspace. """ import logging @@ -212,9 +212,9 @@ def format_circleback_meeting_to_markdown(payload: CirclebackWebhookPayload) -> return "\n".join(lines) -@router.post("/webhooks/circleback/{search_space_id}") +@router.post("/webhooks/circleback/{workspace_id}") async def receive_circleback_webhook( - search_space_id: int, + workspace_id: int, payload: CirclebackWebhookPayload, session: AsyncSession = Depends(get_async_session), ): @@ -222,11 +222,11 @@ async def receive_circleback_webhook( Receive and process a Circleback webhook. This endpoint receives meeting data from Circleback and saves it as a document - in the specified search space. The meeting data is converted to Markdown format + in the specified workspace. The meeting data is converted to Markdown format and processed asynchronously. Args: - search_space_id: The ID of the search space to save the document to + workspace_id: The ID of the workspace to save the document to payload: The Circleback webhook payload containing meeting data session: Database session for looking up the connector @@ -239,13 +239,13 @@ async def receive_circleback_webhook( """ try: logger.info( - f"Received Circleback webhook for meeting {payload.id} in search space {search_space_id}" + f"Received Circleback webhook for meeting {payload.id} in workspace {workspace_id}" ) - # Look up the Circleback connector for this search space + # Look up the Circleback connector for this workspace connector_result = await session.execute( select(SearchSourceConnector.id).where( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.CIRCLEBACK_CONNECTOR, ) @@ -254,11 +254,11 @@ async def receive_circleback_webhook( if connector_id: logger.info( - f"Found Circleback connector {connector_id} for search space {search_space_id}" + f"Found Circleback connector {connector_id} for workspace {workspace_id}" ) else: logger.warning( - f"No Circleback connector found for search space {search_space_id}. " + f"No Circleback connector found for workspace {workspace_id}. " "Document will be created without connector_id." ) @@ -289,19 +289,19 @@ async def receive_circleback_webhook( meeting_name=payload.name, markdown_content=markdown_content, metadata=meeting_metadata, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, ) logger.info( - f"Queued Circleback meeting {payload.id} for processing in search space {search_space_id}" + f"Queued Circleback meeting {payload.id} for processing in workspace {workspace_id}" ) return { "status": "accepted", "message": f"Meeting '{payload.name}' queued for processing", "meeting_id": payload.id, - "search_space_id": search_space_id, + "workspace_id": workspace_id, } except Exception as e: @@ -312,9 +312,9 @@ async def receive_circleback_webhook( ) from e -@router.get("/webhooks/circleback/{search_space_id}/info") +@router.get("/webhooks/circleback/{workspace_id}/info") async def get_circleback_webhook_info( - search_space_id: int, + workspace_id: int, ): """ Get information about the Circleback webhook endpoint. @@ -323,7 +323,7 @@ async def get_circleback_webhook_info( webhook integration. Args: - search_space_id: The ID of the search space + workspace_id: The ID of the workspace Returns: Webhook configuration information @@ -332,11 +332,11 @@ async def get_circleback_webhook_info( # Construct the webhook URL base_url = getattr(config, "API_BASE_URL", "http://localhost:8000") - webhook_url = f"{base_url}/api/v1/webhooks/circleback/{search_space_id}" + webhook_url = f"{base_url}/api/v1/webhooks/circleback/{workspace_id}" return { "webhook_url": webhook_url, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "method": "POST", "content_type": "application/json", "description": "Use this URL in your Circleback automation to send meeting data to SurfSense", diff --git a/surfsense_backend/app/routes/clickup_add_connector_route.py b/surfsense_backend/app/routes/clickup_add_connector_route.py index 3be32b217..e6e23d57f 100644 --- a/surfsense_backend/app/routes/clickup_add_connector_route.py +++ b/surfsense_backend/app/routes/clickup_add_connector_route.py @@ -69,7 +69,7 @@ async def connect_clickup( Initiate ClickUp OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -290,10 +290,10 @@ async def clickup_callback( "_token_encrypted": True, } - # Check if connector already exists for this search space and user + # Check if connector already exists for this workspace and user existing_connector_result = await session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.CLICKUP_CONNECTOR, @@ -316,7 +316,7 @@ async def clickup_callback( connector_type=SearchSourceConnectorType.CLICKUP_CONNECTOR, is_indexable=False, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) diff --git a/surfsense_backend/app/routes/composio_routes.py b/surfsense_backend/app/routes/composio_routes.py index 410f90256..bdbbe5d38 100644 --- a/surfsense_backend/app/routes/composio_routes.py +++ b/surfsense_backend/app/routes/composio_routes.py @@ -41,7 +41,7 @@ from app.utils.connector_naming import ( get_base_name_for_type, ) from app.utils.oauth_security import OAuthStateManager -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access logger = logging.getLogger(__name__) @@ -108,7 +108,7 @@ async def initiate_composio_auth( Initiate Composio OAuth flow for a specific toolkit. Query params: - space_id: Search space ID to add connector to + space_id: Workspace ID to add connector to toolkit_id: Composio toolkit ID (e.g., "googledrive", "gmail", "googlecalendar") Returns: @@ -334,7 +334,7 @@ async def composio_callback( existing_connector_result = await session.execute( select(SearchSourceConnector).where( SearchSourceConnector.connector_type == connector_type, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.name == connector_name, ) @@ -395,7 +395,7 @@ async def composio_callback( name=connector_name, connector_type=connector_type, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, is_indexable=toolkit_id in INDEXABLE_TOOLKITS, ) @@ -461,7 +461,7 @@ async def reauth_composio_connector( after the user completes the OAuth flow again. Query params: - space_id: Search space ID the connector belongs to + space_id: Workspace ID the connector belongs to connector_id: ID of the existing Composio connector to re-authenticate return_url: Optional frontend path to redirect to after completion """ @@ -481,7 +481,7 @@ async def reauth_composio_connector( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type.in_(COMPOSIO_CONNECTOR_TYPES), ) ) @@ -594,7 +594,7 @@ async def composio_reauth_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, ) ) connector = result.scalars().first() @@ -683,7 +683,7 @@ async def list_composio_drive_folders( detail="Composio Google Drive connector not found or access denied", ) - await check_search_space_access(session, auth, connector.search_space_id) + await check_workspace_access(session, auth, connector.workspace_id) composio_connected_account_id = connector.config.get( "composio_connected_account_id" diff --git a/surfsense_backend/app/routes/confluence_add_connector_route.py b/surfsense_backend/app/routes/confluence_add_connector_route.py index cc9e681bf..d6aaaf268 100644 --- a/surfsense_backend/app/routes/confluence_add_connector_route.py +++ b/surfsense_backend/app/routes/confluence_add_connector_route.py @@ -85,7 +85,7 @@ async def connect_confluence( Initiate Confluence OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -309,7 +309,7 @@ async def confluence_callback( sa_select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.CONFLUENCE_CONNECTOR, ) @@ -375,7 +375,7 @@ async def confluence_callback( connector_type=SearchSourceConnectorType.CONFLUENCE_CONNECTOR, is_indexable=True, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) @@ -437,7 +437,7 @@ async def reauth_confluence( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.CONFLUENCE_CONNECTOR, ) diff --git a/surfsense_backend/app/routes/discord_add_connector_route.py b/surfsense_backend/app/routes/discord_add_connector_route.py index 1da0987b0..e29617f93 100644 --- a/surfsense_backend/app/routes/discord_add_connector_route.py +++ b/surfsense_backend/app/routes/discord_add_connector_route.py @@ -30,7 +30,8 @@ from app.utils.connector_naming import ( generate_unique_connector_name, ) from app.utils.oauth_security import OAuthStateManager, TokenEncryption -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access +from app.utils.validators import raise_if_connector_deprecated logger = logging.getLogger(__name__) @@ -86,7 +87,7 @@ async def connect_discord( Initiate Discord OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -94,6 +95,8 @@ async def connect_discord( """ user = auth.user try: + raise_if_connector_deprecated(SearchSourceConnectorType.DISCORD_CONNECTOR) + if not space_id: raise HTTPException(status_code=400, detail="space_id is required") @@ -333,7 +336,7 @@ async def discord_callback( connector_type=SearchSourceConnectorType.DISCORD_CONNECTOR, is_indexable=False, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) @@ -652,7 +655,7 @@ async def get_discord_channels( detail="Discord connector not found or access denied", ) - await check_search_space_access(session, auth, connector.search_space_id) + await check_workspace_access(session, auth, connector.workspace_id) # Get credentials and decrypt bot token credentials = DiscordAuthCredentialsBase.from_dict(connector.config) diff --git a/surfsense_backend/app/routes/documents_routes.py b/surfsense_backend/app/routes/documents_routes.py index accf3b18f..a5d31f07c 100644 --- a/surfsense_backend/app/routes/documents_routes.py +++ b/surfsense_backend/app/routes/documents_routes.py @@ -16,8 +16,8 @@ from app.db import ( DocumentVersion, Folder, Permission, - SearchSpace, - SearchSpaceMembership, + Workspace, + WorkspaceMembership, get_async_session, ) from app.schemas import ( @@ -72,9 +72,9 @@ async def create_documents( await check_permission( session, auth, - request.search_space_id, + request.workspace_id, Permission.DOCUMENTS_CREATE.value, - "You don't have permission to create documents in this search space", + "You don't have permission to create documents in this workspace", ) if request.document_type == DocumentType.EXTENSION: @@ -96,14 +96,7 @@ async def create_documents( "pageContent": individual_document.pageContent, } process_extension_document_task.delay( - document_dict, request.search_space_id, str(user.id) - ) - elif request.document_type == DocumentType.YOUTUBE_VIDEO: - from app.tasks.celery_tasks.document_tasks import process_youtube_video_task - - for url in request.content: - process_youtube_video_task.delay( - url, request.search_space_id, str(user.id) + document_dict, request.workspace_id, str(user.id) ) else: raise HTTPException(status_code=400, detail="Invalid document type") @@ -125,7 +118,7 @@ async def create_documents( @router.post("/documents/fileupload") async def create_documents_file_upload( files: list[UploadFile], - search_space_id: int = Form(...), + workspace_id: int = Form(...), use_vision_llm: bool = Form(False), processing_mode: str = Form("basic"), session: AsyncSession = Depends(get_async_session), @@ -162,9 +155,9 @@ async def create_documents_file_upload( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_CREATE.value, - "You don't have permission to create documents in this search space", + "You don't have permission to create documents in this workspace", ) if not files: @@ -216,7 +209,7 @@ async def create_documents_file_upload( for temp_path, filename, file_size, content_type in saved_files: try: unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.FILE, filename, search_space_id + DocumentType.FILE, filename, workspace_id ) existing = await check_document_by_unique_identifier( @@ -244,7 +237,7 @@ async def create_documents_file_upload( continue document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=filename if filename != "unknown" else "Uploaded File", document_type=DocumentType.FILE, document_metadata={ @@ -288,7 +281,7 @@ async def create_documents_file_upload( await store_document_file( session, document_id=document.id, - search_space_id=search_space_id, + workspace_id=workspace_id, data=original_bytes, filename=filename, mime_type=content_type, @@ -308,7 +301,7 @@ async def create_documents_file_upload( document_id=document.id, temp_path=temp_path, filename=filename, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=str(user.id), use_vision_llm=use_vision_llm, processing_mode=validated_mode.value, @@ -336,7 +329,7 @@ async def read_documents( skip: int | None = None, page: int | None = None, page_size: int = 50, - search_space_id: int | None = None, + workspace_id: int | None = None, document_types: str | None = None, folder_id: int | str | None = None, sort_by: str = "created_at", @@ -347,13 +340,13 @@ async def read_documents( user = auth.user """ List documents the user has access to, with optional filtering and pagination. - Requires DOCUMENTS_READ permission for the search space(s). + Requires DOCUMENTS_READ permission for the workspace(s). Args: skip: Absolute number of items to skip from the beginning. If provided, it takes precedence over 'page'. page: Zero-based page index used when 'skip' is not provided. page_size: Number of items per page (default: 50). Use -1 to return all remaining items after the offset. - search_space_id: If provided, restrict results to a specific search space. + workspace_id: If provided, restrict results to a specific workspace. document_types: Comma-separated list of document types to filter by (e.g., "EXTENSION,FILE,SLACK_CONNECTOR"). session: Database session (injected). user: Current authenticated user (injected). @@ -363,45 +356,45 @@ async def read_documents( Notes: - If both 'skip' and 'page' are provided, 'skip' is used. - - Results are scoped to documents in search spaces the user has membership in. + - Results are scoped to documents in workspaces the user has membership in. """ try: from sqlalchemy import func - # If specific search_space_id, check permission - if search_space_id is not None: + # If specific workspace_id, check permission + if workspace_id is not None: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) query = ( select(Document) .options(selectinload(Document.created_by)) - .filter(Document.search_space_id == search_space_id) + .filter(Document.workspace_id == workspace_id) ) count_query = ( select(func.count()) .select_from(Document) - .filter(Document.search_space_id == search_space_id) + .filter(Document.workspace_id == workspace_id) ) else: - # Get documents from all search spaces user has membership in + # Get documents from all workspaces user has membership in query = ( select(Document) .options(selectinload(Document.created_by)) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) ) count_query = ( select(func.count()) .select_from(Document) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) ) # Filter by document_types if provided @@ -483,7 +476,7 @@ async def read_documents( unique_identifier_hash=doc.unique_identifier_hash, created_at=doc.created_at, updated_at=doc.updated_at, - search_space_id=doc.search_space_id, + workspace_id=doc.workspace_id, folder_id=doc.folder_id, created_by_id=doc.created_by_id, created_by_name=created_by_name, @@ -519,22 +512,22 @@ async def search_documents( skip: int | None = None, page: int | None = None, page_size: int = 50, - search_space_id: int | None = None, + workspace_id: int | None = None, document_types: str | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ - Search documents by title substring, optionally filtered by search_space_id and document_types. - Requires DOCUMENTS_READ permission for the search space(s). + Search documents by title substring, optionally filtered by workspace_id and document_types. + Requires DOCUMENTS_READ permission for the workspace(s). Args: title: Case-insensitive substring to match against document titles. Required. skip: Absolute number of items to skip from the beginning. If provided, it takes precedence over 'page'. Default: None. page: Zero-based page index used when 'skip' is not provided. Default: None. page_size: Number of items per page. Use -1 to return all remaining items after the offset. Default: 50. - search_space_id: Filter results to a specific search space. Default: None. + workspace_id: Filter results to a specific workspace. Default: None. document_types: Comma-separated list of document types to filter by (e.g., "EXTENSION,FILE,SLACK_CONNECTOR"). session: Database session (injected). user: Current authenticated user (injected). @@ -549,40 +542,40 @@ async def search_documents( try: from sqlalchemy import func - # If specific search_space_id, check permission - if search_space_id is not None: + # If specific workspace_id, check permission + if workspace_id is not None: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) query = ( select(Document) .options(selectinload(Document.created_by)) - .filter(Document.search_space_id == search_space_id) + .filter(Document.workspace_id == workspace_id) ) count_query = ( select(func.count()) .select_from(Document) - .filter(Document.search_space_id == search_space_id) + .filter(Document.workspace_id == workspace_id) ) else: - # Get documents from all search spaces user has membership in + # Get documents from all workspaces user has membership in query = ( select(Document) .options(selectinload(Document.created_by)) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) ) count_query = ( select(func.count()) .select_from(Document) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) ) # Only search by title (case-insensitive) @@ -644,7 +637,7 @@ async def search_documents( unique_identifier_hash=doc.unique_identifier_hash, created_at=doc.created_at, updated_at=doc.updated_at, - search_space_id=doc.search_space_id, + workspace_id=doc.workspace_id, folder_id=doc.folder_id, created_by_id=doc.created_by_id, created_by_name=created_by_name, @@ -674,9 +667,105 @@ async def search_documents( ) from e +class SemanticSearchRequest(PydanticBaseModel): + """Request body for hybrid (semantic + keyword) knowledge-base search.""" + + workspace_id: int + query: str = Field(min_length=1) + top_k: int = Field(default=5, ge=1, le=20) + document_types: list[str] | None = Field( + default=None, + description="Optional DocumentType names to restrict the search to.", + ) + + +class SemanticSearchChunk(PydanticBaseModel): + content: str + position: int + score: float + + +class SemanticSearchHit(PydanticBaseModel): + document_id: int + title: str + document_type: str | None = None + score: float + chunks: list[SemanticSearchChunk] + + +class SemanticSearchResponse(PydanticBaseModel): + items: list[SemanticSearchHit] + + +@router.post("/documents/search-semantic", response_model=SemanticSearchResponse) +async def search_documents_semantic( + request: SemanticSearchRequest, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), +): + """Hybrid semantic + keyword search over a workspace's knowledge base. + + Thin REST door onto the same retriever the chat agent uses: returns the most + relevant documents with their matching passages, ranked by relevance. + Requires DOCUMENTS_READ permission for the workspace. + """ + # Local import: the retriever pulls in the embedding model + agent stack, + # so keep it out of module import (mirrors the celery-task imports here). + from app.agents.chat.multi_agent_chat.shared.retrieval.hybrid_search import ( + search_chunks, + ) + from app.agents.chat.multi_agent_chat.shared.retrieval.models import SearchScope + + await check_permission( + session, + auth, + request.workspace_id, + Permission.DOCUMENTS_READ.value, + "You don't have permission to read documents in this workspace", + ) + + scope = SearchScope( + document_types=tuple(request.document_types) + if request.document_types + else None, + ) + try: + hits = await search_chunks( + session, + workspace_id=request.workspace_id, + query=request.query, + scope=scope, + top_k=request.top_k, + ) + except Exception as e: + raise HTTPException( + status_code=500, detail=f"Semantic search failed: {e!s}" + ) from e + + return SemanticSearchResponse( + items=[ + SemanticSearchHit( + document_id=hit.document_id, + title=hit.title, + document_type=hit.document_type, + score=hit.score, + chunks=[ + SemanticSearchChunk( + content=chunk.content, + position=chunk.position, + score=chunk.score, + ) + for chunk in hit.chunks + ], + ) + for hit in hits + ] + ) + + @router.get("/documents/search/titles", response_model=DocumentTitleSearchResponse) async def search_document_titles( - search_space_id: int, + workspace_id: int, title: str = "", page: int = 0, page_size: int = 20, @@ -691,7 +780,7 @@ async def search_document_titles( Results are ordered by relevance using trigram similarity scores. Args: - search_space_id: The search space to search in. Required. + workspace_id: The workspace to search in. Required. title: Search query (case-insensitive). If empty or < 2 chars, returns recent documents. page: Zero-based page index. Default: 0. page_size: Number of items per page. Default: 20. @@ -704,13 +793,13 @@ async def search_document_titles( from sqlalchemy import desc, func, or_ try: - # Check permission for the search space + # Check permission for the workspace await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) # Base query - only select lightweight fields @@ -718,7 +807,7 @@ async def search_document_titles( Document.id, Document.title, Document.document_type, - ).filter(Document.search_space_id == search_space_id) + ).filter(Document.workspace_id == workspace_id) # If query is too short, return recent documents ordered by updated_at if len(title.strip()) < 2: @@ -782,7 +871,7 @@ async def search_document_titles( @router.get("/documents/by-virtual-path", response_model=DocumentTitleRead) async def get_document_by_virtual_path( - search_space_id: int, + workspace_id: int, virtual_path: str, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -809,14 +898,14 @@ async def get_document_by_virtual_path( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) document = await virtual_path_to_doc( session, - search_space_id=search_space_id, + workspace_id=workspace_id, virtual_path=virtual_path, ) if document is None: @@ -839,13 +928,13 @@ async def get_document_by_virtual_path( @router.get("/documents/status", response_model=DocumentStatusBatchResponse) async def get_documents_status( - search_space_id: int, + workspace_id: int, document_ids: str, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - Batch status endpoint for documents in a search space. + Batch status endpoint for documents in a workspace. Returns lightweight status info for the provided document IDs, intended for polling async ETL progress in chat upload flows. @@ -854,9 +943,9 @@ async def get_documents_status( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) # Parse comma-separated IDs (e.g. "1,2,3") @@ -878,7 +967,7 @@ async def get_documents_status( result = await session.execute( select(Document).filter( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.id.in_(parsed_ids), ) ) @@ -907,17 +996,17 @@ async def get_documents_status( @router.get("/documents/type-counts") async def get_document_type_counts( - search_space_id: int | None = None, + workspace_id: int | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ - Get counts of documents by type for search spaces the user has access to. - Requires DOCUMENTS_READ permission for the search space(s). + Get counts of documents by type for workspaces the user has access to. + Requires DOCUMENTS_READ permission for the workspace(s). Args: - search_space_id: If provided, restrict counts to a specific search space. + workspace_id: If provided, restrict counts to a specific workspace. session: Database session (injected). user: Current authenticated user (injected). @@ -927,27 +1016,27 @@ async def get_document_type_counts( try: from sqlalchemy import func - if search_space_id is not None: - # Check permission for specific search space + if workspace_id is not None: + # Check permission for specific workspace await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) query = ( select(Document.document_type, func.count(Document.id)) - .filter(Document.search_space_id == search_space_id) + .filter(Document.workspace_id == workspace_id) .group_by(Document.document_type) ) else: - # Get counts from all search spaces user has membership in + # Get counts from all workspaces user has membership in query = ( select(Document.document_type, func.count(Document.id)) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) .group_by(Document.document_type) ) @@ -1001,9 +1090,9 @@ async def get_document_by_chunk_id( await check_permission( session, auth, - document.search_space_id, + document.workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) total_result = await session.execute( @@ -1048,7 +1137,7 @@ async def get_document_by_chunk_id( unique_identifier_hash=document.unique_identifier_hash, created_at=document.created_at, updated_at=document.updated_at, - search_space_id=document.search_space_id, + workspace_id=document.workspace_id, chunks=windowed_chunks, total_chunks=total_chunks, chunk_start_index=start, @@ -1063,7 +1152,7 @@ async def get_document_by_chunk_id( @router.get("/documents/watched-folders", response_model=list[FolderRead]) async def get_watched_folders( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): @@ -1071,16 +1160,16 @@ async def get_watched_folders( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) folders = ( ( await session.execute( select(Folder).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.parent_id.is_(None), Folder.folder_metadata.isnot(None), Folder.folder_metadata["watched"].astext == "true", @@ -1126,9 +1215,9 @@ async def get_document_chunks_paginated( await check_permission( session, auth, - document.search_space_id, + document.workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) total_result = await session.execute( @@ -1171,7 +1260,7 @@ async def read_document( ): """ Get a specific document by ID. - Requires DOCUMENTS_READ permission for the search space. + Requires DOCUMENTS_READ permission for the workspace. """ try: result = await session.execute( @@ -1184,13 +1273,13 @@ async def read_document( status_code=404, detail=f"Document with id {document_id} not found" ) - # Check permission for the search space + # Check permission for the workspace await check_permission( session, auth, - document.search_space_id, + document.workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) raw_content = document.content or "" @@ -1205,7 +1294,7 @@ async def read_document( unique_identifier_hash=document.unique_identifier_hash, created_at=document.created_at, updated_at=document.updated_at, - search_space_id=document.search_space_id, + workspace_id=document.workspace_id, folder_id=document.folder_id, ) except HTTPException: @@ -1225,7 +1314,7 @@ async def update_document( ): """ Update a document. - Requires DOCUMENTS_UPDATE permission for the search space. + Requires DOCUMENTS_UPDATE permission for the workspace. """ try: result = await session.execute( @@ -1238,13 +1327,13 @@ async def update_document( status_code=404, detail=f"Document with id {document_id} not found" ) - # Check permission for the search space + # Check permission for the workspace await check_permission( session, auth, - db_document.search_space_id, + db_document.workspace_id, Permission.DOCUMENTS_UPDATE.value, - "You don't have permission to update documents in this search space", + "You don't have permission to update documents in this workspace", ) update_data = document_update.model_dump(exclude_unset=True) @@ -1264,7 +1353,7 @@ async def update_document( unique_identifier_hash=db_document.unique_identifier_hash, created_at=db_document.created_at, updated_at=db_document.updated_at, - search_space_id=db_document.search_space_id, + workspace_id=db_document.workspace_id, folder_id=db_document.folder_id, ) except HTTPException: @@ -1284,7 +1373,7 @@ async def delete_document( ): """ Delete a document. - Requires DOCUMENTS_DELETE permission for the search space. + Requires DOCUMENTS_DELETE permission for the workspace. Documents in "processing" state cannot be deleted. Heavy cascade deletion runs asynchronously via Celery so the API @@ -1313,13 +1402,13 @@ async def delete_document( detail="Document is already being deleted.", ) - # Check permission for the search space + # Check permission for the workspace await check_permission( session, auth, - document.search_space_id, + document.workspace_id, Permission.DOCUMENTS_DELETE.value, - "You don't have permission to delete documents in this search space", + "You don't have permission to delete documents in this workspace", ) # Mark the document as "deleting" so it's excluded from searches, @@ -1371,7 +1460,7 @@ async def list_document_versions( raise HTTPException(status_code=404, detail="Document not found") await check_permission( - session, user, document.search_space_id, Permission.DOCUMENTS_READ.value + session, user, document.workspace_id, Permission.DOCUMENTS_READ.value ) versions = ( @@ -1413,7 +1502,7 @@ async def get_document_version( raise HTTPException(status_code=404, detail="Document not found") await check_permission( - session, user, document.search_space_id, Permission.DOCUMENTS_READ.value + session, user, document.workspace_id, Permission.DOCUMENTS_READ.value ) version = ( @@ -1452,7 +1541,7 @@ async def restore_document_version( raise HTTPException(status_code=404, detail="Document not found") await check_permission( - session, user, document.search_space_id, Permission.DOCUMENTS_UPDATE.value + session, user, document.workspace_id, Permission.DOCUMENTS_UPDATE.value ) version = ( @@ -1503,20 +1592,20 @@ _MAX_MTIME_CHECK_FILES = 10_000 class FolderMtimeCheckRequest(PydanticBaseModel): folder_name: str - search_space_id: int + workspace_id: int files: list[FolderMtimeCheckFile] = Field(max_length=_MAX_MTIME_CHECK_FILES) class FolderUnlinkRequest(PydanticBaseModel): folder_name: str - search_space_id: int + workspace_id: int root_folder_id: int | None = None relative_paths: list[str] class FolderSyncFinalizeRequest(PydanticBaseModel): folder_name: str - search_space_id: int + workspace_id: int root_folder_id: int | None = None all_relative_paths: list[str] @@ -1537,16 +1626,16 @@ async def folder_mtime_check( await check_permission( session, auth, - request.search_space_id, + request.workspace_id, Permission.DOCUMENTS_CREATE.value, - "You don't have permission to create documents in this search space", + "You don't have permission to create documents in this workspace", ) uid_hashes = {} for f in request.files: uid = f"{request.folder_name}:{f.relative_path}" uid_hash = compute_identifier_hash( - DocumentType.LOCAL_FOLDER_FILE.value, uid, request.search_space_id + DocumentType.LOCAL_FOLDER_FILE.value, uid, request.workspace_id ) uid_hashes[uid_hash] = f @@ -1589,7 +1678,7 @@ async def folder_mtime_check( async def folder_upload( files: list[UploadFile], folder_name: str = Form(...), - search_space_id: int = Form(...), + workspace_id: int = Form(...), relative_paths: str = Form(...), root_folder_id: int | None = Form(None), use_vision_llm: bool = Form(False), @@ -1613,9 +1702,9 @@ async def folder_upload( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_CREATE.value, - "You don't have permission to create documents in this search space", + "You don't have permission to create documents in this workspace", ) if not files: @@ -1655,9 +1744,9 @@ async def folder_upload( if root_folder_id: root_folder = await session.get(Folder, root_folder_id) - if not root_folder or root_folder.search_space_id != search_space_id: + if not root_folder or root_folder.workspace_id != workspace_id: raise HTTPException( - status_code=404, detail="Root folder not found in this search space" + status_code=404, detail="Root folder not found in this workspace" ) if not root_folder_id: @@ -1671,7 +1760,7 @@ async def folder_upload( select(Folder).where( Folder.name == folder_name, Folder.parent_id.is_(None), - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, ) ) ).scalar_one_or_none() @@ -1682,7 +1771,7 @@ async def folder_upload( else: root_folder = Folder( name=folder_name, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=str(user.id), position="a0", folder_metadata=watched_metadata, @@ -1721,7 +1810,7 @@ async def folder_upload( ) index_uploaded_folder_files_task.delay( - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=str(user.id), folder_name=folder_name, root_folder_id=root_folder_id, @@ -1756,9 +1845,9 @@ async def folder_unlink( await check_permission( session, auth, - request.search_space_id, + request.workspace_id, Permission.DOCUMENTS_DELETE.value, - "You don't have permission to delete documents in this search space", + "You don't have permission to delete documents in this workspace", ) deleted_count = 0 @@ -1768,7 +1857,7 @@ async def folder_unlink( uid_hash = compute_identifier_hash( DocumentType.LOCAL_FOLDER_FILE.value, unique_id, - request.search_space_id, + request.workspace_id, ) existing = ( @@ -1813,9 +1902,9 @@ async def folder_sync_finalize( await check_permission( session, auth, - request.search_space_id, + request.workspace_id, Permission.DOCUMENTS_DELETE.value, - "You don't have permission to delete documents in this search space", + "You don't have permission to delete documents in this workspace", ) if not request.root_folder_id: @@ -1829,7 +1918,7 @@ async def folder_sync_finalize( uid_hash = compute_identifier_hash( DocumentType.LOCAL_FOLDER_FILE.value, unique_id, - request.search_space_id, + request.workspace_id, ) seen_hashes.add(uid_hash) @@ -1838,7 +1927,7 @@ async def folder_sync_finalize( await session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == request.search_space_id, + Document.workspace_id == request.workspace_id, Document.folder_id.in_(subtree_ids), ) ) @@ -1866,7 +1955,7 @@ async def folder_sync_finalize( await _cleanup_empty_folders( session, request.root_folder_id, - request.search_space_id, + request.workspace_id, existing_dirs, folder_mapping, subtree_ids=subtree_ids, diff --git a/surfsense_backend/app/routes/dropbox_add_connector_route.py b/surfsense_backend/app/routes/dropbox_add_connector_route.py index 6a9284371..d8b6d2072 100644 --- a/surfsense_backend/app/routes/dropbox_add_connector_route.py +++ b/surfsense_backend/app/routes/dropbox_add_connector_route.py @@ -36,7 +36,7 @@ from app.utils.connector_naming import ( generate_unique_connector_name, ) from app.utils.oauth_security import OAuthStateManager, TokenEncryption -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access logger = logging.getLogger(__name__) router = APIRouter() @@ -124,7 +124,7 @@ async def reauth_dropbox( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.DROPBOX_CONNECTOR, ) @@ -304,7 +304,7 @@ async def dropbox_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.DROPBOX_CONNECTOR, ) @@ -372,7 +372,7 @@ async def dropbox_callback( connector_type=SearchSourceConnectorType.DROPBOX_CONNECTOR, is_indexable=True, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) @@ -431,7 +431,7 @@ async def list_dropbox_folders( status_code=404, detail="Dropbox connector not found or access denied" ) - await check_search_space_access(session, auth, connector.search_space_id) + await check_workspace_access(session, auth, connector.workspace_id) dropbox_client = DropboxClient(session, connector_id) items, error = await list_folder_contents(dropbox_client, path=parent_path) diff --git a/surfsense_backend/app/routes/editor_routes.py b/surfsense_backend/app/routes/editor_routes.py index 0bc1dd45f..c0776b7fc 100644 --- a/surfsense_backend/app/routes/editor_routes.py +++ b/surfsense_backend/app/routes/editor_routes.py @@ -43,9 +43,9 @@ EDITOR_PLATE_MAX_BYTES = 1 * 1024 * 1024 EDITOR_PLATE_MAX_LINES = 5000 -@router.get("/search-spaces/{search_space_id}/documents/{document_id}/editor-content") +@router.get("/workspaces/{workspace_id}/documents/{document_id}/editor-content") async def get_editor_content( - search_space_id: int, + workspace_id: int, document_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -62,15 +62,15 @@ async def get_editor_content( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) result = await session.execute( select(Document).filter( Document.id == document_id, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) document = result.scalars().first() @@ -172,11 +172,9 @@ async def get_editor_content( return _build_response(markdown_content) -@router.get( - "/search-spaces/{search_space_id}/documents/{document_id}/download-markdown" -) +@router.get("/workspaces/{workspace_id}/documents/{document_id}/download-markdown") async def download_document_markdown( - search_space_id: int, + workspace_id: int, document_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -188,15 +186,15 @@ async def download_document_markdown( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) result = await session.execute( select(Document).filter( Document.id == document_id, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) document = result.scalars().first() @@ -239,9 +237,9 @@ async def download_document_markdown( ) -@router.post("/search-spaces/{search_space_id}/documents/{document_id}/save") +@router.post("/workspaces/{workspace_id}/documents/{document_id}/save") async def save_document( - search_space_id: int, + workspace_id: int, document_id: int, data: dict[str, Any], session: AsyncSession = Depends(get_async_session), @@ -262,15 +260,15 @@ async def save_document( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_UPDATE.value, - "You don't have permission to update documents in this search space", + "You don't have permission to update documents in this workspace", ) result = await session.execute( select(Document).filter( Document.id == document_id, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) document = result.scalars().first() @@ -324,9 +322,9 @@ async def save_document( } -@router.get("/search-spaces/{search_space_id}/documents/{document_id}/export") +@router.get("/workspaces/{workspace_id}/documents/{document_id}/export") async def export_document( - search_space_id: int, + workspace_id: int, document_id: int, format: ExportFormat = Query( ExportFormat.PDF, @@ -339,15 +337,15 @@ async def export_document( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read documents in this search space", + "You don't have permission to read documents in this workspace", ) result = await session.execute( select(Document).filter( Document.id == document_id, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) ) document = result.scalars().first() diff --git a/surfsense_backend/app/routes/export_routes.py b/surfsense_backend/app/routes/export_routes.py index 70df33b2e..19d4d301e 100644 --- a/surfsense_backend/app/routes/export_routes.py +++ b/surfsense_backend/app/routes/export_routes.py @@ -18,9 +18,9 @@ logger = logging.getLogger(__name__) router = APIRouter() -@router.get("/search-spaces/{search_space_id}/export") +@router.get("/workspaces/{workspace_id}/export") async def export_knowledge_base( - search_space_id: int, + workspace_id: int, folder_id: int | None = Query( None, description="Export only this folder's subtree" ), @@ -31,13 +31,13 @@ async def export_knowledge_base( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to export documents in this search space", + "You don't have permission to export documents in this workspace", ) try: - result = await build_export_zip(session, search_space_id, folder_id) + result = await build_export_zip(session, workspace_id, folder_id) except ValueError as e: raise HTTPException(status_code=404, detail=str(e)) from None diff --git a/surfsense_backend/app/routes/folders_routes.py b/surfsense_backend/app/routes/folders_routes.py index 1da0c9b0e..3e238b7e5 100644 --- a/surfsense_backend/app/routes/folders_routes.py +++ b/surfsense_backend/app/routes/folders_routes.py @@ -42,32 +42,32 @@ async def create_folder( await check_permission( session, auth, - request.search_space_id, + request.workspace_id, Permission.DOCUMENTS_CREATE.value, - "You don't have permission to create folders in this search space", + "You don't have permission to create folders in this workspace", ) if request.parent_id is not None: parent = await session.get(Folder, request.parent_id) if not parent: raise HTTPException(status_code=404, detail="Parent folder not found") - if parent.search_space_id != request.search_space_id: + if parent.workspace_id != request.workspace_id: raise HTTPException( status_code=400, - detail="Parent folder belongs to a different search space", + detail="Parent folder belongs to a different workspace", ) await validate_folder_depth(session, request.parent_id) position = await generate_folder_position( - session, request.search_space_id, request.parent_id + session, request.workspace_id, request.parent_id ) folder = Folder( name=request.name, position=position, parent_id=request.parent_id, - search_space_id=request.search_space_id, + workspace_id=request.workspace_id, created_by_id=user.id, ) session.add(folder) @@ -91,23 +91,23 @@ async def create_folder( @router.get("/folders", response_model=list[FolderRead]) async def list_folders( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): - """List all folders in a search space (flat). Requires DOCUMENTS_READ permission.""" + """List all folders in a workspace (flat). Requires DOCUMENTS_READ permission.""" try: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read folders in this search space", + "You don't have permission to read folders in this workspace", ) result = await session.execute( select(Folder) - .where(Folder.search_space_id == search_space_id) + .where(Folder.workspace_id == workspace_id) .order_by(Folder.position) ) return result.scalars().all() @@ -135,9 +135,9 @@ async def get_folder( await check_permission( session, auth, - folder.search_space_id, + folder.workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read folders in this search space", + "You don't have permission to read folders in this workspace", ) return folder @@ -165,9 +165,9 @@ async def get_folder_breadcrumb( await check_permission( session, auth, - folder.search_space_id, + folder.workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read folders in this search space", + "You don't have permission to read folders in this workspace", ) result = await session.execute( @@ -208,9 +208,9 @@ async def stop_watching_folder( await check_permission( session, auth, - folder.search_space_id, + folder.workspace_id, Permission.DOCUMENTS_UPDATE.value, - "You don't have permission to update folders in this search space", + "You don't have permission to update folders in this workspace", ) if folder.folder_metadata and isinstance(folder.folder_metadata, dict): @@ -237,9 +237,9 @@ async def update_folder( await check_permission( session, auth, - folder.search_space_id, + folder.workspace_id, Permission.DOCUMENTS_UPDATE.value, - "You don't have permission to update folders in this search space", + "You don't have permission to update folders in this workspace", ) folder.name = request.name @@ -277,9 +277,9 @@ async def move_folder( await check_permission( session, auth, - folder.search_space_id, + folder.workspace_id, Permission.DOCUMENTS_UPDATE.value, - "You don't have permission to move folders in this search space", + "You don't have permission to move folders in this workspace", ) if request.new_parent_id is not None: @@ -288,10 +288,10 @@ async def move_folder( raise HTTPException( status_code=404, detail="Target parent folder not found" ) - if new_parent.search_space_id != folder.search_space_id: + if new_parent.workspace_id != folder.workspace_id: raise HTTPException( status_code=400, - detail="Cannot move folder to a different search space", + detail="Cannot move folder to a different workspace", ) await check_no_circular_reference(session, folder_id, request.new_parent_id) @@ -299,7 +299,7 @@ async def move_folder( await validate_folder_depth(session, request.new_parent_id, subtree_depth) position = await generate_folder_position( - session, folder.search_space_id, request.new_parent_id + session, folder.workspace_id, request.new_parent_id ) folder.parent_id = request.new_parent_id folder.position = position @@ -337,14 +337,14 @@ async def reorder_folder( await check_permission( session, auth, - folder.search_space_id, + folder.workspace_id, Permission.DOCUMENTS_UPDATE.value, - "You don't have permission to reorder folders in this search space", + "You don't have permission to reorder folders in this workspace", ) position = await generate_folder_position( session, - folder.search_space_id, + folder.workspace_id, folder.parent_id, before_position=request.before_position, after_position=request.after_position, @@ -378,9 +378,9 @@ async def delete_folder( await check_permission( session, auth, - folder.search_space_id, + folder.workspace_id, Permission.DOCUMENTS_DELETE.value, - "You don't have permission to delete folders in this search space", + "You don't have permission to delete folders in this workspace", ) subtree_ids = await get_folder_subtree_ids(session, folder_id) @@ -455,19 +455,19 @@ async def move_document( await check_permission( session, auth, - document.search_space_id, + document.workspace_id, Permission.DOCUMENTS_UPDATE.value, - "You don't have permission to move documents in this search space", + "You don't have permission to move documents in this workspace", ) if request.folder_id is not None: target = await session.get(Folder, request.folder_id) if not target: raise HTTPException(status_code=404, detail="Target folder not found") - if target.search_space_id != document.search_space_id: + if target.workspace_id != document.workspace_id: raise HTTPException( status_code=400, - detail="Cannot move document to a folder in a different search space", + detail="Cannot move document to a folder in a different workspace", ) document.folder_id = request.folder_id @@ -502,14 +502,14 @@ async def bulk_move_documents( if not documents: raise HTTPException(status_code=404, detail="No documents found") - search_space_ids = {doc.search_space_id for doc in documents} - for ss_id in search_space_ids: + workspace_ids = {doc.workspace_id for doc in documents} + for ss_id in workspace_ids: await check_permission( session, auth, ss_id, Permission.DOCUMENTS_UPDATE.value, - "You don't have permission to move documents in this search space", + "You don't have permission to move documents in this workspace", ) if request.folder_id is not None: @@ -517,14 +517,12 @@ async def bulk_move_documents( if not target: raise HTTPException(status_code=404, detail="Target folder not found") mismatched = [ - doc.id - for doc in documents - if doc.search_space_id != target.search_space_id + doc.id for doc in documents if doc.workspace_id != target.workspace_id ] if mismatched: raise HTTPException( status_code=400, - detail="Cannot move documents to a folder in a different search space", + detail="Cannot move documents to a folder in a different workspace", ) for doc in documents: diff --git a/surfsense_backend/app/routes/gateway_webhook_routes.py b/surfsense_backend/app/routes/gateway_webhook_routes.py index 931794059..a3c0609ce 100644 --- a/surfsense_backend/app/routes/gateway_webhook_routes.py +++ b/surfsense_backend/app/routes/gateway_webhook_routes.py @@ -53,7 +53,7 @@ from app.observability.metrics import ( ) from app.users import get_auth_context from app.utils.oauth_security import OAuthStateManager, TokenEncryption -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access router = APIRouter(prefix="/gateway", tags=["gateway"]) config_router = APIRouter(prefix="/gateway", tags=["gateway"]) @@ -170,7 +170,7 @@ def _slack_event_kind(payload: dict[str, Any]) -> str: class StartBindingRequest(BaseModel): platform: ExternalChatPlatform = ExternalChatPlatform.TELEGRAM - search_space_id: int + workspace_id: int class StartBindingResponse(BaseModel): @@ -180,12 +180,12 @@ class StartBindingResponse(BaseModel): expires_at: datetime -class UpdateBindingSearchSpaceRequest(BaseModel): - search_space_id: int +class UpdateBindingWorkspaceRequest(BaseModel): + workspace_id: int -class UpdateAccountSearchSpaceRequest(BaseModel): - search_space_id: int +class UpdateAccountWorkspaceRequest(BaseModel): + workspace_id: int def _active_whatsapp_account_mode() -> ExternalChatAccountMode | None: @@ -249,7 +249,7 @@ def _telegram_message(payload: dict[str, Any]) -> dict[str, Any] | None: @router.get("/slack/install") async def install_slack_gateway( - search_space_id: int, + workspace_id: int, auth: AuthContext = Depends(get_auth_context), session: AsyncSession = Depends(get_async_session), ) -> dict[str, str]: @@ -258,8 +258,8 @@ async def install_slack_gateway( raise HTTPException( status_code=500, detail="Slack gateway OAuth is not configured" ) - await check_search_space_access(session, auth, search_space_id) - state = _get_state_manager().generate_secure_state(search_space_id, user.id) + await check_workspace_access(session, auth, workspace_id) + state = _get_state_manager().generate_secure_state(workspace_id, user.id) auth_params = { "client_id": config.GATEWAY_SLACK_CLIENT_ID, "scope": ",".join(SLACK_BOT_SCOPES), @@ -382,7 +382,7 @@ async def slack_gateway_callback( ExternalChatBinding( account_id=account.id, user_id=user_id, - search_space_id=space_id, + workspace_id=space_id, state=ExternalChatBindingState.BOUND, external_peer_id=peer_id, external_peer_kind=ExternalChatPeerKind.DIRECT, @@ -395,7 +395,7 @@ async def slack_gateway_callback( ) ) elif binding.user_id == user_id: - binding.search_space_id = space_id + binding.workspace_id = space_id binding.external_metadata = { **(binding.external_metadata or {}), "kind": "slack_user", @@ -409,7 +409,7 @@ async def slack_gateway_callback( @router.get("/discord/install") async def install_discord_gateway( - search_space_id: int, + workspace_id: int, auth: AuthContext = Depends(get_auth_context), session: AsyncSession = Depends(get_async_session), ) -> dict[str, str]: @@ -418,8 +418,8 @@ async def install_discord_gateway( raise HTTPException( status_code=500, detail="Discord gateway OAuth is not configured" ) - await check_search_space_access(session, auth, search_space_id) - state = _get_state_manager().generate_secure_state(search_space_id, user.id) + await check_workspace_access(session, auth, workspace_id) + state = _get_state_manager().generate_secure_state(workspace_id, user.id) auth_params = { "client_id": config.DISCORD_CLIENT_ID, "scope": " ".join(DISCORD_GATEWAY_SCOPES), @@ -559,7 +559,7 @@ async def discord_gateway_callback( ExternalChatBinding( account_id=account.id, user_id=user_id, - search_space_id=space_id, + workspace_id=space_id, state=ExternalChatBindingState.BOUND, external_peer_id=peer_id, external_peer_kind=ExternalChatPeerKind.DIRECT, @@ -568,7 +568,7 @@ async def discord_gateway_callback( ) ) elif binding.user_id == user_id: - binding.search_space_id = space_id + binding.workspace_id = space_id binding.external_username = discord_username or binding.external_username binding.external_metadata = { **(binding.external_metadata or {}), @@ -718,7 +718,7 @@ async def start_binding( session: AsyncSession = Depends(get_async_session), ) -> StartBindingResponse: user = auth.user - await check_search_space_access(session, auth, body.search_space_id) + await check_workspace_access(session, auth, body.workspace_id) code = generate_pairing_code() if body.platform == ExternalChatPlatform.TELEGRAM: if not _telegram_gateway_enabled(): @@ -758,7 +758,7 @@ async def start_binding( binding = ExternalChatBinding( account_id=account.id, user_id=user.id, - search_space_id=body.search_space_id, + workspace_id=body.workspace_id, state=ExternalChatBindingState.PENDING, pairing_code=code, pairing_code_expires_at=expires_at, @@ -794,7 +794,7 @@ async def list_bindings( "id": binding.id, "platform": account.platform.value, "state": binding.state.value, - "search_space_id": binding.search_space_id, + "workspace_id": binding.workspace_id, "external_display_name": binding.external_display_name, "external_username": binding.external_username, "external_metadata": binding.external_metadata, @@ -869,7 +869,7 @@ async def list_connections( workspace_id = None route_type = "binding" connection_id = binding.id - search_space_id = binding.search_space_id + workspace_id = binding.workspace_id display_name = binding.external_display_name or binding.external_username if account.platform == ExternalChatPlatform.SLACK: workspace_name = account_state.get("team_name") @@ -886,9 +886,7 @@ async def list_connections( baileys_account_ids.add(int(account.id)) route_type = "account" connection_id = account.id - search_space_id = ( - account.owner_search_space_id or binding.search_space_id - ) + workspace_id = account.owner_workspace_id or binding.workspace_id display_name = "WhatsApp Bridge" connections.append( @@ -899,7 +897,7 @@ async def list_connections( "platform": account.platform.value, "mode": account.mode.value, "state": binding.state.value, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "display_name": display_name or workspace_name, "external_username": ( None @@ -907,7 +905,6 @@ async def list_connections( else binding.external_username ), "workspace_name": workspace_name, - "workspace_id": workspace_id, "health_status": account.health_status.value, "suspended_reason": binding.suspended_reason, } @@ -921,7 +918,7 @@ async def list_connections( ExternalChatAccount.owner_user_id == user.id, ExternalChatAccount.platform == ExternalChatPlatform.WHATSAPP, ExternalChatAccount.mode == ExternalChatAccountMode.SELF_HOST_BYO, - ExternalChatAccount.owner_search_space_id.is_not(None), + ExternalChatAccount.owner_workspace_id.is_not(None), ) ) for account in account_result.scalars(): @@ -936,11 +933,10 @@ async def list_connections( "platform": account.platform.value, "mode": account.mode.value, "state": "bound", - "search_space_id": account.owner_search_space_id, + "workspace_id": account.owner_workspace_id, "display_name": "WhatsApp Bridge", "external_username": None, "workspace_name": account_state.get("display_phone_number"), - "workspace_id": account_state.get("phone_number_id"), "health_status": account.health_status.value, "suspended_reason": account.suspended_reason, } @@ -995,10 +991,10 @@ async def get_gateway_config( } -@router.patch("/bindings/{binding_id}/search-space") -async def update_binding_search_space( +@router.patch("/bindings/{binding_id}/workspace") +async def update_binding_workspace( binding_id: int, - body: UpdateBindingSearchSpaceRequest, + body: UpdateBindingWorkspaceRequest, auth: AuthContext = Depends(get_auth_context), session: AsyncSession = Depends(get_async_session), ) -> dict[str, bool]: @@ -1017,19 +1013,19 @@ async def update_binding_search_space( if account is None or _is_inactive_whatsapp_account(account): raise HTTPException(status_code=404, detail="Binding not found") - await check_search_space_access(session, auth, body.search_space_id) - if binding.search_space_id != body.search_space_id: - binding.search_space_id = body.search_space_id + await check_workspace_access(session, auth, body.workspace_id) + if binding.workspace_id != body.workspace_id: + binding.workspace_id = body.workspace_id binding.new_chat_thread_id = None binding.updated_at = datetime.now(UTC) await session.commit() return {"ok": True} -@router.patch("/accounts/{account_id}/search-space") -async def update_gateway_account_search_space( +@router.patch("/accounts/{account_id}/workspace") +async def update_gateway_account_workspace( account_id: int, - body: UpdateAccountSearchSpaceRequest, + body: UpdateAccountWorkspaceRequest, auth: AuthContext = Depends(get_auth_context), session: AsyncSession = Depends(get_async_session), ) -> dict[str, bool]: @@ -1044,8 +1040,8 @@ async def update_gateway_account_search_space( ): raise HTTPException(status_code=404, detail="Gateway account not found") - await check_search_space_access(session, auth, body.search_space_id) - account.owner_search_space_id = body.search_space_id + await check_workspace_access(session, auth, body.workspace_id) + account.owner_workspace_id = body.workspace_id account.updated_at = datetime.now(UTC) result = await session.execute( @@ -1058,7 +1054,7 @@ async def update_gateway_account_search_space( ) ) for binding in result.scalars(): - binding.search_space_id = body.search_space_id + binding.workspace_id = body.workspace_id binding.new_chat_thread_id = None binding.updated_at = datetime.now(UTC) @@ -1113,7 +1109,7 @@ async def delete_gateway_account( for binding in result.scalars(): revoke_binding(binding) - account.owner_search_space_id = None + account.owner_workspace_id = None account.suspended_at = datetime.now(UTC) account.suspended_reason = "disconnected" account.updated_at = datetime.now(UTC) diff --git a/surfsense_backend/app/routes/gateway_whatsapp_baileys_routes.py b/surfsense_backend/app/routes/gateway_whatsapp_baileys_routes.py index 95c8fe12b..eb2c60d50 100644 --- a/surfsense_backend/app/routes/gateway_whatsapp_baileys_routes.py +++ b/surfsense_backend/app/routes/gateway_whatsapp_baileys_routes.py @@ -22,13 +22,13 @@ from app.db import ( ) from app.gateway.whatsapp.adapter_baileys import WhatsAppBaileysAdapter from app.users import get_auth_context -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access router = APIRouter(prefix="/gateway/whatsapp/baileys", tags=["gateway"]) class BaileysPairRequest(BaseModel): - search_space_id: int + workspace_id: int phone_number: str @@ -66,7 +66,7 @@ async def request_pairing_code( ) -> dict[str, Any]: user = auth.user _ensure_baileys_enabled() - await check_search_space_access(session, auth, body.search_space_id) + await check_workspace_access(session, auth, body.workspace_id) adapter = WhatsAppBaileysAdapter() try: pairing = await adapter.request_pairing_code(phone_number=body.phone_number) @@ -79,7 +79,7 @@ async def request_pairing_code( platform=ExternalChatPlatform.WHATSAPP, mode=ExternalChatAccountMode.SELF_HOST_BYO, owner_user_id=user.id, - owner_search_space_id=body.search_space_id, + owner_workspace_id=body.workspace_id, is_system_account=False, cursor_state={}, health_status=ExternalChatHealthStatus.UNKNOWN, @@ -87,7 +87,7 @@ async def request_pairing_code( session.add(account) else: account.mode = ExternalChatAccountMode.SELF_HOST_BYO - account.owner_search_space_id = body.search_space_id + account.owner_workspace_id = body.workspace_id account.health_status = ExternalChatHealthStatus.UNKNOWN account.suspended_at = None account.suspended_reason = None diff --git a/surfsense_backend/app/routes/google_calendar_add_connector_route.py b/surfsense_backend/app/routes/google_calendar_add_connector_route.py index 8789287b8..793a255cb 100644 --- a/surfsense_backend/app/routes/google_calendar_add_connector_route.py +++ b/surfsense_backend/app/routes/google_calendar_add_connector_route.py @@ -141,7 +141,7 @@ async def reauth_calendar( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR, ) @@ -286,7 +286,7 @@ async def calendar_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR, ) @@ -343,7 +343,7 @@ async def calendar_callback( name=connector_name, connector_type=SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR, config=creds_dict, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, is_indexable=False, ) diff --git a/surfsense_backend/app/routes/google_drive_add_connector_route.py b/surfsense_backend/app/routes/google_drive_add_connector_route.py index c97c82eb0..a82a41ae1 100644 --- a/surfsense_backend/app/routes/google_drive_add_connector_route.py +++ b/surfsense_backend/app/routes/google_drive_add_connector_route.py @@ -46,7 +46,7 @@ from app.utils.oauth_security import ( TokenEncryption, generate_code_verifier, ) -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access # Relax token scope validation for Google OAuth os.environ["OAUTHLIB_RELAX_TOKEN_SCOPE"] = "1" @@ -119,7 +119,7 @@ async def connect_drive( Initiate Google Drive OAuth flow. Query params: - space_id: Search space ID to add connector to + space_id: Workspace ID to add connector to Returns: JSON with auth_url to redirect user to Google authorization @@ -177,7 +177,7 @@ async def reauth_drive( Initiate Google Drive re-authentication to upgrade OAuth scopes. Query params: - space_id: Search space ID the connector belongs to + space_id: Workspace ID the connector belongs to connector_id: ID of the existing connector to re-authenticate Returns: @@ -189,7 +189,7 @@ async def reauth_drive( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR, ) @@ -349,7 +349,7 @@ async def drive_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR, ) @@ -415,7 +415,7 @@ async def drive_callback( **creds_dict, "start_page_token": None, # Will be set on first index }, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, is_indexable=True, ) @@ -517,7 +517,7 @@ async def list_google_drive_folders( detail="Google Drive connector not found or access denied", ) - await check_search_space_access(session, auth, connector.search_space_id) + await check_workspace_access(session, auth, connector.workspace_id) # Initialize Drive client (credentials will be loaded on first API call) drive_client = GoogleDriveClient(session, connector_id) diff --git a/surfsense_backend/app/routes/google_gmail_add_connector_route.py b/surfsense_backend/app/routes/google_gmail_add_connector_route.py index 82475c792..c7b0fef9c 100644 --- a/surfsense_backend/app/routes/google_gmail_add_connector_route.py +++ b/surfsense_backend/app/routes/google_gmail_add_connector_route.py @@ -100,7 +100,7 @@ async def connect_gmail( Initiate Google Gmail OAuth flow. Query params: - space_id: Search space ID to add connector to + space_id: Workspace ID to add connector to Returns: JSON with auth_url to redirect user to Google authorization @@ -159,7 +159,7 @@ async def reauth_gmail( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR, ) @@ -317,7 +317,7 @@ async def gmail_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR, ) @@ -374,7 +374,7 @@ async def gmail_callback( name=connector_name, connector_type=SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR, config=creds_dict, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, is_indexable=False, ) diff --git a/surfsense_backend/app/routes/image_generation_routes.py b/surfsense_backend/app/routes/image_generation_routes.py index 96cb3825c..5a6c71127 100644 --- a/surfsense_backend/app/routes/image_generation_routes.py +++ b/surfsense_backend/app/routes/image_generation_routes.py @@ -22,8 +22,8 @@ from app.db import ( ImageGeneration, Model, Permission, - SearchSpace, - SearchSpaceMembership, + Workspace, + WorkspaceMembership, get_async_session, ) from app.schemas import ( @@ -68,7 +68,7 @@ def _get_global_connection(connection_id: int) -> dict | None: async def _resolve_billing_for_image_gen( session: AsyncSession, config_id: int | None, - search_space: SearchSpace, + workspace: Workspace, ) -> tuple[str, str, int]: """Resolve ``(billing_tier, base_model, reserve_micros)`` for a request. @@ -84,18 +84,18 @@ async def _resolve_billing_for_image_gen( """ resolved_id = config_id if resolved_id is None: - resolved_id = search_space.image_gen_model_id or IMAGE_GEN_AUTO_MODE_ID + resolved_id = workspace.image_gen_model_id or IMAGE_GEN_AUTO_MODE_ID if is_image_gen_auto_mode(resolved_id): candidates = await auto_model_candidates( session, - search_space_id=search_space.id, - user_id=search_space.user_id, + workspace_id=workspace.id, + user_id=workspace.user_id, capability="image_gen", ) if not candidates: return ("free", "auto", DEFAULT_IMAGE_RESERVE_MICROS) - selected = choose_auto_model_candidate(candidates, search_space.id) + selected = choose_auto_model_candidate(candidates, workspace.id) resolved_id = int(selected["id"]) if resolved_id < 0: @@ -119,19 +119,19 @@ async def _resolve_billing_for_image_gen( async def _execute_image_generation( session: AsyncSession, image_gen: ImageGeneration, - search_space: SearchSpace, + workspace: Workspace, ) -> None: """ Call litellm.aimage_generation() with the appropriate config. Resolution order: 1. Explicit image_gen_model_id on the request - 2. Search space's image_gen_model_id preference + 2. Workspace's image_gen_model_id preference 3. Falls back to Auto mode if available """ config_id = image_gen.image_gen_model_id if config_id is None: - config_id = search_space.image_gen_model_id or IMAGE_GEN_AUTO_MODE_ID + config_id = workspace.image_gen_model_id or IMAGE_GEN_AUTO_MODE_ID image_gen.image_gen_model_id = config_id # Build kwargs @@ -150,13 +150,13 @@ async def _execute_image_generation( if is_image_gen_auto_mode(config_id): candidates = await auto_model_candidates( session, - search_space_id=search_space.id, - user_id=search_space.user_id, + workspace_id=workspace.id, + user_id=workspace.user_id, capability="image_gen", ) if not candidates: raise ValueError("No image-generation models are available for Auto mode") - config_id = int(choose_auto_model_candidate(candidates, search_space.id)["id"]) + config_id = int(choose_auto_model_candidate(candidates, workspace.id)["id"]) image_gen.image_gen_model_id = config_id if config_id < 0: @@ -191,9 +191,9 @@ async def _execute_image_generation( if not db_model or not db_model.connection or not db_model.connection.enabled: raise ValueError(f"Image generation model {config_id} not found") conn = db_model.connection - if conn.search_space_id is not None and conn.search_space_id != search_space.id: + if conn.workspace_id is not None and conn.workspace_id != workspace.id: raise ValueError(f"Image generation model {config_id} not found") - if conn.user_id is not None and conn.user_id != search_space.user_id: + if conn.user_id is not None and conn.user_id != workspace.user_id: raise ValueError(f"Image generation model {config_id} not found") if not has_capability(db_model, "image_gen"): raise ValueError(f"Model {config_id} is not image-generation capable") @@ -254,7 +254,7 @@ async def create_image_generation( Premium configs are gated by the user's shared premium credit pool. The flow is: - 1. Permission check + load the search space (cheap, no provider call). + 1. Permission check + load the workspace (cheap, no provider call). 2. Resolve which config will run so we know its billing tier and the worst-case reservation size *before* opening any DB rows. 3. Wrap the entire ImageGeneration row insert + provider call in @@ -273,20 +273,20 @@ async def create_image_generation( await check_permission( session, auth, - data.search_space_id, + data.workspace_id, Permission.IMAGE_GENERATIONS_CREATE.value, - "You don't have permission to create image generations in this search space", + "You don't have permission to create image generations in this workspace", ) result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == data.search_space_id) + select(Workspace).filter(Workspace.id == data.workspace_id) ) - search_space = result.scalars().first() - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") + workspace = result.scalars().first() + if not workspace: + raise HTTPException(status_code=404, detail="Workspace not found") billing_tier, base_model, reserve_micros = await _resolve_billing_for_image_gen( - session, data.image_gen_model_id, search_space + session, data.image_gen_model_id, workspace ) # billable_call runs OUTSIDE the inner try/except so QuotaInsufficientError @@ -296,8 +296,8 @@ async def create_image_generation( # exists when none does, and (2) return HTTP 200 to a client # whose request was actively *denied* (issue K). async with billable_call( - user_id=search_space.user_id, - search_space_id=data.search_space_id, + user_id=workspace.user_id, + workspace_id=data.workspace_id, billing_tier=billing_tier, base_model=base_model, quota_reserve_micros_override=reserve_micros, @@ -313,14 +313,14 @@ async def create_image_generation( style=data.style, response_format=data.response_format, image_gen_model_id=data.image_gen_model_id, - search_space_id=data.search_space_id, + workspace_id=data.workspace_id, created_by_id=user.id, ) session.add(db_image_gen) await session.flush() try: - await _execute_image_generation(session, db_image_gen, search_space) + await _execute_image_generation(session, db_image_gen, workspace) except Exception as e: logger.exception("Image generation call failed") db_image_gen.error_message = str(e) @@ -363,7 +363,7 @@ async def create_image_generation( @router.get("/image-generations", response_model=list[ImageGenerationListRead]) async def list_image_generations( - search_space_id: int | None = None, + workspace_id: int | None = None, skip: int = 0, limit: int = 50, session: AsyncSession = Depends(get_async_session), @@ -377,17 +377,17 @@ async def list_image_generations( limit = 100 try: - if search_space_id is not None: + if workspace_id is not None: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.IMAGE_GENERATIONS_READ.value, - "You don't have permission to read image generations in this search space", + "You don't have permission to read image generations in this workspace", ) result = await session.execute( select(ImageGeneration) - .filter(ImageGeneration.search_space_id == search_space_id) + .filter(ImageGeneration.workspace_id == workspace_id) .order_by(ImageGeneration.created_at.desc()) .offset(skip) .limit(limit) @@ -395,9 +395,9 @@ async def list_image_generations( else: result = await session.execute( select(ImageGeneration) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) .order_by(ImageGeneration.created_at.desc()) .offset(skip) .limit(limit) @@ -434,9 +434,9 @@ async def get_image_generation( await check_permission( session, auth, - image_gen.search_space_id, + image_gen.workspace_id, Permission.IMAGE_GENERATIONS_READ.value, - "You don't have permission to read image generations in this search space", + "You don't have permission to read image generations in this workspace", ) return image_gen @@ -466,9 +466,9 @@ async def delete_image_generation( await check_permission( session, auth, - db_image_gen.search_space_id, + db_image_gen.workspace_id, Permission.IMAGE_GENERATIONS_DELETE.value, - "You don't have permission to delete image generations in this search space", + "You don't have permission to delete image generations in this workspace", ) await session.delete(db_image_gen) @@ -500,8 +500,8 @@ async def serve_generated_image( Serve a generated image by ID, protected by a signed token. The token is generated when the image URL is created by the generate_image - tool and encodes the image_gen_id, search_space_id, and an expiry timestamp. - This ensures only users with access to the search space can view images, + tool and encodes the image_gen_id, workspace_id, and an expiry timestamp. + This ensures only users with access to the workspace can view images, without requiring auth headers (which <img> tags cannot pass). Args: diff --git a/surfsense_backend/app/routes/jira_add_connector_route.py b/surfsense_backend/app/routes/jira_add_connector_route.py index c29d0609b..c82363daa 100644 --- a/surfsense_backend/app/routes/jira_add_connector_route.py +++ b/surfsense_backend/app/routes/jira_add_connector_route.py @@ -83,7 +83,7 @@ async def connect_jira( Initiate Jira OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -326,7 +326,7 @@ async def jira_callback( sa_select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.JIRA_CONNECTOR, ) @@ -392,7 +392,7 @@ async def jira_callback( connector_type=SearchSourceConnectorType.JIRA_CONNECTOR, is_indexable=False, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) @@ -454,7 +454,7 @@ async def reauth_jira( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.JIRA_CONNECTOR, ) diff --git a/surfsense_backend/app/routes/linear_add_connector_route.py b/surfsense_backend/app/routes/linear_add_connector_route.py index 1d7cc172f..f29d8fcae 100644 --- a/surfsense_backend/app/routes/linear_add_connector_route.py +++ b/surfsense_backend/app/routes/linear_add_connector_route.py @@ -87,7 +87,7 @@ async def connect_linear( Initiate Linear OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -148,7 +148,7 @@ async def reauth_linear( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.LINEAR_CONNECTOR, ) @@ -346,7 +346,7 @@ async def linear_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.LINEAR_CONNECTOR, ) @@ -406,7 +406,7 @@ async def linear_callback( connector_type=SearchSourceConnectorType.LINEAR_CONNECTOR, is_indexable=False, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) diff --git a/surfsense_backend/app/routes/logs_routes.py b/surfsense_backend/app/routes/logs_routes.py index 28c3e4fd1..c4903327d 100644 --- a/surfsense_backend/app/routes/logs_routes.py +++ b/surfsense_backend/app/routes/logs_routes.py @@ -11,8 +11,8 @@ from app.db import ( LogLevel, LogStatus, Permission, - SearchSpace, - SearchSpaceMembership, + Workspace, + WorkspaceMembership, get_async_session, ) from app.schemas import LogCreate, LogRead, LogUpdate @@ -33,13 +33,13 @@ async def create_log( Note: This is typically called internally. Requires LOGS_READ permission (since logs are usually system-generated). """ try: - # Check if the user has access to the search space + # Check if the user has access to the workspace await check_permission( session, auth, - log.search_space_id, + log.workspace_id, Permission.LOGS_READ.value, - "You don't have permission to access logs in this search space", + "You don't have permission to access logs in this workspace", ) db_log = Log(**log.model_dump()) @@ -60,7 +60,7 @@ async def create_log( async def read_logs( skip: int = 0, limit: int = 100, - search_space_id: int | None = None, + workspace_id: int | None = None, level: LogLevel | None = None, status: LogStatus | None = None, source: str | None = None, @@ -72,34 +72,34 @@ async def read_logs( user = auth.user """ Get logs with optional filtering. - Requires LOGS_READ permission for the search space(s). + Requires LOGS_READ permission for the workspace(s). """ try: # Apply filters filters = [] - if search_space_id is not None: - # Check permission for specific search space + if workspace_id is not None: + # Check permission for specific workspace await check_permission( session, auth, - search_space_id, + workspace_id, Permission.LOGS_READ.value, - "You don't have permission to read logs in this search space", + "You don't have permission to read logs in this workspace", ) - # Build query for specific search space + # Build query for specific workspace query = ( select(Log) - .filter(Log.search_space_id == search_space_id) + .filter(Log.workspace_id == workspace_id) .order_by(desc(Log.created_at)) ) else: - # Build base query - logs from search spaces user has membership in + # Build base query - logs from workspaces user has membership in query = ( select(Log) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) .order_by(desc(Log.created_at)) ) @@ -141,7 +141,7 @@ async def read_log( ): """ Get a specific log by ID. - Requires LOGS_READ permission for the search space. + Requires LOGS_READ permission for the workspace. """ try: result = await session.execute(select(Log).filter(Log.id == log_id)) @@ -150,13 +150,13 @@ async def read_log( if not log: raise HTTPException(status_code=404, detail="Log not found") - # Check permission for the search space + # Check permission for the workspace await check_permission( session, auth, - log.search_space_id, + log.workspace_id, Permission.LOGS_READ.value, - "You don't have permission to read logs in this search space", + "You don't have permission to read logs in this workspace", ) return log @@ -186,13 +186,13 @@ async def update_log( if not db_log: raise HTTPException(status_code=404, detail="Log not found") - # Check permission for the search space + # Check permission for the workspace await check_permission( session, auth, - db_log.search_space_id, + db_log.workspace_id, Permission.LOGS_READ.value, - "You don't have permission to access logs in this search space", + "You don't have permission to access logs in this workspace", ) # Update only provided fields @@ -220,7 +220,7 @@ async def delete_log( ): """ Delete a log entry. - Requires LOGS_DELETE permission for the search space. + Requires LOGS_DELETE permission for the workspace. """ try: result = await session.execute(select(Log).filter(Log.id == log_id)) @@ -229,13 +229,13 @@ async def delete_log( if not db_log: raise HTTPException(status_code=404, detail="Log not found") - # Check permission for the search space + # Check permission for the workspace await check_permission( session, auth, - db_log.search_space_id, + db_log.workspace_id, Permission.LOGS_DELETE.value, - "You don't have permission to delete logs in this search space", + "You don't have permission to delete logs in this workspace", ) await session.delete(db_log) @@ -250,25 +250,25 @@ async def delete_log( ) from e -@router.get("/logs/search-space/{search_space_id}/summary") +@router.get("/logs/workspaces/{workspace_id}/summary") async def get_logs_summary( - search_space_id: int, + workspace_id: int, hours: int = 24, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - Get a summary of logs for a search space in the last X hours. - Requires LOGS_READ permission for the search space. + Get a summary of logs for a workspace in the last X hours. + Requires LOGS_READ permission for the workspace. """ try: # Check permission await check_permission( session, auth, - search_space_id, + workspace_id, Permission.LOGS_READ.value, - "You don't have permission to read logs in this search space", + "You don't have permission to read logs in this workspace", ) # Calculate time window @@ -277,9 +277,7 @@ async def get_logs_summary( # Get logs from the time window result = await session.execute( select(Log) - .filter( - and_(Log.search_space_id == search_space_id, Log.created_at >= since) - ) + .filter(and_(Log.workspace_id == workspace_id, Log.created_at >= since)) .order_by(desc(Log.created_at)) ) logs = result.scalars().all() diff --git a/surfsense_backend/app/routes/luma_add_connector_route.py b/surfsense_backend/app/routes/luma_add_connector_route.py index 9a6f18940..103cfd793 100644 --- a/surfsense_backend/app/routes/luma_add_connector_route.py +++ b/surfsense_backend/app/routes/luma_add_connector_route.py @@ -13,6 +13,7 @@ from app.db import ( get_async_session, ) from app.users import require_session_context +from app.utils.validators import raise_if_connector_deprecated logger = logging.getLogger(__name__) @@ -23,7 +24,7 @@ class AddLumaConnectorRequest(BaseModel): """Request model for adding a Luma connector.""" api_key: str = Field(..., description="Luma API key") - space_id: int = Field(..., description="Search space ID") + space_id: int = Field(..., description="Workspace ID") @router.post("/connectors/luma/add") @@ -48,10 +49,12 @@ async def add_luma_connector( """ user = auth.user try: - # Check if a Luma connector already exists for this search space and user + raise_if_connector_deprecated(SearchSourceConnectorType.LUMA_CONNECTOR) + + # Check if a Luma connector already exists for this workspace and user result = await session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == request.space_id, + SearchSourceConnector.workspace_id == request.space_id, SearchSourceConnector.user_id == user.id, SearchSourceConnector.connector_type == SearchSourceConnectorType.LUMA_CONNECTOR, @@ -81,7 +84,7 @@ async def add_luma_connector( name="Luma Event Connector", connector_type=SearchSourceConnectorType.LUMA_CONNECTOR, config={"api_key": request.api_key}, - search_space_id=request.space_id, + workspace_id=request.space_id, user_id=user.id, is_indexable=False, ) @@ -123,10 +126,10 @@ async def delete_luma_connector( session: AsyncSession = Depends(get_async_session), ): """ - Delete the Luma connector for the authenticated user in a specific search space. + Delete the Luma connector for the authenticated user in a specific workspace. Args: - space_id: Search space ID + space_id: Workspace ID user: Current authenticated user session: Database session @@ -140,7 +143,7 @@ async def delete_luma_connector( try: result = await session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.user_id == user.id, SearchSourceConnector.connector_type == SearchSourceConnectorType.LUMA_CONNECTOR, @@ -179,10 +182,10 @@ async def test_luma_connector( session: AsyncSession = Depends(get_async_session), ): """ - Test the Luma connector for the authenticated user in a specific search space. + Test the Luma connector for the authenticated user in a specific workspace. Args: - space_id: Search space ID + space_id: Workspace ID user: Current authenticated user session: Database session @@ -194,10 +197,10 @@ async def test_luma_connector( """ user = auth.user try: - # Get the Luma connector for this search space and user + # Get the Luma connector for this workspace and user result = await session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.user_id == user.id, SearchSourceConnector.connector_type == SearchSourceConnectorType.LUMA_CONNECTOR, diff --git a/surfsense_backend/app/routes/mcp_oauth_route.py b/surfsense_backend/app/routes/mcp_oauth_route.py index dbeb8738c..b894b0703 100644 --- a/surfsense_backend/app/routes/mcp_oauth_route.py +++ b/surfsense_backend/app/routes/mcp_oauth_route.py @@ -413,7 +413,7 @@ async def mcp_oauth_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == db_connector_type, ) ) @@ -468,7 +468,7 @@ async def mcp_oauth_callback( connector_type=db_connector_type, is_indexable=False, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) @@ -539,7 +539,7 @@ async def reauth_mcp_service( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == db_connector_type, ) ) diff --git a/surfsense_backend/app/routes/model_connections_routes.py b/surfsense_backend/app/routes/model_connections_routes.py index 84e9b830d..8f6a17cfd 100644 --- a/surfsense_backend/app/routes/model_connections_routes.py +++ b/surfsense_backend/app/routes/model_connections_routes.py @@ -14,7 +14,7 @@ from app.db import ( ModelSource, NewChatThread, Permission, - SearchSpace, + Workspace, get_async_session, ) from app.schemas import ( @@ -88,7 +88,7 @@ def _connection_read( api_key=conn.api_key, extra=conn.extra or {}, scope=conn.scope, - search_space_id=conn.search_space_id, + workspace_id=conn.workspace_id, user_id=conn.user_id, enabled=conn.enabled, has_api_key=bool(conn.api_key), @@ -142,7 +142,7 @@ def _default_model_for(models: list[Model], capability: str) -> int | None: async def _load_role_model( session: AsyncSession, - search_space_id: int, + workspace_id: int, model_id: int, ) -> Model | dict | None: if model_id < 0: @@ -157,7 +157,7 @@ async def _load_role_model( .where(Model.id == model_id) ) model = result.scalars().first() - if model is None or model.connection.search_space_id != search_space_id: + if model is None or model.connection.workspace_id != workspace_id: return None return model @@ -171,14 +171,14 @@ def _role_model_enabled(model: Model | dict) -> bool: async def _validate_role_model_id( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, model_id: int | None, capability: str, ) -> int: if model_id is None or model_id == 0: return 0 - model = await _load_role_model(session, search_space_id, model_id) + model = await _load_role_model(session, workspace_id, model_id) if model and _role_model_enabled(model) and has_capability(model, capability): return model_id @@ -191,14 +191,14 @@ async def _validate_role_model_id( async def _resolve_role_model_id( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, model_id: int | None, capability: str, ) -> int: try: return await _validate_role_model_id( session, - search_space_id=search_space_id, + workspace_id=workspace_id, model_id=model_id, capability=capability, ) @@ -206,29 +206,27 @@ async def _resolve_role_model_id( return 0 -async def _clear_invalid_roles( - session: AsyncSession, search_space_id: int -) -> SearchSpace: - search_space = await _get_search_space(session, search_space_id) - search_space.chat_model_id = await _resolve_role_model_id( +async def _clear_invalid_roles(session: AsyncSession, workspace_id: int) -> Workspace: + workspace = await _get_workspace(session, workspace_id) + workspace.chat_model_id = await _resolve_role_model_id( session, - search_space_id=search_space_id, - model_id=search_space.chat_model_id, + workspace_id=workspace_id, + model_id=workspace.chat_model_id, capability="chat", ) - search_space.vision_model_id = await _resolve_role_model_id( + workspace.vision_model_id = await _resolve_role_model_id( session, - search_space_id=search_space_id, - model_id=search_space.vision_model_id, + workspace_id=workspace_id, + model_id=workspace.vision_model_id, capability="vision", ) - search_space.image_gen_model_id = await _resolve_role_model_id( + workspace.image_gen_model_id = await _resolve_role_model_id( session, - search_space_id=search_space_id, - model_id=search_space.image_gen_model_id, + workspace_id=workspace_id, + model_id=workspace.image_gen_model_id, capability="image_gen", ) - return search_space + return workspace async def _default_unset_roles( @@ -236,24 +234,24 @@ async def _default_unset_roles( conn: Connection, models: list[Model], ) -> None: - if conn.scope != ConnectionScope.SEARCH_SPACE or conn.search_space_id is None: + if conn.scope != ConnectionScope.SEARCH_SPACE or conn.workspace_id is None: return - search_space = await _get_search_space(session, conn.search_space_id) - if search_space.chat_model_id is None: - search_space.chat_model_id = _default_model_for(models, "chat") - if search_space.vision_model_id is None: + workspace = await _get_workspace(session, conn.workspace_id) + if workspace.chat_model_id is None: + workspace.chat_model_id = _default_model_for(models, "chat") + if workspace.vision_model_id is None: vision_default = None - if search_space.chat_model_id: + if workspace.chat_model_id: chat_model = next( - (m for m in models if m.id == search_space.chat_model_id), None + (m for m in models if m.id == workspace.chat_model_id), None ) if chat_model and has_capability(chat_model, "vision"): vision_default = chat_model.id - search_space.vision_model_id = vision_default or _default_model_for( + workspace.vision_model_id = vision_default or _default_model_for( models, "vision" ) - if search_space.image_gen_model_id is None: - search_space.image_gen_model_id = _default_model_for(models, "image_gen") + if workspace.image_gen_model_id is None: + workspace.image_gen_model_id = _default_model_for(models, "image_gen") @router.get("/model-providers", response_model=list[ModelProviderRead]) @@ -274,14 +272,14 @@ async def list_model_providers(auth: AuthContext = Depends(require_session_conte ] -async def _get_search_space(session: AsyncSession, search_space_id: int) -> SearchSpace: +async def _get_workspace(session: AsyncSession, workspace_id: int) -> Workspace: result = await session.execute( - select(SearchSpace).where(SearchSpace.id == search_space_id) + select(Workspace).where(Workspace.id == workspace_id) ) - search_space = result.scalars().first() - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") - return search_space + workspace = result.scalars().first() + if not workspace: + raise HTTPException(status_code=404, detail="Workspace not found") + return workspace async def _load_connection(session: AsyncSession, connection_id: int) -> Connection: @@ -304,13 +302,13 @@ async def _assert_connection_access( allow_spaceless_pat: bool = False, ) -> None: user = auth.user - if conn.search_space_id: + if conn.workspace_id: await check_permission( session, auth, - conn.search_space_id, + conn.workspace_id, permission, - "You don't have permission to manage model connections in this search space", + "You don't have permission to manage model connections in this workspace", ) return if conn.user_id != user.id: @@ -346,21 +344,21 @@ async def list_global_connections(auth: AuthContext = Depends(require_session_co @router.get("/model-connections", response_model=list[ConnectionRead]) async def list_connections( - search_space_id: int | None = None, + workspace_id: int | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user stmt = select(Connection).options(selectinload(Connection.models)) - if search_space_id is not None: + if workspace_id is not None: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.LLM_CONFIGS_CREATE.value, - "You don't have permission to view model connections in this search space", + "You don't have permission to view model connections in this workspace", ) - stmt = stmt.where(Connection.search_space_id == search_space_id) + stmt = stmt.where(Connection.workspace_id == workspace_id) else: stmt = stmt.where(Connection.user_id == user.id) result = await session.execute(stmt.order_by(Connection.id)) @@ -379,25 +377,25 @@ async def create_connection( if data.scope == ConnectionScope.GLOBAL: raise HTTPException(status_code=400, detail="GLOBAL connections are YAML-only") if data.scope == ConnectionScope.SEARCH_SPACE: - if data.search_space_id is None: - raise HTTPException(status_code=400, detail="search_space_id is required") + if data.workspace_id is None: + raise HTTPException(status_code=400, detail="workspace_id is required") await check_permission( session, auth, - data.search_space_id, + data.workspace_id, Permission.LLM_CONFIGS_CREATE.value, - "You don't have permission to create model connections in this search space", + "You don't have permission to create model connections in this workspace", ) elif auth.is_gated: raise HTTPException( status_code=403, detail="Managing personal model connections requires an interactive session", ) - payload = data.model_dump(exclude={"search_space_id", "models"}) + payload = data.model_dump(exclude={"workspace_id", "models"}) conn = Connection( **payload, - search_space_id=data.search_space_id + workspace_id=data.workspace_id if data.scope == ConnectionScope.SEARCH_SPACE else None, user_id=user.id, @@ -430,13 +428,13 @@ async def preview_connection_models( auth: AuthContext = Depends(get_auth_context), ): user = auth.user - if data.scope == ConnectionScope.SEARCH_SPACE and data.search_space_id is not None: + if data.scope == ConnectionScope.SEARCH_SPACE and data.workspace_id is not None: await check_permission( session, auth, - data.search_space_id, + data.workspace_id, Permission.LLM_CONFIGS_CREATE.value, - "You don't have permission to create model connections in this search space", + "You don't have permission to create model connections in this workspace", ) elif auth.is_gated: raise HTTPException( @@ -451,7 +449,7 @@ async def preview_connection_models( extra=data.extra or {}, scope=data.scope, enabled=data.enabled, - search_space_id=data.search_space_id + workspace_id=data.workspace_id if data.scope == ConnectionScope.SEARCH_SPACE else None, user_id=user.id, @@ -470,13 +468,13 @@ async def test_preview_connection_model( auth: AuthContext = Depends(get_auth_context), ): user = auth.user - if data.scope == ConnectionScope.SEARCH_SPACE and data.search_space_id is not None: + if data.scope == ConnectionScope.SEARCH_SPACE and data.workspace_id is not None: await check_permission( session, auth, - data.search_space_id, + data.workspace_id, Permission.LLM_CONFIGS_CREATE.value, - "You don't have permission to create model connections in this search space", + "You don't have permission to create model connections in this workspace", ) elif auth.is_gated: raise HTTPException( @@ -495,7 +493,7 @@ async def test_preview_connection_model( extra=data.extra or {}, scope=data.scope, enabled=data.enabled, - search_space_id=data.search_space_id + workspace_id=data.workspace_id if data.scope == ConnectionScope.SEARCH_SPACE else None, user_id=user.id, @@ -525,12 +523,12 @@ async def update_connection( await _assert_connection_access( session, auth, conn, Permission.LLM_CONFIGS_UPDATE.value ) - search_space_id = conn.search_space_id + workspace_id = conn.workspace_id for key, value in data.model_dump(exclude_unset=True).items(): setattr(conn, key, value) await session.commit() - if search_space_id is not None: - await _clear_invalid_roles(session, search_space_id) + if workspace_id is not None: + await _clear_invalid_roles(session, workspace_id) await session.commit() conn = await _load_connection(session, connection_id) return _connection_read(conn, list(conn.models)) @@ -546,11 +544,11 @@ async def delete_connection( await _assert_connection_access( session, auth, conn, Permission.LLM_CONFIGS_DELETE.value ) - search_space_id = conn.search_space_id + workspace_id = conn.workspace_id await session.delete(conn) await session.commit() - if search_space_id is not None: - await _clear_invalid_roles(session, search_space_id) + if workspace_id is not None: + await _clear_invalid_roles(session, workspace_id) await session.commit() return {"status": "deleted"} @@ -611,8 +609,8 @@ async def discover_connection_models( await session.commit() conn = await _load_connection(session, connection_id) await _default_unset_roles(session, conn, list(conn.models)) - if conn.search_space_id is not None: - await _clear_invalid_roles(session, conn.search_space_id) + if conn.workspace_id is not None: + await _clear_invalid_roles(session, conn.workspace_id) await session.commit() conn = await _load_connection(session, connection_id) return [_model_read(model) for model in conn.models] @@ -654,8 +652,8 @@ async def add_manual_model( await session.refresh(model) conn = await _load_connection(session, connection_id) await _default_unset_roles(session, conn, list(conn.models)) - if conn.search_space_id is not None: - await _clear_invalid_roles(session, conn.search_space_id) + if conn.workspace_id is not None: + await _clear_invalid_roles(session, conn.workspace_id) await session.commit() await session.refresh(model) return _model_read(model) @@ -674,7 +672,7 @@ async def bulk_update_models( await _assert_connection_access( session, auth, conn, Permission.LLM_CONFIGS_UPDATE.value ) - search_space_id = conn.search_space_id + workspace_id = conn.workspace_id model_ids = set(data.model_ids) await session.execute( @@ -684,8 +682,8 @@ async def bulk_update_models( ) await session.commit() session.expire_all() - if search_space_id is not None: - await _clear_invalid_roles(session, search_space_id) + if workspace_id is not None: + await _clear_invalid_roles(session, workspace_id) await session.commit() session.expire_all() @@ -715,14 +713,14 @@ async def update_model( await _assert_connection_access( session, auth, model.connection, Permission.LLM_CONFIGS_UPDATE.value ) - search_space_id = model.connection.search_space_id + workspace_id = model.connection.workspace_id update = data.model_dump(exclude_unset=True) for key, value in update.items(): setattr(model, key, value) await session.commit() await session.refresh(model) - if search_space_id is not None: - await _clear_invalid_roles(session, search_space_id) + if workspace_id is not None: + await _clear_invalid_roles(session, workspace_id) await session.commit() await session.refresh(model) return _model_read(model) @@ -752,36 +750,32 @@ async def test_connection_model( ) -@router.get( - "/search-spaces/{search_space_id}/model-roles", response_model=ModelRolesRead -) +@router.get("/workspaces/{workspace_id}/model-roles", response_model=ModelRolesRead) async def get_model_roles( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): await check_permission( session, auth, - search_space_id, + workspace_id, Permission.LLM_CONFIGS_CREATE.value, - "You don't have permission to view model roles in this search space", + "You don't have permission to view model roles in this workspace", ) - search_space = await _clear_invalid_roles(session, search_space_id) + workspace = await _clear_invalid_roles(session, workspace_id) await session.commit() - await session.refresh(search_space) + await session.refresh(workspace) return ModelRolesRead( - chat_model_id=search_space.chat_model_id, - vision_model_id=search_space.vision_model_id, - image_gen_model_id=search_space.image_gen_model_id, + chat_model_id=workspace.chat_model_id, + vision_model_id=workspace.vision_model_id, + image_gen_model_id=workspace.image_gen_model_id, ) -@router.put( - "/search-spaces/{search_space_id}/model-roles", response_model=ModelRolesRead -) +@router.put("/workspaces/{workspace_id}/model-roles", response_model=ModelRolesRead) async def update_model_roles( - search_space_id: int, + workspace_id: int, data: ModelRolesUpdate, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -789,51 +783,51 @@ async def update_model_roles( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.LLM_CONFIGS_UPDATE.value, - "You don't have permission to update model roles in this search space", + "You don't have permission to update model roles in this workspace", ) - search_space = await _get_search_space(session, search_space_id) + workspace = await _get_workspace(session, workspace_id) updates = data.model_dump(exclude_unset=True) if "chat_model_id" in updates: - previous_chat_model_id = search_space.chat_model_id + previous_chat_model_id = workspace.chat_model_id next_chat_model_id = await _validate_role_model_id( session, - search_space_id=search_space_id, + workspace_id=workspace_id, model_id=updates["chat_model_id"], capability="chat", ) - search_space.chat_model_id = next_chat_model_id + workspace.chat_model_id = next_chat_model_id if next_chat_model_id != previous_chat_model_id: await session.execute( update(NewChatThread) - .where(NewChatThread.search_space_id == search_space_id) + .where(NewChatThread.workspace_id == workspace_id) .values(pinned_llm_config_id=None) ) logger.info( - "Cleared auto model pins for search_space_id=%s after chat_model_id change (%s -> %s)", - search_space_id, + "Cleared auto model pins for workspace_id=%s after chat_model_id change (%s -> %s)", + workspace_id, previous_chat_model_id, next_chat_model_id, ) if "vision_model_id" in updates: - search_space.vision_model_id = await _validate_role_model_id( + workspace.vision_model_id = await _validate_role_model_id( session, - search_space_id=search_space_id, + workspace_id=workspace_id, model_id=updates["vision_model_id"], capability="vision", ) if "image_gen_model_id" in updates: - search_space.image_gen_model_id = await _validate_role_model_id( + workspace.image_gen_model_id = await _validate_role_model_id( session, - search_space_id=search_space_id, + workspace_id=workspace_id, model_id=updates["image_gen_model_id"], capability="image_gen", ) await session.commit() - await session.refresh(search_space) + await session.refresh(workspace) return ModelRolesRead( - chat_model_id=search_space.chat_model_id, - vision_model_id=search_space.vision_model_id, - image_gen_model_id=search_space.image_gen_model_id, + chat_model_id=workspace.chat_model_id, + vision_model_id=workspace.vision_model_id, + image_gen_model_id=workspace.image_gen_model_id, ) diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py index 951682e47..89d1cef95 100644 --- a/surfsense_backend/app/routes/new_chat_routes.py +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -45,9 +45,9 @@ from app.db import ( NewChatMessageRole, NewChatThread, Permission, - SearchSpace, TokenUsage, User, + Workspace, get_async_session, shielded_async_session, ) @@ -525,7 +525,7 @@ async def check_thread_access( Access is granted if: - User is the creator of the thread - Thread visibility is SEARCH_SPACE (any member can access) - for read/update operations only - - Thread is a legacy thread (created_by_id is NULL) - only if user is search space owner + - Thread is a legacy thread (created_by_id is NULL) - only if user is workspace owner Args: session: Database session @@ -558,16 +558,14 @@ async def check_thread_access( return True # For legacy threads (created before visibility feature), - # only the search space owner can access + # only the workspace owner can access if is_legacy: - search_space_query = select(SearchSpace).filter( - SearchSpace.id == thread.search_space_id - ) - search_space_result = await session.execute(search_space_query) - search_space = search_space_result.scalar_one_or_none() - is_search_space_owner = search_space and search_space.user_id == user.id + workspace_query = select(Workspace).filter(Workspace.id == thread.workspace_id) + workspace_result = await session.execute(workspace_query) + workspace = workspace_result.scalar_one_or_none() + is_workspace_owner = workspace and workspace.user_id == user.id - if is_search_space_owner: + if is_workspace_owner: return True # Legacy threads are not accessible to non-owners raise HTTPException( @@ -593,23 +591,23 @@ async def check_thread_access( @router.get("/threads", response_model=ThreadListResponse) async def list_threads( - search_space_id: int, + workspace_id: int, limit: int | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ - List all accessible threads for the current user in a search space. + List all accessible threads for the current user in a workspace. Returns threads and archived_threads for ThreadListPrimitive. A user can see threads that are: - Created by them (regardless of visibility) - - Shared with the search space (visibility = SEARCH_SPACE) - - Legacy threads with no creator (created_by_id is NULL) - only if user is search space owner + - Shared with the workspace (visibility = SEARCH_SPACE) + - Legacy threads with no creator (created_by_id is NULL) - only if user is workspace owner Args: - search_space_id: The search space to list threads for + workspace_id: The workspace to list threads for limit: Optional limit on number of threads to return (applies to active threads only) Requires CHATS_READ permission. @@ -618,36 +616,34 @@ async def list_threads( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.CHATS_READ.value, - "You don't have permission to read chats in this search space", + "You don't have permission to read chats in this workspace", ) - # Check if user is the search space owner (for legacy thread visibility) - search_space_query = select(SearchSpace).filter( - SearchSpace.id == search_space_id - ) - search_space_result = await session.execute(search_space_query) - search_space = search_space_result.scalar_one_or_none() - is_search_space_owner = search_space and search_space.user_id == user.id + # Check if user is the workspace owner (for legacy thread visibility) + workspace_query = select(Workspace).filter(Workspace.id == workspace_id) + workspace_result = await session.execute(workspace_query) + workspace = workspace_result.scalar_one_or_none() + is_workspace_owner = workspace and workspace.user_id == user.id # Build filter conditions: # 1. Created by the current user (any visibility) - # 2. Shared with the search space (visibility = SEARCH_SPACE) - # 3. Legacy threads (created_by_id is NULL) - only visible to search space owner + # 2. Shared with the workspace (visibility = SEARCH_SPACE) + # 3. Legacy threads (created_by_id is NULL) - only visible to workspace owner filter_conditions = [ NewChatThread.created_by_id == user.id, NewChatThread.visibility == ChatVisibility.SEARCH_SPACE, ] - # Only include legacy threads for the search space owner - if is_search_space_owner: + # Only include legacy threads for the workspace owner + if is_workspace_owner: filter_conditions.append(NewChatThread.created_by_id.is_(None)) query = ( select(NewChatThread) .filter( - NewChatThread.search_space_id == search_space_id, + NewChatThread.workspace_id == workspace_id, or_(*filter_conditions), ) .order_by(NewChatThread.updated_at.desc()) @@ -663,7 +659,7 @@ async def list_threads( for thread in all_threads: # Legacy threads (no creator) are treated as own threads for owner is_own_thread = thread.created_by_id == user.id or ( - thread.created_by_id is None and is_search_space_owner + thread.created_by_id is None and is_workspace_owner ) item = ThreadListItem( id=thread.id, @@ -701,22 +697,22 @@ async def list_threads( @router.get("/threads/search", response_model=list[ThreadListItem]) async def search_threads( - search_space_id: int, + workspace_id: int, title: str, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ - Search accessible threads by title in a search space. + Search accessible threads by title in a workspace. A user can search threads that are: - Created by them (regardless of visibility) - - Shared with the search space (visibility = SEARCH_SPACE) - - Legacy threads with no creator (created_by_id is NULL) - only if user is search space owner + - Shared with the workspace (visibility = SEARCH_SPACE) + - Legacy threads with no creator (created_by_id is NULL) - only if user is workspace owner Args: - search_space_id: The search space to search in + workspace_id: The workspace to search in title: The search query (case-insensitive partial match) Requires CHATS_READ permission. @@ -725,18 +721,16 @@ async def search_threads( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.CHATS_READ.value, - "You don't have permission to read chats in this search space", + "You don't have permission to read chats in this workspace", ) - # Check if user is the search space owner (for legacy thread visibility) - search_space_query = select(SearchSpace).filter( - SearchSpace.id == search_space_id - ) - search_space_result = await session.execute(search_space_query) - search_space = search_space_result.scalar_one_or_none() - is_search_space_owner = search_space and search_space.user_id == user.id + # Check if user is the workspace owner (for legacy thread visibility) + workspace_query = select(Workspace).filter(Workspace.id == workspace_id) + workspace_result = await session.execute(workspace_query) + workspace = workspace_result.scalar_one_or_none() + is_workspace_owner = workspace and workspace.user_id == user.id # Build filter conditions filter_conditions = [ @@ -744,15 +738,15 @@ async def search_threads( NewChatThread.visibility == ChatVisibility.SEARCH_SPACE, ] - # Only include legacy threads for the search space owner - if is_search_space_owner: + # Only include legacy threads for the workspace owner + if is_workspace_owner: filter_conditions.append(NewChatThread.created_by_id.is_(None)) # Search accessible threads by title (case-insensitive) query = ( select(NewChatThread) .filter( - NewChatThread.search_space_id == search_space_id, + NewChatThread.workspace_id == workspace_id, NewChatThread.title.ilike(f"%{title}%"), or_(*filter_conditions), ) @@ -772,7 +766,7 @@ async def search_threads( # Legacy threads (no creator) are treated as own threads for owner is_own_thread=( thread.created_by_id == user.id - or (thread.created_by_id is None and is_search_space_owner) + or (thread.created_by_id is None and is_workspace_owner) ), created_at=thread.created_at, updated_at=thread.updated_at, @@ -812,9 +806,9 @@ async def create_thread( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_CREATE.value, - "You don't have permission to create chats in this search space", + "You don't have permission to create chats in this workspace", ) now = datetime.now(UTC) @@ -822,7 +816,7 @@ async def create_thread( title=thread.title, archived=thread.archived, visibility=thread.visibility, - search_space_id=thread.search_space_id, + workspace_id=thread.workspace_id, created_by_id=user.id, updated_at=now, ) @@ -879,13 +873,13 @@ async def get_thread_messages( if not thread: raise HTTPException(status_code=404, detail="Thread not found") - # Check permission to read chats in this search space + # Check permission to read chats in this workspace await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_READ.value, - "You don't have permission to read chats in this search space", + "You don't have permission to read chats in this workspace", ) # Check thread-level access based on visibility @@ -971,9 +965,9 @@ async def get_thread_full( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_READ.value, - "You don't have permission to read chats in this search space", + "You don't have permission to read chats in this workspace", ) # Check thread-level access based on visibility @@ -1035,9 +1029,9 @@ async def update_thread( await check_permission( session, auth, - db_thread.search_space_id, + db_thread.workspace_id, Permission.CHATS_UPDATE.value, - "You don't have permission to update chats in this search space", + "You don't have permission to update chats in this workspace", ) # For PRIVATE threads, only the creator can update @@ -1104,16 +1098,16 @@ async def delete_thread( await check_permission( session, auth, - db_thread.search_space_id, + db_thread.workspace_id, Permission.CHATS_DELETE.value, - "You don't have permission to delete chats in this search space", + "You don't have permission to delete chats in this workspace", ) # For PRIVATE threads, only the creator can delete # For SEARCH_SPACE threads, any member with permission can delete # Legacy threads (created_by_id is NULL) have no recorded creator, # so we skip strict ownership and fall through to legacy handling - # which allows the search space owner to delete them + # which allows the workspace owner to delete them if db_thread.visibility == ChatVisibility.PRIVATE: await check_thread_access( session, @@ -1162,7 +1156,7 @@ async def update_thread_visibility( Only the creator of the thread can change its visibility. - PRIVATE: Only the creator can access the thread (default) - - SEARCH_SPACE: All members of the search space can access the thread + - SEARCH_SPACE: All members of the workspace can access the thread Requires CHATS_UPDATE permission. """ @@ -1178,9 +1172,9 @@ async def update_thread_visibility( await check_permission( session, auth, - db_thread.search_space_id, + db_thread.workspace_id, Permission.CHATS_UPDATE.value, - "You don't have permission to update chats in this search space", + "You don't have permission to update chats in this workspace", ) # Only the creator can change visibility @@ -1381,9 +1375,9 @@ async def append_message( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_UPDATE.value, - "You don't have permission to update chats in this search space", + "You don't have permission to update chats in this workspace", ) # Check thread-level access based on visibility @@ -1552,7 +1546,7 @@ async def append_message( call_details=token_usage_data.get("call_details"), thread_id=thread_id, message_id=db_message.id, - search_space_id=thread.search_space_id, + workspace_id=thread.workspace_id, user_id=user_uuid, ) .on_conflict_do_nothing( @@ -1632,9 +1626,9 @@ async def list_messages( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_READ.value, - "You don't have permission to read chats in this search space", + "You don't have permission to read chats in this workspace", ) # Check thread-level access based on visibility @@ -1730,9 +1724,9 @@ async def handle_new_chat( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_CREATE.value, - "You don't have permission to chat in this search space", + "You don't have permission to chat in this workspace", ) # Check thread-level access based on visibility @@ -1744,24 +1738,24 @@ async def handle_new_chat( local_mounts=request.local_filesystem_mounts, ) - # Get search space to check LLM config preferences - search_space_result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == request.search_space_id) + # Get workspace to check LLM config preferences + workspace_result = await session.execute( + select(Workspace).filter(Workspace.id == request.workspace_id) ) - search_space = search_space_result.scalars().first() + workspace = workspace_result.scalars().first() - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") + if not workspace: + raise HTTPException(status_code=404, detail="Workspace not found") # Use the converged model-connections role for chat operations. # Positive IDs load Model + Connection rows; negative IDs load # virtual GLOBAL models; 0 means Auto. llm_config_id = ( - search_space.chat_model_id if search_space.chat_model_id is not None else 0 + workspace.chat_model_id if workspace.chat_model_id is not None else 0 ) # Release the read-transaction so we don't hold ACCESS SHARE locks - # on searchspaces/documents for the entire duration of the stream. + # on workspaces/documents for the entire duration of the stream. # expire_on_commit=False keeps loaded ORM attrs usable. await session.commit() # Close the dependency session now so its connection returns to @@ -1791,7 +1785,7 @@ async def handle_new_chat( return StreamingResponse( stream_new_chat( user_query=request.user_query, - search_space_id=request.search_space_id, + workspace_id=request.workspace_id, chat_id=request.chat_id, user_id=str(user.id), llm_config_id=llm_config_id, @@ -1849,9 +1843,9 @@ async def cancel_active_turn( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_UPDATE.value, - "You don't have permission to update chats in this search space", + "You don't have permission to update chats in this workspace", ) await check_thread_access(session, thread, user) @@ -1901,9 +1895,9 @@ async def get_turn_status( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_READ.value, - "You don't have permission to view chats in this search space", + "You don't have permission to view chats in this workspace", ) await check_thread_access(session, thread, user) @@ -1965,9 +1959,9 @@ async def regenerate_response( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_UPDATE.value, - "You don't have permission to update chats in this search space", + "You don't have permission to update chats in this workspace", ) # Check thread-level access based on visibility @@ -2234,21 +2228,21 @@ async def regenerate_response( seen_turns.add(tid) revert_turn_ids.append(tid) - # Get search space for LLM config - search_space_result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == request.search_space_id) + # Get workspace for LLM config + workspace_result = await session.execute( + select(Workspace).filter(Workspace.id == request.workspace_id) ) - search_space = search_space_result.scalars().first() + workspace = workspace_result.scalars().first() - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") + if not workspace: + raise HTTPException(status_code=404, detail="Workspace not found") llm_config_id = ( - search_space.chat_model_id if search_space.chat_model_id is not None else 0 + workspace.chat_model_id if workspace.chat_model_id is not None else 0 ) # Release the read-transaction so we don't hold ACCESS SHARE locks - # on searchspaces/documents for the entire duration of the stream. + # on workspaces/documents for the entire duration of the stream. # expire_on_commit=False keeps loaded ORM attrs (including messages_to_delete PKs) usable. await session.commit() await session.close() @@ -2288,7 +2282,7 @@ async def regenerate_response( try: async for chunk in stream_new_chat( user_query=str(user_query_to_use), - search_space_id=request.search_space_id, + workspace_id=request.workspace_id, chat_id=thread_id, user_id=str(user.id), llm_config_id=llm_config_id, @@ -2390,9 +2384,9 @@ async def resume_chat( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_CREATE.value, - "You don't have permission to chat in this search space", + "You don't have permission to chat in this workspace", ) await check_thread_access(session, thread, user) @@ -2403,29 +2397,29 @@ async def resume_chat( local_mounts=request.local_filesystem_mounts, ) - search_space_result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == request.search_space_id) + workspace_result = await session.execute( + select(Workspace).filter(Workspace.id == request.workspace_id) ) - search_space = search_space_result.scalars().first() + workspace = workspace_result.scalars().first() - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") + if not workspace: + raise HTTPException(status_code=404, detail="Workspace not found") llm_config_id = ( - search_space.chat_model_id if search_space.chat_model_id is not None else 0 + workspace.chat_model_id if workspace.chat_model_id is not None else 0 ) decisions = [d.model_dump() for d in request.decisions] # Release the read-transaction so we don't hold ACCESS SHARE locks - # on searchspaces/documents for the entire duration of the stream. + # on workspaces/documents for the entire duration of the stream. await session.commit() await session.close() return StreamingResponse( stream_resume_chat( chat_id=thread_id, - search_space_id=request.search_space_id, + workspace_id=request.workspace_id, decisions=decisions, user_id=str(user.id), llm_config_id=llm_config_id, diff --git a/surfsense_backend/app/routes/notes_routes.py b/surfsense_backend/app/routes/notes_routes.py index eb3c66b5f..e421ceff4 100644 --- a/surfsense_backend/app/routes/notes_routes.py +++ b/surfsense_backend/app/routes/notes_routes.py @@ -23,9 +23,9 @@ class CreateNoteRequest(BaseModel): source_markdown: str | None = None -@router.post("/search-spaces/{search_space_id}/notes", response_model=DocumentRead) +@router.post("/workspaces/{workspace_id}/notes", response_model=DocumentRead) async def create_note( - search_space_id: int, + workspace_id: int, request: CreateNoteRequest, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -40,9 +40,9 @@ async def create_note( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_CREATE.value, - "You don't have permission to create notes in this search space", + "You don't have permission to create notes in this workspace", ) if not request.title or not request.title.strip(): @@ -58,7 +58,7 @@ async def create_note( # Create document with NOTE type document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=request.title.strip(), document_type=DocumentType.NOTE, content="", # Empty initially, will be populated on first save/reindex @@ -83,7 +83,7 @@ async def create_note( content_hash=document.content_hash, unique_identifier_hash=document.unique_identifier_hash, document_metadata=document.document_metadata, - search_space_id=document.search_space_id, + workspace_id=document.workspace_id, created_at=document.created_at, updated_at=document.updated_at, created_by_id=document.created_by_id, @@ -91,11 +91,11 @@ async def create_note( @router.get( - "/search-spaces/{search_space_id}/notes", + "/workspaces/{workspace_id}/notes", response_model=PaginatedResponse[DocumentRead], ) async def list_notes( - search_space_id: int, + workspace_id: int, skip: int | None = None, page: int | None = None, page_size: int = 50, @@ -103,7 +103,7 @@ async def list_notes( auth: AuthContext = Depends(get_auth_context), ): """ - List all notes in a search space. + List all notes in a workspace. Requires DOCUMENTS_READ permission. """ @@ -111,16 +111,16 @@ async def list_notes( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_READ.value, - "You don't have permission to read notes in this search space", + "You don't have permission to read notes in this workspace", ) from sqlalchemy import func # Build query query = select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.NOTE, ) @@ -128,7 +128,7 @@ async def list_notes( count_query = select(func.count()).select_from( select(Document) .where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.NOTE, ) .subquery() @@ -164,7 +164,7 @@ async def list_notes( content_hash=doc.content_hash, unique_identifier_hash=doc.unique_identifier_hash, document_metadata=doc.document_metadata, - search_space_id=doc.search_space_id, + workspace_id=doc.workspace_id, created_at=doc.created_at, updated_at=doc.updated_at, ) @@ -188,9 +188,9 @@ async def list_notes( ) -@router.delete("/search-spaces/{search_space_id}/notes/{note_id}") +@router.delete("/workspaces/{workspace_id}/notes/{note_id}") async def delete_note( - search_space_id: int, + workspace_id: int, note_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -204,16 +204,16 @@ async def delete_note( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.DOCUMENTS_DELETE.value, - "You don't have permission to delete notes in this search space", + "You don't have permission to delete notes in this workspace", ) # Get document result = await session.execute( select(Document).where( Document.id == note_id, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.NOTE, ) ) diff --git a/surfsense_backend/app/routes/notion_add_connector_route.py b/surfsense_backend/app/routes/notion_add_connector_route.py index b0fafb242..830e1c641 100644 --- a/surfsense_backend/app/routes/notion_add_connector_route.py +++ b/surfsense_backend/app/routes/notion_add_connector_route.py @@ -84,7 +84,7 @@ async def connect_notion( Initiate Notion OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -145,7 +145,7 @@ async def reauth_notion( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.NOTION_CONNECTOR, ) @@ -345,7 +345,7 @@ async def notion_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.NOTION_CONNECTOR, ) @@ -408,7 +408,7 @@ async def notion_callback( connector_type=SearchSourceConnectorType.NOTION_CONNECTOR, is_indexable=True, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) diff --git a/surfsense_backend/app/routes/oauth_connector_base.py b/surfsense_backend/app/routes/oauth_connector_base.py index 483caa6c2..42e99c262 100644 --- a/surfsense_backend/app/routes/oauth_connector_base.py +++ b/surfsense_backend/app/routes/oauth_connector_base.py @@ -415,7 +415,7 @@ class OAuthConnectorRoute: select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == oauth.connector_type, ) ) @@ -530,7 +530,7 @@ class OAuthConnectorRoute: select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == oauth.connector_type, ) ) @@ -597,7 +597,7 @@ class OAuthConnectorRoute: connector_type=oauth.connector_type, is_indexable=oauth.is_indexable, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) diff --git a/surfsense_backend/app/routes/obsidian_plugin_routes.py b/surfsense_backend/app/routes/obsidian_plugin_routes.py index 56623d61a..65adef33b 100644 --- a/surfsense_backend/app/routes/obsidian_plugin_routes.py +++ b/surfsense_backend/app/routes/obsidian_plugin_routes.py @@ -22,8 +22,8 @@ from app.db import ( DocumentType, SearchSourceConnector, SearchSourceConnectorType, - SearchSpace, User, + Workspace, get_async_session, ) from app.notifications.service import NotificationService @@ -54,7 +54,7 @@ from app.services.obsidian_plugin_indexer import ( ) from app.tasks.celery_tasks.obsidian_tasks import index_obsidian_attachment_task from app.users import allow_any_principal, get_auth_context -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access logger = logging.getLogger(__name__) @@ -102,7 +102,7 @@ async def _start_obsidian_sync_notification( operation_id=operation_id, title=f"Syncing: {connector_name}", message="Syncing from Obsidian plugin", - search_space_id=connector.search_space_id, + workspace_id=connector.workspace_id, initial_metadata={ "connector_id": connector.id, "connector_name": connector_name, @@ -195,7 +195,7 @@ async def _resolve_vault_connector( connector = (await session.execute(stmt)).scalars().first() if connector is not None: - await check_search_space_access(session, auth, connector.search_space_id) + await check_workspace_access(session, auth, connector.workspace_id) return connector raise HTTPException( @@ -222,17 +222,17 @@ def _queue_obsidian_attachment( ) -async def _ensure_search_space_access( +async def _ensure_workspace_access( session: AsyncSession, *, auth: AuthContext, - search_space_id: int, -) -> SearchSpace: - """Owner-only access to the search space (shared spaces are a follow-up).""" + workspace_id: int, +) -> Workspace: + """Owner-only access to the workspace (shared spaces are a follow-up).""" user = auth.user result = await session.execute( - select(SearchSpace).where( - and_(SearchSpace.id == search_space_id, SearchSpace.user_id == user.id) + select(Workspace).where( + and_(Workspace.id == workspace_id, Workspace.user_id == user.id) ) ) space = result.scalars().first() @@ -241,10 +241,10 @@ async def _ensure_search_space_access( status_code=status.HTTP_403_FORBIDDEN, detail={ "code": "SEARCH_SPACE_FORBIDDEN", - "message": "You don't own that search space.", + "message": "You don't own that workspace.", }, ) - await check_search_space_access(session, auth, search_space_id) + await check_workspace_access(session, auth, workspace_id) return space @@ -326,8 +326,8 @@ async def obsidian_connect( Fingerprint collisions on (1) trigger ``merge_obsidian_connectors`` so the partial unique index can never produce two live rows for one vault. """ - await _ensure_search_space_access( - session, auth=auth, search_space_id=payload.search_space_id + await _ensure_workspace_access( + session, auth=auth, workspace_id=payload.workspace_id ) user = auth.user @@ -354,7 +354,7 @@ async def obsidian_connect( response = ConnectResponse( connector_id=collision.id, vault_id=collision_cfg["vault_id"], - search_space_id=collision.search_space_id, + workspace_id=collision.workspace_id, server_time_utc=datetime.now(UTC), **_build_handshake(), ) @@ -363,12 +363,12 @@ async def obsidian_connect( existing_by_vid.name = display_name existing_by_vid.config = cfg - existing_by_vid.search_space_id = payload.search_space_id + existing_by_vid.workspace_id = payload.workspace_id existing_by_vid.is_indexable = False response = ConnectResponse( connector_id=existing_by_vid.id, vault_id=payload.vault_id, - search_space_id=existing_by_vid.search_space_id, + workspace_id=existing_by_vid.workspace_id, server_time_utc=datetime.now(UTC), **_build_handshake(), ) @@ -387,7 +387,7 @@ async def obsidian_connect( response = ConnectResponse( connector_id=existing_by_fp.id, vault_id=survivor_cfg["vault_id"], - search_space_id=existing_by_fp.search_space_id, + workspace_id=existing_by_fp.workspace_id, server_time_utc=datetime.now(UTC), **_build_handshake(), ) @@ -406,12 +406,12 @@ async def obsidian_connect( is_indexable=False, config=cfg, user_id=user.id, - search_space_id=payload.search_space_id, + workspace_id=payload.workspace_id, ) .on_conflict_do_nothing() .returning( SearchSourceConnector.id, - SearchSourceConnector.search_space_id, + SearchSourceConnector.workspace_id, ) ) inserted = (await session.execute(insert_stmt)).first() @@ -419,7 +419,7 @@ async def obsidian_connect( response = ConnectResponse( connector_id=inserted.id, vault_id=payload.vault_id, - search_space_id=inserted.search_space_id, + workspace_id=inserted.workspace_id, server_time_utc=datetime.now(UTC), **_build_handshake(), ) @@ -441,7 +441,7 @@ async def obsidian_connect( response = ConnectResponse( connector_id=winner.id, vault_id=(winner.config or {})["vault_id"], - search_space_id=winner.search_space_id, + workspace_id=winner.workspace_id, server_time_utc=datetime.now(UTC), **_build_handshake(), ) diff --git a/surfsense_backend/app/routes/onedrive_add_connector_route.py b/surfsense_backend/app/routes/onedrive_add_connector_route.py index 9c55d4fe7..9ccd9e80c 100644 --- a/surfsense_backend/app/routes/onedrive_add_connector_route.py +++ b/surfsense_backend/app/routes/onedrive_add_connector_route.py @@ -36,7 +36,7 @@ from app.utils.connector_naming import ( generate_unique_connector_name, ) from app.utils.oauth_security import OAuthStateManager, TokenEncryption -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access logger = logging.getLogger(__name__) router = APIRouter() @@ -134,7 +134,7 @@ async def reauth_onedrive( select(SearchSourceConnector).filter( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user.id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.ONEDRIVE_CONNECTOR, ) @@ -312,7 +312,7 @@ async def onedrive_callback( select(SearchSourceConnector).filter( SearchSourceConnector.id == reauth_connector_id, SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.workspace_id == space_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.ONEDRIVE_CONNECTOR, ) @@ -379,7 +379,7 @@ async def onedrive_callback( connector_type=SearchSourceConnectorType.ONEDRIVE_CONNECTOR, is_indexable=True, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) @@ -438,7 +438,7 @@ async def list_onedrive_folders( status_code=404, detail="OneDrive connector not found or access denied" ) - await check_search_space_access(session, auth, connector.search_space_id) + await check_workspace_access(session, auth, connector.workspace_id) onedrive_client = OneDriveClient(session, connector_id) items, error = await list_folder_contents(onedrive_client, parent_id=parent_id) diff --git a/surfsense_backend/app/routes/prompts_routes.py b/surfsense_backend/app/routes/prompts_routes.py index b4cb1466c..b7a989d82 100644 --- a/surfsense_backend/app/routes/prompts_routes.py +++ b/surfsense_backend/app/routes/prompts_routes.py @@ -4,7 +4,7 @@ from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.orm import selectinload from app.auth.context import AuthContext -from app.db import Prompt, SearchSpaceMembership, get_async_session +from app.db import Prompt, WorkspaceMembership, get_async_session from app.schemas.prompts import ( PromptCreate, PromptRead, @@ -18,14 +18,14 @@ router = APIRouter(tags=["Prompts"]) @router.get("/prompts", response_model=list[PromptRead]) async def list_prompts( - search_space_id: int | None = None, + workspace_id: int | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(require_session_context), ): user = auth.user query = select(Prompt).where(Prompt.user_id == user.id) - if search_space_id is not None: - query = query.where(Prompt.search_space_id == search_space_id) + if workspace_id is not None: + query = query.where(Prompt.workspace_id == workspace_id) query = query.order_by(Prompt.created_at.desc()) result = await session.execute(query) return result.scalars().all() @@ -38,22 +38,22 @@ async def create_prompt( auth: AuthContext = Depends(require_session_context), ): user = auth.user - if body.search_space_id is not None: + if body.workspace_id is not None: membership = await session.execute( - select(SearchSpaceMembership).where( - SearchSpaceMembership.user_id == user.id, - SearchSpaceMembership.search_space_id == body.search_space_id, + select(WorkspaceMembership).where( + WorkspaceMembership.user_id == user.id, + WorkspaceMembership.workspace_id == body.workspace_id, ) ) if not membership.scalar_one_or_none(): raise HTTPException( status_code=403, - detail="You are not a member of this search space", + detail="You are not a member of this workspace", ) prompt = Prompt( user_id=user.id, - search_space_id=body.search_space_id, + workspace_id=body.workspace_id, name=body.name, prompt=body.prompt, mode=body.mode, diff --git a/surfsense_backend/app/routes/rbac_routes.py b/surfsense_backend/app/routes/rbac_routes.py index e1122b2bb..2d8f58d33 100644 --- a/surfsense_backend/app/routes/rbac_routes.py +++ b/surfsense_backend/app/routes/rbac_routes.py @@ -2,9 +2,9 @@ RBAC (Role-Based Access Control) routes for managing roles, memberships, and invites. Endpoints: -- /searchspaces/{search_space_id}/roles - CRUD for roles -- /searchspaces/{search_space_id}/members - CRUD for memberships -- /searchspaces/{search_space_id}/invites - CRUD for invites +- /workspaces/{workspace_id}/roles - CRUD for roles +- /workspaces/{workspace_id}/members - CRUD for memberships +- /workspaces/{workspace_id}/invites - CRUD for invites - /invites/{invite_code}/info - Get invite info (public) - /invites/accept - Accept an invite - /permissions - List all available permissions @@ -21,11 +21,11 @@ from sqlalchemy.orm import selectinload from app.auth.context import AuthContext from app.db import ( Permission, - SearchSpace, - SearchSpaceInvite, - SearchSpaceMembership, - SearchSpaceRole, User, + Workspace, + WorkspaceInvite, + WorkspaceMembership, + WorkspaceRole, get_async_session, ) from app.schemas import ( @@ -42,12 +42,12 @@ from app.schemas import ( RoleCreate, RoleRead, RoleUpdate, - UserSearchSpaceAccess, + UserWorkspaceAccess, ) from app.users import get_auth_context from app.utils.rbac import ( check_permission, - check_search_space_access, + check_workspace_access, generate_invite_code, get_default_role, get_user_permissions, @@ -63,10 +63,10 @@ router = APIRouter() # Human-readable descriptions for each permission PERMISSION_DESCRIPTIONS = { # Documents - "documents:create": "Add new documents, files, and content to the search space", - "documents:read": "View and search documents in the search space", + "documents:create": "Add new documents, files, and content to the workspace", + "documents:read": "View and search documents in the workspace", "documents:update": "Edit existing documents and their metadata", - "documents:delete": "Remove documents from the search space", + "documents:delete": "Remove documents from the workspace", # Chats "chats:create": "Start new AI chat conversations", "chats:read": "View chat history and conversations", @@ -97,7 +97,7 @@ PERMISSION_DESCRIPTIONS = { # Members "members:invite": "Send invitations to new team members", "members:view": "View the list of team members", - "members:remove": "Remove members from the search space", + "members:remove": "Remove members from the workspace", "members:manage_roles": "Assign and change member roles", # Roles "roles:create": "Create new custom roles", @@ -105,16 +105,16 @@ PERMISSION_DESCRIPTIONS = { "roles:update": "Modify role permissions", "roles:delete": "Remove custom roles", # Settings - "settings:view": "View search space settings", - "settings:update": "Modify search space settings", - "settings:delete": "Delete the entire search space", + "settings:view": "View workspace settings", + "settings:update": "Modify workspace settings", + "settings:delete": "Delete the entire workspace", # API access - "api_access:manage": "Enable or disable programmatic API access for a search space", + "api_access:manage": "Enable or disable programmatic API access for a workspace", # Automations "automations:create": "Create automations from chat or JSON", "automations:read": "View automations, their triggers, and run history", "automations:update": "Edit automations and manage their triggers", - "automations:delete": "Remove automations from the search space", + "automations:delete": "Remove automations from the workspace", "automations:execute": "Manually fire automations", # Full access "*": "Full access to all features and settings", @@ -152,39 +152,39 @@ async def list_all_permissions( @router.post( - "/searchspaces/{search_space_id}/roles", + "/workspaces/{workspace_id}/roles", response_model=RoleRead, ) async def create_role( - search_space_id: int, + workspace_id: int, role_data: RoleCreate, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - Create a new custom role in a search space. + Create a new custom role in a workspace. Requires ROLES_CREATE permission. """ try: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.ROLES_CREATE.value, "You don't have permission to create roles", ) # Check if role with same name already exists result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.search_space_id == search_space_id, - SearchSpaceRole.name == role_data.name, + select(WorkspaceRole).filter( + WorkspaceRole.workspace_id == workspace_id, + WorkspaceRole.name == role_data.name, ) ) if result.scalars().first(): raise HTTPException( status_code=409, - detail=f"A role with name '{role_data.name}' already exists in this search space", + detail=f"A role with name '{role_data.name}' already exists in this workspace", ) # Validate permissions @@ -199,23 +199,23 @@ async def create_role( # If setting is_default to True, unset any existing default if role_data.is_default: await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.search_space_id == search_space_id, - SearchSpaceRole.is_default == True, # noqa: E712 + select(WorkspaceRole).filter( + WorkspaceRole.workspace_id == workspace_id, + WorkspaceRole.is_default == True, # noqa: E712 ) ) existing_defaults = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.search_space_id == search_space_id, - SearchSpaceRole.is_default == True, # noqa: E712 + select(WorkspaceRole).filter( + WorkspaceRole.workspace_id == workspace_id, + WorkspaceRole.is_default == True, # noqa: E712 ) ) for existing in existing_defaults.scalars().all(): existing.is_default = False - db_role = SearchSpaceRole( + db_role = WorkspaceRole( **role_data.model_dump(), - search_space_id=search_space_id, + workspace_id=workspace_id, is_system_role=False, ) session.add(db_role) @@ -234,31 +234,29 @@ async def create_role( @router.get( - "/searchspaces/{search_space_id}/roles", + "/workspaces/{workspace_id}/roles", response_model=list[RoleRead], ) async def list_roles( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - List all roles in a search space. + List all roles in a workspace. Requires ROLES_READ permission. """ try: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.ROLES_READ.value, "You don't have permission to view roles", ) result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.search_space_id == search_space_id - ) + select(WorkspaceRole).filter(WorkspaceRole.workspace_id == workspace_id) ) return result.scalars().all() @@ -271,11 +269,11 @@ async def list_roles( @router.get( - "/searchspaces/{search_space_id}/roles/{role_id}", + "/workspaces/{workspace_id}/roles/{role_id}", response_model=RoleRead, ) async def get_role( - search_space_id: int, + workspace_id: int, role_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -288,15 +286,15 @@ async def get_role( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.ROLES_READ.value, "You don't have permission to view roles", ) result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.id == role_id, - SearchSpaceRole.search_space_id == search_space_id, + select(WorkspaceRole).filter( + WorkspaceRole.id == role_id, + WorkspaceRole.workspace_id == workspace_id, ) ) role = result.scalars().first() @@ -315,11 +313,11 @@ async def get_role( @router.put( - "/searchspaces/{search_space_id}/roles/{role_id}", + "/workspaces/{workspace_id}/roles/{role_id}", response_model=RoleRead, ) async def update_role( - search_space_id: int, + workspace_id: int, role_id: int, role_update: RoleUpdate, session: AsyncSession = Depends(get_async_session), @@ -334,15 +332,15 @@ async def update_role( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.ROLES_UPDATE.value, "You don't have permission to update roles", ) result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.id == role_id, - SearchSpaceRole.search_space_id == search_space_id, + select(WorkspaceRole).filter( + WorkspaceRole.id == role_id, + WorkspaceRole.workspace_id == workspace_id, ) ) db_role = result.scalars().first() @@ -365,9 +363,9 @@ async def update_role( # Check for name conflict if updating name if "name" in update_data and update_data["name"] != db_role.name: existing = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.search_space_id == search_space_id, - SearchSpaceRole.name == update_data["name"], + select(WorkspaceRole).filter( + WorkspaceRole.workspace_id == workspace_id, + WorkspaceRole.name == update_data["name"], ) ) if existing.scalars().first(): @@ -390,9 +388,9 @@ async def update_role( if update_data.get("is_default") and not db_role.is_default: # Unset existing default existing_defaults = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.search_space_id == search_space_id, - SearchSpaceRole.is_default == True, # noqa: E712 + select(WorkspaceRole).filter( + WorkspaceRole.workspace_id == workspace_id, + WorkspaceRole.is_default == True, # noqa: E712 ) ) for existing in existing_defaults.scalars().all(): @@ -415,9 +413,9 @@ async def update_role( ) from e -@router.delete("/searchspaces/{search_space_id}/roles/{role_id}") +@router.delete("/workspaces/{workspace_id}/roles/{role_id}") async def delete_role( - search_space_id: int, + workspace_id: int, role_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -431,15 +429,15 @@ async def delete_role( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.ROLES_DELETE.value, "You don't have permission to delete roles", ) result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.id == role_id, - SearchSpaceRole.search_space_id == search_space_id, + select(WorkspaceRole).filter( + WorkspaceRole.id == role_id, + WorkspaceRole.workspace_id == workspace_id, ) ) db_role = result.scalars().first() @@ -471,31 +469,31 @@ async def delete_role( @router.get( - "/searchspaces/{search_space_id}/members", + "/workspaces/{workspace_id}/members", response_model=list[MembershipRead], ) async def list_members( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - List all members of a search space. + List all members of a workspace. Requires MEMBERS_VIEW permission. """ try: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.MEMBERS_VIEW.value, "You don't have permission to view members", ) result = await session.execute( - select(SearchSpaceMembership) - .options(selectinload(SearchSpaceMembership.role)) - .filter(SearchSpaceMembership.search_space_id == search_space_id) + select(WorkspaceMembership) + .options(selectinload(WorkspaceMembership.role)) + .filter(WorkspaceMembership.workspace_id == workspace_id) ) memberships = result.scalars().all() @@ -510,7 +508,7 @@ async def list_members( membership_dict = { "id": membership.id, "user_id": membership.user_id, - "search_space_id": membership.search_space_id, + "workspace_id": membership.workspace_id, "role_id": membership.role_id, "is_owner": membership.is_owner, "joined_at": membership.joined_at, @@ -534,11 +532,11 @@ async def list_members( @router.put( - "/searchspaces/{search_space_id}/members/{membership_id}", + "/workspaces/{workspace_id}/members/{membership_id}", response_model=MembershipRead, ) async def update_member_role( - search_space_id: int, + workspace_id: int, membership_id: int, membership_update: MembershipUpdate, session: AsyncSession = Depends(get_async_session), @@ -553,17 +551,17 @@ async def update_member_role( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.MEMBERS_MANAGE_ROLES.value, "You don't have permission to manage member roles", ) result = await session.execute( - select(SearchSpaceMembership) - .options(selectinload(SearchSpaceMembership.role)) + select(WorkspaceMembership) + .options(selectinload(WorkspaceMembership.role)) .filter( - SearchSpaceMembership.id == membership_id, - SearchSpaceMembership.search_space_id == search_space_id, + WorkspaceMembership.id == membership_id, + WorkspaceMembership.workspace_id == workspace_id, ) ) db_membership = result.scalars().first() @@ -578,18 +576,18 @@ async def update_member_role( detail="Cannot change the owner's role", ) - # Verify the new role exists in this search space + # Verify the new role exists in this workspace if membership_update.role_id: role_result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.id == membership_update.role_id, - SearchSpaceRole.search_space_id == search_space_id, + select(WorkspaceRole).filter( + WorkspaceRole.id == membership_update.role_id, + WorkspaceRole.workspace_id == workspace_id, ) ) if not role_result.scalars().first(): raise HTTPException( status_code=404, - detail="Role not found in this search space", + detail="Role not found in this workspace", ) db_membership.role_id = membership_update.role_id @@ -605,7 +603,7 @@ async def update_member_role( return { "id": db_membership.id, "user_id": db_membership.user_id, - "search_space_id": db_membership.search_space_id, + "workspace_id": db_membership.workspace_id, "role_id": db_membership.role_id, "is_owner": db_membership.is_owner, "joined_at": db_membership.joined_at, @@ -628,22 +626,22 @@ async def update_member_role( # NOTE: /members/me must be defined BEFORE /members/{membership_id} # because FastAPI matches routes in order, and "me" would otherwise # be interpreted as a membership_id (causing a 422 validation error) -@router.delete("/searchspaces/{search_space_id}/members/me") -async def leave_search_space( - search_space_id: int, +@router.delete("/workspaces/{workspace_id}/members/me") +async def leave_workspace( + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ - Leave a search space (remove own membership). - Owners cannot leave their search space. + Leave a workspace (remove own membership). + Owners cannot leave their workspace. """ try: result = await session.execute( - select(SearchSpaceMembership).filter( - SearchSpaceMembership.user_id == user.id, - SearchSpaceMembership.search_space_id == search_space_id, + select(WorkspaceMembership).filter( + WorkspaceMembership.user_id == user.id, + WorkspaceMembership.workspace_id == workspace_id, ) ) db_membership = result.scalars().first() @@ -651,38 +649,38 @@ async def leave_search_space( if not db_membership: raise HTTPException( status_code=404, - detail="You are not a member of this search space", + detail="You are not a member of this workspace", ) if db_membership.is_owner: raise HTTPException( status_code=400, - detail="Owners cannot leave their search space. Transfer ownership first or delete the search space.", + detail="Owners cannot leave their workspace. Transfer ownership first or delete the workspace.", ) await session.delete(db_membership) await session.commit() - return {"message": "Successfully left the search space"} + return {"message": "Successfully left the workspace"} except HTTPException: raise except Exception as e: await session.rollback() - logger.error(f"Failed to leave search space: {e!s}", exc_info=True) + logger.error(f"Failed to leave workspace: {e!s}", exc_info=True) raise HTTPException( - status_code=500, detail=f"Failed to leave search space: {e!s}" + status_code=500, detail=f"Failed to leave workspace: {e!s}" ) from e -@router.delete("/searchspaces/{search_space_id}/members/{membership_id}") +@router.delete("/workspaces/{workspace_id}/members/{membership_id}") async def remove_member( - search_space_id: int, + workspace_id: int, membership_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - Remove a member from a search space. + Remove a member from a workspace. Requires MEMBERS_REMOVE permission. Cannot remove the owner. """ @@ -690,15 +688,15 @@ async def remove_member( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.MEMBERS_REMOVE.value, "You don't have permission to remove members", ) result = await session.execute( - select(SearchSpaceMembership).filter( - SearchSpaceMembership.id == membership_id, - SearchSpaceMembership.search_space_id == search_space_id, + select(WorkspaceMembership).filter( + WorkspaceMembership.id == membership_id, + WorkspaceMembership.workspace_id == workspace_id, ) ) db_membership = result.scalars().first() @@ -709,7 +707,7 @@ async def remove_member( if db_membership.is_owner: raise HTTPException( status_code=400, - detail="Cannot remove the owner from the search space", + detail="Cannot remove the owner from the workspace", ) await session.delete(db_membership) @@ -730,25 +728,25 @@ async def remove_member( @router.post( - "/searchspaces/{search_space_id}/invites", + "/workspaces/{workspace_id}/invites", response_model=InviteRead, ) async def create_invite( - search_space_id: int, + workspace_id: int, invite_data: InviteCreate, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ - Create a new invite link for a search space. + Create a new invite link for a workspace. Requires MEMBERS_INVITE permission. """ try: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.MEMBERS_INVITE.value, "You don't have permission to create invites", ) @@ -756,21 +754,21 @@ async def create_invite( # Verify role exists if specified if invite_data.role_id: role_result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.id == invite_data.role_id, - SearchSpaceRole.search_space_id == search_space_id, + select(WorkspaceRole).filter( + WorkspaceRole.id == invite_data.role_id, + WorkspaceRole.workspace_id == workspace_id, ) ) if not role_result.scalars().first(): raise HTTPException( status_code=404, - detail="Role not found in this search space", + detail="Role not found in this workspace", ) - db_invite = SearchSpaceInvite( + db_invite = WorkspaceInvite( **invite_data.model_dump(), invite_code=generate_invite_code(), - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user.id, ) session.add(db_invite) @@ -778,9 +776,9 @@ async def create_invite( # Reload with role result = await session.execute( - select(SearchSpaceInvite) - .options(selectinload(SearchSpaceInvite.role)) - .filter(SearchSpaceInvite.id == db_invite.id) + select(WorkspaceInvite) + .options(selectinload(WorkspaceInvite.role)) + .filter(WorkspaceInvite.id == db_invite.id) ) db_invite = result.scalars().first() @@ -797,31 +795,31 @@ async def create_invite( @router.get( - "/searchspaces/{search_space_id}/invites", + "/workspaces/{workspace_id}/invites", response_model=list[InviteRead], ) async def list_invites( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - List all invites for a search space. + List all invites for a workspace. Requires MEMBERS_INVITE permission. """ try: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.MEMBERS_INVITE.value, "You don't have permission to view invites", ) result = await session.execute( - select(SearchSpaceInvite) - .options(selectinload(SearchSpaceInvite.role)) - .filter(SearchSpaceInvite.search_space_id == search_space_id) + select(WorkspaceInvite) + .options(selectinload(WorkspaceInvite.role)) + .filter(WorkspaceInvite.workspace_id == workspace_id) ) return result.scalars().all() @@ -834,11 +832,11 @@ async def list_invites( @router.put( - "/searchspaces/{search_space_id}/invites/{invite_id}", + "/workspaces/{workspace_id}/invites/{invite_id}", response_model=InviteRead, ) async def update_invite( - search_space_id: int, + workspace_id: int, invite_id: int, invite_update: InviteUpdate, session: AsyncSession = Depends(get_async_session), @@ -852,17 +850,17 @@ async def update_invite( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.MEMBERS_INVITE.value, "You don't have permission to update invites", ) result = await session.execute( - select(SearchSpaceInvite) - .options(selectinload(SearchSpaceInvite.role)) + select(WorkspaceInvite) + .options(selectinload(WorkspaceInvite.role)) .filter( - SearchSpaceInvite.id == invite_id, - SearchSpaceInvite.search_space_id == search_space_id, + WorkspaceInvite.id == invite_id, + WorkspaceInvite.workspace_id == workspace_id, ) ) db_invite = result.scalars().first() @@ -875,15 +873,15 @@ async def update_invite( # Verify role exists if updating role_id if update_data.get("role_id"): role_result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.id == update_data["role_id"], - SearchSpaceRole.search_space_id == search_space_id, + select(WorkspaceRole).filter( + WorkspaceRole.id == update_data["role_id"], + WorkspaceRole.workspace_id == workspace_id, ) ) if not role_result.scalars().first(): raise HTTPException( status_code=404, - detail="Role not found in this search space", + detail="Role not found in this workspace", ) for key, value in update_data.items(): @@ -903,9 +901,9 @@ async def update_invite( ) from e -@router.delete("/searchspaces/{search_space_id}/invites/{invite_id}") +@router.delete("/workspaces/{workspace_id}/invites/{invite_id}") async def revoke_invite( - search_space_id: int, + workspace_id: int, invite_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -918,15 +916,15 @@ async def revoke_invite( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.MEMBERS_INVITE.value, "You don't have permission to revoke invites", ) result = await session.execute( - select(SearchSpaceInvite).filter( - SearchSpaceInvite.id == invite_id, - SearchSpaceInvite.search_space_id == search_space_id, + select(WorkspaceInvite).filter( + WorkspaceInvite.id == invite_id, + WorkspaceInvite.workspace_id == workspace_id, ) ) db_invite = result.scalars().first() @@ -962,18 +960,18 @@ async def get_invite_info( """ try: result = await session.execute( - select(SearchSpaceInvite) + select(WorkspaceInvite) .options( - selectinload(SearchSpaceInvite.role), - selectinload(SearchSpaceInvite.search_space), + selectinload(WorkspaceInvite.role), + selectinload(WorkspaceInvite.workspace), ) - .filter(SearchSpaceInvite.invite_code == invite_code) + .filter(WorkspaceInvite.invite_code == invite_code) ) invite = result.scalars().first() if not invite: return InviteInfoResponse( - search_space_name="", + workspace_name="", role_name=None, is_valid=False, message="Invite not found", @@ -982,9 +980,7 @@ async def get_invite_info( # Check if invite is still valid if not invite.is_active: return InviteInfoResponse( - search_space_name=invite.search_space.name - if invite.search_space - else "", + workspace_name=invite.workspace.name if invite.workspace else "", role_name=invite.role.name if invite.role else None, is_valid=False, message="This invite is no longer active", @@ -992,9 +988,7 @@ async def get_invite_info( if invite.expires_at and invite.expires_at < datetime.now(UTC): return InviteInfoResponse( - search_space_name=invite.search_space.name - if invite.search_space - else "", + workspace_name=invite.workspace.name if invite.workspace else "", role_name=invite.role.name if invite.role else None, is_valid=False, message="This invite has expired", @@ -1002,16 +996,14 @@ async def get_invite_info( if invite.max_uses and invite.uses_count >= invite.max_uses: return InviteInfoResponse( - search_space_name=invite.search_space.name - if invite.search_space - else "", + workspace_name=invite.workspace.name if invite.workspace else "", role_name=invite.role.name if invite.role else None, is_valid=False, message="This invite has reached its maximum uses", ) return InviteInfoResponse( - search_space_name=invite.search_space.name if invite.search_space else "", + workspace_name=invite.workspace.name if invite.workspace else "", role_name=invite.role.name if invite.role else "Default", is_valid=True, ) @@ -1031,16 +1023,16 @@ async def accept_invite( ): user = auth.user """ - Accept an invite and join a search space. + Accept an invite and join a workspace. """ try: result = await session.execute( - select(SearchSpaceInvite) + select(WorkspaceInvite) .options( - selectinload(SearchSpaceInvite.role), - selectinload(SearchSpaceInvite.search_space), + selectinload(WorkspaceInvite.role), + selectinload(WorkspaceInvite.workspace), ) - .filter(SearchSpaceInvite.invite_code == request.invite_code) + .filter(WorkspaceInvite.invite_code == request.invite_code) ) invite = result.scalars().first() @@ -1063,28 +1055,28 @@ async def accept_invite( # Check if user is already a member existing_membership = await session.execute( - select(SearchSpaceMembership).filter( - SearchSpaceMembership.user_id == user.id, - SearchSpaceMembership.search_space_id == invite.search_space_id, + select(WorkspaceMembership).filter( + WorkspaceMembership.user_id == user.id, + WorkspaceMembership.workspace_id == invite.workspace_id, ) ) if existing_membership.scalars().first(): raise HTTPException( status_code=400, - detail="You are already a member of this search space", + detail="You are already a member of this workspace", ) # Determine role to assign role_id = invite.role_id if not role_id: # Use default role - default_role = await get_default_role(session, invite.search_space_id) + default_role = await get_default_role(session, invite.workspace_id) role_id = default_role.id if default_role else None # Create membership - membership = SearchSpaceMembership( + membership = WorkspaceMembership( user_id=user.id, - search_space_id=invite.search_space_id, + workspace_id=invite.workspace_id, role_id=role_id, is_owner=False, invited_by_invite_id=invite.id, @@ -1097,12 +1089,12 @@ async def accept_invite( await session.commit() role_name = invite.role.name if invite.role else "Default" - search_space_name = invite.search_space.name if invite.search_space else "" + workspace_name = invite.workspace.name if invite.workspace else "" return InviteAcceptResponse( - message="Successfully joined the search space", - search_space_id=invite.search_space_id, - search_space_name=search_space_name, + message="Successfully joined the workspace", + workspace_id=invite.workspace_id, + workspace_name=workspace_name, role_name=role_name, ) @@ -1120,33 +1112,33 @@ async def accept_invite( @router.get( - "/searchspaces/{search_space_id}/my-access", - response_model=UserSearchSpaceAccess, + "/workspaces/{workspace_id}/my-access", + response_model=UserWorkspaceAccess, ) async def get_my_access( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ - Get the current user's access info for a search space. + Get the current user's access info for a workspace. """ try: - membership = await check_search_space_access(session, auth, search_space_id) + membership = await check_workspace_access(session, auth, workspace_id) - # Get search space name + # Get workspace name result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) + select(Workspace).filter(Workspace.id == workspace_id) ) - search_space = result.scalars().first() + workspace = result.scalars().first() # Get permissions - permissions = await get_user_permissions(session, user.id, search_space_id) + permissions = await get_user_permissions(session, user.id, workspace_id) - return UserSearchSpaceAccess( - search_space_id=search_space_id, - search_space_name=search_space.name if search_space else "", + return UserWorkspaceAccess( + workspace_id=workspace_id, + workspace_name=workspace.name if workspace else "", is_owner=membership.is_owner, role_name=membership.role.name if membership.role else None, permissions=permissions, diff --git a/surfsense_backend/app/routes/reports_routes.py b/surfsense_backend/app/routes/reports_routes.py index bdcf8a874..2fc917b92 100644 --- a/surfsense_backend/app/routes/reports_routes.py +++ b/surfsense_backend/app/routes/reports_routes.py @@ -8,7 +8,7 @@ Export is on-demand in multiple formats (PDF, DOCX, HTML, LaTeX, EPUB, ODT, plain text). PDF uses pypandoc (Markdown->Typst) + typst-py; the rest use pypandoc directly with format-specific templates and options. -Authorization: lightweight search-space membership checks (no granular RBAC) +Authorization: lightweight workspace membership checks (no granular RBAC) since reports are chat-generated artifacts, not standalone managed resources. """ @@ -31,8 +31,8 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.auth.context import AuthContext from app.db import ( Report, - SearchSpace, - SearchSpaceMembership, + Workspace, + WorkspaceMembership, get_async_session, ) from app.schemas import ReportContentRead, ReportContentUpdate, ReportRead @@ -43,7 +43,7 @@ from app.templates.export_helpers import ( get_typst_template_path, ) from app.users import get_auth_context -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access logger = logging.getLogger(__name__) @@ -160,7 +160,7 @@ async def _get_report_with_access( session: AsyncSession, auth: AuthContext, ) -> Report: - """Fetch a report and verify the user belongs to its search space. + """Fetch a report and verify the user belongs to its workspace. Raises HTTPException(404) if not found, HTTPException(403) if no access. """ @@ -171,8 +171,8 @@ async def _get_report_with_access( raise HTTPException(status_code=404, detail="Report not found") # Lightweight membership check - no granular RBAC, just "is the user a - # member of the search space this report belongs to?" - await check_search_space_access(session, auth, report.search_space_id) + # member of the workspace this report belongs to?" + await check_workspace_access(session, auth, report.workspace_id) return report @@ -204,23 +204,23 @@ async def _get_version_siblings( async def read_reports( skip: int = Query(default=0, ge=0), limit: int = Query(default=100, ge=1, le=MAX_REPORT_LIST_LIMIT), - search_space_id: int | None = None, + workspace_id: int | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ List reports the user has access to. - Filters by search space membership. + Filters by workspace membership. """ try: - if search_space_id is not None: - # Verify the caller is a member of the requested search space - await check_search_space_access(session, auth, search_space_id) + if workspace_id is not None: + # Verify the caller is a member of the requested workspace + await check_workspace_access(session, auth, workspace_id) result = await session.execute( select(Report) - .filter(Report.search_space_id == search_space_id) + .filter(Report.workspace_id == workspace_id) .order_by(Report.id.desc()) .offset(skip) .limit(limit) @@ -228,9 +228,9 @@ async def read_reports( else: result = await session.execute( select(Report) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) .order_by(Report.id.desc()) .offset(skip) .limit(limit) @@ -307,7 +307,7 @@ async def update_report_content( """ Update the Markdown content of a report. - The caller must be a member of the search space the report belongs to. + The caller must be a member of the workspace the report belongs to. Returns the updated report content including version siblings. """ try: diff --git a/surfsense_backend/app/routes/sandbox_routes.py b/surfsense_backend/app/routes/sandbox_routes.py index c04abe9ee..8ac0a8b90 100644 --- a/surfsense_backend/app/routes/sandbox_routes.py +++ b/surfsense_backend/app/routes/sandbox_routes.py @@ -70,7 +70,7 @@ async def download_sandbox_file( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.CHATS_READ.value, "You don't have permission to access files in this thread", ) diff --git a/surfsense_backend/app/routes/search_source_connectors_routes.py b/surfsense_backend/app/routes/search_source_connectors_routes.py index 718b4b907..4cfa78af2 100644 --- a/surfsense_backend/app/routes/search_source_connectors_routes.py +++ b/surfsense_backend/app/routes/search_source_connectors_routes.py @@ -1,21 +1,21 @@ """ SearchSourceConnector routes for CRUD operations: POST /search-source-connectors/ - Create a new connector -GET /search-source-connectors/ - List all connectors for the current user (optionally filtered by search space) +GET /search-source-connectors/ - List all connectors for the current user (optionally filtered by workspace) GET /search-source-connectors/{connector_id} - Get a specific connector PUT /search-source-connectors/{connector_id} - Update a specific connector DELETE /search-source-connectors/{connector_id} - Delete a specific connector -POST /search-source-connectors/{connector_id}/index - Index content from a connector to a search space +POST /search-source-connectors/{connector_id}/index - Index content from a connector to a workspace MCP (Model Context Protocol) Connector routes: POST /connectors/mcp - Create a new MCP connector with custom API tools -GET /connectors/mcp - List all MCP connectors for the current user's search space +GET /connectors/mcp - List all MCP connectors for the current user's workspace GET /connectors/mcp/{connector_id} - Get a specific MCP connector with tools config PUT /connectors/mcp/{connector_id} - Update an MCP connector's tools config DELETE /connectors/mcp/{connector_id} - Delete an MCP connector -Note: OAuth connectors (Gmail, Drive, Slack, etc.) support multiple accounts per search space. -Non-OAuth connectors (BookStack, GitHub, etc.) are limited to one per search space. +Note: OAuth connectors (Gmail, Drive, Slack, etc.) support multiple accounts per workspace. +Non-OAuth connectors (BookStack, GitHub, etc.) are limited to one per workspace. """ import asyncio @@ -73,6 +73,7 @@ from app.utils.periodic_scheduler import ( update_periodic_schedule, ) from app.utils.rbac import check_permission +from app.utils.validators import raise_if_connector_deprecated # Set up logging logger = logging.getLogger(__name__) @@ -170,8 +171,8 @@ async def list_github_repositories( @router.post("/search-source-connectors", response_model=SearchSourceConnectorRead) async def create_search_source_connector( connector: SearchSourceConnectorCreate, - search_space_id: int = Query( - ..., description="ID of the search space to associate the connector with" + workspace_id: int = Query( + ..., description="ID of the workspace to associate the connector with" ), session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), @@ -181,26 +182,32 @@ async def create_search_source_connector( Create a new search source connector. Requires CONNECTORS_CREATE permission. - Each search space can have only one connector of each type (based on search_space_id and connector_type). + Each workspace can have only one connector of each type (based on workspace_id and connector_type). The config must contain the appropriate keys for the connector type. """ try: + # Refuse new connections for deprecated connector types (HTTP 410). The + # search APIs (Tavily/SearXNG/Linkup/Baidu) are created through this + # generic route rather than a dedicated OAuth route, so this is the + # single choke point that must enforce the deprecation. + raise_if_connector_deprecated(connector.connector_type) + # Check if user has permission to create connectors await check_permission( session, auth, - search_space_id, + workspace_id, Permission.CONNECTORS_CREATE.value, - "You don't have permission to create connectors in this search space", + "You don't have permission to create connectors in this workspace", ) - # Check if a connector with the same type already exists for this search space + # Check if a connector with the same type already exists for this workspace # (for non-OAuth connectors that don't support multiple accounts) # Exception: MCP_CONNECTOR can have multiple instances with different names if connector.connector_type != SearchSourceConnectorType.MCP_CONNECTOR: result = await session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.connector_type == connector.connector_type, ) ) @@ -208,7 +215,7 @@ async def create_search_source_connector( if existing_connector: raise HTTPException( status_code=409, - detail=f"A connector with type {connector.connector_type} already exists in this search space.", + detail=f"A connector with type {connector.connector_type} already exists in this workspace.", ) # Prepare connector data @@ -217,7 +224,7 @@ async def create_search_source_connector( # MCP connectors support multiple instances — ensure unique name if connector.connector_type == SearchSourceConnectorType.MCP_CONNECTOR: connector_data["name"] = await ensure_unique_connector_name( - session, connector_data["name"], search_space_id, user.id + session, connector_data["name"], workspace_id, user.id ) # Automatically set next_scheduled_at if periodic indexing is enabled @@ -231,7 +238,7 @@ async def create_search_source_connector( ) db_connector = SearchSourceConnector( - **connector_data, search_space_id=search_space_id, user_id=user.id + **connector_data, workspace_id=workspace_id, user_id=user.id ) session.add(db_connector) await session.commit() @@ -244,7 +251,7 @@ async def create_search_source_connector( ): success = create_periodic_schedule( connector_id=db_connector.id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=str(user.id), connector_type=db_connector.connector_type, frequency_minutes=db_connector.indexing_frequency_minutes, @@ -263,7 +270,7 @@ async def create_search_source_connector( await session.rollback() raise HTTPException( status_code=409, - detail=f"Integrity error: A connector with this type already exists in this search space. {e!s}", + detail=f"Integrity error: A connector with this type already exists in this workspace. {e!s}", ) from e except HTTPException: await session.rollback() @@ -281,32 +288,32 @@ async def create_search_source_connector( async def read_search_source_connectors( skip: int = 0, limit: int = 100, - search_space_id: int | None = None, + workspace_id: int | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - List all search source connectors for a search space. + List all search source connectors for a workspace. Requires CONNECTORS_READ permission. """ try: - if search_space_id is None: + if workspace_id is None: raise HTTPException( status_code=400, - detail="search_space_id is required", + detail="workspace_id is required", ) # Check if user has permission to read connectors await check_permission( session, auth, - search_space_id, + workspace_id, Permission.CONNECTORS_READ.value, - "You don't have permission to view connectors in this search space", + "You don't have permission to view connectors in this workspace", ) query = select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id + SearchSourceConnector.workspace_id == workspace_id ) result = await session.execute(query.offset(skip).limit(limit)) @@ -348,7 +355,7 @@ async def read_search_source_connector( await check_permission( session, auth, - connector.search_space_id, + connector.workspace_id, Permission.CONNECTORS_READ.value, "You don't have permission to view this connector", ) @@ -390,7 +397,7 @@ async def update_search_source_connector( await check_permission( session, auth, - db_connector.search_space_id, + db_connector.workspace_id, Permission.CONNECTORS_UPDATE.value, "You don't have permission to update this connector", ) @@ -489,8 +496,7 @@ async def update_search_source_connector( if key == "connector_type" and value != db_connector.connector_type: check_result = await session.execute( select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id - == db_connector.search_space_id, + SearchSourceConnector.workspace_id == db_connector.workspace_id, SearchSourceConnector.connector_type == value, SearchSourceConnector.id != connector_id, ) @@ -499,7 +505,7 @@ async def update_search_source_connector( if existing_connector: raise HTTPException( status_code=409, - detail=f"A connector with type {value} already exists in this search space.", + detail=f"A connector with type {value} already exists in this workspace.", ) setattr(db_connector, key, value) @@ -520,7 +526,7 @@ async def update_search_source_connector( # Create or update the periodic schedule success = update_periodic_schedule( connector_id=db_connector.id, - search_space_id=db_connector.search_space_id, + workspace_id=db_connector.workspace_id, user_id=str(user.id), connector_type=db_connector.connector_type, frequency_minutes=db_connector.indexing_frequency_minutes, @@ -592,7 +598,7 @@ async def delete_search_source_connector( await check_permission( session, auth, - db_connector.search_space_id, + db_connector.workspace_id, Permission.CONNECTORS_DELETE.value, "You don't have permission to delete this connector", ) @@ -672,7 +678,7 @@ async def delete_search_source_connector( ) # Delete the connector record - search_space_id = db_connector.search_space_id + workspace_id = db_connector.workspace_id is_mcp = db_connector.connector_type == SearchSourceConnectorType.MCP_CONNECTOR await session.delete(db_connector) await session.commit() @@ -682,7 +688,7 @@ async def delete_search_source_connector( invalidate_mcp_tools_cache, ) - invalidate_mcp_tools_cache(search_space_id) + invalidate_mcp_tools_cache(workspace_id) logger.info( f"Connector {connector_id} ({connector_name}) deleted successfully. " @@ -712,8 +718,8 @@ async def delete_search_source_connector( ) async def index_connector_content( connector_id: int, - search_space_id: int = Query( - ..., description="ID of the search space to store indexed content" + workspace_id: int = Query( + ..., description="ID of the workspace to store indexed content" ), start_date: str = Query( None, @@ -732,7 +738,7 @@ async def index_connector_content( ): user = auth.user """ - Index content from a KB connector to a search space. + Index content from a KB connector to a workspace. Live connectors (Slack, Teams, Linear, Jira, ClickUp, Calendar, Airtable, Gmail, Discord, Luma) use real-time agent tools instead. @@ -749,25 +755,25 @@ async def index_connector_content( if not connector: raise HTTPException(status_code=404, detail="Connector not found") - # Ensure the connector actually belongs to the requested search space. + # Ensure the connector actually belongs to the requested workspace. # Without this, the permission check below would authorize against the - # caller-supplied search_space_id (their own space) while the connector + # caller-supplied workspace_id (their own space) while the connector # lives in another user's space, allowing cross-tenant indexing of a # foreign connector (and use of its stored credentials). Returning 404 # (rather than 403) on a mismatch also avoids disclosing the existence of - # connectors in other search spaces. - if connector.search_space_id != search_space_id: + # connectors in other workspaces. + if connector.workspace_id != workspace_id: raise HTTPException(status_code=404, detail="Connector not found") # Check if user has permission to update connectors (indexing is an update - # operation). Authorize against the connector's OWN search space — matching + # operation). Authorize against the connector's OWN workspace — matching # the read/update/delete handlers — not the client-supplied query param. await check_permission( session, auth, - connector.search_space_id, + connector.workspace_id, Permission.CONNECTORS_UPDATE.value, - "You don't have permission to index content in this search space", + "You don't have permission to index content in this workspace", ) # Handle different connector types @@ -828,7 +834,10 @@ async def index_connector_content( # For non-calendar connectors, cap at today indexing_to = end_date if end_date else today_str - from app.services.mcp_oauth.registry import LIVE_CONNECTOR_TYPES + from app.services.mcp_oauth.registry import ( + DEPRECATED_INDEXING_CONNECTOR_TYPES, + LIVE_CONNECTOR_TYPES, + ) if connector.connector_type in LIVE_CONNECTOR_TYPES: return { @@ -838,7 +847,21 @@ async def index_connector_content( ), "indexing_started": False, "connector_id": connector_id, - "search_space_id": search_space_id, + "workspace_id": workspace_id, + "indexing_from": indexing_from, + "indexing_to": indexing_to, + } + + if connector.connector_type in DEPRECATED_INDEXING_CONNECTOR_TYPES: + return { + "message": ( + f"Indexing for {connector.connector_type.value} has been " + "deprecated. The knowledge base now stores files, notes, and " + "uploads only." + ), + "indexing_started": False, + "connector_id": connector_id, + "workspace_id": workspace_id, "indexing_from": indexing_from, "indexing_to": indexing_to, } @@ -847,10 +870,10 @@ async def index_connector_content( from app.tasks.celery_tasks.connector_tasks import index_notion_pages_task logger.info( - f"Triggering Notion indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}" + f"Triggering Notion indexing for connector {connector_id} into workspace {workspace_id} from {indexing_from} to {indexing_to}" ) index_notion_pages_task.delay( - connector_id, search_space_id, str(user.id), indexing_from, indexing_to + connector_id, workspace_id, str(user.id), indexing_from, indexing_to ) response_message = "Notion indexing started in the background." @@ -858,10 +881,10 @@ async def index_connector_content( from app.tasks.celery_tasks.connector_tasks import index_github_repos_task logger.info( - f"Triggering GitHub indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}" + f"Triggering GitHub indexing for connector {connector_id} into workspace {workspace_id} from {indexing_from} to {indexing_to}" ) index_github_repos_task.delay( - connector_id, search_space_id, str(user.id), indexing_from, indexing_to + connector_id, workspace_id, str(user.id), indexing_from, indexing_to ) response_message = "GitHub indexing started in the background." @@ -871,10 +894,10 @@ async def index_connector_content( ) logger.info( - f"Triggering Confluence indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}" + f"Triggering Confluence indexing for connector {connector_id} into workspace {workspace_id} from {indexing_from} to {indexing_to}" ) index_confluence_pages_task.delay( - connector_id, search_space_id, str(user.id), indexing_from, indexing_to + connector_id, workspace_id, str(user.id), indexing_from, indexing_to ) response_message = "Confluence indexing started in the background." @@ -884,10 +907,10 @@ async def index_connector_content( ) logger.info( - f"Triggering BookStack indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}" + f"Triggering BookStack indexing for connector {connector_id} into workspace {workspace_id} from {indexing_from} to {indexing_to}" ) index_bookstack_pages_task.delay( - connector_id, search_space_id, str(user.id), indexing_from, indexing_to + connector_id, workspace_id, str(user.id), indexing_from, indexing_to ) response_message = "BookStack indexing started in the background." @@ -900,7 +923,7 @@ async def index_connector_content( if drive_items and drive_items.has_items(): logger.info( - f"Triggering Google Drive indexing for connector {connector_id} into search space {search_space_id}, " + f"Triggering Google Drive indexing for connector {connector_id} into workspace {workspace_id}, " f"folders: {len(drive_items.folders)}, files: {len(drive_items.files)}" ) items_dict = drive_items.model_dump() @@ -929,13 +952,13 @@ async def index_connector_content( "indexing_options": indexing_options, } logger.info( - f"Triggering Google Drive indexing for connector {connector_id} into search space {search_space_id} " + f"Triggering Google Drive indexing for connector {connector_id} into workspace {workspace_id} " f"using existing config" ) index_google_drive_files_task.delay( connector_id, - search_space_id, + workspace_id, str(user.id), items_dict, ) @@ -948,7 +971,7 @@ async def index_connector_content( if drive_items and drive_items.has_items(): logger.info( - f"Triggering OneDrive indexing for connector {connector_id} into search space {search_space_id}, " + f"Triggering OneDrive indexing for connector {connector_id} into workspace {workspace_id}, " f"folders: {len(drive_items.folders)}, files: {len(drive_items.files)}" ) items_dict = drive_items.model_dump() @@ -976,13 +999,13 @@ async def index_connector_content( "indexing_options": indexing_options, } logger.info( - f"Triggering OneDrive indexing for connector {connector_id} into search space {search_space_id} " + f"Triggering OneDrive indexing for connector {connector_id} into workspace {workspace_id} " f"using existing config" ) index_onedrive_files_task.delay( connector_id, - search_space_id, + workspace_id, str(user.id), items_dict, ) @@ -995,7 +1018,7 @@ async def index_connector_content( if drive_items and drive_items.has_items(): logger.info( - f"Triggering Dropbox indexing for connector {connector_id} into search space {search_space_id}, " + f"Triggering Dropbox indexing for connector {connector_id} into workspace {workspace_id}, " f"folders: {len(drive_items.folders)}, files: {len(drive_items.files)}" ) items_dict = drive_items.model_dump() @@ -1023,13 +1046,13 @@ async def index_connector_content( "indexing_options": indexing_options, } logger.info( - f"Triggering Dropbox indexing for connector {connector_id} into search space {search_space_id} " + f"Triggering Dropbox indexing for connector {connector_id} into workspace {workspace_id} " f"using existing config" ) index_dropbox_files_task.delay( connector_id, - search_space_id, + workspace_id, str(user.id), items_dict, ) @@ -1044,41 +1067,13 @@ async def index_connector_content( ) logger.info( - f"Triggering Elasticsearch indexing for connector {connector_id} into search space {search_space_id}" + f"Triggering Elasticsearch indexing for connector {connector_id} into workspace {workspace_id}" ) index_elasticsearch_documents_task.delay( - connector_id, search_space_id, str(user.id), indexing_from, indexing_to + connector_id, workspace_id, str(user.id), indexing_from, indexing_to ) response_message = "Elasticsearch indexing started in the background." - elif connector.connector_type == SearchSourceConnectorType.WEBCRAWLER_CONNECTOR: - from app.tasks.celery_tasks.connector_tasks import index_crawled_urls_task - from app.utils.webcrawler_utils import parse_webcrawler_urls - - # Check if URLs are configured before triggering indexing - connector_config = connector.config or {} - urls = parse_webcrawler_urls(connector_config.get("INITIAL_URLS")) - - if not urls: - # URLs are optional - skip indexing gracefully - logger.info( - f"Webcrawler connector {connector_id} has no URLs configured, skipping indexing" - ) - response_message = "No URLs configured for this connector. Add URLs in the connector settings to enable indexing." - indexing_started = False - else: - logger.info( - f"Triggering web pages indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}" - ) - index_crawled_urls_task.delay( - connector_id, - search_space_id, - str(user.id), - indexing_from, - indexing_to, - ) - response_message = "Web page indexing started in the background." - elif ( connector.connector_type == SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR @@ -1112,12 +1107,12 @@ async def index_connector_content( await session.refresh(connector) logger.info( - f"Triggering Composio Google Drive indexing for connector {connector_id} into search space {search_space_id}, " + f"Triggering Composio Google Drive indexing for connector {connector_id} into workspace {workspace_id}, " f"folders: {len(drive_items.folders)}, files: {len(drive_items.files)}" ) else: logger.info( - f"Triggering Composio Google Drive indexing for connector {connector_id} into search space {search_space_id} " + f"Triggering Composio Google Drive indexing for connector {connector_id} into workspace {workspace_id} " f"using existing config" ) @@ -1145,7 +1140,7 @@ async def index_connector_content( "indexing_options": indexing_options, } index_google_drive_files_task.delay( - connector_id, search_space_id, str(user.id), items_dict + connector_id, workspace_id, str(user.id), items_dict ) response_message = ( "Composio Google Drive indexing started in the background." @@ -1160,10 +1155,10 @@ async def index_connector_content( ) logger.info( - f"Triggering Composio Gmail indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}" + f"Triggering Composio Gmail indexing for connector {connector_id} into workspace {workspace_id} from {indexing_from} to {indexing_to}" ) index_google_gmail_messages_task.delay( - connector_id, search_space_id, str(user.id), indexing_from, indexing_to + connector_id, workspace_id, str(user.id), indexing_from, indexing_to ) response_message = "Composio Gmail indexing started in the background." @@ -1176,10 +1171,10 @@ async def index_connector_content( ) logger.info( - f"Triggering Composio Google Calendar indexing for connector {connector_id} into search space {search_space_id} from {indexing_from} to {indexing_to}" + f"Triggering Composio Google Calendar indexing for connector {connector_id} into workspace {workspace_id} from {indexing_from} to {indexing_to}" ) index_google_calendar_events_task.delay( - connector_id, search_space_id, str(user.id), indexing_from, indexing_to + connector_id, workspace_id, str(user.id), indexing_from, indexing_to ) response_message = ( "Composio Google Calendar indexing started in the background." @@ -1195,7 +1190,7 @@ async def index_connector_content( "message": response_message, "indexing_started": indexing_started, "connector_id": connector_id, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "indexing_from": indexing_from, "indexing_to": indexing_to, } @@ -1292,7 +1287,7 @@ async def _persist_auth_expired(session: AsyncSession, connector_id: int) -> Non async def _run_indexing_with_notifications( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -1307,7 +1302,7 @@ async def _run_indexing_with_notifications( Args: session: Database session connector_id: ID of the connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -1359,7 +1354,7 @@ async def _run_indexing_with_notifications( connector_id=connector_id, connector_name=connector.name, connector_type=connector.connector_type.value, - search_space_id=search_space_id, + workspace_id=workspace_id, start_date=start_date, end_date=end_date, ) @@ -1476,7 +1471,7 @@ async def _run_indexing_with_notifications( indexing_kwargs = { "session": session, "connector_id": connector_id, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "user_id": user_id, "start_date": start_date, "end_date": end_date, @@ -1717,7 +1712,7 @@ async def _run_indexing_with_notifications( async def run_notion_indexing_with_new_session( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -1732,7 +1727,7 @@ async def run_notion_indexing_with_new_session( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -1746,7 +1741,7 @@ async def run_notion_indexing_with_new_session( async def run_notion_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -1757,7 +1752,7 @@ async def run_notion_indexing( Args: session: Database session connector_id: ID of the Notion connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -1767,7 +1762,7 @@ async def run_notion_indexing( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -1781,18 +1776,18 @@ async def run_notion_indexing( # Add new helper functions for GitHub indexing async def run_github_indexing_with_new_session( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, ): """Wrapper to run GitHub indexing with its own database session.""" logger.info( - f"Background task started: Indexing GitHub connector {connector_id} into space {search_space_id} from {start_date} to {end_date}" + f"Background task started: Indexing GitHub connector {connector_id} into space {workspace_id} from {start_date} to {end_date}" ) async with async_session_maker() as session: await run_github_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) logger.info(f"Background task finished: Indexing GitHub connector {connector_id}") @@ -1800,7 +1795,7 @@ async def run_github_indexing_with_new_session( async def run_github_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -1811,7 +1806,7 @@ async def run_github_indexing( Args: session: Database session connector_id: ID of the GitHub connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -1821,7 +1816,7 @@ async def run_github_indexing( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -1834,18 +1829,18 @@ async def run_github_indexing( # Add new helper functions for Confluence indexing async def run_confluence_indexing_with_new_session( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, ): """Wrapper to run Confluence indexing with its own database session.""" logger.info( - f"Background task started: Indexing Confluence connector {connector_id} into space {search_space_id} from {start_date} to {end_date}" + f"Background task started: Indexing Confluence connector {connector_id} into space {workspace_id} from {start_date} to {end_date}" ) async with async_session_maker() as session: await run_confluence_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) logger.info( f"Background task finished: Indexing Confluence connector {connector_id}" @@ -1855,7 +1850,7 @@ async def run_confluence_indexing_with_new_session( async def run_confluence_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -1866,7 +1861,7 @@ async def run_confluence_indexing( Args: session: Database session connector_id: ID of the Confluence connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -1876,7 +1871,7 @@ async def run_confluence_indexing( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -1889,18 +1884,18 @@ async def run_confluence_indexing( # Add new helper functions for Google Calendar indexing async def run_google_calendar_indexing_with_new_session( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, ): """Wrapper to run Google Calendar indexing with its own database session.""" logger.info( - f"Background task started: Indexing Google Calendar connector {connector_id} into space {search_space_id} from {start_date} to {end_date}" + f"Background task started: Indexing Google Calendar connector {connector_id} into space {workspace_id} from {start_date} to {end_date}" ) async with async_session_maker() as session: await run_google_calendar_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) logger.info( f"Background task finished: Indexing Google Calendar connector {connector_id}" @@ -1910,7 +1905,7 @@ async def run_google_calendar_indexing_with_new_session( async def run_google_calendar_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -1921,7 +1916,7 @@ async def run_google_calendar_indexing( Args: session: Database session connector_id: ID of the Google Calendar connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -1931,7 +1926,7 @@ async def run_google_calendar_indexing( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -1943,7 +1938,7 @@ async def run_google_calendar_indexing( async def run_google_gmail_indexing_with_new_session( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -1954,14 +1949,14 @@ async def run_google_gmail_indexing_with_new_session( """ async with async_session_maker() as session: await run_google_gmail_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) async def run_google_gmail_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -1972,7 +1967,7 @@ async def run_google_gmail_indexing( Args: session: Database session connector_id: ID of the Google Gmail connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -1983,7 +1978,7 @@ async def run_google_gmail_indexing( async def gmail_indexing_wrapper( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None, end_date: str | None, @@ -1994,7 +1989,7 @@ async def run_google_gmail_indexing( indexed_count, skipped_count, error_message = await index_google_gmail_messages( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -2007,7 +2002,7 @@ async def run_google_gmail_indexing( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -2020,7 +2015,7 @@ async def run_google_gmail_indexing( async def run_google_drive_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, # Dictionary with 'folders', 'files', and 'indexing_options' ): @@ -2057,7 +2052,7 @@ async def run_google_drive_indexing( connector_id=connector_id, connector_name=connector.name, connector_type=connector.connector_type.value, - search_space_id=search_space_id, + workspace_id=workspace_id, folder_count=len(items.folders), file_count=len(items.files), folder_names=items.get_folder_names() if items.folders else None, @@ -2086,7 +2081,7 @@ async def run_google_drive_indexing( ) = await index_google_drive_files( session, connector_id, - search_space_id, + workspace_id, user_id, folder_id=folder.id, folder_name=folder.name, @@ -2119,7 +2114,7 @@ async def run_google_drive_indexing( ) = await index_google_drive_selected_files( session, connector_id, - search_space_id, + workspace_id, user_id, files=file_tuples, ) @@ -2199,7 +2194,7 @@ async def run_google_drive_indexing( async def run_onedrive_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, ): @@ -2224,7 +2219,7 @@ async def run_onedrive_indexing( connector_id=connector_id, connector_name=connector.name, connector_type=connector.connector_type.value, - search_space_id=search_space_id, + workspace_id=workspace_id, folder_count=len(items_dict.get("folders", [])), file_count=len(items_dict.get("files", [])), folder_names=[ @@ -2251,7 +2246,7 @@ async def run_onedrive_indexing( ) = await index_onedrive_files( session, connector_id, - search_space_id, + workspace_id, user_id, items_dict, ) @@ -2313,7 +2308,7 @@ async def run_onedrive_indexing( async def run_dropbox_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, ): @@ -2338,7 +2333,7 @@ async def run_dropbox_indexing( connector_id=connector_id, connector_name=connector.name, connector_type=connector.connector_type.value, - search_space_id=search_space_id, + workspace_id=workspace_id, folder_count=len(items_dict.get("folders", [])), file_count=len(items_dict.get("files", [])), folder_names=[ @@ -2365,7 +2360,7 @@ async def run_dropbox_indexing( ) = await index_dropbox_files( session, connector_id, - search_space_id, + workspace_id, user_id, items_dict, ) @@ -2426,18 +2421,18 @@ async def run_dropbox_indexing( async def run_elasticsearch_indexing_with_new_session( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, ): """Wrapper to run Elasticsearch indexing with its own database session.""" logger.info( - f"Background task started: Indexing Elasticsearch connector {connector_id} into space {search_space_id}" + f"Background task started: Indexing Elasticsearch connector {connector_id} into space {workspace_id}" ) async with async_session_maker() as session: await run_elasticsearch_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) logger.info( f"Background task finished: Indexing Elasticsearch connector {connector_id}" @@ -2447,7 +2442,7 @@ async def run_elasticsearch_indexing_with_new_session( async def run_elasticsearch_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -2458,7 +2453,7 @@ async def run_elasticsearch_indexing( Args: session: Database session connector_id: ID of the Elasticsearch connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -2468,7 +2463,7 @@ async def run_elasticsearch_indexing( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -2478,73 +2473,21 @@ async def run_elasticsearch_indexing( ) -# Add new helper functions for crawled web page indexing -async def run_web_page_indexing_with_new_session( - connector_id: int, - search_space_id: int, - user_id: str, - start_date: str, - end_date: str, -): - """ - Create a new session and run the Web page indexing task. - This prevents session leaks by creating a dedicated session for the background task. - """ - async with async_session_maker() as session: - await run_web_page_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date - ) - - -async def run_web_page_indexing( - session: AsyncSession, - connector_id: int, - search_space_id: int, - user_id: str, - start_date: str, - end_date: str, -): - """ - Background task to run Web page indexing. - - Args: - session: Database session - connector_id: ID of the webcrawler connector - search_space_id: ID of the search space - user_id: ID of the user - start_date: Start date for indexing - end_date: End date for indexing - """ - from app.tasks.connector_indexers import index_crawled_urls - - await _run_indexing_with_notifications( - session=session, - connector_id=connector_id, - search_space_id=search_space_id, - user_id=user_id, - start_date=start_date, - end_date=end_date, - indexing_function=index_crawled_urls, - update_timestamp_func=_update_connector_timestamp_by_id, - supports_heartbeat_callback=True, - ) - - # Add new helper functions for BookStack indexing async def run_bookstack_indexing_with_new_session( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, ): """Wrapper to run BookStack indexing with its own database session.""" logger.info( - f"Background task started: Indexing BookStack connector {connector_id} into space {search_space_id} from {start_date} to {end_date}" + f"Background task started: Indexing BookStack connector {connector_id} into space {workspace_id} from {start_date} to {end_date}" ) async with async_session_maker() as session: await run_bookstack_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) logger.info( f"Background task finished: Indexing BookStack connector {connector_id}" @@ -2554,7 +2497,7 @@ async def run_bookstack_indexing_with_new_session( async def run_bookstack_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -2565,7 +2508,7 @@ async def run_bookstack_indexing( Args: session: Database session connector_id: ID of the BookStack connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -2575,7 +2518,7 @@ async def run_bookstack_indexing( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -2587,7 +2530,7 @@ async def run_bookstack_indexing( async def run_composio_indexing_with_new_session( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -2598,14 +2541,14 @@ async def run_composio_indexing_with_new_session( """ async with async_session_maker() as session: await run_composio_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) async def run_composio_indexing( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None, end_date: str | None, @@ -2619,7 +2562,7 @@ async def run_composio_indexing( Args: session: Database session connector_id: ID of the Composio connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for indexing end_date: End date for indexing @@ -2629,7 +2572,7 @@ async def run_composio_indexing( await _run_indexing_with_notifications( session=session, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, start_date=start_date, end_date=end_date, @@ -2647,7 +2590,7 @@ async def run_composio_indexing( @router.post("/connectors/mcp", response_model=MCPConnectorRead, status_code=201) async def create_mcp_connector( connector_data: MCPConnectorCreate, - search_space_id: int = Query(..., description="Search space ID"), + workspace_id: int = Query(..., description="Workspace ID"), session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): @@ -2660,7 +2603,7 @@ async def create_mcp_connector( Args: connector_data: MCP server configuration (command, args, env) - search_space_id: ID of the search space to attach the connector to + workspace_id: ID of the workspace to attach the connector to session: Database session user: Current authenticated user @@ -2668,21 +2611,21 @@ async def create_mcp_connector( Created MCP connector with server configuration Raises: - HTTPException: If search space not found or permission denied + HTTPException: If workspace not found or permission denied """ try: # Check user has permission to create connectors await check_permission( session, auth, - search_space_id, + workspace_id, Permission.CONNECTORS_CREATE.value, - "You don't have permission to create connectors in this search space", + "You don't have permission to create connectors in this workspace", ) - # Ensure unique name across MCP connectors in this search space + # Ensure unique name across MCP connectors in this workspace unique_name = await ensure_unique_connector_name( - session, connector_data.name, search_space_id, user.id + session, connector_data.name, workspace_id, user.id ) # Create the connector with single server config @@ -2693,7 +2636,7 @@ async def create_mcp_connector( config={"server_config": connector_data.server_config.model_dump()}, periodic_indexing_enabled=False, indexing_frequency_minutes=None, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user.id, ) @@ -2703,14 +2646,14 @@ async def create_mcp_connector( logger.info( f"Created MCP connector {db_connector.id} " - f"for user {user.id} in search space {search_space_id}" + f"for user {user.id} in workspace {workspace_id}" ) from app.agents.chat.multi_agent_chat.shared.tools.mcp.cache import ( refresh_mcp_tools_cache_for_connector, ) - refresh_mcp_tools_cache_for_connector(db_connector.id, search_space_id) + refresh_mcp_tools_cache_for_connector(db_connector.id, workspace_id) connector_read = SearchSourceConnectorRead.model_validate(db_connector) return MCPConnectorRead.from_connector(connector_read) @@ -2727,15 +2670,15 @@ async def create_mcp_connector( @router.get("/connectors/mcp", response_model=list[MCPConnectorRead]) async def list_mcp_connectors( - search_space_id: int = Query(..., description="Search space ID"), + workspace_id: int = Query(..., description="Workspace ID"), session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): """ - List all MCP connectors for a search space. + List all MCP connectors for a workspace. Args: - search_space_id: ID of the search space + workspace_id: ID of the workspace session: Database session user: Current authenticated user @@ -2747,9 +2690,9 @@ async def list_mcp_connectors( await check_permission( session, auth, - search_space_id, + workspace_id, Permission.CONNECTORS_READ.value, - "You don't have permission to view connectors in this search space", + "You don't have permission to view connectors in this workspace", ) # Fetch MCP connectors @@ -2757,7 +2700,7 @@ async def list_mcp_connectors( select(SearchSourceConnector).filter( SearchSourceConnector.connector_type == SearchSourceConnectorType.MCP_CONNECTOR, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, ) ) @@ -2811,7 +2754,7 @@ async def get_mcp_connector( await check_permission( session, auth, - connector.search_space_id, + connector.workspace_id, Permission.CONNECTORS_READ.value, "You don't have permission to view this connector", ) @@ -2865,7 +2808,7 @@ async def update_mcp_connector( await check_permission( session, auth, - connector.search_space_id, + connector.workspace_id, Permission.CONNECTORS_UPDATE.value, "You don't have permission to update this connector", ) @@ -2890,7 +2833,7 @@ async def update_mcp_connector( refresh_mcp_tools_cache_for_connector, ) - refresh_mcp_tools_cache_for_connector(connector.id, connector.search_space_id) + refresh_mcp_tools_cache_for_connector(connector.id, connector.workspace_id) connector_read = SearchSourceConnectorRead.model_validate(connector) return MCPConnectorRead.from_connector(connector_read) @@ -2937,12 +2880,12 @@ async def delete_mcp_connector( await check_permission( session, auth, - connector.search_space_id, + connector.workspace_id, Permission.CONNECTORS_DELETE.value, "You don't have permission to delete this connector", ) - search_space_id = connector.search_space_id + workspace_id = connector.workspace_id await session.delete(connector) await session.commit() @@ -2950,7 +2893,7 @@ async def delete_mcp_connector( invalidate_mcp_tools_cache, ) - invalidate_mcp_tools_cache(search_space_id) + invalidate_mcp_tools_cache(workspace_id) logger.info(f"Deleted MCP connector {connector_id}") @@ -3060,7 +3003,7 @@ async def get_drive_picker_token( await check_permission( session, auth, - connector.search_space_id, + connector.workspace_id, Permission.CONNECTORS_READ.value, "You don't have permission to access this connector", ) @@ -3143,7 +3086,7 @@ async def _ensure_mcp_connector_for_user( The JSONB ``has_key("server_config")`` filter is the same MCP marker used elsewhere in this module. - Returns the connector's ``search_space_id`` (needed downstream for + Returns the connector's ``workspace_id`` (needed downstream for MCP tool cache invalidation). Raises ``HTTPException(404)`` when the connector does not exist, is not owned by the user, or is not MCP-backed. @@ -3152,16 +3095,16 @@ async def _ensure_mcp_connector_for_user( from sqlalchemy.dialects.postgresql import JSONB as PG_JSONB result = await session.execute( - select(SearchSourceConnector.search_space_id).where( + select(SearchSourceConnector.workspace_id).where( SearchSourceConnector.id == connector_id, SearchSourceConnector.user_id == user_id, cast(SearchSourceConnector.config, PG_JSONB).has_key("server_config"), ) ) - search_space_id = result.scalar_one_or_none() - if search_space_id is None: + workspace_id = result.scalar_one_or_none() + if workspace_id is None: raise HTTPException(status_code=404, detail="MCP connector not found") - return search_space_id + return workspace_id @router.post("/connectors/mcp/{connector_id}/trust-tool") @@ -3185,7 +3128,7 @@ async def trust_mcp_tool( from app.services.user_tool_allowlist import add_user_trust try: - search_space_id = await _ensure_mcp_connector_for_user( + workspace_id = await _ensure_mcp_connector_for_user( session, user_id=user.id, connector_id=connector_id ) trusted = await add_user_trust( @@ -3195,7 +3138,7 @@ async def trust_mcp_tool( tool_name=body.tool_name, ) await session.commit() - invalidate_mcp_tools_cache(search_space_id) + invalidate_mcp_tools_cache(workspace_id) return {"status": "ok", "trusted_tools": trusted} except HTTPException: @@ -3228,7 +3171,7 @@ async def untrust_mcp_tool( from app.services.user_tool_allowlist import remove_user_trust try: - search_space_id = await _ensure_mcp_connector_for_user( + workspace_id = await _ensure_mcp_connector_for_user( session, user_id=user.id, connector_id=connector_id ) trusted = await remove_user_trust( @@ -3238,7 +3181,7 @@ async def untrust_mcp_tool( tool_name=body.tool_name, ) await session.commit() - invalidate_mcp_tools_cache(search_space_id) + invalidate_mcp_tools_cache(workspace_id) return {"status": "ok", "trusted_tools": trusted} except HTTPException: diff --git a/surfsense_backend/app/routes/search_spaces_routes.py b/surfsense_backend/app/routes/search_spaces_routes.py deleted file mode 100644 index 6eebaf201..000000000 --- a/surfsense_backend/app/routes/search_spaces_routes.py +++ /dev/null @@ -1,456 +0,0 @@ -import logging - -from fastapi import APIRouter, Depends, HTTPException -from sqlalchemy import func -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.future import select - -from app.auth.context import AuthContext -from app.db import ( - Permission, - SearchSpace, - SearchSpaceMembership, - SearchSpaceRole, - get_async_session, - get_default_roles_config, -) -from app.schemas import ( - SearchSpaceApiAccessUpdate, - SearchSpaceCreate, - SearchSpaceRead, - SearchSpaceUpdate, - SearchSpaceWithStats, -) -from app.users import allow_any_principal, get_auth_context, require_session_context -from app.utils.rbac import check_permission, check_search_space_access - -logger = logging.getLogger(__name__) - -router = APIRouter() - - -async def create_default_roles_and_membership( - session: AsyncSession, - search_space_id: int, - owner_user_id, -) -> None: - """ - Create default system roles for a search space and add the owner as a member. - - Args: - session: Database session - search_space_id: The ID of the newly created search space - owner_user_id: The UUID of the user who created the search space - """ - # Create default roles - default_roles = get_default_roles_config() - owner_role_id = None - - for role_config in default_roles: - db_role = SearchSpaceRole( - name=role_config["name"], - description=role_config["description"], - permissions=role_config["permissions"], - is_default=role_config["is_default"], - is_system_role=role_config["is_system_role"], - search_space_id=search_space_id, - ) - session.add(db_role) - await session.flush() # Get the ID - - if role_config["name"] == "Owner": - owner_role_id = db_role.id - - # Create owner membership - owner_membership = SearchSpaceMembership( - user_id=owner_user_id, - search_space_id=search_space_id, - role_id=owner_role_id, - is_owner=True, - ) - session.add(owner_membership) - - -@router.post("/searchspaces", response_model=SearchSpaceRead) -async def create_search_space( - search_space: SearchSpaceCreate, - session: AsyncSession = Depends(get_async_session), - auth: AuthContext = Depends(require_session_context), -): - user = auth.user - try: - search_space_data = search_space.model_dump() - - # citations_enabled defaults to True (handled by Pydantic schema) - # qna_custom_instructions defaults to None/empty (handled by DB) - - db_search_space = SearchSpace(**search_space_data, user_id=user.id) - session.add(db_search_space) - await session.flush() # Get the search space ID - - # Create default roles and owner membership - await create_default_roles_and_membership(session, db_search_space.id, user.id) - - await session.commit() - await session.refresh(db_search_space) - return db_search_space - except HTTPException: - raise - except Exception as e: - await session.rollback() - logger.error(f"Failed to create search space: {e!s}", exc_info=True) - raise HTTPException( - status_code=500, detail=f"Failed to create search space: {e!s}" - ) from e - - -@router.get("/searchspaces", response_model=list[SearchSpaceWithStats]) -async def read_search_spaces( - skip: int = 0, - limit: int = 200, - owned_only: bool = False, - session: AsyncSession = Depends(get_async_session), - auth: AuthContext = Depends(allow_any_principal), -): - user = auth.user - """ - Get all search spaces the user has access to, with member count and ownership info. - - Args: - skip: Number of items to skip - limit: Maximum number of items to return - owned_only: If True, only return search spaces owned by the user. - If False (default), return all search spaces the user has access to. - """ - try: - # Exclude spaces that are pending background deletion - not_deleting = ~SearchSpace.name.startswith("[DELETING] ") - - api_access_filter = ( - SearchSpace.api_access_enabled == True # noqa: E712 - if auth.is_gated - else True - ) - - if owned_only: - # Return only search spaces where user is the original creator (user_id) - result = await session.execute( - select(SearchSpace) - .filter(SearchSpace.user_id == user.id, not_deleting, api_access_filter) - .order_by(SearchSpace.id.asc()) - .offset(skip) - .limit(limit) - ) - else: - # Return all search spaces the user has membership in - result = await session.execute( - select(SearchSpace) - .join(SearchSpaceMembership) - .filter( - SearchSpaceMembership.user_id == user.id, - not_deleting, - api_access_filter, - ) - .order_by(SearchSpace.id.asc()) - .offset(skip) - .limit(limit) - ) - - search_spaces = result.scalars().all() - - # Get member counts and ownership info for each search space - search_spaces_with_stats = [] - for space in search_spaces: - # Get member count - count_result = await session.execute( - select(func.count(SearchSpaceMembership.id)).filter( - SearchSpaceMembership.search_space_id == space.id - ) - ) - member_count = count_result.scalar() or 1 - - # Check if current user is owner - ownership_result = await session.execute( - select(SearchSpaceMembership).filter( - SearchSpaceMembership.search_space_id == space.id, - SearchSpaceMembership.user_id == user.id, - SearchSpaceMembership.is_owner == True, # noqa: E712 - ) - ) - is_owner = ownership_result.scalars().first() is not None - - search_spaces_with_stats.append( - SearchSpaceWithStats( - id=space.id, - name=space.name, - description=space.description, - created_at=space.created_at, - user_id=space.user_id, - citations_enabled=space.citations_enabled, - api_access_enabled=space.api_access_enabled, - qna_custom_instructions=space.qna_custom_instructions, - ai_file_sort_enabled=space.ai_file_sort_enabled, - member_count=member_count, - is_owner=is_owner, - ) - ) - - return search_spaces_with_stats - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Failed to fetch search spaces: {e!s}" - ) from e - - -@router.get("/searchspaces/{search_space_id}", response_model=SearchSpaceRead) -async def read_search_space( - search_space_id: int, - session: AsyncSession = Depends(get_async_session), - auth: AuthContext = Depends(get_auth_context), -): - """ - Get a specific search space by ID. - Requires SETTINGS_VIEW permission or membership. - """ - try: - # Check if user has access (is a member) - await check_search_space_access(session, auth, search_space_id) - - result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) - ) - search_space = result.scalars().first() - - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") - - return search_space - - except HTTPException: - raise - except Exception as e: - raise HTTPException( - status_code=500, detail=f"Failed to fetch search space: {e!s}" - ) from e - - -@router.put("/searchspaces/{search_space_id}", response_model=SearchSpaceRead) -async def update_search_space( - search_space_id: int, - search_space_update: SearchSpaceUpdate, - session: AsyncSession = Depends(get_async_session), - auth: AuthContext = Depends(get_auth_context), -): - """ - Update a search space. - Requires SETTINGS_UPDATE permission. - """ - try: - # Check permission - await check_permission( - session, - auth, - search_space_id, - Permission.SETTINGS_UPDATE.value, - "You don't have permission to update this search space", - ) - - result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) - ) - db_search_space = result.scalars().first() - - if not db_search_space: - raise HTTPException(status_code=404, detail="Search space not found") - - update_data = search_space_update.model_dump(exclude_unset=True) - - for key, value in update_data.items(): - setattr(db_search_space, key, value) - await session.commit() - await session.refresh(db_search_space) - return db_search_space - except HTTPException: - raise - except Exception as e: - await session.rollback() - raise HTTPException( - status_code=500, detail=f"Failed to update search space: {e!s}" - ) from e - - -@router.put( - "/searchspaces/{search_space_id}/api-access", response_model=SearchSpaceRead -) -async def update_search_space_api_access( - search_space_id: int, - body: SearchSpaceApiAccessUpdate, - session: AsyncSession = Depends(get_async_session), - auth: AuthContext = Depends(get_auth_context), -): - """ - Toggle programmatic API/PAT access for a search space. - Requires API_ACCESS_MANAGE permission. - """ - try: - if not auth.is_session: - raise HTTPException( - status_code=403, - detail="This action requires an interactive session", - ) - - await check_permission( - session, - auth, - search_space_id, - Permission.API_ACCESS_MANAGE.value, - "You don't have permission to manage API access for this search space", - ) - - result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) - ) - db_search_space = result.scalars().first() - - if not db_search_space: - raise HTTPException(status_code=404, detail="Search space not found") - - db_search_space.api_access_enabled = body.api_access_enabled - await session.commit() - await session.refresh(db_search_space) - return db_search_space - except HTTPException: - raise - except Exception as e: - await session.rollback() - raise HTTPException( - status_code=500, detail=f"Failed to update API access: {e!s}" - ) from e - - -@router.post("/searchspaces/{search_space_id}/ai-sort") -async def trigger_ai_sort( - search_space_id: int, - session: AsyncSession = Depends(get_async_session), - auth: AuthContext = Depends(get_auth_context), -): - user = auth.user - """Trigger a full AI file sort for all documents in the search space.""" - try: - await check_permission( - session, - auth, - search_space_id, - Permission.SETTINGS_UPDATE.value, - "You don't have permission to trigger AI sort on this search space", - ) - - result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) - ) - db_search_space = result.scalars().first() - if not db_search_space: - raise HTTPException(status_code=404, detail="Search space not found") - - from app.tasks.celery_tasks.document_tasks import ai_sort_search_space_task - - ai_sort_search_space_task.delay(search_space_id, str(user.id)) - return {"message": "AI sort started"} - except HTTPException: - raise - except Exception as e: - logger.error(f"Failed to trigger AI sort: {e!s}", exc_info=True) - raise HTTPException( - status_code=500, detail=f"Failed to trigger AI sort: {e!s}" - ) from e - - -@router.delete("/searchspaces/{search_space_id}", response_model=dict) -async def delete_search_space( - search_space_id: int, - session: AsyncSession = Depends(get_async_session), - auth: AuthContext = Depends(get_auth_context), -): - """ - Delete a search space. - Requires SETTINGS_DELETE permission (only owners have this by default). - - Heavy cascade deletion (documents, chunks, threads, etc.) is dispatched - to Celery so the response is immediate and durable across API restarts. - """ - try: - # Check permission - only those with SETTINGS_DELETE can delete - await check_permission( - session, - auth, - search_space_id, - Permission.SETTINGS_DELETE.value, - "You don't have permission to delete this search space", - ) - - result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) - ) - db_search_space = result.scalars().first() - - if not db_search_space: - raise HTTPException(status_code=404, detail="Search space not found") - - if (db_search_space.name or "").startswith("[DELETING] "): - raise HTTPException( - status_code=409, - detail="Search space is already being deleted.", - ) - - # Soft-delete marker (length-safe for String(100)) so users see pending state. - prefix = "[DELETING] " - max_len = 100 - available = max_len - len(prefix) - base_name = db_search_space.name or "" - db_search_space.name = f"{prefix}{base_name[:available]}" - await session.commit() - - # Dispatch durable background deletion via Celery. - # If queue dispatch fails, revert name to avoid stuck "[DELETING]" state. - try: - from app.tasks.celery_tasks.document_tasks import delete_search_space_task - - delete_search_space_task.delay(search_space_id) - except Exception as dispatch_error: - db_search_space.name = base_name - await session.commit() - raise HTTPException( - status_code=503, - detail="Failed to queue background deletion. Please try again.", - ) from dispatch_error - - return {"message": "Search space deleted successfully"} - except HTTPException: - raise - except Exception as e: - await session.rollback() - raise HTTPException( - status_code=500, detail=f"Failed to delete search space: {e!s}" - ) from e - - -@router.get("/searchspaces/{search_space_id}/snapshots") -async def list_search_space_snapshots( - search_space_id: int, - session: AsyncSession = Depends(get_async_session), - auth: AuthContext = Depends(get_auth_context), -): - """ - List all public chat snapshots for a search space. - - Requires PUBLIC_SHARING_VIEW permission. - """ - from app.schemas.new_chat import PublicChatSnapshotsBySpaceResponse - from app.services.public_chat_service import list_snapshots_for_search_space - - snapshots = await list_snapshots_for_search_space( - session=session, - search_space_id=search_space_id, - auth=auth, - ) - return PublicChatSnapshotsBySpaceResponse(snapshots=snapshots) diff --git a/surfsense_backend/app/routes/slack_add_connector_route.py b/surfsense_backend/app/routes/slack_add_connector_route.py index ee6f75417..10941dc5b 100644 --- a/surfsense_backend/app/routes/slack_add_connector_route.py +++ b/surfsense_backend/app/routes/slack_add_connector_route.py @@ -32,7 +32,7 @@ from app.utils.connector_naming import ( generate_unique_connector_name, ) from app.utils.oauth_security import OAuthStateManager, TokenEncryption -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access logger = logging.getLogger(__name__) @@ -87,7 +87,7 @@ async def connect_slack( Initiate Slack OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -319,7 +319,7 @@ async def slack_callback( connector_type=SearchSourceConnectorType.SLACK_CONNECTOR, is_indexable=False, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) session.add(new_connector) @@ -565,7 +565,7 @@ async def get_slack_channels( detail="Slack connector not found or access denied", ) - await check_search_space_access(session, auth, connector.search_space_id) + await check_workspace_access(session, auth, connector.workspace_id) # Get credentials and decrypt bot token credentials = SlackAuthCredentialsBase.from_dict(connector.config) diff --git a/surfsense_backend/app/routes/stripe_routes.py b/surfsense_backend/app/routes/stripe_routes.py index 288e38cc2..459b23d60 100644 --- a/surfsense_backend/app/routes/stripe_routes.py +++ b/surfsense_backend/app/routes/stripe_routes.py @@ -65,7 +65,7 @@ def _ensure_credit_buying_enabled() -> None: ) -def _get_checkout_urls(search_space_id: int) -> tuple[str, str]: +def _get_checkout_urls(workspace_id: int) -> tuple[str, str]: if not config.NEXT_FRONTEND_URL: raise HTTPException( status_code=status.HTTP_503_SERVICE_UNAVAILABLE, @@ -79,10 +79,10 @@ def _get_checkout_urls(search_space_id: int) -> tuple[str, str]: # webhook-vs-redirect race where users land on /purchase-success before # checkout.session.completed has been delivered. success_url = ( - f"{base_url}/dashboard/{search_space_id}/purchase-success" + f"{base_url}/dashboard/{workspace_id}/purchase-success" f"?session_id={{CHECKOUT_SESSION_ID}}" ) - cancel_url = f"{base_url}/dashboard/{search_space_id}/purchase-cancel" + cancel_url = f"{base_url}/dashboard/{workspace_id}/purchase-cancel" return success_url, cancel_url @@ -471,7 +471,7 @@ async def create_credit_checkout_session( _ensure_credit_buying_enabled() stripe_client = get_stripe_client() price_id = _get_required_credit_price_id() - success_url, cancel_url = _get_checkout_urls(body.search_space_id) + success_url, cancel_url = _get_checkout_urls(body.workspace_id) credit_micros_granted = body.quantity * config.STRIPE_CREDIT_MICROS_PER_UNIT try: @@ -832,11 +832,11 @@ async def create_auto_reload_setup_session( base_url = config.NEXT_FRONTEND_URL.rstrip("/") success_url = ( - f"{base_url}/dashboard/{body.search_space_id}/user-settings/purchases" + f"{base_url}/dashboard/{body.workspace_id}/user-settings/purchases" f"?auto_reload_setup=success" ) cancel_url = ( - f"{base_url}/dashboard/{body.search_space_id}/user-settings/purchases" + f"{base_url}/dashboard/{body.workspace_id}/user-settings/purchases" f"?auto_reload_setup=cancel" ) diff --git a/surfsense_backend/app/routes/team_memory_routes.py b/surfsense_backend/app/routes/team_memory_routes.py index 76d934cb2..348ac5b18 100644 --- a/surfsense_backend/app/routes/team_memory_routes.py +++ b/surfsense_backend/app/routes/team_memory_routes.py @@ -1,4 +1,4 @@ -"""Routes for search-space team memory.""" +"""Routes for workspace team memory.""" from __future__ import annotations @@ -17,7 +17,7 @@ from app.services.memory import ( save_memory, ) from app.users import get_auth_context -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access router = APIRouter() @@ -26,32 +26,32 @@ class TeamMemoryUpdate(BaseModel): memory_md: str -@router.get("/searchspaces/{search_space_id}/memory", response_model=MemoryRead) +@router.get("/workspaces/{workspace_id}/memory", response_model=MemoryRead) async def get_team_memory( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): - await check_search_space_access(session, auth, search_space_id) + await check_workspace_access(session, auth, workspace_id) memory_md = await read_memory( scope=MemoryScope.TEAM, - target_id=search_space_id, + target_id=workspace_id, session=session, ) return MemoryRead(memory_md=memory_md, limits=memory_limits()) -@router.put("/searchspaces/{search_space_id}/memory", response_model=MemoryRead) +@router.put("/workspaces/{workspace_id}/memory", response_model=MemoryRead) async def update_team_memory( - search_space_id: int, + workspace_id: int, body: TeamMemoryUpdate, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): - await check_search_space_access(session, auth, search_space_id) + await check_workspace_access(session, auth, workspace_id) result = await save_memory( scope=MemoryScope.TEAM, - target_id=search_space_id, + target_id=workspace_id, content=body.memory_md, session=session, ) @@ -60,16 +60,16 @@ async def update_team_memory( return MemoryRead(memory_md=result.memory_md, limits=memory_limits()) -@router.post("/searchspaces/{search_space_id}/memory/reset", response_model=MemoryRead) +@router.post("/workspaces/{workspace_id}/memory/reset", response_model=MemoryRead) async def reset_team_memory( - search_space_id: int, + workspace_id: int, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): - await check_search_space_access(session, auth, search_space_id) + await check_workspace_access(session, auth, workspace_id) result = await reset_memory( scope=MemoryScope.TEAM, - target_id=search_space_id, + target_id=workspace_id, session=session, ) if result.status == "error": diff --git a/surfsense_backend/app/routes/teams_add_connector_route.py b/surfsense_backend/app/routes/teams_add_connector_route.py index 3782b4720..21c089be0 100644 --- a/surfsense_backend/app/routes/teams_add_connector_route.py +++ b/surfsense_backend/app/routes/teams_add_connector_route.py @@ -29,6 +29,7 @@ from app.utils.connector_naming import ( generate_unique_connector_name, ) from app.utils.oauth_security import OAuthStateManager, TokenEncryption +from app.utils.validators import raise_if_connector_deprecated logger = logging.getLogger(__name__) @@ -82,7 +83,7 @@ async def connect_teams( Initiate Microsoft Teams OAuth flow. Args: - space_id: The search space ID + space_id: The workspace ID user: Current authenticated user Returns: @@ -90,6 +91,8 @@ async def connect_teams( """ user = auth.user try: + raise_if_connector_deprecated(SearchSourceConnectorType.TEAMS_CONNECTOR) + if not space_id: raise HTTPException(status_code=400, detail="space_id is required") @@ -327,7 +330,7 @@ async def teams_callback( connector_type=SearchSourceConnectorType.TEAMS_CONNECTOR, is_indexable=False, config=connector_config, - search_space_id=space_id, + workspace_id=space_id, user_id=user_id, ) diff --git a/surfsense_backend/app/routes/video_presentations_routes.py b/surfsense_backend/app/routes/video_presentations_routes.py index e40ccb2f9..e0d3ea78e 100644 --- a/surfsense_backend/app/routes/video_presentations_routes.py +++ b/surfsense_backend/app/routes/video_presentations_routes.py @@ -19,9 +19,9 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.auth.context import AuthContext from app.db import ( Permission, - SearchSpace, - SearchSpaceMembership, VideoPresentation, + Workspace, + WorkspaceMembership, get_async_session, ) from app.schemas import VideoPresentationRead @@ -35,38 +35,38 @@ router = APIRouter() async def read_video_presentations( skip: int = 0, limit: int = 100, - search_space_id: int | None = None, + workspace_id: int | None = None, session: AsyncSession = Depends(get_async_session), auth: AuthContext = Depends(get_auth_context), ): user = auth.user """ List video presentations the user has access to. - Requires VIDEO_PRESENTATIONS_READ permission for the search space(s). + Requires VIDEO_PRESENTATIONS_READ permission for the workspace(s). """ if skip < 0 or limit < 1: raise HTTPException(status_code=400, detail="Invalid pagination parameters") try: - if search_space_id is not None: + if workspace_id is not None: await check_permission( session, auth, - search_space_id, + workspace_id, Permission.VIDEO_PRESENTATIONS_READ.value, - "You don't have permission to read video presentations in this search space", + "You don't have permission to read video presentations in this workspace", ) result = await session.execute( select(VideoPresentation) - .filter(VideoPresentation.search_space_id == search_space_id) + .filter(VideoPresentation.workspace_id == workspace_id) .offset(skip) .limit(limit) ) else: result = await session.execute( select(VideoPresentation) - .join(SearchSpace) - .join(SearchSpaceMembership) - .filter(SearchSpaceMembership.user_id == user.id) + .join(Workspace) + .join(WorkspaceMembership) + .filter(WorkspaceMembership.user_id == user.id) .offset(skip) .limit(limit) ) @@ -114,9 +114,9 @@ async def read_video_presentation( await check_permission( session, auth, - video_pres.search_space_id, + video_pres.workspace_id, Permission.VIDEO_PRESENTATIONS_READ.value, - "You don't have permission to read video presentations in this search space", + "You don't have permission to read video presentations in this workspace", ) return VideoPresentationRead.from_orm_with_slides(video_pres) @@ -137,7 +137,7 @@ async def delete_video_presentation( ): """ Delete a video presentation. - Requires VIDEO_PRESENTATIONS_DELETE permission for the search space. + Requires VIDEO_PRESENTATIONS_DELETE permission for the workspace. """ try: result = await session.execute( @@ -153,9 +153,9 @@ async def delete_video_presentation( await check_permission( session, auth, - db_video_pres.search_space_id, + db_video_pres.workspace_id, Permission.VIDEO_PRESENTATIONS_DELETE.value, - "You don't have permission to delete video presentations in this search space", + "You don't have permission to delete video presentations in this workspace", ) await session.delete(db_video_pres) @@ -196,9 +196,9 @@ async def stream_slide_audio( await check_permission( session, auth, - video_pres.search_space_id, + video_pres.workspace_id, Permission.VIDEO_PRESENTATIONS_READ.value, - "You don't have permission to access video presentations in this search space", + "You don't have permission to access video presentations in this workspace", ) slides = video_pres.slides or [] diff --git a/surfsense_backend/app/routes/workspaces_routes.py b/surfsense_backend/app/routes/workspaces_routes.py new file mode 100644 index 000000000..4f36ef62b --- /dev/null +++ b/surfsense_backend/app/routes/workspaces_routes.py @@ -0,0 +1,416 @@ +import logging + +from fastapi import APIRouter, Depends, HTTPException +from sqlalchemy import func +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select + +from app.auth.context import AuthContext +from app.db import ( + Permission, + Workspace, + WorkspaceMembership, + WorkspaceRole, + get_async_session, + get_default_roles_config, +) +from app.schemas import ( + WorkspaceApiAccessUpdate, + WorkspaceCreate, + WorkspaceRead, + WorkspaceUpdate, + WorkspaceWithStats, +) +from app.users import allow_any_principal, get_auth_context, require_session_context +from app.utils.rbac import check_permission, check_workspace_access + +logger = logging.getLogger(__name__) + +router = APIRouter() + + +async def create_default_roles_and_membership( + session: AsyncSession, + workspace_id: int, + owner_user_id, +) -> None: + """ + Create default system roles for a workspace and add the owner as a member. + + Args: + session: Database session + workspace_id: The ID of the newly created workspace + owner_user_id: The UUID of the user who created the workspace + """ + # Create default roles + default_roles = get_default_roles_config() + owner_role_id = None + + for role_config in default_roles: + db_role = WorkspaceRole( + name=role_config["name"], + description=role_config["description"], + permissions=role_config["permissions"], + is_default=role_config["is_default"], + is_system_role=role_config["is_system_role"], + workspace_id=workspace_id, + ) + session.add(db_role) + await session.flush() # Get the ID + + if role_config["name"] == "Owner": + owner_role_id = db_role.id + + # Create owner membership + owner_membership = WorkspaceMembership( + user_id=owner_user_id, + workspace_id=workspace_id, + role_id=owner_role_id, + is_owner=True, + ) + session.add(owner_membership) + + +@router.post("/workspaces", response_model=WorkspaceRead) +async def create_workspace( + workspace: WorkspaceCreate, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(require_session_context), +): + user = auth.user + try: + workspace_data = workspace.model_dump() + + # citations_enabled defaults to True (handled by Pydantic schema) + # qna_custom_instructions defaults to None/empty (handled by DB) + + db_workspace = Workspace(**workspace_data, user_id=user.id) + session.add(db_workspace) + await session.flush() # Get the workspace ID + + # Create default roles and owner membership + await create_default_roles_and_membership(session, db_workspace.id, user.id) + + await session.commit() + await session.refresh(db_workspace) + return db_workspace + except HTTPException: + raise + except Exception as e: + await session.rollback() + logger.error(f"Failed to create workspace: {e!s}", exc_info=True) + raise HTTPException( + status_code=500, detail=f"Failed to create workspace: {e!s}" + ) from e + + +@router.get("/workspaces", response_model=list[WorkspaceWithStats]) +async def read_workspaces( + skip: int = 0, + limit: int = 200, + owned_only: bool = False, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(allow_any_principal), +): + user = auth.user + """ + Get all workspaces the user has access to, with member count and ownership info. + + Args: + skip: Number of items to skip + limit: Maximum number of items to return + owned_only: If True, only return workspaces owned by the user. + If False (default), return all workspaces the user has access to. + """ + try: + # Exclude spaces that are pending background deletion + not_deleting = ~Workspace.name.startswith("[DELETING] ") + + api_access_filter = ( + Workspace.api_access_enabled == True # noqa: E712 + if auth.is_gated + else True + ) + + if owned_only: + # Return only workspaces where user is the original creator (user_id) + result = await session.execute( + select(Workspace) + .filter(Workspace.user_id == user.id, not_deleting, api_access_filter) + .order_by(Workspace.id.asc()) + .offset(skip) + .limit(limit) + ) + else: + # Return all workspaces the user has membership in + result = await session.execute( + select(Workspace) + .join(WorkspaceMembership) + .filter( + WorkspaceMembership.user_id == user.id, + not_deleting, + api_access_filter, + ) + .order_by(Workspace.id.asc()) + .offset(skip) + .limit(limit) + ) + + workspaces = result.scalars().all() + + # Get member counts and ownership info for each workspace + workspaces_with_stats = [] + for space in workspaces: + # Get member count + count_result = await session.execute( + select(func.count(WorkspaceMembership.id)).filter( + WorkspaceMembership.workspace_id == space.id + ) + ) + member_count = count_result.scalar() or 1 + + # Check if current user is owner + ownership_result = await session.execute( + select(WorkspaceMembership).filter( + WorkspaceMembership.workspace_id == space.id, + WorkspaceMembership.user_id == user.id, + WorkspaceMembership.is_owner == True, # noqa: E712 + ) + ) + is_owner = ownership_result.scalars().first() is not None + + workspaces_with_stats.append( + WorkspaceWithStats( + id=space.id, + name=space.name, + description=space.description, + created_at=space.created_at, + user_id=space.user_id, + citations_enabled=space.citations_enabled, + api_access_enabled=space.api_access_enabled, + qna_custom_instructions=space.qna_custom_instructions, + member_count=member_count, + is_owner=is_owner, + ) + ) + + return workspaces_with_stats + except Exception as e: + raise HTTPException( + status_code=500, detail=f"Failed to fetch workspaces: {e!s}" + ) from e + + +@router.get("/workspaces/{workspace_id}", response_model=WorkspaceRead) +async def read_workspace( + workspace_id: int, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), +): + """ + Get a specific workspace by ID. + Requires SETTINGS_VIEW permission or membership. + """ + try: + # Check if user has access (is a member) + await check_workspace_access(session, auth, workspace_id) + + result = await session.execute( + select(Workspace).filter(Workspace.id == workspace_id) + ) + workspace = result.scalars().first() + + if not workspace: + raise HTTPException(status_code=404, detail="Workspace not found") + + return workspace + + except HTTPException: + raise + except Exception as e: + raise HTTPException( + status_code=500, detail=f"Failed to fetch workspace: {e!s}" + ) from e + + +@router.put("/workspaces/{workspace_id}", response_model=WorkspaceRead) +async def update_workspace( + workspace_id: int, + workspace_update: WorkspaceUpdate, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), +): + """ + Update a workspace. + Requires SETTINGS_UPDATE permission. + """ + try: + # Check permission + await check_permission( + session, + auth, + workspace_id, + Permission.SETTINGS_UPDATE.value, + "You don't have permission to update this workspace", + ) + + result = await session.execute( + select(Workspace).filter(Workspace.id == workspace_id) + ) + db_workspace = result.scalars().first() + + if not db_workspace: + raise HTTPException(status_code=404, detail="Workspace not found") + + update_data = workspace_update.model_dump(exclude_unset=True) + + for key, value in update_data.items(): + setattr(db_workspace, key, value) + await session.commit() + await session.refresh(db_workspace) + return db_workspace + except HTTPException: + raise + except Exception as e: + await session.rollback() + raise HTTPException( + status_code=500, detail=f"Failed to update workspace: {e!s}" + ) from e + + +@router.put("/workspaces/{workspace_id}/api-access", response_model=WorkspaceRead) +async def update_workspace_api_access( + workspace_id: int, + body: WorkspaceApiAccessUpdate, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), +): + """ + Toggle programmatic API/PAT access for a workspace. + Requires API_ACCESS_MANAGE permission. + """ + try: + if not auth.is_session: + raise HTTPException( + status_code=403, + detail="This action requires an interactive session", + ) + + await check_permission( + session, + auth, + workspace_id, + Permission.API_ACCESS_MANAGE.value, + "You don't have permission to manage API access for this workspace", + ) + + result = await session.execute( + select(Workspace).filter(Workspace.id == workspace_id) + ) + db_workspace = result.scalars().first() + + if not db_workspace: + raise HTTPException(status_code=404, detail="Workspace not found") + + db_workspace.api_access_enabled = body.api_access_enabled + await session.commit() + await session.refresh(db_workspace) + return db_workspace + except HTTPException: + raise + except Exception as e: + await session.rollback() + raise HTTPException( + status_code=500, detail=f"Failed to update API access: {e!s}" + ) from e + + +@router.delete("/workspaces/{workspace_id}", response_model=dict) +async def delete_workspace( + workspace_id: int, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), +): + """ + Delete a workspace. + Requires SETTINGS_DELETE permission (only owners have this by default). + + Heavy cascade deletion (documents, chunks, threads, etc.) is dispatched + to Celery so the response is immediate and durable across API restarts. + """ + try: + # Check permission - only those with SETTINGS_DELETE can delete + await check_permission( + session, + auth, + workspace_id, + Permission.SETTINGS_DELETE.value, + "You don't have permission to delete this workspace", + ) + + result = await session.execute( + select(Workspace).filter(Workspace.id == workspace_id) + ) + db_workspace = result.scalars().first() + + if not db_workspace: + raise HTTPException(status_code=404, detail="Workspace not found") + + if (db_workspace.name or "").startswith("[DELETING] "): + raise HTTPException( + status_code=409, + detail="Workspace is already being deleted.", + ) + + # Soft-delete marker (length-safe for String(100)) so users see pending state. + prefix = "[DELETING] " + max_len = 100 + available = max_len - len(prefix) + base_name = db_workspace.name or "" + db_workspace.name = f"{prefix}{base_name[:available]}" + await session.commit() + + # Dispatch durable background deletion via Celery. + # If queue dispatch fails, revert name to avoid stuck "[DELETING]" state. + try: + from app.tasks.celery_tasks.document_tasks import delete_workspace_task + + delete_workspace_task.delay(workspace_id) + except Exception as dispatch_error: + db_workspace.name = base_name + await session.commit() + raise HTTPException( + status_code=503, + detail="Failed to queue background deletion. Please try again.", + ) from dispatch_error + + return {"message": "Workspace deleted successfully"} + except HTTPException: + raise + except Exception as e: + await session.rollback() + raise HTTPException( + status_code=500, detail=f"Failed to delete workspace: {e!s}" + ) from e + + +@router.get("/workspaces/{workspace_id}/snapshots") +async def list_workspace_snapshots( + workspace_id: int, + session: AsyncSession = Depends(get_async_session), + auth: AuthContext = Depends(get_auth_context), +): + """ + List all public chat snapshots for a workspace. + + Requires PUBLIC_SHARING_VIEW permission. + """ + from app.schemas.new_chat import PublicChatSnapshotsBySpaceResponse + from app.services.public_chat_service import list_snapshots_for_workspace + + snapshots = await list_snapshots_for_workspace( + session=session, + workspace_id=workspace_id, + auth=auth, + ) + return PublicChatSnapshotsBySpaceResponse(snapshots=snapshots) diff --git a/surfsense_backend/app/schemas/__init__.py b/surfsense_backend/app/schemas/__init__.py index f111f0226..845136cfc 100644 --- a/surfsense_backend/app/schemas/__init__.py +++ b/surfsense_backend/app/schemas/__init__.py @@ -84,7 +84,7 @@ from .rbac_schemas import ( RoleCreate, RoleRead, RoleUpdate, - UserSearchSpaceAccess, + UserWorkspaceAccess, ) from .reports import ( ReportBase, @@ -103,14 +103,6 @@ from .search_source_connector import ( SearchSourceConnectorRead, SearchSourceConnectorUpdate, ) -from .search_space import ( - SearchSpaceApiAccessUpdate, - SearchSpaceBase, - SearchSpaceCreate, - SearchSpaceRead, - SearchSpaceUpdate, - SearchSpaceWithStats, -) from .stripe import ( CreateCreditCheckoutSessionRequest, CreateCreditCheckoutSessionResponse, @@ -128,6 +120,14 @@ from .video_presentations import ( VideoPresentationRead, VideoPresentationUpdate, ) +from .workspace import ( + WorkspaceApiAccessUpdate, + WorkspaceBase, + WorkspaceCreate, + WorkspaceRead, + WorkspaceUpdate, + WorkspaceWithStats, +) __all__ = [ # Folder schemas @@ -242,13 +242,6 @@ __all__ = [ "SearchSourceConnectorCreate", "SearchSourceConnectorRead", "SearchSourceConnectorUpdate", - "SearchSpaceApiAccessUpdate", - # Search space schemas - "SearchSpaceBase", - "SearchSpaceCreate", - "SearchSpaceRead", - "SearchSpaceUpdate", - "SearchSpaceWithStats", "StripeWebhookResponse", "ThreadHistoryLoadResponse", "ThreadListItem", @@ -257,12 +250,19 @@ __all__ = [ # User schemas "UserCreate", "UserRead", - "UserSearchSpaceAccess", "UserUpdate", + "UserWorkspaceAccess", "VerifyConnectionResponse", # Video Presentation schemas "VideoPresentationBase", "VideoPresentationCreate", "VideoPresentationRead", "VideoPresentationUpdate", + "WorkspaceApiAccessUpdate", + # Workspace schemas + "WorkspaceBase", + "WorkspaceCreate", + "WorkspaceRead", + "WorkspaceUpdate", + "WorkspaceWithStats", ] diff --git a/surfsense_backend/app/schemas/chat_comments.py b/surfsense_backend/app/schemas/chat_comments.py index 984e8b812..c9d230a6d 100644 --- a/surfsense_backend/app/schemas/chat_comments.py +++ b/surfsense_backend/app/schemas/chat_comments.py @@ -110,8 +110,8 @@ class MentionContextResponse(BaseModel): thread_id: int thread_title: str message_id: int - search_space_id: int - search_space_name: str + workspace_id: int + workspace_name: str class MentionCommentResponse(BaseModel): diff --git a/surfsense_backend/app/schemas/documents.py b/surfsense_backend/app/schemas/documents.py index 49d2836b2..da0c0e506 100644 --- a/surfsense_backend/app/schemas/documents.py +++ b/surfsense_backend/app/schemas/documents.py @@ -30,7 +30,7 @@ class DocumentBase(BaseModel): content: ( list[ExtensionDocumentContent] | list[str] | str ) # Updated to allow string content - search_space_id: int + workspace_id: int class DocumentsCreate(DocumentBase): @@ -59,7 +59,7 @@ class DocumentRead(BaseModel): unique_identifier_hash: str | None created_at: datetime updated_at: datetime | None - search_space_id: int + workspace_id: int folder_id: int | None = None created_by_id: UUID | None = None created_by_name: str | None = None diff --git a/surfsense_backend/app/schemas/folders.py b/surfsense_backend/app/schemas/folders.py index a7e065144..9d3444ed4 100644 --- a/surfsense_backend/app/schemas/folders.py +++ b/surfsense_backend/app/schemas/folders.py @@ -10,7 +10,7 @@ from pydantic import BaseModel, ConfigDict, Field class FolderCreate(BaseModel): name: str = Field(max_length=255, min_length=1) parent_id: int | None = None - search_space_id: int + workspace_id: int class FolderUpdate(BaseModel): @@ -31,7 +31,7 @@ class FolderRead(BaseModel): name: str position: str parent_id: int | None - search_space_id: int + workspace_id: int created_by_id: UUID | None created_at: datetime updated_at: datetime diff --git a/surfsense_backend/app/schemas/image_generation.py b/surfsense_backend/app/schemas/image_generation.py index ebd0fa0ac..60307e827 100644 --- a/surfsense_backend/app/schemas/image_generation.py +++ b/surfsense_backend/app/schemas/image_generation.py @@ -34,15 +34,15 @@ class ImageGenerationCreate(BaseModel): size: str | None = Field(None, max_length=50) style: str | None = Field(None, max_length=50) response_format: str | None = Field(None, max_length=50) - search_space_id: int = Field( - ..., description="Search space ID to associate the generation with" + workspace_id: int = Field( + ..., description="Workspace ID to associate the generation with" ) image_gen_model_id: int | None = Field( None, description=( "Image generation model ID. " "0 = Auto mode, negative = GLOBAL model, positive = BYOK Model row. " - "If not provided, uses the search space's image_gen_model_id preference." + "If not provided, uses the workspace's image_gen_model_id preference." ), ) @@ -61,7 +61,7 @@ class ImageGenerationRead(BaseModel): image_gen_model_id: int | None = None response_data: dict[str, Any] | None = None error_message: str | None = None - search_space_id: int + workspace_id: int created_at: datetime model_config = ConfigDict(from_attributes=True) @@ -76,7 +76,7 @@ class ImageGenerationListRead(BaseModel): n: int | None = None quality: str | None = None size: str | None = None - search_space_id: int + workspace_id: int created_at: datetime is_success: bool image_count: int | None = None @@ -99,7 +99,7 @@ class ImageGenerationListRead(BaseModel): n=obj.n, quality=obj.quality, size=obj.size, - search_space_id=obj.search_space_id, + workspace_id=obj.workspace_id, created_at=obj.created_at, is_success=obj.response_data is not None, image_count=image_count, diff --git a/surfsense_backend/app/schemas/logs.py b/surfsense_backend/app/schemas/logs.py index a47d5db76..a79aab038 100644 --- a/surfsense_backend/app/schemas/logs.py +++ b/surfsense_backend/app/schemas/logs.py @@ -22,7 +22,7 @@ class LogCreate(BaseModel): message: str source: str | None = None log_metadata: dict[str, Any] | None = None - search_space_id: int + workspace_id: int class LogUpdate(BaseModel): @@ -36,7 +36,7 @@ class LogUpdate(BaseModel): class LogRead(LogBase, IDModel, TimestampModel): id: int created_at: datetime - search_space_id: int + workspace_id: int model_config = ConfigDict(from_attributes=True) @@ -45,7 +45,7 @@ class LogFilter(BaseModel): level: LogLevel | None = None status: LogStatus | None = None source: str | None = None - search_space_id: int | None = None + workspace_id: int | None = None start_date: datetime | None = None end_date: datetime | None = None diff --git a/surfsense_backend/app/schemas/model_connections.py b/surfsense_backend/app/schemas/model_connections.py index 0eec666c1..7b7ac33ed 100644 --- a/surfsense_backend/app/schemas/model_connections.py +++ b/surfsense_backend/app/schemas/model_connections.py @@ -34,7 +34,7 @@ class ConnectionRead(BaseModel): api_key: str | None = None extra: dict[str, Any] = Field(default_factory=dict) scope: ConnectionScope | str - search_space_id: int | None = None + workspace_id: int | None = None user_id: uuid.UUID | None = None enabled: bool has_api_key: bool @@ -76,7 +76,7 @@ class ConnectionCreate(BaseModel): api_key: str | None = None extra: dict[str, Any] = Field(default_factory=dict) scope: ConnectionScope = ConnectionScope.SEARCH_SPACE - search_space_id: int | None = None + workspace_id: int | None = None enabled: bool = True models: list[ModelSelection] = Field(default_factory=list) diff --git a/surfsense_backend/app/schemas/new_chat.py b/surfsense_backend/app/schemas/new_chat.py index e486b3dda..356668a7a 100644 --- a/surfsense_backend/app/schemas/new_chat.py +++ b/surfsense_backend/app/schemas/new_chat.py @@ -85,7 +85,7 @@ class NewChatThreadBase(BaseModel): class NewChatThreadCreate(NewChatThreadBase): """Schema for creating a new thread.""" - search_space_id: int + workspace_id: int # Visibility defaults to PRIVATE, but can be set on creation visibility: ChatVisibility = ChatVisibility.PRIVATE @@ -108,7 +108,7 @@ class NewChatThreadRead(NewChatThreadBase, IDModel): Schema for reading a thread (matches assistant-ui ThreadRecord). """ - search_space_id: int + workspace_id: int visibility: ChatVisibility created_by_id: UUID | None = None created_at: datetime @@ -236,7 +236,7 @@ class NewChatRequest(BaseModel): chat_id: int user_query: str - search_space_id: int + workspace_id: int messages: list[ChatMessage] | None = None # Optional chat history from frontend mentioned_document_ids: list[int] | None = ( None # Optional document IDs mentioned with @ in the chat @@ -279,7 +279,7 @@ class NewChatRequest(BaseModel): default=None, description=( "Other chat thread IDs the user @-mentioned. Each is " - "resolved (access-checked, same search space) into a " + "resolved (access-checked, same workspace) into a " "read-only ``<referenced_chat_context>`` block prepended to " "the agent query. Display chips persist via the " "``mentioned_documents`` list (kind=``thread``)." @@ -330,7 +330,7 @@ class RegenerateRequest(BaseModel): ``data-revert-results`` and do not abort the regeneration. """ - search_space_id: int + workspace_id: int user_query: str | None = ( None # New user query (for edit). None = reload with same query ) @@ -428,7 +428,7 @@ class ResumeDecision(BaseModel): class ResumeRequest(BaseModel): - search_space_id: int + workspace_id: int decisions: list[ResumeDecision] # Mirrors ``NewChatRequest.disabled_tools`` so the resumed run sees the # same tool surface as the originating turn. @@ -520,7 +520,7 @@ class PublicChatSnapshotDetail(BaseModel): class PublicChatSnapshotsBySpaceResponse(BaseModel): - """List of public chat snapshots for a search space.""" + """List of public chat snapshots for a workspace.""" snapshots: list[PublicChatSnapshotDetail] @@ -556,4 +556,4 @@ class CloneResponse(BaseModel): """Response after cloning a public snapshot.""" thread_id: int - search_space_id: int + workspace_id: int diff --git a/surfsense_backend/app/schemas/obsidian_plugin.py b/surfsense_backend/app/schemas/obsidian_plugin.py index 89be08c8e..21943a016 100644 --- a/surfsense_backend/app/schemas/obsidian_plugin.py +++ b/surfsense_backend/app/schemas/obsidian_plugin.py @@ -150,7 +150,7 @@ class ConnectRequest(_PluginBase): vault_id: str vault_name: str - search_space_id: int + workspace_id: int vault_fingerprint: str = Field( ..., description=( @@ -167,7 +167,7 @@ class ConnectResponse(_PluginBase): connector_id: int vault_id: str - search_space_id: int + workspace_id: int capabilities: list[str] server_time_utc: datetime diff --git a/surfsense_backend/app/schemas/prompts.py b/surfsense_backend/app/schemas/prompts.py index 9f11520ff..d744a023f 100644 --- a/surfsense_backend/app/schemas/prompts.py +++ b/surfsense_backend/app/schemas/prompts.py @@ -7,7 +7,7 @@ class PromptCreate(BaseModel): name: str = Field(..., min_length=1, max_length=200) prompt: str = Field(..., min_length=1) mode: str = Field(..., pattern="^(transform|explore)$") - search_space_id: int | None = None + workspace_id: int | None = None is_public: bool = False @@ -23,7 +23,7 @@ class PromptRead(BaseModel): name: str prompt: str mode: str - search_space_id: int | None + workspace_id: int | None is_public: bool version: int created_at: datetime diff --git a/surfsense_backend/app/schemas/rbac_schemas.py b/surfsense_backend/app/schemas/rbac_schemas.py index 8de8426c3..234c4e1a9 100644 --- a/surfsense_backend/app/schemas/rbac_schemas.py +++ b/surfsense_backend/app/schemas/rbac_schemas.py @@ -38,7 +38,7 @@ class RoleRead(RoleBase): """Schema for reading a role.""" id: int - search_space_id: int + workspace_id: int is_system_role: bool created_at: datetime @@ -66,7 +66,7 @@ class MembershipRead(BaseModel): id: int user_id: UUID - search_space_id: int + workspace_id: int role_id: int | None is_owner: bool joined_at: datetime @@ -123,7 +123,7 @@ class InviteRead(InviteBase): id: int invite_code: str - search_space_id: int + workspace_id: int created_by_id: UUID | None uses_count: int is_active: bool @@ -145,15 +145,15 @@ class InviteAcceptResponse(BaseModel): """Response schema for accepting an invite.""" message: str - search_space_id: int - search_space_name: str + workspace_id: int + workspace_name: str role_name: str | None class InviteInfoResponse(BaseModel): """Response schema for getting invite info (public endpoint).""" - search_space_name: str + workspace_name: str role_name: str | None is_valid: bool message: str | None = None @@ -180,11 +180,11 @@ class PermissionsListResponse(BaseModel): # ============ User Access Info ============ -class UserSearchSpaceAccess(BaseModel): - """Schema for user's access info in a search space.""" +class UserWorkspaceAccess(BaseModel): + """Schema for user's access info in a workspace.""" - search_space_id: int - search_space_name: str + workspace_id: int + workspace_name: str is_owner: bool role_name: str | None permissions: list[str] diff --git a/surfsense_backend/app/schemas/reports.py b/surfsense_backend/app/schemas/reports.py index cfd9d89ca..e7444f6c2 100644 --- a/surfsense_backend/app/schemas/reports.py +++ b/surfsense_backend/app/schemas/reports.py @@ -12,7 +12,7 @@ class ReportBase(BaseModel): title: str content: str | None = None report_style: str | None = None - search_space_id: int + workspace_id: int class ReportRead(BaseModel): diff --git a/surfsense_backend/app/schemas/search_source_connector.py b/surfsense_backend/app/schemas/search_source_connector.py index 982931859..b915e8015 100644 --- a/surfsense_backend/app/schemas/search_source_connector.py +++ b/surfsense_backend/app/schemas/search_source_connector.py @@ -73,7 +73,7 @@ class SearchSourceConnectorUpdate(BaseModel): class SearchSourceConnectorRead(SearchSourceConnectorBase, IDModel, TimestampModel): - search_space_id: int + workspace_id: int user_id: uuid.UUID model_config = ConfigDict(from_attributes=True) @@ -129,7 +129,7 @@ class MCPConnectorRead(BaseModel): name: str connector_type: SearchSourceConnectorType server_config: MCPServerConfig - search_space_id: int + workspace_id: int user_id: uuid.UUID created_at: datetime updated_at: datetime @@ -148,7 +148,7 @@ class MCPConnectorRead(BaseModel): name=connector.name, connector_type=connector.connector_type, server_config=server_config, - search_space_id=connector.search_space_id, + workspace_id=connector.workspace_id, user_id=connector.user_id, created_at=connector.created_at, updated_at=connector.updated_at, diff --git a/surfsense_backend/app/schemas/stripe.py b/surfsense_backend/app/schemas/stripe.py index 95c946a3d..b0b6d25de 100644 --- a/surfsense_backend/app/schemas/stripe.py +++ b/surfsense_backend/app/schemas/stripe.py @@ -12,7 +12,7 @@ class CreateCreditCheckoutSessionRequest(BaseModel): """Request body for creating a credit-purchase checkout session.""" quantity: int = Field(ge=1, le=10_000) - search_space_id: int = Field(ge=1) + workspace_id: int = Field(ge=1) class CreateCreditCheckoutSessionResponse(BaseModel): @@ -114,7 +114,7 @@ class UpdateAutoReloadSettingsRequest(BaseModel): class CreateAutoReloadSetupSessionRequest(BaseModel): """Request body for starting the save-a-card (SetupIntent) checkout.""" - search_space_id: int = Field(ge=1) + workspace_id: int = Field(ge=1) class CreateAutoReloadSetupSessionResponse(BaseModel): diff --git a/surfsense_backend/app/schemas/video_presentations.py b/surfsense_backend/app/schemas/video_presentations.py index 68ef3f5ba..f65dee282 100644 --- a/surfsense_backend/app/schemas/video_presentations.py +++ b/surfsense_backend/app/schemas/video_presentations.py @@ -20,7 +20,7 @@ class VideoPresentationBase(BaseModel): title: str slides: list[dict[str, Any]] | None = None scene_codes: list[dict[str, Any]] | None = None - search_space_id: int + workspace_id: int class VideoPresentationCreate(VideoPresentationBase): @@ -65,7 +65,7 @@ class VideoPresentationRead(VideoPresentationBase): "title": obj.title, "slides": slides, "scene_codes": obj.scene_codes, - "search_space_id": obj.search_space_id, + "workspace_id": obj.workspace_id, "status": obj.status, "created_at": obj.created_at, "slide_count": len(obj.slides) if obj.slides else None, diff --git a/surfsense_backend/app/schemas/search_space.py b/surfsense_backend/app/schemas/workspace.py similarity index 64% rename from surfsense_backend/app/schemas/search_space.py rename to surfsense_backend/app/schemas/workspace.py index d74c46716..57b7e0a52 100644 --- a/surfsense_backend/app/schemas/search_space.py +++ b/surfsense_backend/app/schemas/workspace.py @@ -6,29 +6,28 @@ from pydantic import BaseModel, ConfigDict from .base import IDModel, TimestampModel -class SearchSpaceBase(BaseModel): +class WorkspaceBase(BaseModel): name: str description: str | None = None -class SearchSpaceCreate(SearchSpaceBase): +class WorkspaceCreate(WorkspaceBase): citations_enabled: bool = True qna_custom_instructions: str | None = None -class SearchSpaceUpdate(BaseModel): +class WorkspaceUpdate(BaseModel): name: str | None = None description: str | None = None citations_enabled: bool | None = None qna_custom_instructions: str | None = None - ai_file_sort_enabled: bool | None = None -class SearchSpaceApiAccessUpdate(BaseModel): +class WorkspaceApiAccessUpdate(BaseModel): api_access_enabled: bool -class SearchSpaceRead(SearchSpaceBase, IDModel, TimestampModel): +class WorkspaceRead(WorkspaceBase, IDModel, TimestampModel): id: int created_at: datetime user_id: uuid.UUID @@ -36,13 +35,12 @@ class SearchSpaceRead(SearchSpaceBase, IDModel, TimestampModel): api_access_enabled: bool = False qna_custom_instructions: str | None = None shared_memory_md: str | None = None - ai_file_sort_enabled: bool = False model_config = ConfigDict(from_attributes=True) -class SearchSpaceWithStats(SearchSpaceRead): - """Extended search space info with member count and ownership status.""" +class WorkspaceWithStats(WorkspaceRead): + """Extended workspace info with member count and ownership status.""" member_count: int = 1 is_owner: bool = False diff --git a/surfsense_backend/app/services/ai_file_sort_service.py b/surfsense_backend/app/services/ai_file_sort_service.py deleted file mode 100644 index 1bf4d325e..000000000 --- a/surfsense_backend/app/services/ai_file_sort_service.py +++ /dev/null @@ -1,329 +0,0 @@ -"""AI File Sort Service: builds connector-type/date/category/subcategory folder paths.""" - -from __future__ import annotations - -import json -import logging -import re -from datetime import UTC, datetime - -from langchain_core.messages import HumanMessage -from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.future import select -from sqlalchemy.orm import selectinload - -from app.db import ( - Chunk, - Document, - DocumentType, - SearchSourceConnector, - SearchSourceConnectorType, -) -from app.services.folder_service import ensure_folder_hierarchy_with_depth_validation - -logger = logging.getLogger(__name__) - -_DOCTYPE_TO_CONNECTOR_LABEL: dict[str, str] = { - DocumentType.EXTENSION: "Browser Extension", - DocumentType.CRAWLED_URL: "Web Crawl", - DocumentType.FILE: "File Upload", - DocumentType.SLACK_CONNECTOR: "Slack", - DocumentType.TEAMS_CONNECTOR: "Teams", - DocumentType.ONEDRIVE_FILE: "OneDrive", - DocumentType.NOTION_CONNECTOR: "Notion", - DocumentType.YOUTUBE_VIDEO: "YouTube", - DocumentType.GITHUB_CONNECTOR: "GitHub", - DocumentType.LINEAR_CONNECTOR: "Linear", - DocumentType.DISCORD_CONNECTOR: "Discord", - DocumentType.JIRA_CONNECTOR: "Jira", - DocumentType.CONFLUENCE_CONNECTOR: "Confluence", - DocumentType.CLICKUP_CONNECTOR: "ClickUp", - DocumentType.GOOGLE_CALENDAR_CONNECTOR: "Google Calendar", - DocumentType.GOOGLE_GMAIL_CONNECTOR: "Gmail", - DocumentType.GOOGLE_DRIVE_FILE: "Google Drive", - DocumentType.AIRTABLE_CONNECTOR: "Airtable", - DocumentType.LUMA_CONNECTOR: "Luma", - DocumentType.ELASTICSEARCH_CONNECTOR: "Elasticsearch", - DocumentType.BOOKSTACK_CONNECTOR: "BookStack", - DocumentType.CIRCLEBACK: "Circleback", - DocumentType.OBSIDIAN_CONNECTOR: "Obsidian", - DocumentType.NOTE: "Notes", - DocumentType.DROPBOX_FILE: "Dropbox", - DocumentType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR: "Google Drive (Composio)", - DocumentType.COMPOSIO_GMAIL_CONNECTOR: "Gmail (Composio)", - DocumentType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR: "Google Calendar (Composio)", - DocumentType.LOCAL_FOLDER_FILE: "Local Folder", -} - -_CONNECTOR_TYPE_LABEL: dict[str, str] = { - SearchSourceConnectorType.SERPER_API: "Serper Search", - SearchSourceConnectorType.TAVILY_API: "Tavily Search", - SearchSourceConnectorType.SEARXNG_API: "SearXNG Search", - SearchSourceConnectorType.LINKUP_API: "Linkup Search", - SearchSourceConnectorType.BAIDU_SEARCH_API: "Baidu Search", - SearchSourceConnectorType.SLACK_CONNECTOR: "Slack", - SearchSourceConnectorType.TEAMS_CONNECTOR: "Teams", - SearchSourceConnectorType.ONEDRIVE_CONNECTOR: "OneDrive", - SearchSourceConnectorType.NOTION_CONNECTOR: "Notion", - SearchSourceConnectorType.GITHUB_CONNECTOR: "GitHub", - SearchSourceConnectorType.LINEAR_CONNECTOR: "Linear", - SearchSourceConnectorType.DISCORD_CONNECTOR: "Discord", - SearchSourceConnectorType.JIRA_CONNECTOR: "Jira", - SearchSourceConnectorType.CONFLUENCE_CONNECTOR: "Confluence", - SearchSourceConnectorType.CLICKUP_CONNECTOR: "ClickUp", - SearchSourceConnectorType.GOOGLE_CALENDAR_CONNECTOR: "Google Calendar", - SearchSourceConnectorType.GOOGLE_GMAIL_CONNECTOR: "Gmail", - SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR: "Google Drive", - SearchSourceConnectorType.AIRTABLE_CONNECTOR: "Airtable", - SearchSourceConnectorType.LUMA_CONNECTOR: "Luma", - SearchSourceConnectorType.ELASTICSEARCH_CONNECTOR: "Elasticsearch", - SearchSourceConnectorType.WEBCRAWLER_CONNECTOR: "Web Crawl", - SearchSourceConnectorType.BOOKSTACK_CONNECTOR: "BookStack", - SearchSourceConnectorType.CIRCLEBACK_CONNECTOR: "Circleback", - SearchSourceConnectorType.OBSIDIAN_CONNECTOR: "Obsidian", - SearchSourceConnectorType.MCP_CONNECTOR: "MCP", - SearchSourceConnectorType.DROPBOX_CONNECTOR: "Dropbox", - SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR: "Google Drive (Composio)", - SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR: "Gmail (Composio)", - SearchSourceConnectorType.COMPOSIO_GOOGLE_CALENDAR_CONNECTOR: "Google Calendar (Composio)", -} - -_MAX_CONTENT_CHARS = 4000 -_MAX_CHUNKS_FOR_CONTEXT = 5 - -_CATEGORY_PROMPT = ( - "Based on the document information below, classify it into a broad category " - "and a more specific subcategory.\n\n" - "Rules:\n" - "- category: 1-2 word broad theme (e.g. Science, Finance, Engineering, Communication, Media)\n" - "- subcategory: 1-2 word specific topic within the category " - "(e.g. Physics, Tax Reports, Backend, Team Updates)\n" - "- Use nouns only. Do not include generic terms like 'General' or 'Miscellaneous'.\n\n" - "Title: {title}\n\n" - "Content: {summary}\n\n" - 'Respond with ONLY a JSON object: {{"category": "...", "subcategory": "..."}}' -) - -_SAFE_NAME_RE = re.compile(r"[^a-zA-Z0-9 _\-()]") -_FALLBACK_CATEGORY = "Uncategorized" -_FALLBACK_SUBCATEGORY = "General" - - -def resolve_root_folder_label( - document: Document, connector: SearchSourceConnector | None -) -> str: - if connector is not None: - return _CONNECTOR_TYPE_LABEL.get( - connector.connector_type, str(connector.connector_type) - ) - return _DOCTYPE_TO_CONNECTOR_LABEL.get( - document.document_type, str(document.document_type) - ) - - -def resolve_date_folder(document: Document) -> str: - ts = document.updated_at or document.created_at - if ts is None: - ts = datetime.now(UTC) - return ts.strftime("%Y-%m-%d") - - -def sanitize_category_folder_name( - value: str | None, fallback: str = _FALLBACK_CATEGORY -) -> str: - if not value or not value.strip(): - return fallback - cleaned = _SAFE_NAME_RE.sub("", value.strip()) - cleaned = " ".join(cleaned.split()) - if not cleaned: - return fallback - return cleaned[:50] - - -async def _resolve_document_text( - session: AsyncSession, - document: Document, -) -> str: - """Build the best available text representation for taxonomy generation. - - Prefers ``document.content``; falls back to joining the first few chunks - when content is empty or too short to be useful. - """ - text = (document.content or "").strip() - if len(text) >= 100: - return text[:_MAX_CONTENT_CHARS] - - stmt = ( - select(Chunk.content) - .where(Chunk.document_id == document.id) - .order_by(Chunk.position, Chunk.id) - .limit(_MAX_CHUNKS_FOR_CONTEXT) - ) - result = await session.execute(stmt) - chunk_texts = [row[0] for row in result.all() if row[0]] - if chunk_texts: - combined = "\n\n".join(chunk_texts) - return combined[:_MAX_CONTENT_CHARS] - - return text[:_MAX_CONTENT_CHARS] - - -def _get_cached_taxonomy(document: Document) -> tuple[str, str] | None: - """Return (category, subcategory) from document metadata cache, or None.""" - meta = document.document_metadata - if not isinstance(meta, dict): - return None - cat = meta.get("ai_sort_category") - subcat = meta.get("ai_sort_subcategory") - if cat and subcat and isinstance(cat, str) and isinstance(subcat, str): - return cat, subcat - return None - - -def _set_cached_taxonomy(document: Document, category: str, subcategory: str) -> None: - """Persist the AI taxonomy on document metadata for deterministic re-sorts.""" - meta = dict(document.document_metadata or {}) - meta["ai_sort_category"] = category - meta["ai_sort_subcategory"] = subcategory - document.document_metadata = meta - - -async def generate_ai_taxonomy( - title: str, - summary_or_content: str, - llm, -) -> tuple[str, str]: - """Return (category, subcategory) using a single structured LLM call.""" - text = (summary_or_content or "").strip() - if not text: - return _FALLBACK_CATEGORY, _FALLBACK_SUBCATEGORY - - if len(text) > _MAX_CONTENT_CHARS: - text = text[:_MAX_CONTENT_CHARS] - - prompt = _CATEGORY_PROMPT.format(title=title or "Untitled", summary=text) - try: - result = await llm.ainvoke([HumanMessage(content=prompt)]) - raw = result.content.strip() - if raw.startswith("```"): - raw = raw.split("\n", 1)[-1].rsplit("```", 1)[0].strip() - parsed = json.loads(raw) - category = sanitize_category_folder_name( - parsed.get("category"), _FALLBACK_CATEGORY - ) - subcategory = sanitize_category_folder_name( - parsed.get("subcategory"), _FALLBACK_SUBCATEGORY - ) - return category, subcategory - except Exception: - logger.warning("AI taxonomy generation failed, using fallback", exc_info=True) - return _FALLBACK_CATEGORY, _FALLBACK_SUBCATEGORY - - -def _build_path_segments( - root_label: str, - date_label: str, - category: str, - subcategory: str, -) -> list[dict]: - return [ - {"name": root_label, "metadata": {"ai_sort": True, "ai_sort_level": 1}}, - {"name": date_label, "metadata": {"ai_sort": True, "ai_sort_level": 2}}, - {"name": category, "metadata": {"ai_sort": True, "ai_sort_level": 3}}, - {"name": subcategory, "metadata": {"ai_sort": True, "ai_sort_level": 4}}, - ] - - -async def _resolve_taxonomy( - session: AsyncSession, - document: Document, - llm, -) -> tuple[str, str]: - """Return (category, subcategory), reusing cached values when available.""" - cached = _get_cached_taxonomy(document) - if cached is not None: - return cached - - content_text = await _resolve_document_text(session, document) - category, subcategory = await generate_ai_taxonomy( - document.title, content_text, llm - ) - _set_cached_taxonomy(document, category, subcategory) - return category, subcategory - - -async def ai_sort_document( - session: AsyncSession, - document: Document, - llm, -) -> Document: - """Sort a single document into the 4-level AI folder hierarchy.""" - connector: SearchSourceConnector | None = None - if document.connector_id is not None: - connector = await session.get(SearchSourceConnector, document.connector_id) - - root_label = resolve_root_folder_label(document, connector) - date_label = resolve_date_folder(document) - - category, subcategory = await _resolve_taxonomy(session, document, llm) - - segments = _build_path_segments(root_label, date_label, category, subcategory) - - leaf_folder = await ensure_folder_hierarchy_with_depth_validation( - session, - document.search_space_id, - segments, - ) - - document.folder_id = leaf_folder.id - await session.flush() - return document - - -async def ai_sort_all_documents( - session: AsyncSession, - search_space_id: int, - llm, -) -> tuple[int, int]: - """Sort all documents in a search space. Returns (sorted_count, failed_count).""" - stmt = ( - select(Document) - .where(Document.search_space_id == search_space_id) - .options(selectinload(Document.connector)) - ) - result = await session.execute(stmt) - documents = list(result.scalars().all()) - - sorted_count = 0 - failed_count = 0 - - for doc in documents: - try: - connector = doc.connector - root_label = resolve_root_folder_label(doc, connector) - date_label = resolve_date_folder(doc) - - category, subcategory = await _resolve_taxonomy(session, doc, llm) - segments = _build_path_segments( - root_label, date_label, category, subcategory - ) - - leaf_folder = await ensure_folder_hierarchy_with_depth_validation( - session, - search_space_id, - segments, - ) - doc.folder_id = leaf_folder.id - sorted_count += 1 - except Exception: - logger.error("Failed to AI-sort document %s", doc.id, exc_info=True) - failed_count += 1 - - await session.commit() - logger.info( - "AI sort complete for search_space=%d: sorted=%d, failed=%d", - search_space_id, - sorted_count, - failed_count, - ) - return sorted_count, failed_count diff --git a/surfsense_backend/app/services/auto_model_pin_service.py b/surfsense_backend/app/services/auto_model_pin_service.py index f98933a65..08a64d0d4 100644 --- a/surfsense_backend/app/services/auto_model_pin_service.py +++ b/surfsense_backend/app/services/auto_model_pin_service.py @@ -7,7 +7,7 @@ subsequent turns are stable. Single-writer invariant: this module is the only writer of ``NewChatThread.pinned_llm_config_id`` (aside from the bulk clear in -``model_connections_routes`` when a search space's ``chat_model_id`` changes). +``model_connections_routes`` when a workspace's ``chat_model_id`` changes). Therefore a non-NULL value unambiguously means "this thread has an Auto-resolved pin"; no separate source/policy column is needed. """ @@ -366,7 +366,7 @@ def _global_candidates( async def _db_candidates( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, user_id: str | UUID | None, capability: str, requires_image_input: bool = False, @@ -388,7 +388,7 @@ async def _db_candidates( conn = model.connection if not conn: continue - if conn.search_space_id is not None and conn.search_space_id != search_space_id: + if conn.workspace_id is not None and conn.workspace_id != workspace_id: continue if ( conn.user_id is not None @@ -430,7 +430,7 @@ async def _db_candidates( async def auto_model_candidates( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, user_id: str | UUID | None, capability: str, requires_image_input: bool = False, @@ -445,7 +445,7 @@ async def auto_model_candidates( shared_global_cooled_down_ids = _shared_runtime_cooled_down_ids(global_ids) db_candidates = await _db_candidates( session, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, capability=capability, requires_image_input=requires_image_input, @@ -517,7 +517,7 @@ async def resolve_or_get_pinned_llm_config_id( session: AsyncSession, *, thread_id: int, - search_space_id: int, + workspace_id: int, user_id: str | UUID | None, selected_llm_config_id: int, force_repin_free: bool = False, @@ -550,9 +550,9 @@ async def resolve_or_get_pinned_llm_config_id( ) if thread is None: raise ValueError(f"Thread {thread_id} not found") - if thread.search_space_id != search_space_id: + if thread.workspace_id != workspace_id: raise ValueError( - f"Thread {thread_id} does not belong to search space {search_space_id}" + f"Thread {thread_id} does not belong to workspace {workspace_id}" ) # Explicit model selected: clear any stale pin. @@ -569,7 +569,7 @@ async def resolve_or_get_pinned_llm_config_id( excluded_ids = {int(cid) for cid in (exclude_config_ids or set())} candidates = await auto_model_candidates( session, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, capability="chat", requires_image_input=requires_image_input, @@ -595,9 +595,9 @@ async def resolve_or_get_pinned_llm_config_id( ): pinned_cfg = candidate_by_id[int(pinned_id)] logger.info( - "auto_pin_reused thread_id=%s search_space_id=%s resolved_config_id=%s tier=%s", + "auto_pin_reused thread_id=%s workspace_id=%s resolved_config_id=%s tier=%s", thread_id, - search_space_id, + workspace_id, pinned_id, _tier_of(pinned_cfg), ) @@ -622,16 +622,16 @@ async def resolve_or_get_pinned_llm_config_id( # the user's image attachment instead of suspecting a cooldown. if requires_image_input: logger.info( - "auto_pin_repinned_for_image thread_id=%s search_space_id=%s " + "auto_pin_repinned_for_image thread_id=%s workspace_id=%s " "previous_config_id=%s", thread_id, - search_space_id, + workspace_id, pinned_id, ) logger.info( - "auto_pin_invalid thread_id=%s search_space_id=%s pinned_config_id=%s", + "auto_pin_invalid thread_id=%s workspace_id=%s pinned_config_id=%s", thread_id, - search_space_id, + workspace_id, pinned_id, ) @@ -663,27 +663,27 @@ async def resolve_or_get_pinned_llm_config_id( if force_repin_free: logger.info( - "auto_pin_forced_free_repin thread_id=%s search_space_id=%s previous_config_id=%s resolved_config_id=%s", + "auto_pin_forced_free_repin thread_id=%s workspace_id=%s previous_config_id=%s resolved_config_id=%s", thread_id, - search_space_id, + workspace_id, pinned_id, selected_id, ) if pinned_id is None: logger.info( - "auto_pin_created thread_id=%s search_space_id=%s resolved_config_id=%s tier=%s premium_eligible=%s", + "auto_pin_created thread_id=%s workspace_id=%s resolved_config_id=%s tier=%s premium_eligible=%s", thread_id, - search_space_id, + workspace_id, selected_id, selected_tier, premium_eligible, ) else: logger.info( - "auto_pin_repaired thread_id=%s search_space_id=%s previous_config_id=%s resolved_config_id=%s tier=%s premium_eligible=%s", + "auto_pin_repaired thread_id=%s workspace_id=%s previous_config_id=%s resolved_config_id=%s tier=%s premium_eligible=%s", thread_id, - search_space_id, + workspace_id, pinned_id, selected_id, selected_tier, diff --git a/surfsense_backend/app/services/billable_calls.py b/surfsense_backend/app/services/billable_calls.py index 15a3c3e55..5c6f5dd76 100644 --- a/surfsense_backend/app/services/billable_calls.py +++ b/surfsense_backend/app/services/billable_calls.py @@ -117,7 +117,7 @@ async def _record_audit_best_effort( *, session_factory: BillableSessionFactory, usage_type: str, - search_space_id: int, + workspace_id: int, user_id: UUID, prompt_tokens: int, completion_tokens: int, @@ -156,7 +156,7 @@ async def _record_audit_best_effort( await record_token_usage( audit_session, usage_type=usage_type, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens, @@ -217,7 +217,7 @@ async def _record_audit_best_effort( async def billable_call( *, user_id: UUID, - search_space_id: int, + workspace_id: int, billing_tier: str, base_model: str, quota_reserve_tokens: int | None = None, @@ -233,9 +233,9 @@ async def billable_call( Args: user_id: Owner of the credit pool to debit. For vision-LLM during - indexing this is the *search-space owner* (issue M), not the + indexing this is the *workspace owner* (issue M), not the triggering user. - search_space_id: Required — recorded on the ``TokenUsage`` audit row. + workspace_id: Required — recorded on the ``TokenUsage`` audit row. billing_tier: ``"premium"`` debits; anything else (``"free"``) skips the reserve/finalize dance but still records an audit row with the captured cost. @@ -281,7 +281,7 @@ async def billable_call( await _record_audit_best_effort( session_factory=session_factory, usage_type=usage_type, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, prompt_tokens=acc.total_prompt_tokens, completion_tokens=acc.total_completion_tokens, @@ -423,7 +423,7 @@ async def billable_call( await _record_audit_best_effort( session_factory=session_factory, usage_type=usage_type, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, prompt_tokens=acc.total_prompt_tokens, completion_tokens=acc.total_completion_tokens, @@ -438,21 +438,21 @@ async def billable_call( ) -async def _resolve_agent_billing_for_search_space( +async def _resolve_agent_billing_for_workspace( session: AsyncSession, - search_space_id: int, + workspace_id: int, *, thread_id: int | None = None, ) -> tuple[UUID, str, str]: - """Resolve ``(owner_user_id, billing_tier, base_model)`` for the search-space + """Resolve ``(owner_user_id, billing_tier, base_model)`` for the workspace chat model. Used by Celery tasks (podcast generation, video presentation) to bill the - search-space owner's premium credit pool when the chat model is premium. + workspace owner's premium credit pool when the chat model is premium. Resolution rules mirror the chat model role resolver: - - Search space not found / no ``chat_model_id``: raise ``ValueError``. + - Workspace not found / no ``chat_model_id``: raise ``ValueError``. - **Auto mode** (``id == AUTO_MODE_ID == 0``): * ``thread_id`` is set: delegate to ``resolve_or_get_pinned_llm_config_id`` (the same call chat uses) and @@ -481,22 +481,20 @@ async def _resolve_agent_billing_for_search_space( from sqlalchemy import select from sqlalchemy.orm import selectinload - from app.db import Model, SearchSpace + from app.db import Model, Workspace result = await session.execute( - select(SearchSpace).where(SearchSpace.id == search_space_id) + select(Workspace).where(Workspace.id == workspace_id) ) - search_space = result.scalars().first() - if search_space is None: - raise ValueError(f"Search space {search_space_id} not found") + workspace = result.scalars().first() + if workspace is None: + raise ValueError(f"Workspace {workspace_id} not found") - chat_model_id = search_space.chat_model_id + chat_model_id = workspace.chat_model_id if chat_model_id is None: - raise ValueError( - f"Search space {search_space_id} has no chat_model_id configured" - ) + raise ValueError(f"Workspace {workspace_id} has no chat_model_id configured") - owner_user_id: UUID = search_space.user_id + owner_user_id: UUID = workspace.user_id from app.services.auto_model_pin_service import ( AUTO_MODE_ID, @@ -510,15 +508,15 @@ async def _resolve_agent_billing_for_search_space( resolution = await resolve_or_get_pinned_llm_config_id( session, thread_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=str(owner_user_id), selected_llm_config_id=AUTO_MODE_ID, ) except ValueError: logger.warning( "[agent_billing] Auto-mode pin resolution failed for " - "search_space=%s thread=%s; falling back to free", - search_space_id, + "workspace=%s thread=%s; falling back to free", + workspace_id, thread_id, exc_info=True, ) @@ -546,7 +544,7 @@ async def _resolve_agent_billing_for_search_space( and model.connection is not None and model.connection.enabled and ( - model.connection.search_space_id in (None, search_space_id) + model.connection.workspace_id in (None, workspace_id) and model.connection.user_id in (None, owner_user_id) ) ): @@ -558,7 +556,7 @@ async def _resolve_agent_billing_for_search_space( __all__ = [ "BillingSettlementError", "QuotaInsufficientError", - "_resolve_agent_billing_for_search_space", + "_resolve_agent_billing_for_workspace", "billable_call", ] diff --git a/surfsense_backend/app/services/chat_comments_service.py b/surfsense_backend/app/services/chat_comments_service.py index b44f6f37c..2dcad48b9 100644 --- a/surfsense_backend/app/services/chat_comments_service.py +++ b/surfsense_backend/app/services/chat_comments_service.py @@ -17,8 +17,8 @@ from app.db import ( NewChatMessageRole, NewChatThread, Permission, - SearchSpaceMembership, User, + WorkspaceMembership, has_permission, ) from app.notifications.service import NotificationService @@ -64,7 +64,7 @@ async def process_mentions( session: AsyncSession, comment_id: int, content: str, - search_space_id: int, + workspace_id: int, ) -> dict[UUID, int]: """ Parse mentions from content, validate users are members, and insert mention records. @@ -73,7 +73,7 @@ async def process_mentions( session: Database session comment_id: ID of the comment containing mentions content: Comment text with @[uuid] mentions - search_space_id: ID of the search space for membership validation + workspace_id: ID of the workspace for membership validation Returns: Dictionary mapping mentioned user UUID to their mention record ID @@ -84,9 +84,9 @@ async def process_mentions( # Get valid members from the mentioned UUIDs result = await session.execute( - select(SearchSpaceMembership.user_id).filter( - SearchSpaceMembership.search_space_id == search_space_id, - SearchSpaceMembership.user_id.in_(mentioned_uuids), + select(WorkspaceMembership.user_id).filter( + WorkspaceMembership.workspace_id == workspace_id, + WorkspaceMembership.user_id.in_(mentioned_uuids), ) ) valid_member_ids = result.scalars().all() @@ -166,19 +166,19 @@ async def get_comments_for_message( if not message: raise HTTPException(status_code=404, detail="Message not found") - search_space_id = message.thread.search_space_id + workspace_id = message.thread.workspace_id # Check permission to read comments await check_permission( session, auth, - search_space_id, + workspace_id, Permission.COMMENTS_READ.value, - "You don't have permission to read comments in this search space", + "You don't have permission to read comments in this workspace", ) # Get user permissions for can_delete computation - user_permissions = await get_user_permissions(session, user.id, search_space_id) + user_permissions = await get_user_permissions(session, user.id, workspace_id) can_delete_any = has_permission(user_permissions, Permission.COMMENTS_DELETE.value) # Get top-level comments (parent_id IS NULL) with their authors and replies @@ -276,7 +276,7 @@ async def get_comments_for_messages_batch( """ Batch-fetch comments for multiple messages in a single DB round-trip. - Validates that all messages exist and belong to search spaces the user + Validates that all messages exist and belong to workspaces the user can read comments in, then loads all comments with eager-loaded authors and replies. """ @@ -293,15 +293,15 @@ async def get_comments_for_messages_batch( messages = result.scalars().all() msg_map = {m.id: m for m in messages} - search_space_ids = {m.thread.search_space_id for m in messages} + workspace_ids = {m.thread.workspace_id for m in messages} permissions_cache: dict[int, set] = {} - for ss_id in search_space_ids: + for ss_id in workspace_ids: await check_permission( session, auth, ss_id, Permission.COMMENTS_READ.value, - "You don't have permission to read comments in this search space", + "You don't have permission to read comments in this workspace", ) permissions_cache[ss_id] = await get_user_permissions(session, user.id, ss_id) @@ -338,7 +338,7 @@ async def get_comments_for_messages_batch( comments_by_message[mid] = CommentListResponse(comments=[], total_count=0) continue - ss_id = msg.thread.search_space_id + ss_id = msg.thread.workspace_id user_perms = permissions_cache.get(ss_id, set()) can_delete_any = has_permission(user_perms, Permission.COMMENTS_DELETE.value) @@ -447,14 +447,14 @@ async def create_comment( detail="Comments can only be added to AI responses", ) - search_space_id = message.thread.search_space_id + workspace_id = message.thread.workspace_id # Check permission to create comments - user_permissions = await get_user_permissions(session, user.id, search_space_id) + user_permissions = await get_user_permissions(session, user.id, workspace_id) if not has_permission(user_permissions, Permission.COMMENTS_CREATE.value): raise HTTPException( status_code=403, - detail="You don't have permission to create comments in this search space", + detail="You don't have permission to create comments in this workspace", ) thread = message.thread @@ -468,7 +468,7 @@ async def create_comment( await session.flush() # Process mentions - returns map of user_id -> mention_id - mentions_map = await process_mentions(session, comment.id, content, search_space_id) + mentions_map = await process_mentions(session, comment.id, content, workspace_id) await session.commit() await session.refresh(comment) @@ -495,7 +495,7 @@ async def create_comment( author_avatar_url=user.avatar_url, author_email=user.email, content_preview=content_preview[:200], - search_space_id=search_space_id, + workspace_id=workspace_id, ) author = AuthorResponse( @@ -561,14 +561,14 @@ async def create_reply( detail="Cannot reply to a reply", ) - search_space_id = parent_comment.message.thread.search_space_id + workspace_id = parent_comment.message.thread.workspace_id # Check permission to create comments - user_permissions = await get_user_permissions(session, user.id, search_space_id) + user_permissions = await get_user_permissions(session, user.id, workspace_id) if not has_permission(user_permissions, Permission.COMMENTS_CREATE.value): raise HTTPException( status_code=403, - detail="You don't have permission to create comments in this search space", + detail="You don't have permission to create comments in this workspace", ) thread = parent_comment.message.thread @@ -583,7 +583,7 @@ async def create_reply( await session.flush() # Process mentions - returns map of user_id -> mention_id - mentions_map = await process_mentions(session, reply.id, content, search_space_id) + mentions_map = await process_mentions(session, reply.id, content, workspace_id) await session.commit() await session.refresh(reply) @@ -610,7 +610,7 @@ async def create_reply( author_avatar_url=user.avatar_url, author_email=user.email, content_preview=content_preview[:200], - search_space_id=search_space_id, + workspace_id=workspace_id, ) # Notify thread participants (excluding replier and mentioned users) @@ -635,7 +635,7 @@ async def create_reply( author_avatar_url=user.avatar_url, author_email=user.email, content_preview=content_preview[:200], - search_space_id=search_space_id, + workspace_id=workspace_id, ) author = AuthorResponse( @@ -699,7 +699,7 @@ async def update_comment( detail="You can only edit your own comments", ) - search_space_id = comment.message.thread.search_space_id + workspace_id = comment.message.thread.workspace_id # Get existing mentioned user IDs existing_result = await session.execute( @@ -712,12 +712,12 @@ async def update_comment( # Parse new mentions from updated content new_mention_uuids = set(parse_mentions(content)) - # Validate new mentions are search space members + # Validate new mentions are workspace members if new_mention_uuids: valid_result = await session.execute( - select(SearchSpaceMembership.user_id).filter( - SearchSpaceMembership.search_space_id == search_space_id, - SearchSpaceMembership.user_id.in_(new_mention_uuids), + select(WorkspaceMembership.user_id).filter( + WorkspaceMembership.workspace_id == workspace_id, + WorkspaceMembership.user_id.in_(new_mention_uuids), ) ) valid_new_mentions = set(valid_result.scalars().all()) @@ -777,7 +777,7 @@ async def update_comment( author_avatar_url=user.avatar_url, author_email=user.email, content_preview=content_preview[:200], - search_space_id=search_space_id, + workspace_id=workspace_id, ) author = AuthorResponse( @@ -833,8 +833,8 @@ async def delete_comment( is_author = comment.author_id == user.id # Check if user has COMMENTS_DELETE permission - search_space_id = comment.message.thread.search_space_id - user_permissions = await get_user_permissions(session, user.id, search_space_id) + workspace_id = comment.message.thread.workspace_id + user_permissions = await get_user_permissions(session, user.id, workspace_id) can_delete_any = has_permission(user_permissions, Permission.COMMENTS_DELETE.value) if not is_author and not can_delete_any: @@ -852,21 +852,21 @@ async def delete_comment( async def get_user_mentions( session: AsyncSession, auth: AuthContext, - search_space_id: int | None = None, + workspace_id: int | None = None, ) -> MentionListResponse: user = auth.user """ - Get mentions for the current user, optionally filtered by search space. + Get mentions for the current user, optionally filtered by workspace. Args: session: Database session user: The current authenticated user - search_space_id: Optional search space ID to filter mentions + workspace_id: Optional workspace ID to filter mentions Returns: MentionListResponse with mentions and total count """ - # Build query with joins for filtering by search_space_id + # Build query with joins for filtering by workspace_id query = ( select(ChatCommentMention) .join(ChatComment, ChatCommentMention.comment_id == ChatComment.id) @@ -880,18 +880,18 @@ async def get_user_mentions( .order_by(ChatCommentMention.created_at.desc()) ) - if search_space_id is not None: - query = query.filter(NewChatThread.search_space_id == search_space_id) + if workspace_id is not None: + query = query.filter(NewChatThread.workspace_id == workspace_id) result = await session.execute(query) mention_records = result.scalars().all() - # Fetch search space info for context (single query for all unique search spaces) + # Fetch workspace info for context (single query for all unique workspaces) thread_ids = {m.comment.message.thread_id for m in mention_records} if thread_ids: thread_result = await session.execute( select(NewChatThread) - .options(selectinload(NewChatThread.search_space)) + .options(selectinload(NewChatThread.workspace)) .filter(NewChatThread.id.in_(thread_ids)) ) threads_map = {t.id: t for t in thread_result.scalars().all()} @@ -903,7 +903,7 @@ async def get_user_mentions( comment = mention.comment message = comment.message thread = threads_map.get(message.thread_id) - search_space = thread.search_space if thread else None + workspace = thread.workspace if thread else None author = None if comment.author: @@ -934,8 +934,8 @@ async def get_user_mentions( thread_id=thread.id if thread else 0, thread_title=thread.title or "Untitled" if thread else "Unknown", message_id=message.id, - search_space_id=search_space.id if search_space else 0, - search_space_name=search_space.name if search_space else "Unknown", + workspace_id=workspace.id if workspace else 0, + workspace_name=workspace.name if workspace else "Unknown", ), ) ) diff --git a/surfsense_backend/app/services/confluence/kb_sync_service.py b/surfsense_backend/app/services/confluence/kb_sync_service.py index 7154637b4..478ac8739 100644 --- a/surfsense_backend/app/services/confluence/kb_sync_service.py +++ b/surfsense_backend/app/services/confluence/kb_sync_service.py @@ -28,7 +28,7 @@ class ConfluenceKBSyncService: space_id: str, body_content: str | None, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -40,7 +40,7 @@ class ConfluenceKBSyncService: try: unique_hash = generate_unique_identifier_hash( - DocumentType.CONFLUENCE_CONNECTOR, page_id, search_space_id + DocumentType.CONFLUENCE_CONNECTOR, page_id, workspace_id ) existing = await check_document_by_unique_identifier( @@ -55,7 +55,7 @@ class ConfluenceKBSyncService: page_content = f"# {page_title}\n\n{indexable_content}" - content_hash = generate_content_hash(page_content, search_space_id) + content_hash = generate_content_hash(page_content, workspace_id) with self.db_session.no_autoflush: dup = await check_duplicate_document_by_hash( @@ -85,7 +85,7 @@ class ConfluenceKBSyncService: content_hash=content_hash, unique_identifier_hash=unique_hash, embedding=summary_embedding, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, updated_at=get_current_timestamp(), created_by_id=user_id, @@ -126,7 +126,7 @@ class ConfluenceKBSyncService: document_id: int, page_id: str, user_id: str, - search_space_id: int, + workspace_id: int, ) -> dict: from app.tasks.connector_indexers.base import ( get_current_timestamp, @@ -170,7 +170,7 @@ class ConfluenceKBSyncService: document.title = page_title document.content = summary_content - document.content_hash = generate_content_hash(page_content, search_space_id) + document.content_hash = generate_content_hash(page_content, workspace_id) document.embedding = summary_embedding from sqlalchemy.orm.attributes import flag_modified diff --git a/surfsense_backend/app/services/confluence/tool_metadata_service.py b/surfsense_backend/app/services/confluence/tool_metadata_service.py index a66725bc6..ac2447a1a 100644 --- a/surfsense_backend/app/services/confluence/tool_metadata_service.py +++ b/surfsense_backend/app/services/confluence/tool_metadata_service.py @@ -110,12 +110,12 @@ class ConfluenceToolMetadataService: ) return True - async def get_creation_context(self, search_space_id: int, user_id: str) -> dict: + async def get_creation_context(self, workspace_id: int, user_id: str) -> dict: """Return context needed to create a new Confluence page. Fetches all connected accounts, and for the first healthy one fetches spaces. """ - connectors = await self._get_all_confluence_connectors(search_space_id, user_id) + connectors = await self._get_all_confluence_connectors(workspace_id, user_id) if not connectors: return {"error": "No Confluence account connected"} @@ -158,13 +158,13 @@ class ConfluenceToolMetadataService: } async def get_update_context( - self, search_space_id: int, user_id: str, page_ref: str + self, workspace_id: int, user_id: str, page_ref: str ) -> dict: """Return context needed to update an indexed Confluence page. Resolves the page from KB, then fetches current content and version from API. """ - document = await self._resolve_page(search_space_id, user_id, page_ref) + document = await self._resolve_page(workspace_id, user_id, page_ref) if not document: return { "error": f"Page '{page_ref}' not found in your synced Confluence pages. " @@ -232,10 +232,10 @@ class ConfluenceToolMetadataService: } async def get_deletion_context( - self, search_space_id: int, user_id: str, page_ref: str + self, workspace_id: int, user_id: str, page_ref: str ) -> dict: """Return context needed to delete a Confluence page (KB metadata only).""" - document = await self._resolve_page(search_space_id, user_id, page_ref) + document = await self._resolve_page(workspace_id, user_id, page_ref) if not document: return { "error": f"Page '{page_ref}' not found in your synced Confluence pages. " @@ -256,7 +256,7 @@ class ConfluenceToolMetadataService: } async def _resolve_page( - self, search_space_id: int, user_id: str, page_ref: str + self, workspace_id: int, user_id: str, page_ref: str ) -> Document | None: """Resolve a page from KB: page_title -> document.title.""" ref_lower = page_ref.lower() @@ -268,7 +268,7 @@ class ConfluenceToolMetadataService: ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.CONFLUENCE_CONNECTOR, SearchSourceConnector.user_id == user_id, or_( @@ -284,12 +284,12 @@ class ConfluenceToolMetadataService: return result.scalars().first() async def _get_all_confluence_connectors( - self, search_space_id: int, user_id: str + self, workspace_id: int, user_id: str ) -> list[SearchSourceConnector]: result = await self._db_session.execute( select(SearchSourceConnector).filter( and_( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.CONFLUENCE_CONNECTOR, diff --git a/surfsense_backend/app/services/connector_service.py b/surfsense_backend/app/services/connector_service.py index 2694a8e69..7c3f0543d 100644 --- a/surfsense_backend/app/services/connector_service.py +++ b/surfsense_backend/app/services/connector_service.py @@ -4,12 +4,9 @@ from datetime import datetime from threading import Lock from typing import Any -import httpx -from linkup import LinkupClient from sqlalchemy import func from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.future import select -from tavily import TavilyClient from app.config import config from app.db import ( @@ -26,11 +23,11 @@ from app.utils.perf import get_perf_logger class ConnectorService: - def __init__(self, session: AsyncSession, search_space_id: int | None = None): + def __init__(self, session: AsyncSession, workspace_id: int | None = None): self.session = session self.chunk_retriever = ChucksHybridSearchRetriever(session) self.document_retriever = DocumentHybridSearchRetriever(session) - self.search_space_id = search_space_id + self.workspace_id = workspace_id self.source_id_counter = ( 100000 # High starting value to avoid collisions with existing IDs ) @@ -40,122 +37,32 @@ class ConnectorService: async def initialize_counter(self): """ - Initialize the source_id_counter based on the total number of chunks for the search space. + Initialize the source_id_counter based on the total number of chunks for the workspace. This ensures unique IDs across different sessions. """ - if self.search_space_id: + if self.workspace_id: try: - # Count total chunks for documents belonging to this search space + # Count total chunks for documents belonging to this workspace result = await self.session.execute( select(func.count(Chunk.id)) .join(Document) - .filter(Document.search_space_id == self.search_space_id) + .filter(Document.workspace_id == self.workspace_id) ) chunk_count = result.scalar() or 0 self.source_id_counter = chunk_count + 1 print( - f"Initialized source_id_counter to {self.source_id_counter} for search space {self.search_space_id}" + f"Initialized source_id_counter to {self.source_id_counter} for workspace {self.workspace_id}" ) except Exception as e: print(f"Error initializing source_id_counter: {e!s}") # Fallback to default value self.source_id_counter = 1 - async def search_crawled_urls( - self, - user_query: str, - search_space_id: int, - top_k: int = 20, - start_date: datetime | None = None, - end_date: datetime | None = None, - ) -> tuple: - """ - Search for crawled URLs and return both the source information and langchain documents. - - Uses combined chunk-level and document-level hybrid search with RRF fusion. - - Args: - user_query: The user's query - search_space_id: The search space ID to search in - top_k: Maximum number of results to return - start_date: Optional start date for filtering documents by updated_at - end_date: Optional end date for filtering documents by updated_at - - Returns: - tuple: (sources_info, langchain_documents) - """ - crawled_urls_docs = await self._combined_rrf_search( - query_text=user_query, - search_space_id=search_space_id, - document_type="CRAWLED_URL", - top_k=top_k, - start_date=start_date, - end_date=end_date, - ) - - # Early return if no results - if not crawled_urls_docs: - return { - "id": 1, - "name": "Crawled URLs", - "type": "CRAWLED_URL", - "sources": [], - }, [] - - def _title_fn(doc_info: dict[str, Any], metadata: dict[str, Any]) -> str: - return doc_info.get("title") or metadata.get("title") or "Untitled Document" - - def _url_fn(_doc_info: dict[str, Any], metadata: dict[str, Any]) -> str: - return metadata.get("source") or metadata.get("url") or "" - - def _description_fn( - chunk: dict[str, Any], _doc_info: dict[str, Any], metadata: dict[str, Any] - ) -> str: - description = metadata.get("description") or self._chunk_preview( - chunk.get("content", "") - ) - info_parts = [] - language = metadata.get("language", "") - last_crawled_at = metadata.get("last_crawled_at", "") - if language: - info_parts.append(f"Language: {language}") - if last_crawled_at: - info_parts.append(f"Last crawled: {last_crawled_at}") - if info_parts: - description = (description + " | " + " | ".join(info_parts)).strip(" |") - return description - - def _extra_fields_fn( - _chunk: dict[str, Any], _doc_info: dict[str, Any], metadata: dict[str, Any] - ) -> dict[str, Any]: - return { - "language": metadata.get("language", ""), - "last_crawled_at": metadata.get("last_crawled_at", ""), - } - - sources_list = self._build_chunk_sources_from_documents( - crawled_urls_docs, - title_fn=_title_fn, - description_fn=_description_fn, - url_fn=_url_fn, - extra_fields_fn=_extra_fields_fn, - ) - - # Create result object - result_object = { - "id": 1, - "name": "Crawled URLs", - "type": "CRAWLED_URL", - "sources": sources_list, - } - - return result_object, crawled_urls_docs - async def search_files( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -167,7 +74,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -177,7 +84,7 @@ class ConnectorService: """ files_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="FILE", top_k=top_k, start_date=start_date, @@ -221,7 +128,7 @@ class ConnectorService: async def _combined_rrf_search( self, query_text: str, - search_space_id: int, + workspace_id: int, document_type: str | list[str], top_k: int = 20, start_date: datetime | None = None, @@ -243,7 +150,7 @@ class ConnectorService: Args: query_text: The search query text - search_space_id: The search space ID to search within + workspace_id: The workspace ID to search within document_type: Document type(s) to filter (e.g., "FILE", "CRAWLED_URL", or a list for multi-type queries) top_k: Number of results to return @@ -289,7 +196,7 @@ class ConnectorService: search_kwargs = { "query_text": query_text, "top_k": retriever_top_k, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "document_type": resolved_type, "start_date": start_date, "end_date": end_date, @@ -388,7 +295,7 @@ class ConnectorService: time.perf_counter() - t0, len(combined_results), document_type, - search_space_id, + workspace_id, ) return combined_results @@ -458,387 +365,30 @@ class ConnectorService: async def get_connector_by_type( self, connector_type: SearchSourceConnectorType, - search_space_id: int, + workspace_id: int, ) -> SearchSourceConnector | None: """ - Get a connector by type for a specific search space + Get a connector by type for a specific workspace Args: connector_type: The connector type to retrieve - search_space_id: The search space ID to filter by + workspace_id: The workspace ID to filter by Returns: Optional[SearchSourceConnector]: The connector if found, None otherwise """ query = select(SearchSourceConnector).filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.connector_type == connector_type, ) result = await self.session.execute(query) return result.scalars().first() - async def search_tavily( - self, user_query: str, search_space_id: int, top_k: int = 20 - ) -> tuple: - """ - Search using Tavily API and return both the source information and documents - - Args: - user_query: The user's query - search_space_id: The search space ID - top_k: Maximum number of results to return - - Returns: - tuple: (sources_info, documents) - """ - # Get Tavily connector configuration - tavily_connector = await self.get_connector_by_type( - SearchSourceConnectorType.TAVILY_API, search_space_id - ) - - if not tavily_connector: - # Return empty results if no Tavily connector is configured - return { - "id": 3, - "name": "Tavily Search", - "type": "TAVILY_API", - "sources": [], - }, [] - - # Initialize Tavily client with API key from connector config - tavily_api_key = tavily_connector.config.get("TAVILY_API_KEY") - tavily_client = TavilyClient(api_key=tavily_api_key) - - # Perform search with Tavily - try: - response = tavily_client.search( - query=user_query, - max_results=top_k, - search_depth="advanced", # Use advanced search for better results - ) - - # Extract results from Tavily response - tavily_results = response.get("results", []) - - # Early return if no results - if not tavily_results: - return { - "id": 3, - "name": "Tavily Search", - "type": "TAVILY_API", - "sources": [], - }, [] - - # Process each result and create sources directly without deduplication - sources_list = [] - documents = [] - - async with self.counter_lock: - for _i, result in enumerate(tavily_results): - # Create a source entry - source = { - "id": self.source_id_counter, - "title": result.get("title", "Tavily Result"), - "description": result.get("content", ""), - "url": result.get("url", ""), - } - sources_list.append(source) - - # Create a document entry - document = { - "chunk_id": self.source_id_counter, - "content": result.get("content", ""), - "score": result.get("score", 0.0), - "document": { - "id": self.source_id_counter, - "title": result.get("title", "Tavily Result"), - "document_type": "TAVILY_API", - "metadata": { - "url": result.get("url", ""), - "published_date": result.get("published_date", ""), - "source": "TAVILY_API", - }, - }, - } - documents.append(document) - self.source_id_counter += 1 - - # Create result object - result_object = { - "id": 3, - "name": "Tavily Search", - "type": "TAVILY_API", - "sources": sources_list, - } - - return result_object, documents - - except Exception as e: - # Log the error and return empty results - print(f"Error searching with Tavily: {e!s}") - return { - "id": 3, - "name": "Tavily Search", - "type": "TAVILY_API", - "sources": [], - }, [] - - async def search_searxng( - self, - user_query: str, - search_space_id: int, - top_k: int = 20, - ) -> tuple: - """Search using the platform SearXNG instance. - - Delegates to ``WebSearchService`` which handles caching, circuit - breaking, and retries. SearXNG configuration comes from the - docker/searxng/settings.yml file. - """ - from app.services import web_search_service - - if not web_search_service.is_available(): - return { - "id": 11, - "name": "Web Search", - "type": "SEARXNG_API", - "sources": [], - }, [] - - return await web_search_service.search( - query=user_query, - top_k=top_k, - ) - - async def search_baidu( - self, - user_query: str, - search_space_id: int, - top_k: int = 20, - ) -> tuple: - """ - Search using Baidu AI Search API and return both sources and documents. - - Baidu AI Search provides intelligent search with automatic summarization. - We extract the raw search results (references) from the API response. - - Args: - user_query: User's search query - search_space_id: Search space ID - top_k: Maximum number of results to return - - Returns: - tuple: (sources_info_dict, documents_list) - """ - # Get Baidu connector configuration - baidu_connector = await self.get_connector_by_type( - SearchSourceConnectorType.BAIDU_SEARCH_API, search_space_id - ) - - if not baidu_connector: - return { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": [], - }, [] - - config = baidu_connector.config or {} - api_key = config.get("BAIDU_API_KEY") - - if not api_key: - print("ERROR: Baidu connector is missing BAIDU_API_KEY configuration") - print(f"Connector config: {config}") - return { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": [], - }, [] - - # Optional configuration parameters - model = config.get("BAIDU_MODEL", "ernie-3.5-8k") - search_source = config.get("BAIDU_SEARCH_SOURCE", "baidu_search_v2") - enable_deep_search = config.get("BAIDU_ENABLE_DEEP_SEARCH", False) - - # Baidu AI Search API endpoint - baidu_endpoint = "https://qianfan.baidubce.com/v2/ai_search/chat/completions" - - # Prepare request headers - # Note: Baidu uses X-Appbuilder-Authorization instead of standard Authorization header - headers = { - "X-Appbuilder-Authorization": f"Bearer {api_key}", - "Content-Type": "application/json", - } - - # Prepare request payload - # Calculate resource_type_filter top_k values - # Baidu v2 supports max 20 per type - max_per_type = min(top_k, 20) - - payload = { - "messages": [{"role": "user", "content": user_query}], - "model": model, - "search_source": search_source, - "resource_type_filter": [ - {"type": "web", "top_k": max_per_type}, - {"type": "video", "top_k": max(1, max_per_type // 4)}, # Fewer videos - ], - "stream": False, # Non-streaming for simpler processing - "enable_deep_search": enable_deep_search, - "enable_corner_markers": True, # Enable reference markers - } - - try: - # Baidu AI Search may take longer as it performs search + summarization - # Increase timeout to 90 seconds - async with httpx.AsyncClient(timeout=90.0) as client: - response = await client.post( - baidu_endpoint, - headers=headers, - json=payload, - ) - response.raise_for_status() - except httpx.TimeoutException as exc: - print(f"ERROR: Baidu API request timeout after 90s: {exc!r}") - print(f"Endpoint: {baidu_endpoint}") - return { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": [], - }, [] - except httpx.HTTPStatusError as exc: - print(f"ERROR: Baidu API HTTP Status Error: {exc.response.status_code}") - print(f"Response text: {exc.response.text[:500]}") - print(f"Request URL: {exc.request.url}") - return { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": [], - }, [] - except httpx.RequestError as exc: - print(f"ERROR: Baidu API Request Error: {type(exc).__name__}: {exc!r}") - print(f"Endpoint: {baidu_endpoint}") - return { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": [], - }, [] - except Exception as exc: - print( - f"ERROR: Unexpected error calling Baidu API: {type(exc).__name__}: {exc!r}" - ) - print(f"Endpoint: {baidu_endpoint}") - print(f"Payload: {payload}") - return { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": [], - }, [] - - try: - data = response.json() - except ValueError as e: - print(f"ERROR: Failed to decode JSON response from Baidu AI Search: {e}") - print(f"Response status: {response.status_code}") - print(f"Response text: {response.text[:500]}") # First 500 chars - return { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": [], - }, [] - - # Extract references (search results) from the response - baidu_references = data.get("references", []) - - if "code" in data or "message" in data: - print( - f"WARNING: Baidu API returned error - Code: {data.get('code')}, Message: {data.get('message')}" - ) - - if not baidu_references: - print("WARNING: No references found in Baidu API response") - print(f"Response keys: {list(data.keys())}") - return { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": [], - }, [] - - sources_list: list[dict[str, Any]] = [] - documents: list[dict[str, Any]] = [] - - async with self.counter_lock: - for reference in baidu_references: - # Extract basic fields - title = reference.get("title", "Baidu Search Result") - url = reference.get("url", "") - content = reference.get("content", "") - date = reference.get("date", "") - ref_type = reference.get("type", "web") # web, image, video - - # Create a source entry - source = { - "id": self.source_id_counter, - "title": title, - "description": content[:300] - if content - else "", # Limit description length - "url": url, - } - sources_list.append(source) - - # Prepare metadata - metadata = { - "url": url, - "date": date, - "type": ref_type, - "source": "BAIDU_SEARCH_API", - "web_anchor": reference.get("web_anchor", ""), - "website": reference.get("website", ""), - } - - # Add type-specific metadata - if ref_type == "image" and reference.get("image"): - metadata["image"] = reference["image"] - elif ref_type == "video" and reference.get("video"): - metadata["video"] = reference["video"] - - # Create a document entry - document = { - "chunk_id": self.source_id_counter, - "content": content, - "score": 1.0, # Baidu doesn't provide relevance scores - "document": { - "id": self.source_id_counter, - "title": title, - "document_type": "BAIDU_SEARCH_API", - "metadata": metadata, - }, - } - documents.append(document) - self.source_id_counter += 1 - - result_object = { - "id": 12, - "name": "Baidu Search", - "type": "BAIDU_SEARCH_API", - "sources": sources_list, - } - - return result_object, documents - async def search_slack( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -850,7 +400,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -860,7 +410,7 @@ class ConnectorService: """ slack_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="SLACK_CONNECTOR", top_k=top_k, start_date=start_date, @@ -912,7 +462,7 @@ class ConnectorService: async def search_notion( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -924,7 +474,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -934,7 +484,7 @@ class ConnectorService: """ notion_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="NOTION_CONNECTOR", top_k=top_k, start_date=start_date, @@ -982,7 +532,7 @@ class ConnectorService: async def search_extension( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -994,7 +544,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1004,7 +554,7 @@ class ConnectorService: """ extension_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="EXTENSION", top_k=top_k, start_date=start_date, @@ -1079,7 +629,7 @@ class ConnectorService: async def search_youtube( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1091,7 +641,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1101,7 +651,7 @@ class ConnectorService: """ youtube_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="YOUTUBE_VIDEO", top_k=top_k, start_date=start_date, @@ -1160,7 +710,7 @@ class ConnectorService: async def search_github( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1172,7 +722,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1182,7 +732,7 @@ class ConnectorService: """ github_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="GITHUB_CONNECTOR", top_k=top_k, start_date=start_date, @@ -1219,7 +769,7 @@ class ConnectorService: async def search_linear( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1231,7 +781,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1241,7 +791,7 @@ class ConnectorService: """ linear_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="LINEAR_CONNECTOR", top_k=top_k, start_date=start_date, @@ -1319,7 +869,7 @@ class ConnectorService: async def search_jira( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1331,7 +881,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1341,7 +891,7 @@ class ConnectorService: """ jira_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="JIRA_CONNECTOR", top_k=top_k, start_date=start_date, @@ -1421,7 +971,7 @@ class ConnectorService: async def search_google_calendar( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1433,7 +983,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1443,7 +993,7 @@ class ConnectorService: """ calendar_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="GOOGLE_CALENDAR_CONNECTOR", top_k=top_k, start_date=start_date, @@ -1527,7 +1077,7 @@ class ConnectorService: async def search_airtable( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1539,7 +1089,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1549,7 +1099,7 @@ class ConnectorService: """ airtable_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="AIRTABLE_CONNECTOR", top_k=top_k, start_date=start_date, @@ -1603,7 +1153,7 @@ class ConnectorService: async def search_google_gmail( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1615,7 +1165,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1625,7 +1175,7 @@ class ConnectorService: """ gmail_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="GOOGLE_GMAIL_CONNECTOR", top_k=top_k, start_date=start_date, @@ -1703,7 +1253,7 @@ class ConnectorService: async def search_google_drive( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1715,7 +1265,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1725,7 +1275,7 @@ class ConnectorService: """ drive_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="GOOGLE_DRIVE_FILE", top_k=top_k, start_date=start_date, @@ -1803,7 +1353,7 @@ class ConnectorService: async def search_confluence( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1815,7 +1365,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1825,7 +1375,7 @@ class ConnectorService: """ confluence_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="CONFLUENCE_CONNECTOR", top_k=top_k, start_date=start_date, @@ -1874,7 +1424,7 @@ class ConnectorService: async def search_clickup( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -1886,7 +1436,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -1896,7 +1446,7 @@ class ConnectorService: """ clickup_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="CLICKUP_CONNECTOR", top_k=top_k, start_date=start_date, @@ -1965,131 +1515,10 @@ class ConnectorService: return result_object, clickup_docs - async def search_linkup( - self, - user_query: str, - search_space_id: int, - mode: str = "standard", - ) -> tuple: - """ - Search using Linkup API and return both the source information and documents - - Args: - user_query: The user's query - search_space_id: The search space ID - mode: Search depth mode, can be "standard" or "deep" - - Returns: - tuple: (sources_info, documents) - """ - # Get Linkup connector configuration - linkup_connector = await self.get_connector_by_type( - SearchSourceConnectorType.LINKUP_API, search_space_id - ) - - if not linkup_connector: - # Return empty results if no Linkup connector is configured - return { - "id": 10, - "name": "Linkup Search", - "type": "LINKUP_API", - "sources": [], - }, [] - - # Initialize Linkup client with API key from connector config - linkup_api_key = linkup_connector.config.get("LINKUP_API_KEY") - linkup_client = LinkupClient(api_key=linkup_api_key) - - # Perform search with Linkup - try: - response = linkup_client.search( - query=user_query, - depth=mode, # Use the provided mode ("standard" or "deep") - output_type="searchResults", # Default to search results - ) - - # Extract results from Linkup response - access as attribute instead of using .get() - linkup_results = response.results if hasattr(response, "results") else [] - - # Only proceed if we have results - if not linkup_results: - return { - "id": 10, - "name": "Linkup Search", - "type": "LINKUP_API", - "sources": [], - }, [] - - # Process each result and create sources directly without deduplication - sources_list = [] - documents = [] - - async with self.counter_lock: - for _i, result in enumerate(linkup_results): - # Only process results that have content - if not hasattr(result, "content") or not result.content: - continue - - # Create a source entry - source = { - "id": self.source_id_counter, - "title": ( - result.name if hasattr(result, "name") else "Linkup Result" - ), - "description": ( - result.content if hasattr(result, "content") else "" - ), - "url": result.url if hasattr(result, "url") else "", - } - sources_list.append(source) - - # Create a document entry - document = { - "chunk_id": self.source_id_counter, - "content": result.content if hasattr(result, "content") else "", - "score": 1.0, # Default score since not provided by Linkup - "document": { - "id": self.source_id_counter, - "title": ( - result.name - if hasattr(result, "name") - else "Linkup Result" - ), - "document_type": "LINKUP_API", - "metadata": { - "url": result.url if hasattr(result, "url") else "", - "type": result.type if hasattr(result, "type") else "", - "source": "LINKUP_API", - }, - }, - } - documents.append(document) - self.source_id_counter += 1 - - # Create result object - result_object = { - "id": 10, - "name": "Linkup Search", - "type": "LINKUP_API", - "sources": sources_list, - } - - return result_object, documents - - except Exception as e: - # Log the error and return empty results - print(f"Error searching with Linkup: {e!s}") - return { - "id": 10, - "name": "Linkup Search", - "type": "LINKUP_API", - "sources": [], - }, [] - async def search_discord( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -2101,7 +1530,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -2111,7 +1540,7 @@ class ConnectorService: """ discord_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="DISCORD_CONNECTOR", top_k=top_k, start_date=start_date, @@ -2164,7 +1593,7 @@ class ConnectorService: async def search_teams( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -2176,7 +1605,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -2186,7 +1615,7 @@ class ConnectorService: """ teams_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="TEAMS_CONNECTOR", top_k=top_k, start_date=start_date, @@ -2238,7 +1667,7 @@ class ConnectorService: async def search_luma( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -2250,7 +1679,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -2260,7 +1689,7 @@ class ConnectorService: """ luma_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="LUMA_CONNECTOR", top_k=top_k, start_date=start_date, @@ -2343,7 +1772,7 @@ class ConnectorService: async def search_elasticsearch( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -2355,7 +1784,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -2365,7 +1794,7 @@ class ConnectorService: """ elasticsearch_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="ELASTICSEARCH_CONNECTOR", top_k=top_k, start_date=start_date, @@ -2429,7 +1858,7 @@ class ConnectorService: async def search_notes( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -2441,7 +1870,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -2451,7 +1880,7 @@ class ConnectorService: """ notes_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="NOTE", top_k=top_k, start_date=start_date, @@ -2498,7 +1927,7 @@ class ConnectorService: async def search_bookstack( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -2511,7 +1940,7 @@ class ConnectorService: Args: user_query: The user's query user_id: The user's ID - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -2521,7 +1950,7 @@ class ConnectorService: """ bookstack_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="BOOKSTACK_CONNECTOR", top_k=top_k, start_date=start_date, @@ -2572,7 +2001,7 @@ class ConnectorService: async def search_circleback( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -2584,7 +2013,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -2594,7 +2023,7 @@ class ConnectorService: """ circleback_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="CIRCLEBACK", top_k=top_k, start_date=start_date, @@ -2672,7 +2101,7 @@ class ConnectorService: async def search_obsidian( self, user_query: str, - search_space_id: int, + workspace_id: int, top_k: int = 20, start_date: datetime | None = None, end_date: datetime | None = None, @@ -2684,7 +2113,7 @@ class ConnectorService: Args: user_query: The user's query - search_space_id: The search space ID to search in + workspace_id: The workspace ID to search in top_k: Maximum number of results to return start_date: Optional start date for filtering documents by updated_at end_date: Optional end date for filtering documents by updated_at @@ -2694,7 +2123,7 @@ class ConnectorService: """ obsidian_docs = await self._combined_rrf_search( query_text=user_query, - search_space_id=search_space_id, + workspace_id=workspace_id, document_type="OBSIDIAN_CONNECTOR", top_k=top_k, start_date=start_date, @@ -2766,60 +2195,60 @@ class ConnectorService: async def get_available_connectors( self, - search_space_id: int, + workspace_id: int, ) -> list[SearchSourceConnectorType]: """ - Get all available (enabled) connector types for a search space. + Get all available (enabled) connector types for a workspace. - Phase 1.4: results are cached per ``search_space_id`` for + Phase 1.4: results are cached per ``workspace_id`` for :data:`_DISCOVERY_TTL_SECONDS`. Cache key is independent of session identity — the cached value is plain data, safe to share across requests. Invalidate on connector add/update/delete via :func:`invalidate_connector_discovery_cache`. Args: - search_space_id: The search space ID + workspace_id: The workspace ID Returns: List of SearchSourceConnectorType enums for enabled connectors """ - cached = _get_cached_connectors(search_space_id) + cached = _get_cached_connectors(workspace_id) if cached is not None: return list(cached) query = ( select(SearchSourceConnector.connector_type) .filter( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, ) .distinct() ) result = await self.session.execute(query) connector_types = list(result.scalars().all()) - _set_cached_connectors(search_space_id, connector_types) + _set_cached_connectors(workspace_id, connector_types) return connector_types async def get_available_document_types( self, - search_space_id: int, + workspace_id: int, ) -> list[str]: """ - Get all document types that have at least one document in the search space. + Get all document types that have at least one document in the workspace. - Phase 1.4: cached per ``search_space_id`` for + Phase 1.4: cached per ``workspace_id`` for :data:`_DISCOVERY_TTL_SECONDS`. Invalidate via :func:`invalidate_connector_discovery_cache` when a connector finishes indexing new documents (or document types are otherwise added/removed). Args: - search_space_id: The search space ID + workspace_id: The workspace ID Returns: List of document type strings that have documents indexed """ - cached = _get_cached_doc_types(search_space_id) + cached = _get_cached_doc_types(workspace_id) if cached is not None: return list(cached) @@ -2828,12 +2257,12 @@ class ConnectorService: from app.db import Document query = select(distinct(Document.document_type)).filter( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, ) result = await self.session.execute(query) doc_types = [str(dt) for dt in result.scalars().all()] - _set_cached_doc_types(search_space_id, doc_types) + _set_cached_doc_types(workspace_id, doc_types) return doc_types @@ -2850,7 +2279,7 @@ class ConnectorService: # DB roundtrip with bounded staleness. # # Invalidation: connector mutation routes (create / update / delete) call -# ``invalidate_connector_discovery_cache(search_space_id)`` to clear the +# ``invalidate_connector_discovery_cache(workspace_id)`` to clear the # entry for the affected space. Multi-replica deployments still pay one # DB roundtrip per replica per TTL window, which is fine — staleness is # bounded and the alternative (cross-replica fanout) is not worth the @@ -2858,7 +2287,7 @@ class ConnectorService: _DISCOVERY_TTL_SECONDS: float = config.CONNECTOR_DISCOVERY_TTL_SECONDS -# Per-search-space caches. Keyed by ``search_space_id``; value is +# Per-workspace caches. Keyed by ``workspace_id``; value is # ``(expires_at_monotonic, payload)``. Plain dicts protected by a lock — # read-mostly workload, sub-microsecond contention. _connectors_cache: dict[int, tuple[float, list[SearchSourceConnectorType]]] = {} @@ -2867,55 +2296,55 @@ _cache_lock = Lock() def _get_cached_connectors( - search_space_id: int, + workspace_id: int, ) -> list[SearchSourceConnectorType] | None: if _DISCOVERY_TTL_SECONDS <= 0: return None with _cache_lock: - entry = _connectors_cache.get(search_space_id) + entry = _connectors_cache.get(workspace_id) if entry is None: return None expires_at, payload = entry if time.monotonic() >= expires_at: - _connectors_cache.pop(search_space_id, None) + _connectors_cache.pop(workspace_id, None) return None return payload def _set_cached_connectors( - search_space_id: int, payload: list[SearchSourceConnectorType] + workspace_id: int, payload: list[SearchSourceConnectorType] ) -> None: if _DISCOVERY_TTL_SECONDS <= 0: return expires_at = time.monotonic() + _DISCOVERY_TTL_SECONDS with _cache_lock: - _connectors_cache[search_space_id] = (expires_at, list(payload)) + _connectors_cache[workspace_id] = (expires_at, list(payload)) -def _get_cached_doc_types(search_space_id: int) -> list[str] | None: +def _get_cached_doc_types(workspace_id: int) -> list[str] | None: if _DISCOVERY_TTL_SECONDS <= 0: return None with _cache_lock: - entry = _doc_types_cache.get(search_space_id) + entry = _doc_types_cache.get(workspace_id) if entry is None: return None expires_at, payload = entry if time.monotonic() >= expires_at: - _doc_types_cache.pop(search_space_id, None) + _doc_types_cache.pop(workspace_id, None) return None return payload -def _set_cached_doc_types(search_space_id: int, payload: list[str]) -> None: +def _set_cached_doc_types(workspace_id: int, payload: list[str]) -> None: if _DISCOVERY_TTL_SECONDS <= 0: return expires_at = time.monotonic() + _DISCOVERY_TTL_SECONDS with _cache_lock: - _doc_types_cache[search_space_id] = (expires_at, list(payload)) + _doc_types_cache[workspace_id] = (expires_at, list(payload)) -def invalidate_connector_discovery_cache(search_space_id: int | None = None) -> None: - """Drop cached discovery results for ``search_space_id`` (or all spaces). +def invalidate_connector_discovery_cache(workspace_id: int | None = None) -> None: + """Drop cached discovery results for ``workspace_id`` (or all spaces). Connector CRUD routes / indexer pipelines call this when they mutate the rows backing :func:`ConnectorService.get_available_connectors` / @@ -2923,28 +2352,28 @@ def invalidate_connector_discovery_cache(search_space_id: int | None = None) -> useful in tests and on bulk imports. """ with _cache_lock: - if search_space_id is None: + if workspace_id is None: _connectors_cache.clear() _doc_types_cache.clear() else: - _connectors_cache.pop(search_space_id, None) - _doc_types_cache.pop(search_space_id, None) + _connectors_cache.pop(workspace_id, None) + _doc_types_cache.pop(workspace_id, None) -def _invalidate_connectors_only(search_space_id: int | None = None) -> None: +def _invalidate_connectors_only(workspace_id: int | None = None) -> None: with _cache_lock: - if search_space_id is None: + if workspace_id is None: _connectors_cache.clear() else: - _connectors_cache.pop(search_space_id, None) + _connectors_cache.pop(workspace_id, None) -def _invalidate_doc_types_only(search_space_id: int | None = None) -> None: +def _invalidate_doc_types_only(workspace_id: int | None = None) -> None: with _cache_lock: - if search_space_id is None: + if workspace_id is None: _doc_types_cache.clear() else: - _doc_types_cache.pop(search_space_id, None) + _doc_types_cache.pop(workspace_id, None) def _register_invalidation_listeners() -> None: @@ -2952,7 +2381,7 @@ def _register_invalidation_listeners() -> None: Listening on ``after_insert`` / ``after_update`` / ``after_delete`` means every successful INSERT/UPDATE/DELETE that goes through the ORM - invalidates the affected search space's cached discovery payload — + invalidates the affected workspace's cached discovery payload — no need to sprinkle ``invalidate_*`` calls across 30+ connector routes. Bulk operations that bypass the ORM (e.g. ``session.execute(insert(...))`` without a mapped object) still need @@ -2967,12 +2396,12 @@ def _register_invalidation_listeners() -> None: from app.db import Document, SearchSourceConnector def _connector_changed(_mapper, _connection, target) -> None: - sid = getattr(target, "search_space_id", None) + sid = getattr(target, "workspace_id", None) if sid is not None: _invalidate_connectors_only(int(sid)) def _document_changed(_mapper, _connection, target) -> None: - sid = getattr(target, "search_space_id", None) + sid = getattr(target, "workspace_id", None) if sid is not None: _invalidate_doc_types_only(int(sid)) diff --git a/surfsense_backend/app/services/dropbox/kb_sync_service.py b/surfsense_backend/app/services/dropbox/kb_sync_service.py index a25cc054d..92ad68a79 100644 --- a/surfsense_backend/app/services/dropbox/kb_sync_service.py +++ b/surfsense_backend/app/services/dropbox/kb_sync_service.py @@ -26,7 +26,7 @@ class DropboxKBSyncService: web_url: str | None, content: str | None, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -38,7 +38,7 @@ class DropboxKBSyncService: try: unique_hash = compute_identifier_hash( - DocumentType.DROPBOX_FILE.value, file_id, search_space_id + DocumentType.DROPBOX_FILE.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier( @@ -56,7 +56,7 @@ class DropboxKBSyncService: if not indexable_content: indexable_content = f"Dropbox file: {file_name}" - content_hash = generate_content_hash(indexable_content, search_space_id) + content_hash = generate_content_hash(indexable_content, workspace_id) with self.db_session.no_autoflush: dup = await check_duplicate_document_by_hash( @@ -93,7 +93,7 @@ class DropboxKBSyncService: content_hash=content_hash, unique_identifier_hash=unique_hash, embedding=summary_embedding, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, source_markdown=content, updated_at=get_current_timestamp(), diff --git a/surfsense_backend/app/services/export_service.py b/surfsense_backend/app/services/export_service.py index 9e6869fe1..2d1a8c2cf 100644 --- a/surfsense_backend/app/services/export_service.py +++ b/surfsense_backend/app/services/export_service.py @@ -81,7 +81,7 @@ class ExportResult: async def build_export_zip( session: AsyncSession, - search_space_id: int, + workspace_id: int, folder_id: int | None = None, ) -> ExportResult: """Build a ZIP archive of markdown documents preserving folder structure. @@ -93,13 +93,13 @@ async def build_export_zip( """ if folder_id is not None: folder = await session.get(Folder, folder_id) - if not folder or folder.search_space_id != search_space_id: + if not folder or folder.workspace_id != workspace_id: raise ValueError("Folder not found") target_folder_ids = set(await get_folder_subtree_ids(session, folder_id)) else: target_folder_ids = None - folder_query = select(Folder).where(Folder.search_space_id == search_space_id) + folder_query = select(Folder).where(Folder.workspace_id == workspace_id) if target_folder_ids is not None: folder_query = folder_query.where(Folder.id.in_(target_folder_ids)) folder_result = await session.execute(folder_query) @@ -109,7 +109,7 @@ async def build_export_zip( batch_size = 100 - base_doc_query = select(Document).where(Document.search_space_id == search_space_id) + base_doc_query = select(Document).where(Document.workspace_id == workspace_id) if target_folder_ids is not None: base_doc_query = base_doc_query.where(Document.folder_id.in_(target_folder_ids)) base_doc_query = base_doc_query.order_by(Document.id) diff --git a/surfsense_backend/app/services/folder_service.py b/surfsense_backend/app/services/folder_service.py index f5b608600..c34d0132c 100644 --- a/surfsense_backend/app/services/folder_service.py +++ b/surfsense_backend/app/services/folder_service.py @@ -111,7 +111,7 @@ async def check_no_circular_reference( async def generate_folder_position( session: AsyncSession, - search_space_id: int, + workspace_id: int, parent_id: int | None, before_position: str | None = None, after_position: str | None = None, @@ -129,7 +129,7 @@ async def generate_folder_position( query = ( select(Folder.position) .where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.parent_id == parent_id if parent_id is not None else Folder.parent_id.is_(None), @@ -144,7 +144,7 @@ async def generate_folder_position( async def ensure_folder_hierarchy_with_depth_validation( session: AsyncSession, - search_space_id: int, + workspace_id: int, path_segments: list[dict], ) -> Folder: """Create or return a nested folder chain, validating depth at each step. @@ -163,7 +163,7 @@ async def ensure_folder_hierarchy_with_depth_validation( metadata = segment.get("metadata") stmt = select(Folder).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.name == name, Folder.parent_id == parent_id if parent_id is not None @@ -174,12 +174,10 @@ async def ensure_folder_hierarchy_with_depth_validation( if folder is None: await validate_folder_depth(session, parent_id, subtree_depth=0) - position = await generate_folder_position( - session, search_space_id, parent_id - ) + position = await generate_folder_position(session, workspace_id, parent_id) folder = Folder( name=name, - search_space_id=search_space_id, + workspace_id=workspace_id, parent_id=parent_id, position=position, folder_metadata=metadata, diff --git a/surfsense_backend/app/services/gmail/kb_sync_service.py b/surfsense_backend/app/services/gmail/kb_sync_service.py index 192570339..5cb640ddb 100644 --- a/surfsense_backend/app/services/gmail/kb_sync_service.py +++ b/surfsense_backend/app/services/gmail/kb_sync_service.py @@ -28,7 +28,7 @@ class GmailKBSyncService: date_str: str, body_text: str | None, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, draft_id: str | None = None, ) -> dict: @@ -41,7 +41,7 @@ class GmailKBSyncService: try: unique_hash = generate_unique_identifier_hash( - DocumentType.GOOGLE_GMAIL_CONNECTOR, message_id, search_space_id + DocumentType.GOOGLE_GMAIL_CONNECTOR, message_id, workspace_id ) existing = await check_document_by_unique_identifier( @@ -62,7 +62,7 @@ class GmailKBSyncService: if not indexable_content: indexable_content = f"Gmail message: {subject}" - content_hash = generate_content_hash(indexable_content, search_space_id) + content_hash = generate_content_hash(indexable_content, workspace_id) with self.db_session.no_autoflush: dup = await check_duplicate_document_by_hash( @@ -103,7 +103,7 @@ class GmailKBSyncService: content_hash=content_hash, unique_identifier_hash=unique_hash, embedding=summary_embedding, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, source_markdown=body_text, updated_at=get_current_timestamp(), diff --git a/surfsense_backend/app/services/gmail/tool_metadata_service.py b/surfsense_backend/app/services/gmail/tool_metadata_service.py index 4855c1cc9..40d80b41b 100644 --- a/surfsense_backend/app/services/gmail/tool_metadata_service.py +++ b/surfsense_backend/app/services/gmail/tool_metadata_service.py @@ -216,13 +216,13 @@ class GmailToolMetadataService: ) async def _get_accounts( - self, search_space_id: int, user_id: str + self, workspace_id: int, user_id: str ) -> list[GmailAccount]: result = await self._db_session.execute( select(SearchSourceConnector) .filter( and_( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_( [ @@ -237,8 +237,8 @@ class GmailToolMetadataService: connectors = result.scalars().all() return [GmailAccount.from_connector(c) for c in connectors] - async def get_creation_context(self, search_space_id: int, user_id: str) -> dict: - accounts = await self._get_accounts(search_space_id, user_id) + async def get_creation_context(self, workspace_id: int, user_id: str) -> dict: + accounts = await self._get_accounts(workspace_id, user_id) if not accounts: return { @@ -289,10 +289,10 @@ class GmailToolMetadataService: return {"accounts": accounts_with_status} async def get_update_context( - self, search_space_id: int, user_id: str, email_ref: str + self, workspace_id: int, user_id: str, email_ref: str ) -> dict: document, connector = await self._resolve_email( - search_space_id, user_id, email_ref + workspace_id, user_id, email_ref ) if not document or not connector: @@ -478,10 +478,10 @@ class GmailToolMetadataService: return text_content.strip() if text_content.strip() else None async def get_trash_context( - self, search_space_id: int, user_id: str, email_ref: str + self, workspace_id: int, user_id: str, email_ref: str ) -> dict: document, connector = await self._resolve_email( - search_space_id, user_id, email_ref + workspace_id, user_id, email_ref ) if not document or not connector: @@ -509,7 +509,7 @@ class GmailToolMetadataService: } async def _resolve_email( - self, search_space_id: int, user_id: str, email_ref: str + self, workspace_id: int, user_id: str, email_ref: str ) -> tuple[Document | None, SearchSourceConnector | None]: result = await self._db_session.execute( select(Document, SearchSourceConnector) @@ -519,7 +519,7 @@ class GmailToolMetadataService: ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type.in_( [ DocumentType.GOOGLE_GMAIL_CONNECTOR, diff --git a/surfsense_backend/app/services/google_calendar/kb_sync_service.py b/surfsense_backend/app/services/google_calendar/kb_sync_service.py index 495720a2d..cab6302a2 100644 --- a/surfsense_backend/app/services/google_calendar/kb_sync_service.py +++ b/surfsense_backend/app/services/google_calendar/kb_sync_service.py @@ -40,7 +40,7 @@ class GoogleCalendarKBSyncService: html_link: str | None, description: str | None, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -52,7 +52,7 @@ class GoogleCalendarKBSyncService: try: unique_hash = generate_unique_identifier_hash( - DocumentType.GOOGLE_CALENDAR_CONNECTOR, event_id, search_space_id + DocumentType.GOOGLE_CALENDAR_CONNECTOR, event_id, workspace_id ) existing = await check_document_by_unique_identifier( @@ -74,7 +74,7 @@ class GoogleCalendarKBSyncService: f"{description or ''}" ).strip() - content_hash = generate_content_hash(indexable_content, search_space_id) + content_hash = generate_content_hash(indexable_content, workspace_id) with self.db_session.no_autoflush: dup = await check_duplicate_document_by_hash( @@ -116,7 +116,7 @@ class GoogleCalendarKBSyncService: content_hash=content_hash, unique_identifier_hash=unique_hash, embedding=summary_embedding, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, source_markdown=indexable_content, updated_at=get_current_timestamp(), @@ -165,7 +165,7 @@ class GoogleCalendarKBSyncService: document_id: int, event_id: str, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -260,7 +260,7 @@ class GoogleCalendarKBSyncService: document.title = event_summary document.content = summary_content document.content_hash = generate_content_hash( - indexable_content, search_space_id + indexable_content, workspace_id ) document.embedding = summary_embedding diff --git a/surfsense_backend/app/services/google_calendar/tool_metadata_service.py b/surfsense_backend/app/services/google_calendar/tool_metadata_service.py index 7e50ab039..2037f940b 100644 --- a/surfsense_backend/app/services/google_calendar/tool_metadata_service.py +++ b/surfsense_backend/app/services/google_calendar/tool_metadata_service.py @@ -240,13 +240,13 @@ class GoogleCalendarToolMetadataService: ) async def _get_accounts( - self, search_space_id: int, user_id: str + self, workspace_id: int, user_id: str ) -> list[GoogleCalendarAccount]: result = await self._db_session.execute( select(SearchSourceConnector) .filter( and_( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(CALENDAR_CONNECTOR_TYPES), ) @@ -256,8 +256,8 @@ class GoogleCalendarToolMetadataService: connectors = result.scalars().all() return [GoogleCalendarAccount.from_connector(c) for c in connectors] - async def get_creation_context(self, search_space_id: int, user_id: str) -> dict: - accounts = await self._get_accounts(search_space_id, user_id) + async def get_creation_context(self, workspace_id: int, user_id: str) -> dict: + accounts = await self._get_accounts(workspace_id, user_id) if not accounts: return { @@ -360,9 +360,9 @@ class GoogleCalendarToolMetadataService: } async def get_update_context( - self, search_space_id: int, user_id: str, event_ref: str + self, workspace_id: int, user_id: str, event_ref: str ) -> dict: - resolved = await self._resolve_event(search_space_id, user_id, event_ref) + resolved = await self._resolve_event(workspace_id, user_id, event_ref) if not resolved: return { "error": ( @@ -449,12 +449,12 @@ class GoogleCalendarToolMetadataService: } async def get_deletion_context( - self, search_space_id: int, user_id: str, event_ref: str + self, workspace_id: int, user_id: str, event_ref: str ) -> dict: - resolved = await self._resolve_event(search_space_id, user_id, event_ref) + resolved = await self._resolve_event(workspace_id, user_id, event_ref) if not resolved: live_resolved = await self._resolve_live_event( - search_space_id, user_id, event_ref + workspace_id, user_id, event_ref ) if not live_resolved: return { @@ -495,7 +495,7 @@ class GoogleCalendarToolMetadataService: } async def _resolve_event( - self, search_space_id: int, user_id: str, event_ref: str + self, workspace_id: int, user_id: str, event_ref: str ) -> tuple[Document, SearchSourceConnector] | None: result = await self._db_session.execute( select(Document, SearchSourceConnector) @@ -505,7 +505,7 @@ class GoogleCalendarToolMetadataService: ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type.in_(CALENDAR_DOCUMENT_TYPES), SearchSourceConnector.user_id == user_id, or_( @@ -526,13 +526,13 @@ class GoogleCalendarToolMetadataService: return None async def _resolve_live_event( - self, search_space_id: int, user_id: str, event_ref: str + self, workspace_id: int, user_id: str, event_ref: str ) -> tuple[SearchSourceConnector, dict] | None: result = await self._db_session.execute( select(SearchSourceConnector) .filter( and_( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_(CALENDAR_CONNECTOR_TYPES), ) diff --git a/surfsense_backend/app/services/google_drive/kb_sync_service.py b/surfsense_backend/app/services/google_drive/kb_sync_service.py index 30fbc14f2..4cf93c228 100644 --- a/surfsense_backend/app/services/google_drive/kb_sync_service.py +++ b/surfsense_backend/app/services/google_drive/kb_sync_service.py @@ -26,7 +26,7 @@ class GoogleDriveKBSyncService: web_view_link: str | None, content: str | None, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -38,7 +38,7 @@ class GoogleDriveKBSyncService: try: unique_hash = generate_unique_identifier_hash( - DocumentType.GOOGLE_DRIVE_FILE, file_id, search_space_id + DocumentType.GOOGLE_DRIVE_FILE, file_id, workspace_id ) existing = await check_document_by_unique_identifier( @@ -58,7 +58,7 @@ class GoogleDriveKBSyncService: f"Google Drive file: {file_name} (type: {mime_type})" ) - content_hash = generate_content_hash(indexable_content, search_space_id) + content_hash = generate_content_hash(indexable_content, workspace_id) with self.db_session.no_autoflush: dup = await check_duplicate_document_by_hash( @@ -95,7 +95,7 @@ class GoogleDriveKBSyncService: content_hash=content_hash, unique_identifier_hash=unique_hash, embedding=summary_embedding, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, source_markdown=content, updated_at=get_current_timestamp(), diff --git a/surfsense_backend/app/services/google_drive/tool_metadata_service.py b/surfsense_backend/app/services/google_drive/tool_metadata_service.py index 0f654bc78..1be8606f6 100644 --- a/surfsense_backend/app/services/google_drive/tool_metadata_service.py +++ b/surfsense_backend/app/services/google_drive/tool_metadata_service.py @@ -103,8 +103,8 @@ class GoogleDriveToolMetadataService: return inner, None return data, None - async def get_creation_context(self, search_space_id: int, user_id: str) -> dict: - accounts = await self._get_google_drive_accounts(search_space_id, user_id) + async def get_creation_context(self, workspace_id: int, user_id: str) -> dict: + accounts = await self._get_google_drive_accounts(workspace_id, user_id) if not accounts: return { @@ -132,7 +132,7 @@ class GoogleDriveToolMetadataService: } async def get_trash_context( - self, search_space_id: int, user_id: str, file_name: str + self, workspace_id: int, user_id: str, file_name: str ) -> dict: result = await self._db_session.execute( select(Document) @@ -141,7 +141,7 @@ class GoogleDriveToolMetadataService: ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.GOOGLE_DRIVE_FILE, func.lower(Document.title) == func.lower(file_name), SearchSourceConnector.user_id == user_id, @@ -198,13 +198,13 @@ class GoogleDriveToolMetadataService: } async def _get_google_drive_accounts( - self, search_space_id: int, user_id: str + self, workspace_id: int, user_id: str ) -> list[GoogleDriveAccount]: result = await self._db_session.execute( select(SearchSourceConnector) .filter( and_( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type.in_( [ diff --git a/surfsense_backend/app/services/linear/kb_sync_service.py b/surfsense_backend/app/services/linear/kb_sync_service.py index 3b8def6c3..b267428ec 100644 --- a/surfsense_backend/app/services/linear/kb_sync_service.py +++ b/surfsense_backend/app/services/linear/kb_sync_service.py @@ -34,7 +34,7 @@ class LinearKBSyncService: issue_url: str | None, description: str | None, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -46,7 +46,7 @@ class LinearKBSyncService: try: unique_hash = generate_unique_identifier_hash( - DocumentType.LINEAR_CONNECTOR, issue_id, search_space_id + DocumentType.LINEAR_CONNECTOR, issue_id, workspace_id ) existing = await check_document_by_unique_identifier( @@ -68,7 +68,7 @@ class LinearKBSyncService: f"# {issue_identifier}: {issue_title}\n\n{indexable_content}" ) - content_hash = generate_content_hash(issue_content, search_space_id) + content_hash = generate_content_hash(issue_content, workspace_id) with self.db_session.no_autoflush: dup = await check_duplicate_document_by_hash( @@ -107,7 +107,7 @@ class LinearKBSyncService: content_hash=content_hash, unique_identifier_hash=unique_hash, embedding=summary_embedding, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, updated_at=get_current_timestamp(), created_by_id=user_id, @@ -155,7 +155,7 @@ class LinearKBSyncService: document_id: int, issue_id: str, user_id: str, - search_space_id: int, + workspace_id: int, ) -> dict: """Re-index a Linear issue document after it has been updated via the API. @@ -163,7 +163,7 @@ class LinearKBSyncService: document_id: The KB document ID to update. issue_id: The Linear issue UUID to fetch fresh content from. user_id: Used to select the correct LLM configuration. - search_space_id: Used to select the correct LLM configuration. + workspace_id: Used to select the correct LLM configuration. Returns: dict with 'status': 'success' | 'not_indexed' | 'error'. @@ -213,9 +213,7 @@ class LinearKBSyncService: document.title = f"{issue_identifier}: {issue_title}" document.content = summary_content - document.content_hash = generate_content_hash( - issue_content, search_space_id - ) + document.content_hash = generate_content_hash(issue_content, workspace_id) document.embedding = summary_embedding from sqlalchemy.orm.attributes import flag_modified diff --git a/surfsense_backend/app/services/linear/tool_metadata_service.py b/surfsense_backend/app/services/linear/tool_metadata_service.py index 9848534b0..10033454e 100644 --- a/surfsense_backend/app/services/linear/tool_metadata_service.py +++ b/surfsense_backend/app/services/linear/tool_metadata_service.py @@ -90,7 +90,7 @@ class LinearToolMetadataService: def __init__(self, db_session: AsyncSession): self._db_session = db_session - async def get_creation_context(self, search_space_id: int, user_id: str) -> dict: + async def get_creation_context(self, workspace_id: int, user_id: str) -> dict: """Return context needed to create a new Linear issue. Fetches all connected Linear workspaces, and for each one fetches @@ -99,7 +99,7 @@ class LinearToolMetadataService: Returns a dict with key: workspaces (each entry has id, name, organization_name, teams, priorities). Returns a dict with key 'error' on failure. """ - connectors = await self._get_all_linear_connectors(search_space_id, user_id) + connectors = await self._get_all_linear_connectors(workspace_id, user_id) if not connectors: return {"error": "No Linear account connected"} @@ -155,7 +155,7 @@ class LinearToolMetadataService: return {"workspaces": workspaces} async def get_update_context( - self, search_space_id: int, user_id: str, issue_ref: str + self, workspace_id: int, user_id: str, issue_ref: str ) -> dict: """Return context needed to update an indexed Linear issue. @@ -166,7 +166,7 @@ class LinearToolMetadataService: Returns a dict with keys: workspace, priorities, issue, team. Returns a dict with key 'error' if the issue is not found or API fails. """ - document = await self._resolve_issue(search_space_id, user_id, issue_ref) + document = await self._resolve_issue(workspace_id, user_id, issue_ref) if not document: return { "error": f"Issue '{issue_ref}' not found in your synced Linear issues. " @@ -241,7 +241,7 @@ class LinearToolMetadataService: } async def get_delete_context( - self, search_space_id: int, user_id: str, issue_ref: str + self, workspace_id: int, user_id: str, issue_ref: str ) -> dict: """Return context needed to archive an indexed Linear issue. @@ -250,7 +250,7 @@ class LinearToolMetadataService: Returns a dict with keys: workspace, issue. Returns a dict with key 'error' if the issue is not found. """ - document = await self._resolve_issue(search_space_id, user_id, issue_ref) + document = await self._resolve_issue(workspace_id, user_id, issue_ref) if not document: return { "error": f"Issue '{issue_ref}' not found in your synced Linear issues. " @@ -332,7 +332,7 @@ class LinearToolMetadataService: return result.get("data", {}).get("issue") async def _resolve_issue( - self, search_space_id: int, user_id: str, issue_ref: str + self, workspace_id: int, user_id: str, issue_ref: str ) -> Document | None: """Resolve an issue from the KB using a 3-step fallback. @@ -348,7 +348,7 @@ class LinearToolMetadataService: ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.LINEAR_CONNECTOR, SearchSourceConnector.user_id == user_id, or_( @@ -368,13 +368,13 @@ class LinearToolMetadataService: return result.scalars().first() async def _get_all_linear_connectors( - self, search_space_id: int, user_id: str + self, workspace_id: int, user_id: str ) -> list[SearchSourceConnector]: - """Fetch all Linear connectors for the given search space and user.""" + """Fetch all Linear connectors for the given workspace and user.""" result = await self._db_session.execute( select(SearchSourceConnector).filter( and_( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.LINEAR_CONNECTOR, diff --git a/surfsense_backend/app/services/llm_service.py b/surfsense_backend/app/services/llm_service.py index e535d0150..6dbc6e6f7 100644 --- a/surfsense_backend/app/services/llm_service.py +++ b/surfsense_backend/app/services/llm_service.py @@ -9,7 +9,7 @@ from sqlalchemy.future import select from sqlalchemy.orm import selectinload from app.config import config -from app.db import Model, SearchSpace +from app.db import Model, Workspace from app.services.auto_model_pin_service import ( auto_model_candidates, choose_auto_model_candidate, @@ -150,7 +150,7 @@ def _chat_litellm_from_resolved( async def _get_db_model( session: AsyncSession, model_id: int, - search_space: SearchSpace, + workspace: Workspace, ) -> Model | None: result = await session.execute( select(Model) @@ -161,9 +161,9 @@ async def _get_db_model( if not model or not model.connection or not model.connection.enabled: return None conn = model.connection - if conn.search_space_id and conn.search_space_id != search_space.id: + if conn.workspace_id and conn.workspace_id != workspace.id: return None - if conn.user_id and conn.user_id != search_space.user_id: + if conn.user_id and conn.user_id != workspace.user_id: return None return model @@ -269,48 +269,48 @@ async def validate_llm_config( return False, error_msg -async def get_search_space_llm_instance( +async def get_workspace_llm_instance( session: AsyncSession, - search_space_id: int, + workspace_id: int, role: str, disable_streaming: bool = False, ) -> ChatLiteLLM | ChatLiteLLMRouter | None: """ - Get a ChatLiteLLM instance for a specific search space and role. + Get a ChatLiteLLM instance for a specific workspace and role. - LLM preferences are stored at the search space level and shared by all members. + LLM preferences are stored at the workspace level and shared by all members. If Auto mode (ID 0) is configured, returns a ChatLiteLLMRouter that uses LiteLLM Router for automatic load balancing across available providers. Args: session: Database session - search_space_id: Search Space ID + workspace_id: Workspace ID role: LLM role ('agent') Returns: ChatLiteLLM or ChatLiteLLMRouter instance, or None if not found """ try: - # Get the search space with its LLM preferences + # Get the workspace with its LLM preferences result = await session.execute( - select(SearchSpace).where(SearchSpace.id == search_space_id) + select(Workspace).where(Workspace.id == workspace_id) ) - search_space = result.scalars().first() + workspace = result.scalars().first() - if not search_space: - logger.error(f"Search space {search_space_id} not found") + if not workspace: + logger.error(f"Workspace {workspace_id} not found") return None # Get the appropriate model binding ID based on role if role == LLMRole.AGENT: - llm_config_id = search_space.chat_model_id + llm_config_id = workspace.chat_model_id else: logger.error(f"Invalid LLM role: {role}") return None if llm_config_id is None: - logger.error(f"No {role} LLM configured for search space {search_space_id}") + logger.error(f"No {role} LLM configured for workspace {workspace_id}") return None # Auto mode resolves to one concrete global or BYOK model from the @@ -318,15 +318,15 @@ async def get_search_space_llm_instance( if is_auto_mode(llm_config_id): candidates = await auto_model_candidates( session, - search_space_id=search_space_id, - user_id=search_space.user_id, + workspace_id=workspace_id, + user_id=workspace.user_id, capability="chat", ) if not candidates: logger.error("No chat-capable models available for Auto mode") return None llm_config_id = int( - choose_auto_model_candidate(candidates, search_space_id)["id"] + choose_auto_model_candidate(candidates, workspace_id)["id"] ) # Check if this is a global virtual model (negative ID) @@ -356,10 +356,10 @@ async def get_search_space_llm_instance( return SanitizedChatLiteLLM(**litellm_kwargs) - model = await _get_db_model(session, llm_config_id, search_space) + model = await _get_db_model(session, llm_config_id, workspace) if not model or not _has_capability(model, "chat"): logger.error( - f"Chat model {llm_config_id} not found in search space {search_space_id}" + f"Chat model {llm_config_id} not found in workspace {workspace_id}" ) return None @@ -377,27 +377,27 @@ async def get_search_space_llm_instance( except Exception as e: logger.error( - f"Error getting LLM instance for search space {search_space_id}, role {role}: {e!s}" + f"Error getting LLM instance for workspace {workspace_id}, role {role}: {e!s}" ) return None async def get_agent_llm( - session: AsyncSession, search_space_id: int, disable_streaming: bool = False + session: AsyncSession, workspace_id: int, disable_streaming: bool = False ) -> ChatLiteLLM | ChatLiteLLMRouter | None: - """Get the search space's chat model instance.""" - return await get_search_space_llm_instance( + """Get the workspace's chat model instance.""" + return await get_workspace_llm_instance( session, - search_space_id, + workspace_id, LLMRole.AGENT, disable_streaming=disable_streaming, ) async def get_vision_llm( - session: AsyncSession, search_space_id: int + session: AsyncSession, workspace_id: int ) -> ChatLiteLLM | ChatLiteLLMRouter | None: - """Get the search space's vision LLM instance for screenshot analysis. + """Get the workspace's vision LLM instance for screenshot analysis. Resolves from the new connection/model role bindings: - Auto mode (ID 0): unified global/BYOK model candidate selection @@ -405,7 +405,7 @@ async def get_vision_llm( - DB (positive ID): Model + Connection tables Premium global configs are wrapped in :class:`QuotaCheckedVisionLLM` - so each ``ainvoke`` debits the search-space owner's premium credit + so each ``ainvoke`` debits the workspace owner's premium credit pool. User-owned BYOK configs and free global configs are returned unwrapped — they don't consume premium credit (issue M). """ @@ -413,17 +413,17 @@ async def get_vision_llm( try: result = await session.execute( - select(SearchSpace).where(SearchSpace.id == search_space_id) + select(Workspace).where(Workspace.id == workspace_id) ) - search_space = result.scalars().first() - if not search_space: - logger.error(f"Search space {search_space_id} not found") + workspace = result.scalars().first() + if not workspace: + logger.error(f"Workspace {workspace_id} not found") return None - owner_user_id = search_space.user_id + owner_user_id = workspace.user_id # Prefer the selected chat model when it is vision-capable. - chat_model_id = search_space.chat_model_id + chat_model_id = workspace.chat_model_id if chat_model_id and chat_model_id != AUTO_MODE_ID: if chat_model_id < 0: chat_model = get_global_model(chat_model_id) @@ -442,7 +442,7 @@ async def get_vision_llm( return SanitizedChatLiteLLM(**litellm_kwargs) else: - chat_model = await _get_db_model(session, chat_model_id, search_space) + chat_model = await _get_db_model(session, chat_model_id, workspace) if chat_model and _has_capability(chat_model, "vision"): _, litellm_kwargs = _chat_litellm_from_resolved( conn=chat_model.connection, @@ -454,24 +454,22 @@ async def get_vision_llm( return SanitizedChatLiteLLM(**litellm_kwargs) - config_id = search_space.vision_model_id + config_id = workspace.vision_model_id if config_id is None: - logger.error(f"No vision LLM configured for search space {search_space_id}") + logger.error(f"No vision LLM configured for workspace {workspace_id}") return None if config_id == AUTO_MODE_ID: candidates = await auto_model_candidates( session, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=owner_user_id, capability="vision", ) if not candidates: logger.error("No vision-capable models available for Auto mode") return None - config_id = int( - choose_auto_model_candidate(candidates, search_space_id)["id"] - ) + config_id = int(choose_auto_model_candidate(candidates, workspace_id)["id"]) if config_id < 0: global_model = get_global_model(config_id) @@ -504,7 +502,7 @@ async def get_vision_llm( return QuotaCheckedVisionLLM( inner_llm, user_id=owner_user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, billing_tier=billing_tier, base_model=model_string, quota_reserve_tokens=global_model.get("catalog", {}).get( @@ -513,10 +511,10 @@ async def get_vision_llm( ) return inner_llm - model = await _get_db_model(session, config_id, search_space) + model = await _get_db_model(session, config_id, workspace) if not model or not _has_capability(model, "vision"): logger.error( - f"Vision model {config_id} not found in search space {search_space_id}" + f"Vision model {config_id} not found in workspace {workspace_id}" ) return None @@ -532,9 +530,7 @@ async def get_vision_llm( return SanitizedChatLiteLLM(**litellm_kwargs) except Exception as e: - logger.error( - f"Error getting vision LLM for search space {search_space_id}: {e!s}" - ) + logger.error(f"Error getting vision LLM for workspace {workspace_id}: {e!s}") return None @@ -551,7 +547,7 @@ def get_planner_llm() -> ChatLiteLLM | None: This helper reads from ``config.GLOBAL_LLM_CONFIGS`` (loaded at import time from ``global_llm_config.yaml``) so it has no DB cost and can be called synchronously from middleware/factory code. It returns the same - instance shape as the global path of ``get_search_space_llm_instance``. + instance shape as the global path of ``get_workspace_llm_instance``. Callers MUST fall back to their chat LLM when this returns ``None`` so deployments without a planner config keep working unchanged. diff --git a/surfsense_backend/app/services/mcp_oauth/registry.py b/surfsense_backend/app/services/mcp_oauth/registry.py index 310c3f6e8..c61aedfd6 100644 --- a/surfsense_backend/app/services/mcp_oauth/registry.py +++ b/surfsense_backend/app/services/mcp_oauth/registry.py @@ -153,13 +153,26 @@ MCP_SERVICES: dict[str, MCPServiceConfig] = { "mpim:history", "im:history", ], + # Both prefixed and unprefixed variants: sources disagree on which + # names mcp.slack.com currently advertises. Unmatched entries are + # ignored at discovery time. allowed_tools=[ "slack_search_channels", "slack_read_channel", "slack_read_thread", + "search_channels", + "read_channel", + "read_thread", ], readonly_tools=frozenset( - {"slack_search_channels", "slack_read_channel", "slack_read_thread"} + { + "slack_search_channels", + "slack_read_channel", + "slack_read_thread", + "search_channels", + "read_channel", + "read_thread", + } ), # TODO: oauth.v2.user.access only returns team.id, not team.name. # To populate team_name, either add "team:read" scope and call @@ -185,6 +198,53 @@ MCP_SERVICES: dict[str, MCPServiceConfig] = { ), account_metadata_keys=["user_id", "user_email"], ), + "notion": MCPServiceConfig( + name="Notion", + mcp_url="https://mcp.notion.com/mcp", + connector_type="NOTION_CONNECTOR", + # DCR (RFC 7591): Notion issues its own client credentials. It expires + # DCR registrations, but refresh reuses the original persisted + # ``mcp_oauth.client_id`` (see _refresh_connector_token). + # Notion renamed its MCP tools with a "notion-" prefix (late 2025). + # Unprefixed names kept for servers still advertising the old names — + # allowlist entries the server doesn't advertise are simply ignored. + allowed_tools=[ + "notion-search", + "notion-fetch", + "notion-create-pages", + "notion-update-page", + "search", + "fetch", + "create-pages", + "update-page", + ], + readonly_tools=frozenset({"notion-search", "notion-fetch", "search", "fetch"}), + account_metadata_keys=["workspace_name"], + ), + "confluence": MCPServiceConfig( + name="Confluence", + # Same Atlassian Rovo server as Jira; tool sets are kept disjoint by + # curation so a workspace can connect both as separate connectors. + mcp_url="https://mcp.atlassian.com/v1/mcp", + connector_type="CONFLUENCE_CONNECTOR", + allowed_tools=[ + "getAccessibleAtlassianResources", + "getConfluenceSpaces", + "getConfluencePage", + "searchConfluenceUsingCql", + "createConfluencePage", + "updateConfluencePage", + ], + readonly_tools=frozenset( + { + "getAccessibleAtlassianResources", + "getConfluenceSpaces", + "getConfluencePage", + "searchConfluenceUsingCql", + } + ), + account_metadata_keys=["cloud_id", "site_name", "base_url"], + ), } _CONNECTOR_TYPE_TO_SERVICE: dict[str, MCPServiceConfig] = { @@ -205,6 +265,25 @@ LIVE_CONNECTOR_TYPES: frozenset[SearchSourceConnectorType] = frozenset( SearchSourceConnectorType.COMPOSIO_GMAIL_CONNECTOR, SearchSourceConnectorType.DISCORD_CONNECTOR, SearchSourceConnectorType.LUMA_CONNECTOR, + # Migrated to hosted MCP — indexing pipelines deprecated (KB is + # files/notes/uploads only). LIVE membership blocks the index route + # and auto-disables periodic indexing. + SearchSourceConnectorType.NOTION_CONNECTOR, + SearchSourceConnectorType.CONFLUENCE_CONNECTOR, + } +) + +# Indexing-only connectors retired with the KB "files, notes, and uploads only" +# shift: their ingestion pipelines are deprecated. Like LIVE membership, this +# blocks the index route and auto-disables periodic indexing — but the message +# frames it as a deprecation, not a real-time-tools swap. Obsidian is +# intentionally excluded (file-like vault content still enriches the KB). +DEPRECATED_INDEXING_CONNECTOR_TYPES: frozenset[SearchSourceConnectorType] = frozenset( + { + SearchSourceConnectorType.GITHUB_CONNECTOR, + SearchSourceConnectorType.BOOKSTACK_CONNECTOR, + SearchSourceConnectorType.ELASTICSEARCH_CONNECTOR, + SearchSourceConnectorType.CIRCLEBACK_CONNECTOR, } ) diff --git a/surfsense_backend/app/services/memory/service.py b/surfsense_backend/app/services/memory/service.py index feca000c9..b25522c10 100644 --- a/surfsense_backend/app/services/memory/service.py +++ b/surfsense_backend/app/services/memory/service.py @@ -11,7 +11,7 @@ from uuid import UUID from sqlalchemy import select from sqlalchemy.ext.asyncio import AsyncSession -from app.db import SearchSpace, User +from app.db import User, Workspace from app.services.memory.document import parse_memory_document, render_memory_document from app.services.memory.rewrite import forced_rewrite from app.services.memory.schemas import MemoryLimits @@ -90,7 +90,7 @@ async def _load_target( scope: MemoryScope | str, target_id: str | int | UUID, session: AsyncSession, -) -> User | SearchSpace | None: +) -> User | Workspace | None: normalized = _normalize_scope(scope) if normalized is MemoryScope.USER: result = await session.execute( @@ -98,18 +98,18 @@ async def _load_target( ) return result.scalars().first() result = await session.execute( - select(SearchSpace).where(SearchSpace.id == int(target_id)) + select(Workspace).where(Workspace.id == int(target_id)) ) return result.scalars().first() -def _get_memory(target: User | SearchSpace, scope: MemoryScope) -> str: +def _get_memory(target: User | Workspace, scope: MemoryScope) -> str: if scope is MemoryScope.USER: return getattr(target, "memory_md", None) or "" return getattr(target, "shared_memory_md", None) or "" -def _set_memory(target: User | SearchSpace, scope: MemoryScope, content: str) -> None: +def _set_memory(target: User | Workspace, scope: MemoryScope, content: str) -> None: if scope is MemoryScope.USER: target.memory_md = content else: @@ -150,7 +150,7 @@ async def save_memory( status="error", message="User not found." if normalized is MemoryScope.USER - else "Search space not found.", + else "Workspace not found.", ) old_memory = _get_memory(target, normalized) diff --git a/surfsense_backend/app/services/notion/kb_sync_service.py b/surfsense_backend/app/services/notion/kb_sync_service.py index ee85daf41..e9d81ac4f 100644 --- a/surfsense_backend/app/services/notion/kb_sync_service.py +++ b/surfsense_backend/app/services/notion/kb_sync_service.py @@ -25,7 +25,7 @@ class NotionKBSyncService: page_url: str | None, content: str | None, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -37,7 +37,7 @@ class NotionKBSyncService: try: unique_hash = generate_unique_identifier_hash( - DocumentType.NOTION_CONNECTOR, page_id, search_space_id + DocumentType.NOTION_CONNECTOR, page_id, workspace_id ) existing = await check_document_by_unique_identifier( @@ -57,7 +57,7 @@ class NotionKBSyncService: markdown_content = f"# Notion Page: {page_title}\n\n{indexable_content}" - content_hash = generate_content_hash(markdown_content, search_space_id) + content_hash = generate_content_hash(markdown_content, workspace_id) with self.db_session.no_autoflush: dup = await check_duplicate_document_by_hash( @@ -93,7 +93,7 @@ class NotionKBSyncService: content_hash=content_hash, unique_identifier_hash=unique_hash, embedding=summary_embedding, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, updated_at=get_current_timestamp(), created_by_id=user_id, @@ -141,7 +141,7 @@ class NotionKBSyncService: document_id: int, appended_content: str, user_id: str, - search_space_id: int, + workspace_id: int, appended_block_ids: list[str] | None = None, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -233,7 +233,7 @@ class NotionKBSyncService: logger.debug("Updating document fields") document.content = summary_content - document.content_hash = generate_content_hash(full_content, search_space_id) + document.content_hash = generate_content_hash(full_content, workspace_id) document.embedding = summary_embedding document.document_metadata = { **document.document_metadata, diff --git a/surfsense_backend/app/services/notion/tool_metadata_service.py b/surfsense_backend/app/services/notion/tool_metadata_service.py index 19dc1fd89..e80e5889f 100644 --- a/surfsense_backend/app/services/notion/tool_metadata_service.py +++ b/surfsense_backend/app/services/notion/tool_metadata_service.py @@ -74,8 +74,8 @@ class NotionToolMetadataService: def __init__(self, db_session: AsyncSession): self._db_session = db_session - async def get_creation_context(self, search_space_id: int, user_id: str) -> dict: - accounts = await self._get_notion_accounts(search_space_id, user_id) + async def get_creation_context(self, workspace_id: int, user_id: str) -> dict: + accounts = await self._get_notion_accounts(workspace_id, user_id) if not accounts: return { @@ -84,9 +84,7 @@ class NotionToolMetadataService: "error": "No Notion accounts connected", } - parent_pages = await self._get_parent_pages_by_account( - search_space_id, accounts - ) + parent_pages = await self._get_parent_pages_by_account(workspace_id, accounts) accounts_with_status = [] for acc in accounts: @@ -123,7 +121,7 @@ class NotionToolMetadataService: } async def get_update_context( - self, search_space_id: int, user_id: str, page_title: str + self, workspace_id: int, user_id: str, page_title: str ) -> dict: result = await self._db_session.execute( select(Document) @@ -132,7 +130,7 @@ class NotionToolMetadataService: ) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.NOTION_CONNECTOR, func.lower(Document.title) == func.lower(page_title), SearchSourceConnector.user_id == user_id, @@ -202,18 +200,18 @@ class NotionToolMetadataService: } async def get_delete_context( - self, search_space_id: int, user_id: str, page_title: str + self, workspace_id: int, user_id: str, page_title: str ) -> dict: - return await self.get_update_context(search_space_id, user_id, page_title) + return await self.get_update_context(workspace_id, user_id, page_title) async def _get_notion_accounts( - self, search_space_id: int, user_id: str + self, workspace_id: int, user_id: str ) -> list[NotionAccount]: result = await self._db_session.execute( select(SearchSourceConnector) .filter( and_( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.NOTION_CONNECTOR, @@ -243,7 +241,7 @@ class NotionToolMetadataService: return True async def _get_parent_pages_by_account( - self, search_space_id: int, accounts: list[NotionAccount] + self, workspace_id: int, accounts: list[NotionAccount] ) -> dict: parent_pages = {} @@ -252,7 +250,7 @@ class NotionToolMetadataService: select(Document) .filter( and_( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.connector_id == account.id, Document.document_type == DocumentType.NOTION_CONNECTOR, ) diff --git a/surfsense_backend/app/services/obsidian_plugin_indexer.py b/surfsense_backend/app/services/obsidian_plugin_indexer.py index cd05d7935..2462093f8 100644 --- a/surfsense_backend/app/services/obsidian_plugin_indexer.py +++ b/surfsense_backend/app/services/obsidian_plugin_indexer.py @@ -24,7 +24,7 @@ Design notes The plugin's content hash and the backend's ``content_hash`` are computed differently (plugin uses raw SHA-256 of the markdown body; backend salts -with ``search_space_id``). We persist the plugin's hash in +with ``workspace_id``). We persist the plugin's hash in ``document_metadata['plugin_content_hash']`` so the manifest endpoint can return what the plugin sent — that's the only number the plugin can compare without re-downloading content. @@ -217,7 +217,7 @@ async def _resolve_attachment_vision_llm( session: AsyncSession, *, connector: SearchSourceConnector, - search_space_id: int, + workspace_id: int, payload: NotePayload, ): """Match connector indexers: only fetch vision LLM for image attachments @@ -231,7 +231,7 @@ async def _resolve_attachment_vision_llm( from app.services.llm_service import get_vision_llm - return await get_vision_llm(session, search_space_id) + return await get_vision_llm(session, workspace_id) def _require_extracted_attachment_content( @@ -253,7 +253,7 @@ def _require_extracted_attachment_content( async def _find_existing_document( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, vault_id: str, path: str, ) -> Document | None: @@ -261,7 +261,7 @@ async def _find_existing_document( uid_hash = generate_unique_identifier_hash( DocumentType.OBSIDIAN_CONNECTOR, unique_id, - search_space_id, + workspace_id, ) result = await session.execute( select(Document).where(Document.unique_identifier_hash == uid_hash) @@ -287,11 +287,11 @@ async def upsert_note( a skip-because-unchanged hit). """ vault_name: str = (connector.config or {}).get("vault_name") or "Vault" - search_space_id = connector.search_space_id + workspace_id = connector.workspace_id existing = await _find_existing_document( session, - search_space_id=search_space_id, + workspace_id=workspace_id, vault_id=payload.vault_id, path=payload.path, ) @@ -324,7 +324,7 @@ async def upsert_note( vision_llm = await _resolve_attachment_vision_llm( session, connector=connector, - search_space_id=search_space_id, + workspace_id=workspace_id, payload=payload, ) content_for_index, etl_meta = await _extract_binary_attachment_markdown( @@ -353,7 +353,7 @@ async def upsert_note( source_markdown=document_string, unique_id=_vault_path_unique_id(payload.vault_id, payload.path), document_type=DocumentType.OBSIDIAN_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector.id, created_by_id=str(user_id), metadata=metadata, @@ -387,11 +387,11 @@ async def rename_note( the new path). """ vault_name: str = (connector.config or {}).get("vault_name") or "Vault" - search_space_id = connector.search_space_id + workspace_id = connector.workspace_id existing = await _find_existing_document( session, - search_space_id=search_space_id, + workspace_id=workspace_id, vault_id=vault_id, path=old_path, ) @@ -402,7 +402,7 @@ async def rename_note( new_uid_hash = generate_unique_identifier_hash( DocumentType.OBSIDIAN_CONNECTOR, new_unique_id, - search_space_id, + workspace_id, ) collision = await session.execute( @@ -461,7 +461,7 @@ async def delete_note( """ existing = await _find_existing_document( session, - search_space_id=connector.search_space_id, + workspace_id=connector.workspace_id, vault_id=vault_id, path=path, ) @@ -500,7 +500,7 @@ async def merge_obsidian_connectors( return target_vault_id = (target.config or {}).get("vault_id") - target_search_space_id = target.search_space_id + target_workspace_id = target.workspace_id if not target_vault_id: raise RuntimeError("merge target is missing vault_id") @@ -539,13 +539,13 @@ async def merge_obsidian_connectors( new_uid_hash = generate_unique_identifier_hash( DocumentType.OBSIDIAN_CONNECTOR, new_unique_id, - target_search_space_id, + target_workspace_id, ) meta["vault_id"] = target_vault_id meta["connector_id"] = target.id doc.document_metadata = meta doc.connector_id = target.id - doc.search_space_id = target_search_space_id + doc.workspace_id = target_workspace_id doc.unique_identifier_hash = new_uid_hash target_paths.add(path) @@ -571,7 +571,7 @@ async def get_manifest( result = await session.execute( select(Document).where( and_( - Document.search_space_id == connector.search_space_id, + Document.workspace_id == connector.workspace_id, Document.connector_id == connector.id, Document.document_type == DocumentType.OBSIDIAN_CONNECTOR, ) diff --git a/surfsense_backend/app/services/onedrive/kb_sync_service.py b/surfsense_backend/app/services/onedrive/kb_sync_service.py index 2bfea6ef4..468253188 100644 --- a/surfsense_backend/app/services/onedrive/kb_sync_service.py +++ b/surfsense_backend/app/services/onedrive/kb_sync_service.py @@ -27,7 +27,7 @@ class OneDriveKBSyncService: web_url: str | None, content: str | None, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> dict: from app.tasks.connector_indexers.base import ( @@ -39,7 +39,7 @@ class OneDriveKBSyncService: try: unique_hash = compute_identifier_hash( - DocumentType.ONEDRIVE_FILE.value, file_id, search_space_id + DocumentType.ONEDRIVE_FILE.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier( @@ -57,7 +57,7 @@ class OneDriveKBSyncService: if not indexable_content: indexable_content = f"OneDrive file: {file_name} (type: {mime_type})" - content_hash = generate_content_hash(indexable_content, search_space_id) + content_hash = generate_content_hash(indexable_content, workspace_id) with self.db_session.no_autoflush: dup = await check_duplicate_document_by_hash( @@ -94,7 +94,7 @@ class OneDriveKBSyncService: content_hash=content_hash, unique_identifier_hash=unique_hash, embedding=summary_embedding, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, source_markdown=content, updated_at=get_current_timestamp(), diff --git a/surfsense_backend/app/services/platform_scrape_credit_service.py b/surfsense_backend/app/services/platform_scrape_credit_service.py new file mode 100644 index 000000000..6f212190b --- /dev/null +++ b/surfsense_backend/app/services/platform_scrape_credit_service.py @@ -0,0 +1,77 @@ +"""Charge the credit wallet per *item returned* by a platform-native scraper. + +Deliberately mirrors :class:`app.services.web_crawl_credit_service.WebCrawlCreditService`: +a simple **gate -> pre-check -> post-charge** model (no reserve/finalize) — a +scrape has no LLM token accumulator to settle against. The billable unit is one +returned item (a Reddit post/comment, a SERP page, a Maps place/review, a +YouTube video/comment); the per-item rate is passed in by the caller from the +verb's config knob so this one service serves every platform meter. + +The price is **fully config-driven** — there is no hardcoded rate here. When +``config.PLATFORM_SCRAPE_BILLING_ENABLED`` is False (the default for +self-hosted / OSS installs) every check/charge is a no-op, preserving the prior +effectively-free scraping behaviour. + +Wallet math (spendable / check / debit) is shared with the crawl biller via +:mod:`app.services.wallet_credit`. +""" + +from uuid import UUID + +from sqlalchemy.ext.asyncio import AsyncSession + +from app.config import config +from app.services import wallet_credit + +# One "out of credit" type across every per-unit biller; the capability doors +# already catch exactly this one. +from app.services.etl_credit_service import InsufficientCreditsError + +__all__ = ["InsufficientCreditsError", "PlatformScrapeCreditService"] + + +class PlatformScrapeCreditService: + """Checks and charges the credit wallet for platform scraper items.""" + + def __init__(self, session: AsyncSession): + self.session = session + + @staticmethod + def billing_enabled() -> bool: + return config.PLATFORM_SCRAPE_BILLING_ENABLED + + @staticmethod + def items_to_micros(items: int, rate_micros: int) -> int: + """Convert an item count to USD micro-credits at ``rate_micros``/item.""" + return int(items) * int(rate_micros) + + async def check_credits( + self, user_id: str | UUID, estimated_items: int, rate_micros: int + ) -> None: + """Raise :class:`InsufficientCreditsError` if the wallet can't afford + ``estimated_items`` at ``rate_micros`` each. + + No-op when platform billing is disabled. ``estimated_items`` is a safe + upper bound (the request's worst-case fan-out) so a passing pre-flight + guarantees the wallet can never go negative. + """ + if not config.PLATFORM_SCRAPE_BILLING_ENABLED: + return + required = self.items_to_micros(estimated_items, rate_micros) + await wallet_credit.check_balance(self.session, user_id, required) + + async def charge( + self, user_id: str | UUID, items: int, rate_micros: int + ) -> int | None: + """Debit the wallet for ``items`` returned at ``rate_micros`` each. + + No-op when platform billing is disabled or ``items <= 0``. Returns the + new balance in micros, or ``None`` when nothing was charged. + """ + if not config.PLATFORM_SCRAPE_BILLING_ENABLED: + return None + if items <= 0: + return None + return await wallet_credit.apply_debit( + self.session, user_id, self.items_to_micros(items, rate_micros) + ) diff --git a/surfsense_backend/app/services/public_chat_service.py b/surfsense_backend/app/services/public_chat_service.py index 11c57e969..88b9018de 100644 --- a/surfsense_backend/app/services/public_chat_service.py +++ b/surfsense_backend/app/services/public_chat_service.py @@ -31,10 +31,10 @@ from app.db import ( PodcastStatus, PublicChatSnapshot, Report, - SearchSpaceMembership, User, VideoPresentation, VideoPresentationStatus, + WorkspaceMembership, ) from app.utils.rbac import check_permission @@ -189,7 +189,7 @@ async def create_snapshot( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.PUBLIC_SHARING_CREATE.value, "You don't have permission to create public share links", ) @@ -450,7 +450,7 @@ async def list_snapshots_for_thread( await check_permission( session, auth, - thread.search_space_id, + thread.workspace_id, Permission.PUBLIC_SHARING_VIEW.value, "You don't have permission to view public share links", ) @@ -476,18 +476,18 @@ async def list_snapshots_for_thread( ] -async def list_snapshots_for_search_space( +async def list_snapshots_for_workspace( session: AsyncSession, - search_space_id: int, + workspace_id: int, auth: AuthContext, ) -> list[dict]: - """List all public snapshots for a search space.""" + """List all public snapshots for a workspace.""" from app.config import config await check_permission( session, auth, - search_space_id, + workspace_id, Permission.PUBLIC_SHARING_VIEW.value, "You don't have permission to view public share links", ) @@ -495,7 +495,7 @@ async def list_snapshots_for_search_space( result = await session.execute( select(PublicChatSnapshot) .join(NewChatThread, PublicChatSnapshot.thread_id == NewChatThread.id) - .filter(NewChatThread.search_space_id == search_space_id) + .filter(NewChatThread.workspace_id == workspace_id) .order_by(PublicChatSnapshot.created_at.desc()) ) snapshots = result.scalars().all() @@ -556,7 +556,7 @@ async def delete_snapshot( await check_permission( session, auth, - snapshot.thread.search_space_id, + snapshot.thread.workspace_id, Permission.PUBLIC_SHARING_DELETE.value, "You don't have permission to delete public share links", ) @@ -603,27 +603,27 @@ async def delete_affected_snapshots( # ============================================================================= -async def get_user_default_search_space( +async def get_user_default_workspace( session: AsyncSession, user_id: UUID, ) -> int | None: """ - Get user's default search space for cloning. + Get user's default workspace for cloning. - Returns the first search space where user is owner, or None if not found. + Returns the first workspace where user is owner, or None if not found. """ result = await session.execute( - select(SearchSpaceMembership) + select(WorkspaceMembership) .filter( - SearchSpaceMembership.user_id == user_id, - SearchSpaceMembership.is_owner.is_(True), + WorkspaceMembership.user_id == user_id, + WorkspaceMembership.is_owner.is_(True), ) .limit(1) ) membership = result.scalars().first() if membership: - return membership.search_space_id + return membership.workspace_id return None @@ -650,10 +650,10 @@ async def clone_from_snapshot( status_code=404, detail="Chat not found or no longer public" ) - target_search_space_id = await get_user_default_search_space(session, user.id) + target_workspace_id = await get_user_default_workspace(session, user.id) - if target_search_space_id is None: - raise HTTPException(status_code=400, detail="No search space found for user") + if target_workspace_id is None: + raise HTTPException(status_code=400, detail="No workspace found for user") data = snapshot.snapshot_data messages_data = data.get("messages", []) @@ -664,7 +664,7 @@ async def clone_from_snapshot( title=data.get("title", "Cloned Chat"), archived=False, visibility=ChatVisibility.PRIVATE, - search_space_id=target_search_space_id, + workspace_id=target_workspace_id, created_by_id=user.id, cloned_from_thread_id=snapshot.thread_id, cloned_from_snapshot_id=snapshot.id, @@ -726,7 +726,7 @@ async def clone_from_snapshot( storage_key=podcast_info.get("storage_key"), file_location=podcast_info.get("file_path"), status=PodcastStatus.READY, - search_space_id=target_search_space_id, + workspace_id=target_workspace_id, thread_id=new_thread.id, ) session.add(new_podcast) @@ -754,7 +754,7 @@ async def clone_from_snapshot( title=report_info.get("title", "Cloned Report"), content=report_info.get("content"), report_metadata=report_info.get("report_metadata"), - search_space_id=target_search_space_id, + workspace_id=target_workspace_id, thread_id=new_thread.id, ) session.add(new_report) @@ -783,7 +783,7 @@ async def clone_from_snapshot( return { "thread_id": new_thread.id, - "search_space_id": target_search_space_id, + "workspace_id": target_workspace_id, } diff --git a/surfsense_backend/app/services/quota_checked_vision_llm.py b/surfsense_backend/app/services/quota_checked_vision_llm.py index 0040e5a5b..99fa0c97c 100644 --- a/surfsense_backend/app/services/quota_checked_vision_llm.py +++ b/surfsense_backend/app/services/quota_checked_vision_llm.py @@ -18,7 +18,7 @@ Why a wrapper instead of plumbing ``user_id`` through every caller: Dropbox, local-folder, file-processor, ETL pipeline) each calling ``parse_with_vision_llm(...)``. Adding a ``user_id`` argument to each is invasive, error-prone, and easy for a future indexer to forget. -* Per the design (issue M), we always debit the *search-space owner*, not +* Per the design (issue M), we always debit the *workspace owner*, not the triggering user, so ``user_id`` is fully derivable from the search space the caller is already operating on. The wrapper captures it once at construction time. @@ -56,7 +56,7 @@ class QuotaCheckedVisionLLM: inner_llm: Any, *, user_id: UUID, - search_space_id: int, + workspace_id: int, billing_tier: str, base_model: str, quota_reserve_tokens: int | None, @@ -64,7 +64,7 @@ class QuotaCheckedVisionLLM: ) -> None: self._inner = inner_llm self._user_id = user_id - self._search_space_id = search_space_id + self._workspace_id = workspace_id self._billing_tier = billing_tier self._base_model = base_model self._quota_reserve_tokens = quota_reserve_tokens @@ -81,7 +81,7 @@ class QuotaCheckedVisionLLM: """ async with billable_call( user_id=self._user_id, - search_space_id=self._search_space_id, + workspace_id=self._workspace_id, billing_tier=self._billing_tier, base_model=self._base_model, quota_reserve_tokens=self._quota_reserve_tokens, diff --git a/surfsense_backend/app/services/revert_service.py b/surfsense_backend/app/services/revert_service.py index 0cb6cd092..3d2faf44e 100644 --- a/surfsense_backend/app/services/revert_service.py +++ b/surfsense_backend/app/services/revert_service.py @@ -121,7 +121,7 @@ def can_revert( """Return True iff the requester is allowed to revert this action. The plan's rule: "requester must be the original `user_id` on the - action, or hold the search-space admin role." Anonymous actions + action, or hold the workspace admin role." Anonymous actions (``action.user_id is None``) can only be reverted by admins. """ if is_admin: @@ -215,7 +215,7 @@ async def _restore_in_place_document( if isinstance(revision.content_before, str): doc.content_hash = generate_content_hash( - revision.content_before, doc.search_space_id + revision.content_before, doc.workspace_id ) virtual_path = await _virtual_path_from_snapshot(session, revision) @@ -223,7 +223,7 @@ async def _restore_in_place_document( doc.unique_identifier_hash = generate_unique_identifier_hash( DocumentType.NOTE, virtual_path, - doc.search_space_id, + doc.workspace_id, ) chunks_before = revision.chunks_before @@ -285,15 +285,15 @@ async def _reinsert_document_from_revision( ), ) - search_space_id = revision.search_space_id + workspace_id = revision.workspace_id unique_identifier_hash = generate_unique_identifier_hash( DocumentType.NOTE, virtual_path, - search_space_id, + workspace_id, ) collision = await session.execute( select(Document.id).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.unique_identifier_hash == unique_identifier_hash, ) ) @@ -318,10 +318,10 @@ async def _reinsert_document_from_revision( document_type=DocumentType.NOTE, document_metadata=metadata, content=content, - content_hash=generate_content_hash(content, search_space_id), + content_hash=generate_content_hash(content, workspace_id), unique_identifier_hash=unique_identifier_hash, source_markdown=content, - search_space_id=search_space_id, + workspace_id=workspace_id, folder_id=revision.folder_id_before, updated_at=datetime.now(UTC), ) @@ -451,7 +451,7 @@ async def _reinsert_folder_from_revision( name=revision.name_before, parent_id=revision.parent_id_before, position=revision.position_before, - search_space_id=revision.search_space_id, + workspace_id=revision.workspace_id, updated_at=datetime.now(UTC), ) session.add(new_folder) @@ -608,7 +608,7 @@ async def revert_action( new_row = AgentActionLog( thread_id=action.thread_id, user_id=requester_user_id, - search_space_id=action.search_space_id, + workspace_id=action.workspace_id, turn_id=None, message_id=None, tool_name=f"_revert:{action.tool_name}", diff --git a/surfsense_backend/app/services/task_dispatcher.py b/surfsense_backend/app/services/task_dispatcher.py index 43957be03..b525f877b 100644 --- a/surfsense_backend/app/services/task_dispatcher.py +++ b/surfsense_backend/app/services/task_dispatcher.py @@ -16,7 +16,7 @@ class TaskDispatcher(Protocol): document_id: int, temp_path: str, filename: str, - search_space_id: int, + workspace_id: int, user_id: str, use_vision_llm: bool = False, processing_mode: str = "basic", @@ -32,7 +32,7 @@ class CeleryTaskDispatcher: document_id: int, temp_path: str, filename: str, - search_space_id: int, + workspace_id: int, user_id: str, use_vision_llm: bool = False, processing_mode: str = "basic", @@ -45,7 +45,7 @@ class CeleryTaskDispatcher: document_id=document_id, temp_path=temp_path, filename=filename, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, use_vision_llm=use_vision_llm, processing_mode=processing_mode, diff --git a/surfsense_backend/app/services/task_logging_service.py b/surfsense_backend/app/services/task_logging_service.py index 6ba9d0432..9b1ae23ab 100644 --- a/surfsense_backend/app/services/task_logging_service.py +++ b/surfsense_backend/app/services/task_logging_service.py @@ -13,9 +13,9 @@ logger = logging.getLogger(__name__) class TaskLoggingService: """Service for logging background tasks using the database Log model""" - def __init__(self, session: AsyncSession, search_space_id: int): + def __init__(self, session: AsyncSession, workspace_id: int): self.session = session - self.search_space_id = search_space_id + self.workspace_id = workspace_id async def log_task_start( self, @@ -47,7 +47,7 @@ class TaskLoggingService: message=message, source=source, log_metadata=log_metadata, - search_space_id=self.search_space_id, + workspace_id=self.workspace_id, ) self.session.add(log_entry) @@ -232,7 +232,7 @@ class TaskLoggingService: message=message, source=source, log_metadata=metadata or {}, - search_space_id=self.search_space_id, + workspace_id=self.workspace_id, ) self.session.add(log_entry) diff --git a/surfsense_backend/app/services/token_tracking_service.py b/surfsense_backend/app/services/token_tracking_service.py index d1a29b82a..2b4ec4273 100644 --- a/surfsense_backend/app/services/token_tracking_service.py +++ b/surfsense_backend/app/services/token_tracking_service.py @@ -518,7 +518,7 @@ async def record_token_usage( session: AsyncSession, *, usage_type: str, - search_space_id: int, + workspace_id: int, user_id: UUID, prompt_tokens: int = 0, completion_tokens: int = 0, @@ -546,7 +546,7 @@ async def record_token_usage( call_details=call_details, thread_id=thread_id, message_id=message_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) session.add(record) diff --git a/surfsense_backend/app/services/user_tool_allowlist.py b/surfsense_backend/app/services/user_tool_allowlist.py index 9b87fbdea..c0cf34394 100644 --- a/surfsense_backend/app/services/user_tool_allowlist.py +++ b/surfsense_backend/app/services/user_tool_allowlist.py @@ -1,6 +1,6 @@ """User-scoped trusted-tools list backed by ``SearchSourceConnector.config``. -Storage is per ``(user_id, search_space_id, connector_id)`` under +Storage is per ``(user_id, workspace_id, connector_id)`` under ``connector.config['trusted_tools']``. The list only ever encodes ``allow`` decisions; coded ``deny`` rules cannot be overridden here. """ @@ -108,7 +108,7 @@ async def fetch_user_allowlist_rulesets( session: AsyncSession, *, user_id: uuid.UUID, - search_space_id: int, + workspace_id: int, ) -> dict[str, Ruleset]: """Project the user's trusted tools into per-subagent ``allow`` rulesets. @@ -122,7 +122,7 @@ async def fetch_user_allowlist_rulesets( SearchSourceConnector.config, ).where( SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, ) ) diff --git a/surfsense_backend/app/services/wallet_credit.py b/surfsense_backend/app/services/wallet_credit.py new file mode 100644 index 000000000..cfac2a335 --- /dev/null +++ b/surfsense_backend/app/services/wallet_credit.py @@ -0,0 +1,104 @@ +"""Shared credit-wallet primitives for the flat-rate per-unit billers. + +Both :class:`app.services.web_crawl_credit_service.WebCrawlCreditService` and +:class:`app.services.platform_scrape_credit_service.PlatformScrapeCreditService` +follow the same gate -> pre-check -> post-charge model against the unified +``User.credit_micros_*`` wallet. The wallet math lives here once instead of +being copied per service: + +- :func:`spendable_micros` — ``balance - reserved`` (ungated by any flag) +- :func:`check_balance` — raise :class:`InsufficientCreditsError` if short +- :func:`apply_debit` — debit + commit + best-effort auto-reload + +``InsufficientCreditsError`` is re-exported from ``etl_credit_service`` so every +per-unit biller (ETL, crawl, platform scrape) shares one "out of credit" type — +the capability doors already catch exactly that one. +""" + +from uuid import UUID + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from app.services.etl_credit_service import InsufficientCreditsError + +__all__ = [ + "InsufficientCreditsError", + "apply_debit", + "check_balance", + "spendable_micros", +] + + +async def spendable_micros(session: AsyncSession, user_id: str | UUID) -> int: + """Raw ``balance - reserved`` read, **ungated** by any billing flag.""" + from app.db import User + + result = await session.execute( + select(User.credit_micros_balance, User.credit_micros_reserved).where( + User.id == user_id + ) + ) + row = result.first() + if not row: + raise ValueError(f"User with ID {user_id} not found") + + balance, reserved = row + return balance - reserved + + +async def check_balance( + session: AsyncSession, user_id: str | UUID, required_micros: int +) -> None: + """Raise :class:`InsufficientCreditsError` if the wallet can't cover + ``required_micros``. Generic and **ungated** — the caller decides when at + least one relevant biller is enabled. No-op for a non-positive requirement. + """ + if required_micros <= 0: + return + available = await spendable_micros(session, user_id) + if required_micros > available: + raise InsufficientCreditsError( + message=( + "This run would exceed your available credit. " + f"Available: ${available / 1_000_000:.2f}, " + f"estimated need: ${required_micros / 1_000_000:.2f}. " + "Add more credits to continue." + ), + balance_micros=available, + required_micros=required_micros, + ) + + +async def apply_debit( + session: AsyncSession, user_id: str | UUID, cost_micros: int +) -> int | None: + """Debit ``cost_micros`` from the wallet and commit. + + Flushes any audit row the caller staged before this, then fires a + best-effort auto-reload check. No-op for a non-positive cost; returns the + new balance in micros, or ``None`` when nothing was charged. + """ + if cost_micros <= 0: + return None + + from app.db import User + + result = await session.execute(select(User).where(User.id == user_id)) + user = result.unique().scalar_one_or_none() + if not user: + raise ValueError(f"User with ID {user_id} not found") + + user.credit_micros_balance -= cost_micros + await session.commit() + await session.refresh(user) + + # Best-effort: fire an auto-reload check if the balance dropped low. + try: + from app.services.auto_reload_service import maybe_trigger_auto_reload + + await maybe_trigger_auto_reload(user_id) + except Exception: + pass + + return user.credit_micros_balance diff --git a/surfsense_backend/app/services/web_crawl_credit_service.py b/surfsense_backend/app/services/web_crawl_credit_service.py new file mode 100644 index 000000000..9a6642bf9 --- /dev/null +++ b/surfsense_backend/app/services/web_crawl_credit_service.py @@ -0,0 +1,166 @@ +"""Service for charging the unified credit wallet per successful web crawl. + +Deliberately mirrors :class:`app.services.etl_credit_service.EtlCreditService`: +a simple **gate -> pre-check -> post-charge** model (no reserve/finalize), +because a crawl has no LLM token accumulator to settle against. The billable +unit is one *successful* crawl (``CrawlOutcomeStatus.SUCCESS``). + +The price is **fully config-driven** — there is no hardcoded rate anywhere. +``config.WEB_CRAWL_MICROS_PER_SUCCESS`` is the single source of truth (default +``1000`` micro-USD == $1 / 1000 crawls); retune it via env + restart, no code +change. When ``config.WEB_CRAWL_CREDIT_BILLING_ENABLED`` is False (the default +for self-hosted / OSS installs) every check/charge is a no-op, preserving the +prior effectively-free crawl behaviour. + +``billing_enabled()`` and ``successes_to_micros()`` are exposed as static +helpers so the capability biller (``app/capabilities/core/billing.py``, the +``web.crawl`` verb) can share the flag/price math when gating and charging a +crawl run. +""" + +from uuid import UUID + +from sqlalchemy.ext.asyncio import AsyncSession + +from app.config import config + +# Wallet math (spendable / check / debit) is shared with the platform-scrape +# biller — see app/services/wallet_credit.py. +from app.services import wallet_credit + +# Reuse the ETL service's error type so callers (and tests) have one exception +# to catch for "out of credit" across every per-unit wallet biller. +from app.services.etl_credit_service import InsufficientCreditsError + +__all__ = ["InsufficientCreditsError", "WebCrawlCreditService"] + + +class WebCrawlCreditService: + """Checks and charges the credit wallet for successful web crawls.""" + + def __init__(self, session: AsyncSession): + self.session = session + + @staticmethod + def billing_enabled() -> bool: + return config.WEB_CRAWL_CREDIT_BILLING_ENABLED + + @staticmethod + def successes_to_micros(successes: int) -> int: + """Convert a successful-crawl count to USD micro-credits. + + Reads ``config.WEB_CRAWL_MICROS_PER_SUCCESS`` — the single, env-tunable + source of truth for crawl price. + """ + return int(successes) * config.WEB_CRAWL_MICROS_PER_SUCCESS + + @staticmethod + def captcha_billing_enabled() -> bool: + """Phase 3d: whether captcha *solves* are metered. + + Independent of crawl billing: a deployment may bill solves without + billing crawls (or vice-versa). Off by default. + """ + return config.WEB_CRAWL_CAPTCHA_BILLING_ENABLED + + @staticmethod + def captcha_solves_to_micros(attempts: int) -> int: + """Convert a captcha *attempt* count to USD micro-credits. + + Reads ``config.WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE`` (single source of + truth). Charged per attempt — not per success — because the solver + vendor bills every attempt regardless of crawl outcome. + """ + return int(attempts) * config.WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE + + async def _spendable_micros(self, user_id: str | UUID) -> int: + """Raw ``balance - reserved`` read, **ungated** by any billing flag. + + Used by :meth:`check_balance` for combined (crawl + captcha) pre-flight, + where the relevant gate is decided by the caller, not by a single flag. + """ + return await wallet_credit.spendable_micros(self.session, user_id) + + async def get_available_micros(self, user_id: str | UUID) -> int | None: + """Return spendable credit in micro-USD (``balance - reserved``). + + Returns ``None`` when crawl billing is disabled, which callers treat as + "unlimited" (no blocking, no charge). + """ + if not config.WEB_CRAWL_CREDIT_BILLING_ENABLED: + return None + return await self._spendable_micros(user_id) + + async def check_balance(self, user_id: str | UUID, required_micros: int) -> None: + """Raise :class:`InsufficientCreditsError` if the wallet can't cover + ``required_micros`` (a combined crawl + worst-case captcha estimate). + + Generic and **ungated** — the caller computes ``required_micros`` from + whichever billers are enabled and only calls this when at least one is. + No-op for a non-positive requirement. + """ + await wallet_credit.check_balance(self.session, user_id, required_micros) + + async def check_credits( + self, user_id: str | UUID, estimated_successes: int = 1 + ) -> None: + """Raise :class:`InsufficientCreditsError` if the user can't afford + ``estimated_successes`` crawls. + + No-op when crawl billing is disabled. ``estimated_successes`` is a safe + upper bound (``len(urls)``) — actual successes are always <=, so a + passing pre-flight guarantees the wallet can never go negative. + """ + if not config.WEB_CRAWL_CREDIT_BILLING_ENABLED: + return + + required = self.successes_to_micros(estimated_successes) + available = await self.get_available_micros(user_id) + if available is None: + return + + if required > available: + raise InsufficientCreditsError( + message=( + "This crawl would exceed your available credit. " + f"Available: ${available / 1_000_000:.2f}. " + f"Up to {estimated_successes} URL(s) cost about " + f"${required / 1_000_000:.2f}. Add more credits to continue." + ), + balance_micros=available, + required_micros=required, + ) + + async def _apply_debit(self, user_id: str | UUID, cost_micros: int) -> int | None: + """Debit ``cost_micros`` from the wallet and commit (shared by all + charge paths). Flushes any audit row the caller staged before this. + + Mirrors ``EtlCreditService.charge_credits``' commit-then-refresh + + best-effort auto-reload. No-op for a non-positive cost. + """ + return await wallet_credit.apply_debit(self.session, user_id, cost_micros) + + async def charge_credits(self, user_id: str | UUID, successes: int) -> int | None: + """Debit the wallet for ``successes`` successful crawls. + + No-op when crawl billing is disabled or ``successes <= 0``. Returns the + new balance in micros, or ``None`` when nothing was charged. + """ + if not config.WEB_CRAWL_CREDIT_BILLING_ENABLED: + return None + if successes <= 0: + return None + return await self._apply_debit(user_id, self.successes_to_micros(successes)) + + async def charge_captcha(self, user_id: str | UUID, attempts: int) -> int | None: + """Debit the wallet for ``attempts`` captcha solves (Phase 3d). + + Per-attempt (not per-success): the solver charges for every attempt even + when the crawl ultimately fails. No-op when captcha billing is disabled + or ``attempts <= 0``. + """ + if not config.WEB_CRAWL_CAPTCHA_BILLING_ENABLED: + return None + if attempts <= 0: + return None + return await self._apply_debit(user_id, self.captcha_solves_to_micros(attempts)) diff --git a/surfsense_backend/app/services/web_search_service.py b/surfsense_backend/app/services/web_search_service.py deleted file mode 100644 index a5c776323..000000000 --- a/surfsense_backend/app/services/web_search_service.py +++ /dev/null @@ -1,290 +0,0 @@ -""" -Platform-level web search service backed by SearXNG. - -Redis is used only for result caching (graceful degradation if unavailable). -The circuit breaker is fully in-process — no external dependency, zero -latency overhead. -""" - -from __future__ import annotations - -import contextlib -import hashlib -import json -import logging -import threading -import time -from typing import Any -from urllib.parse import urljoin - -import httpx -import redis - -from app.config import config - -logger = logging.getLogger(__name__) - -_EMPTY_RESULT: dict[str, Any] = { - "id": 11, - "name": "Web Search", - "type": "SEARXNG_API", - "sources": [], -} - -# --------------------------------------------------------------------------- -# Redis — used only for result caching -# --------------------------------------------------------------------------- - -_redis_client: redis.Redis | None = None - - -def _get_redis() -> redis.Redis: - global _redis_client - if _redis_client is None: - _redis_client = redis.from_url(config.REDIS_APP_URL, decode_responses=True) - return _redis_client - - -# --------------------------------------------------------------------------- -# In-process Circuit Breaker (no Redis dependency) -# --------------------------------------------------------------------------- - -_CB_FAILURE_THRESHOLD = 5 -_CB_FAILURE_WINDOW_SECONDS = 60 -_CB_COOLDOWN_SECONDS = 30 - -_cb_lock = threading.Lock() -_cb_failure_count: int = 0 -_cb_last_failure_time: float = 0.0 -_cb_open_until: float = 0.0 - - -def _circuit_is_open() -> bool: - return time.monotonic() < _cb_open_until - - -def _record_failure() -> None: - global _cb_failure_count, _cb_last_failure_time, _cb_open_until - now = time.monotonic() - with _cb_lock: - if now - _cb_last_failure_time > _CB_FAILURE_WINDOW_SECONDS: - _cb_failure_count = 0 - _cb_failure_count += 1 - _cb_last_failure_time = now - if _cb_failure_count >= _CB_FAILURE_THRESHOLD: - _cb_open_until = now + _CB_COOLDOWN_SECONDS - logger.warning( - "Circuit breaker OPENED after %d failures — " - "SearXNG calls paused for %ds", - _cb_failure_count, - _CB_COOLDOWN_SECONDS, - ) - - -def _record_success() -> None: - global _cb_failure_count, _cb_open_until - with _cb_lock: - _cb_failure_count = 0 - _cb_open_until = 0.0 - - -# --------------------------------------------------------------------------- -# Result Caching (Redis, graceful degradation) -# --------------------------------------------------------------------------- - -_CACHE_TTL_SECONDS = 300 # 5 minutes -_CACHE_PREFIX = "websearch:cache:" - - -def _cache_key(query: str, engines: str | None, language: str | None) -> str: - raw = f"{query}|{engines or ''}|{language or ''}" - digest = hashlib.sha256(raw.encode()).hexdigest()[:24] - return f"{_CACHE_PREFIX}{digest}" - - -def _cache_get(key: str) -> dict | None: - try: - data = _get_redis().get(key) - if data: - return json.loads(data) - except (redis.RedisError, json.JSONDecodeError): - pass - return None - - -def _cache_set(key: str, value: dict) -> None: - with contextlib.suppress(redis.RedisError): - _get_redis().setex(key, _CACHE_TTL_SECONDS, json.dumps(value)) - - -# --------------------------------------------------------------------------- -# Public API -# --------------------------------------------------------------------------- - - -def is_available() -> bool: - """Return ``True`` when the platform SearXNG host is configured.""" - return bool(config.SEARXNG_DEFAULT_HOST) - - -async def health_check() -> dict[str, Any]: - """Ping the SearXNG ``/healthz`` endpoint and return status info.""" - host = config.SEARXNG_DEFAULT_HOST - if not host: - return {"status": "unavailable", "error": "SEARXNG_DEFAULT_HOST not set"} - - healthz_url = urljoin(host if host.endswith("/") else f"{host}/", "healthz") - t0 = time.perf_counter() - try: - async with httpx.AsyncClient(timeout=5.0, verify=False) as client: - resp = await client.get(healthz_url) - resp.raise_for_status() - elapsed_ms = round((time.perf_counter() - t0) * 1000) - return { - "status": "healthy", - "response_time_ms": elapsed_ms, - "circuit_breaker": "open" if _circuit_is_open() else "closed", - } - except Exception as exc: - elapsed_ms = round((time.perf_counter() - t0) * 1000) - return { - "status": "unhealthy", - "error": str(exc), - "response_time_ms": elapsed_ms, - "circuit_breaker": "open" if _circuit_is_open() else "closed", - } - - -async def search( - query: str, - top_k: int = 20, - *, - engines: str | None = None, - language: str | None = None, - safesearch: int | None = None, -) -> tuple[dict[str, Any], list[dict[str, Any]]]: - """Execute a web search against the platform SearXNG instance. - - Returns the standard ``(result_object, documents)`` tuple expected by - ``ConnectorService.search_searxng``. - """ - host = config.SEARXNG_DEFAULT_HOST - if not host: - return dict(_EMPTY_RESULT), [] - - if _circuit_is_open(): - logger.info("Web search skipped — circuit breaker is open") - result = dict(_EMPTY_RESULT) - result["error"] = "Web search temporarily unavailable (circuit open)" - result["status"] = "degraded" - return result, [] - - ck = _cache_key(query, engines, language) - cached = _cache_get(ck) - if cached is not None: - logger.debug("Web search cache HIT for query=%r", query[:60]) - return cached["result"], cached["documents"] - - params: dict[str, Any] = { - "q": query, - "format": "json", - "limit": max(1, min(top_k, 50)), - } - if engines: - params["engines"] = engines - if language: - params["language"] = language - if safesearch is not None and 0 <= safesearch <= 2: - params["safesearch"] = safesearch - - searx_endpoint = urljoin(host if host.endswith("/") else f"{host}/", "search") - headers = {"Accept": "application/json"} - - data: dict[str, Any] | None = None - last_error: Exception | None = None - - for attempt in range(2): - try: - async with httpx.AsyncClient(timeout=15.0, verify=False) as client: - response = await client.get( - searx_endpoint, - params=params, - headers=headers, - ) - response.raise_for_status() - data = response.json() - break - except (httpx.HTTPStatusError, httpx.TimeoutException) as exc: - last_error = exc - if attempt == 0 and ( - isinstance(exc, httpx.TimeoutException) - or ( - isinstance(exc, httpx.HTTPStatusError) - and exc.response.status_code >= 500 - ) - ): - continue - break - except httpx.HTTPError as exc: - last_error = exc - break - except ValueError as exc: - last_error = exc - break - - if data is None: - _record_failure() - logger.warning("Web search failed after retries: %s", last_error) - return dict(_EMPTY_RESULT), [] - - _record_success() - - searx_results = data.get("results", []) - if not searx_results: - return dict(_EMPTY_RESULT), [] - - sources_list: list[dict[str, Any]] = [] - documents: list[dict[str, Any]] = [] - - for idx, result in enumerate(searx_results): - source_id = 200_000 + idx - description = result.get("content") or result.get("snippet") or "" - - sources_list.append( - { - "id": source_id, - "title": result.get("title", "Web Search Result"), - "description": description, - "url": result.get("url", ""), - } - ) - - documents.append( - { - "chunk_id": source_id, - "content": description or result.get("content", ""), - "score": result.get("score", 0.0), - "document": { - "id": source_id, - "title": result.get("title", "Web Search Result"), - "document_type": "SEARXNG_API", - "metadata": { - "url": result.get("url", ""), - "engines": result.get("engines", []), - "category": result.get("category"), - "source": "SEARXNG_API", - }, - }, - } - ) - - result_object: dict[str, Any] = { - "id": 11, - "name": "Web Search", - "type": "SEARXNG_API", - "sources": sources_list, - } - - _cache_set(ck, {"result": result_object, "documents": documents}) - - return result_object, documents diff --git a/surfsense_backend/app/session_events.py b/surfsense_backend/app/session_events.py index 048df2b46..31a03e9f3 100644 --- a/surfsense_backend/app/session_events.py +++ b/surfsense_backend/app/session_events.py @@ -38,7 +38,7 @@ def _after_flush(session: Session, flush_context: object) -> None: result = payload_if_entered_folder( document_id=obj.id, - search_space_id=obj.search_space_id, + workspace_id=obj.workspace_id, new_folder_id=new_folder_id, previous_folder_id=previous_folder_id, folder_id_changed=True, @@ -72,7 +72,7 @@ def _after_commit(session: Session) -> None: default_bus.publish( item["event_type"], item["payload"], - search_space_id=item["search_space_id"], + workspace_id=item["workspace_id"], ) ) for item in pending diff --git a/surfsense_backend/app/tasks/celery_tasks/__init__.py b/surfsense_backend/app/tasks/celery_tasks/__init__.py index a1113884f..f2401d44e 100644 --- a/surfsense_backend/app/tasks/celery_tasks/__init__.py +++ b/surfsense_backend/app/tasks/celery_tasks/__init__.py @@ -94,6 +94,21 @@ def _dispose_shared_db_engine(loop: asyncio.AbstractEventLoop) -> None: logger.warning("Shared DB engine dispose() failed", exc_info=True) +def _dispose_shared_checkpointer_pool(loop: asyncio.AbstractEventLoop) -> None: + """Drop the shared checkpointer pool so the next task opens a fresh one. + + The durable ``AsyncPostgresSaver`` pool binds asyncpg connections to the + loop that opened them; a later task on a fresh loop stalls on a stale + connection (``PoolTimeout``). Failure is logged, not raised. + """ + try: + from app.agents.chat.runtime.checkpointer import close_checkpointer + + loop.run_until_complete(close_checkpointer()) + except Exception: + logger.warning("Shared checkpointer pool dispose() failed", exc_info=True) + + T = TypeVar("T") @@ -129,11 +144,13 @@ def run_async_celery_task[T](coro_factory: Callable[[], Awaitable[T]]) -> T: # Defense-in-depth: prior task may have crashed before # disposing. Idempotent — no-op if pool is already empty. _dispose_shared_db_engine(loop) + _dispose_shared_checkpointer_pool(loop) return loop.run_until_complete(coro_factory()) finally: # Drop any connections this task opened so they don't leak # into the next task's loop. _dispose_shared_db_engine(loop) + _dispose_shared_checkpointer_pool(loop) with contextlib.suppress(Exception): loop.run_until_complete(loop.shutdown_asyncgens()) with contextlib.suppress(Exception): diff --git a/surfsense_backend/app/tasks/celery_tasks/connector_tasks.py b/surfsense_backend/app/tasks/celery_tasks/connector_tasks.py index 50f757473..ec078e031 100644 --- a/surfsense_backend/app/tasks/celery_tasks/connector_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/connector_tasks.py @@ -64,7 +64,7 @@ def _handle_greenlet_error(e: Exception, task_name: str, connector_id: int) -> N f"GREENLET ERROR in {task_name} for connector {connector_id}: {error_str}\n" f"This error typically occurs when SQLAlchemy tries to lazy-load a relationship " f"outside of an async context. Check for:\n" - f"1. Accessing relationship attributes (e.g., document.chunks, connector.search_space) " + f"1. Accessing relationship attributes (e.g., document.chunks, connector.workspace) " f"without using selectinload() or joinedload()\n" f"2. Accessing model attributes after the session is closed\n" f"3. Passing ORM objects between different async contexts\n" @@ -81,7 +81,7 @@ def _handle_greenlet_error(e: Exception, task_name: str, connector_id: int) -> N def index_notion_pages_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -90,7 +90,7 @@ def index_notion_pages_task( try: return run_async_celery_task( lambda: _index_notion_pages( - connector_id, search_space_id, user_id, start_date, end_date + connector_id, workspace_id, user_id, start_date, end_date ) ) except Exception as e: @@ -100,7 +100,7 @@ def index_notion_pages_task( async def _index_notion_pages( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -112,7 +112,7 @@ async def _index_notion_pages( async with get_celery_session_maker()() as session: await run_notion_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) @@ -120,7 +120,7 @@ async def _index_notion_pages( def index_github_repos_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -128,14 +128,14 @@ def index_github_repos_task( """Celery task to index GitHub repositories.""" return run_async_celery_task( lambda: _index_github_repos( - connector_id, search_space_id, user_id, start_date, end_date + connector_id, workspace_id, user_id, start_date, end_date ) ) async def _index_github_repos( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -147,7 +147,7 @@ async def _index_github_repos( async with get_celery_session_maker()() as session: await run_github_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) @@ -155,7 +155,7 @@ async def _index_github_repos( def index_confluence_pages_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -163,14 +163,14 @@ def index_confluence_pages_task( """Celery task to index Confluence pages.""" return run_async_celery_task( lambda: _index_confluence_pages( - connector_id, search_space_id, user_id, start_date, end_date + connector_id, workspace_id, user_id, start_date, end_date ) ) async def _index_confluence_pages( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -182,7 +182,7 @@ async def _index_confluence_pages( async with get_celery_session_maker()() as session: await run_confluence_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) @@ -190,7 +190,7 @@ async def _index_confluence_pages( def index_google_calendar_events_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -199,7 +199,7 @@ def index_google_calendar_events_task( try: return run_async_celery_task( lambda: _index_google_calendar_events( - connector_id, search_space_id, user_id, start_date, end_date + connector_id, workspace_id, user_id, start_date, end_date ) ) except Exception as e: @@ -209,7 +209,7 @@ def index_google_calendar_events_task( async def _index_google_calendar_events( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -221,7 +221,7 @@ async def _index_google_calendar_events( async with get_celery_session_maker()() as session: await run_google_calendar_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) @@ -229,7 +229,7 @@ async def _index_google_calendar_events( def index_google_gmail_messages_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -237,14 +237,14 @@ def index_google_gmail_messages_task( """Celery task to index Google Gmail messages.""" return run_async_celery_task( lambda: _index_google_gmail_messages( - connector_id, search_space_id, user_id, start_date, end_date + connector_id, workspace_id, user_id, start_date, end_date ) ) async def _index_google_gmail_messages( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -256,7 +256,7 @@ async def _index_google_gmail_messages( async with get_celery_session_maker()() as session: await run_google_gmail_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) @@ -264,7 +264,7 @@ async def _index_google_gmail_messages( def index_google_drive_files_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, # Dictionary with 'folders', 'files', and 'indexing_options' ): @@ -272,7 +272,7 @@ def index_google_drive_files_task( return run_async_celery_task( lambda: _index_google_drive_files( connector_id, - search_space_id, + workspace_id, user_id, items_dict, ) @@ -281,7 +281,7 @@ def index_google_drive_files_task( async def _index_google_drive_files( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, # Dictionary with 'folders', 'files', and 'indexing_options' ): @@ -294,7 +294,7 @@ async def _index_google_drive_files( await run_google_drive_indexing( session, connector_id, - search_space_id, + workspace_id, user_id, items_dict, ) @@ -304,7 +304,7 @@ async def _index_google_drive_files( def index_onedrive_files_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, ): @@ -312,7 +312,7 @@ def index_onedrive_files_task( return run_async_celery_task( lambda: _index_onedrive_files( connector_id, - search_space_id, + workspace_id, user_id, items_dict, ) @@ -321,7 +321,7 @@ def index_onedrive_files_task( async def _index_onedrive_files( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, ): @@ -334,7 +334,7 @@ async def _index_onedrive_files( await run_onedrive_indexing( session, connector_id, - search_space_id, + workspace_id, user_id, items_dict, ) @@ -344,7 +344,7 @@ async def _index_onedrive_files( def index_dropbox_files_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, ): @@ -352,7 +352,7 @@ def index_dropbox_files_task( return run_async_celery_task( lambda: _index_dropbox_files( connector_id, - search_space_id, + workspace_id, user_id, items_dict, ) @@ -361,7 +361,7 @@ def index_dropbox_files_task( async def _index_dropbox_files( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, ): @@ -374,7 +374,7 @@ async def _index_dropbox_files( await run_dropbox_indexing( session, connector_id, - search_space_id, + workspace_id, user_id, items_dict, ) @@ -384,7 +384,7 @@ async def _index_dropbox_files( def index_elasticsearch_documents_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -392,14 +392,14 @@ def index_elasticsearch_documents_task( """Celery task to index Elasticsearch documents.""" return run_async_celery_task( lambda: _index_elasticsearch_documents( - connector_id, search_space_id, user_id, start_date, end_date + connector_id, workspace_id, user_id, start_date, end_date ) ) async def _index_elasticsearch_documents( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -411,46 +411,7 @@ async def _index_elasticsearch_documents( async with get_celery_session_maker()() as session: await run_elasticsearch_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date - ) - - -@celery_app.task(name="index_crawled_urls", bind=True) -def index_crawled_urls_task( - self, - connector_id: int, - search_space_id: int, - user_id: str, - start_date: str, - end_date: str, -): - """Celery task to index Web page Urls.""" - try: - return run_async_celery_task( - lambda: _index_crawled_urls( - connector_id, search_space_id, user_id, start_date, end_date - ) - ) - except Exception as e: - _handle_greenlet_error(e, "index_crawled_urls", connector_id) - raise - - -async def _index_crawled_urls( - connector_id: int, - search_space_id: int, - user_id: str, - start_date: str, - end_date: str, -): - """Index Web page Urls with new session.""" - from app.routes.search_source_connectors_routes import ( - run_web_page_indexing, - ) - - async with get_celery_session_maker()() as session: - await run_web_page_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) @@ -458,7 +419,7 @@ async def _index_crawled_urls( def index_bookstack_pages_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -466,14 +427,14 @@ def index_bookstack_pages_task( """Celery task to index BookStack pages.""" return run_async_celery_task( lambda: _index_bookstack_pages( - connector_id, search_space_id, user_id, start_date, end_date + connector_id, workspace_id, user_id, start_date, end_date ) ) async def _index_bookstack_pages( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -485,7 +446,7 @@ async def _index_bookstack_pages( async with get_celery_session_maker()() as session: await run_bookstack_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) @@ -493,7 +454,7 @@ async def _index_bookstack_pages( def index_composio_connector_task( self, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None, end_date: str | None, @@ -501,14 +462,14 @@ def index_composio_connector_task( """Celery task to index Composio connector content (Google Drive, Gmail, Calendar via Composio).""" return run_async_celery_task( lambda: _index_composio_connector( - connector_id, search_space_id, user_id, start_date, end_date + connector_id, workspace_id, user_id, start_date, end_date ) ) async def _index_composio_connector( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None, end_date: str | None, @@ -521,5 +482,5 @@ async def _index_composio_connector( async with get_celery_session_maker()() as session: await run_composio_indexing( - session, connector_id, search_space_id, user_id, start_date, end_date + session, connector_id, workspace_id, user_id, start_date, end_date ) diff --git a/surfsense_backend/app/tasks/celery_tasks/document_reindex_tasks.py b/surfsense_backend/app/tasks/celery_tasks/document_reindex_tasks.py index d36a7c05f..240e0b69c 100644 --- a/surfsense_backend/app/tasks/celery_tasks/document_reindex_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/document_reindex_tasks.py @@ -41,7 +41,7 @@ async def _reindex_document(document_id: int, user_id: str): logger.error(f"Document {document_id} not found") return - task_logger = TaskLoggingService(session, document.search_space_id) + task_logger = TaskLoggingService(session, document.workspace_id) log_entry = await task_logger.log_task_start( task_name="document_reindex", diff --git a/surfsense_backend/app/tasks/celery_tasks/document_tasks.py b/surfsense_backend/app/tasks/celery_tasks/document_tasks.py index 4d71d6c9a..e2ca5345e 100644 --- a/surfsense_backend/app/tasks/celery_tasks/document_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/document_tasks.py @@ -4,7 +4,6 @@ import asyncio import contextlib import logging import os -import time from uuid import UUID from app.celery_app import celery_app @@ -19,7 +18,6 @@ from app.tasks.connector_indexers.local_folder_indexer import ( ) from app.tasks.document_processors import ( add_extension_received_document, - add_youtube_video_document, ) logger = logging.getLogger(__name__) @@ -210,18 +208,16 @@ async def _delete_folder_documents( retry_backoff_max=300, max_retries=5, ) -def delete_search_space_task(self, search_space_id: int): - """Celery task to delete a search space and heavy child rows in batches.""" - return run_async_celery_task( - lambda: _delete_search_space_background(search_space_id) - ) +def delete_workspace_task(self, workspace_id: int): + """Celery task to delete a workspace and heavy child rows in batches.""" + return run_async_celery_task(lambda: _delete_workspace_background(workspace_id)) -async def _delete_search_space_background(search_space_id: int) -> None: - """Delete chunks/docs in batches first, then delete the search space.""" +async def _delete_workspace_background(workspace_id: int) -> None: + """Delete chunks/docs in batches first, then delete the workspace.""" from sqlalchemy import delete as sa_delete, select - from app.db import Chunk, Document, SearchSpace + from app.db import Chunk, Document, Workspace from app.file_storage.service import purge_document_blobs async with get_celery_session_maker()() as session: @@ -231,7 +227,7 @@ async def _delete_search_space_background(search_space_id: int) -> None: chunk_ids_result = await session.execute( select(Chunk.id) .join(Document, Chunk.document_id == Document.id) - .where(Document.search_space_id == search_space_id) + .where(Document.workspace_id == workspace_id) .limit(batch_size) ) chunk_ids = chunk_ids_result.scalars().all() @@ -243,7 +239,7 @@ async def _delete_search_space_background(search_space_id: int) -> None: while True: doc_ids_result = await session.execute( select(Document.id) - .where(Document.search_space_id == search_space_id) + .where(Document.workspace_id == workspace_id) .limit(batch_size) ) doc_ids = doc_ids_result.scalars().all() @@ -254,7 +250,7 @@ async def _delete_search_space_background(search_space_id: int) -> None: await session.execute(sa_delete(Document).where(Document.id.in_(doc_ids))) await session.commit() - space = await session.get(SearchSpace, search_space_id) + space = await session.get(Workspace, workspace_id) if space: await session.delete(space) await session.commit() @@ -262,25 +258,25 @@ async def _delete_search_space_background(search_space_id: int) -> None: @celery_app.task(name="process_extension_document", bind=True) def process_extension_document_task( - self, individual_document_dict, search_space_id: int, user_id: str + self, individual_document_dict, workspace_id: int, user_id: str ): """ Celery task to process extension document. Args: individual_document_dict: Document data as dictionary - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user """ return run_async_celery_task( lambda: _process_extension_document( - individual_document_dict, search_space_id, user_id + individual_document_dict, workspace_id, user_id ) ) async def _process_extension_document( - individual_document_dict, search_space_id: int, user_id: str + individual_document_dict, workspace_id: int, user_id: str ): """Process extension document with new session.""" from pydantic import BaseModel, ConfigDict, Field @@ -303,7 +299,7 @@ async def _process_extension_document( individual_document = IndividualDocument(**individual_document_dict) async with get_celery_session_maker()() as session: - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Truncate title for notification display page_title = individual_document.metadata.VisitedWebPageTitle[:50] @@ -317,7 +313,7 @@ async def _process_extension_document( user_id=UUID(user_id), document_type="EXTENSION", document_name=page_title, - search_space_id=search_space_id, + workspace_id=workspace_id, ) ) @@ -343,7 +339,7 @@ async def _process_extension_document( ) result = await add_extension_received_document( - session, individual_document, search_space_id, user_id + session, individual_document, workspace_id, user_id ) if result: @@ -405,134 +401,9 @@ async def _process_extension_document( raise -@celery_app.task(name="process_youtube_video", bind=True) -def process_youtube_video_task(self, url: str, search_space_id: int, user_id: str): - """ - Celery task to process YouTube video. - - Args: - url: YouTube video URL - search_space_id: ID of the search space - user_id: ID of the user - """ - return run_async_celery_task( - lambda: _process_youtube_video(url, search_space_id, user_id) - ) - - -async def _process_youtube_video(url: str, search_space_id: int, user_id: str): - """Process YouTube video with new session.""" - async with get_celery_session_maker()() as session: - task_logger = TaskLoggingService(session, search_space_id) - - # Extract video title from URL for notification (will be updated later) - video_name = url.split("v=")[-1][:11] if "v=" in url else url - - # Create notification for document processing - notification = ( - await NotificationService.document_processing.notify_processing_started( - session=session, - user_id=UUID(user_id), - document_type="YOUTUBE_VIDEO", - document_name=f"YouTube: {video_name}", - search_space_id=search_space_id, - ) - ) - - # Start Redis heartbeat for stale task detection - _start_heartbeat(notification.id) - heartbeat_task = asyncio.create_task(_run_heartbeat_loop(notification.id)) - - log_entry = await task_logger.log_task_start( - task_name="process_youtube_video", - source="document_processor", - message=f"Starting YouTube video processing for: {url}", - metadata={"document_type": "YOUTUBE_VIDEO", "url": url, "user_id": user_id}, - ) - - try: - # Update notification: parsing (fetching transcript) - await NotificationService.document_processing.notify_processing_progress( - session, - notification, - stage="parsing", - stage_message="Fetching video transcript", - ) - - result = await add_youtube_video_document( - session, url, search_space_id, user_id, notification=notification - ) - - if result: - await task_logger.log_task_success( - log_entry, - f"Successfully processed YouTube video: {result.title}", - { - "document_id": result.id, - "video_id": result.document_metadata.get("video_id"), - "content_hash": result.content_hash, - }, - ) - - # Update notification on success - await ( - NotificationService.document_processing.notify_processing_completed( - session=session, - notification=notification, - document_id=result.id, - chunks_count=None, - ) - ) - else: - await task_logger.log_task_success( - log_entry, - f"YouTube video document already exists (duplicate): {url}", - {"duplicate_detected": True}, - ) - - # Update notification for duplicate - await ( - NotificationService.document_processing.notify_processing_completed( - session=session, - notification=notification, - error_message="Video already exists (duplicate)", - ) - ) - except Exception as e: - await task_logger.log_task_failure( - log_entry, - f"Failed to process YouTube video: {url}", - str(e), - {"error_type": type(e).__name__}, - ) - - # Update notification on failure - wrapped in try-except to ensure it doesn't fail silently - try: - # Refresh notification to ensure it's not stale after any rollback - await session.refresh(notification) - await ( - NotificationService.document_processing.notify_processing_completed( - session=session, - notification=notification, - error_message=str(e)[:100], - ) - ) - except Exception as notif_error: - logger.error( - f"Failed to update notification on failure: {notif_error!s}" - ) - - logger.error(f"Error processing YouTube video: {e!s}") - raise - finally: - # Stop heartbeat — key deleted on success, expires on crash - heartbeat_task.cancel() - _stop_heartbeat(notification.id) - - @celery_app.task(name="process_file_upload", bind=True) def process_file_upload_task( - self, file_path: str, filename: str, search_space_id: int, user_id: str + self, file_path: str, filename: str, workspace_id: int, user_id: str ): """ Celery task to process uploaded file. @@ -540,14 +411,14 @@ def process_file_upload_task( Args: file_path: Path to the uploaded file filename: Original filename - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user """ import traceback logger.info( f"[process_file_upload] Task started - file: {filename}, " - f"search_space_id: {search_space_id}, user_id: {user_id}" + f"workspace_id: {workspace_id}, user_id: {user_id}" ) logger.info(f"[process_file_upload] File path: {file_path}") @@ -567,7 +438,7 @@ def process_file_upload_task( try: run_async_celery_task( - lambda: _process_file_upload(file_path, filename, search_space_id, user_id) + lambda: _process_file_upload(file_path, filename, workspace_id, user_id) ) logger.info( f"[process_file_upload] Task completed successfully for: {filename}" @@ -581,7 +452,7 @@ def process_file_upload_task( async def _process_file_upload( - file_path: str, filename: str, search_space_id: int, user_id: str + file_path: str, filename: str, workspace_id: int, user_id: str ): """Process file upload with new session.""" from app.tasks.document_processors.file_processors import process_file_in_background @@ -590,7 +461,7 @@ async def _process_file_upload( async with get_celery_session_maker()() as session: logger.info(f"[_process_file_upload] Database session created for: {filename}") - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Get file size for notification metadata try: @@ -611,7 +482,7 @@ async def _process_file_upload( user_id=UUID(user_id), document_type="FILE", document_name=filename, - search_space_id=search_space_id, + workspace_id=workspace_id, file_size=file_size, ) ) @@ -642,7 +513,7 @@ async def _process_file_upload( result = await process_file_in_background( file_path, filename, - search_space_id, + workspace_id, user_id, session, task_logger, @@ -709,7 +580,7 @@ async def _process_file_upload( user_id=UUID(user_id), document_name=filename, document_type="FILE", - search_space_id=search_space_id, + workspace_id=workspace_id, balance_micros=credit_error.balance_micros, required_micros=credit_error.required_micros, ) @@ -770,7 +641,7 @@ def process_file_upload_with_document_task( document_id: int, temp_path: str, filename: str, - search_space_id: int, + workspace_id: int, user_id: str, use_vision_llm: bool = False, processing_mode: str = "basic", @@ -786,14 +657,14 @@ def process_file_upload_with_document_task( document_id: ID of the pending document created in Phase 1 temp_path: Path to the uploaded file filename: Original filename - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user """ import traceback logger.info( f"[process_file_upload_with_document] Task started - document_id: {document_id}, " - f"file: {filename}, search_space_id: {search_space_id}" + f"file: {filename}, workspace_id: {workspace_id}" ) # Check if file exists and is accessible @@ -817,7 +688,7 @@ def process_file_upload_with_document_task( document_id, temp_path, filename, - search_space_id, + workspace_id, user_id, use_vision_llm=use_vision_llm, processing_mode=processing_mode, @@ -852,7 +723,7 @@ async def _process_file_with_document( document_id: int, temp_path: str, filename: str, - search_space_id: int, + workspace_id: int, user_id: str, use_vision_llm: bool = False, processing_mode: str = "basic", @@ -879,7 +750,7 @@ async def _process_file_with_document( logger.info( f"[_process_file_with_document] Database session created for: {filename}" ) - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Get the document document = await session.get(Document, document_id) @@ -910,7 +781,7 @@ async def _process_file_with_document( user_id=UUID(user_id), document_type="FILE", document_name=filename, - search_space_id=search_space_id, + workspace_id=workspace_id, file_size=file_size, ) ) @@ -958,7 +829,7 @@ async def _process_file_with_document( document=document, file_path=temp_path, filename=filename, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, session=session, task_logger=task_logger, @@ -1033,7 +904,7 @@ async def _process_file_with_document( user_id=UUID(user_id), document_name=filename, document_type="FILE", - search_space_id=search_space_id, + workspace_id=workspace_id, balance_micros=credit_error.balance_micros, required_micros=credit_error.required_micros, ) @@ -1092,7 +963,7 @@ def process_circleback_meeting_task( meeting_name: str, markdown_content: str, metadata: dict, - search_space_id: int, + workspace_id: int, connector_id: int | None = None, ): """ @@ -1103,7 +974,7 @@ def process_circleback_meeting_task( meeting_name: Name of the meeting markdown_content: Meeting content formatted as markdown metadata: Meeting metadata dictionary - search_space_id: ID of the search space + workspace_id: ID of the workspace connector_id: ID of the Circleback connector (for deletion support) """ return run_async_celery_task( @@ -1112,7 +983,7 @@ def process_circleback_meeting_task( meeting_name, markdown_content, metadata, - search_space_id, + workspace_id, connector_id, ) ) @@ -1123,7 +994,7 @@ async def _process_circleback_meeting( meeting_name: str, markdown_content: str, metadata: dict, - search_space_id: int, + workspace_id: int, connector_id: int | None = None, ): """Process Circleback meeting with new session.""" @@ -1132,7 +1003,7 @@ async def _process_circleback_meeting( ) async with get_celery_session_maker()() as session: - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Get user_id from metadata if available user_id = metadata.get("user_id") @@ -1147,7 +1018,7 @@ async def _process_circleback_meeting( user_id=UUID(user_id), document_type="CIRCLEBACK", document_name=f"Meeting: {meeting_name[:40]}", - search_space_id=search_space_id, + workspace_id=workspace_id, ) ) @@ -1185,7 +1056,7 @@ async def _process_circleback_meeting( meeting_name=meeting_name, markdown_content=markdown_content, metadata=metadata, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, ) @@ -1261,7 +1132,7 @@ async def _process_circleback_meeting( @celery_app.task(name="index_local_folder", bind=True) def index_local_folder_task( self, - search_space_id: int, + workspace_id: int, user_id: str, folder_path: str, folder_name: str, @@ -1273,7 +1144,7 @@ def index_local_folder_task( """Celery task to index a local folder. Config is passed directly — no connector row.""" return run_async_celery_task( lambda: _index_local_folder_async( - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, folder_path=folder_path, folder_name=folder_name, @@ -1286,7 +1157,7 @@ def index_local_folder_task( async def _index_local_folder_async( - search_space_id: int, + workspace_id: int, user_id: str, folder_path: str, folder_name: str, @@ -1317,7 +1188,7 @@ async def _index_local_folder_async( user_id=UUID(user_id), document_type="LOCAL_FOLDER_FILE", document_name=doc_name, - search_space_id=search_space_id, + workspace_id=workspace_id, ) ) notification_id = notification.id @@ -1343,7 +1214,7 @@ async def _index_local_folder_async( try: _indexed, _skipped_or_failed, _rfid, err = await index_local_folder( session=session, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, folder_path=folder_path, folder_name=folder_name, @@ -1402,7 +1273,7 @@ async def _index_local_folder_async( @celery_app.task(name="index_uploaded_folder_files", bind=True) def index_uploaded_folder_files_task( self, - search_space_id: int, + workspace_id: int, user_id: str, folder_name: str, root_folder_id: int, @@ -1413,7 +1284,7 @@ def index_uploaded_folder_files_task( """Celery task to index files uploaded from the desktop app.""" return run_async_celery_task( lambda: _index_uploaded_folder_files_async( - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, folder_name=folder_name, root_folder_id=root_folder_id, @@ -1425,7 +1296,7 @@ def index_uploaded_folder_files_task( async def _index_uploaded_folder_files_async( - search_space_id: int, + workspace_id: int, user_id: str, folder_name: str, root_folder_id: int, @@ -1449,7 +1320,7 @@ async def _index_uploaded_folder_files_async( user_id=UUID(user_id), document_type="LOCAL_FOLDER_FILE", document_name=doc_name, - search_space_id=search_space_id, + workspace_id=workspace_id, ) ) notification_id = notification.id @@ -1474,7 +1345,7 @@ async def _index_uploaded_folder_files_async( try: _indexed, _failed, err = await index_uploaded_files( session=session, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, folder_name=folder_name, root_folder_id=root_folder_id, @@ -1522,109 +1393,3 @@ async def _index_uploaded_folder_files_async( heartbeat_task.cancel() if notification_id is not None: _stop_heartbeat(notification_id) - - -# ===== AI File Sort tasks ===== - -AI_SORT_LOCK_TTL_SECONDS = 600 # 10 minutes -_ai_sort_redis = None - - -def _get_ai_sort_redis(): - import redis - - global _ai_sort_redis - if _ai_sort_redis is None: - _ai_sort_redis = redis.from_url(config.REDIS_APP_URL, decode_responses=True) - return _ai_sort_redis - - -def _ai_sort_lock_key(search_space_id: int) -> str: - return f"ai_sort:search_space:{search_space_id}:lock" - - -@celery_app.task(name="ai_sort_search_space", bind=True, max_retries=1) -def ai_sort_search_space_task(self, search_space_id: int, user_id: str): - """Full AI sort for all documents in a search space.""" - return run_async_celery_task( - lambda: _ai_sort_search_space_async(search_space_id, user_id) - ) - - -async def _ai_sort_search_space_async(search_space_id: int, user_id: str): - r = _get_ai_sort_redis() - lock_key = _ai_sort_lock_key(search_space_id) - - if not r.set(lock_key, "running", nx=True, ex=AI_SORT_LOCK_TTL_SECONDS): - logger.info( - "AI sort already running for search_space=%d, skipping", - search_space_id, - ) - return - - t_start = time.perf_counter() - try: - from app.services.ai_file_sort_service import ai_sort_all_documents - from app.services.llm_service import get_agent_llm - - async with get_celery_session_maker()() as session: - llm = await get_agent_llm(session, search_space_id, disable_streaming=True) - if llm is None: - logger.warning( - "No LLM configured for search_space=%d, skipping AI sort", - search_space_id, - ) - return - - sorted_count, failed_count = await ai_sort_all_documents( - session, search_space_id, llm - ) - elapsed = time.perf_counter() - t_start - logger.info( - "AI sort search_space=%d done in %.1fs: sorted=%d failed=%d", - search_space_id, - elapsed, - sorted_count, - failed_count, - ) - finally: - r.delete(lock_key) - - -@celery_app.task( - name="ai_sort_document", bind=True, max_retries=2, default_retry_delay=10 -) -def ai_sort_document_task(self, search_space_id: int, user_id: str, document_id: int): - """Incremental AI sort for a single document after indexing.""" - return run_async_celery_task( - lambda: _ai_sort_document_async(search_space_id, user_id, document_id) - ) - - -async def _ai_sort_document_async(search_space_id: int, user_id: str, document_id: int): - from app.db import Document - from app.services.ai_file_sort_service import ai_sort_document - from app.services.llm_service import get_agent_llm - - async with get_celery_session_maker()() as session: - document = await session.get(Document, document_id) - if document is None: - logger.warning("Document %d not found, skipping AI sort", document_id) - return - - llm = await get_agent_llm(session, search_space_id, disable_streaming=True) - if llm is None: - logger.warning( - "No LLM for search_space=%d, skipping AI sort of doc=%d", - search_space_id, - document_id, - ) - return - - await ai_sort_document(session, document, llm) - await session.commit() - logger.info( - "AI sorted document=%d into search_space=%d", - document_id, - search_space_id, - ) diff --git a/surfsense_backend/app/tasks/celery_tasks/schedule_checker_task.py b/surfsense_backend/app/tasks/celery_tasks/schedule_checker_task.py index e88fb58b9..fc896005c 100644 --- a/surfsense_backend/app/tasks/celery_tasks/schedule_checker_task.py +++ b/surfsense_backend/app/tasks/celery_tasks/schedule_checker_task.py @@ -49,7 +49,6 @@ async def _check_and_trigger_schedules(): # Teams, Gmail, Calendar, Luma) use real-time tools instead. from app.tasks.celery_tasks.connector_tasks import ( index_confluence_pages_task, - index_crawled_urls_task, index_elasticsearch_documents_task, index_github_repos_task, index_google_drive_files_task, @@ -61,17 +60,24 @@ async def _check_and_trigger_schedules(): SearchSourceConnectorType.GITHUB_CONNECTOR: index_github_repos_task, SearchSourceConnectorType.CONFLUENCE_CONNECTOR: index_confluence_pages_task, SearchSourceConnectorType.ELASTICSEARCH_CONNECTOR: index_elasticsearch_documents_task, - SearchSourceConnectorType.WEBCRAWLER_CONNECTOR: index_crawled_urls_task, SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR: index_google_drive_files_task, SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR: index_google_drive_files_task, } - from app.services.mcp_oauth.registry import LIVE_CONNECTOR_TYPES + from app.services.mcp_oauth.registry import ( + DEPRECATED_INDEXING_CONNECTOR_TYPES, + LIVE_CONNECTOR_TYPES, + ) - # Disable obsolete periodic indexing for live connectors in one batch. + # Disable obsolete periodic indexing in one batch: live connectors + # (now real-time agent tools) and deprecated-indexing connectors + # (KB is files/notes/uploads only) no longer index on a schedule. live_disabled = [] for connector in due_connectors: - if connector.connector_type in LIVE_CONNECTOR_TYPES: + if ( + connector.connector_type in LIVE_CONNECTOR_TYPES + or connector.connector_type in DEPRECATED_INDEXING_CONNECTOR_TYPES + ): connector.periodic_indexing_enabled = False connector.next_scheduled_at = None live_disabled.append(connector) @@ -79,7 +85,7 @@ async def _check_and_trigger_schedules(): await session.commit() for c in live_disabled: logger.info( - "Disabled obsolete periodic indexing for live connector %s (%s)", + "Disabled obsolete periodic indexing for connector %s (%s)", c.id, c.connector_type.value, ) @@ -142,7 +148,7 @@ async def _check_and_trigger_schedules(): if selected_folders or selected_files: task.delay( connector.id, - connector.search_space_id, + connector.workspace_id, str(connector.user_id), { "folders": selected_folders, @@ -165,44 +171,10 @@ async def _check_and_trigger_schedules(): await session.commit() continue - # Special handling for Webcrawler - skip if no URLs configured - elif ( - connector.connector_type - == SearchSourceConnectorType.WEBCRAWLER_CONNECTOR - ): - from app.utils.webcrawler_utils import parse_webcrawler_urls - - connector_config = connector.config or {} - urls = parse_webcrawler_urls( - connector_config.get("INITIAL_URLS") - ) - - if urls: - task.delay( - connector.id, - connector.search_space_id, - str(connector.user_id), - None, # start_date - None, # end_date - ) - else: - # No URLs configured - skip indexing but still update next_scheduled_at - logger.info( - f"Webcrawler connector {connector.id} has no URLs configured, " - "skipping periodic indexing (will check again at next scheduled time)" - ) - from datetime import timedelta - - connector.next_scheduled_at = now + timedelta( - minutes=connector.indexing_frequency_minutes - ) - await session.commit() - continue - else: task.delay( connector.id, - connector.search_space_id, + connector.workspace_id, str(connector.user_id), None, # start_date - uses last_indexed_at None, # end_date - uses now diff --git a/surfsense_backend/app/tasks/celery_tasks/video_presentation_tasks.py b/surfsense_backend/app/tasks/celery_tasks/video_presentation_tasks.py index c6ce0b350..4f934cc27 100644 --- a/surfsense_backend/app/tasks/celery_tasks/video_presentation_tasks.py +++ b/surfsense_backend/app/tasks/celery_tasks/video_presentation_tasks.py @@ -15,7 +15,7 @@ from app.db import VideoPresentation, VideoPresentationStatus from app.services.billable_calls import ( BillingSettlementError, QuotaInsufficientError, - _resolve_agent_billing_for_search_space, + _resolve_agent_billing_for_workspace, billable_call, ) from app.tasks.celery_tasks import get_celery_session_maker, run_async_celery_task @@ -43,7 +43,7 @@ def generate_video_presentation_task( self, video_presentation_id: int, source_content: str, - search_space_id: int, + workspace_id: int, user_prompt: str | None = None, ) -> dict: """ @@ -55,7 +55,7 @@ def generate_video_presentation_task( lambda: _generate_video_presentation( video_presentation_id, source_content, - search_space_id, + workspace_id, user_prompt, ) ) @@ -96,7 +96,7 @@ async def _mark_video_presentation_failed(video_presentation_id: int) -> None: async def _generate_video_presentation( video_presentation_id: int, source_content: str, - search_space_id: int, + workspace_id: int, user_prompt: str | None = None, ) -> dict: """Generate video presentation and update existing record.""" @@ -120,17 +120,16 @@ async def _generate_video_presentation( owner_user_id, billing_tier, base_model, - ) = await _resolve_agent_billing_for_search_space( + ) = await _resolve_agent_billing_for_workspace( session, - search_space_id, + workspace_id, thread_id=video_pres.thread_id, ) except ValueError as resolve_err: logger.error( - "VideoPresentation %s: cannot resolve billing for " - "search_space=%s: %s", + "VideoPresentation %s: cannot resolve billing for workspace=%s: %s", video_pres.id, - search_space_id, + workspace_id, resolve_err, ) video_pres.status = VideoPresentationStatus.FAILED @@ -144,7 +143,7 @@ async def _generate_video_presentation( graph_config = { "configurable": { "video_title": video_pres.title, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "user_prompt": user_prompt, } } @@ -157,7 +156,7 @@ async def _generate_video_presentation( try: async with billable_call( user_id=owner_user_id, - search_space_id=search_space_id, + workspace_id=workspace_id, billing_tier=billing_tier, base_model=base_model, quota_reserve_micros_override=app_config.QUOTA_DEFAULT_VIDEO_PRESENTATION_RESERVE_MICROS, diff --git a/surfsense_backend/app/tasks/chat/persistence.py b/surfsense_backend/app/tasks/chat/persistence.py index 8840ec995..f78849607 100644 --- a/surfsense_backend/app/tasks/chat/persistence.py +++ b/surfsense_backend/app/tasks/chat/persistence.py @@ -412,7 +412,7 @@ async def finalize_assistant_turn( *, message_id: int, chat_id: int, - search_space_id: int, + workspace_id: int, user_id: str | None, turn_id: str, content: list[dict[str, Any]], @@ -517,7 +517,7 @@ async def finalize_assistant_turn( call_details={"calls": accumulator.serialized_calls()}, thread_id=chat_id, message_id=message_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_uuid, ) .on_conflict_do_nothing( diff --git a/surfsense_backend/app/tasks/chat/streaming/agent/builder.py b/surfsense_backend/app/tasks/chat/streaming/agent/builder.py index 9d7d1b0c5..a199d860a 100644 --- a/surfsense_backend/app/tasks/chat/streaming/agent/builder.py +++ b/surfsense_backend/app/tasks/chat/streaming/agent/builder.py @@ -22,14 +22,13 @@ async def build_main_agent_for_thread( agent_factory: Any, *, llm: Any, - search_space_id: int, + workspace_id: int, db_session: Any, connector_service: ConnectorService, checkpointer: Any, user_id: str | None, thread_id: int | None, agent_config: AgentConfig | None, - firecrawl_api_key: str | None, thread_visibility: ChatVisibility | None, filesystem_selection: FilesystemSelection | None, disabled_tools: list[str] | None = None, @@ -38,14 +37,13 @@ async def build_main_agent_for_thread( ) -> Any: return await agent_factory( llm=llm, - search_space_id=search_space_id, + workspace_id=workspace_id, db_session=db_session, connector_service=connector_service, checkpointer=checkpointer, user_id=user_id, thread_id=thread_id, agent_config=agent_config, - firecrawl_api_key=firecrawl_api_key, thread_visibility=thread_visibility, filesystem_selection=filesystem_selection, disabled_tools=disabled_tools, diff --git a/surfsense_backend/app/tasks/chat/streaming/agent/event_loop.py b/surfsense_backend/app/tasks/chat/streaming/agent/event_loop.py index 5ffe46280..ed3a59893 100644 --- a/surfsense_backend/app/tasks/chat/streaming/agent/event_loop.py +++ b/surfsense_backend/app/tasks/chat/streaming/agent/event_loop.py @@ -46,7 +46,7 @@ async def stream_agent_events( initial_step_title: str = "", initial_step_items: list[str] | None = None, *, - fallback_commit_search_space_id: int | None = None, + fallback_commit_workspace_id: int | None = None, fallback_commit_created_by_id: str | None = None, fallback_commit_filesystem_mode: FilesystemMode = FilesystemMode.CLOUD, fallback_commit_thread_id: int | None = None, @@ -92,7 +92,7 @@ async def stream_agent_events( # so reducers fire as if the after_agent hook produced it. if ( fallback_commit_filesystem_mode == FilesystemMode.CLOUD - and fallback_commit_search_space_id is not None + and fallback_commit_workspace_id is not None and ( (state_values.get("dirty_paths") or []) or (state_values.get("staged_dirs") or []) @@ -104,7 +104,7 @@ async def stream_agent_events( try: delta = await commit_staged_filesystem_state( state_values, - search_space_id=fallback_commit_search_space_id, + workspace_id=fallback_commit_workspace_id, created_by_id=fallback_commit_created_by_id, filesystem_mode=fallback_commit_filesystem_mode, thread_id=fallback_commit_thread_id, diff --git a/surfsense_backend/app/tasks/chat/streaming/errors/classifier.py b/surfsense_backend/app/tasks/chat/streaming/errors/classifier.py index 3fc5918ee..8aa703489 100644 --- a/surfsense_backend/app/tasks/chat/streaming/errors/classifier.py +++ b/surfsense_backend/app/tasks/chat/streaming/errors/classifier.py @@ -37,7 +37,7 @@ def log_chat_stream_error( is_expected: bool, request_id: str | None, thread_id: int | None, - search_space_id: int | None, + workspace_id: int | None, user_id: str | None, message: str, extra: dict[str, Any] | None = None, @@ -51,7 +51,7 @@ def log_chat_stream_error( "is_expected": is_expected, "request_id": request_id or "unknown", "thread_id": thread_id, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "user_id": user_id, "message": message, } diff --git a/surfsense_backend/app/tasks/chat/streaming/errors/emitter.py b/surfsense_backend/app/tasks/chat/streaming/errors/emitter.py index 95806ab87..c2b874ba0 100644 --- a/surfsense_backend/app/tasks/chat/streaming/errors/emitter.py +++ b/surfsense_backend/app/tasks/chat/streaming/errors/emitter.py @@ -13,7 +13,7 @@ def emit_stream_terminal_error( flow: Literal["new", "resume", "regenerate"], request_id: str | None, thread_id: int, - search_space_id: int, + workspace_id: int, user_id: str | None, message: str, error_kind: str = "server_error", @@ -30,7 +30,7 @@ def emit_stream_terminal_error( is_expected=is_expected, request_id=request_id, thread_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, message=message, extra=extra, diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/auto_pin.py b/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/auto_pin.py index dbb8ee2e4..1e5de2189 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/auto_pin.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/auto_pin.py @@ -1,7 +1,7 @@ """Resolve the auto-pin for the *initial* turn config. Auto-pin (``selected_llm_config_id=0``) picks the best eligible LLM config for -this thread / search space / user, optionally filtered to vision-capable +this thread / workspace / user, optionally filtered to vision-capable configs when the turn carries images. Errors classified here: @@ -45,7 +45,7 @@ async def resolve_initial_auto_pin( session: AsyncSession, *, chat_id: int, - search_space_id: int, + workspace_id: int, user_id: str | None, selected_llm_config_id: int, requires_image_input: bool, @@ -62,7 +62,7 @@ async def resolve_initial_auto_pin( pinned = await resolve_or_get_pinned_llm_config_id( session, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, selected_llm_config_id=selected_llm_config_id, requires_image_input=requires_image_input, diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/input_state.py b/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/input_state.py index 7be84c992..18b3b8152 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/input_state.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/input_state.py @@ -64,7 +64,7 @@ async def build_new_chat_input_state( session: AsyncSession, *, chat_id: int, - search_space_id: int, + workspace_id: int, user_query: str, user_image_data_urls: list[str] | None, mentioned_document_ids: list[int] | None, @@ -110,7 +110,7 @@ async def build_new_chat_input_state( agent_user_query, accepted_folder_ids = await _resolve_mentions_for_query( session, - search_space_id=search_space_id, + workspace_id=workspace_id, user_query=user_query, filesystem_mode=filesystem_mode, mentioned_document_ids=mentioned_document_ids, @@ -122,7 +122,7 @@ async def build_new_chat_input_state( # filesystem mode (unlike the doc/folder mention substitution above). referenced_chats = await resolve_referenced_chats( session, - search_space_id=search_space_id, + workspace_id=workspace_id, requesting_user_id=requesting_user_id, current_chat_id=chat_id, mentioned_thread_ids=mentioned_thread_ids, @@ -146,7 +146,7 @@ async def build_new_chat_input_state( input_state = { "messages": langchain_messages, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "request_id": request_id or "unknown", "turn_id": turn_id, } @@ -160,7 +160,7 @@ async def build_new_chat_input_state( async def _resolve_mentions_for_query( session: AsyncSession, *, - search_space_id: int, + workspace_id: int, user_query: str, filesystem_mode: str, mentioned_document_ids: list[int] | None, @@ -206,7 +206,7 @@ async def _resolve_mentions_for_query( resolved = await resolve_mentions( session, - search_space_id=search_space_id, + workspace_id=workspace_id, mentioned_documents=chip_objs, mentioned_document_ids=mentioned_document_ids, mentioned_folder_ids=mentioned_folder_ids, diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/orchestrator.py b/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/orchestrator.py index 0e49af249..4451b4b37 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/orchestrator.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/orchestrator.py @@ -83,7 +83,7 @@ from app.tasks.chat.streaming.flows.shared.first_frames import ( from app.tasks.chat.streaming.flows.shared.llm_bundle import load_llm_bundle from app.tasks.chat.streaming.flows.shared.pre_stream_setup import ( get_chat_checkpointer, - setup_connector_and_firecrawl, + setup_connector_service, ) from app.tasks.chat.streaming.flows.shared.premium_quota import ( CreditReservation, @@ -120,7 +120,7 @@ _background_tasks: set[asyncio.Task] = set() async def stream_new_chat( user_query: str, - search_space_id: int, + workspace_id: int, chat_id: int, user_id: str | None = None, llm_config_id: int = -1, @@ -165,7 +165,7 @@ async def stream_new_chat( chat_error_category: str | None = None chat_span_cm, chat_span = open_chat_request_span( chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, flow=flow, request_id=request_id, turn_id=stream_result.turn_id, @@ -194,7 +194,7 @@ async def stream_new_chat( flow=flow, request_id=request_id, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -217,7 +217,7 @@ async def stream_new_chat( pin_result = await resolve_initial_auto_pin( session, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, selected_llm_config_id=llm_config_id, requires_image_input=requires_image_input, @@ -233,7 +233,7 @@ async def stream_new_chat( llm_config_id = pin_result.llm_config_id # type: ignore[assignment] llm, agent_config, llm_load_error = await load_llm_bundle( - session, config_id=llm_config_id, search_space_id=search_space_id + session, config_id=llm_config_id, workspace_id=workspace_id ) if llm_load_error: yield emit_stream_error( @@ -273,7 +273,7 @@ async def stream_new_chat( pin_fallback = await resolve_initial_auto_pin( session, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, selected_llm_config_id=0, requires_image_input=requires_image_input, @@ -300,7 +300,7 @@ async def stream_new_chat( llm, agent_config, llm_load_error = await load_llm_bundle( session, config_id=llm_config_id, - search_space_id=search_space_id, + workspace_id=workspace_id, ) if llm_load_error: yield emit_stream_error( @@ -325,7 +325,7 @@ async def stream_new_chat( is_expected=True, request_id=request_id, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, message=( "Premium quota exhausted on pinned model; " @@ -376,11 +376,11 @@ async def stream_new_chat( ) _t0 = time.perf_counter() - connector_service, firecrawl_api_key = await setup_connector_and_firecrawl( - session, search_space_id=search_space_id + connector_service = await setup_connector_service( + session, workspace_id=workspace_id ) _perf_log.info( - "[stream_new_chat] Connector service + firecrawl key in %.3fs", + "[stream_new_chat] Connector service in %.3fs", time.perf_counter() - _t0, ) @@ -403,14 +403,13 @@ async def stream_new_chat( agent = await build_main_agent_for_thread( agent_factory, llm=llm, - search_space_id=search_space_id, + workspace_id=workspace_id, db_session=session, connector_service=connector_service, checkpointer=checkpointer, user_id=user_id, thread_id=chat_id, agent_config=agent_config, - firecrawl_api_key=firecrawl_api_key, thread_visibility=visibility, filesystem_selection=filesystem_selection, disabled_tools=disabled_tools, @@ -427,7 +426,7 @@ async def stream_new_chat( assembled = await build_new_chat_input_state( session, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_query=user_query, user_image_data_urls=user_image_data_urls, mentioned_document_ids=mentioned_document_ids, @@ -592,7 +591,7 @@ async def stream_new_chat( title_emitted = False runtime_context = build_new_chat_runtime_context( - search_space_id=search_space_id, + workspace_id=workspace_id, mentioned_document_ids=mentioned_document_ids, accepted_folder_ids=accepted_folder_ids, mentioned_folder_ids=mentioned_folder_ids, @@ -632,13 +631,13 @@ async def stream_new_chat( llm_config_id = await reroute_to_next_auto_pin( session, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, current_llm_config_id=llm_config_id, requires_image_input=requires_image_input, ) new_llm, new_agent_config, llm_load_err = await load_llm_bundle( - session, config_id=llm_config_id, search_space_id=search_space_id + session, config_id=llm_config_id, workspace_id=workspace_id ) if llm_load_err: # Re-raise the original so the terminal-error path classifies @@ -658,14 +657,13 @@ async def stream_new_chat( new_agent = await build_main_agent_for_thread( agent_factory, llm=llm, - search_space_id=search_space_id, + workspace_id=workspace_id, db_session=session, connector_service=connector_service, checkpointer=checkpointer, user_id=user_id, thread_id=chat_id, agent_config=agent_config, - firecrawl_api_key=firecrawl_api_key, thread_visibility=visibility, filesystem_selection=filesystem_selection, disabled_tools=disabled_tools, @@ -683,7 +681,7 @@ async def stream_new_chat( flow=flow, request_id=request_id, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, previous_config_id=previous_config_id, new_config_id=llm_config_id, @@ -700,7 +698,7 @@ async def stream_new_chat( initial_step_id=initial_step_id, initial_step_title=initial_step_title, initial_step_items=initial_step_items, - fallback_commit_search_space_id=search_space_id, + fallback_commit_workspace_id=workspace_id, fallback_commit_created_by_id=user_id, fallback_commit_filesystem_mode=( filesystem_selection.mode @@ -793,7 +791,7 @@ async def stream_new_chat( streaming_service=streaming_service, request_id=request_id, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, chat_span=chat_span, ) @@ -826,7 +824,7 @@ async def stream_new_chat( await finalize_assistant_message( stream_result=stream_result, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, accumulator=accumulator, log_prefix="stream_new_chat", diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/runtime_context.py b/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/runtime_context.py index 5ef2b8ad1..2b6c2b545 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/runtime_context.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/new_chat/runtime_context.py @@ -13,7 +13,7 @@ from app.agents.chat.shared.context import SurfSenseContextSchema def build_new_chat_runtime_context( *, - search_space_id: int, + workspace_id: int, mentioned_document_ids: list[int] | None, accepted_folder_ids: list[int], mentioned_folder_ids: list[int] | None, @@ -34,7 +34,7 @@ def build_new_chat_runtime_context( middleware reads them yet. """ return SurfSenseContextSchema( - search_space_id=search_space_id, + workspace_id=workspace_id, mentioned_document_ids=list(mentioned_document_ids or []), mentioned_folder_ids=list(accepted_folder_ids or mentioned_folder_ids or []), mentioned_connector_ids=list(mentioned_connector_ids or []), diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/resume_chat/orchestrator.py b/surfsense_backend/app/tasks/chat/streaming/flows/resume_chat/orchestrator.py index 33fcee3da..8b7956f4c 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/resume_chat/orchestrator.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/resume_chat/orchestrator.py @@ -62,7 +62,7 @@ from app.tasks.chat.streaming.flows.shared.first_frames import ( from app.tasks.chat.streaming.flows.shared.llm_bundle import load_llm_bundle from app.tasks.chat.streaming.flows.shared.pre_stream_setup import ( get_chat_checkpointer, - setup_connector_and_firecrawl, + setup_connector_service, ) from app.tasks.chat.streaming.flows.shared.premium_quota import ( CreditReservation, @@ -95,7 +95,7 @@ _perf_log = get_perf_logger() async def stream_resume_chat( chat_id: int, - search_space_id: int, + workspace_id: int, decisions: list[dict], user_id: str | None = None, llm_config_id: int = -1, @@ -127,7 +127,7 @@ async def stream_resume_chat( chat_error_category: str | None = None chat_span_cm, chat_span = open_chat_request_span( chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, flow="resume", request_id=request_id, turn_id=stream_result.turn_id, @@ -155,7 +155,7 @@ async def stream_resume_chat( flow="resume", request_id=request_id, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -177,7 +177,7 @@ async def stream_resume_chat( pinned = await resolve_or_get_pinned_llm_config_id( session, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, selected_llm_config_id=llm_config_id, ) @@ -200,7 +200,7 @@ async def stream_resume_chat( return llm, agent_config, llm_load_error = await load_llm_bundle( - session, config_id=llm_config_id, search_space_id=search_space_id + session, config_id=llm_config_id, workspace_id=workspace_id ) if llm_load_error: yield emit_stream_error( @@ -226,7 +226,7 @@ async def stream_resume_chat( pinned_fb = await resolve_or_get_pinned_llm_config_id( session, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, selected_llm_config_id=0, force_repin_free=True, @@ -250,7 +250,7 @@ async def stream_resume_chat( llm, agent_config, llm_load_error = await load_llm_bundle( session, config_id=llm_config_id, - search_space_id=search_space_id, + workspace_id=workspace_id, ) if llm_load_error: yield emit_stream_error( @@ -273,7 +273,7 @@ async def stream_resume_chat( is_expected=True, request_id=request_id, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, message=( "Premium quota exhausted on pinned model; " @@ -314,11 +314,11 @@ async def stream_resume_chat( # --- Pre-stream setup --- _t0 = time.perf_counter() - connector_service, firecrawl_api_key = await setup_connector_and_firecrawl( - session, search_space_id=search_space_id + connector_service = await setup_connector_service( + session, workspace_id=workspace_id ) _perf_log.info( - "[stream_resume] Connector service + firecrawl key in %.3fs", + "[stream_resume] Connector service in %.3fs", time.perf_counter() - _t0, ) @@ -337,14 +337,13 @@ async def stream_resume_chat( agent = await build_main_agent_for_thread( agent_factory, llm=llm, - search_space_id=search_space_id, + workspace_id=workspace_id, db_session=session, connector_service=connector_service, checkpointer=checkpointer, user_id=user_id, thread_id=chat_id, agent_config=agent_config, - firecrawl_api_key=firecrawl_api_key, thread_visibility=visibility, filesystem_selection=filesystem_selection, disabled_tools=disabled_tools, @@ -423,7 +422,7 @@ async def stream_resume_chat( stream_result.content_builder = AssistantContentBuilder() runtime_context = build_resume_chat_runtime_context( - search_space_id=search_space_id, + workspace_id=workspace_id, request_id=request_id, turn_id=stream_result.turn_id, ) @@ -456,13 +455,13 @@ async def stream_resume_chat( llm_config_id = await reroute_to_next_auto_pin( session, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, current_llm_config_id=llm_config_id, requires_image_input=False, ) new_llm, new_agent_config, llm_load_err = await load_llm_bundle( - session, config_id=llm_config_id, search_space_id=search_space_id + session, config_id=llm_config_id, workspace_id=workspace_id ) if llm_load_err: return None @@ -473,14 +472,13 @@ async def stream_resume_chat( new_agent = await build_main_agent_for_thread( agent_factory, llm=llm, - search_space_id=search_space_id, + workspace_id=workspace_id, db_session=session, connector_service=connector_service, checkpointer=checkpointer, user_id=user_id, thread_id=chat_id, agent_config=agent_config, - firecrawl_api_key=firecrawl_api_key, thread_visibility=visibility, filesystem_selection=filesystem_selection, disabled_tools=disabled_tools, @@ -497,7 +495,7 @@ async def stream_resume_chat( flow="resume", request_id=request_id, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, previous_config_id=previous_config_id, new_config_id=llm_config_id, @@ -511,7 +509,7 @@ async def stream_resume_chat( input_data=Command(resume=routing.lg_resume_map), stream_result=stream_result, step_prefix=resume_step_prefix(stream_result.turn_id), - fallback_commit_search_space_id=search_space_id, + fallback_commit_workspace_id=workspace_id, fallback_commit_created_by_id=user_id, fallback_commit_filesystem_mode=( filesystem_selection.mode @@ -572,7 +570,7 @@ async def stream_resume_chat( streaming_service=streaming_service, request_id=request_id, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, chat_span=chat_span, ) @@ -595,7 +593,7 @@ async def stream_resume_chat( await finalize_assistant_message( stream_result=stream_result, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, accumulator=accumulator, log_prefix="stream_resume", diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/resume_chat/runtime_context.py b/surfsense_backend/app/tasks/chat/streaming/flows/resume_chat/runtime_context.py index 54f0dfba0..a1be8c36b 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/resume_chat/runtime_context.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/resume_chat/runtime_context.py @@ -12,12 +12,12 @@ from app.agents.chat.shared.context import SurfSenseContextSchema def build_resume_chat_runtime_context( *, - search_space_id: int, + workspace_id: int, request_id: str | None, turn_id: str, ) -> SurfSenseContextSchema: return SurfSenseContextSchema( - search_space_id=search_space_id, + workspace_id=workspace_id, request_id=request_id, turn_id=turn_id, ) diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/shared/assistant_finalize.py b/surfsense_backend/app/tasks/chat/streaming/flows/shared/assistant_finalize.py index c59c2dcda..04cba6f5f 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/shared/assistant_finalize.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/shared/assistant_finalize.py @@ -54,7 +54,7 @@ def _resolve_citations( ) -> list[dict[str, Any]]: """Rewrite ``[n]`` -> ``[citation:<payload>]`` in each text part before persisting. - No-op when the turn registered no citable sources; ``web_search``'s existing + No-op when the turn registered no citable sources; any pre-existing ``[citation:url]`` markers pass through untouched (the regex matches bare ``[n]``). """ registry = _as_registry(raw_registry) @@ -70,7 +70,7 @@ async def finalize_assistant_message( *, stream_result: StreamResult | None, chat_id: int, - search_space_id: int, + workspace_id: int, user_id: str | None, accumulator: TokenAccumulator, log_prefix: str, @@ -140,7 +140,7 @@ async def finalize_assistant_message( await finalize_assistant_turn( message_id=stream_result.assistant_message_id, chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, turn_id=stream_result.turn_id, content=content_payload, diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/shared/llm_bundle.py b/surfsense_backend/app/tasks/chat/streaming/flows/shared/llm_bundle.py index 6f905e8f4..5d1a4bc83 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/shared/llm_bundle.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/shared/llm_bundle.py @@ -21,7 +21,7 @@ from app.agents.chat.runtime.llm_config import ( SanitizedChatLiteLLM, ) from app.config import config -from app.db import Model, SearchSpace +from app.db import Model, Workspace from app.services.model_capabilities import has_capability from app.services.model_resolver import to_litellm from app.services.token_tracking_service import register_model_usage_metadata @@ -55,11 +55,9 @@ def _agent_config_from_resolved( ) -async def _load_search_space( - session: AsyncSession, search_space_id: int -) -> SearchSpace | None: +async def _load_workspace(session: AsyncSession, workspace_id: int) -> Workspace | None: result = await session.execute( - select(SearchSpace).where(SearchSpace.id == search_space_id) + select(Workspace).where(Workspace.id == workspace_id) ) return result.scalars().first() @@ -68,7 +66,7 @@ async def _load_db_model( session: AsyncSession, *, model_id: int, - search_space: SearchSpace, + workspace: Workspace, ) -> Model | None: result = await session.execute( select(Model) @@ -79,9 +77,9 @@ async def _load_db_model( if not model or not model.connection or not model.connection.enabled: return None conn = model.connection - if conn.search_space_id is not None and conn.search_space_id != search_space.id: + if conn.workspace_id is not None and conn.workspace_id != workspace.id: return None - if conn.user_id is not None and conn.user_id != search_space.user_id: + if conn.user_id is not None and conn.user_id != workspace.user_id: return None return model @@ -90,17 +88,17 @@ async def load_llm_bundle( session: AsyncSession, *, config_id: int, - search_space_id: int, + workspace_id: int, ) -> tuple[Any, AgentConfig | None, str | None]: - search_space = await _load_search_space(session, search_space_id) - if not search_space: - return None, None, f"Search space {search_space_id} not found" + workspace = await _load_workspace(session, workspace_id) + if not workspace: + return None, None, f"Workspace {workspace_id} not found" if config_id > 0: model = await _load_db_model( session, model_id=config_id, - search_space=search_space, + workspace=workspace, ) if not model or not has_capability(model, "chat"): return ( diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/shared/pre_stream_setup.py b/surfsense_backend/app/tasks/chat/streaming/flows/shared/pre_stream_setup.py index f717cb325..4cfb4fd60 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/shared/pre_stream_setup.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/shared/pre_stream_setup.py @@ -1,33 +1,20 @@ -"""Pre-stream setup: connector service, firecrawl key, checkpointer.""" +"""Pre-stream setup: connector service, checkpointer.""" from __future__ import annotations from sqlalchemy.ext.asyncio import AsyncSession from app.agents.chat.runtime.checkpointer import get_checkpointer -from app.db import SearchSourceConnectorType from app.services.connector_service import ConnectorService -async def setup_connector_and_firecrawl( +async def setup_connector_service( session: AsyncSession, *, - search_space_id: int, -) -> tuple[ConnectorService, str | None]: - """Build the per-turn connector service and pull the firecrawl API key. - - Returns ``(connector_service, firecrawl_api_key)``. ``firecrawl_api_key`` is - ``None`` when no web-crawler connector is configured (the agent simply - skips firecrawl-backed tools in that case). - """ - connector_service = ConnectorService(session, search_space_id=search_space_id) - firecrawl_api_key: str | None = None - webcrawler_connector = await connector_service.get_connector_by_type( - SearchSourceConnectorType.WEBCRAWLER_CONNECTOR, search_space_id - ) - if webcrawler_connector and webcrawler_connector.config: - firecrawl_api_key = webcrawler_connector.config.get("FIRECRAWL_API_KEY") - return connector_service, firecrawl_api_key + workspace_id: int, +) -> ConnectorService: + """Build the per-turn connector service for the workspace.""" + return ConnectorService(session, workspace_id=workspace_id) async def get_chat_checkpointer(): diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/shared/rate_limit_recovery.py b/surfsense_backend/app/tasks/chat/streaming/flows/shared/rate_limit_recovery.py index 29018fe07..4a0a15f54 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/shared/rate_limit_recovery.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/shared/rate_limit_recovery.py @@ -62,7 +62,7 @@ async def reroute_to_next_auto_pin( session: AsyncSession, *, chat_id: int, - search_space_id: int, + workspace_id: int, user_id: str | None, current_llm_config_id: int, requires_image_input: bool, @@ -79,7 +79,7 @@ async def reroute_to_next_auto_pin( pinned = await resolve_or_get_pinned_llm_config_id( session, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, selected_llm_config_id=0, exclude_config_ids={current_llm_config_id}, @@ -93,7 +93,7 @@ def log_rate_limit_recovered( flow: Literal["new", "regenerate", "resume"], request_id: str | None, chat_id: int, - search_space_id: int, + workspace_id: int, user_id: str | None, previous_config_id: int, new_config_id: int, @@ -115,7 +115,7 @@ def log_rate_limit_recovered( is_expected=True, request_id=request_id, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, message=( "Auto-pinned model hit runtime rate limit; switched to " diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/shared/span.py b/surfsense_backend/app/tasks/chat/streaming/flows/shared/span.py index 74b9682ed..18215c8f2 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/shared/span.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/shared/span.py @@ -12,7 +12,7 @@ from app.observability import metrics as ot_metrics, otel as ot def open_chat_request_span( *, chat_id: int, - search_space_id: int, + workspace_id: int, flow: Literal["new", "regenerate", "resume"], request_id: str | None, turn_id: str, @@ -23,7 +23,7 @@ def open_chat_request_span( """Open the per-request span; returns ``(span_cm, span)`` for finally-close.""" span_cm = ot.chat_request_span( chat_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, flow=flow, request_id=request_id, turn_id=turn_id, diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/shared/stream_loop.py b/surfsense_backend/app/tasks/chat/streaming/flows/shared/stream_loop.py index f455a8ffd..ff830fe1b 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/shared/stream_loop.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/shared/stream_loop.py @@ -37,7 +37,7 @@ async def run_stream_loop( initial_step_id: str | None = None, initial_step_title: str = "", initial_step_items: list[str] | None = None, - fallback_commit_search_space_id: int | None, + fallback_commit_workspace_id: int | None, fallback_commit_created_by_id: str | None, fallback_commit_filesystem_mode: FilesystemMode, fallback_commit_thread_id: int | None, @@ -64,7 +64,7 @@ async def run_stream_loop( initial_step_id=initial_step_id, initial_step_title=initial_step_title, initial_step_items=initial_step_items, - fallback_commit_search_space_id=fallback_commit_search_space_id, + fallback_commit_workspace_id=fallback_commit_workspace_id, fallback_commit_created_by_id=fallback_commit_created_by_id, fallback_commit_filesystem_mode=fallback_commit_filesystem_mode, fallback_commit_thread_id=fallback_commit_thread_id, diff --git a/surfsense_backend/app/tasks/chat/streaming/flows/shared/terminal_error.py b/surfsense_backend/app/tasks/chat/streaming/flows/shared/terminal_error.py index 126149cc1..1e927d5d5 100644 --- a/surfsense_backend/app/tasks/chat/streaming/flows/shared/terminal_error.py +++ b/surfsense_backend/app/tasks/chat/streaming/flows/shared/terminal_error.py @@ -34,7 +34,7 @@ def handle_terminal_exception( streaming_service: VercelStreamingService, request_id: str | None, chat_id: int, - search_space_id: int, + workspace_id: int, user_id: str | None, chat_span: Any, ) -> tuple[Iterator[str], dict[str, Any]]: @@ -87,7 +87,7 @@ def handle_terminal_exception( flow=flow, request_id=request_id, thread_id=chat_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, message=user_message, error_kind=error_kind, diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/custom_event_dispatch.py b/surfsense_backend/app/tasks/chat/streaming/handlers/custom_event_dispatch.py index 69f4b8a24..35d96f1f8 100644 --- a/surfsense_backend/app/tasks/chat/streaming/handlers/custom_event_dispatch.py +++ b/surfsense_backend/app/tasks/chat/streaming/handlers/custom_event_dispatch.py @@ -10,6 +10,7 @@ from app.tasks.chat.streaming.handlers.custom_events import ( handle_action_log_updated, handle_document_created, handle_report_progress, + handle_scraper_progress, ) from app.tasks.chat.streaming.relay.state import AgentEventRelayState @@ -39,6 +40,20 @@ def iter_custom_event_frames( yield frame return + if name == "scraper_progress": + frame, state.last_active_step_items = handle_scraper_progress( + data, + last_active_step_id=state.last_active_step_id, + last_active_step_title=state.last_active_step_title, + last_active_step_items=state.last_active_step_items, + streaming_service=streaming_service, + content_builder=content_builder, + thinking_metadata=state.span_metadata_if_active(), + ) + if frame: + yield frame + return + if name == "document_created": frame = handle_document_created(data, streaming_service=streaming_service) if frame: diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/custom_events.py b/surfsense_backend/app/tasks/chat/streaming/handlers/custom_events.py index 81116e205..dbba47d44 100644 --- a/surfsense_backend/app/tasks/chat/streaming/handlers/custom_events.py +++ b/surfsense_backend/app/tasks/chat/streaming/handlers/custom_events.py @@ -54,6 +54,53 @@ def handle_report_progress( return frame, new_items +def _scraper_progress_label(data: dict[str, Any]) -> str: + """Build a one-line human status from a ``scraper_progress`` event.""" + message = data.get("message") + phase = data.get("phase", "") + current = data.get("current") + total = data.get("total") + label = message or (phase.replace("_", " ").capitalize() if phase else "Working") + if current is not None: + counter = f"{current}/{total}" if total else str(current) + label = f"{label} ({counter})" + return label + + +def handle_scraper_progress( + data: dict[str, Any], + *, + last_active_step_id: str | None, + last_active_step_title: str, + last_active_step_items: list[str], + streaming_service: Any, + content_builder: Any | None, + thinking_metadata: dict[str, Any] | None = None, +) -> tuple[str | None, list[str]]: + """Surface a scraper's live progress as an evolving thinking-step item. + + Scraper capability tool calls own a fresh thinking step (see ``tool_start``), + so we show a single latest-status line rather than accumulating every event. + Returns (frame or None, items after update). + """ + if not last_active_step_id: + return None, last_active_step_items + label = _scraper_progress_label(data) + if not label: + return None, last_active_step_items + new_items = [label] + frame = emit_thinking_step_frame( + streaming_service=streaming_service, + content_builder=content_builder, + step_id=last_active_step_id, + title=last_active_step_title, + status="in_progress", + items=new_items, + metadata=thinking_metadata, + ) + return frame, new_items + + def handle_document_created( data: dict[str, Any], *, streaming_service: Any ) -> str | None: diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/emission.py b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/emission.py deleted file mode 100644 index 293d2a1e9..000000000 --- a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/emission.py +++ /dev/null @@ -1,43 +0,0 @@ -"""scrape_webpage: redacted payload + terminal summary.""" - -from __future__ import annotations - -from collections.abc import Iterator - -from app.tasks.chat.streaming.handlers.tools.emission_context import ( - ToolCompletionEmissionContext, -) - - -def iter_completion_emission_frames( - ctx: ToolCompletionEmissionContext, -) -> Iterator[str]: - out = ctx.tool_output - if isinstance(out, dict): - display_output = {k: v for k, v in out.items() if k != "content"} - if "content" in out: - content = out.get("content", "") - display_output["content_preview"] = ( - content[:500] + "..." if len(content) > 500 else content - ) - yield ctx.emit_tool_output_card(display_output) - else: - yield ctx.emit_tool_output_card({"result": out}) - - if isinstance(out, dict) and "error" not in out: - title = out.get("title", "Webpage") - word_count = out.get("word_count", 0) - yield ctx.streaming_service.format_terminal_info( - f"Scraped: {title[:40]}{'...' if len(title) > 40 else ''} ({word_count:,} words)", - "success", - ) - else: - error_msg = ( - out.get("error", "Failed to scrape") - if isinstance(out, dict) - else "Failed to scrape" - ) - yield ctx.streaming_service.format_terminal_info( - f"Scrape failed: {error_msg}", - "error", - ) diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/shared/tool_input.py b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/shared/tool_input.py deleted file mode 100644 index 581f0e64a..000000000 --- a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/shared/tool_input.py +++ /dev/null @@ -1,9 +0,0 @@ -"""Tool-call args for scrape_webpage thinking.""" - -from __future__ import annotations - -from typing import Any - - -def as_tool_input_dict(tool_input: Any) -> dict[str, Any]: - return tool_input if isinstance(tool_input, dict) else {} diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/thinking.py b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/thinking.py deleted file mode 100644 index 8a04acbe6..000000000 --- a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/thinking.py +++ /dev/null @@ -1,49 +0,0 @@ -"""scrape_webpage: thinking-step copy.""" - -from __future__ import annotations - -from typing import Any - -from app.tasks.chat.streaming.handlers.tools.scrape_webpage.shared.tool_input import ( - as_tool_input_dict, -) -from app.tasks.chat.streaming.handlers.tools.shared.model import ( - ToolStartThinking, -) - - -def resolve_start_thinking(tool_name: str, tool_input: Any) -> ToolStartThinking: - del tool_name - d = as_tool_input_dict(tool_input) - url = d.get("url", "") if isinstance(tool_input, dict) else str(tool_input) - return ToolStartThinking( - title="Scraping webpage", - items=[f"URL: {url[:80]}{'...' if len(url) > 80 else ''}"], - ) - - -def resolve_completed_thinking( - tool_name: str, - tool_output: Any, - last_items: list[str], -) -> tuple[str, list[str]]: - del tool_name - items = last_items - if isinstance(tool_output, dict): - title = tool_output.get("title", "Webpage") - word_count = tool_output.get("word_count", 0) - has_error = "error" in tool_output - if has_error: - completed = [ - *items, - f"Error: {tool_output.get('error', 'Failed to scrape')[:50]}", - ] - else: - completed = [ - *items, - f"Title: {title[:50]}{'...' if len(title) > 50 else ''}", - f"Extracted: {word_count:,} words", - ] - else: - completed = [*items, "Content extracted"] - return ("Scraping webpage", completed) diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_discover/__init__.py b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_discover/__init__.py new file mode 100644 index 000000000..9ad4346a6 --- /dev/null +++ b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_discover/__init__.py @@ -0,0 +1 @@ +"""web_discover tool: UI emission for the web.discover capability (05).""" diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_discover/emission.py b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_discover/emission.py new file mode 100644 index 000000000..4f0592889 --- /dev/null +++ b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_discover/emission.py @@ -0,0 +1,29 @@ +"""web_discover: ranked-hits card + a result-count terminal line.""" + +from __future__ import annotations + +from collections.abc import Iterator + +from app.tasks.chat.streaming.handlers.tools.emission_context import ( + ToolCompletionEmissionContext, +) + + +def iter_completion_emission_frames( + ctx: ToolCompletionEmissionContext, +) -> Iterator[str]: + out = ctx.tool_output + if not isinstance(out, dict): + message = str(out) + yield ctx.emit_tool_output_card({"status": "error", "message": message}) + yield ctx.streaming_service.format_terminal_info(message, "error") + return + + hits = out.get("hits") or [] + yield ctx.emit_tool_output_card( + {"status": "completed", "hits": hits, "count": len(hits)} + ) + level = "success" if hits else "info" + yield ctx.streaming_service.format_terminal_info( + f"Found {len(hits)} result(s)", level + ) diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_scrape/__init__.py b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_scrape/__init__.py new file mode 100644 index 000000000..2282f2277 --- /dev/null +++ b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_scrape/__init__.py @@ -0,0 +1 @@ +"""web_scrape tool: UI emission for the web.scrape capability (05).""" diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_scrape/emission.py b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_scrape/emission.py new file mode 100644 index 000000000..dcc0a494d --- /dev/null +++ b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_scrape/emission.py @@ -0,0 +1,54 @@ +"""web_scrape: per-page card (content previewed) + a scraped-count terminal line.""" + +from __future__ import annotations + +from collections.abc import Iterator + +from app.tasks.chat.streaming.handlers.tools.emission_context import ( + ToolCompletionEmissionContext, +) + +_PREVIEW_CHARS = 500 + + +def iter_completion_emission_frames( + ctx: ToolCompletionEmissionContext, +) -> Iterator[str]: + out = ctx.tool_output + if not isinstance(out, dict): + message = str(out) + yield ctx.emit_tool_output_card({"status": "error", "message": message}) + yield ctx.streaming_service.format_terminal_info(message, "error") + return + + rows = out.get("rows") or [] + pages = [_page(row) for row in rows] + succeeded = sum(1 for row in rows if row.get("status") == "success") + + yield ctx.emit_tool_output_card( + { + "status": "completed", + "pages": pages, + "succeeded": succeeded, + "total": len(rows), + } + ) + level = "success" if succeeded else "error" + yield ctx.streaming_service.format_terminal_info( + f"Scraped {succeeded}/{len(rows)} page(s)", level + ) + + +def _page(row: dict) -> dict: + """A card-safe view of one row: metadata kept, content bounded to a preview.""" + page: dict = {"url": row.get("url"), "status": row.get("status")} + if row.get("metadata"): + page["metadata"] = row["metadata"] + content = row.get("content") + if content: + page["content_preview"] = ( + content[:_PREVIEW_CHARS] + "…" if len(content) > _PREVIEW_CHARS else content + ) + if row.get("error"): + page["error"] = row["error"] + return page diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_search/emission.py b/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_search/emission.py deleted file mode 100644 index 3efe45d0c..000000000 --- a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/web_search/emission.py +++ /dev/null @@ -1,37 +0,0 @@ -"""web_search: citations parsed from provider XML.""" - -from __future__ import annotations - -import re -from collections.abc import Iterator - -from app.tasks.chat.streaming.handlers.tools.emission_context import ( - ToolCompletionEmissionContext, -) - - -def iter_completion_emission_frames( - ctx: ToolCompletionEmissionContext, -) -> Iterator[str]: - out = ctx.tool_output - xml = out.get("result", str(out)) if isinstance(out, dict) else str(out) - citations: dict[str, dict[str, str]] = {} - for m in re.finditer( - r"<title><!\[CDATA\[(.*?)\]\]>\s*", - xml, - ): - title, url = m.group(1).strip(), m.group(2).strip() - if url.startswith("http") and url not in citations: - citations[url] = {"title": title} - for m in re.finditer( - r"", - xml, - ): - chunk_url, content = m.group(1).strip(), m.group(2).strip() - if chunk_url.startswith("http") and chunk_url in citations and content: - citations[chunk_url]["snippet"] = ( - content[:200] + "…" if len(content) > 200 else content - ) - yield ctx.emit_tool_output_card( - {"status": "completed", "citations": citations}, - ) diff --git a/surfsense_backend/app/tasks/composio_indexer.py b/surfsense_backend/app/tasks/composio_indexer.py index 0518ad2a6..157988810 100644 --- a/surfsense_backend/app/tasks/composio_indexer.py +++ b/surfsense_backend/app/tasks/composio_indexer.py @@ -84,7 +84,7 @@ def get_indexer_function(toolkit_id: str): async def index_composio_connector( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -101,7 +101,7 @@ async def index_composio_connector( Args: session: Database session connector_id: ID of the Composio connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for filtering (YYYY-MM-DD format) end_date: End date for filtering (YYYY-MM-DD format) @@ -112,7 +112,7 @@ async def index_composio_connector( Returns: Tuple of (number_of_indexed_items, number_of_skipped_items, error_message or None) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -180,7 +180,7 @@ async def index_composio_connector( "session": session, "connector": connector, "connector_id": connector_id, - "search_space_id": search_space_id, + "workspace_id": workspace_id, "user_id": user_id, "task_logger": task_logger, "log_entry": log_entry, diff --git a/surfsense_backend/app/tasks/connector_indexers/__init__.py b/surfsense_backend/app/tasks/connector_indexers/__init__.py index 218f21066..0f867bdcf 100644 --- a/surfsense_backend/app/tasks/connector_indexers/__init__.py +++ b/surfsense_backend/app/tasks/connector_indexers/__init__.py @@ -14,12 +14,10 @@ from .google_calendar_indexer import index_google_calendar_events from .google_drive_indexer import index_google_drive_files from .google_gmail_indexer import index_google_gmail_messages from .notion_indexer import index_notion_pages -from .webcrawler_indexer import index_crawled_urls __all__ = [ "index_bookstack_pages", "index_confluence_pages", - "index_crawled_urls", "index_elasticsearch_documents", "index_github_repos", "index_google_calendar_events", diff --git a/surfsense_backend/app/tasks/connector_indexers/airtable_indexer.py b/surfsense_backend/app/tasks/connector_indexers/airtable_indexer.py index e2a1b109a..9958031b1 100644 --- a/surfsense_backend/app/tasks/connector_indexers/airtable_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/airtable_indexer.py @@ -44,7 +44,7 @@ HEARTBEAT_INTERVAL_SECONDS = 30 async def index_airtable_records( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -58,7 +58,7 @@ async def index_airtable_records( Args: session: Database session connector_id: ID of the Airtable connector - search_space_id: ID of the search space to store documents in + workspace_id: ID of the workspace to store documents in user_id: ID of the user start_date: Start date for filtering records (YYYY-MM-DD) end_date: End date for filtering records (YYYY-MM-DD) @@ -69,7 +69,7 @@ async def index_airtable_records( Returns: Tuple of (number_of_documents_processed, error_message) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="airtable_indexing", source="connector_indexing_task", @@ -259,12 +259,12 @@ async def index_airtable_records( unique_identifier_hash = generate_unique_identifier_hash( DocumentType.AIRTABLE_CONNECTOR, record_id, - search_space_id, + workspace_id, ) # Generate content hash content_hash = generate_content_hash( - markdown_content, search_space_id + markdown_content, workspace_id ) # Check if document with this unique identifier already exists @@ -323,7 +323,7 @@ async def index_airtable_records( # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=record_id, document_type=DocumentType.AIRTABLE_CONNECTOR, document_metadata={ diff --git a/surfsense_backend/app/tasks/connector_indexers/base.py b/surfsense_backend/app/tasks/connector_indexers/base.py index 9408874ca..3a982cc4c 100644 --- a/surfsense_backend/app/tasks/connector_indexers/base.py +++ b/surfsense_backend/app/tasks/connector_indexers/base.py @@ -137,7 +137,7 @@ async def mark_connector_documents_failed( session: AsyncSession, *, document_type: DocumentType, - search_space_id: int, + workspace_id: int, failures: list[tuple[str, str]], ) -> int: """Transition placeholder/in-progress documents to ``failed`` by source id. @@ -159,7 +159,7 @@ async def mark_connector_documents_failed( if not unique_id: continue uid_hash = compute_identifier_hash( - document_type.value, unique_id, search_space_id + document_type.value, unique_id, workspace_id ) existing = await check_document_by_unique_identifier(session, uid_hash) if existing is None: diff --git a/surfsense_backend/app/tasks/connector_indexers/bookstack_indexer.py b/surfsense_backend/app/tasks/connector_indexers/bookstack_indexer.py index 6471ffb00..e00936cac 100644 --- a/surfsense_backend/app/tasks/connector_indexers/bookstack_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/bookstack_indexer.py @@ -45,7 +45,7 @@ HEARTBEAT_INTERVAL_SECONDS = 30 async def index_bookstack_pages( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -58,7 +58,7 @@ async def index_bookstack_pages( Args: session: Database session connector_id: ID of the BookStack connector - search_space_id: ID of the search space to store documents in + workspace_id: ID of the workspace to store documents in user_id: User ID start_date: Start date for indexing (YYYY-MM-DD format) end_date: End date for indexing (YYYY-MM-DD format) @@ -68,7 +68,7 @@ async def index_bookstack_pages( Returns: Tuple containing (number of documents indexed, error message or None) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -242,11 +242,11 @@ async def index_bookstack_pages( # Generate unique identifier hash for this BookStack page unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.BOOKSTACK_CONNECTOR, page_id, search_space_id + DocumentType.BOOKSTACK_CONNECTOR, page_id, workspace_id ) # Generate content hash - content_hash = generate_content_hash(full_content, search_space_id) + content_hash = generate_content_hash(full_content, workspace_id) # Check if document with this unique identifier already exists existing_document = await check_document_by_unique_identifier( @@ -307,7 +307,7 @@ async def index_bookstack_pages( # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=page_name, document_type=DocumentType.BOOKSTACK_CONNECTOR, document_metadata={ diff --git a/surfsense_backend/app/tasks/connector_indexers/clickup_indexer.py b/surfsense_backend/app/tasks/connector_indexers/clickup_indexer.py index 91763129f..8d67cad9e 100644 --- a/surfsense_backend/app/tasks/connector_indexers/clickup_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/clickup_indexer.py @@ -44,7 +44,7 @@ HEARTBEAT_INTERVAL_SECONDS = 30 async def index_clickup_tasks( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -57,7 +57,7 @@ async def index_clickup_tasks( Args: session: Database session connector_id: ID of the ClickUp connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for filtering tasks (YYYY-MM-DD format) end_date: End date for filtering tasks (YYYY-MM-DD format) @@ -67,7 +67,7 @@ async def index_clickup_tasks( Returns: Tuple of (number of indexed tasks, error message if any) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -243,11 +243,11 @@ async def index_clickup_tasks( # Generate unique identifier hash for this ClickUp task unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.CLICKUP_CONNECTOR, task_id, search_space_id + DocumentType.CLICKUP_CONNECTOR, task_id, workspace_id ) # Generate content hash - content_hash = generate_content_hash(task_content, search_space_id) + content_hash = generate_content_hash(task_content, workspace_id) # Check if document with this unique identifier already exists existing_document = await check_document_by_unique_identifier( @@ -310,7 +310,7 @@ async def index_clickup_tasks( # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=task_name, document_type=DocumentType.CLICKUP_CONNECTOR, document_metadata={ diff --git a/surfsense_backend/app/tasks/connector_indexers/confluence_indexer.py b/surfsense_backend/app/tasks/connector_indexers/confluence_indexer.py index 53c438197..ec26757d4 100644 --- a/surfsense_backend/app/tasks/connector_indexers/confluence_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/confluence_indexer.py @@ -34,7 +34,7 @@ def _build_connector_doc( full_content: str, *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: """Map a raw Confluence page dict to a ConnectorDocument.""" @@ -58,7 +58,7 @@ def _build_connector_doc( source_markdown=full_content, unique_id=page_id, document_type=DocumentType.CONFLUENCE_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata=metadata, @@ -68,7 +68,7 @@ def _build_connector_doc( async def index_confluence_pages( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -76,7 +76,7 @@ async def index_confluence_pages( on_heartbeat_callback: HeartbeatCallbackType | None = None, ) -> tuple[int, int, str | None]: """Index Confluence pages and comments.""" - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="confluence_pages_indexing", source="connector_indexing_task", @@ -197,7 +197,7 @@ async def index_confluence_pages( title=page.get("title", ""), document_type=DocumentType.CONFLUENCE_CONNECTOR, unique_id=page.get("id", ""), - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -259,7 +259,7 @@ async def index_confluence_pages( page, full_content, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -309,7 +309,7 @@ async def index_confluence_pages( await mark_connector_documents_failed( session, document_type=DocumentType.CONFLUENCE_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=stuck_placeholders, ) diff --git a/surfsense_backend/app/tasks/connector_indexers/discord_indexer.py b/surfsense_backend/app/tasks/connector_indexers/discord_indexer.py index 8c5bd8f0e..564951abe 100644 --- a/surfsense_backend/app/tasks/connector_indexers/discord_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/discord_indexer.py @@ -116,7 +116,7 @@ def _build_batch_document_string( async def index_discord_messages( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -139,7 +139,7 @@ async def index_discord_messages( Args: session: Database session connector_id: ID of the Discord connector - search_space_id: ID of the search space to store documents in + workspace_id: ID of the workspace to store documents in user_id: ID of the user start_date: Start date for indexing (YYYY-MM-DD format) end_date: End date for indexing (YYYY-MM-DD format) @@ -150,7 +150,7 @@ async def index_discord_messages( Returns: Tuple containing (number of documents indexed, error message or None) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -506,12 +506,12 @@ async def index_discord_messages( unique_identifier_hash = generate_unique_identifier_hash( DocumentType.DISCORD_CONNECTOR, unique_identifier, - search_space_id, + workspace_id, ) # Generate content hash content_hash = generate_content_hash( - combined_document_string, search_space_id + combined_document_string, workspace_id ) # Check if document with this unique identifier already exists @@ -579,7 +579,7 @@ async def index_discord_messages( # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=f"{guild_name}#{channel_name}", document_type=DocumentType.DISCORD_CONNECTOR, document_metadata={ diff --git a/surfsense_backend/app/tasks/connector_indexers/dropbox_indexer.py b/surfsense_backend/app/tasks/connector_indexers/dropbox_indexer.py index 9bf290d85..4eb44b976 100644 --- a/surfsense_backend/app/tasks/connector_indexers/dropbox_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/dropbox_indexer.py @@ -46,7 +46,7 @@ logger = logging.getLogger(__name__) async def _should_skip_file( session: AsyncSession, file: dict, - search_space_id: int, + workspace_id: int, ) -> tuple[bool, str | None]: """Pre-filter: detect unchanged / rename-only files.""" file_id = file.get("id", "") @@ -61,14 +61,14 @@ async def _should_skip_file( return True, "missing file_id" primary_hash = compute_identifier_hash( - DocumentType.DROPBOX_FILE.value, file_id, search_space_id + DocumentType.DROPBOX_FILE.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier(session, primary_hash) if not existing: result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.DROPBOX_FILE, cast(Document.document_metadata["dropbox_file_id"], String) == file_id, ) @@ -130,7 +130,7 @@ def _build_connector_doc( dropbox_metadata: dict, *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: file_id = file.get("id", "") @@ -148,7 +148,7 @@ def _build_connector_doc( source_markdown=markdown, unique_id=file_id, document_type=DocumentType.DROPBOX_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata=metadata, @@ -160,7 +160,7 @@ async def _download_files_parallel( files: list[dict], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, max_concurrency: int = 3, on_heartbeat: HeartbeatCallbackType | None = None, @@ -194,7 +194,7 @@ async def _download_files_parallel( markdown, db_metadata, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) async with hb_lock: @@ -239,7 +239,7 @@ async def _download_and_index( files: list[dict], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, on_heartbeat: HeartbeatCallbackType | None = None, vision_llm=None, @@ -249,7 +249,7 @@ async def _download_and_index( dropbox_client, files, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat, vision_llm=vision_llm, @@ -260,7 +260,7 @@ async def _download_and_index( await mark_connector_documents_failed( session, document_type=DocumentType.DROPBOX_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=failed_files, ) @@ -277,17 +277,17 @@ async def _download_and_index( return batch_indexed, len(failed_files) + batch_failed -async def _remove_document(session: AsyncSession, file_id: str, search_space_id: int): +async def _remove_document(session: AsyncSession, file_id: str, workspace_id: int): """Remove a document that was deleted in Dropbox.""" primary_hash = compute_identifier_hash( - DocumentType.DROPBOX_FILE.value, file_id, search_space_id + DocumentType.DROPBOX_FILE.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier(session, primary_hash) if not existing: result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.DROPBOX_FILE, cast(Document.document_metadata["dropbox_file_id"], String) == file_id, ) @@ -302,7 +302,7 @@ async def _index_with_delta_sync( dropbox_client: DropboxClient, session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, cursor: str, task_logger: TaskLoggingService, @@ -354,14 +354,14 @@ async def _index_with_delta_sync( name = entry.get("name", "") file_id = entry.get("id", "") if file_id: - await _remove_document(session, file_id, search_space_id) + await _remove_document(session, file_id, workspace_id) logger.debug(f"Processed deletion: {name or path_lower}") continue if tag != "file": continue - skip, msg = await _should_skip_file(session, entry, search_space_id) + skip, msg = await _should_skip_file(session, entry, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -378,7 +378,7 @@ async def _index_with_delta_sync( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat_callback, vision_llm=vision_llm, @@ -396,7 +396,7 @@ async def _index_full_scan( dropbox_client: DropboxClient, session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, folder_path: str, folder_name: str, @@ -448,7 +448,7 @@ async def _index_full_scan( for file in all_files[:max_files]: if incremental_sync: - skip, msg = await _should_skip_file(session, file, search_space_id) + skip, msg = await _should_skip_file(session, file, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -491,7 +491,7 @@ async def _index_full_scan( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat_callback, vision_llm=vision_llm, @@ -517,7 +517,7 @@ async def _index_selected_files( file_paths: list[tuple[str, str | None]], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, incremental_sync: bool = True, on_heartbeat: HeartbeatCallbackType | None = None, @@ -542,7 +542,7 @@ async def _index_selected_files( continue if incremental_sync: - skip, msg = await _should_skip_file(session, file, search_space_id) + skip, msg = await _should_skip_file(session, file, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -580,7 +580,7 @@ async def _index_selected_files( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat, vision_llm=vision_llm, @@ -598,7 +598,7 @@ async def _index_selected_files( async def index_dropbox_files( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, ) -> tuple[int, int, str | None, int]: @@ -615,7 +615,7 @@ async def index_dropbox_files( } } """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="dropbox_files_indexing", source="connector_indexing_task", @@ -650,7 +650,7 @@ async def index_dropbox_files( if connector_enable_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm = await get_vision_llm(session, search_space_id) + vision_llm = await get_vision_llm(session, workspace_id) dropbox_client = DropboxClient(session, connector_id) @@ -677,7 +677,7 @@ async def index_dropbox_files( session, file_tuples, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, incremental_sync=incremental_sync, vision_llm=vision_llm, @@ -708,7 +708,7 @@ async def index_dropbox_files( dropbox_client, session, connector_id, - search_space_id, + workspace_id, user_id, saved_cursor, task_logger, @@ -724,7 +724,7 @@ async def index_dropbox_files( dropbox_client, session, connector_id, - search_space_id, + workspace_id, user_id, folder_path, folder_name, diff --git a/surfsense_backend/app/tasks/connector_indexers/elasticsearch_indexer.py b/surfsense_backend/app/tasks/connector_indexers/elasticsearch_indexer.py index ba0aa3445..ed0553b28 100644 --- a/surfsense_backend/app/tasks/connector_indexers/elasticsearch_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/elasticsearch_indexer.py @@ -45,7 +45,7 @@ logger = logging.getLogger(__name__) async def index_elasticsearch_documents( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str, end_date: str, @@ -58,7 +58,7 @@ async def index_elasticsearch_documents( Args: session: Database session connector_id: Elasticsearch connector ID - search_space_id: Search space ID + workspace_id: Workspace ID user_id: User ID start_date: Start date for indexing (not used for Elasticsearch, kept for compatibility) end_date: End date for indexing (not used for Elasticsearch, kept for compatibility) @@ -68,7 +68,7 @@ async def index_elasticsearch_documents( Returns: Tuple of (number of documents processed, error message if any) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="elasticsearch_indexing", source="connector_indexing_task", @@ -231,14 +231,14 @@ async def index_elasticsearch_documents( continue # Create content hash - content_hash = generate_content_hash(content, search_space_id) + content_hash = generate_content_hash(content, workspace_id) # Build source-unique identifier and hash (prefer source id dedupe) source_identifier = f"{hit.get('_index', index_name)}:{doc_id}" unique_identifier_hash = generate_unique_identifier_hash( DocumentType.ELASTICSEARCH_CONNECTOR, source_identifier, - search_space_id, + workspace_id, ) # Two-step duplicate detection: first by source-unique id, then by content hash @@ -304,7 +304,7 @@ async def index_elasticsearch_documents( unique_identifier_hash=unique_identifier_hash, document_type=DocumentType.ELASTICSEARCH_CONNECTOR, document_metadata=metadata, - search_space_id=search_space_id, + workspace_id=workspace_id, embedding=None, chunks=[], # Empty at creation - safe for async status=DocumentStatus.pending(), # Pending until processing starts diff --git a/surfsense_backend/app/tasks/connector_indexers/github_indexer.py b/surfsense_backend/app/tasks/connector_indexers/github_indexer.py index 557c2ce71..423f5dc1d 100644 --- a/surfsense_backend/app/tasks/connector_indexers/github_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/github_indexer.py @@ -51,7 +51,7 @@ MAX_DIGEST_CHARS = 500_000 # ~125k tokens async def index_github_repos( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, # Ignored - GitHub indexes full repo snapshots end_date: str | None = None, # Ignored - GitHub indexes full repo snapshots @@ -71,7 +71,7 @@ async def index_github_repos( Args: session: Database session connector_id: ID of the GitHub connector - search_space_id: ID of the search space to store documents in + workspace_id: ID of the workspace to store documents in user_id: ID of the user start_date: Ignored - kept for API compatibility end_date: Ignored - kept for API compatibility @@ -83,7 +83,7 @@ async def index_github_repos( """ # Note: start_date and end_date are intentionally unused _ = start_date, end_date - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -220,12 +220,12 @@ async def index_github_repos( # Generate unique identifier based on repo name unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.GITHUB_CONNECTOR, repo_full_name, search_space_id + DocumentType.GITHUB_CONNECTOR, repo_full_name, workspace_id ) # Generate content hash from digest full_content = digest.full_digest - content_hash = generate_content_hash(full_content, search_space_id) + content_hash = generate_content_hash(full_content, workspace_id) # Check if document with this unique identifier already exists existing_document = await check_document_by_unique_identifier( @@ -278,7 +278,7 @@ async def index_github_repos( # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=repo_full_name, document_type=DocumentType.GITHUB_CONNECTOR, document_metadata={ diff --git a/surfsense_backend/app/tasks/connector_indexers/google_calendar_indexer.py b/surfsense_backend/app/tasks/connector_indexers/google_calendar_indexer.py index 51df39171..c70849a08 100644 --- a/surfsense_backend/app/tasks/connector_indexers/google_calendar_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/google_calendar_indexer.py @@ -51,7 +51,7 @@ def _build_connector_doc( event_markdown: str, *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: """Map a raw Google Calendar API event dict to a ConnectorDocument.""" @@ -82,7 +82,7 @@ def _build_connector_doc( source_markdown=event_markdown, unique_id=event_id, document_type=DocumentType.GOOGLE_CALENDAR_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata=metadata, @@ -92,7 +92,7 @@ def _build_connector_doc( async def index_google_calendar_events( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -105,7 +105,7 @@ async def index_google_calendar_events( Args: session: Database session connector_id: ID of the Google Calendar connector - search_space_id: ID of the search space to store documents in + workspace_id: ID of the workspace to store documents in user_id: User ID start_date: Start date for indexing (YYYY-MM-DD format). Can be in the past or future. end_date: End date for indexing (YYYY-MM-DD format). Can be in the future to index upcoming events. @@ -116,7 +116,7 @@ async def index_google_calendar_events( Returns: Tuple containing (number of documents indexed, number of documents skipped, error message or None) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="google_calendar_events_indexing", @@ -374,7 +374,7 @@ async def index_google_calendar_events( title=event.get("summary", "No Title"), document_type=DocumentType.GOOGLE_CALENDAR_CONNECTOR, unique_id=event.get("id", ""), - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -413,7 +413,7 @@ async def index_google_calendar_events( event, event_markdown, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -462,7 +462,7 @@ async def index_google_calendar_events( await mark_connector_documents_failed( session, document_type=DocumentType.GOOGLE_CALENDAR_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=stuck_placeholders, ) diff --git a/surfsense_backend/app/tasks/connector_indexers/google_drive_indexer.py b/surfsense_backend/app/tasks/connector_indexers/google_drive_indexer.py index 37de66ffd..d6efd847b 100644 --- a/surfsense_backend/app/tasks/connector_indexers/google_drive_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/google_drive_indexer.py @@ -273,7 +273,7 @@ def _build_drive_client_for_connector( async def _should_skip_file( session: AsyncSession, file: dict, - search_space_id: int, + workspace_id: int, ) -> tuple[bool, str | None]: """Pre-filter: detect unchanged / rename-only files. @@ -295,13 +295,13 @@ async def _should_skip_file( # --- locate existing document --- primary_hash = compute_identifier_hash( - DocumentType.GOOGLE_DRIVE_FILE.value, file_id, search_space_id + DocumentType.GOOGLE_DRIVE_FILE.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier(session, primary_hash) if not existing: legacy_hash = compute_identifier_hash( - DocumentType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR.value, file_id, search_space_id + DocumentType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier(session, legacy_hash) if existing: @@ -313,7 +313,7 @@ async def _should_skip_file( if not existing: result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type.in_( [ DocumentType.GOOGLE_DRIVE_FILE, @@ -385,7 +385,7 @@ def _build_connector_doc( drive_metadata: dict, *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: """Build a ConnectorDocument from Drive file metadata + extracted markdown.""" @@ -404,7 +404,7 @@ def _build_connector_doc( source_markdown=markdown, unique_id=file_id, document_type=DocumentType.GOOGLE_DRIVE_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata=metadata, @@ -416,7 +416,7 @@ async def _create_drive_placeholders( files: list[dict], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> None: """Create placeholder document rows for discovered Drive files. @@ -438,7 +438,7 @@ async def _create_drive_placeholders( title=file_name, document_type=DocumentType.GOOGLE_DRIVE_FILE, unique_id=file_id, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -460,7 +460,7 @@ async def _download_files_parallel( files: list[dict], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, max_concurrency: int = 3, on_heartbeat: HeartbeatCallbackType | None = None, @@ -494,7 +494,7 @@ async def _download_files_parallel( markdown, drive_metadata, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) async with hb_lock: @@ -538,7 +538,7 @@ async def _process_single_file( session: AsyncSession, file: dict, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, vision_llm=None, ) -> tuple[int, int, int]: @@ -549,7 +549,7 @@ async def _process_single_file( file_name = file.get("name", "Unknown") try: - skip, msg = await _should_skip_file(session, file, search_space_id) + skip, msg = await _should_skip_file(session, file, workspace_id) if skip: if msg and "renamed" in msg.lower(): return 1, 0, 0 @@ -572,7 +572,7 @@ async def _process_single_file( await mark_connector_documents_failed( session, document_type=DocumentType.GOOGLE_DRIVE_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=[(file_id, f"Download/ETL failed: {reason}")], ) return 0, 1, 0 @@ -582,7 +582,7 @@ async def _process_single_file( markdown, drive_metadata, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -611,23 +611,23 @@ async def _process_single_file( return 0, 0, 1 -async def _remove_document(session: AsyncSession, file_id: str, search_space_id: int): +async def _remove_document(session: AsyncSession, file_id: str, workspace_id: int): """Remove a document that was deleted in Drive.""" primary_hash = compute_identifier_hash( - DocumentType.GOOGLE_DRIVE_FILE.value, file_id, search_space_id + DocumentType.GOOGLE_DRIVE_FILE.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier(session, primary_hash) if not existing: legacy_hash = compute_identifier_hash( - DocumentType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR.value, file_id, search_space_id + DocumentType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier(session, legacy_hash) if not existing: result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type.in_( [ DocumentType.GOOGLE_DRIVE_FILE, @@ -651,7 +651,7 @@ async def _download_and_index( files: list[dict], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, on_heartbeat: HeartbeatCallbackType | None = None, vision_llm=None, @@ -664,7 +664,7 @@ async def _download_and_index( drive_client, files, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat, vision_llm=vision_llm, @@ -676,7 +676,7 @@ async def _download_and_index( await mark_connector_documents_failed( session, document_type=DocumentType.GOOGLE_DRIVE_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=failed_files, ) @@ -699,7 +699,7 @@ async def _index_selected_files( file_ids: list[tuple[str, str | None]], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, on_heartbeat: HeartbeatCallbackType | None = None, vision_llm=None, @@ -728,7 +728,7 @@ async def _index_selected_files( errors.append(f"File '{display}': {error or 'File not found'}") continue - skip, msg = await _should_skip_file(session, file, search_space_id) + skip, msg = await _should_skip_file(session, file, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -757,7 +757,7 @@ async def _index_selected_files( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -766,7 +766,7 @@ async def _index_selected_files( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat, vision_llm=vision_llm, @@ -791,7 +791,7 @@ async def _index_full_scan( session: AsyncSession, connector: object, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, folder_id: str | None, folder_name: str, @@ -865,7 +865,7 @@ async def _index_full_scan( files_processed += 1 - skip, msg = await _should_skip_file(session, file, search_space_id) + skip, msg = await _should_skip_file(session, file, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -920,7 +920,7 @@ async def _index_full_scan( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -932,7 +932,7 @@ async def _index_full_scan( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat_callback, vision_llm=vision_llm, @@ -957,7 +957,7 @@ async def _index_with_delta_sync( session: AsyncSession, connector: object, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, folder_id: str | None, start_page_token: str, @@ -1018,14 +1018,14 @@ async def _index_with_delta_sync( if change_type in ["removed", "trashed"]: fid = change.get("fileId") if fid: - await _remove_document(session, fid, search_space_id) + await _remove_document(session, fid, workspace_id) continue file = change.get("file") if not file: continue - skip, msg = await _should_skip_file(session, file, search_space_id) + skip, msg = await _should_skip_file(session, file, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -1062,7 +1062,7 @@ async def _index_with_delta_sync( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -1074,7 +1074,7 @@ async def _index_with_delta_sync( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat_callback, vision_llm=vision_llm, @@ -1102,7 +1102,7 @@ async def _index_with_delta_sync( async def index_google_drive_files( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, folder_id: str | None = None, folder_name: str | None = None, @@ -1116,7 +1116,7 @@ async def index_google_drive_files( Returns (indexed, skipped, error_or_none, unsupported_count). """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="google_drive_files_indexing", source="connector_indexing_task", @@ -1166,7 +1166,7 @@ async def index_google_drive_files( if connector_enable_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm = await get_vision_llm(session, search_space_id) + vision_llm = await get_vision_llm(session, workspace_id) if not folder_id: error_msg = "folder_id is required for Google Drive indexing" await task_logger.log_task_failure( @@ -1198,7 +1198,7 @@ async def index_google_drive_files( session, connector, connector_id, - search_space_id, + workspace_id, user_id, target_folder_id, start_page_token, @@ -1216,7 +1216,7 @@ async def index_google_drive_files( session, connector, connector_id, - search_space_id, + workspace_id, user_id, target_folder_id, target_folder_name, @@ -1241,7 +1241,7 @@ async def index_google_drive_files( session, connector, connector_id, - search_space_id, + workspace_id, user_id, target_folder_id, target_folder_name, @@ -1317,13 +1317,13 @@ async def index_google_drive_files( async def index_google_drive_single_file( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, file_id: str, file_name: str | None = None, ) -> tuple[int, str | None]: """Index a single Google Drive file by its ID.""" - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="google_drive_single_file_indexing", source="connector_indexing_task", @@ -1366,7 +1366,7 @@ async def index_google_drive_single_file( if connector_enable_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm = await get_vision_llm(session, search_space_id) + vision_llm = await get_vision_llm(session, workspace_id) file, error = await get_file_by_id(drive_client, file_id) if error or not file: error_msg = f"Failed to fetch file {file_id}: {error or 'File not found'}" @@ -1382,7 +1382,7 @@ async def index_google_drive_single_file( session, file, connector_id, - search_space_id, + workspace_id, user_id, vision_llm=vision_llm, ) @@ -1430,7 +1430,7 @@ async def index_google_drive_single_file( async def index_google_drive_selected_files( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, files: list[tuple[str, str | None]], on_heartbeat_callback: HeartbeatCallbackType | None = None, @@ -1442,7 +1442,7 @@ async def index_google_drive_selected_files( Returns (indexed_count, skipped_count, errors). """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="google_drive_selected_files_indexing", source="connector_indexing_task", @@ -1485,13 +1485,13 @@ async def index_google_drive_selected_files( if connector_enable_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm = await get_vision_llm(session, search_space_id) + vision_llm = await get_vision_llm(session, workspace_id) indexed, skipped, unsupported, errors = await _index_selected_files( drive_client, session, files, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat_callback, vision_llm=vision_llm, diff --git a/surfsense_backend/app/tasks/connector_indexers/google_gmail_indexer.py b/surfsense_backend/app/tasks/connector_indexers/google_gmail_indexer.py index 25da96b61..3f5fad889 100644 --- a/surfsense_backend/app/tasks/connector_indexers/google_gmail_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/google_gmail_indexer.py @@ -103,7 +103,7 @@ def _build_connector_doc( markdown_content: str, *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: """Map a raw Gmail API message dict to a ConnectorDocument.""" @@ -142,7 +142,7 @@ def _build_connector_doc( source_markdown=markdown_content, unique_id=message_id, document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata=metadata, @@ -152,7 +152,7 @@ def _build_connector_doc( async def index_google_gmail_messages( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -166,7 +166,7 @@ async def index_google_gmail_messages( Args: session: Database session connector_id: ID of the Gmail connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user start_date: Start date for filtering messages (YYYY-MM-DD format) end_date: End date for filtering messages (YYYY-MM-DD format) @@ -177,7 +177,7 @@ async def index_google_gmail_messages( Returns: Tuple of (number_of_indexed_messages, number_of_skipped_messages, status_message) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="google_gmail_messages_indexing", @@ -401,7 +401,7 @@ async def index_google_gmail_messages( title=_gmail_subject(msg), document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id=msg.get("id", ""), - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -443,7 +443,7 @@ async def index_google_gmail_messages( message, markdown_content, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -493,7 +493,7 @@ async def index_google_gmail_messages( await mark_connector_documents_failed( session, document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=stuck_placeholders, ) diff --git a/surfsense_backend/app/tasks/connector_indexers/linear_indexer.py b/surfsense_backend/app/tasks/connector_indexers/linear_indexer.py index 2bde77f79..5ce85251b 100644 --- a/surfsense_backend/app/tasks/connector_indexers/linear_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/linear_indexer.py @@ -39,7 +39,7 @@ def _build_connector_doc( issue_content: str, *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: """Map a raw Linear issue dict to a ConnectorDocument.""" @@ -67,7 +67,7 @@ def _build_connector_doc( source_markdown=issue_content, unique_id=issue_id, document_type=DocumentType.LINEAR_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata=metadata, @@ -77,7 +77,7 @@ def _build_connector_doc( async def index_linear_issues( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -90,7 +90,7 @@ async def index_linear_issues( Returns: Tuple of (indexed_count, skipped_count, warning_or_error_message) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="linear_issues_indexing", @@ -213,7 +213,7 @@ async def index_linear_issues( title=f"{issue.get('identifier', '')}: {issue.get('title', '')}", document_type=DocumentType.LINEAR_CONNECTOR, unique_id=issue.get("id", ""), - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -267,7 +267,7 @@ async def index_linear_issues( formatted_issue, issue_content, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -317,7 +317,7 @@ async def index_linear_issues( await mark_connector_documents_failed( session, document_type=DocumentType.LINEAR_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=stuck_placeholders, ) diff --git a/surfsense_backend/app/tasks/connector_indexers/local_folder_indexer.py b/surfsense_backend/app/tasks/connector_indexers/local_folder_indexer.py index 2505fa7c4..18c99b4df 100644 --- a/surfsense_backend/app/tasks/connector_indexers/local_folder_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/local_folder_indexer.py @@ -173,15 +173,15 @@ async def _read_file_content( return result.markdown_content -def _content_hash(content: str, search_space_id: int) -> str: - """SHA-256 hash of content scoped to a search space. +def _content_hash(content: str, workspace_id: int) -> str: + """SHA-256 hash of content scoped to a workspace. Matches the format used by ``compute_content_hash`` in the unified pipeline so that dedup checks are consistent. """ import hashlib - return hashlib.sha256(f"{search_space_id}:{content}".encode()).hexdigest() + return hashlib.sha256(f"{workspace_id}:{content}".encode()).hexdigest() def _compute_raw_file_hash(file_path: str) -> str: @@ -203,7 +203,7 @@ def _compute_raw_file_hash(file_path: str) -> str: async def _compute_file_content_hash( file_path: str, filename: str, - search_space_id: int, + workspace_id: int, *, vision_llm=None, processing_mode: str = "basic", @@ -215,14 +215,14 @@ async def _compute_file_content_hash( content = await _read_file_content( file_path, filename, vision_llm=vision_llm, processing_mode=processing_mode ) - return content, _content_hash(content, search_space_id) + return content, _content_hash(content, workspace_id) async def _mirror_folder_structure( session: AsyncSession, folder_path: str, folder_name: str, - search_space_id: int, + workspace_id: int, user_id: str, root_folder_id: int | None = None, exclude_patterns: list[str] | None = None, @@ -262,7 +262,7 @@ async def _mirror_folder_structure( if not root_folder_id: root_folder = Folder( name=folder_name, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user_id, position="a0", ) @@ -283,7 +283,7 @@ async def _mirror_folder_structure( select(Folder).where( Folder.name == dir_name, Folder.parent_id == parent_id, - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, ) ) ).scalar_one_or_none() @@ -294,7 +294,7 @@ async def _mirror_folder_structure( new_folder = Folder( name=dir_name, parent_id=parent_id, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user_id, position="a0", ) @@ -310,7 +310,7 @@ async def _resolve_folder_for_file( session: AsyncSession, rel_path: str, root_folder_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> int: """Given a file's relative path, ensure all parent Folder rows exist and @@ -333,7 +333,7 @@ async def _resolve_folder_for_file( select(Folder).where( Folder.name == part, Folder.parent_id == current_parent_id, - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, ) ) ).scalar_one_or_none() @@ -344,7 +344,7 @@ async def _resolve_folder_for_file( new_folder = Folder( name=part, parent_id=current_parent_id, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user_id, position="a0", ) @@ -416,7 +416,7 @@ async def _cleanup_empty_folder_chain( async def _cleanup_empty_folders( session: AsyncSession, root_folder_id: int, - search_space_id: int, + workspace_id: int, existing_dirs_on_disk: set[str], folder_mapping: dict[str, int], subtree_ids: list[int] | None = None, @@ -427,7 +427,7 @@ async def _cleanup_empty_folders( id_to_rel: dict[int, str] = {fid: rel for rel, fid in folder_mapping.items() if rel} query = select(Folder).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, Folder.id != root_folder_id, ) if subtree_ids is not None: @@ -476,7 +476,7 @@ def _build_connector_doc( relative_path: str, folder_name: str, *, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: """Build a ConnectorDocument from a local file's extracted content.""" @@ -493,7 +493,7 @@ def _build_connector_doc( source_markdown=content, unique_id=unique_id, document_type=DocumentType.LOCAL_FOLDER_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=None, created_by_id=user_id, metadata=metadata, @@ -502,7 +502,7 @@ def _build_connector_doc( async def index_local_folder( session: AsyncSession, - search_space_id: int, + workspace_id: int, user_id: str, folder_path: str, folder_name: str, @@ -521,7 +521,7 @@ async def index_local_folder( Returns (indexed_count, skipped_count, root_folder_id, error_or_warning_message). """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="local_folder_indexing", @@ -564,7 +564,7 @@ async def index_local_folder( if len(target_file_paths) == 1: indexed, skipped, err = await _index_single_file( session=session, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, folder_path=folder_path, folder_name=folder_name, @@ -576,7 +576,7 @@ async def index_local_folder( return indexed, skipped, root_folder_id, err indexed, failed, err = await _index_batch_files( - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, folder_path=folder_path, folder_name=folder_name, @@ -613,7 +613,7 @@ async def index_local_folder( session=session, folder_path=folder_path, folder_name=folder_name, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, root_folder_id=root_folder_id, exclude_patterns=exclude_patterns, @@ -654,7 +654,7 @@ async def index_local_folder( unique_identifier_hash = compute_identifier_hash( DocumentType.LOCAL_FOLDER_FILE.value, unique_identifier, - search_space_id, + workspace_id, ) seen_unique_hashes.add(unique_identifier_hash) @@ -709,7 +709,7 @@ async def index_local_folder( content, content_hash = await _compute_file_content_hash( file_path_abs, file_info["relative_path"], - search_space_id, + workspace_id, ) except Exception as read_err: logger.warning(f"Could not read {file_path_abs}: {read_err}") @@ -745,7 +745,7 @@ async def index_local_folder( content, content_hash = await _compute_file_content_hash( file_path_abs, file_info["relative_path"], - search_space_id, + workspace_id, ) except Exception as read_err: logger.warning(f"Could not read {file_path_abs}: {read_err}") @@ -765,7 +765,7 @@ async def index_local_folder( content=content, relative_path=relative_path, folder_name=folder_name, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) connector_docs.append(doc) @@ -789,7 +789,7 @@ async def index_local_folder( ( await session.execute( select(Folder.id).where( - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, ) ) ) @@ -803,7 +803,7 @@ async def index_local_folder( await session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.folder_id.in_(list(all_root_folder_ids)), ) ) @@ -886,7 +886,7 @@ async def index_local_folder( await _cleanup_empty_folders( session, root_fid, - search_space_id, + workspace_id, existing_dirs, folder_mapping, subtree_ids=subtree_ids, @@ -943,7 +943,7 @@ BATCH_CONCURRENCY = 5 async def _index_batch_files( - search_space_id: int, + workspace_id: int, user_id: str, folder_path: str, folder_name: str, @@ -968,7 +968,7 @@ async def _index_batch_files( async with semaphore: try: async with get_celery_session_maker()() as file_session: - task_logger = TaskLoggingService(file_session, search_space_id) + task_logger = TaskLoggingService(file_session, workspace_id) log_entry = await task_logger.log_task_start( task_name="local_folder_indexing", source="local_folder_batch_indexing", @@ -977,7 +977,7 @@ async def _index_batch_files( ) ix, _sk, err = await _index_single_file( session=file_session, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, folder_path=folder_path, folder_name=folder_name, @@ -1017,7 +1017,7 @@ async def _index_batch_files( async def _index_single_file( session: AsyncSession, - search_space_id: int, + workspace_id: int, user_id: str, folder_path: str, folder_name: str, @@ -1033,7 +1033,7 @@ async def _index_single_file( rel = str(full_path.relative_to(folder_path)) unique_id = f"{folder_name}:{rel}" uid_hash = compute_identifier_hash( - DocumentType.LOCAL_FOLDER_FILE.value, unique_id, search_space_id + DocumentType.LOCAL_FOLDER_FILE.value, unique_id, workspace_id ) existing = await check_document_by_unique_identifier(session, uid_hash) if existing: @@ -1052,7 +1052,7 @@ async def _index_single_file( unique_id = f"{folder_name}:{rel_path}" uid_hash = compute_identifier_hash( - DocumentType.LOCAL_FOLDER_FILE.value, unique_id, search_space_id + DocumentType.LOCAL_FOLDER_FILE.value, unique_id, workspace_id ) raw_hash = await asyncio.to_thread(_compute_raw_file_hash, str(full_path)) @@ -1081,7 +1081,7 @@ async def _index_single_file( try: content, content_hash = await _compute_file_content_hash( - str(full_path), full_path.name, search_space_id + str(full_path), full_path.name, workspace_id ) except Exception as e: return 0, 1, f"Could not read file: {e}" @@ -1108,13 +1108,13 @@ async def _index_single_file( content=content, relative_path=rel_path, folder_name=folder_name, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) if root_folder_id: connector_doc.folder_id = await _resolve_folder_for_file( - session, rel_path, root_folder_id, search_space_id, user_id + session, rel_path, root_folder_id, workspace_id, user_id ) pipeline = IndexingPipelineService(session) @@ -1166,7 +1166,7 @@ async def _mirror_folder_structure_from_paths( session: AsyncSession, relative_paths: list[str], folder_name: str, - search_space_id: int, + workspace_id: int, user_id: str, root_folder_id: int | None = None, ) -> tuple[dict[str, int], int]: @@ -1203,7 +1203,7 @@ async def _mirror_folder_structure_from_paths( if not root_folder_id: root_folder = Folder( name=folder_name, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user_id, position="a0", ) @@ -1224,7 +1224,7 @@ async def _mirror_folder_structure_from_paths( select(Folder).where( Folder.name == dir_name, Folder.parent_id == parent_id, - Folder.search_space_id == search_space_id, + Folder.workspace_id == workspace_id, ) ) ).scalar_one_or_none() @@ -1235,7 +1235,7 @@ async def _mirror_folder_structure_from_paths( new_folder = Folder( name=dir_name, parent_id=parent_id, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=user_id, position="a0", ) @@ -1252,7 +1252,7 @@ UPLOAD_BATCH_CONCURRENCY = 5 async def index_uploaded_files( session: AsyncSession, - search_space_id: int, + workspace_id: int, user_id: str, folder_name: str, root_folder_id: int, @@ -1274,7 +1274,7 @@ async def index_uploaded_files( mode = ProcessingMode.coerce(processing_mode) - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="local_folder_indexing", source="uploaded_folder_indexing", @@ -1288,7 +1288,7 @@ async def index_uploaded_files( session=session, relative_paths=all_relative_paths, folder_name=folder_name, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, root_folder_id=root_folder_id, ) @@ -1303,7 +1303,7 @@ async def index_uploaded_files( if use_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm_instance = await get_vision_llm(session, search_space_id) + vision_llm_instance = await get_vision_llm(session, workspace_id) indexed_count = 0 failed_count = 0 @@ -1319,7 +1319,7 @@ async def index_uploaded_files( uid_hash = compute_identifier_hash( DocumentType.LOCAL_FOLDER_FILE.value, unique_id, - search_space_id, + workspace_id, ) raw_hash = await asyncio.to_thread(_compute_raw_file_hash, temp_path) @@ -1357,7 +1357,7 @@ async def index_uploaded_files( content, content_hash = await _compute_file_content_hash( temp_path, filename, - search_space_id, + workspace_id, vision_llm=vision_llm_instance, processing_mode=mode.value, ) @@ -1391,7 +1391,7 @@ async def index_uploaded_files( content=content, relative_path=relative_path, folder_name=folder_name, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -1399,7 +1399,7 @@ async def index_uploaded_files( session, relative_path, root_folder_id, - search_space_id, + workspace_id, user_id, ) diff --git a/surfsense_backend/app/tasks/connector_indexers/luma_indexer.py b/surfsense_backend/app/tasks/connector_indexers/luma_indexer.py index eab2c9793..79a81f319 100644 --- a/surfsense_backend/app/tasks/connector_indexers/luma_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/luma_indexer.py @@ -45,7 +45,7 @@ HEARTBEAT_INTERVAL_SECONDS = 30 async def index_luma_events( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -58,7 +58,7 @@ async def index_luma_events( Args: session: Database session connector_id: ID of the Luma connector - search_space_id: ID of the search space to store documents in + workspace_id: ID of the workspace to store documents in user_id: User ID start_date: Start date for indexing (YYYY-MM-DD format). Can be in the past or future. end_date: End date for indexing (YYYY-MM-DD format). Can be in the future to index upcoming events. @@ -69,7 +69,7 @@ async def index_luma_events( Returns: Tuple containing (number of documents indexed, error message or None) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -290,11 +290,11 @@ async def index_luma_events( # Generate unique identifier hash for this Luma event unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.LUMA_CONNECTOR, event_id, search_space_id + DocumentType.LUMA_CONNECTOR, event_id, workspace_id ) # Generate content hash - content_hash = generate_content_hash(event_markdown, search_space_id) + content_hash = generate_content_hash(event_markdown, workspace_id) # Check if document with this unique identifier already exists existing_document = await check_document_by_unique_identifier( @@ -355,7 +355,7 @@ async def index_luma_events( # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=event_name, document_type=DocumentType.LUMA_CONNECTOR, document_metadata={ diff --git a/surfsense_backend/app/tasks/connector_indexers/notion_indexer.py b/surfsense_backend/app/tasks/connector_indexers/notion_indexer.py index 9ebafbcdb..21e67af73 100644 --- a/surfsense_backend/app/tasks/connector_indexers/notion_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/notion_indexer.py @@ -41,7 +41,7 @@ def _build_connector_doc( markdown_content: str, *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: """Map a raw Notion page dict to a ConnectorDocument.""" @@ -61,7 +61,7 @@ def _build_connector_doc( source_markdown=markdown_content, unique_id=page_id, document_type=DocumentType.NOTION_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata=metadata, @@ -71,7 +71,7 @@ def _build_connector_doc( async def index_notion_pages( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -85,7 +85,7 @@ async def index_notion_pages( Returns: Tuple of (indexed_count, skipped_count, warning_or_error_message) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="notion_pages_indexing", @@ -255,7 +255,7 @@ async def index_notion_pages( title=page.get("title", f"Untitled page ({page.get('page_id', '')})"), document_type=DocumentType.NOTION_CONNECTOR, unique_id=page.get("page_id", ""), - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -307,7 +307,7 @@ async def index_notion_pages( page, markdown_content, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) @@ -357,7 +357,7 @@ async def index_notion_pages( await mark_connector_documents_failed( session, document_type=DocumentType.NOTION_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=stuck_placeholders, ) diff --git a/surfsense_backend/app/tasks/connector_indexers/onedrive_indexer.py b/surfsense_backend/app/tasks/connector_indexers/onedrive_indexer.py index 1a83551fb..395b98746 100644 --- a/surfsense_backend/app/tasks/connector_indexers/onedrive_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/onedrive_indexer.py @@ -51,7 +51,7 @@ logger = logging.getLogger(__name__) async def _should_skip_file( session: AsyncSession, file: dict, - search_space_id: int, + workspace_id: int, ) -> tuple[bool, str | None]: """Pre-filter: detect unchanged / rename-only files.""" file_id = file.get("id") @@ -66,14 +66,14 @@ async def _should_skip_file( return True, "missing file_id" primary_hash = compute_identifier_hash( - DocumentType.ONEDRIVE_FILE.value, file_id, search_space_id + DocumentType.ONEDRIVE_FILE.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier(session, primary_hash) if not existing: result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.ONEDRIVE_FILE, cast(Document.document_metadata["onedrive_file_id"], String) == file_id, ) @@ -137,7 +137,7 @@ def _build_connector_doc( onedrive_metadata: dict, *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, ) -> ConnectorDocument: file_id = file.get("id", "") @@ -155,7 +155,7 @@ def _build_connector_doc( source_markdown=markdown, unique_id=file_id, document_type=DocumentType.ONEDRIVE_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata=metadata, @@ -167,7 +167,7 @@ async def _download_files_parallel( files: list[dict], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, max_concurrency: int = 3, on_heartbeat: HeartbeatCallbackType | None = None, @@ -201,7 +201,7 @@ async def _download_files_parallel( markdown, od_metadata, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) async with hb_lock: @@ -246,7 +246,7 @@ async def _download_and_index( files: list[dict], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, on_heartbeat: HeartbeatCallbackType | None = None, vision_llm=None, @@ -256,7 +256,7 @@ async def _download_and_index( onedrive_client, files, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat, vision_llm=vision_llm, @@ -267,7 +267,7 @@ async def _download_and_index( await mark_connector_documents_failed( session, document_type=DocumentType.ONEDRIVE_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, failures=failed_files, ) @@ -284,17 +284,17 @@ async def _download_and_index( return batch_indexed, len(failed_files) + batch_failed -async def _remove_document(session: AsyncSession, file_id: str, search_space_id: int): +async def _remove_document(session: AsyncSession, file_id: str, workspace_id: int): """Remove a document that was deleted in OneDrive.""" primary_hash = compute_identifier_hash( - DocumentType.ONEDRIVE_FILE.value, file_id, search_space_id + DocumentType.ONEDRIVE_FILE.value, file_id, workspace_id ) existing = await check_document_by_unique_identifier(session, primary_hash) if not existing: result = await session.execute( select(Document).where( - Document.search_space_id == search_space_id, + Document.workspace_id == workspace_id, Document.document_type == DocumentType.ONEDRIVE_FILE, cast(Document.document_metadata["onedrive_file_id"], String) == file_id, ) @@ -312,7 +312,7 @@ async def _index_selected_files( file_ids: list[tuple[str, str | None]], *, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, on_heartbeat: HeartbeatCallbackType | None = None, vision_llm=None, @@ -335,7 +335,7 @@ async def _index_selected_files( errors.append(f"File '{display}': {error or 'File not found'}") continue - skip, msg = await _should_skip_file(session, file, search_space_id) + skip, msg = await _should_skip_file(session, file, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -365,7 +365,7 @@ async def _index_selected_files( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat, vision_llm=vision_llm, @@ -389,7 +389,7 @@ async def _index_full_scan( onedrive_client: OneDriveClient, session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, folder_id: str, folder_name: str, @@ -438,7 +438,7 @@ async def _index_full_scan( raise Exception(f"Failed to list OneDrive files: {error}") for file in all_files[:max_files]: - skip, msg = await _should_skip_file(session, file, search_space_id) + skip, msg = await _should_skip_file(session, file, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -473,7 +473,7 @@ async def _index_full_scan( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat_callback, vision_llm=vision_llm, @@ -497,7 +497,7 @@ async def _index_with_delta_sync( onedrive_client: OneDriveClient, session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, folder_id: str | None, delta_link: str, @@ -553,7 +553,7 @@ async def _index_with_delta_sync( if change.get("deleted"): fid = change.get("id") if fid: - await _remove_document(session, fid, search_space_id) + await _remove_document(session, fid, workspace_id) continue if "folder" in change: @@ -562,7 +562,7 @@ async def _index_with_delta_sync( if not change.get("file"): continue - skip, msg = await _should_skip_file(session, change, search_space_id) + skip, msg = await _should_skip_file(session, change, workspace_id) if skip: if msg and msg.startswith("unsupported:"): unsupported_count += 1 @@ -597,7 +597,7 @@ async def _index_with_delta_sync( session, files_to_download, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, on_heartbeat=on_heartbeat_callback, vision_llm=vision_llm, @@ -625,7 +625,7 @@ async def _index_with_delta_sync( async def index_onedrive_files( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, items_dict: dict, ) -> tuple[int, int, str | None, int]: @@ -638,7 +638,7 @@ async def index_onedrive_files( "indexing_options": {"max_files": 500, "include_subfolders": true, "use_delta_sync": true} } """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) log_entry = await task_logger.log_task_start( task_name="onedrive_files_indexing", source="connector_indexing_task", @@ -673,7 +673,7 @@ async def index_onedrive_files( if connector_enable_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm = await get_vision_llm(session, search_space_id) + vision_llm = await get_vision_llm(session, workspace_id) onedrive_client = OneDriveClient(session, connector_id) @@ -695,7 +695,7 @@ async def index_onedrive_files( session, file_tuples, connector_id=connector_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, vision_llm=vision_llm, ) @@ -719,7 +719,7 @@ async def index_onedrive_files( onedrive_client, session, connector_id, - search_space_id, + workspace_id, user_id, folder_id, delta_link, @@ -744,7 +744,7 @@ async def index_onedrive_files( onedrive_client, session, connector_id, - search_space_id, + workspace_id, user_id, folder_id, folder_name, @@ -763,7 +763,7 @@ async def index_onedrive_files( onedrive_client, session, connector_id, - search_space_id, + workspace_id, user_id, folder_id, folder_name, diff --git a/surfsense_backend/app/tasks/connector_indexers/slack_indexer.py b/surfsense_backend/app/tasks/connector_indexers/slack_indexer.py index ac63af38c..6b19bf7c4 100644 --- a/surfsense_backend/app/tasks/connector_indexers/slack_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/slack_indexer.py @@ -116,7 +116,7 @@ def _build_batch_document_string( async def index_slack_messages( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -139,7 +139,7 @@ async def index_slack_messages( Args: session: Database session connector_id: ID of the Slack connector - search_space_id: ID of the search space to store documents in + workspace_id: ID of the workspace to store documents in user_id: ID of the user start_date: Start date for indexing (YYYY-MM-DD format) end_date: End date for indexing (YYYY-MM-DD format) @@ -150,7 +150,7 @@ async def index_slack_messages( Returns: Tuple containing (number of documents indexed, error message or None) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -380,12 +380,12 @@ async def index_slack_messages( unique_identifier_hash = generate_unique_identifier_hash( DocumentType.SLACK_CONNECTOR, unique_identifier, - search_space_id, + workspace_id, ) # Generate content hash content_hash = generate_content_hash( - combined_document_string, search_space_id + combined_document_string, workspace_id ) # Check if document with this unique identifier already exists @@ -449,7 +449,7 @@ async def index_slack_messages( # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=f"{team_name}#{channel_name}", document_type=DocumentType.SLACK_CONNECTOR, document_metadata={ diff --git a/surfsense_backend/app/tasks/connector_indexers/teams_indexer.py b/surfsense_backend/app/tasks/connector_indexers/teams_indexer.py index e48aedaa5..90dc50fc5 100644 --- a/surfsense_backend/app/tasks/connector_indexers/teams_indexer.py +++ b/surfsense_backend/app/tasks/connector_indexers/teams_indexer.py @@ -116,7 +116,7 @@ def _build_batch_document_string( async def index_teams_messages( session: AsyncSession, connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, start_date: str | None = None, end_date: str | None = None, @@ -139,7 +139,7 @@ async def index_teams_messages( Args: session: Database session connector_id: ID of the Teams connector - search_space_id: ID of the search space to store documents in + workspace_id: ID of the workspace to store documents in user_id: ID of the user start_date: Start date for indexing (YYYY-MM-DD format) end_date: End date for indexing (YYYY-MM-DD format) @@ -150,7 +150,7 @@ async def index_teams_messages( Returns: Tuple containing (number of documents indexed, error message or None) """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -398,12 +398,12 @@ async def index_teams_messages( unique_identifier_hash = generate_unique_identifier_hash( DocumentType.TEAMS_CONNECTOR, unique_identifier, - search_space_id, + workspace_id, ) # Generate content hash content_hash = generate_content_hash( - combined_document_string, search_space_id + combined_document_string, workspace_id ) # Check if document with this unique identifier already exists @@ -475,7 +475,7 @@ async def index_teams_messages( # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=f"{team_name} - {channel_name}", document_type=DocumentType.TEAMS_CONNECTOR, document_metadata={ diff --git a/surfsense_backend/app/tasks/connector_indexers/webcrawler_indexer.py b/surfsense_backend/app/tasks/connector_indexers/webcrawler_indexer.py deleted file mode 100644 index d81de67c0..000000000 --- a/surfsense_backend/app/tasks/connector_indexers/webcrawler_indexer.py +++ /dev/null @@ -1,529 +0,0 @@ -""" -Webcrawler connector indexer. - -Implements 2-phase document status updates for real-time UI feedback: -- Phase 1: Create all documents with 'pending' status (visible in UI immediately) -- Phase 2: Process each document: pending → processing → ready/failed -""" - -import time -from collections.abc import Awaitable, Callable -from datetime import datetime - -from sqlalchemy.exc import SQLAlchemyError -from sqlalchemy.ext.asyncio import AsyncSession - -from app.connectors.webcrawler_connector import WebCrawlerConnector -from app.db import Document, DocumentStatus, DocumentType, SearchSourceConnectorType -from app.services.task_logging_service import TaskLoggingService -from app.utils.document_converters import ( - create_document_chunks, - embed_text, - generate_content_hash, - generate_unique_identifier_hash, -) -from app.utils.webcrawler_utils import parse_webcrawler_urls - -from .base import ( - check_document_by_unique_identifier, - check_duplicate_document_by_hash, - get_connector_by_id, - get_current_timestamp, - logger, - safe_set_chunks, - update_connector_last_indexed, -) - -# Type hint for heartbeat callback -HeartbeatCallbackType = Callable[[int], Awaitable[None]] - -# Heartbeat interval in seconds -HEARTBEAT_INTERVAL_SECONDS = 30 - - -async def index_crawled_urls( - session: AsyncSession, - connector_id: int, - search_space_id: int, - user_id: str, - start_date: str | None = None, - end_date: str | None = None, - update_last_indexed: bool = True, - on_heartbeat_callback: HeartbeatCallbackType | None = None, -) -> tuple[int, str | None]: - """ - Index web page URLs with real-time document status updates. - - Implements 2-phase approach for real-time UI feedback: - - Phase 1: Create all documents with 'pending' status (visible in UI immediately) - - Phase 2: Process each document: pending → processing → ready/failed - - Args: - session: Database session - connector_id: ID of the webcrawler connector - search_space_id: ID of the search space to store documents in - user_id: User ID - start_date: Start date for filtering (YYYY-MM-DD format) - optional - end_date: End date for filtering (YYYY-MM-DD format) - optional - update_last_indexed: Whether to update the last_indexed_at timestamp (default: True) - on_heartbeat_callback: Optional callback to update notification during long-running indexing. - - Returns: - Tuple containing (number of documents indexed, error message or None) - """ - task_logger = TaskLoggingService(session, search_space_id) - - # Log task start - log_entry = await task_logger.log_task_start( - task_name="crawled_url_indexing", - source="connector_indexing_task", - message=f"Starting web page URL indexing for connector {connector_id}", - metadata={ - "connector_id": connector_id, - "user_id": str(user_id), - "start_date": start_date, - "end_date": end_date, - }, - ) - - try: - # Get the connector - await task_logger.log_task_progress( - log_entry, - f"Retrieving webcrawler connector {connector_id} from database", - {"stage": "connector_retrieval"}, - ) - - # Get the connector from the database - connector = await get_connector_by_id( - session, connector_id, SearchSourceConnectorType.WEBCRAWLER_CONNECTOR - ) - - if not connector: - await task_logger.log_task_failure( - log_entry, - f"Connector with ID {connector_id} not found or is not a webcrawler connector", - "Connector not found", - {"error_type": "ConnectorNotFound"}, - ) - return ( - 0, - f"Connector with ID {connector_id} not found or is not a webcrawler connector", - ) - - # Get the Firecrawl API key from the connector config (optional) - api_key = connector.config.get("FIRECRAWL_API_KEY") - - # Get URLs from connector config - raw_initial_urls = connector.config.get("INITIAL_URLS") - urls = parse_webcrawler_urls(raw_initial_urls) - - # DEBUG: Log connector config details for troubleshooting empty URL issues - logger.info( - f"Starting crawled web page indexing for connector {connector_id} with {len(urls)} URLs. " - f"Connector name: {connector.name}, " - f"INITIAL_URLS type: {type(raw_initial_urls).__name__}, " - f"INITIAL_URLS value: {repr(raw_initial_urls)[:200] if raw_initial_urls else 'None'}" - ) - - # Initialize webcrawler client - await task_logger.log_task_progress( - log_entry, - f"Initializing webcrawler client for connector {connector_id}", - { - "stage": "client_initialization", - "use_firecrawl": bool(api_key), - }, - ) - - crawler = WebCrawlerConnector(firecrawl_api_key=api_key) - - # Validate URLs - if not urls: - # DEBUG: Log detailed connector config for troubleshooting - logger.error( - f"No URLs provided for indexing. Connector ID: {connector_id}, " - f"Connector name: {connector.name}, " - f"Config keys: {list(connector.config.keys()) if connector.config else 'None'}, " - f"INITIAL_URLS raw value: {raw_initial_urls!r}" - ) - await task_logger.log_task_failure( - log_entry, - "No URLs provided for indexing", - f"Empty URL list. INITIAL_URLS value: {repr(raw_initial_urls)[:100]}", - {"error_type": "ValidationError", "connector_name": connector.name}, - ) - return 0, "No URLs provided for indexing" - - await task_logger.log_task_progress( - log_entry, - f"Starting to process {len(urls)} URLs", - { - "stage": "processing", - "total_urls": len(urls), - }, - ) - - documents_indexed = 0 - documents_updated = 0 - documents_skipped = 0 - documents_failed = 0 - duplicate_content_count = 0 - - # Heartbeat tracking - update notification periodically to prevent appearing stuck - last_heartbeat_time = time.time() - - # ======================================================================= - # PHASE 1: Analyze all URLs, create pending documents for new ones - # This makes ALL new documents visible in the UI immediately with pending status - # ======================================================================= - urls_to_process = [] # List of dicts with document and URL data - new_documents_created = False - - for url in urls: - try: - # Generate unique identifier hash for this URL - unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.CRAWLED_URL, url, search_space_id - ) - - # Check if document with this unique identifier already exists - existing_document = await check_document_by_unique_identifier( - session, unique_identifier_hash - ) - - if existing_document: - # Document exists - check if it's already being processed - if DocumentStatus.is_state( - existing_document.status, DocumentStatus.PENDING - ): - logger.info(f"URL {url} already pending. Skipping.") - documents_skipped += 1 - continue - if DocumentStatus.is_state( - existing_document.status, DocumentStatus.PROCESSING - ): - logger.info(f"URL {url} already processing. Skipping.") - documents_skipped += 1 - continue - - # Queue existing document for potential update check - urls_to_process.append( - { - "document": existing_document, - "is_new": False, - "url": url, - "unique_identifier_hash": unique_identifier_hash, - } - ) - continue - - # Create new document with PENDING status (visible in UI immediately) - document = Document( - search_space_id=search_space_id, - title=url[:100], # Placeholder - URL as title (truncated) - document_type=DocumentType.CRAWLED_URL, - document_metadata={ - "url": url, - "connector_id": connector_id, - }, - content="Pending crawl...", # Placeholder content - content_hash=unique_identifier_hash, # Temporary unique value - unique_identifier_hash=unique_identifier_hash, - embedding=None, - chunks=[], # Empty at creation - safe for async - status=DocumentStatus.pending(), # PENDING status - visible in UI - updated_at=get_current_timestamp(), - created_by_id=user_id, - connector_id=connector_id, - ) - session.add(document) - new_documents_created = True - - urls_to_process.append( - { - "document": document, - "is_new": True, - "url": url, - "unique_identifier_hash": unique_identifier_hash, - } - ) - - except Exception as e: - logger.error(f"Error in Phase 1 for URL {url}: {e!s}", exc_info=True) - documents_failed += 1 - continue - - # Commit all pending documents - they all appear in UI now - if new_documents_created: - logger.info( - f"Phase 1: Committing {len([u for u in urls_to_process if u['is_new']])} pending documents" - ) - await session.commit() - - # ======================================================================= - # PHASE 2: Process each URL one by one - # Each document transitions: pending → processing → ready/failed - # ======================================================================= - logger.info(f"Phase 2: Processing {len(urls_to_process)} URLs") - - for item in urls_to_process: - # Send heartbeat periodically - if on_heartbeat_callback: - current_time = time.time() - if current_time - last_heartbeat_time >= HEARTBEAT_INTERVAL_SECONDS: - await on_heartbeat_callback(documents_indexed + documents_updated) - last_heartbeat_time = current_time - - document = item["document"] - url = item["url"] - is_new = item["is_new"] - - try: - # Set to PROCESSING and commit - shows "processing" in UI for THIS document only - document.status = DocumentStatus.processing() - await session.commit() - - await task_logger.log_task_progress( - log_entry, - f"Crawling URL: {url}", - { - "stage": "crawling_url", - "url": url, - }, - ) - - # Crawl the URL - crawl_result, error = await crawler.crawl_url(url) - - if error or not crawl_result: - logger.warning(f"Failed to crawl URL {url}: {error}") - document.status = DocumentStatus.failed(error or "Crawl failed") - document.updated_at = get_current_timestamp() - await session.commit() - documents_failed += 1 - continue - - # Extract content and metadata - content = crawl_result.get("content", "") - metadata = crawl_result.get("metadata", {}) - crawler_type = crawl_result.get("crawler_type", "unknown") - - if not content.strip(): - logger.warning(f"Skipping URL with no content: {url}") - document.status = DocumentStatus.failed("No content extracted") - document.updated_at = get_current_timestamp() - await session.commit() - documents_failed += 1 - continue - - # Format content as structured document for summary generation - crawler.format_to_structured_document(crawl_result) - - # Generate content hash using a version WITHOUT metadata - structured_document_for_hash = crawler.format_to_structured_document( - crawl_result, exclude_metadata=True - ) - content_hash = generate_content_hash( - structured_document_for_hash, search_space_id - ) - - # Extract useful metadata - title = metadata.get("title", url) - metadata.get("description", "") - metadata.get("language", "") - - # Update title immediately for better UX - document.title = title - await session.commit() - - # For existing documents, check if content has changed - if not is_new and document.content_hash == content_hash: - logger.info(f"Document for URL {url} unchanged. Marking as ready.") - # Ensure status is ready (might have been stuck) - document.status = DocumentStatus.ready() - await session.commit() - documents_skipped += 1 - continue - - # For new documents, check if duplicate content exists elsewhere - if is_new: - with session.no_autoflush: - duplicate_by_content = await check_duplicate_document_by_hash( - session, content_hash - ) - - if duplicate_by_content: - logger.info( - f"URL {url} already indexed by another connector " - f"(existing document ID: {duplicate_by_content.id}). " - f"Marking as failed." - ) - document.status = DocumentStatus.failed( - "Duplicate content exists" - ) - document.updated_at = get_current_timestamp() - await session.commit() - duplicate_content_count += 1 - documents_skipped += 1 - continue - - # Select deterministic document content - - summary_content = f"Crawled URL: {title}\n\nURL: {url}\n\n{content}" - summary_embedding = embed_text(summary_content) - - # Process chunks - chunks = await create_document_chunks(content) - - # Update document to READY with actual content - document.title = title - document.content = summary_content - document.content_hash = content_hash - document.embedding = summary_embedding - document.document_metadata = { - **metadata, - "crawler_type": crawler_type, - "indexed_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), - "connector_id": connector_id, - } - await safe_set_chunks(session, document, chunks) - document.status = DocumentStatus.ready() # READY status - document.updated_at = get_current_timestamp() - - if is_new: - documents_indexed += 1 - else: - documents_updated += 1 - - logger.info(f"Successfully processed URL {url}") - - # Batch commit every 10 documents (for ready status updates) - if (documents_indexed + documents_updated) % 10 == 0: - logger.info( - f"Committing batch: {documents_indexed + documents_updated} URLs processed so far" - ) - await session.commit() - - except Exception as e: - logger.error(f"Error processing URL {url}: {e!s}", exc_info=True) - # Mark document as failed with reason (visible in UI) - try: - document.status = DocumentStatus.failed(str(e)[:200]) - document.updated_at = get_current_timestamp() - await session.commit() - except Exception as status_error: - logger.error( - f"Failed to update document status to failed: {status_error}" - ) - documents_failed += 1 - continue - - total_processed = documents_indexed + documents_updated - - # CRITICAL: Always update timestamp (even if 0 documents indexed) so Zero syncs - await update_connector_last_indexed(session, connector, update_last_indexed) - - # Final commit for any remaining documents not yet committed in batches - logger.info( - f"Final commit: Total {documents_indexed} new, {documents_updated} updated URLs processed" - ) - try: - await session.commit() - logger.info( - "Successfully committed all webcrawler document changes to database" - ) - except Exception as e: - # Handle any remaining integrity errors gracefully - if "duplicate key value violates unique constraint" in str(e).lower(): - logger.warning( - f"Duplicate content_hash detected during final commit. " - f"Rolling back and continuing. Error: {e!s}" - ) - await session.rollback() - else: - raise - - # Build warning message if there were issues - warning_parts = [] - if duplicate_content_count > 0: - warning_parts.append(f"{duplicate_content_count} duplicate") - if documents_failed > 0: - warning_parts.append(f"{documents_failed} failed") - warning_message = ", ".join(warning_parts) if warning_parts else None - - await task_logger.log_task_success( - log_entry, - f"Successfully completed crawled web page indexing for connector {connector_id}", - { - "urls_processed": total_processed, - "documents_indexed": documents_indexed, - "documents_updated": documents_updated, - "documents_skipped": documents_skipped, - "documents_failed": documents_failed, - "duplicate_content_count": duplicate_content_count, - }, - ) - - logger.info( - f"Web page indexing completed: {documents_indexed} new, " - f"{documents_updated} updated, {documents_skipped} skipped, " - f"{documents_failed} failed" - ) - - if warning_message: - return total_processed, f"Completed with issues: {warning_message}" - - return total_processed, None - - except SQLAlchemyError as db_error: - await session.rollback() - await task_logger.log_task_failure( - log_entry, - f"Database error during web page indexing for connector {connector_id}", - str(db_error), - {"error_type": "SQLAlchemyError"}, - ) - logger.error(f"Database error: {db_error!s}", exc_info=True) - return 0, f"Database error: {db_error!s}" - except Exception as e: - await session.rollback() - await task_logger.log_task_failure( - log_entry, - f"Failed to index web page URLs for connector {connector_id}", - str(e), - {"error_type": type(e).__name__}, - ) - logger.error(f"Failed to index web page URLs: {e!s}", exc_info=True) - return 0, f"Failed to index web page URLs: {e!s}" - - -async def get_crawled_url_documents( - session: AsyncSession, - search_space_id: int, - connector_id: int | None = None, -) -> list[Document]: - """ - Get all crawled URL documents for a search space. - - Args: - session: Database session - search_space_id: ID of the search space - connector_id: Optional connector ID to filter by - - Returns: - List of Document objects - """ - from sqlalchemy import select - - query = select(Document).filter( - Document.search_space_id == search_space_id, - Document.document_type == DocumentType.CRAWLED_URL, - ) - - if connector_id: - query = query.filter(Document.connector_id == connector_id) - - result = await session.execute(query) - documents = result.scalars().all() - return list(documents) diff --git a/surfsense_backend/app/tasks/document_processors/__init__.py b/surfsense_backend/app/tasks/document_processors/__init__.py index f82c10883..90fd69269 100644 --- a/surfsense_backend/app/tasks/document_processors/__init__.py +++ b/surfsense_backend/app/tasks/document_processors/__init__.py @@ -3,15 +3,13 @@ Document processors module for background tasks. Content extraction is handled by ``app.etl_pipeline.EtlPipelineService``. This package keeps orchestration (save, notify, page-limit) and -non-ETL processors (extension, markdown, youtube). +non-ETL processors (extension, markdown). """ from .extension_processor import add_extension_received_document from .markdown_processor import add_received_markdown_file_document -from .youtube_processor import add_youtube_video_document __all__ = [ "add_extension_received_document", "add_received_markdown_file_document", - "add_youtube_video_document", ] diff --git a/surfsense_backend/app/tasks/document_processors/_helpers.py b/surfsense_backend/app/tasks/document_processors/_helpers.py index 9cd7b87c9..9db655328 100644 --- a/surfsense_backend/app/tasks/document_processors/_helpers.py +++ b/surfsense_backend/app/tasks/document_processors/_helpers.py @@ -24,7 +24,7 @@ from .base import ( def get_google_drive_unique_identifier( connector: dict | None, filename: str, - search_space_id: int, + workspace_id: int, ) -> tuple[str, str | None]: """ Get unique identifier hash, using file_id for Google Drive (stable across renames). @@ -40,15 +40,15 @@ def get_google_drive_unique_identifier( if file_id: primary_hash = generate_unique_identifier_hash( - DocumentType.GOOGLE_DRIVE_FILE, file_id, search_space_id + DocumentType.GOOGLE_DRIVE_FILE, file_id, workspace_id ) legacy_hash = generate_unique_identifier_hash( - DocumentType.GOOGLE_DRIVE_FILE, filename, search_space_id + DocumentType.GOOGLE_DRIVE_FILE, filename, workspace_id ) return primary_hash, legacy_hash primary_hash = generate_unique_identifier_hash( - DocumentType.FILE, filename, search_space_id + DocumentType.FILE, filename, workspace_id ) return primary_hash, None diff --git a/surfsense_backend/app/tasks/document_processors/_save.py b/surfsense_backend/app/tasks/document_processors/_save.py index 3b9616cbd..2509a70ef 100644 --- a/surfsense_backend/app/tasks/document_processors/_save.py +++ b/surfsense_backend/app/tasks/document_processors/_save.py @@ -10,6 +10,7 @@ from app.utils.document_converters import ( create_document_chunks, embed_text, generate_content_hash, + truncate_for_embedding, ) from ._helpers import ( @@ -28,7 +29,7 @@ async def save_file_document( session: AsyncSession, file_name: str, markdown_content: str, - search_space_id: int, + workspace_id: int, user_id: str, etl_service: str, connector: dict | None = None, @@ -43,7 +44,7 @@ async def save_file_document( session: Database session file_name: Name of the processed file markdown_content: Markdown content to store - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user etl_service: Name of the ETL service (UNSTRUCTURED, LLAMACLOUD, DOCLING) connector: Optional connector info for Google Drive files @@ -53,9 +54,9 @@ async def save_file_document( """ try: primary_hash, legacy_hash = get_google_drive_unique_identifier( - connector, file_name, search_space_id + connector, file_name, workspace_id ) - content_hash = generate_content_hash(markdown_content, search_space_id) + content_hash = generate_content_hash(markdown_content, workspace_id) existing_document = await find_existing_document_with_migration( session, primary_hash, legacy_hash, content_hash @@ -73,7 +74,9 @@ async def save_file_document( if should_skip: return doc - document_content = f"File: {file_name}\n\n{markdown_content[:4000]}" + document_content = ( + f"File: {file_name}\n\n{truncate_for_embedding(markdown_content)}" + ) document_embedding = embed_text(document_content) chunks = await create_document_chunks(markdown_content) doc_metadata = {"FILE_NAME": file_name, "ETL_SERVICE": etl_service} @@ -99,7 +102,7 @@ async def save_file_document( doc_type = DocumentType.GOOGLE_DRIVE_FILE document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=file_name, document_type=doc_type, document_metadata=doc_metadata, diff --git a/surfsense_backend/app/tasks/document_processors/circleback_processor.py b/surfsense_backend/app/tasks/document_processors/circleback_processor.py index ee36d5bc2..413ab9d3d 100644 --- a/surfsense_backend/app/tasks/document_processors/circleback_processor.py +++ b/surfsense_backend/app/tasks/document_processors/circleback_processor.py @@ -23,7 +23,7 @@ from app.db import ( DocumentType, SearchSourceConnector, SearchSourceConnectorType, - SearchSpace, + Workspace, ) from app.utils.document_converters import ( create_document_chunks, @@ -47,7 +47,7 @@ async def add_circleback_meeting_document( meeting_name: str, markdown_content: str, metadata: dict[str, Any], - search_space_id: int, + workspace_id: int, connector_id: int | None = None, ) -> Document | None: """ @@ -64,7 +64,7 @@ async def add_circleback_meeting_document( meeting_name: Name of the meeting markdown_content: Meeting content formatted as markdown metadata: Meeting metadata dictionary - search_space_id: ID of the search space + workspace_id: ID of the workspace connector_id: ID of the Circleback connector (for deletion support) Returns: @@ -75,11 +75,11 @@ async def add_circleback_meeting_document( # Generate unique identifier hash using Circleback meeting ID unique_identifier = f"circleback_{meeting_id}" unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.CIRCLEBACK, unique_identifier, search_space_id + DocumentType.CIRCLEBACK, unique_identifier, workspace_id ) # Generate content hash - content_hash = generate_content_hash(markdown_content, search_space_id) + content_hash = generate_content_hash(markdown_content, workspace_id) # Check if document with this unique identifier already exists existing_document = await check_document_by_unique_identifier( @@ -113,13 +113,13 @@ async def add_circleback_meeting_document( # ======================================================================= # Fetch the user who set up the Circleback connector (preferred) - # or fall back to search space owner if no connector found + # or fall back to workspace owner if no connector found created_by_user_id = None - # Try to find the Circleback connector for this search space + # Try to find the Circleback connector for this workspace connector_result = await session.execute( select(SearchSourceConnector.user_id).where( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.CIRCLEBACK_CONNECTOR, ) @@ -130,15 +130,15 @@ async def add_circleback_meeting_document( # Use the user who set up the Circleback connector created_by_user_id = connector_user else: - # Fallback: use search space owner if no connector found - search_space_result = await session.execute( - select(SearchSpace.user_id).where(SearchSpace.id == search_space_id) + # Fallback: use workspace owner if no connector found + workspace_result = await session.execute( + select(Workspace.user_id).where(Workspace.id == workspace_id) ) - created_by_user_id = search_space_result.scalar_one_or_none() + created_by_user_id = workspace_result.scalar_one_or_none() # Create new document with PENDING status (visible in UI immediately) document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=meeting_name, document_type=DocumentType.CIRCLEBACK, document_metadata={ @@ -162,7 +162,7 @@ async def add_circleback_meeting_document( # Commit immediately so document appears in UI with pending status await session.commit() logger.info( - f"Created pending Circleback meeting document {meeting_id} in search space {search_space_id}" + f"Created pending Circleback meeting document {meeting_id} in workspace {workspace_id}" ) # ======================================================================= @@ -213,11 +213,11 @@ async def add_circleback_meeting_document( if existing_document: logger.info( - f"Updated Circleback meeting document {meeting_id} in search space {search_space_id}" + f"Updated Circleback meeting document {meeting_id} in workspace {workspace_id}" ) else: logger.info( - f"Processed Circleback meeting document {meeting_id} in search space {search_space_id} - now ready" + f"Processed Circleback meeting document {meeting_id} in workspace {workspace_id} - now ready" ) return document diff --git a/surfsense_backend/app/tasks/document_processors/extension_processor.py b/surfsense_backend/app/tasks/document_processors/extension_processor.py index bdbc985fa..fbf55d484 100644 --- a/surfsense_backend/app/tasks/document_processors/extension_processor.py +++ b/surfsense_backend/app/tasks/document_processors/extension_processor.py @@ -27,7 +27,7 @@ from .base import ( async def add_extension_received_document( session: AsyncSession, content: ExtensionDocumentContent, - search_space_id: int, + workspace_id: int, user_id: str, ) -> Document | None: """ @@ -36,13 +36,13 @@ async def add_extension_received_document( Args: session: Database session content: Document content from extension - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user Returns: Document object if successful, None if failed """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -72,7 +72,7 @@ async def add_extension_received_document( ), ( "CONTENT", - ["FORMAT: markdown", "TEXT_START", content.pageContent, "TEXT_END"], + ["FORMAT: markdown", "TEXT_START", content.page_content, "TEXT_END"], ), ] @@ -90,11 +90,11 @@ async def add_extension_received_document( # Generate unique identifier hash for this extension document (using URL) unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.EXTENSION, content.metadata.VisitedWebPageURL, search_space_id + DocumentType.EXTENSION, content.metadata.VisitedWebPageURL, workspace_id ) # Generate content hash - content_hash = generate_content_hash(combined_document_string, search_space_id) + content_hash = generate_content_hash(combined_document_string, workspace_id) # Check if document with this unique identifier already exists existing_document = await check_document_by_unique_identifier( @@ -126,7 +126,7 @@ async def add_extension_received_document( summary_embedding = embed_text(summary_content) # Process chunks - chunks = await create_document_chunks(content.pageContent) + chunks = await create_document_chunks(content.page_content) # Update or create document if existing_document: @@ -146,7 +146,7 @@ async def add_extension_received_document( else: # Create new document document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=content.metadata.VisitedWebPageTitle, document_type=DocumentType.EXTENSION, document_metadata=content.metadata.model_dump(), diff --git a/surfsense_backend/app/tasks/document_processors/file_processors.py b/surfsense_backend/app/tasks/document_processors/file_processors.py index 174ac966d..63862b62a 100644 --- a/surfsense_backend/app/tasks/document_processors/file_processors.py +++ b/surfsense_backend/app/tasks/document_processors/file_processors.py @@ -42,7 +42,7 @@ class _ProcessingContext: session: AsyncSession file_path: str filename: str - search_space_id: int + workspace_id: int user_id: str task_logger: TaskLoggingService log_entry: Log @@ -135,7 +135,7 @@ async def _process_non_document_upload(ctx: _ProcessingContext) -> Document | No if ctx.use_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm = await get_vision_llm(ctx.session, ctx.search_space_id) + vision_llm = await get_vision_llm(ctx.session, ctx.workspace_id) etl_result = await extract_with_cache( EtlRequest(file_path=ctx.file_path, filename=ctx.filename), @@ -151,7 +151,7 @@ async def _process_non_document_upload(ctx: _ProcessingContext) -> Document | No ctx.session, ctx.filename, etl_result.markdown_content, - ctx.search_space_id, + ctx.workspace_id, ctx.user_id, ctx.connector, ) @@ -237,7 +237,7 @@ async def _process_document_upload(ctx: _ProcessingContext) -> Document | None: if ctx.use_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm = await get_vision_llm(ctx.session, ctx.search_space_id) + vision_llm = await get_vision_llm(ctx.session, ctx.workspace_id) etl_result = await extract_with_cache( EtlRequest( @@ -258,7 +258,7 @@ async def _process_document_upload(ctx: _ProcessingContext) -> Document | None: ctx.session, ctx.filename, etl_result.markdown_content, - ctx.search_space_id, + ctx.workspace_id, ctx.user_id, etl_result.etl_service, ctx.connector, @@ -302,7 +302,7 @@ async def _process_document_upload(ctx: _ProcessingContext) -> Document | None: async def process_file_in_background( file_path: str, filename: str, - search_space_id: int, + workspace_id: int, user_id: str, session: AsyncSession, task_logger: TaskLoggingService, @@ -316,7 +316,7 @@ async def process_file_in_background( session=session, file_path=file_path, filename=filename, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, task_logger=task_logger, log_entry=log_entry, @@ -368,7 +368,7 @@ async def process_file_in_background( async def _extract_file_content( file_path: str, filename: str, - search_space_id: int, + workspace_id: int, session: AsyncSession, user_id: str, task_logger: TaskLoggingService, @@ -432,7 +432,7 @@ async def _extract_file_content( if use_vision_llm: from app.services.llm_service import get_vision_llm - vision_llm = await get_vision_llm(session, search_space_id) + vision_llm = await get_vision_llm(session, workspace_id) from app.etl_pipeline.cache import extract_with_cache @@ -459,7 +459,7 @@ async def process_file_in_background_with_document( document: Document, file_path: str, filename: str, - search_space_id: int, + workspace_id: int, user_id: str, session: AsyncSession, task_logger: TaskLoggingService, @@ -491,7 +491,7 @@ async def process_file_in_background_with_document( markdown_content, etl_service, billable_pages = await _extract_file_content( file_path, filename, - search_space_id, + workspace_id, session, user_id, task_logger, @@ -504,7 +504,7 @@ async def process_file_in_background_with_document( if not markdown_content: raise RuntimeError(f"Failed to extract content from file: {filename}") - content_hash = generate_content_hash(markdown_content, search_space_id) + content_hash = generate_content_hash(markdown_content, workspace_id) existing_by_content = await check_duplicate_document(session, content_hash) if existing_by_content and existing_by_content.id != doc_id: logging.info( @@ -525,7 +525,7 @@ async def process_file_in_background_with_document( markdown_content=markdown_content, filename=filename, etl_service=etl_service, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id, ) diff --git a/surfsense_backend/app/tasks/document_processors/markdown_processor.py b/surfsense_backend/app/tasks/document_processors/markdown_processor.py index 19a4df87d..8632e212b 100644 --- a/surfsense_backend/app/tasks/document_processors/markdown_processor.py +++ b/surfsense_backend/app/tasks/document_processors/markdown_processor.py @@ -13,6 +13,7 @@ from app.utils.document_converters import ( create_document_chunks, embed_text, generate_content_hash, + truncate_for_embedding, ) from ._helpers import ( @@ -120,7 +121,7 @@ async def add_received_markdown_file_document( session: AsyncSession, file_name: str, file_in_markdown: str, - search_space_id: int, + workspace_id: int, user_id: str, connector: dict | None = None, ) -> Document | None: @@ -131,14 +132,14 @@ async def add_received_markdown_file_document( session: Database session file_name: Name of the markdown file file_in_markdown: Content of the markdown file - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: ID of the user connector: Optional connector info for Google Drive files Returns: Document object if successful, None if failed """ - task_logger = TaskLoggingService(session, search_space_id) + task_logger = TaskLoggingService(session, workspace_id) # Log task start log_entry = await task_logger.log_task_start( @@ -155,11 +156,11 @@ async def add_received_markdown_file_document( try: # Generate unique identifier hash (uses file_id for Google Drive, filename for others) primary_hash, legacy_hash = get_google_drive_unique_identifier( - connector, file_name, search_space_id + connector, file_name, workspace_id ) # Generate content hash - content_hash = generate_content_hash(file_in_markdown, search_space_id) + content_hash = generate_content_hash(file_in_markdown, workspace_id) # Check if document exists (with migration support for Google Drive and content_hash fallback) existing_document = await find_existing_document_with_migration( @@ -182,7 +183,9 @@ async def add_received_markdown_file_document( return doc # Content changed - continue to update - summary_content = f"File: {file_name}\n\n{file_in_markdown[:4000]}" + summary_content = ( + f"File: {file_name}\n\n{truncate_for_embedding(file_in_markdown)}" + ) summary_embedding = embed_text(summary_content) # Process chunks @@ -214,7 +217,7 @@ async def add_received_markdown_file_document( doc_type = DocumentType.GOOGLE_DRIVE_FILE document = Document( - search_space_id=search_space_id, + workspace_id=workspace_id, title=file_name, document_type=doc_type, document_metadata={ diff --git a/surfsense_backend/app/tasks/document_processors/youtube_processor.py b/surfsense_backend/app/tasks/document_processors/youtube_processor.py deleted file mode 100644 index dde5e4222..000000000 --- a/surfsense_backend/app/tasks/document_processors/youtube_processor.py +++ /dev/null @@ -1,473 +0,0 @@ -""" -YouTube video document processor. - -Implements 2-phase document status updates for real-time UI feedback: -- Phase 1: Create document with 'pending' status (visible in UI immediately) -- Phase 2: Process document: pending → processing → ready/failed -""" - -import logging -import time -from urllib.parse import parse_qs, urlparse - -from fake_useragent import UserAgent -from requests import Session -from scrapling.fetchers import AsyncFetcher -from sqlalchemy.exc import SQLAlchemyError -from sqlalchemy.ext.asyncio import AsyncSession -from youtube_transcript_api import YouTubeTranscriptApi - -from app.db import Document, DocumentStatus, DocumentType -from app.services.task_logging_service import TaskLoggingService -from app.utils.document_converters import ( - create_document_chunks, - embed_text, - generate_content_hash, - generate_unique_identifier_hash, -) -from app.utils.proxy import get_proxy_url, get_requests_proxies - -from .base import ( - check_document_by_unique_identifier, - get_current_timestamp, - safe_set_chunks, -) - - -def get_youtube_video_id(url: str) -> str | None: - """ - Extract video ID from various YouTube URL formats. - - Args: - url: YouTube URL - - Returns: - Video ID if found, None otherwise - """ - parsed_url = urlparse(url) - hostname = parsed_url.hostname - - if hostname == "youtu.be": - return parsed_url.path[1:] - if hostname in ("www.youtube.com", "youtube.com"): - if parsed_url.path == "/watch": - query_params = parse_qs(parsed_url.query) - return query_params.get("v", [None])[0] - if parsed_url.path.startswith("/embed/"): - return parsed_url.path.split("/")[2] - if parsed_url.path.startswith("/v/"): - return parsed_url.path.split("/")[2] - return None - - -async def add_youtube_video_document( - session: AsyncSession, - url: str, - search_space_id: int, - user_id: str, - notification=None, -) -> Document: - """ - Process a YouTube video URL, extract transcripts, and store as a document. - - Implements 2-phase document status updates for real-time UI feedback: - - Phase 1: Create document with 'pending' status (visible in UI immediately) - - Phase 2: Process document: pending → processing → ready/failed - - Args: - session: Database session for storing the document - url: YouTube video URL (supports standard, shortened, and embed formats) - search_space_id: ID of the search space to add the document to - user_id: ID of the user - notification: Optional notification object — if provided, the document_id - is stored in its metadata right after document creation so the stale - cleanup task can identify stuck documents. - - Returns: - Document: The created document object - - Raises: - ValueError: If the YouTube video ID cannot be extracted from the URL - SQLAlchemyError: If there's a database error - RuntimeError: If the video processing fails - """ - task_logger = TaskLoggingService(session, search_space_id) - - # Log task start - log_entry = await task_logger.log_task_start( - task_name="youtube_video_document", - source="background_task", - message=f"Starting YouTube video processing for: {url}", - metadata={"url": url, "user_id": str(user_id)}, - ) - - document = None - video_id = None - is_new_document = False - - try: - # Extract video ID from URL (lightweight operation) - await task_logger.log_task_progress( - log_entry, - f"Extracting video ID from URL: {url}", - {"stage": "video_id_extraction"}, - ) - - video_id = get_youtube_video_id(url) - if not video_id: - raise ValueError(f"Could not extract video ID from URL: {url}") - - await task_logger.log_task_progress( - log_entry, - f"Video ID extracted: {video_id}", - {"stage": "video_id_extracted", "video_id": video_id}, - ) - - # Generate unique identifier hash for this YouTube video - unique_identifier_hash = generate_unique_identifier_hash( - DocumentType.YOUTUBE_VIDEO, video_id, search_space_id - ) - - # Check if document with this unique identifier already exists - await task_logger.log_task_progress( - log_entry, - f"Checking for existing video: {video_id}", - {"stage": "duplicate_check", "video_id": video_id}, - ) - - existing_document = await check_document_by_unique_identifier( - session, unique_identifier_hash - ) - - # ======================================================================= - # PHASE 1: Create pending document or prepare existing for update - # ======================================================================= - if existing_document: - document = existing_document - is_new_document = False - # Check if already being processed - if DocumentStatus.is_state( - existing_document.status, DocumentStatus.PENDING - ): - logging.info( - f"YouTube video {video_id} already pending. Returning existing." - ) - return existing_document - if DocumentStatus.is_state( - existing_document.status, DocumentStatus.PROCESSING - ): - logging.info( - f"YouTube video {video_id} already processing. Returning existing." - ) - return existing_document - else: - # Create new document with PENDING status (visible in UI immediately) - await task_logger.log_task_progress( - log_entry, - f"Creating pending document for video: {video_id}", - {"stage": "pending_document_creation"}, - ) - - document = Document( - title=f"YouTube Video: {video_id}", # Placeholder title - document_type=DocumentType.YOUTUBE_VIDEO, - document_metadata={ - "url": url, - "video_id": video_id, - }, - content="Processing video...", # Placeholder content - content_hash=unique_identifier_hash, # Temporary unique value - unique_identifier_hash=unique_identifier_hash, - embedding=None, - chunks=[], # Empty at creation - status=DocumentStatus.pending(), # PENDING status - visible in UI - search_space_id=search_space_id, - updated_at=get_current_timestamp(), - created_by_id=user_id, - ) - session.add(document) - await session.commit() # Document visible in UI now with pending status! - is_new_document = True - - # Store document_id in notification metadata so stale cleanup task - # can identify this document if the worker crashes. - if notification and notification.notification_metadata is not None: - from sqlalchemy.orm.attributes import flag_modified - - notification.notification_metadata["document_id"] = document.id - flag_modified(notification, "notification_metadata") - await session.commit() - - logging.info(f"Created pending document for YouTube video {video_id}") - - # ======================================================================= - # PHASE 2: Set to PROCESSING and do heavy work - # ======================================================================= - document.status = DocumentStatus.processing() - await session.commit() # UI shows "processing" status - - await task_logger.log_task_progress( - log_entry, - f"Fetching video metadata for: {video_id}", - {"stage": "metadata_fetch"}, - ) - - # Fetch video metadata - params = { - "format": "json", - "url": f"https://www.youtube.com/watch?v={video_id}", - } - oembed_url = "https://www.youtube.com/oembed" - - # Build residential proxy settings (if configured) - residential_proxies = get_requests_proxies() - - oembed_fetch_start = time.perf_counter() - oembed_page = await AsyncFetcher.get( - oembed_url, - params=params, - proxy=get_proxy_url(), - stealthy_headers=True, - ) - logging.info( - "[youtube][perf] source=oembed video=%s status=%s fetch_ms=%.1f", - video_id, - getattr(oembed_page, "status", None), - (time.perf_counter() - oembed_fetch_start) * 1000, - ) - video_data = oembed_page.json() - - # Update title immediately for better UX (user sees actual title sooner) - document.title = video_data.get("title", f"YouTube Video: {video_id}") - await session.commit() - - await task_logger.log_task_progress( - log_entry, - f"Video metadata fetched: {video_data.get('title', 'Unknown')}", - { - "stage": "metadata_fetched", - "title": video_data.get("title"), - "author": video_data.get("author_name"), - }, - ) - - # Get video transcript - await task_logger.log_task_progress( - log_entry, - f"Fetching transcript for video: {video_id}", - {"stage": "transcript_fetch"}, - ) - - try: - transcript_fetch_start = time.perf_counter() - ua = UserAgent() - http_client = Session() - http_client.headers.update({"User-Agent": ua.random}) - if residential_proxies: - http_client.proxies.update(residential_proxies) - ytt_api = YouTubeTranscriptApi(http_client=http_client) - - # List all available transcripts and pick the first one - # (the video's primary language) instead of defaulting to English - transcript_list = ytt_api.list(video_id) - transcript = next(iter(transcript_list)) - captions = transcript.fetch() - logging.info( - "[youtube][perf] source=transcript video=%s fetch_ms=%.1f", - video_id, - (time.perf_counter() - transcript_fetch_start) * 1000, - ) - - # Include complete caption information with timestamps - transcript_segments = [] - for line in captions: - start_time = line.start - duration = line.duration - text = line.text - timestamp = f"[{start_time:.2f}s-{start_time + duration:.2f}s]" - transcript_segments.append(f"{timestamp} {text}") - transcript_text = "\n".join(transcript_segments) - - await task_logger.log_task_progress( - log_entry, - f"Transcript fetched successfully: {len(captions)} segments ({transcript.language})", - { - "stage": "transcript_fetched", - "segments_count": len(captions), - "transcript_length": len(transcript_text), - "language": transcript.language, - "language_code": transcript.language_code, - "is_generated": transcript.is_generated, - }, - ) - except Exception as e: - transcript_text = f"No captions available for this video. Error: {e!s}" - await task_logger.log_task_progress( - log_entry, - f"No transcript available for video: {video_id}", - {"stage": "transcript_unavailable", "error": str(e)}, - ) - - # Format document - await task_logger.log_task_progress( - log_entry, - f"Processing video content: {video_data.get('title', 'YouTube Video')}", - {"stage": "content_processing"}, - ) - - # Format document metadata in a more maintainable way - metadata_sections = [ - ( - "METADATA", - [ - f"TITLE: {video_data.get('title', 'YouTube Video')}", - f"URL: {url}", - f"VIDEO_ID: {video_id}", - f"AUTHOR: {video_data.get('author_name', 'Unknown')}", - f"THUMBNAIL: {video_data.get('thumbnail_url', '')}", - ], - ), - ( - "CONTENT", - ["FORMAT: transcript", "TEXT_START", transcript_text, "TEXT_END"], - ), - ] - - # Build the document string more efficiently - document_parts = [] - document_parts.append("") - - for section_title, section_content in metadata_sections: - document_parts.append(f"<{section_title}>") - document_parts.extend(section_content) - document_parts.append(f"") - - document_parts.append("") - combined_document_string = "\n".join(document_parts) - - # Generate content hash - content_hash = generate_content_hash(combined_document_string, search_space_id) - - # For existing documents, check if content has changed - if not is_new_document and existing_document.content_hash == content_hash: - await task_logger.log_task_success( - log_entry, - f"YouTube video document unchanged: {video_data.get('title', 'YouTube Video')}", - { - "duplicate_detected": True, - "existing_document_id": existing_document.id, - "video_id": video_id, - }, - ) - logging.info( - f"Document for YouTube video {video_id} unchanged. Marking as ready." - ) - document.status = DocumentStatus.ready() - await session.commit() - return document - - summary_content = combined_document_string - summary_embedding = embed_text(summary_content) - - # Process chunks - await task_logger.log_task_progress( - log_entry, - f"Processing content chunks for video: {video_data.get('title', 'YouTube Video')}", - {"stage": "chunk_processing"}, - ) - - chunks = await create_document_chunks(combined_document_string) - - # ======================================================================= - # PHASE 3: Update document to READY with all content - # ======================================================================= - await task_logger.log_task_progress( - log_entry, - f"Finalizing document: {video_data.get('title', 'YouTube Video')}", - {"stage": "document_finalization", "chunks_count": len(chunks)}, - ) - - document.title = video_data.get("title", "YouTube Video") - document.content = summary_content - document.content_hash = content_hash - document.embedding = summary_embedding - document.document_metadata = { - "url": url, - "video_id": video_id, - "video_title": video_data.get("title", "YouTube Video"), - "author": video_data.get("author_name", "Unknown"), - "thumbnail": video_data.get("thumbnail_url", ""), - } - await safe_set_chunks(session, document, chunks) - document.source_markdown = combined_document_string - document.status = DocumentStatus.ready() # READY status - fully processed - document.updated_at = get_current_timestamp() - - await session.commit() - await session.refresh(document) - - # Log success - await task_logger.log_task_success( - log_entry, - f"Successfully processed YouTube video: {video_data.get('title', 'YouTube Video')}", - { - "document_id": document.id, - "video_id": video_id, - "title": document.title, - "content_hash": content_hash, - "chunks_count": len(chunks), - "summary_length": len(summary_content), - "has_transcript": "No captions available" not in transcript_text, - }, - ) - - return document - - except SQLAlchemyError as db_error: - # Mark document as failed if it exists - if document: - try: - document.status = DocumentStatus.failed( - f"Database error: {str(db_error)[:150]}" - ) - document.updated_at = get_current_timestamp() - await session.commit() - except Exception: - await session.rollback() - else: - await session.rollback() - - await task_logger.log_task_failure( - log_entry, - f"Database error while processing YouTube video: {url}", - str(db_error), - { - "error_type": "SQLAlchemyError", - "video_id": video_id, - }, - ) - raise db_error - - except Exception as e: - # Mark document as failed if it exists - if document: - try: - document.status = DocumentStatus.failed(str(e)[:200]) - document.updated_at = get_current_timestamp() - await session.commit() - except Exception: - await session.rollback() - else: - await session.rollback() - - await task_logger.log_task_failure( - log_entry, - f"Failed to process YouTube video: {url}", - str(e), - { - "error_type": type(e).__name__, - "video_id": video_id, - }, - ) - logging.error(f"Failed to process YouTube video: {e!s}") - raise diff --git a/surfsense_backend/app/users.py b/surfsense_backend/app/users.py index bf9ec74d1..dbec93876 100644 --- a/surfsense_backend/app/users.py +++ b/surfsense_backend/app/users.py @@ -22,10 +22,10 @@ from app.auth.session_cookies import access_expires_at, write_session from app.config import config from app.db import ( Prompt, - SearchSpace, - SearchSpaceMembership, - SearchSpaceRole, User, + Workspace, + WorkspaceMembership, + WorkspaceRole, async_session_maker, get_async_session, get_default_roles_config, @@ -146,34 +146,34 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]): async def on_after_register(self, user: User, request: Request | None = None): """ - Called after a user registers. Creates a default search space for the user + Called after a user registers. Creates a default workspace for the user so they can start chatting immediately without manual setup. """ - logger.info(f"User {user.id} has registered. Creating default search space...") + logger.info(f"User {user.id} has registered. Creating default workspace...") try: async with async_session_maker() as session: - # Create default search space - default_search_space = SearchSpace( - name="My Search Space", - description="Your personal search space", + # Create default workspace + default_workspace = Workspace( + name="My Workspace", + description="Your personal workspace", user_id=user.id, ) - session.add(default_search_space) - await session.flush() # Get the search space ID + session.add(default_workspace) + await session.flush() # Get the workspace ID # Create default roles default_roles = get_default_roles_config() owner_role_id = None for role_config in default_roles: - db_role = SearchSpaceRole( + db_role = WorkspaceRole( name=role_config["name"], description=role_config["description"], permissions=role_config["permissions"], is_default=role_config["is_default"], is_system_role=role_config["is_system_role"], - search_space_id=default_search_space.id, + workspace_id=default_workspace.id, ) session.add(db_role) await session.flush() @@ -182,9 +182,9 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]): owner_role_id = db_role.id # Create owner membership - owner_membership = SearchSpaceMembership( + owner_membership = WorkspaceMembership( user_id=user.id, - search_space_id=default_search_space.id, + workspace_id=default_workspace.id, role_id=owner_role_id, is_owner=True, ) @@ -204,12 +204,10 @@ class UserManager(UUIDIDMixin, BaseUserManager[User, uuid.UUID]): await session.commit() logger.info( - f"Created default search space (ID: {default_search_space.id}) for user {user.id}" + f"Created default workspace (ID: {default_workspace.id}) for user {user.id}" ) except Exception as e: - logger.error( - f"Failed to create default search space for user {user.id}: {e}" - ) + logger.error(f"Failed to create default workspace for user {user.id}: {e}") async def on_after_forgot_password( self, user: User, token: str, request: Request | None = None @@ -326,7 +324,7 @@ def _token_meets_epoch(token: str) -> bool: return False issued_at = payload.get("iat") - return isinstance(issued_at, (int, float)) and int(issued_at) >= min_issued_at + return isinstance(issued_at, int | float) and int(issued_at) >= min_issued_at async def get_auth_context( @@ -384,7 +382,7 @@ async def allow_any_principal( ) -> AuthContext: """Allow either session or PAT principals for bootstrap probes only. - Routes using this dependency intentionally have no search-space gate. + Routes using this dependency intentionally have no workspace gate. Adding a new call site is a security decision and must be covered by the fail-closed PAT allowlist test. """ diff --git a/surfsense_backend/app/utils/blocknote_to_markdown.py b/surfsense_backend/app/utils/blocknote_to_markdown.py index e26a9f4ee..38393a370 100644 --- a/surfsense_backend/app/utils/blocknote_to_markdown.py +++ b/surfsense_backend/app/utils/blocknote_to_markdown.py @@ -145,7 +145,7 @@ def _render_block( code_text = _render_inline_content(content) if content else "" lines.append(f"{prefix}```{language}") for code_line in code_text.split("\n"): - lines.append(f"{prefix}{code_line}") + lines.append(code_line) lines.append(f"{prefix}```") elif block_type == "table": diff --git a/surfsense_backend/app/utils/captcha/__init__.py b/surfsense_backend/app/utils/captcha/__init__.py new file mode 100644 index 000000000..499eaa876 --- /dev/null +++ b/surfsense_backend/app/utils/captcha/__init__.py @@ -0,0 +1,22 @@ +"""App-wide captcha-solver configuration (Apache-2.0, generic glue). + +This package holds only the **generic, vendor-agnostic** config resolution for +captcha solving — mirroring ``app/utils/proxy/`` (which stays Apache-2.0 even +though the crawler that consumes it is proprietary). The actual bypass logic +(challenge detection + token injection ``page_action``) lives in the separately +licensed ``app/proprietary/web_crawler/captcha.py``. + +``captchatools`` is itself the multi-vendor registry (capmonster / 2captcha / +anticaptcha / capsolver / captchaai), so there is no provider hierarchy here — +just one env-driven :class:`CaptchaConfig` and a cheap ``captcha_enabled()`` +gate callers check before constructing anything (mirrors +``WebCrawlCreditService.billing_enabled()``). +""" + +from app.utils.captcha.config import ( + CaptchaConfig, + captcha_enabled, + get_captcha_config, +) + +__all__ = ["CaptchaConfig", "captcha_enabled", "get_captcha_config"] diff --git a/surfsense_backend/app/utils/captcha/config.py b/surfsense_backend/app/utils/captcha/config.py new file mode 100644 index 000000000..96d1dada9 --- /dev/null +++ b/surfsense_backend/app/utils/captcha/config.py @@ -0,0 +1,54 @@ +"""Env-resolved captcha-solver config (one app-wide config; no per-connector). + +Resolved from :data:`app.config.config` only, mirroring ``03b``'s single +``PROXY_PROVIDER`` model. Off by default: ``captcha_enabled()`` is ``False`` +unless both ``CAPTCHA_SOLVING_ENABLED=TRUE`` and an API key are present, so a +misconfigured deployment (flag on, key missing) never attempts a paid solve. +""" + +from dataclasses import dataclass + +from app.config import config + + +@dataclass(frozen=True) +class CaptchaConfig: + """Immutable snapshot of the captcha-solver settings for one crawl.""" + + enabled: bool + solving_site: str + api_key: str | None + max_attempts_per_url: int + timeout_s: int + captcha_type_default: str + v3_min_score: float + v3_action: str + + +def get_captcha_config() -> CaptchaConfig: + """Build a :class:`CaptchaConfig` from the current process config/env.""" + api_key = config.CAPTCHA_SOLVER_API_KEY + flag_on = config.CAPTCHA_SOLVING_ENABLED + return CaptchaConfig( + # Effective-enabled requires a key too: a flag with no key would only + # produce ``ErrWrongAPIKey`` per attempt (and still risk an IP ban from + # the solver), so treat key-less config as disabled. + enabled=bool(flag_on and api_key), + solving_site=config.CAPTCHA_SOLVER_PROVIDER, + api_key=api_key, + max_attempts_per_url=config.CAPTCHA_MAX_ATTEMPTS_PER_URL, + timeout_s=config.CAPTCHA_SOLVE_TIMEOUT_S, + captcha_type_default=config.CAPTCHA_TYPE_DEFAULT, + v3_min_score=config.CAPTCHA_V3_MIN_SCORE, + v3_action=config.CAPTCHA_V3_ACTION, + ) + + +def captcha_enabled() -> bool: + """Cheap gate: is captcha solving effectively configured (flag + key)? + + Callers check this before building the ``page_action`` or capturing the + crawl's proxy endpoint for the solver, so the stealth tier stays unchanged + when solving is off. + """ + return bool(config.CAPTCHA_SOLVING_ENABLED and config.CAPTCHA_SOLVER_API_KEY) diff --git a/surfsense_backend/app/utils/connector_naming.py b/surfsense_backend/app/utils/connector_naming.py index 99c8243a5..502e89775 100644 --- a/surfsense_backend/app/utils/connector_naming.py +++ b/surfsense_backend/app/utils/connector_naming.py @@ -118,14 +118,14 @@ def generate_connector_name_with_identifier( async def count_connectors_of_type( session: AsyncSession, connector_type: SearchSourceConnectorType, - search_space_id: int, + workspace_id: int, user_id: UUID, ) -> int: - """Count existing connectors of a type for a user in a search space.""" + """Count existing connectors of a type for a user in a workspace.""" result = await session.execute( select(func.count(SearchSourceConnector.id)).where( SearchSourceConnector.connector_type == connector_type, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, ) ) @@ -135,7 +135,7 @@ async def count_connectors_of_type( async def check_duplicate_connector( session: AsyncSession, connector_type: SearchSourceConnectorType, - search_space_id: int, + workspace_id: int, user_id: UUID, identifier: str | None, ) -> bool: @@ -145,7 +145,7 @@ async def check_duplicate_connector( Args: session: Database session connector_type: The type of connector - search_space_id: The search space ID + workspace_id: The workspace ID user_id: The user ID identifier: User identifier (email, workspace name, etc.) @@ -159,7 +159,7 @@ async def check_duplicate_connector( result = await session.execute( select(func.count(SearchSourceConnector.id)).where( SearchSourceConnector.connector_type == connector_type, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, SearchSourceConnector.name == expected_name, ) @@ -170,11 +170,11 @@ async def check_duplicate_connector( async def ensure_unique_connector_name( session: AsyncSession, name: str, - search_space_id: int, + workspace_id: int, user_id: UUID, ) -> str: """ - Ensure a connector name is unique within a user's search space. + Ensure a connector name is unique within a user's workspace. If the name already exists, appends a counter suffix: (2), (3), etc. Uses the same suffix format as generate_unique_connector_name. @@ -182,7 +182,7 @@ async def ensure_unique_connector_name( Args: session: Database session name: Desired connector name - search_space_id: The search space ID + workspace_id: The workspace ID user_id: The user ID Returns: @@ -190,7 +190,7 @@ async def ensure_unique_connector_name( """ result = await session.execute( select(SearchSourceConnector.name).where( - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.user_id == user_id, ) ) @@ -208,7 +208,7 @@ async def ensure_unique_connector_name( async def generate_unique_connector_name( session: AsyncSession, connector_type: SearchSourceConnectorType, - search_space_id: int, + workspace_id: int, user_id: UUID, identifier: str | None = None, ) -> str: @@ -221,7 +221,7 @@ async def generate_unique_connector_name( Args: session: Database session connector_type: The type of connector - search_space_id: The search space ID + workspace_id: The workspace ID user_id: The user ID identifier: Optional user identifier (email, workspace name, etc.) @@ -235,12 +235,12 @@ async def generate_unique_connector_name( return await ensure_unique_connector_name( session, name, - search_space_id, + workspace_id, user_id, ) count = await count_connectors_of_type( - session, connector_type, search_space_id, user_id + session, connector_type, workspace_id, user_id ) if count == 0: diff --git a/surfsense_backend/app/utils/crawl/__init__.py b/surfsense_backend/app/utils/crawl/__init__.py new file mode 100644 index 000000000..3f4762414 --- /dev/null +++ b/surfsense_backend/app/utils/crawl/__init__.py @@ -0,0 +1,22 @@ +"""App-wide crawler block classification (Apache-2.0, generic). + +Phase 3e (Slice A). Mirrors ``app/utils/proxy`` and ``app/utils/captcha``: this +package holds only the **generic, vendor-agnostic** glue — here, a pure block +classifier (passive telemetry from public anti-bot markers). It is consumed by +the separately licensed proprietary crawler to label ``CrawlOutcome.block_type``. + +The **bypass-specific tuning** (the stealth kwargs builder / geoip coherence, and +the deferred WebGL spoof + humanize choreography) is NOT generic and lives under +the proprietary boundary in ``app/proprietary/web_crawler/`` (``stealth.py``). +""" + +from app.utils.crawl.classifier import BlockType, classify_block +from app.utils.crawl.contacts import Contacts, extract_contacts, is_social_host + +__all__ = [ + "BlockType", + "Contacts", + "classify_block", + "extract_contacts", + "is_social_host", +] diff --git a/surfsense_backend/app/utils/crawl/classifier.py b/surfsense_backend/app/utils/crawl/classifier.py new file mode 100644 index 000000000..e58a55537 --- /dev/null +++ b/surfsense_backend/app/utils/crawl/classifier.py @@ -0,0 +1,94 @@ +"""Block classifier — labels a fetched page so the ladder can learn (Phase 3e). + +Pure, additive, status + body-marker based. It attaches +:class:`~app.proprietary.web_crawler.connector.CrawlOutcome.block_type` for +telemetry / future escalation routing (per-domain memory, `03d` captcha routing) +and **never** changes *when* a crawl is ``SUCCESS`` — `03c` bills on +``status == SUCCESS``, so this stays read-only metadata. + +Markers mirror the proven set in the Camoufox-based FlareSolverr alternative +``references/trawl-dev/packages/tiers/src/detect.ts`` (plus DataDome/Kasada for +our enterprise targets). Regexes are compiled once at import (hot-path hygiene). +""" + +import re +from enum import StrEnum + + +class BlockType(StrEnum): + """Coarse label for what a fetched page represents.""" + + OK = "ok" # usable content, no challenge detected + CLOUDFLARE = "cloudflare" # CF interstitial / Turnstile / DDoS-Guard + CAPTCHA_RECAPTCHA = "captcha_recaptcha" + CAPTCHA_HCAPTCHA = "captcha_hcaptcha" + DATADOME = "datadome" + KASADA = "kasada" + RATE_LIMITED = "rate_limited" + EMPTY = "empty" # fetched but no HTML body + UNKNOWN = "unknown" # blocking-ish status with no recognized marker + + +# --- compiled marker patterns (hoisted; see Vercel rule 7.9) --- +_CLOUDFLARE = re.compile( + r"just a moment" + r"|checking your browser" + r"|enable javascript and cookies to continue" + r"|verify you are human" + r"|cf-mitigated" + r"|id=\"(?:cf-)?challenge-running\"" + r"|id=\"turnstile-wrapper\"" + r"|ddos-guard", + re.IGNORECASE, +) +_TURNSTILE = re.compile( + r"class=\"cf-turnstile\"" + r"|challenges\.cloudflare\.com/turnstile" + r"|cdn-cgi/challenge-platform[^\"']*turnstile", + re.IGNORECASE, +) +_HCAPTCHA = re.compile(r"class=\"h-captcha\"|hcaptcha\.com/1/api", re.IGNORECASE) +_RECAPTCHA = re.compile( + r"class=\"g-recaptcha\"|google\.com/recaptcha|recaptcha\.net/recaptcha", + re.IGNORECASE, +) +_DATADOME = re.compile(r"datadome|geo\.captcha-delivery\.com", re.IGNORECASE) +_KASADA = re.compile(r"kpsdk|x-kpsdk|kasada", re.IGNORECASE) + +# Statuses some CDNs use as a bot-gate before the real response (detect.ts:isBlocked). +_BOT_GATE_STATUSES = frozenset({202, 403}) + + +def classify_block(status: int | None, html: str | None) -> BlockType: + """Label a fetched page from its HTTP status and HTML body. + + Precedence: explicit rate-limit status, then specific anti-bot/captcha body + markers, then a generic bot-gate status with no marker, else ``OK`` (or + ``EMPTY`` when there is no body). Marker checks run before the generic + bot-gate so a ``403`` Cloudflare challenge is labeled ``CLOUDFLARE``, not + ``UNKNOWN``. + """ + if status == 429: + return BlockType.RATE_LIMITED + + if not html or not html.strip(): + # No body: distinguish a blocking-ish status from a genuinely empty 200. + if status in _BOT_GATE_STATUSES: + return BlockType.UNKNOWN + return BlockType.EMPTY + + if _CLOUDFLARE.search(html) or _TURNSTILE.search(html): + return BlockType.CLOUDFLARE + if _DATADOME.search(html): + return BlockType.DATADOME + if _KASADA.search(html): + return BlockType.KASADA + if _HCAPTCHA.search(html): + return BlockType.CAPTCHA_HCAPTCHA + if _RECAPTCHA.search(html): + return BlockType.CAPTCHA_RECAPTCHA + + if status in _BOT_GATE_STATUSES: + return BlockType.UNKNOWN + + return BlockType.OK diff --git a/surfsense_backend/app/utils/crawl/contacts.py b/surfsense_backend/app/utils/crawl/contacts.py new file mode 100644 index 000000000..872db33d9 --- /dev/null +++ b/surfsense_backend/app/utils/crawl/contacts.py @@ -0,0 +1,278 @@ +"""Pure contact/social-signal extraction from raw HTML (Apache-2.0, generic). + +Lead-gen / competitive-intelligence crawls need the emails, phone numbers, and +social profiles a site publishes — which almost always live in the footer, the +contact page, or the privacy/terms pages. Trafilatura's main-content extraction +deliberately drops that boilerplate, so these signals must be pulled from the +raw HTML, not the cleaned markdown. + +No I/O and no bypass logic, so this sits in the generic ``app/utils/crawl`` +package (mirrors ``classifier``) and is consumed by the proprietary connector. +""" + +from __future__ import annotations + +import re +from dataclasses import dataclass, field +from urllib.parse import unquote, urldefrag, urlsplit + +from lxml import html as lxml_html +from lxml.etree import ParserError + +# Social/profile hosts worth surfacing as leads. Matched on host == d or a +# subdomain of d. ``x.com``/``twitter.com`` both kept (rename churn). +_SOCIAL_HOSTS = ( + "twitter.com", + "x.com", + "linkedin.com", + "facebook.com", + "fb.com", + "instagram.com", + "youtube.com", + "youtu.be", + "github.com", + "gitlab.com", + "tiktok.com", + "discord.com", + "discord.gg", + "t.me", + "medium.com", + "threads.net", + "pinterest.com", + "reddit.com", + "crunchbase.com", + "wellfound.com", + "angel.co", + "mastodon.social", + "bsky.app", + # Regional networks — the primary business contact channel in much of the + # world (WhatsApp: LatAm/India/Africa; Line: JP/TH/TW; VK/OK: RU; + # Weibo/WeChat: CN; Xing: DACH; Kakao: KR). + "wa.me", + "whatsapp.com", + "line.me", + "lin.ee", + "vk.com", + "ok.ru", + "weibo.com", + "weixin.qq.com", + "xing.com", + "pf.kakao.com", +) + +# Email domains that are almost never a real contact (SDKs, CDNs, examples). +_NOISE_EMAIL_DOMAINS = frozenset( + { + "sentry.io", + "wixpress.com", + "example.com", + "example.org", + "domain.com", + "email.com", + # Unambiguous placeholder domains; ambiguous ones (business.com, + # company.com) are left to the placeholder local-part filter instead. + "yourcompany.com", + "yourdomain.com", + "yoursite.com", + "schema.org", + "w3.org", + "googleapis.com", + "gstatic.com", + "sentry-cdn.com", + "cloudflare.com", + } +) + +# File extensions that surface as bogus email "TLDs" when an asset ref (``logo@2x.png``) +# or version-pinned dep (``react@18.2.0.js``) matches the email shape. +_ASSET_TLDS = frozenset( + { + "png", + "jpg", + "jpeg", + "gif", + "svg", + "webp", + "ico", + "bmp", + "css", + "js", + "mjs", + "cjs", + "ts", + "map", + "json", + "xml", + "woff", + "woff2", + "ttf", + "eot", + "otf", + "php", + "html", + "htm", + } +) + +_EMAIL_RE = re.compile(r"[a-zA-Z0-9._%+\-]+@[a-zA-Z0-9.\-]+\.[a-zA-Z]{2,}") + +# Template/form placeholders, compared after stripping [._-] separators, so +# "your.email"/"your-email"/"youremail" all match. Deliberately excludes real +# common locals like hello/info/contact/support. +_PLACEHOLDER_EMAIL_LOCALS = frozenset( + { + "youremail", + "yourname", + "youraddress", + "myemail", + "email", + "name", + "user", + "username", + "someone", + "somebody", + "johndoe", + "janedoe", + "firstname", + "lastname", + "firstnamelastname", + "firstlast", + "test", + "example", + "sample", + "placeholder", + } +) + +# Placeholder profile handles left in site templates ("github.com/username"). +_PLACEHOLDER_SOCIAL_SEGMENTS = frozenset( + { + "username", + "yourusername", + "yourhandle", + "handle", + "user", + "profile", + "yourprofile", + "yourname", + "yourpage", + "pagename", + "youraccount", + "account", + "example", + "placeholder", + "yourcompany", + } +) + +_SEPARATORS_RE = re.compile(r"[._\-]+") + + +def _normalized(token: str) -> str: + return _SEPARATORS_RE.sub("", token.strip().lower().lstrip("@")) + + +@dataclass +class Contacts: + """Deduped contact signals harvested from one page's raw HTML.""" + + emails: list[str] = field(default_factory=list) + phones: list[str] = field(default_factory=list) + socials: list[str] = field(default_factory=list) + + def as_dict(self) -> dict[str, list[str]]: + return {"emails": self.emails, "phones": self.phones, "socials": self.socials} + + @property + def is_empty(self) -> bool: + return not (self.emails or self.phones or self.socials) + + +def is_social_host(host: str) -> bool: + """True when ``host`` is (a subdomain of) a known social/profile host.""" + return any(host == d or host.endswith("." + d) for d in _SOCIAL_HOSTS) + + +def _keep_email(email: str) -> bool: + local, _, domain = email.partition("@") + domain = domain.lower() + if domain in _NOISE_EMAIL_DOMAINS: + return False + if _normalized(local) in _PLACEHOLDER_EMAIL_LOCALS: + return False + # Drops asset/version false positives like ``logo@2x.png`` / ``react@18.2.0.js`` + # whose trailing token is a file extension, not a real TLD. + return domain.rsplit(".", 1)[-1] not in _ASSET_TLDS + + +def _keep_social(url: str) -> bool: + # ponytail: any placeholder-looking path segment drops the URL; a real + # handle literally named "username"/"example" is collateral. Upgrade path: + # per-host handle position rules (e.g. linkedin.com/in/). + return not any( + _normalized(segment) in _PLACEHOLDER_SOCIAL_SEGMENTS + for segment in urlsplit(url).path.split("/") + if segment + ) + + +def _dedup(values: list[str]) -> list[str]: + """Case-insensitive dedupe that preserves first-seen order.""" + seen: set[str] = set() + out: list[str] = [] + for value in values: + key = value.lower() + if key not in seen: + seen.add(key) + out.append(value) + return out + + +def extract_contacts(raw_html: str | None) -> Contacts: + """Harvest emails, phone numbers, and social profile URLs from raw HTML. + + Emails come from ``mailto:`` hrefs (high confidence) and a plaintext scan of + the source (noise-filtered). Phones come only from ``tel:`` hrefs — a text + scan for phone numbers is too noisy to be worth it. Socials are ``href`` + targets on known profile hosts. Any parse error yields empty results rather + than aborting the crawl. + """ + if not raw_html or not raw_html.strip(): + return Contacts() + + emails: list[str] = [] + phones: list[str] = [] + socials: list[str] = [] + + try: + root = lxml_html.fromstring(raw_html) + except (ParserError, ValueError): + root = None + + if root is not None: + for href in root.xpath("//a/@href | //link/@href"): + href = str(href).strip() + low = href.lower() + # unquote: hrefs URL-encode spaces etc. ("tel:+1%20408-629-1770") + if low.startswith("mailto:"): + addr = unquote(urlsplit(href).path.split("?")[0]).strip() + if addr: + emails.append(addr) + elif low.startswith("tel:"): + num = unquote(urlsplit(href).path).strip() + if num: + phones.append(num) + elif low.startswith(("http://", "https://")): + host = (urlsplit(href).hostname or "").lower() + if is_social_host(host): + socials.append(urldefrag(href)[0]) + + # Plaintext email scan over the source catches addresses rendered as text + # (e.g. "hello@site.com" in a footer) that never appear as a mailto href. + emails.extend(_EMAIL_RE.findall(raw_html)) + + return Contacts( + emails=[e for e in _dedup(emails) if _keep_email(e)], + phones=_dedup(phones), + socials=[s for s in _dedup(socials) if _keep_social(s)], + ) diff --git a/surfsense_backend/app/utils/document_converters.py b/surfsense_backend/app/utils/document_converters.py index bd8740358..3c3e2a562 100644 --- a/surfsense_backend/app/utils/document_converters.py +++ b/surfsense_backend/app/utils/document_converters.py @@ -257,28 +257,28 @@ async def convert_document_to_markdown(elements): return "".join(markdown_parts) -def generate_content_hash(content: str, search_space_id: int) -> str: - """Generate SHA-256 hash for the given content combined with search space ID.""" - combined_data = f"{search_space_id}:{content}" +def generate_content_hash(content: str, workspace_id: int) -> str: + """Generate SHA-256 hash for the given content combined with workspace ID.""" + combined_data = f"{workspace_id}:{content}" return hashlib.sha256(combined_data.encode("utf-8")).hexdigest() def generate_unique_identifier_hash( document_type: DocumentType, unique_identifier: str | int | float, - search_space_id: int, + workspace_id: int, ) -> str: """ Generate SHA-256 hash for a unique document identifier from connector sources. This function creates a consistent hash based on the document type, its unique - identifier from the source system, and the search space ID. This helps prevent + identifier from the source system, and the workspace ID. This helps prevent duplicate documents when syncing from various connectors like Slack, Notion, Jira, etc. Args: document_type: The type of document (e.g., SLACK_CONNECTOR, NOTION_CONNECTOR) unique_identifier: The unique ID from the source system (e.g., message ID, page ID) - search_space_id: The search space this document belongs to + workspace_id: The workspace this document belongs to Returns: str: SHA-256 hash string representing the unique document identifier @@ -294,7 +294,7 @@ def generate_unique_identifier_hash( # Convert unique_identifier to string to handle different types identifier_str = str(unique_identifier) - # Combine document type value, unique identifier, and search space ID - combined_data = f"{document_type.value}:{identifier_str}:{search_space_id}" + # Combine document type value, unique identifier, and workspace ID + combined_data = f"{document_type.value}:{identifier_str}:{workspace_id}" return hashlib.sha256(combined_data.encode("utf-8")).hexdigest() diff --git a/surfsense_backend/app/utils/oauth_security.py b/surfsense_backend/app/utils/oauth_security.py index c39b1e9b1..691e96687 100644 --- a/surfsense_backend/app/utils/oauth_security.py +++ b/surfsense_backend/app/utils/oauth_security.py @@ -63,7 +63,7 @@ class OAuthStateManager: Generate cryptographically signed state parameter. Args: - space_id: The search space ID + space_id: The workspace ID user_id: The user ID **extra_fields: Additional fields to include in state (e.g., code_verifier for PKCE) diff --git a/surfsense_backend/app/utils/periodic_scheduler.py b/surfsense_backend/app/utils/periodic_scheduler.py index 35e8ad781..992f5038f 100644 --- a/surfsense_backend/app/utils/periodic_scheduler.py +++ b/surfsense_backend/app/utils/periodic_scheduler.py @@ -22,14 +22,13 @@ CONNECTOR_TASK_MAP = { SearchSourceConnectorType.GITHUB_CONNECTOR: "index_github_repos", SearchSourceConnectorType.CONFLUENCE_CONNECTOR: "index_confluence_pages", SearchSourceConnectorType.ELASTICSEARCH_CONNECTOR: "index_elasticsearch_documents", - SearchSourceConnectorType.WEBCRAWLER_CONNECTOR: "index_crawled_urls", SearchSourceConnectorType.BOOKSTACK_CONNECTOR: "index_bookstack_pages", } def create_periodic_schedule( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, connector_type: SearchSourceConnectorType, frequency_minutes: int, @@ -44,7 +43,7 @@ def create_periodic_schedule( Args: connector_id: ID of the connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: User ID connector_type: Type of connector frequency_minutes: Frequency in minutes (used for logging) @@ -54,20 +53,6 @@ def create_periodic_schedule( True if successful, False otherwise """ try: - # Special handling for connectors that require config validation - if connector_type == SearchSourceConnectorType.WEBCRAWLER_CONNECTOR: - from app.utils.webcrawler_utils import parse_webcrawler_urls - - config = connector_config or {} - urls = parse_webcrawler_urls(config.get("INITIAL_URLS")) - - if not urls: - logger.info( - f"Webcrawler connector {connector_id} has no URLs configured, " - "skipping first indexing run (will run when URLs are added)" - ) - return True # Return success - schedule is created, just no first run - logger.info( f"Periodic indexing enabled for connector {connector_id} " f"(frequency: {frequency_minutes} minutes). Triggering first run..." @@ -76,7 +61,6 @@ def create_periodic_schedule( from app.tasks.celery_tasks.connector_tasks import ( index_bookstack_pages_task, index_confluence_pages_task, - index_crawled_urls_task, index_elasticsearch_documents_task, index_github_repos_task, index_notion_pages_task, @@ -87,14 +71,13 @@ def create_periodic_schedule( SearchSourceConnectorType.GITHUB_CONNECTOR: index_github_repos_task, SearchSourceConnectorType.CONFLUENCE_CONNECTOR: index_confluence_pages_task, SearchSourceConnectorType.ELASTICSEARCH_CONNECTOR: index_elasticsearch_documents_task, - SearchSourceConnectorType.WEBCRAWLER_CONNECTOR: index_crawled_urls_task, SearchSourceConnectorType.BOOKSTACK_CONNECTOR: index_bookstack_pages_task, } # Trigger the first run immediately task = task_map.get(connector_type) if task: - task.delay(connector_id, search_space_id, user_id, None, None) + task.delay(connector_id, workspace_id, user_id, None, None) logger.info( f"✓ First indexing run triggered for connector {connector_id}. " f"Periodic indexing will continue automatically every {frequency_minutes} minutes." @@ -133,7 +116,7 @@ def delete_periodic_schedule(connector_id: int) -> bool: def update_periodic_schedule( connector_id: int, - search_space_id: int, + workspace_id: int, user_id: str, connector_type: SearchSourceConnectorType, frequency_minutes: int, @@ -146,7 +129,7 @@ def update_periodic_schedule( Args: connector_id: ID of the connector - search_space_id: ID of the search space + workspace_id: ID of the workspace user_id: User ID connector_type: Type of connector frequency_minutes: New frequency in minutes @@ -160,5 +143,5 @@ def update_periodic_schedule( ) # Optionally trigger an immediate run with the new schedule # Uncomment the line below if you want immediate execution on schedule update - # return create_periodic_schedule(connector_id, search_space_id, user_id, connector_type, frequency_minutes) + # return create_periodic_schedule(connector_id, workspace_id, user_id, connector_type, frequency_minutes) return True diff --git a/surfsense_backend/app/utils/proxy/__init__.py b/surfsense_backend/app/utils/proxy/__init__.py index 8ff489a41..3e4158587 100644 --- a/surfsense_backend/app/utils/proxy/__init__.py +++ b/surfsense_backend/app/utils/proxy/__init__.py @@ -25,6 +25,14 @@ def get_requests_proxies() -> dict[str, str] | None: return get_active_provider().get_requests_proxies() +def is_pool_backed() -> bool: + """Whether the active provider rotates across a client-side pool of endpoints. + + The crawler gates its bounded proxy-error rotation-retry on this. + """ + return get_active_provider().is_pool_backed + + def get_residential_proxy_url() -> str | None: """Backward-compatible alias for :func:`get_proxy_url`.""" return get_proxy_url() @@ -37,4 +45,5 @@ __all__ = [ "get_proxy_url", "get_requests_proxies", "get_residential_proxy_url", + "is_pool_backed", ] diff --git a/surfsense_backend/app/utils/proxy/base.py b/surfsense_backend/app/utils/proxy/base.py index a3e84faf0..ed67cd384 100644 --- a/surfsense_backend/app/utils/proxy/base.py +++ b/surfsense_backend/app/utils/proxy/base.py @@ -15,6 +15,7 @@ registering it in ``registry.py``. """ from abc import ABC, abstractmethod +from urllib.parse import urlsplit class ProxyProvider(ABC): @@ -27,12 +28,33 @@ class ProxyProvider(ABC): def get_proxy_url(self) -> str | None: """Return ``http://user:pass@host:port`` (no trailing slash), or ``None``. - This is the canonical form Scrapling/curl_cffi consume directly. + This is the canonical form Scrapling/curl_cffi consume directly, and the + single source every provider must supply — the ``requests`` and Playwright + shapes below are derived from it. """ - @abstractmethod def get_playwright_proxy(self) -> dict[str, str] | None: - """Return a Playwright proxy dict, or ``None`` when not configured.""" + """Return a Playwright ``{"server","username","password"}`` dict, or ``None``. + + Parsed from :meth:`get_proxy_url` (the canonical URL) by default, since + every provider's credentials already live in that URL. Override only for a + vendor whose Playwright form can't be expressed as a parse of the URL. + """ + proxy_url = self.get_proxy_url() + if not proxy_url: + return None + parts = urlsplit(proxy_url) + if not parts.hostname: + return None + server = f"{parts.scheme or 'http'}://{parts.hostname}" + if parts.port: + server = f"{server}:{parts.port}" + proxy: dict[str, str] = {"server": server} + if parts.username: + proxy["username"] = parts.username + if parts.password: + proxy["password"] = parts.password + return proxy def get_requests_proxies(self) -> dict[str, str] | None: """Return a ``requests``/``aiohttp`` proxies dict, or ``None``. @@ -44,3 +66,26 @@ class ProxyProvider(ABC): if proxy_url is None: return None return {"http": proxy_url, "https": proxy_url} + + def get_location(self) -> str: + """Return the proxy's configured exit region (e.g. ``"us"``), or ``""``. + + Vendor-agnostic hook the crawler's geoip-match (``03e``) uses to align the + browser locale/timezone with the exit IP's country. Default ``""`` + (unknown) for providers that don't pin a region (e.g. BYO ``custom`` URLs, + where the region is baked opaquely into the URL). Override in providers + that hold the region as a discrete field. + """ + return "" + + @property + def is_pool_backed(self) -> bool: + """Whether this provider rotates across a *client-side* pool of endpoints. + + ``False`` for single-endpoint providers (including server-side rotating + gateways like ``dataimpulse``, whose rotation happens upstream). The + crawler performs its bounded proxy-error rotation-retry **only** when this + is ``True`` — retrying a single static endpoint would just re-hit the same + dead proxy. + """ + return False diff --git a/surfsense_backend/app/utils/proxy/providers/anonymous_proxies.py b/surfsense_backend/app/utils/proxy/providers/anonymous_proxies.py deleted file mode 100644 index a005a9e72..000000000 --- a/surfsense_backend/app/utils/proxy/providers/anonymous_proxies.py +++ /dev/null @@ -1,65 +0,0 @@ -"""anonymous-proxies.net residential / rotating proxy provider. - -The vendor (``rotating.dnsproxifier.com``) encodes the location and rotation -``type`` options inside a base64-encoded JSON "password". The hostname already -includes the port (e.g. ``rotating.dnsproxifier.com:31230``). -""" - -import base64 -import json -import logging - -from app.config import Config -from app.utils.proxy.base import ProxyProvider - -logger = logging.getLogger(__name__) - - -class AnonymousProxiesProvider(ProxyProvider): - """Provider for anonymous-proxies.net credentials in ``RESIDENTIAL_PROXY_*``.""" - - name = "anonymous_proxies" - - def _password_b64(self) -> str | None: - """Build the base64-encoded password dict required by the vendor. - - Returns ``None`` when the password is not configured. - """ - password = Config.RESIDENTIAL_PROXY_PASSWORD - if not password: - return None - - password_dict = { - "p": password, - "l": Config.RESIDENTIAL_PROXY_LOCATION, - "t": Config.RESIDENTIAL_PROXY_TYPE, - } - return base64.b64encode(json.dumps(password_dict).encode("utf-8")).decode( - "utf-8" - ) - - def get_proxy_url(self) -> str | None: - username = Config.RESIDENTIAL_PROXY_USERNAME - hostname = Config.RESIDENTIAL_PROXY_HOSTNAME - password_b64 = self._password_b64() - - if not all([username, hostname, password_b64]): - return None - - # No trailing slash: curl_cffi (Scrapling static fetcher) expects a bare - # ``http://user:pass@host:port`` URL. - return f"http://{username}:{password_b64}@{hostname}" - - def get_playwright_proxy(self) -> dict[str, str] | None: - username = Config.RESIDENTIAL_PROXY_USERNAME - hostname = Config.RESIDENTIAL_PROXY_HOSTNAME - password_b64 = self._password_b64() - - if not all([username, hostname, password_b64]): - return None - - return { - "server": f"http://{hostname}", - "username": username, - "password": password_b64, - } diff --git a/surfsense_backend/app/utils/proxy/providers/custom.py b/surfsense_backend/app/utils/proxy/providers/custom.py new file mode 100644 index 000000000..3dc55128e --- /dev/null +++ b/surfsense_backend/app/utils/proxy/providers/custom.py @@ -0,0 +1,61 @@ +"""Bring-your-own (BYO) custom proxy provider. + +Reads one or more proxy endpoints from the shared env (``PROXY_URL`` and/or the +comma-separated ``PROXY_URLS``). With a single endpoint it behaves like a static +proxy; with a pool (>1) it rotates client-side via Scrapling's thread-safe +``ProxyRotator`` (cyclic), transparently to every caller of the zero-arg getters. + +No vendor-specific auth assumptions: a user who wants a specific vendor points +``PROXY_URLS`` at that vendor's ``http://user:pass@host:port`` endpoints. +""" + +import logging + +from scrapling.engines.toolbelt import ProxyRotator + +from app.config import Config +from app.utils.proxy.base import ProxyProvider + +logger = logging.getLogger(__name__) + + +class CustomProxyProvider(ProxyProvider): + """BYO provider for a single endpoint or a rotating pool of endpoints.""" + + name = "custom" + + def __init__(self) -> None: + self._urls = self._load_urls() + # Only build a rotator for an actual pool; a single endpoint stays static. + self._rotator = ProxyRotator(self._urls) if len(self._urls) > 1 else None + if not self._urls: + logger.warning( + "PROXY_PROVIDER='custom' selected but neither PROXY_URL nor " + "PROXY_URLS is set; crawls will run without a proxy." + ) + + @staticmethod + def _load_urls() -> list[str]: + """Collect proxy URLs from env (pool first, then single), de-duplicated.""" + urls: list[str] = [] + pool = Config.PROXY_URLS + if pool: + urls.extend(part.strip() for part in pool.split(",") if part.strip()) + + single = (Config.PROXY_URL or "").strip() + if single and single not in urls: + urls.append(single) + + return urls + + @property + def is_pool_backed(self) -> bool: + return self._rotator is not None + + def get_proxy_url(self) -> str | None: + if not self._urls: + return None + if self._rotator is not None: + # Advances the cyclic index on every call (thread-safe). + return self._rotator.get_proxy() + return self._urls[0] diff --git a/surfsense_backend/app/utils/proxy/providers/dataimpulse.py b/surfsense_backend/app/utils/proxy/providers/dataimpulse.py new file mode 100644 index 000000000..17d09325f --- /dev/null +++ b/surfsense_backend/app/utils/proxy/providers/dataimpulse.py @@ -0,0 +1,56 @@ +"""DataImpulse residential / rotating proxy provider. + +Takes the shared ``PROXY_URL`` env, exactly like the BYO ``custom`` provider — +the format is uniform, paste it straight from the vendor dashboard. What makes +this a *named* provider rather than just ``custom`` is the vendor-specific +knowledge it layers on top of that URL: + +* :meth:`get_location` reads DataImpulse's ``__cr.`` username suffix so + the crawler's geoip-match can align the browser locale with the exit country + (``custom`` can't — it treats the URL as opaque). + +Rotation happens server-side (a fresh exit IP per request on the default pool +port), so this is NOT :pyattr:`~ProxyProvider.is_pool_backed`. + +Example URL:: + + http://__cr.us:@gw.dataimpulse.com:823 + +ponytail: sticky sessions (a stable exit IP across requests) are another +username suffix (``__sid.``) — the lever the Reddit scraper's README flags as +a TODO for its ``loid``-per-IP flow. Not built yet: Reddit isn't wired to a +route, so there's no caller to thread a session id through. Add a +``get_sticky_proxy_url(session_id)`` here (rewriting the username) when it lands. +""" + +import logging +from urllib.parse import urlsplit + +from app.config import Config +from app.utils.proxy.base import ProxyProvider + +logger = logging.getLogger(__name__) + +# DataImpulse encodes country routing as a "__cr." username suffix; the +# country token runs until the next "__" param (e.g. "__sid") or the end. +_COUNTRY_MARKER = "__cr." + + +class DataImpulseProvider(ProxyProvider): + """Provider for a DataImpulse proxy URL in the shared ``PROXY_URL`` env.""" + + name = "dataimpulse" + + def get_proxy_url(self) -> str | None: + url = (Config.PROXY_URL or "").strip() + return url or None + + def get_location(self) -> str: + """Country parsed from the ``__cr.`` username suffix, or ``""``.""" + url = self.get_proxy_url() + if not url: + return "" + username = urlsplit(url).username or "" + if _COUNTRY_MARKER not in username: + return "" + return username.split(_COUNTRY_MARKER, 1)[1].split("__", 1)[0].lower() diff --git a/surfsense_backend/app/utils/proxy/registry.py b/surfsense_backend/app/utils/proxy/registry.py index 777dfc049..b222af83c 100644 --- a/surfsense_backend/app/utils/proxy/registry.py +++ b/surfsense_backend/app/utils/proxy/registry.py @@ -9,16 +9,20 @@ import logging from app.config import Config from app.utils.proxy.base import ProxyProvider -from app.utils.proxy.providers.anonymous_proxies import AnonymousProxiesProvider +from app.utils.proxy.providers.custom import CustomProxyProvider +from app.utils.proxy.providers.dataimpulse import DataImpulseProvider logger = logging.getLogger(__name__) # Registered proxy providers, keyed by their ``name``. _PROVIDERS: dict[str, type[ProxyProvider]] = { - AnonymousProxiesProvider.name: AnonymousProxiesProvider, + CustomProxyProvider.name: CustomProxyProvider, + DataImpulseProvider.name: DataImpulseProvider, } -_DEFAULT_PROVIDER = AnonymousProxiesProvider.name +# BYO ``custom`` is the neutral default: it needs no vendor and returns no proxy +# until PROXY_URL(S) is set, so an unconfigured install simply runs direct. +_DEFAULT_PROVIDER = CustomProxyProvider.name _active_provider: ProxyProvider | None = None diff --git a/surfsense_backend/app/utils/rbac.py b/surfsense_backend/app/utils/rbac.py index c82c94344..3d425ab4b 100644 --- a/surfsense_backend/app/utils/rbac.py +++ b/surfsense_backend/app/utils/rbac.py @@ -1,6 +1,6 @@ """ RBAC (Role-Based Access Control) utility functions. -Provides helpers for checking user permissions in search spaces. +Provides helpers for checking user permissions in workspaces. """ import secrets @@ -14,9 +14,9 @@ from sqlalchemy.orm import selectinload from app.auth.context import AuthContext from app.db import ( Permission, - SearchSpace, - SearchSpaceMembership, - SearchSpaceRole, + Workspace, + WorkspaceMembership, + WorkspaceRole, has_permission, ) @@ -24,25 +24,25 @@ from app.db import ( async def get_user_membership( session: AsyncSession, user_id: UUID, - search_space_id: int, -) -> SearchSpaceMembership | None: + workspace_id: int, +) -> WorkspaceMembership | None: """ - Get the user's membership in a search space. + Get the user's membership in a workspace. Args: session: Database session user_id: User UUID - search_space_id: Search space ID + workspace_id: Workspace ID Returns: - SearchSpaceMembership if found, None otherwise + WorkspaceMembership if found, None otherwise """ result = await session.execute( - select(SearchSpaceMembership) - .options(selectinload(SearchSpaceMembership.role)) + select(WorkspaceMembership) + .options(selectinload(WorkspaceMembership.role)) .filter( - SearchSpaceMembership.user_id == user_id, - SearchSpaceMembership.search_space_id == search_space_id, + WorkspaceMembership.user_id == user_id, + WorkspaceMembership.workspace_id == workspace_id, ) ) return result.scalars().first() @@ -51,20 +51,20 @@ async def get_user_membership( async def get_user_permissions( session: AsyncSession, user_id: UUID, - search_space_id: int, + workspace_id: int, ) -> list[str]: """ - Get the user's permissions in a search space. + Get the user's permissions in a workspace. Args: session: Database session user_id: User UUID - search_space_id: Search space ID + workspace_id: Workspace ID Returns: List of permission strings """ - membership = await get_user_membership(session, user_id, search_space_id) + membership = await get_user_membership(session, user_id, workspace_id) if not membership: return [] @@ -84,19 +84,19 @@ async def get_allowed_read_space_ids( session: AsyncSession, auth: AuthContext, ) -> list[int]: - """Return search spaces the principal may read through sync transports. + """Return workspaces the principal may read through sync transports. - This mirrors the basic REST search-space access rule: membership is required, + This mirrors the basic REST workspace access rule: membership is required, and PAT principals are additionally constrained by the per-space API gate. """ stmt = ( - select(SearchSpaceMembership.search_space_id) - .join(SearchSpace, SearchSpace.id == SearchSpaceMembership.search_space_id) - .filter(SearchSpaceMembership.user_id == auth.user.id) - .order_by(SearchSpaceMembership.search_space_id) + select(WorkspaceMembership.workspace_id) + .join(Workspace, Workspace.id == WorkspaceMembership.workspace_id) + .filter(WorkspaceMembership.user_id == auth.user.id) + .order_by(WorkspaceMembership.workspace_id) ) if auth.is_gated: - stmt = stmt.filter(SearchSpace.api_access_enabled == True) # noqa: E712 + stmt = stmt.filter(Workspace.api_access_enabled == True) # noqa: E712 result = await session.execute(stmt) return list(result.scalars().all()) @@ -105,57 +105,57 @@ async def get_allowed_read_space_ids( async def _enforce_api_access_gate( session: AsyncSession, auth: AuthContext, - search_space_id: int, - search_space: SearchSpace | None = None, -) -> SearchSpace: - if search_space is None: + workspace_id: int, + workspace: Workspace | None = None, +) -> Workspace: + if workspace is None: result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) + select(Workspace).filter(Workspace.id == workspace_id) ) - search_space = result.scalars().first() + workspace = result.scalars().first() - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") + if not workspace: + raise HTTPException(status_code=404, detail="Workspace not found") - if auth.is_gated and not search_space.api_access_enabled: + if auth.is_gated and not workspace.api_access_enabled: raise HTTPException( status_code=403, - detail="API access is not enabled for this search space.", + detail="API access is not enabled for this workspace.", ) - return search_space + return workspace async def check_permission( session: AsyncSession, auth: AuthContext, - search_space_id: int, + workspace_id: int, required_permission: str, error_message: str = "You don't have permission to perform this action", -) -> SearchSpaceMembership: +) -> WorkspaceMembership: """ - Check if a user has a specific permission in a search space. + Check if a user has a specific permission in a workspace. Raises HTTPException if permission is denied. Args: session: Database session user: User object - search_space_id: Search space ID + workspace_id: Workspace ID required_permission: Permission string to check error_message: Custom error message for permission denied Returns: - SearchSpaceMembership if permission granted + WorkspaceMembership if permission granted Raises: HTTPException: If user doesn't have access or permission """ - membership = await get_user_membership(session, auth.user.id, search_space_id) + membership = await get_user_membership(session, auth.user.id, workspace_id) if not membership: raise HTTPException( status_code=403, - detail="You don't have access to this search space", + detail="You don't have access to this workspace", ) # Get user's permissions @@ -169,110 +169,110 @@ async def check_permission( if not has_permission(permissions, required_permission): raise HTTPException(status_code=403, detail=error_message) - await _enforce_api_access_gate(session, auth, search_space_id) + await _enforce_api_access_gate(session, auth, workspace_id) return membership -async def check_search_space_access( +async def check_workspace_access( session: AsyncSession, auth: AuthContext, - search_space_id: int, -) -> SearchSpaceMembership: + workspace_id: int, +) -> WorkspaceMembership: """ - Check if a user has any access to a search space. + Check if a user has any access to a workspace. This is used for basic access control (user is a member). Args: session: Database session user: User object - search_space_id: Search space ID + workspace_id: Workspace ID Returns: - SearchSpaceMembership if user has access + WorkspaceMembership if user has access Raises: HTTPException: If user doesn't have access """ - membership = await get_user_membership(session, auth.user.id, search_space_id) + membership = await get_user_membership(session, auth.user.id, workspace_id) if not membership: raise HTTPException( status_code=403, - detail="You don't have access to this search space", + detail="You don't have access to this workspace", ) - await _enforce_api_access_gate(session, auth, search_space_id) + await _enforce_api_access_gate(session, auth, workspace_id) return membership -async def is_search_space_owner( +async def is_workspace_owner( session: AsyncSession, user_id: UUID, - search_space_id: int, + workspace_id: int, ) -> bool: """ - Check if a user is the owner of a search space. + Check if a user is the owner of a workspace. Args: session: Database session user_id: User UUID - search_space_id: Search space ID + workspace_id: Workspace ID Returns: True if user is the owner, False otherwise """ - membership = await get_user_membership(session, user_id, search_space_id) + membership = await get_user_membership(session, user_id, workspace_id) return membership is not None and membership.is_owner -async def get_search_space_with_access_check( +async def get_workspace_with_access_check( session: AsyncSession, auth: AuthContext, - search_space_id: int, + workspace_id: int, required_permission: str | None = None, -) -> tuple[SearchSpace, SearchSpaceMembership]: +) -> tuple[Workspace, WorkspaceMembership]: """ - Get a search space with access and optional permission check. + Get a workspace with access and optional permission check. Args: session: Database session user: User object - search_space_id: Search space ID + workspace_id: Workspace ID required_permission: Optional permission to check Returns: - Tuple of (SearchSpace, SearchSpaceMembership) + Tuple of (Workspace, WorkspaceMembership) Raises: - HTTPException: If search space not found or user lacks access/permission + HTTPException: If workspace not found or user lacks access/permission """ - # Get the search space + # Get the workspace result = await session.execute( - select(SearchSpace).filter(SearchSpace.id == search_space_id) + select(Workspace).filter(Workspace.id == workspace_id) ) - search_space = result.scalars().first() + workspace = result.scalars().first() - if not search_space: - raise HTTPException(status_code=404, detail="Search space not found") + if not workspace: + raise HTTPException(status_code=404, detail="Workspace not found") # Check access if required_permission: membership = await check_permission( - session, auth, search_space_id, required_permission + session, auth, workspace_id, required_permission ) else: - membership = await check_search_space_access(session, auth, search_space_id) + membership = await check_workspace_access(session, auth, workspace_id) - await _enforce_api_access_gate(session, auth, search_space_id, search_space) + await _enforce_api_access_gate(session, auth, workspace_id, workspace) - return search_space, membership + return workspace, membership def generate_invite_code() -> str: """ - Generate a unique invite code for search space invites. + Generate a unique invite code for workspace invites. Returns: A 32-character URL-safe invite code @@ -282,22 +282,22 @@ def generate_invite_code() -> str: async def get_default_role( session: AsyncSession, - search_space_id: int, -) -> SearchSpaceRole | None: + workspace_id: int, +) -> WorkspaceRole | None: """ - Get the default role for a search space (used when accepting invites without a specific role). + Get the default role for a workspace (used when accepting invites without a specific role). Args: session: Database session - search_space_id: Search space ID + workspace_id: Workspace ID Returns: - Default SearchSpaceRole or None + Default WorkspaceRole or None """ result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.search_space_id == search_space_id, - SearchSpaceRole.is_default == True, # noqa: E712 + select(WorkspaceRole).filter( + WorkspaceRole.workspace_id == workspace_id, + WorkspaceRole.is_default == True, # noqa: E712 ) ) return result.scalars().first() @@ -305,22 +305,22 @@ async def get_default_role( async def get_owner_role( session: AsyncSession, - search_space_id: int, -) -> SearchSpaceRole | None: + workspace_id: int, +) -> WorkspaceRole | None: """ - Get the Owner role for a search space. + Get the Owner role for a workspace. Args: session: Database session - search_space_id: Search space ID + workspace_id: Workspace ID Returns: - Owner SearchSpaceRole or None + Owner WorkspaceRole or None """ result = await session.execute( - select(SearchSpaceRole).filter( - SearchSpaceRole.search_space_id == search_space_id, - SearchSpaceRole.name == "Owner", + select(WorkspaceRole).filter( + WorkspaceRole.workspace_id == workspace_id, + WorkspaceRole.name == "Owner", ) ) return result.scalars().first() diff --git a/surfsense_backend/app/utils/validators.py b/surfsense_backend/app/utils/validators.py index 6a87679ec..98bf8aa85 100644 --- a/surfsense_backend/app/utils/validators.py +++ b/surfsense_backend/app/utils/validators.py @@ -12,60 +12,110 @@ from typing import Any import validators from fastapi import HTTPException +# Connectors retired during the MCP migration: no viable official MCP server +# exists yet, so new connections are refused. Existing rows keep working until +# the user removes them. If demand returns, reinstate the connector by dropping +# it from this set and re-enabling its subagent/route. +# +# The four search APIs (TAVILY/SEARXNG/LINKUP/BAIDU) are deprecated alongside the +# Google-only web-search consolidation: public web search now runs through the +# google_search subagent, and users who still want Tavily/Linkup can add them via +# the generic Custom MCP connector (API-key headers). +DEPRECATED_CONNECTOR_TYPES: frozenset[str] = frozenset( + { + "DISCORD_CONNECTOR", + "TEAMS_CONNECTOR", + "LUMA_CONNECTOR", + "TAVILY_API", + "SEARXNG_API", + "LINKUP_API", + "BAIDU_SEARCH_API", + # Legacy content crawlers/search superseded by the file Import menu and + # hosted MCP tooling. Created via the generic connector /add route, which + # is the single choke point enforcing this deprecation. + "YOUTUBE_CONNECTOR", + "WEBCRAWLER_CONNECTOR", + "ELASTICSEARCH_CONNECTOR", + } +) -def validate_search_space_id(search_space_id: Any) -> int: + +def raise_if_connector_deprecated(connector_type: str | Any) -> None: + """Refuse new connections for a deprecated connector type (HTTP 410 Gone).""" + connector_type_str = ( + connector_type.value + if hasattr(connector_type, "value") + else str(connector_type) + ) + if connector_type_str in DEPRECATED_CONNECTOR_TYPES: + pretty = ( + connector_type_str.replace("_CONNECTOR", "") + .replace("_SEARCH_API", "") + .replace("_API", "") + .replace("_", " ") + .title() + ) + raise HTTPException( + status_code=410, + detail=( + f"The {pretty} connector has been deprecated and can no longer be " + "connected. If you were relying on it heavily, let us know and we'll " + "consider bringing it back." + ), + ) + + +def validate_workspace_id(workspace_id: Any) -> int: """ - Validate and convert search_space_id to integer. + Validate and convert workspace_id to integer. Args: - search_space_id: The search space ID to validate + workspace_id: The workspace ID to validate Returns: - int: Validated search space ID + int: Validated workspace ID Raises: HTTPException: If validation fails """ - if search_space_id is None: - raise HTTPException(status_code=400, detail="search_space_id is required") + if workspace_id is None: + raise HTTPException(status_code=400, detail="workspace_id is required") - if isinstance(search_space_id, bool): + if isinstance(workspace_id, bool): raise HTTPException( - status_code=400, detail="search_space_id must be an integer, not a boolean" + status_code=400, detail="workspace_id must be an integer, not a boolean" ) - if isinstance(search_space_id, int): - if search_space_id <= 0: + if isinstance(workspace_id, int): + if workspace_id <= 0: raise HTTPException( - status_code=400, detail="search_space_id must be a positive integer" + status_code=400, detail="workspace_id must be a positive integer" ) - return search_space_id + return workspace_id - if isinstance(search_space_id, str): + if isinstance(workspace_id, str): # Check if it's a valid integer string - if not search_space_id.strip(): - raise HTTPException( - status_code=400, detail="search_space_id cannot be empty" - ) + if not workspace_id.strip(): + raise HTTPException(status_code=400, detail="workspace_id cannot be empty") # Check for valid integer format (no leading zeros, no decimal points) - if not re.match(r"^[1-9]\d*$", search_space_id.strip()): + if not re.match(r"^[1-9]\d*$", workspace_id.strip()): raise HTTPException( status_code=400, - detail="search_space_id must be a valid positive integer", + detail="workspace_id must be a valid positive integer", ) - value = int(search_space_id.strip()) + value = int(workspace_id.strip()) # Regex already guarantees value > 0, but check retained for clarity if value <= 0: raise HTTPException( - status_code=400, detail="search_space_id must be a positive integer" + status_code=400, detail="workspace_id must be a positive integer" ) return value raise HTTPException( status_code=400, - detail="search_space_id must be an integer or string representation of an integer", + detail="workspace_id must be an integer or string representation of an integer", ) @@ -469,22 +519,6 @@ def validate_connector_config( if not isinstance(value, list) or not value: raise ValueError(f"{field_name} must be a non-empty list of strings") - def validate_firecrawl_api_key_format() -> None: - """Validate Firecrawl API key format if provided.""" - api_key = config.get("FIRECRAWL_API_KEY", "") - if api_key and api_key.strip() and not api_key.strip().startswith("fc-"): - raise ValueError( - "Firecrawl API key should start with 'fc-'. Please verify your API key." - ) - - def validate_initial_urls() -> None: - initial_urls = config.get("INITIAL_URLS", "") - if initial_urls and initial_urls.strip(): - urls = [url.strip() for url in initial_urls.split("\n") if url.strip()] - for url in urls: - if not validators.url(url): - raise ValueError(f"Invalid URL format in INITIAL_URLS: {url}") - # Lookup table for connector validation rules connector_rules = { "SERPER_API": {"required": ["SERPER_API_KEY"], "validators": {}}, @@ -570,14 +604,6 @@ def validate_connector_config( # "validators": {} # }, "LUMA_CONNECTOR": {"required": ["LUMA_API_KEY"], "validators": {}}, - "WEBCRAWLER_CONNECTOR": { - "required": [], # No required fields - API key is optional - "optional": ["FIRECRAWL_API_KEY", "INITIAL_URLS"], - "validators": { - "FIRECRAWL_API_KEY": lambda: validate_firecrawl_api_key_format(), - "INITIAL_URLS": lambda: validate_initial_urls(), - }, - }, } rules = connector_rules.get(connector_type_str) diff --git a/surfsense_backend/app/utils/webcrawler_utils.py b/surfsense_backend/app/utils/webcrawler_utils.py deleted file mode 100644 index 31d2ebe50..000000000 --- a/surfsense_backend/app/utils/webcrawler_utils.py +++ /dev/null @@ -1,28 +0,0 @@ -""" -Utility functions for webcrawler connector. -""" - - -def parse_webcrawler_urls(initial_urls: str | list | None) -> list[str]: - """ - Parse URLs from webcrawler INITIAL_URLS value. - - Handles both string (newline-separated) and list formats. - - Args: - initial_urls: The INITIAL_URLS value (string, list, or None) - - Returns: - List of parsed, stripped, non-empty URLs - """ - if initial_urls is None: - return [] - - if isinstance(initial_urls, str): - return [url.strip() for url in initial_urls.split("\n") if url.strip()] - elif isinstance(initial_urls, list): - return [ - url.strip() for url in initial_urls if isinstance(url, str) and url.strip() - ] - else: - return [] diff --git a/surfsense_backend/app/zero_publication.py b/surfsense_backend/app/zero_publication.py index c16f27087..c44a29dcd 100644 --- a/surfsense_backend/app/zero_publication.py +++ b/surfsense_backend/app/zero_publication.py @@ -28,7 +28,7 @@ DOCUMENT_COLS = [ "id", "title", "document_type", - "search_space_id", + "workspace_id", "folder_id", "created_by_id", "status", @@ -54,12 +54,12 @@ AUTOMATION_RUN_COLS = [ AUTOMATION_COLS = [ "id", - "search_space_id", + "workspace_id", ] NEW_CHAT_THREAD_COLS = [ "id", - "search_space_id", + "workspace_id", ] # Enough to drive the lifecycle UI by push: status, the reviewable brief, and @@ -73,7 +73,7 @@ PODCAST_COLS = [ "spec_version", "duration_seconds", "error", - "search_space_id", + "workspace_id", "thread_id", "created_at", ] @@ -173,6 +173,37 @@ def apply_publication(conn: Connection) -> None: conn.execute(text(build_set_table_sql(conn))) +def ensure_publication(conn: Connection) -> None: + """Create ``zero_publication`` if missing, then reconcile if its shape drifted. + + Startup-bootstrap counterpart of migration 116: databases created via + ``Base.metadata.create_all`` (dev/test, ``DB_BOOTSTRAP_ON_STARTUP=TRUE``) + never run migrations, so without this zero-cache crash-loops on + ``Unknown or invalid publications``. Idempotent: when the publication + already matches the canonical shape no DDL is emitted, so a normal boot + fires no event triggers and never disturbs a running zero-cache. + """ + + exists = conn.execute( + text("SELECT 1 FROM pg_publication WHERE pubname = :name"), + {"name": PUBLICATION_NAME}, + ).fetchone() + if not exists: + # Seed with one table; the reconcile below sets the full canonical + # shape. CREATE PUBLICATION is safe here (unlike in migrations, see + # 116_create_zero_publication.py): the publication does not exist, so + # no zero-cache replica can be attached to it yet. + conn.execute( + text( + f"CREATE PUBLICATION {_quote_identifier(PUBLICATION_NAME)} " + "FOR TABLE notifications" + ) + ) + + if verify_publication(conn): + conn.execute(text(build_set_table_sql(conn))) + + def _actual_publication_shape(conn: Connection) -> dict[str, list[str] | None]: rows = conn.execute( text( diff --git a/surfsense_backend/main.py b/surfsense_backend/main.py index 54911a34d..de7b0dace 100644 --- a/surfsense_backend/main.py +++ b/surfsense_backend/main.py @@ -6,10 +6,6 @@ import sys import uvicorn from dotenv import load_dotenv -# Fix for Windows: psycopg requires SelectorEventLoop, not ProactorEventLoop -if sys.platform == "win32": - asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) - from app.config.uvicorn import load_uvicorn_config _old_log_record_factory = logging.getLogRecordFactory() @@ -47,6 +43,14 @@ if __name__ == "__main__": server = uvicorn.Server(config) if sys.platform == "win32": + # Windows needs a split-loop setup: psycopg's async driver requires a + # SelectorEventLoop (no add_reader on Proactor), so the SERVER loop is + # forced to Selector via loop_factory. The global policy is left at + # its default (Proactor) so worker threads that call + # asyncio.new_event_loop() — playwright/patchright sync API used by + # the scrapers, unstructured, etc. — get a loop that CAN spawn + # subprocesses. Do not set WindowsSelectorEventLoopPolicy globally: + # that breaks every browser-based scraper with NotImplementedError. asyncio.run(server.serve(), loop_factory=asyncio.SelectorEventLoop) else: server.run() diff --git a/surfsense_backend/pyproject.toml b/surfsense_backend/pyproject.toml index 8c9e96852..2faa2be17 100644 --- a/surfsense_backend/pyproject.toml +++ b/surfsense_backend/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "surf-new-backend" -version = "0.0.30" +version = "0.0.31" description = "SurfSense Backend" requires-python = ">=3.12" dependencies = [ @@ -18,7 +18,6 @@ dependencies = [ "google-api-python-client>=2.156.0", "google-auth-oauthlib>=1.2.1", "kokoro>=0.9.4", - "linkup-sdk>=0.2.4", "llama-cloud-services>=0.6.25", "Markdown>=3.7", "markdownify>=0.14.1", @@ -34,7 +33,6 @@ dependencies = [ "spacy>=3.8.7", "en-core-web-sm@https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl", "static-ffmpeg>=2.13", - "tavily-python>=0.3.2", "uvicorn[standard]>=0.34.0", "validators>=0.34.0", "youtube-transcript-api>=1.0.3", @@ -42,11 +40,11 @@ dependencies = [ "faster-whisper>=1.1.0", "celery[redis]>=5.5.3", "redis>=5.2.1", - "firecrawl-py>=4.9.0", "boto3>=1.35.0", "azure-storage-blob>=12.23.0", "fake-useragent>=2.2.0", "trafilatura>=2.0.0", + "captchatools>=1.5.0", "fastapi-users[oauth,sqlalchemy]>=15.0.3", "chonkie[all]>=1.5.0", "langgraph-checkpoint-postgres>=3.0.2", diff --git a/surfsense_backend/scripts/check_migration_flow.py b/surfsense_backend/scripts/check_migration_flow.py new file mode 100644 index 000000000..18587f836 --- /dev/null +++ b/surfsense_backend/scripts/check_migration_flow.py @@ -0,0 +1,143 @@ +"""Self-check for the alembic fast-forward/adoption flow in alembic/env.py. + +Verifies ``alembic upgrade head`` succeeds on the three DB states it must +handle without replaying pre-workspace-rename history against a +workspace-shape schema: + + 1. fresh -- empty database (fast-forward: create_all + stamp head) + 2. bootstrap -- create_all-created schema + zero_publication, no alembic + history (adoption: stamp head) + 3. midcrash -- bootstrap schema whose alembic_version is stuck at a + pre-rename revision from a failed replay (adoption: stamp head) + +Run: python scripts/check_migration_flow.py +""" + +import asyncio +import os +import subprocess +import sys +from pathlib import Path + +BACKEND_DIR = Path(__file__).resolve().parents[1] +sys.path.insert(0, str(BACKEND_DIR)) + +ADMIN_URL = os.getenv( + "ADMIN_DATABASE_URL", "postgresql://postgres:postgres@localhost:5432/postgres" +) +SCRATCH_DB = "surfsense_check_migration_flow" +SCRATCH_URL = ADMIN_URL.rsplit("/", 1)[0] + f"/{SCRATCH_DB}" +SCRATCH_URL_ASYNC = SCRATCH_URL.replace("postgresql://", "postgresql+asyncpg://") + + +async def recreate_scratch_db() -> None: + import asyncpg + + admin = await asyncpg.connect(ADMIN_URL) + await admin.execute(f'DROP DATABASE IF EXISTS "{SCRATCH_DB}" WITH (FORCE)') + await admin.execute(f'CREATE DATABASE "{SCRATCH_DB}"') + await admin.close() + + +async def drop_scratch_db() -> None: + import asyncpg + + admin = await asyncpg.connect(ADMIN_URL) + await admin.execute(f'DROP DATABASE IF EXISTS "{SCRATCH_DB}" WITH (FORCE)') + await admin.close() + + +def run_alembic_upgrade() -> None: + env = dict(os.environ, DATABASE_URL=SCRATCH_URL_ASYNC) + subprocess.run( + [sys.executable, "-m", "alembic", "upgrade", "head"], + cwd=BACKEND_DIR, + env=env, + check=True, + ) + + +async def bootstrap_schema() -> None: + """Mimic app startup bootstrap: create_all + ensure_publication, no stamp.""" + from sqlalchemy import text + from sqlalchemy.ext.asyncio import create_async_engine + + from app.db import Base + from app.zero_publication import ensure_publication + + engine = create_async_engine(SCRATCH_URL_ASYNC) + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector")) + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm")) + await conn.run_sync(Base.metadata.create_all) + await conn.run_sync(ensure_publication) + await engine.dispose() + + +async def set_version(version: str | None) -> None: + import asyncpg + + conn = await asyncpg.connect(SCRATCH_URL) + if version is None: + await conn.execute("DROP TABLE IF EXISTS alembic_version") + else: + await conn.execute( + "CREATE TABLE IF NOT EXISTS alembic_version (" + "version_num VARCHAR(32) NOT NULL PRIMARY KEY)" + ) + await conn.execute("DELETE FROM alembic_version") + await conn.execute( + "INSERT INTO alembic_version (version_num) VALUES ($1)", version + ) + await conn.close() + + +async def assert_at_head() -> None: + import asyncpg + + from alembic.script import ScriptDirectory + + head = ScriptDirectory(str(BACKEND_DIR / "alembic")).get_current_head() + conn = await asyncpg.connect(SCRATCH_URL) + version = await conn.fetchval("SELECT version_num FROM alembic_version") + workspaces = await conn.fetchval("SELECT to_regclass('workspaces')") + publication = await conn.fetchval( + "SELECT 1 FROM pg_publication WHERE pubname = 'zero_publication'" + ) + await conn.close() + assert version == head, f"expected version {head}, got {version}" + assert workspaces, "workspaces table missing" + assert publication, "zero_publication missing" + + +async def main() -> None: + try: + # 1. Fresh empty DB -> fast-forward. + await recreate_scratch_db() + run_alembic_upgrade() + await assert_at_head() + print("OK: fresh DB fast-forwards to head") + + # 2. Bootstrap-created schema, no alembic history -> adoption. + await recreate_scratch_db() + await bootstrap_schema() + await set_version(None) + run_alembic_upgrade() + await assert_at_head() + print("OK: bootstrap-created schema adopted (stamped head)") + + # 3. Bootstrap schema stuck at a pre-rename revision -> adoption. + await set_version("4") + run_alembic_upgrade() + await assert_at_head() + print("OK: pre-rename stuck revision adopted (stamped head)") + + # Re-run must be a clean no-op. + run_alembic_upgrade() + await assert_at_head() + print("OK: repeat upgrade is a no-op") + finally: + await drop_scratch_db() + + +asyncio.run(main()) diff --git a/surfsense_backend/scripts/check_zero_publication_bootstrap.py b/surfsense_backend/scripts/check_zero_publication_bootstrap.py new file mode 100644 index 000000000..3738901c1 --- /dev/null +++ b/surfsense_backend/scripts/check_zero_publication_bootstrap.py @@ -0,0 +1,48 @@ +"""Self-check for ensure_publication on a create_all-bootstrapped scratch DB.""" + +import asyncio + +import asyncpg +from sqlalchemy import text +from sqlalchemy.ext.asyncio import create_async_engine + +SCRATCH_DB = "surfsense_zero_pub_check" +ADMIN_DSN = "postgresql://postgres:postgres@localhost:5432/postgres" +SCRATCH_URL = f"postgresql+asyncpg://postgres:postgres@localhost:5432/{SCRATCH_DB}" + + +async def main() -> None: + admin = await asyncpg.connect(ADMIN_DSN) + await admin.execute(f'DROP DATABASE IF EXISTS "{SCRATCH_DB}" WITH (FORCE)') + await admin.execute(f'CREATE DATABASE "{SCRATCH_DB}"') + await admin.close() + + from app.db import Base + from app.zero_publication import ensure_publication, verify_publication + + engine = create_async_engine(SCRATCH_URL) + try: + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector")) + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm")) + await conn.run_sync(Base.metadata.create_all) + await conn.run_sync(ensure_publication) + mismatches = await conn.run_sync(verify_publication) + assert not mismatches, f"shape wrong after ensure: {mismatches}" + + # Second call must be a no-op that leaves a verified shape. + await conn.run_sync(ensure_publication) + mismatches = await conn.run_sync(verify_publication) + assert not mismatches, f"shape wrong after re-ensure: {mismatches}" + finally: + await engine.dispose() + admin = await asyncpg.connect(ADMIN_DSN) + await admin.execute(f'DROP DATABASE IF EXISTS "{SCRATCH_DB}" WITH (FORCE)') + await admin.close() + + print( + "OK: ensure_publication creates and verifies on a create_all DB, idempotently." + ) + + +asyncio.run(main()) diff --git a/surfsense_backend/scripts/e2e_google_maps_deep.py b/surfsense_backend/scripts/e2e_google_maps_deep.py new file mode 100644 index 000000000..efaf4f588 --- /dev/null +++ b/surfsense_backend/scripts/e2e_google_maps_deep.py @@ -0,0 +1,824 @@ +"""Deep functional verification for the Google Maps scraper (live network). + +Complements the fast smoke e2e (e2e_google_maps_scraper.py) with breadth: +diverse places (countries, scripts, categories), URL-kind coverage (name-only +URLs, CID), and review semantics (sort order, date cutoff, pagination +uniqueness, personal-data stripping, localization). + +Verification style: ground-truth invariants instead of screenshots — known +coordinates/websites/address keywords for world-famous places, and internal +consistency rules (newest sort is monotonically non-increasing, cutoff dates +hold, review IDs are unique across pages, etc.). + +Run from the backend directory: + .\\.venv\\Scripts\\python.exe scripts/e2e_google_maps_deep.py +""" + +import asyncio +import itertools +import sys +from datetime import datetime +from pathlib import Path + +from dotenv import load_dotenv + +if hasattr(sys.stdout, "reconfigure"): + sys.stdout.reconfigure(encoding="utf-8") + +_BACKEND_ROOT = Path(__file__).resolve().parent.parent +sys.path.insert(0, str(_BACKEND_ROOT)) +for _candidate in (_BACKEND_ROOT / ".env", _BACKEND_ROOT.parent / ".env"): + if _candidate.exists(): + load_dotenv(_candidate) + break + +from app.proprietary.platforms.google_maps import ( # noqa: E402 + GoogleMapsReviewsInput, + GoogleMapsScrapeInput, + scrape_places, + scrape_reviews, +) + +_CHECKS: list[tuple[str, bool, str]] = [] + + +def _check(label: str, ok: bool, detail: str = "") -> bool: + _CHECKS.append((label, ok, detail)) + print(f" [{'PASS' if ok else 'FAIL'}] {label}{f' — {detail}' if detail else ''}") + return ok + + +def _hr(title: str) -> None: + print(f"\n{'=' * 70}\n{title}\n{'=' * 70}") + + +def _near(actual: float | None, expected: float, tol: float = 0.05) -> bool: + return actual is not None and abs(actual - expected) <= tol + + +def _iso(s: str | None) -> datetime | None: + if not s: + return None + try: + return datetime.fromisoformat(s.replace("Z", "+00:00")) + except ValueError: + return None + + +# Ground truth: world-famous places whose facts don't drift. Name-only URLs +# exercise the HTML -> fid resolution path for every one of them. +_PLACES = [ + { + "label": "Eiffel Tower (FR landmark)", + "url": "https://www.google.com/maps/place/Eiffel+Tower/", + "title_contains": "eiffel", + "lat": 48.8584, + "lng": 2.2945, + "address_contains": ["paris", "75007", "france"], + "website_contains": "toureiffel", + }, + { + "label": "Tokyo Tower (JP, non-Latin locale)", + "url": "https://www.google.com/maps/place/Tokyo+Tower/", + "title_contains": "tokyo tower", + "lat": 35.6586, + "lng": 139.7454, + "address_contains": ["tokyo", "japan", "minato"], + }, + { + "label": "Sydney Opera House (AU)", + "url": "https://www.google.com/maps/place/Sydney+Opera+House/", + "title_contains": "opera house", + "lat": -33.8568, + "lng": 151.2153, + "address_contains": ["sydney", "nsw", "australia"], + }, + { + "label": "The Plaza Hotel (US hotel category)", + "url": "https://www.google.com/maps/place/The+Plaza+Hotel+New+York/", + "title_contains": "plaza", + "lat": 40.7646, + "lng": -73.9744, + "address_contains": ["new york", "ny"], + "category_contains": "hotel", + }, +] + +_KIMS_CID_URL = "https://maps.google.com/?cid=7838756667406262025" # Kim's Island +_KIMS_PLACE_ID = "ChIJJQz5EZzKw4kRCZ95UajbyGw" +_LOUVRE_URL = "https://www.google.com/maps/place/Louvre+Museum/" + + +async def scrape_one(url: str, **kwargs) -> dict | None: + items = await scrape_places( + GoogleMapsScrapeInput(startUrls=[{"url": url}], **kwargs) + ) + return items[0] if items else None + + +async def step_diverse_places() -> None: + _hr("A — diverse places via name-only URLs (HTML -> fid path)") + for spec in _PLACES: + it = await scrape_one(spec["url"]) + if it is None: + _check(spec["label"], False, "no item returned") + continue + title = (it.get("title") or "").lower() + loc = it.get("location") or {} + addr = (it.get("address") or "").lower() + problems = [] + if spec["title_contains"] not in title: + problems.append(f"title={it.get('title')!r}") + if not _near(loc.get("lat"), spec["lat"]) or not _near( + loc.get("lng"), spec["lng"] + ): + problems.append(f"loc={loc}") + if not any(k in addr for k in spec["address_contains"]): + problems.append(f"address={it.get('address')!r}") + if not it.get("placeId"): + problems.append("no placeId") + if not it.get("categories"): + problems.append("no categories") + if spec.get("website_contains") and spec["website_contains"] not in ( + it.get("website") or "" + ): + problems.append(f"website={it.get('website')!r}") + if ( + spec.get("category_contains") + and spec["category_contains"] + not in ( + (it.get("categoryName") or "") + " ".join(it.get("categories") or []) + ).lower() + ): + problems.append(f"categories={it.get('categories')}") + _check( + spec["label"], + not problems, + "; ".join(problems) + or f"{it.get('title')!r} @ ({loc.get('lat'):.4f},{loc.get('lng'):.4f}) " + f"cat={it.get('categoryName')!r} score={it.get('totalScore')}", + ) + + +async def step_cid_url() -> None: + _hr("B — CID URL dispatch") + it = await scrape_one(_KIMS_CID_URL) + ok = it is not None and it.get("title") == "Kim's Island" + _check( + "?cid=... resolves to the right place", + ok, + f"title={it.get('title')!r}" if it else "no item", + ) + if it: + _check( + "cid place has full detail (phone+hours)", + bool(it.get("phone")) and bool(it.get("openingHours")), + f"phone={it.get('phone')!r}, hours={len(it.get('openingHours') or [])} days", + ) + + +async def step_review_sorts() -> None: + _hr("C — review sort semantics (Kim's Island)") + newest = await scrape_reviews( + GoogleMapsReviewsInput(placeIds=[_KIMS_PLACE_ID], maxReviews=10) + ) + dates = [_iso(r.get("publishedAtDate")) for r in newest] + dated = [d for d in dates if d] + _check( + "newest: publishedAtDate non-increasing", + len(dated) >= 5 and all(a >= b for a, b in itertools.pairwise(dated)), + f"{len(newest)} reviews, first={newest[0].get('publishAt') if newest else None}", + ) + + lowest = await scrape_reviews( + GoogleMapsReviewsInput( + placeIds=[_KIMS_PLACE_ID], maxReviews=10, reviewsSort="lowestRanking" + ) + ) + highest = await scrape_reviews( + GoogleMapsReviewsInput( + placeIds=[_KIMS_PLACE_ID], maxReviews=10, reviewsSort="highestRanking" + ) + ) + lo = [r["stars"] for r in lowest if r.get("stars")] + hi = [r["stars"] for r in highest if r.get("stars")] + lo_avg = sum(lo) / len(lo) if lo else 0 + hi_avg = sum(hi) / len(hi) if hi else 0 + _check( + "lowestRanking avg < highestRanking avg", + bool(lo and hi) and lo_avg < hi_avg, + f"lowest avg={lo_avg:.2f} (first={lo[:3]}), highest avg={hi_avg:.2f} (first={hi[:3]})", + ) + _check( + "highestRanking page is all 5 stars", + bool(hi) and all(s == 5 for s in hi), + f"stars={hi}", + ) + + +async def step_start_date_cutoff() -> None: + _hr("D — reviewsStartDate cutoff") + baseline = await scrape_reviews( + GoogleMapsReviewsInput(placeIds=[_KIMS_PLACE_ID], maxReviews=10) + ) + dated = [(_iso(r.get("publishedAtDate")), r) for r in baseline] + dated = [(d, r) for d, r in dated if d] + if len(dated) < 6: + _check("cutoff test has enough dated reviews", False, f"only {len(dated)}") + return + # Cut between the 4th and 5th newest review -> expect exactly 4 back. + cutoff_dt = dated[4][0] + cutoff = ( + dated[3][0].strftime("%Y-%m-%dT%H:%M:%S.000Z") + if dated[3][0] == cutoff_dt + else cutoff_dt.strftime("%Y-%m-%dT%H:%M:%S.000Z") + ) + got = await scrape_reviews( + GoogleMapsReviewsInput( + placeIds=[_KIMS_PLACE_ID], maxReviews=100, reviewsStartDate=cutoff + ) + ) + got_dates = [_iso(r.get("publishedAtDate")) for r in got] + cutoff_parsed = _iso(cutoff) + _check( + "all returned reviews >= cutoff", + bool(got) and all(d is None or d >= cutoff_parsed for d in got_dates), + f"cutoff={cutoff}, returned={len(got)} (expected ~4)", + ) + _check( + "cutoff actually limits the result", + 0 < len(got) < len(baseline) + 1 and len(got) <= 6, + f"{len(got)} vs baseline {len(baseline)}", + ) + + +async def step_personal_data() -> None: + _hr("E — personalData=false stripping") + items = await scrape_reviews( + GoogleMapsReviewsInput( + placeIds=[_KIMS_PLACE_ID], maxReviews=3, personalData=False + ) + ) + if not items: + _check("reviews returned", False) + return + leaked = [ + k + for k in ("name", "reviewerId", "reviewerUrl", "reviewerPhotoUrl") + if any(r.get(k) for r in items) + ] + _check( + "reviewer identity fields are absent", + not leaked, + f"leaked={leaked}" if leaked else f"{len(items)} reviews, ids+stars kept", + ) + _check( + "non-personal fields survive", + all(r.get("reviewId") and r.get("stars") for r in items), + ) + + +async def step_localization() -> None: + _hr("F — localization (language=fr)") + items = await scrape_reviews( + GoogleMapsReviewsInput( + startUrls=[{"url": "https://www.google.com/maps/place/Eiffel+Tower/"}], + maxReviews=5, + language="fr", + ) + ) + if not items: + _check("french reviews returned", False) + return + rel = [r.get("publishAt") or "" for r in items] + french = [s for s in rel if "il y a" in s or "mois" in s or "semaine" in s] + _check( + "relative dates come back in French", + len(french) >= 3, + f"publishAt={rel}", + ) + _check( + "items stamped language=fr", + all(r.get("language") == "fr" for r in items), + ) + + +async def step_big_place_pagination() -> None: + _hr("G — big place, 30 reviews across >=3 pages (Louvre)") + items = await scrape_reviews( + GoogleMapsReviewsInput(startUrls=[{"url": _LOUVRE_URL}], maxReviews=30) + ) + ids = [r.get("reviewId") for r in items] + _check( + "30 reviews with unique IDs", + len(items) == 30 and len(set(ids)) == 30, + f"{len(items)} reviews, {len(set(ids))} unique", + ) + ok_fields = all( + r.get("name") and r.get("stars") is not None and r.get("publishedAtDate") + for r in items + ) + _check("every review has author/stars/date", ok_fields) + _check( + "place header stamped on all (Louvre)", + all("louvre" in (r.get("title") or "").lower() for r in items), + f"title={items[0].get('title')!r}" if items else "", + ) + + +async def step_search_discovery() -> None: + _hr("I — search discovery: paging, rank, dedupe (pizza in New York)") + items = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["pizza"], + locationQuery="New York, NY", + maxCrawledPlacesPerSearch=25, + ) + ) + fids = [i.get("fid") for i in items] + _check( + "25 places across >1 page, all unique fids", + len(items) == 25 and len(set(fids)) == 25, + f"{len(items)} items, {len(set(fids))} unique", + ) + _check( + "ranks are 1..25 in order", + [i.get("rank") for i in items] == list(range(1, 26)), + ) + ny = sum( + 1 + for i in items + if i.get("location") + and 40.4 < (i["location"]["lat"] or 0) < 41.1 + and -74.3 < (i["location"]["lng"] or 0) < -73.6 + ) + _check( + "locationQuery scopes results to NYC", + ny >= 23, + f"{ny}/25 within NYC bounds", + ) + with_core = sum( + 1 for i in items if i.get("title") and i.get("placeId") and i.get("address") + ) + _check("all items have title/placeId/address", with_core == 25, f"{with_core}/25") + + +async def step_search_filters() -> None: + _hr("J — search filters (stars, website, matching)") + starred = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["restaurant"], + locationQuery="Chicago, IL", + maxCrawledPlacesPerSearch=10, + placeMinimumStars="fourAndHalf", + ) + ) + scores = [i.get("totalScore") for i in starred] + _check( + "placeMinimumStars=fourAndHalf holds", + bool(scores) and all(s is not None and s >= 4.5 for s in scores), + f"scores={scores}", + ) + + no_web = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["restaurant"], + locationQuery="Chicago, IL", + maxCrawledPlacesPerSearch=5, + website="withoutWebsite", + ) + ) + _check( + "website=withoutWebsite holds", + bool(no_web) and all(not i.get("website") for i in no_web), + f"{len(no_web)} items, websites={[i.get('website') for i in no_web]}", + ) + + matching = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["pizza"], + locationQuery="Boston, MA", + maxCrawledPlacesPerSearch=5, + searchMatching="only_includes", + ) + ) + titles = [i.get("title") for i in matching] + _check( + "searchMatching=only_includes keeps 'pizza' in titles", + bool(titles) and all("pizza" in (t or "").lower() for t in titles), + f"titles={titles}", + ) + + +async def step_search_closed() -> None: + _hr("K — closed-place detection + skipClosedPlaces (Dean & DeLuca)") + q = "Dean DeLuca 560 Broadway New York" + found = await scrape_places( + GoogleMapsScrapeInput(searchStringsArray=[q], maxCrawledPlacesPerSearch=3) + ) + dean = next((i for i in found if "DeLuca" in (i.get("title") or "")), None) + _check( + "permanently closed place flagged", + dean is not None and dean.get("permanentlyClosed") is True, + f"title={dean.get('title') if dean else None}, closed={dean.get('permanentlyClosed') if dean else None}", + ) + skipped = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=[q], + maxCrawledPlacesPerSearch=3, + skipClosedPlaces=True, + ) + ) + _check( + "skipClosedPlaces filters it out", + not any("DeLuca" in (i.get("title") or "") for i in skipped), + f"{len(skipped)} items after skip", + ) + + +async def step_search_url_and_geo() -> None: + _hr("L — /maps/search/ URL routing + customGeolocation") + via_url = await scrape_places( + GoogleMapsScrapeInput( + startUrls=[ + {"url": "https://www.google.com/maps/search/ramen+in+Osaka+Japan/"} + ], + maxCrawledPlacesPerSearch=5, + ) + ) + osaka = sum( + 1 + for i in via_url + if i.get("location") and 34.4 < (i["location"]["lat"] or 0) < 35.0 + ) + _check( + "/maps/search/ startUrl yields Osaka ramen places", + len(via_url) == 5 and osaka >= 4, + f"{len(via_url)} items, {osaka} in Osaka", + ) + + geo = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["museum"], + customGeolocation={ + "type": "Point", + "coordinates": [2.3522, 48.8566], # [lng, lat] Paris + "radiusKm": 10, + }, + maxCrawledPlacesPerSearch=5, + ) + ) + paris = sum( + 1 + for i in geo + if i.get("location") + and 48.5 < (i["location"]["lat"] or 0) < 49.2 + and 1.9 < (i["location"]["lng"] or 0) < 2.8 + ) + _check( + "customGeolocation Point scopes to Paris", + len(geo) >= 3 and paris >= 3, + f"{len(geo)} items, {paris} in Paris: {[i.get('title') for i in geo]}", + ) + + +async def step_search_pagination_stress() -> None: + _hr("M — search pagination stress (60 results / 3+ pages, exhaustion)") + items = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["restaurant"], + locationQuery="Manhattan, New York", + maxCrawledPlacesPerSearch=60, + ) + ) + fids = [i.get("fid") for i in items] + _check( + "60 places, all fids unique (offset paging + dedupe)", + len(items) == 60 and len(set(fids)) == 60, + f"{len(items)} items, {len(set(fids))} unique", + ) + _check( + "ranks strictly sequential 1..60", + [i.get("rank") for i in items] == list(range(1, 61)), + ) + manhattan = sum( + 1 + for i in items + if i.get("location") and 40.68 < (i["location"]["lat"] or 0) < 40.9 + ) + _check( + "results stay in Manhattan across pages", + manhattan >= 55, + f"{manhattan}/60 in bounds", + ) + + # A hyper-specific query has few results: paging must terminate on its + # own (no infinite loop, no error) well before the requested cap. + sparse = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["Kim's Island Staten Island"], + maxCrawledPlacesPerSearch=100, + ) + ) + _check( + "sparse query exhausts naturally below the cap", + 0 < len(sparse) < 25, + f"{len(sparse)} results", + ) + + +async def step_detail_extras() -> None: + _hr("N — detail-page extras (kgmid/cid/additionalInfo/links)") + # pin the exact place by fid — a name search returns a different Joe's + # branch run to run, which makes magnitude assertions flaky + items = await scrape_places( + GoogleMapsScrapeInput( + startUrls=[ + { + "url": "https://www.google.com/maps/place/Joe's+Pizza+Broadway/" + "data=!4m2!3m1!1s0x89c259ab3c1ef289:0x3b67a41175949f55" + } + ], + maxImages=5, + ) + ) + if not items: + _check("place returned", False) + return + it = items[0] + dist = it.get("reviewsDistribution") or {} + _check( + "reviewsCount + distribution (NID-session fields)", + (it.get("reviewsCount") or 0) > 20_000 + and (it.get("reviewsCount") == sum(dist.values())), + f"count={it.get('reviewsCount')}, dist={dist}", + ) + hist = it.get("popularTimesHistogram") or {} + _check( + "popular times histogram covers the week", + set(hist) == {"Su", "Mo", "Tu", "We", "Th", "Fr", "Sa"} + and all( + {"hour", "occupancyPercent"} <= set(slot) + for d in hist.values() + for slot in d + ), + f"days={sorted(hist)}", + ) + _check( + "image gallery fields (count/categories/urls capped at maxImages)", + (it.get("imagesCount") or 0) > 1000 + and "All" in (it.get("imageCategories") or []) + and len(it.get("imageUrls") or []) == 5, + f"count={it.get('imagesCount')}, cats={len(it.get('imageCategories') or [])}, " + f"urls={len(it.get('imageUrls') or [])}", + ) + tags = it.get("reviewsTags") or [] + _check( + "reviewsTags with counts", + len(tags) >= 5 and all(t.get("title") and t.get("count") for t in tags), + f"{tags[:2]}", + ) + _check( + "additionalInfo has full section set (not just Accessibility)", + len(it.get("additionalInfo") or {}) >= 8, + f"sections={list((it.get('additionalInfo') or {}).keys())}", + ) + + # scrapePlaceDetailPage on the SEARCH flow: search darrays lack the + # session-gated fields, so each hit must get enriched via a detail RPC. + enriched = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["ramen"], + locationQuery="Chicago, IL", + maxCrawledPlacesPerSearch=2, + scrapePlaceDetailPage=True, + ) + ) + _check( + "search flow + scrapePlaceDetailPage enriches every hit", + len(enriched) == 2 + and all( + (e.get("reviewsCount") or 0) > 0 and e.get("reviewsDistribution") + for e in enriched + ), + f"counts={[e.get('reviewsCount') for e in enriched]}", + ) + fid = it.get("fid") or "" + cid_ok = bool(fid) and it.get("cid") == str(int(fid.split(":")[1], 16)) + _check( + "kgmid + cid derived from fid", + bool(it.get("kgmid", "").startswith("/g/")) and cid_ok, + f"kgmid={it.get('kgmid')}, cid={it.get('cid')}", + ) + info = it.get("additionalInfo") or {} + _check( + "additionalInfo has sections with boolean options", + bool(info) + and all( + isinstance(v, list) and all(isinstance(e, dict) for e in v) + for v in info.values() + ), + f"sections={list(info.keys())}", + ) + + +async def step_hotel_fields() -> None: + _hr("O — hotel fields (The Plaza: stars, dates, similar, ads)") + items = await scrape_places( + GoogleMapsScrapeInput( + startUrls=[ + { + "url": "https://www.google.com/maps/place/The+Plaza/" + "data=!4m2!3m1!1s0x89c258f07d5da561:0x61f6aa300ba8339d" + } + ], + ) + ) + if not items: + _check("hotel returned", False) + return + it = items[0] + _check( + "hotelStars + check-in/out dates", + it.get("hotelStars") == "5 stars" + and (it.get("checkInDate") or "") < (it.get("checkOutDate") or ""), + f"stars={it.get('hotelStars')}, {it.get('checkInDate')}..{it.get('checkOutDate')}", + ) + similar = it.get("similarHotelsNearby") or [] + _check( + "similarHotelsNearby with fid/score", + len(similar) >= 3 and all(h.get("title") and h.get("fid") for h in similar), + f"{len(similar)} hotels, first={similar[0].get('title') if similar else None}", + ) + ads = it.get("hotelAds") or [] + _check( + "hotelAds with booking links", + bool(ads) and all(a.get("url", "").startswith("https://") for a in ads), + f"{len(ads)} ads", + ) + + +async def step_all_places_scan() -> None: + _hr("P — allPlacesNoSearchAction area scan (Times Square 400m)") + items = await scrape_places( + GoogleMapsScrapeInput( + allPlacesNoSearchAction="all_places_no_search_mouse", + customGeolocation={ + "type": "Point", + "coordinates": [-73.9855, 40.758], + "radiusKm": 0.4, + }, + maxCrawledPlacesPerSearch=25, + ) + ) + fids = [i.get("fid") for i in items] + _check( + "25 unique places without any search term", + len(items) == 25 and len(set(fids)) == 25, + f"{len(items)} items", + ) + cats = {i.get("categoryName") for i in items if i.get("categoryName")} + _check( + "multiple categories represented (sweep, not one query)", + len(cats) >= 5, + f"{len(cats)} categories", + ) + in_view = sum( + 1 for i in items if i.get("location") and 40.74 < i["location"]["lat"] < 40.78 + ) + _check("scan respects the viewport", in_view >= 23, f"{in_view}/25 in bounds") + + +async def step_short_url() -> None: + _hr("Q — short link (maps.app.goo.gl Firebase redirect -> place)") + # A real shared short link -> "Aux Merveilleux de Fred" (NYC). These are + # Firebase Dynamic Links (JS interstitial), so this exercises the browser- + # render redirect path in resolve_fid. fid is the ground-truth invariant. + it = await scrape_one("https://maps.app.goo.gl/8YUvDPbQPrasqC528") + _check( + "maps.app.goo.gl short link resolves to the right place", + it is not None + and it.get("fid") == "0x89c259957da502cd:0xed3eb58a4ca08a95" + and "merveilleux" in (it.get("title") or "").lower(), + f"title={it.get('title') if it else None!r}, fid={it.get('fid') if it else None}", + ) + + +async def step_filter_variants() -> None: + _hr("R — search filter variants (only_exact, categoryFilterWords)") + # only_exact: the parsed title must equal the query exactly (Seattle + # Starbucks are titled "Starbucks Coffee Company", not "Starbucks"). + exact = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["Starbucks Coffee Company"], + locationQuery="Seattle, WA", + maxCrawledPlacesPerSearch=8, + searchMatching="only_exact", + ) + ) + titles = [i.get("title") for i in exact] + _check( + "searchMatching=only_exact keeps only exact-title matches", + bool(titles) + and all((t or "").lower() == "starbucks coffee company" for t in titles), + f"{len(titles)} items, titles={titles[:3]}", + ) + # categoryFilterWords: drop places whose categories don't include a word. + coffee = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["food"], + locationQuery="Seattle, WA", + maxCrawledPlacesPerSearch=6, + categoryFilterWords=["coffee"], + ) + ) + _check( + "categoryFilterWords keeps only matching categories", + bool(coffee) + and all( + any("coffee" in c.lower() for c in (i.get("categories") or [])) + for i in coffee + ), + f"{len(coffee)} items, cats={[i.get('categories') for i in coffee][:2]}", + ) + + +async def step_reviews_origin() -> None: + _hr("S — reviewsOrigin=google filter") + # The public BOQ feed only carries Google-origin reviews (partner reviews + # aren't exposed anonymously), so the invariant is: nothing non-Google + # leaks through when origin is pinned to google. + items = await scrape_reviews( + GoogleMapsReviewsInput( + placeIds=[_KIMS_PLACE_ID], maxReviews=10, reviewsOrigin="google" + ) + ) + origins = {(r.get("reviewOrigin") or "Google") for r in items} + _check( + "reviewsOrigin=google -> only Google-origin reviews", + bool(items) and origins <= {"Google"}, + f"{len(items)} reviews, origins={origins}", + ) + + +async def step_inline_consistency() -> None: + _hr("H — inline reviews[] match the standalone reviews endpoint") + place = await scrape_one( + f"https://www.google.com/maps/place/?q=place_id:{_KIMS_PLACE_ID}", + maxReviews=5, + ) + standalone = await scrape_reviews( + GoogleMapsReviewsInput(placeIds=[_KIMS_PLACE_ID], maxReviews=5) + ) + if not place or not standalone: + _check("both sources returned data", False) + return + inline_ids = {r.get("reviewId") for r in (place.get("reviews") or [])} + standalone_ids = {r.get("reviewId") for r in standalone} + overlap = len(inline_ids & standalone_ids) + _check( + "inline and standalone reviews overlap (same feed)", + overlap >= 3, # feed ordering can shift slightly between calls + f"{overlap}/5 shared review IDs", + ) + + +async def main() -> int: + steps = [ + step_diverse_places(), + step_cid_url(), + step_review_sorts(), + step_start_date_cutoff(), + step_personal_data(), + step_localization(), + step_big_place_pagination(), + step_inline_consistency(), + step_search_discovery(), + step_search_filters(), + step_search_closed(), + step_search_url_and_geo(), + step_search_pagination_stress(), + step_detail_extras(), + step_hotel_fields(), + step_all_places_scan(), + step_short_url(), + step_filter_variants(), + step_reviews_origin(), + ] + for coro in steps: + try: + await coro + except Exception as e: # keep going; report the step as failed + _check(f"step crashed: {coro}", False, repr(e)) + + _hr("SUMMARY") + passed = sum(1 for _, ok, _ in _CHECKS if ok) + for label, ok, detail in _CHECKS: + if not ok: + print(f" FAILED: {label} — {detail}") + print(f" {passed}/{len(_CHECKS)} checks passed") + return 0 if passed == len(_CHECKS) else 1 + + +if __name__ == "__main__": + raise SystemExit(asyncio.run(main())) diff --git a/surfsense_backend/scripts/e2e_google_maps_scraper.py b/surfsense_backend/scripts/e2e_google_maps_scraper.py new file mode 100644 index 000000000..be452f3f1 --- /dev/null +++ b/surfsense_backend/scripts/e2e_google_maps_scraper.py @@ -0,0 +1,241 @@ +"""Manual functional e2e for the Google Maps scraper (app/proprietary/platforms/google_maps). + +Run from the backend directory: + cd surfsense_backend + uv run python scripts/e2e_google_maps_scraper.py + # or: .\\.venv\\Scripts\\python.exe scripts/e2e_google_maps_scraper.py + +NOT a pytest test (needs live network + optional proxy creds). It: + Step 1 — scrapes a known place URL and prints the core fields. + Step 2 — scrapes the same place by bare placeId (HTML -> fid -> RPC path). + Step 3 — dumps the raw place darray (jd[6] of /maps/preview/place) to + tests/unit/platforms/google_maps/fixtures/ for the offline parser test. + Step 4 — scrapes reviews via the Reviews endpoint (BOQ feed), checks fields. + Step 5 — paginates past one page (maxReviews=15) and checks the count. + Step 6 — place scrape with maxReviews>0 attaches inline reviews[]. + Step 7 — dumps a raw BOQ reviews page fixture for the offline parser test. + Step 8 — search discovery (searchStringsArray + locationQuery), checks items. + Step 9 — dumps a raw map-search response fixture for the offline parser test. +""" + +import asyncio +import json +import sys +from pathlib import Path + +from dotenv import load_dotenv + +# Windows consoles default to cp1252; reviews/ratings contain non-latin chars. +if hasattr(sys.stdout, "reconfigure"): + sys.stdout.reconfigure(encoding="utf-8") + +_BACKEND_ROOT = Path(__file__).resolve().parent.parent +sys.path.insert(0, str(_BACKEND_ROOT)) +for _candidate in (_BACKEND_ROOT / ".env", _BACKEND_ROOT.parent / ".env"): + if _candidate.exists(): + load_dotenv(_candidate) + break + +from app.proprietary.platforms.google_maps import ( # noqa: E402 + GoogleMapsReviewsInput, + GoogleMapsScrapeInput, + scrape_places, + scrape_reviews, +) +from app.proprietary.platforms.google_maps.fetch import ( # noqa: E402 + build_search_url, + fetch_place_darray, + fetch_rpc_json, + iter_reviews_pages, +) +from app.proprietary.platforms.google_maps.url_resolver import extract_fid # noqa: E402 + +# A well-known, stable place (the restaurant used in the Apify output example). +_PLACE_URL = ( + "https://www.google.com/maps/place/Kim's+Island/" + "@40.5107736,-74.2482624,17z/data=!4m6!3m5!1s0x89c3ca9c11f90c25:" + "0x6cc8dba851799f09!8m2!3d40.5107736!4d-74.2482624!16s%2Fg%2F1tmgdcj8?hl=en" +) + +_FIXTURE_DIR = ( + _BACKEND_ROOT / "tests" / "unit" / "platforms" / "google_maps" / "fixtures" +) + + +def _hr(title: str) -> None: + print(f"\n{'=' * 70}\n{title}\n{'=' * 70}") + + +def _check(label: str, ok: bool, detail: str = "") -> bool: + print(f" [{'PASS' if ok else 'FAIL'}] {label}{f' — {detail}' if detail else ''}") + return ok + + +async def step1_place() -> bool: + _hr("STEP 1 — scrape a known place URL") + items = await scrape_places(GoogleMapsScrapeInput(startUrls=[{"url": _PLACE_URL}])) + if not items: + return _check("place scraped", False, "no items returned") + it = items[0] + print(json.dumps(it, indent=2, ensure_ascii=False)[:2500]) + ok = bool(it.get("title")) and it.get("placeId") is not None + return _check( + "place has title + placeId", + ok, + f"{it.get('title')!r} / {it.get('totalScore')}★ / {it.get('reviewsCount')} reviews", + ) + + +async def step2_place_id() -> bool: + _hr("STEP 2 — scrape by bare placeId (HTML -> fid -> RPC path)") + items = await scrape_places( + GoogleMapsScrapeInput(placeIds=["ChIJJQz5EZzKw4kRCZ95UajbyGw"]) + ) + if not items: + return _check("placeId scraped", False, "no items returned") + it = items[0] + return _check( + "placeId resolves to same place", + it.get("title") == "Kim's Island", + f"{it.get('title')!r}", + ) + + +async def step3_dump_fixture() -> bool: + _hr("STEP 3 — dump raw place darray fixture for offline test") + fid = extract_fid(_PLACE_URL) + if not fid: + return _check("extracted fid from URL", False) + darray = await fetch_place_darray(fid) + if not darray: + return _check("fetched place darray via RPC", False) + _FIXTURE_DIR.mkdir(parents=True, exist_ok=True) + (_FIXTURE_DIR / "place_darray.json").write_text( + json.dumps(darray), encoding="utf-8" + ) + return _check("dumped fixture", True, f"-> {_FIXTURE_DIR / 'place_darray.json'}") + + +async def step4_reviews() -> bool: + _hr("STEP 4 — reviews endpoint (one page, newest first)") + items = await scrape_reviews( + GoogleMapsReviewsInput(startUrls=[{"url": _PLACE_URL}], maxReviews=5) + ) + if not items: + return _check("reviews returned", False, "no items") + it = items[0] + print(json.dumps(it, indent=2, ensure_ascii=False)[:1800]) + ok = ( + bool(it.get("name")) + and it.get("stars") is not None + and bool(it.get("reviewId")) + and it.get("title") == "Kim's Island" # place header stamped on + and bool(it.get("publishedAtDate")) + ) + return _check( + "review has author/stars/id/place header", + ok and len(items) == 5, + f"{len(items)} reviews, first by {it.get('name')!r} ({it.get('stars')}★)", + ) + + +async def step5_pagination() -> bool: + _hr("STEP 5 — pagination past one page (maxReviews=15)") + items = await scrape_reviews( + GoogleMapsReviewsInput(placeIds=["ChIJJQz5EZzKw4kRCZ95UajbyGw"], maxReviews=15) + ) + dates = [i.get("publishedAtDate") for i in items[:3]] + return _check( + "got 15 reviews across >1 page", + len(items) == 15, + f"{len(items)} reviews; newest: {dates}", + ) + + +async def step6_inline_reviews() -> bool: + _hr("STEP 6 — place scrape with maxReviews=3 attaches inline reviews[]") + items = await scrape_places( + GoogleMapsScrapeInput(startUrls=[{"url": _PLACE_URL}], maxReviews=3) + ) + if not items: + return _check("place scraped", False, "no items") + reviews = items[0].get("reviews") or [] + return _check( + "place item carries 3 inline reviews", + len(reviews) == 3 and bool(reviews[0].get("name")), + f"{len(reviews)} reviews inline", + ) + + +async def step7_dump_reviews_fixture() -> bool: + _hr("STEP 7 — dump raw BOQ reviews page fixture for offline test") + fid = extract_fid(_PLACE_URL) + async for raw_page in iter_reviews_pages(fid, sort="newest", max_pages=1): + _FIXTURE_DIR.mkdir(parents=True, exist_ok=True) + (_FIXTURE_DIR / "boq_reviews_page.json").write_text( + json.dumps(raw_page), encoding="utf-8" + ) + return _check( + "dumped fixture", + len(raw_page) > 0, + f"{len(raw_page)} reviews -> {_FIXTURE_DIR / 'boq_reviews_page.json'}", + ) + return _check("fetched a reviews page", False) + + +async def step8_search() -> bool: + _hr("STEP 8 — search discovery (query + locationQuery)") + items = await scrape_places( + GoogleMapsScrapeInput( + searchStringsArray=["coffee shop"], + locationQuery="Seattle, WA", + maxCrawledPlacesPerSearch=5, + ) + ) + if not items: + return _check("search returned items", False, "no items") + it = items[0] + print(json.dumps(it, indent=2, ensure_ascii=False)[:1500]) + ok = ( + len(items) == 5 + and all(i.get("title") and i.get("placeId") and i.get("fid") for i in items) + and [i.get("rank") for i in items] == [1, 2, 3, 4, 5] + and it.get("searchString") == "coffee shop" + ) + return _check( + "5 ranked places with title/placeId/fid", + ok, + f"first: {it.get('title')!r} ({it.get('totalScore')}★, {it.get('city')})", + ) + + +async def step9_dump_search_fixture() -> bool: + _hr("STEP 9 — dump raw map-search response fixture for offline test") + url = build_search_url("pizza new york") + jd = await fetch_rpc_json(url) + if not isinstance(jd, list): + return _check("fetched search response", False) + _FIXTURE_DIR.mkdir(parents=True, exist_ok=True) + (_FIXTURE_DIR / "search_response.json").write_text(json.dumps(jd), encoding="utf-8") + return _check("dumped fixture", True, f"-> {_FIXTURE_DIR / 'search_response.json'}") + + +async def main() -> int: + results = [ + await step1_place(), + await step2_place_id(), + await step3_dump_fixture(), + await step4_reviews(), + await step5_pagination(), + await step6_inline_reviews(), + await step7_dump_reviews_fixture(), + await step8_search(), + await step9_dump_search_fixture(), + ] + _hr("SUMMARY") + print(f" {sum(results)}/{len(results)} steps passed") + return 0 if all(results) else 1 + + +if __name__ == "__main__": + raise SystemExit(asyncio.run(main())) diff --git a/surfsense_backend/scripts/e2e_google_search.py b/surfsense_backend/scripts/e2e_google_search.py new file mode 100644 index 000000000..9c3c02fcf --- /dev/null +++ b/surfsense_backend/scripts/e2e_google_search.py @@ -0,0 +1,206 @@ +"""Live end-to-end checks for the Google Search scraper (needs proxy + browser). + + .venv/Scripts/python.exe scripts/e2e_google_search.py + +Covers: a plain query, a site: filter, text ads, product ads, the +focusOnPaidAds retry (commercial = ads found; non-commercial = retries capped, +organic still returned), People-Also-Ask answer expansion, sitelinks, the AI +Overview, the mobile layout, filter=0, base64 icons, and Google AI Mode. + +Pass case names as args to run a subset, e.g.: + + .venv/Scripts/python.exe scripts/e2e_google_search.py paa +""" + +import asyncio +import logging +import sys +import time +from pathlib import Path + +from dotenv import load_dotenv + +if hasattr(sys.stdout, "reconfigure"): + sys.stdout.reconfigure(encoding="utf-8") + +_ROOT = Path(__file__).resolve().parent.parent +sys.path.insert(0, str(_ROOT)) +load_dotenv(_ROOT / ".env") + +logging.basicConfig(level=logging.WARNING) +logging.getLogger("app.proprietary.platforms.google_search.scraper").setLevel( + logging.INFO +) + +from app.proprietary.platforms.google_search import ( # noqa: E402 + GoogleSearchScrapeInput, + scrape_serps, +) +from app.proprietary.platforms.google_search.fetch import close_sessions # noqa: E402 + + +async def run_ai_mode(label: str, *, queries: str) -> None: + print(f"\n=== {label} ===") + t0 = time.perf_counter() + inp = GoogleSearchScrapeInput( + queries=queries, + countryCode="us", + languageCode="en", + aiModeSearch={"enableAiMode": True}, + ) + items = await scrape_serps(inp, limit=2) + ai_items = [i for i in items if i["aiModeResult"]] + assert ai_items, f"{label}: no aiModeResult item emitted" + res = ai_items[0]["aiModeResult"] + print( + f" text={len(res['text'])} chars, sources={len(res['sources'])} " + f"({time.perf_counter() - t0:.0f}s)" + ) + print(f" {res['text'][:130]!r}") + for s in res["sources"][:3]: + print(f" src: {(s['title'] or '')[:60]!r}") + assert res["text"] and len(res["text"]) > 100, f"{label}: answer too short" + assert res["sources"], f"{label}: no cited sources" + assert "udm=50" in ai_items[0]["searchQuery"]["url"] + + +async def run( + label: str, + *, + expect_ads=False, + expect_products=False, + expect_paa_answers=False, + expect_sitelinks=False, + expect_aio=False, + expect_device=None, + expect_icons=False, + **kwargs, +) -> None: + print(f"\n=== {label} ===") + t0 = time.perf_counter() + inp = GoogleSearchScrapeInput(countryCode="us", languageCode="en", **kwargs) + items = await scrape_serps(inp, limit=1) + assert items, f"{label}: no SERP item" + it = items[0] + paa_answered = [p for p in it["peopleAlsoAsk"] if p["answer"]] + sitelinked = [o for o in it["organicResults"] if o["siteLinks"]] + print(f" term={it['searchQuery']['term']!r} resultsTotal={it['resultsTotal']}") + print( + f" organic={len(it['organicResults'])} paidResults={len(it['paidResults'])} " + f"paidProducts={len(it['paidProducts'])} related={len(it['relatedQueries'])} " + f"suggested={len(it['suggestedResults'])} " + f"paa={len(it['peopleAlsoAsk'])} (answered={len(paa_answered)}) " + f"({time.perf_counter() - t0:.0f}s)" + ) + for o in sitelinked[:2]: + print( + f" [sitelinks on #{o['position']}] " + + ", ".join(s["title"] for s in o["siteLinks"][:5]) + ) + aio = it["aiOverview"] + if aio: + print( + f" [aiOverview] content={len(aio['content'])} chars, " + f"sources={len(aio['sources'])}" + ) + print(f" {aio['content'][:110]!r}") + for s in aio["sources"][:3]: + print(f" src: {(s['title'] or '')[:55]!r}") + for a in it["paidResults"][:3]: + print(f" [ad {a['adPosition']}] {a['title'][:44]!r} {(a['url'] or '')[:45]}") + for p in it["paidProducts"][:3]: + print(f" [pla] {p['title'][:40]!r} {p['prices']} {p['displayedUrl']}") + for p in paa_answered[:3]: + print(f" [paa] {p['question'][:48]!r}") + print(f" A: {p['answer'][:90]!r}") + print(f" src: {p['url'] or '-'} | {(p['title'] or '-')[:45]}") + assert it["organicResults"], f"{label}: no organic results" + if expect_ads: + assert it["paidResults"], f"{label}: expected text ads, got none" + if expect_products: + assert it["paidProducts"], f"{label}: expected product ads, got none" + if expect_paa_answers: + assert paa_answered, f"{label}: expected PAA answers, got none" + if expect_sitelinks: + assert sitelinked, f"{label}: expected sitelinks, got none" + assert it["suggestedResults"], f"{label}: expected suggestedResults" + if expect_aio: + assert aio and aio["content"], f"{label}: expected an AI Overview" + assert aio["sources"], f"{label}: expected AI Overview sources" + if expect_device: + assert it["searchQuery"]["device"] == expect_device, ( + f"{label}: device={it['searchQuery']['device']}" + ) + if expect_icons: + iconed = [ + o + for o in it["organicResults"] + if (o["icon"] or "").startswith("data:image") + ] + print( + f" [icons] {len(iconed)}/{len(it['organicResults'])} organic " + f"carry a base64 favicon" + ) + assert iconed, f"{label}: expected base64 icons on organic results" + + +_CASES = { + "plain": lambda: run("plain query", queries="python asyncio tutorial"), + "site": lambda: run("site: filter", queries="machine learning", site="arxiv.org"), + "ads": lambda: run("text ads", queries="car insurance quotes", expect_ads=True), + "products": lambda: run( + "product ads", queries="buy running shoes", expect_products=True + ), + "focus": lambda: run( + "focusOnPaidAds (commercial)", + queries="car insurance quotes", + focusOnPaidAds=True, + expect_ads=True, + ), + "focus-neg": lambda: run( + "focusOnPaidAds (non-commercial, retries capped)", + queries="python asyncio tutorial", + focusOnPaidAds=True, + ), + "paa": lambda: run( + "people also ask", queries="what is seo", expect_paa_answers=True + ), + "sitelinks": lambda: run( + "sitelinks + suggested (brand query)", queries="amazon", expect_sitelinks=True + ), + "aio": lambda: run("AI Overview", queries="benefits of green tea", expect_aio=True), + "mobile": lambda: run( + "mobile layout (mobileResults)", + queries="best seo tools", + mobileResults=True, + expect_device="MOBILE", + ), + "unfiltered": lambda: run( + "includeUnfilteredResults (filter=0)", + queries="python asyncio tutorial", + includeUnfilteredResults=True, + ), + "icons": lambda: run( + "includeIcons (base64 favicons)", + queries="github", + includeIcons=True, + expect_icons=True, + ), + "aimode": lambda: run_ai_mode( + "Google AI Mode (udm=50)", queries="what is quantum computing" + ), +} + + +async def main() -> None: + names = sys.argv[1:] or list(_CASES) + try: + for name in names: + await _CASES[name]() + finally: + await close_sessions() + print("\nALL E2E OK") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/surfsense_backend/scripts/e2e_phase3_crawl_billing.py b/surfsense_backend/scripts/e2e_phase3_crawl_billing.py new file mode 100644 index 000000000..c60cd0927 --- /dev/null +++ b/surfsense_backend/scripts/e2e_phase3_crawl_billing.py @@ -0,0 +1,140 @@ +"""Manual functional e2e for Phase 3 crawler core (3a / 3b). + +Run from the backend directory: + cd surfsense_backend + uv run python scripts/e2e_phase3_crawl_billing.py + # or: .\\.venv\\Scripts\\python.exe scripts/e2e_phase3_crawl_billing.py + +What it exercises (everything REAL — live network, live proxy, live DB reads): + + Stage 1 (3a + 3b) — direct fetch + proxy egress-IP proof + crawl_url ladder. + +Crawl billing now lives entirely in the ``web.crawl`` capability (charged +directly on the wallet via ``charge_capability``); there is no longer a +chat-turn "fold" surface to exercise here. + +This is NOT a pytest test (it needs a live stack + proxy creds + network). It +is the manual functional counterpart to the unit suites; the undetectability / +anti-bot scorecard is a separate deliverable (03f), after 03d/03e. +""" + +import asyncio +import sys +from pathlib import Path +from urllib.parse import urlsplit + +from dotenv import load_dotenv + +# --- bootstrap: load .env and put the backend root on sys.path before app.* --- +_BACKEND_ROOT = Path(__file__).resolve().parent.parent +sys.path.insert(0, str(_BACKEND_ROOT)) +for _candidate in (_BACKEND_ROOT / ".env", _BACKEND_ROOT.parent / ".env"): + if _candidate.exists(): + load_dotenv(_candidate) + break + + +# Content-rich, generally crawl-friendly targets (real extraction expected). +_ARTICLE_URLS = [ + "https://en.wikipedia.org/wiki/Competitive_intelligence", + "https://en.wikipedia.org/wiki/Market_research", +] +_IP_ECHO = "https://api.ipify.org?format=json" + + +def _mask(url: str | None) -> str: + if not url: + return "" + p = urlsplit(url) + host = p.hostname or "?" + port = f":{p.port}" if p.port else "" + creds = "***@" if p.username else "" + return f"{p.scheme}://{creds}{host}{port}" + + +def _hr(title: str) -> None: + print(f"\n{'=' * 70}\n{title}\n{'=' * 70}") + + +def _check(label: str, ok: bool, detail: str = "") -> bool: + print(f" [{'PASS' if ok else 'FAIL'}] {label}{f' — {detail}' if detail else ''}") + return ok + + +# =========================================================================== +# Stage 1 — crawl core (3a) + proxy routing (3b) +# =========================================================================== +async def stage1_crawl_and_proxy() -> bool: + _hr("STAGE 1 — crawl_url ladder (3a) + proxy egress (3b)") + from scrapling.fetchers import AsyncFetcher + + from app.proprietary.web_crawler import CrawlOutcomeStatus, WebCrawlerConnector + from app.utils.proxy import get_active_provider, get_proxy_url, is_pool_backed + + ok = True + provider = get_active_provider() + proxy_url = get_proxy_url() + print(f" active proxy provider : {provider.name}") + print(f" proxy url : {_mask(proxy_url)}") + print(f" pool-backed (rotates) : {is_pool_backed()}") + + # Proxy egress-IP proof: direct IP vs proxied IP should differ. + direct_ip = proxied_ip = None + try: + direct = await AsyncFetcher.get(_IP_ECHO, impersonate="chrome", timeout=30) + direct_ip = direct.json().get("ip") + except Exception as exc: + print(f" [INFO] direct IP fetch failed: {exc}") + if proxy_url: + try: + via = await AsyncFetcher.get( + _IP_ECHO, impersonate="chrome", proxy=proxy_url, timeout=45 + ) + proxied_ip = via.json().get("ip") + except Exception as exc: + print(f" [INFO] proxied IP fetch failed: {exc}") + print(f" egress IP (direct) : {direct_ip}") + print(f" egress IP (via proxy) : {proxied_ip}") + if proxy_url: + ok &= _check( + "proxy changes egress IP", + bool(proxied_ip) and proxied_ip != direct_ip, + f"{direct_ip} -> {proxied_ip}", + ) + else: + print(" [INFO] no proxy configured — skipping egress-IP assertion") + + # crawl_url end-to-end on a content-rich page. + crawler = WebCrawlerConnector() + outcome = await crawler.crawl_url(_ARTICLE_URLS[0]) + content = (outcome.result or {}).get("content", "") if outcome.result else "" + tier = (outcome.result or {}).get("crawler_type", "?") if outcome.result else "?" + ok &= _check( + "crawl_url returns SUCCESS with content", + outcome.status is CrawlOutcomeStatus.SUCCESS and len(content) > 200, + f"status={outcome.status.value} tier={tier} chars={len(content)}", + ) + return ok + + +async def main() -> int: + print("Phase 3 functional e2e (3a/3b) — live network + proxy, DB rolled back") + results: dict[str, bool] = {} + for name, coro in (("Stage 1 crawl+proxy", stage1_crawl_and_proxy),): + try: + results[name] = await coro() + except Exception as exc: + import traceback + + traceback.print_exc() + print(f" [ERROR] {name} raised: {exc}") + results[name] = False + + _hr("SUMMARY") + for name, ok in results.items(): + print(f" {'PASS' if ok else 'FAIL/SKIP'} — {name}") + return 0 if all(results.values()) else 1 + + +if __name__ == "__main__": + raise SystemExit(asyncio.run(main())) diff --git a/surfsense_backend/scripts/e2e_reddit_scraper.py b/surfsense_backend/scripts/e2e_reddit_scraper.py new file mode 100644 index 000000000..7bedc0812 --- /dev/null +++ b/surfsense_backend/scripts/e2e_reddit_scraper.py @@ -0,0 +1,211 @@ +"""Manual functional e2e for the Reddit scraper (app/proprietary/platforms/reddit). + +Run from the backend directory: + cd surfsense_backend + uv run python scripts/e2e_reddit_scraper.py + # or: .venv/bin/python scripts/e2e_reddit_scraper.py + +This is NOT a pytest test (it needs live network + a residential/custom proxy). +It: + + Step 0 — go/no-go probe (folds in the old scripts/reddit_probe.py): open a + proxy session, warm a ``loid`` (svc/shreddit first, old.reddit fallback), + then do sequential ``.json`` fetches on the SAME sticky IP and assert each + returns a Reddit Listing. If this fails the whole approach is invalid — + later steps are skipped. + Step 1 — scrape a discovered post URL (post + a few comments). + Step 2 — scrape a subreddit listing. + Step 3 — run a search query. + Step 4 — scrape a user profile. + Step 5 — dump trimmed raw ``.json`` fixtures into + tests/unit/platforms/reddit/fixtures/ for the offline parser tests. +""" + +import asyncio +import json +import sys +from pathlib import Path + +from dotenv import load_dotenv + +# --- bootstrap: load .env and put the backend root on sys.path before app.* --- +_BACKEND_ROOT = Path(__file__).resolve().parent.parent +sys.path.insert(0, str(_BACKEND_ROOT)) +for _candidate in (_BACKEND_ROOT / ".env", _BACKEND_ROOT.parent / ".env"): + if _candidate.exists(): + load_dotenv(_candidate) + break + +from app.proprietary.platforms.reddit import ( # noqa: E402 + RedditScrapeInput, + scrape_reddit, +) +from app.proprietary.platforms.reddit.fetch import ( # noqa: E402 + fetch_json, + proxy_session, + warm_session, +) +from app.proprietary.platforms.reddit.parsers import children # noqa: E402 + +_SUBREDDIT = "python" +_SEARCH_TERM = "async web scraping" +_USER = "spez" + +_FIXTURE_DIR = _BACKEND_ROOT / "tests" / "unit" / "platforms" / "reddit" / "fixtures" + + +def _hr(title: str) -> None: + print(f"\n{'=' * 70}\n{title}\n{'=' * 70}") + + +def _check(label: str, ok: bool, detail: str = "") -> bool: + print(f" [{'PASS' if ok else 'FAIL'}] {label}{f' — {detail}' if detail else ''}") + return ok + + +def _listing_count(data) -> int | None: + """Child count if ``data`` looks like a Reddit Listing (or post+comments).""" + try: + if isinstance(data, dict) and data.get("kind") == "Listing": + return len(data["data"]["children"]) + if isinstance(data, list): + return sum( + len(x["data"]["children"]) + for x in data + if isinstance(x, dict) and x.get("kind") == "Listing" + ) + except Exception: + return None + return None + + +async def _first_post_permalink() -> str | None: + """Discover a live post URL from the subreddit's hot listing.""" + listing = await fetch_json(f"r/{_SUBREDDIT}/hot", {"limit": 5}) + kids = children(listing) + if not kids: + return None + permalink = (kids[0].get("data") or {}).get("permalink") + return f"https://www.reddit.com{permalink}" if permalink else None + + +async def step0_probe() -> bool: + _hr("STEP 0 — go/no-go: loid warm-up + sticky .json") + async with proxy_session() as holder: + if holder.session is None: + return _check( + "proxy configured", False, "no proxy -> set PROXY_PROVIDER + creds" + ) + minted = await warm_session(holder.session) + holder.warmed = True # don't let fetch_json re-warm; we just warmed it + _check("loid warm-up minted a session", minted) + oks: list[bool] = [] + for path in (f"r/{_SUBREDDIT}/hot", "r/programming/new", f"r/{_SUBREDDIT}/hot"): + data = await fetch_json(path, {"limit": 5}) + n = _listing_count(data) + print(f" {path} -> listing_count={n}") + oks.append(n is not None and n > 0) + await asyncio.sleep(1.0) + return _check("sequential .json on sticky IP", minted and all(oks)) + + +async def step1_post() -> bool: + _hr("STEP 1 — scrape a discovered post (post + comments)") + url = await _first_post_permalink() + if not url: + return _check("discovered a post URL", False) + items = await scrape_reddit( + RedditScrapeInput(startUrls=[{"url": url}], maxComments=5) + ) + posts = [i for i in items if i.get("dataType") == "post"] + comments = [i for i in items if i.get("dataType") == "comment"] + print(f" posts={len(posts)} comments={len(comments)} url={url}") + return _check("post scraped", bool(posts) and bool(posts[0].get("id"))) + + +async def step2_subreddit() -> bool: + _hr("STEP 2 — scrape a subreddit listing") + items = await scrape_reddit( + RedditScrapeInput( + startUrls=[{"url": f"https://www.reddit.com/r/{_SUBREDDIT}/hot"}], + maxPostCount=5, + skipComments=True, + ) + ) + posts = [i for i in items if i.get("dataType") == "post"] + for it in posts[:5]: + print(f" - {it.get('id')} | {it.get('title')}") + return _check("subreddit returned posts", len(posts) > 0, f"{len(posts)} posts") + + +async def step3_search() -> bool: + _hr("STEP 3 — search query") + items = await scrape_reddit( + RedditScrapeInput(searches=[_SEARCH_TERM], sort="relevance", maxItems=5) + ) + for it in items[:5]: + print(f" - {it.get('id')} | {it.get('title')}") + return _check("search returned results", len(items) > 0, f"{len(items)} items") + + +async def step4_user() -> bool: + _hr("STEP 4 — user profile") + items = await scrape_reddit( + RedditScrapeInput( + startUrls=[{"url": f"https://www.reddit.com/user/{_USER}"}], maxItems=5 + ) + ) + print(f" {len(items)} items for u/{_USER}") + return _check("user returned items", len(items) > 0, f"{len(items)} items") + + +async def step5_dump_fixtures() -> bool: + _hr("STEP 5 — dump trimmed .json fixtures for offline tests") + listing = await fetch_json(f"r/{_SUBREDDIT}/hot", {"limit": 25}) + url = await _first_post_permalink() + post = None + if url: + path = url.split("reddit.com/")[-1].strip("/") + post = await fetch_json(path, {"limit": 20}) + + _FIXTURE_DIR.mkdir(parents=True, exist_ok=True) + wrote = [] + if _listing_count(listing): + (_FIXTURE_DIR / "sample_listing.json").write_text( + json.dumps(listing), encoding="utf-8" + ) + wrote.append("sample_listing.json") + if isinstance(post, list) and post: + (_FIXTURE_DIR / "sample_post.json").write_text( + json.dumps(post), encoding="utf-8" + ) + wrote.append("sample_post.json") + # A single comment thing, for the comment-mapping fixture. + comment_kids = children(post[1]) if len(post) > 1 else [] + first_comment = next((c for c in comment_kids if c.get("kind") == "t1"), None) + if first_comment: + (_FIXTURE_DIR / "sample_comment.json").write_text( + json.dumps(first_comment), encoding="utf-8" + ) + wrote.append("sample_comment.json") + return _check("dumped fixtures", bool(wrote), f"{wrote} -> {_FIXTURE_DIR}") + + +async def main() -> int: + results = [await step0_probe()] + if not results[-1]: + print("\nloid probe failed — the approach is invalid on this IP/proxy.") + print("Aborting remaining steps.") + return 1 + results.append(await step1_post()) + results.append(await step2_subreddit()) + results.append(await step3_search()) + results.append(await step4_user()) + results.append(await step5_dump_fixtures()) + _hr("SUMMARY") + print(f" {sum(results)}/{len(results)} steps passed") + return 0 if all(results) else 1 + + +if __name__ == "__main__": + raise SystemExit(asyncio.run(main())) diff --git a/surfsense_backend/scripts/e2e_youtube_scraper.py b/surfsense_backend/scripts/e2e_youtube_scraper.py new file mode 100644 index 000000000..ce409e051 --- /dev/null +++ b/surfsense_backend/scripts/e2e_youtube_scraper.py @@ -0,0 +1,205 @@ +"""Manual functional e2e for the YouTube scraper (app/proprietary/platforms/youtube). + +Run from the backend directory: + cd surfsense_backend + uv run python scripts/e2e_youtube_scraper.py + # or: .\\.venv\\Scripts\\python.exe scripts/e2e_youtube_scraper.py + +This is NOT a pytest test (it needs live network + optional proxy creds). It: + + Step 0 — validates the keyless InnerTube ``search`` POST works; if it 400s the + scraper transparently retries with the public web key (proven here). + Step 1 — scrapes a known video URL (metadata + optional subtitles). + Step 2 — runs a search query and prints the first few results. + Step 3 — scrapes a small channel's latest videos. + Step 4 — dumps trimmed raw ytInitialData / ytInitialPlayerResponse fixtures to + tests/unit/platforms/youtube/fixtures/ for the offline parser test. +""" + +import asyncio +import json +import sys +from pathlib import Path + +from dotenv import load_dotenv + +# --- bootstrap: load .env and put the backend root on sys.path before app.* --- +_BACKEND_ROOT = Path(__file__).resolve().parent.parent +sys.path.insert(0, str(_BACKEND_ROOT)) +for _candidate in (_BACKEND_ROOT / ".env", _BACKEND_ROOT.parent / ".env"): + if _candidate.exists(): + load_dotenv(_candidate) + break + +from app.proprietary.platforms.youtube import ( # noqa: E402 + YouTubeCommentsInput, + YouTubeScrapeInput, + scrape_comments, + scrape_youtube, +) +from app.proprietary.platforms.youtube.innertube import ( # noqa: E402 + INNERTUBE_PUBLIC_API_KEY, + INNERTUBE_SEARCH_URL, + build_innertube_payload, + fetch_html, + post_innertube, +) +from app.proprietary.platforms.youtube.parsers import ( # noqa: E402 + extract_yt_initial_data, + extract_yt_initial_player_response, +) + +_VIDEO_URL = "https://www.youtube.com/watch?v=dQw4w9WgXcQ" +_SEARCH_TERM = "web scraping tutorials" +_CHANNEL_URL = "https://www.youtube.com/@YouTube" +# A geo-tagged walking tour + a multi-owner collaboration video (long-tail fields). +_LOCATION_VIDEO_URL = "https://www.youtube.com/watch?v=bhJU_fVHMmY" +_COLLAB_VIDEO_URL = "https://www.youtube.com/watch?v=AI2BwwLX_7s" +# MrBeast localizes titles/descriptions into many languages (translation flow). +_TRANSLATED_VIDEO_URL = "https://www.youtube.com/watch?v=iYlODtkyw_I" + +_FIXTURE_DIR = _BACKEND_ROOT / "tests" / "unit" / "platforms" / "youtube" / "fixtures" + + +def _hr(title: str) -> None: + print(f"\n{'=' * 70}\n{title}\n{'=' * 70}") + + +def _check(label: str, ok: bool, detail: str = "") -> bool: + print(f" [{'PASS' if ok else 'FAIL'}] {label}{f' — {detail}' if detail else ''}") + return ok + + +async def step0_validate_innertube() -> bool: + _hr("STEP 0 — InnerTube search POST (keyless, then public-key fallback)") + payload = build_innertube_payload(search_query=_SEARCH_TERM) + keyless = await post_innertube(INNERTUBE_SEARCH_URL, payload) + if keyless is not None: + return _check("keyless search POST", True, "keyless works") + keyed = await post_innertube( + INNERTUBE_SEARCH_URL, payload, api_key=INNERTUBE_PUBLIC_API_KEY + ) + return _check("public-key search POST", keyed is not None, "keyless 400 -> key") + + +async def step1_video() -> bool: + _hr("STEP 1 — scrape a known video") + inp = YouTubeScrapeInput(startUrls=[{"url": _VIDEO_URL}], downloadSubtitles=True) + items = await scrape_youtube(inp) + print(json.dumps(items[:1], indent=2)[:2000]) + ok = bool(items) and items[0].get("id") == "dQw4w9WgXcQ" + return _check("video scraped with id + title", ok and bool(items[0].get("title"))) + + +async def step2_search() -> bool: + _hr("STEP 2 — search query") + inp = YouTubeScrapeInput(searchQueries=[_SEARCH_TERM], maxResults=5) + items = await scrape_youtube(inp) + for it in items[:5]: + print(f" - {it.get('id')} | {it.get('title')}") + return _check("search returned results", len(items) > 0, f"{len(items)} items") + + +async def step3_channel() -> bool: + _hr("STEP 3 — channel latest videos") + inp = YouTubeScrapeInput(startUrls=[{"url": _CHANNEL_URL}], maxResults=3) + items = await scrape_youtube(inp) + for it in items[:3]: + print(f" - {it.get('id')} | {it.get('title')}") + return _check("channel returned videos", len(items) > 0, f"{len(items)} items") + + +async def step4_dump_fixtures() -> bool: + _hr("STEP 4 — dump raw fixtures for offline test") + html = await fetch_html(_VIDEO_URL) + if not html: + return _check("fetched video HTML", False) + initial = extract_yt_initial_data(html) + player = extract_yt_initial_player_response(html) + _FIXTURE_DIR.mkdir(parents=True, exist_ok=True) + if player: + (_FIXTURE_DIR / "video_player_response.json").write_text( + json.dumps(player), encoding="utf-8" + ) + if initial: + (_FIXTURE_DIR / "video_initial_data.json").write_text( + json.dumps(initial), encoding="utf-8" + ) + return _check("dumped fixtures", bool(player), f"-> {_FIXTURE_DIR}") + + +async def step5_comments() -> bool: + _hr("STEP 5 — comments (+ replies) for a video") + inp = YouTubeCommentsInput( + startUrls=[{"url": _VIDEO_URL}], maxComments=6, sortCommentsBy="NEWEST_FIRST" + ) + items = await scrape_comments(inp) + for it in items[:6]: + print( + f" - [{it.get('type')}] {it.get('author')} | {it.get('voteCount')} votes" + ) + ok = bool(items) and all(it.get("cid") and it.get("videoId") for it in items) + has_reply = any(it.get("type") == "reply" and it.get("replyToCid") for it in items) + return _check( + "comments scraped (cid+videoId, reply linkage)", + ok and has_reply, + f"{len(items)} items", + ) + + +async def step6_location_collaborators() -> bool: + _hr("STEP 6 — long-tail fields: location + collaborators") + loc_items = await scrape_youtube( + YouTubeScrapeInput(startUrls=[{"url": _LOCATION_VIDEO_URL}]) + ) + location = loc_items[0].get("location") if loc_items else None + print(f" location: {location!r}") + collab_items = await scrape_youtube( + YouTubeScrapeInput(startUrls=[{"url": _COLLAB_VIDEO_URL}]) + ) + collaborators = collab_items[0].get("collaborators") if collab_items else None + print(f" collaborators: {collaborators}") + return _check( + "location + collaborators populated", + bool(location) and bool(collaborators) and len(collaborators) >= 2, + ) + + +async def step7_translation() -> bool: + _hr("STEP 7 — translatedTitle/translatedText (subtitlesLanguage=es)") + items = await scrape_youtube( + YouTubeScrapeInput( + startUrls=[{"url": _TRANSLATED_VIDEO_URL}], subtitlesLanguage="es" + ) + ) + it = items[0] if items else {} + print(f" title : {it.get('title')}") + print(f" translatedTitle: {it.get('translatedTitle')}") + # A localized video's translated title differs from the canonical English one. + ok = bool(it.get("translatedTitle")) and it.get("translatedTitle") != it.get( + "title" + ) + return _check("translatedTitle differs from original", ok) + + +async def main() -> int: + results = [] + results.append(await step0_validate_innertube()) + if not results[-1]: + print("\nInnerTube unreachable — aborting remaining steps.") + return 1 + results.append(await step1_video()) + results.append(await step2_search()) + results.append(await step3_channel()) + results.append(await step4_dump_fixtures()) + results.append(await step5_comments()) + results.append(await step6_location_collaborators()) + results.append(await step7_translation()) + + _hr("SUMMARY") + print(f" {sum(results)}/{len(results)} steps passed") + return 0 if all(results) else 1 + + +if __name__ == "__main__": + raise SystemExit(asyncio.run(main())) diff --git a/surfsense_backend/tests/conftest.py b/surfsense_backend/tests/conftest.py index e227ed287..9e5264062 100644 --- a/surfsense_backend/tests/conftest.py +++ b/surfsense_backend/tests/conftest.py @@ -37,7 +37,7 @@ def sample_user_id() -> str: @pytest.fixture -def sample_search_space_id() -> int: +def sample_workspace_id() -> int: return 1 @@ -59,7 +59,7 @@ def make_connector_document(): "source_markdown": "## Heading\n\nSome content.", "unique_id": "test-id-001", "document_type": DocumentType.CLICKUP_CONNECTOR, - "search_space_id": 1, + "workspace_id": 1, "connector_id": 1, "created_by_id": "00000000-0000-0000-0000-000000000001", } diff --git a/surfsense_backend/tests/e2e/README.md b/surfsense_backend/tests/e2e/README.md index caa0f89b0..30a9bcd3d 100644 --- a/surfsense_backend/tests/e2e/README.md +++ b/surfsense_backend/tests/e2e/README.md @@ -72,7 +72,7 @@ pnpm exec playwright install --with-deps chromium ### Each run **1. Bring up Postgres + Redis** from the repo root (the other deps-only -services (SearXNG, Zero, pgAdmin) are not needed for E2E): +services (Zero, pgAdmin) are not needed for E2E): ```bash docker compose -f docker/docker-compose.deps-only.yml up -d db redis diff --git a/surfsense_backend/tests/e2e/fakes/chat_llm.py b/surfsense_backend/tests/e2e/fakes/chat_llm.py index 234a18ec1..6c8d2429e 100644 --- a/surfsense_backend/tests/e2e/fakes/chat_llm.py +++ b/surfsense_backend/tests/e2e/fakes/chat_llm.py @@ -142,6 +142,13 @@ class FakeChatLLM(BaseChatModel): and CLICKUP_CANARY_TOKEN in latest_tool_text ): return f"ClickUp live tool content found: {CLICKUP_CANARY_TOKEN}" + if latest_tool_name == "search" and NOTION_CANARY_TOKEN in latest_tool_text: + return f"Notion live tool content found: {NOTION_CANARY_TOKEN}" + if ( + latest_tool_name == "searchConfluenceUsingCql" + and CONFLUENCE_CANARY_TOKEN in latest_tool_text + ): + return f"Confluence live tool content found: {CONFLUENCE_CANARY_TOKEN}" wants_gmail = _contains_any( latest_human, @@ -555,8 +562,8 @@ class FakeChatLLM(BaseChatModel): # Marker unique to a connector subagent's prompt: the main agent must # delegate via ``task``; only the subagent has connector tools registered. - in_connector_subagent = ( - "specialist for the user's connected" in _messages_to_text(messages) + in_connector_subagent = "connected-apps specialist" in _messages_to_text( + messages ) # Main agent: delegate live-tool connector work to its subagent (which @@ -579,8 +586,12 @@ class FakeChatLLM(BaseChatModel): ("linear", ("linear", "issue", LINEAR_CANARY_TITLE)), ("slack", ("slack", SLACK_CANARY_TOKEN)), ("clickup", ("clickup", CLICKUP_CANARY_TITLE)), + ("notion", ("notion", NOTION_CANARY_TITLE)), + ("confluence", ("confluence", CONFLUENCE_CANARY_TITLE)), ) - for subagent_type, needles in connector_delegations: + # Every MCP-backed connector is now one ``mcp_discovery`` route; the + # needle set only decides which canary the delegation targets. + for connector_key, needles in connector_delegations: if _contains_any(latest_human, needles): return AIMessage( content="", @@ -588,10 +599,10 @@ class FakeChatLLM(BaseChatModel): { "name": "task", "args": { - "subagent_type": subagent_type, + "subagent_type": "mcp_discovery", "description": latest_human, }, - "id": f"call_e2e_task_{subagent_type}", + "id": f"call_e2e_task_{connector_key}", } ], ) @@ -718,6 +729,38 @@ class FakeChatLLM(BaseChatModel): ], ) + # Confluence check precedes Notion: the Confluence prompt also contains + # the word "page", so Notion's needle omits it to avoid cross-matching. + if latest_tool is None and _contains_any( + latest_human, + ("confluence", CONFLUENCE_CANARY_TITLE), + ): + return AIMessage( + content="", + tool_calls=[ + { + "name": "searchConfluenceUsingCql", + "args": {"cql": f'text ~ "{CONFLUENCE_CANARY_TITLE}"'}, + "id": "call_e2e_search_confluence", + } + ], + ) + + if latest_tool is None and _contains_any( + latest_human, + ("notion", NOTION_CANARY_TITLE), + ): + return AIMessage( + content="", + tool_calls=[ + { + "name": "search", + "args": {"query": NOTION_CANARY_TITLE}, + "id": "call_e2e_search_notion", + } + ], + ) + return None def _generate( diff --git a/surfsense_backend/tests/e2e/fakes/jira_module.py b/surfsense_backend/tests/e2e/fakes/jira_module.py index d67531218..c9c03e2f1 100644 --- a/surfsense_backend/tests/e2e/fakes/jira_module.py +++ b/surfsense_backend/tests/e2e/fakes/jira_module.py @@ -1,4 +1,13 @@ -"""Strict Jira MCP OAuth/tool fakes for Playwright E2E.""" +"""Strict Atlassian (Jira + Confluence) MCP OAuth/tool fakes for Playwright E2E. + +Jira and Confluence share one hosted Atlassian Rovo MCP server +(``https://mcp.atlassian.com/v1/mcp``) and one OAuth surface. Because the MCP +OAuth/runtime dispatchers are keyed by URL, a single handler here serves both +connectors; production keeps their tool sets disjoint via each service's +``allowed_tools`` curation. The OAuth ``redirect_uri`` substring is therefore +relaxed to the shared ``/api/v1/auth/mcp/`` prefix so both the +``.../mcp/jira/...`` and ``.../mcp/confluence/...`` callbacks validate. +""" from __future__ import annotations @@ -22,6 +31,13 @@ _ACCESS_TOKEN = "fake-jira-mcp-access-token" _REFRESH_TOKEN = "fake-jira-mcp-refresh-token" _OAUTH_CODE = "fake-jira-oauth-code" +# Confluence canary — keep in sync with FAKE_CONFLUENCE_PAGES / +# CANARY_TOKENS.confluenceCanary in surfsense_web/tests/helpers/canary.ts. +_CONFLUENCE_TOKEN = "SURFSENSE_E2E_CANARY_TOKEN_CONFLUENCE_001" +_CONFLUENCE_PAGE_ID = "fake-confluence-page-canary-001" +_CONFLUENCE_TITLE = "E2E Canary Confluence Page" +_CONFLUENCE_SPACE_ID = "fake-confluence-space-001" + def _load_fixture() -> dict[str, Any]: with _FIXTURE_PATH.open() as f: @@ -69,6 +85,34 @@ async def _list_tools() -> SimpleNamespace: "required": ["jql"], }, ), + SimpleNamespace( + name="searchConfluenceUsingCql", + description="Search Confluence content using a CQL expression.", + inputSchema={ + "type": "object", + "properties": { + "cql": { + "type": "string", + "description": "CQL query used to search Confluence content.", + } + }, + "required": ["cql"], + }, + ), + SimpleNamespace( + name="getConfluencePage", + description="Fetch a Confluence page's body by id.", + inputSchema={ + "type": "object", + "properties": { + "pageId": { + "type": "string", + "description": "The Confluence page id to fetch.", + } + }, + "required": ["pageId"], + }, + ), ] ) @@ -98,11 +142,30 @@ async def _call_tool( text = _issue_text(issue) return SimpleNamespace(content=[SimpleNamespace(text=text)]) - raise NotImplementedError(f"Unexpected Jira MCP tool call: {tool_name!r}") + if tool_name == "searchConfluenceUsingCql": + cql = str(arguments.get("cql", "")) + if _CONFLUENCE_TITLE.lower() not in cql.lower(): + raise ValueError(f"Unexpected Confluence CQL query: {cql!r}") + text = ( + f"{_CONFLUENCE_TITLE}\n" + f"id: {_CONFLUENCE_PAGE_ID}\n" + f"space: {_CONFLUENCE_SPACE_ID}\n" + f"excerpt: {_CONFLUENCE_TOKEN}" + ) + return SimpleNamespace(content=[SimpleNamespace(text=text)]) + + if tool_name == "getConfluencePage": + page_id = str(arguments.get("pageId", "")) + if page_id != _CONFLUENCE_PAGE_ID: + raise ValueError(f"Unexpected Confluence page id: {page_id!r}") + text = f"{_CONFLUENCE_TITLE}\n\n{_CONFLUENCE_TOKEN}" + return SimpleNamespace(content=[SimpleNamespace(text=text)]) + + raise NotImplementedError(f"Unexpected Atlassian MCP tool call: {tool_name!r}") def install(active_patches: list[Any]) -> None: - """Register Jira MCP OAuth/tool handlers with the shared dispatchers.""" + """Register the shared Atlassian (Jira + Confluence) MCP handlers.""" del active_patches mcp_oauth_runtime.register_service( mcp_url=_MCP_URL, @@ -122,8 +185,10 @@ def install(active_patches: list[Any]) -> None: oauth_code=_OAUTH_CODE, access_token=_ACCESS_TOKEN, refresh_token=_REFRESH_TOKEN, - scope="read:jira-work read:me write:jira-work", - redirect_uri_substring="/api/v1/auth/mcp/jira/connector/callback", + scope="read:jira-work read:confluence-content.all read:me write:jira-work", + # Shared Atlassian server serves both Jira and Confluence connectors, so + # accept either service's callback under the common MCP OAuth prefix. + redirect_uri_substring="/api/v1/auth/mcp/", ) mcp_runtime.register( url=_MCP_URL, diff --git a/surfsense_backend/tests/e2e/fakes/native_google.py b/surfsense_backend/tests/e2e/fakes/native_google.py index 1afcaf9c3..cdbc17828 100644 --- a/surfsense_backend/tests/e2e/fakes/native_google.py +++ b/surfsense_backend/tests/e2e/fakes/native_google.py @@ -430,15 +430,15 @@ def install(active_patches: list[Any]) -> None: ("app.connectors.google_gmail_connector.build", _fake_build), ("app.connectors.google_calendar_connector.build", _fake_build), ( - "app.agents.chat.multi_agent_chat.subagents.connectors.calendar.tools.create_event.build", + "app.agents.chat.multi_agent_chat.subagents.builtins.mcp_discovery.tools.calendar.create_event.build", _fake_build, ), ( - "app.agents.chat.multi_agent_chat.subagents.connectors.calendar.tools.update_event.build", + "app.agents.chat.multi_agent_chat.subagents.builtins.mcp_discovery.tools.calendar.update_event.build", _fake_build, ), ( - "app.agents.chat.multi_agent_chat.subagents.connectors.calendar.tools.delete_event.build", + "app.agents.chat.multi_agent_chat.subagents.builtins.mcp_discovery.tools.calendar.delete_event.build", _fake_build, ), ("googleapiclient.http.MediaIoBaseDownload", _FakeMediaIoBaseDownload), diff --git a/surfsense_backend/tests/e2e/fakes/notion_mcp_module.py b/surfsense_backend/tests/e2e/fakes/notion_mcp_module.py new file mode 100644 index 000000000..64d615c5c --- /dev/null +++ b/surfsense_backend/tests/e2e/fakes/notion_mcp_module.py @@ -0,0 +1,127 @@ +"""Strict Notion MCP OAuth/tool fakes for Playwright E2E. + +Notion migrated from indexed OAuth to the hosted Notion MCP server +(``https://mcp.notion.com/mcp``, DCR/RFC 7591). This fake mirrors +``jira_module`` for the generic MCP OAuth + streamable-HTTP tool boundaries; +the older ``notion_module`` (a ``notion_client`` SDK stand-in) stays only to +satisfy production's import-time ``import notion_client``. +""" + +from __future__ import annotations + +from types import SimpleNamespace +from typing import Any + +from tests.e2e.fakes import mcp_oauth_runtime, mcp_runtime + +_AUTHORIZATION_URL = "https://mcp.notion.com/authorize" +_REGISTRATION_URL = "https://mcp.notion.com/register" +_TOKEN_URL = "https://mcp.notion.com/token" +_MCP_URL = "https://mcp.notion.com/mcp" + +_CLIENT_ID = "fake-notion-mcp-client-id" +_CLIENT_SECRET = "fake-notion-mcp-client-secret" +_ACCESS_TOKEN = "fake-notion-mcp-access-token" +_REFRESH_TOKEN = "fake-notion-mcp-refresh-token" +_OAUTH_CODE = "fake-notion-oauth-code" + +# Keep in sync with FAKE_NOTION_PAGES / CANARY_TOKENS.notionCanary in +# surfsense_web/tests/helpers/canary.ts. +_CANARY_TOKEN = "SURFSENSE_E2E_CANARY_TOKEN_NOTION_001" +_CANARY_PAGE_ID = "fake-notion-page-canary-001" +_CANARY_TITLE = "E2E Canary Notion Page" +_WORKSPACE_NAME = "SurfSense E2E Notion Workspace" + + +async def _list_tools() -> SimpleNamespace: + return SimpleNamespace( + tools=[ + SimpleNamespace( + name="search", + description="Search the connected Notion workspace for pages and databases.", + inputSchema={ + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "Text to search Notion pages for.", + } + }, + "required": ["query"], + }, + ), + SimpleNamespace( + name="fetch", + description="Fetch the full contents of a Notion page by id.", + inputSchema={ + "type": "object", + "properties": { + "id": { + "type": "string", + "description": "The Notion page id to fetch.", + } + }, + "required": ["id"], + }, + ), + ] + ) + + +async def _call_tool( + tool_name: str, arguments: dict[str, Any] | None = None +) -> SimpleNamespace: + arguments = arguments or {} + + if tool_name == "search": + query = str(arguments.get("query", "")) + if _CANARY_TITLE.lower() not in query.lower(): + raise ValueError(f"Unexpected Notion search query: {query!r}") + text = ( + f"{_CANARY_TITLE}\n" + f"id: {_CANARY_PAGE_ID}\n" + f"workspace: {_WORKSPACE_NAME}\n" + f"snippet: {_CANARY_TOKEN}" + ) + return SimpleNamespace(content=[SimpleNamespace(text=text)]) + + if tool_name == "fetch": + page_id = str(arguments.get("id", "")) + if page_id != _CANARY_PAGE_ID: + raise ValueError(f"Unexpected Notion fetch id: {page_id!r}") + text = f"{_CANARY_TITLE}\n\n{_CANARY_TOKEN}" + return SimpleNamespace(content=[SimpleNamespace(text=text)]) + + raise NotImplementedError(f"Unexpected Notion MCP tool call: {tool_name!r}") + + +def install(active_patches: list[Any]) -> None: + """Register Notion MCP OAuth/tool handlers with the shared dispatchers.""" + del active_patches + mcp_oauth_runtime.register_service( + mcp_url=_MCP_URL, + discovery_metadata={ + "issuer": "https://mcp.notion.com", + "authorization_endpoint": _AUTHORIZATION_URL, + "token_endpoint": _TOKEN_URL, + "registration_endpoint": _REGISTRATION_URL, + "code_challenge_methods_supported": ["S256"], + "grant_types_supported": ["authorization_code", "refresh_token"], + "response_types_supported": ["code"], + }, + client_id=_CLIENT_ID, + client_secret=_CLIENT_SECRET, + token_endpoint=_TOKEN_URL, + registration_endpoint=_REGISTRATION_URL, + oauth_code=_OAUTH_CODE, + access_token=_ACCESS_TOKEN, + refresh_token=_REFRESH_TOKEN, + scope="read write", + redirect_uri_substring="/api/v1/auth/mcp/notion/connector/callback", + ) + mcp_runtime.register( + url=_MCP_URL, + expected_bearer=_ACCESS_TOKEN, + list_tools=_list_tools, + call_tool=_call_tool, + ) diff --git a/surfsense_backend/tests/e2e/run_backend.py b/surfsense_backend/tests/e2e/run_backend.py index 87977626f..c1f9aad42 100644 --- a/surfsense_backend/tests/e2e/run_backend.py +++ b/surfsense_backend/tests/e2e/run_backend.py @@ -282,6 +282,7 @@ def _install_runtime_fakes() -> None: mcp_oauth_runtime as _fake_mcp_oauth_runtime, mcp_runtime as _fake_mcp_runtime, native_google as _fake_native_google, + notion_mcp_module as _fake_notion_mcp_module, notion_module as _fake_notion_module, onedrive_graph as _fake_onedrive_graph, slack_module as _fake_slack_module, @@ -295,6 +296,7 @@ def _install_runtime_fakes() -> None: _fake_onedrive_graph.install(_active_patches) _fake_dropbox_api.install(_active_patches) _fake_notion_module.install(_active_patches) + _fake_notion_mcp_module.install(_active_patches) _fake_linear_module.install(_active_patches) _fake_jira_module.install(_active_patches) _fake_clickup_module.install(_active_patches) diff --git a/surfsense_backend/tests/integration/agents/multi_agent_chat/shared/retrieval/test_hybrid_search.py b/surfsense_backend/tests/integration/agents/multi_agent_chat/shared/retrieval/test_hybrid_search.py index f7ba86a67..0eb204a38 100644 --- a/surfsense_backend/tests/integration/agents/multi_agent_chat/shared/retrieval/test_hybrid_search.py +++ b/surfsense_backend/tests/integration/agents/multi_agent_chat/shared/retrieval/test_hybrid_search.py @@ -18,7 +18,7 @@ from app.agents.chat.multi_agent_chat.shared.retrieval.hybrid_search import ( ) from app.agents.chat.multi_agent_chat.shared.retrieval.models import SearchScope from app.config import config -from app.db import Chunk, Document, DocumentType, SearchSpace +from app.db import Chunk, Document, DocumentType, Workspace pytestmark = pytest.mark.integration @@ -35,7 +35,7 @@ def _axis(index: int) -> list[float]: async def _add_document( db_session, *, - search_space_id: int, + workspace_id: int, title: str = "Doc", document_type: DocumentType = DocumentType.FILE, state: str = "ready", @@ -47,7 +47,7 @@ async def _add_document( document_type=document_type, content="\n".join(content for content, _, _ in chunks), content_hash=uuid.uuid4().hex, - search_space_id=search_space_id, + workspace_id=workspace_id, status={"state": state}, ) db_session.add(document) @@ -65,17 +65,17 @@ async def _add_document( return document -async def test_keyword_relevant_document_is_retrieved(db_session, db_search_space): +async def test_keyword_relevant_document_is_retrieved(db_session, db_workspace): document = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Asyncio Guide", chunks=[("The asyncio library enables concurrency.", 0, _axis(0))], ) results = await search_chunks( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, query="asyncio", scope=SearchScope(), top_k=5, @@ -85,23 +85,23 @@ async def test_keyword_relevant_document_is_retrieved(db_session, db_search_spac assert document.id in {hit.document_id for hit in results} -async def test_semantically_closest_document_ranks_first(db_session, db_search_space): +async def test_semantically_closest_document_ranks_first(db_session, db_workspace): aligned = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Background Work", chunks=[("Parallel execution of background work.", 0, _axis(0))], ) await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Dessert", chunks=[("Recipes for chocolate cake.", 0, _axis(1))], ) results = await search_chunks( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, query="asynchronous coroutines", scope=SearchScope(), top_k=5, @@ -111,25 +111,25 @@ async def test_semantically_closest_document_ranks_first(db_session, db_search_s assert results[0].document_id == aligned.id -async def test_results_stay_within_the_search_space(db_session, db_search_space): - other_space = SearchSpace(name="Other Space", user_id=db_search_space.user_id) +async def test_results_stay_within_the_workspace(db_session, db_workspace): + other_space = Workspace(name="Other Space", user_id=db_workspace.user_id) db_session.add(other_space) await db_session.flush() mine = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, chunks=[("Shared keyword asyncio here.", 0, _axis(0))], ) foreign = await _add_document( db_session, - search_space_id=other_space.id, + workspace_id=other_space.id, chunks=[("Shared keyword asyncio here.", 0, _axis(0))], ) results = await search_chunks( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, query="asyncio", scope=SearchScope(), top_k=5, @@ -140,21 +140,21 @@ async def test_results_stay_within_the_search_space(db_session, db_search_space) assert mine.id in found and foreign.id not in found -async def test_document_ids_scope_pins_results(db_session, db_search_space): +async def test_document_ids_scope_pins_results(db_session, db_workspace): pinned = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, chunks=[("asyncio appears in the pinned doc.", 0, _axis(0))], ) await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, chunks=[("asyncio appears in the other doc too.", 0, _axis(0))], ) results = await search_chunks( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, query="asyncio", scope=SearchScope(document_ids=(pinned.id,)), top_k=5, @@ -164,22 +164,22 @@ async def test_document_ids_scope_pins_results(db_session, db_search_space): assert {hit.document_id for hit in results} == {pinned.id} -async def test_deleting_documents_are_excluded(db_session, db_search_space): +async def test_deleting_documents_are_excluded(db_session, db_workspace): ready = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, chunks=[("asyncio in a ready document.", 0, _axis(0))], ) deleting = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, state="deleting", chunks=[("asyncio in a deleting document.", 0, _axis(0))], ) results = await search_chunks( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, query="asyncio", scope=SearchScope(), top_k=5, @@ -190,12 +190,12 @@ async def test_deleting_documents_are_excluded(db_session, db_search_space): assert ready.id in found and deleting.id not in found -async def test_matched_chunks_are_ordered_for_reading(db_session, db_search_space): +async def test_matched_chunks_are_ordered_for_reading(db_session, db_workspace): # Insert out of order, and give the later-position chunk the stronger # semantic score, so reading order differs from both insertion and score. document = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, chunks=[ ("asyncio paragraph two.", 1, _axis(0)), ("asyncio paragraph one.", 0, _axis(50)), @@ -204,7 +204,7 @@ async def test_matched_chunks_are_ordered_for_reading(db_session, db_search_spac results = await search_chunks( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, query="asyncio", scope=SearchScope(), top_k=5, @@ -215,18 +215,18 @@ async def test_matched_chunks_are_ordered_for_reading(db_session, db_search_spac assert [chunk.position for chunk in hit.chunks] == [0, 1] -async def test_top_k_caps_the_number_of_documents(db_session, db_search_space): +async def test_top_k_caps_the_number_of_documents(db_session, db_workspace): for index in range(3): await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title=f"Doc {index}", chunks=[(f"asyncio mentioned in doc {index}.", 0, _axis(index))], ) results = await search_chunks( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, query="asyncio", scope=SearchScope(), top_k=2, diff --git a/surfsense_backend/tests/integration/agents/multi_agent_chat/subagents/builtins/knowledge_base/tools/test_search_knowledge_base.py b/surfsense_backend/tests/integration/agents/multi_agent_chat/subagents/builtins/knowledge_base/tools/test_search_knowledge_base.py index 09e5f0abf..2a05665cc 100644 --- a/surfsense_backend/tests/integration/agents/multi_agent_chat/subagents/builtins/knowledge_base/tools/test_search_knowledge_base.py +++ b/surfsense_backend/tests/integration/agents/multi_agent_chat/subagents/builtins/knowledge_base/tools/test_search_knowledge_base.py @@ -48,7 +48,7 @@ def _axis(index: int) -> list[float]: async def _add_document( db_session, *, - search_space_id: int, + workspace_id: int, title: str, text: str, folder_id: int | None = None, @@ -58,7 +58,7 @@ async def _add_document( document_type=DocumentType.FILE, content=text, content_hash=uuid.uuid4().hex, - search_space_id=search_space_id, + workspace_id=workspace_id, folder_id=folder_id, status={"state": "ready"}, ) @@ -71,8 +71,8 @@ async def _add_document( return document -async def _add_folder(db_session, *, search_space_id: int, name: str = "Folder"): - folder = Folder(name=name, position="0", search_space_id=search_space_id) +async def _add_folder(db_session, *, workspace_id: int, name: str = "Folder"): + folder = Folder(name=name, position="0", workspace_id=workspace_id) db_session.add(folder) await db_session.flush() return folder @@ -109,15 +109,15 @@ def _mentions(*, document_ids=(), folder_ids=()): async def test_tool_returns_retrieved_context_with_numbered_passages( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Asyncio Guide", text="The asyncio library enables concurrency.", ) - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke(tool, "asyncio") @@ -129,15 +129,15 @@ async def test_tool_returns_retrieved_context_with_numbered_passages( async def test_tool_populates_citation_registry_on_state( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Asyncio Guide", text="The asyncio library enables concurrency.", ) - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke(tool, "asyncio") @@ -147,15 +147,15 @@ async def test_tool_populates_citation_registry_on_state( async def test_tool_reuses_existing_registry_numbering( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Asyncio Guide", text="The asyncio library enables concurrency.", ) - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) first = await _invoke(tool, "asyncio") carried = first.update["citation_registry"] @@ -166,9 +166,9 @@ async def test_tool_reuses_existing_registry_numbering( async def test_tool_reports_no_matches_without_touching_state( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke(tool, "nonexistent-term-zzz") @@ -177,9 +177,9 @@ async def test_tool_reports_no_matches_without_touching_state( async def test_tool_rejects_empty_query( - db_search_space, _tool_uses_test_session, _pinned_embedding + db_workspace, _tool_uses_test_session, _pinned_embedding ): - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke(tool, " ") @@ -188,21 +188,21 @@ async def test_tool_rejects_empty_query( async def test_document_mention_confines_search_to_pinned_doc( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): pinned = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Pinned", text="asyncio appears in the pinned doc.", ) await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Other", text="asyncio appears in the other doc.", ) - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke(tool, "asyncio", context=_mentions(document_ids=[pinned.id])) @@ -213,23 +213,23 @@ async def test_document_mention_confines_search_to_pinned_doc( async def test_folder_mention_confines_search_to_folder_documents( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): - folder = await _add_folder(db_session, search_space_id=db_search_space.id) + folder = await _add_folder(db_session, workspace_id=db_workspace.id) await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Inside", text="asyncio appears inside the folder.", folder_id=folder.id, ) await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Outside", text="asyncio appears outside the folder.", ) - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke(tool, "asyncio", context=_mentions(folder_ids=[folder.id])) @@ -240,7 +240,7 @@ async def test_folder_mention_confines_search_to_folder_documents( async def test_document_mention_via_state_confines_search( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): """The real subagent path: mentions arrive on ``runtime.state`` (no context). @@ -250,17 +250,17 @@ async def test_document_mention_via_state_confines_search( """ pinned = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Pinned", text="asyncio appears in the pinned doc.", ) await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Other", text="asyncio appears in the other doc.", ) - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke( tool, @@ -275,24 +275,24 @@ async def test_document_mention_via_state_confines_search( async def test_folder_mention_via_state_confines_search( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): """Folder pins delivered via state (subagent path) scope to the folder's docs.""" - folder = await _add_folder(db_session, search_space_id=db_search_space.id) + folder = await _add_folder(db_session, workspace_id=db_workspace.id) await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Inside", text="asyncio appears inside the folder.", folder_id=folder.id, ) await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Outside", text="asyncio appears outside the folder.", ) - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke( tool, @@ -307,22 +307,22 @@ async def test_folder_mention_via_state_confines_search( async def test_state_mentions_take_precedence_over_context( - db_session, db_search_space, _tool_uses_test_session, _pinned_embedding + db_session, db_workspace, _tool_uses_test_session, _pinned_embedding ): """When both carry pins, state wins (the forwarded subagent pin is authoritative).""" state_doc = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="StatePinned", text="asyncio appears in the state-pinned doc.", ) context_doc = await _add_document( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="ContextPinned", text="asyncio appears in the context-pinned doc.", ) - tool = create_search_knowledge_base_tool(search_space_id=db_search_space.id) + tool = create_search_knowledge_base_tool(workspace_id=db_workspace.id) result = await _invoke( tool, diff --git a/surfsense_backend/tests/integration/agents/multi_agent_chat/test_agent_turn.py b/surfsense_backend/tests/integration/agents/multi_agent_chat/test_agent_turn.py index d45570484..59b9d2161 100644 --- a/surfsense_backend/tests/integration/agents/multi_agent_chat/test_agent_turn.py +++ b/surfsense_backend/tests/integration/agents/multi_agent_chat/test_agent_turn.py @@ -35,18 +35,18 @@ def _last_ai_text(messages: list) -> str | None: @pytest.mark.asyncio -async def test_agent_runs_a_scripted_text_turn(db_session, db_user, db_search_space): +async def test_agent_runs_a_scripted_text_turn(db_session, db_user, db_workspace): """A freshly assembled agent streams a scripted final-text turn to completion.""" harness = build_scripted_harness(turns=[ScriptedTurn(text="done")]) agent = await create_multi_agent_chat_deep_agent( llm=harness.model, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, db_session=db_session, connector_service=ConnectorService(db_session), checkpointer=InMemorySaver(), user_id=str(db_user.id), - thread_id=db_search_space.id, + thread_id=db_workspace.id, agent_config=None, ) @@ -59,7 +59,7 @@ async def test_agent_runs_a_scripted_text_turn(db_session, db_user, db_search_sp @pytest.mark.asyncio -async def test_agent_routes_a_scripted_tool_call(db_session, db_user, db_search_space): +async def test_agent_routes_a_scripted_tool_call(db_session, db_user, db_workspace): """The compiled graph routes a model tool call to its tool and resumes.""" harness = build_scripted_harness( turns=[ @@ -79,12 +79,12 @@ async def test_agent_routes_a_scripted_tool_call(db_session, db_user, db_search_ agent = await create_multi_agent_chat_deep_agent( llm=harness.model, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, db_session=db_session, connector_service=ConnectorService(db_session), checkpointer=InMemorySaver(), user_id=str(db_user.id), - thread_id=db_search_space.id, + thread_id=db_workspace.id, agent_config=None, additional_tools=harness.tools, ) @@ -101,7 +101,7 @@ async def test_agent_routes_a_scripted_tool_call(db_session, db_user, db_search_ @pytest.mark.asyncio async def test_agent_checkpoint_round_trips_across_turns( - db_session, db_user, db_search_space + db_session, db_user, db_workspace ): """Turn 2 sees turn 1's history, proving the checkpoint serializes and reloads. @@ -118,12 +118,12 @@ async def test_agent_checkpoint_round_trips_across_turns( async def _build(): return await create_multi_agent_chat_deep_agent( llm=harness.model, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, db_session=db_session, connector_service=ConnectorService(db_session), checkpointer=checkpointer, user_id=str(db_user.id), - thread_id=db_search_space.id, + thread_id=db_workspace.id, agent_config=None, ) diff --git a/surfsense_backend/tests/integration/agents/multi_agent_chat/test_kb_filesystem_cloud.py b/surfsense_backend/tests/integration/agents/multi_agent_chat/test_kb_filesystem_cloud.py index 878473f55..c73382705 100644 --- a/surfsense_backend/tests/integration/agents/multi_agent_chat/test_kb_filesystem_cloud.py +++ b/surfsense_backend/tests/integration/agents/multi_agent_chat/test_kb_filesystem_cloud.py @@ -40,16 +40,16 @@ _SEARCH_SPACE_ID = 1 def _build_cloud_fs_mw(): """Build the production filesystem middleware in cloud mode. - A non-None ``search_space_id`` makes the resolver hand out a + A non-None ``workspace_id`` makes the resolver hand out a ``KBPostgresBackend``, exactly as production does. Staging operations never touch the DB, so a dummy id is sufficient for these tests. """ selection = FilesystemSelection(mode=FilesystemMode.CLOUD) - resolver = build_backend_resolver(selection, search_space_id=_SEARCH_SPACE_ID) + resolver = build_backend_resolver(selection, workspace_id=_SEARCH_SPACE_ID) return build_filesystem_mw( backend_resolver=resolver, filesystem_mode=FilesystemMode.CLOUD, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id="00000000-0000-0000-0000-000000000001", thread_id=_SEARCH_SPACE_ID, read_only=False, diff --git a/surfsense_backend/tests/integration/agents/multi_agent_chat/test_kb_filesystem_desktop.py b/surfsense_backend/tests/integration/agents/multi_agent_chat/test_kb_filesystem_desktop.py index e013ef35b..586dbdfb6 100644 --- a/surfsense_backend/tests/integration/agents/multi_agent_chat/test_kb_filesystem_desktop.py +++ b/surfsense_backend/tests/integration/agents/multi_agent_chat/test_kb_filesystem_desktop.py @@ -51,7 +51,7 @@ def _build_desktop_fs_mw(root: Path): return build_filesystem_mw( backend_resolver=resolver, filesystem_mode=FilesystemMode.DESKTOP_LOCAL_FOLDER, - search_space_id=1, + workspace_id=1, user_id="00000000-0000-0000-0000-000000000001", thread_id=1, read_only=False, diff --git a/surfsense_backend/tests/integration/agents/multi_agent_chat/test_web_search_delegation.py b/surfsense_backend/tests/integration/agents/multi_agent_chat/test_web_search_delegation.py new file mode 100644 index 000000000..70d624089 --- /dev/null +++ b/surfsense_backend/tests/integration/agents/multi_agent_chat/test_web_search_delegation.py @@ -0,0 +1,82 @@ +"""Backend E2E: public web search now flows through the ``google_search`` route. + +After the Google-only consolidation the main agent has no ``web_search`` tool; +a web query must be delegated to the ``google_search`` subagent via ``task``. +This drives the *assembled* production graph (real DB, scripted LLM) end to end: +main agent emits a ``task(google_search, ...)`` call, the subagent runs a turn, +and the main agent resumes to a final answer. Proves the delegation path the +teardown relies on actually executes -- not just that the constants changed. +""" + +from __future__ import annotations + +import pytest +from langchain_core.messages import AIMessage, HumanMessage, ToolMessage +from langgraph.checkpoint.memory import InMemorySaver + +from app.agents.chat.multi_agent_chat import create_multi_agent_chat_deep_agent +from app.services.connector_service import ConnectorService +from tests.integration.harness import ScriptedTurn, build_scripted_harness + +pytestmark = pytest.mark.integration + + +def _last_ai_text(messages: list) -> str | None: + for m in reversed(messages): + if isinstance(m, AIMessage) and isinstance(m.content, str) and m.content: + return m.content + return None + + +@pytest.mark.asyncio +async def test_web_query_delegates_to_google_search(db_session, db_user, db_workspace): + """A web-search query routes through ``task(google_search)`` and resumes. + + Scripted sequence (the fake model is shared and consumed in order across the + main agent and the delegated subagent): + 1. main agent -> task(subagent_type="google_search") + 2. subagent -> plain text (never touches the scrape tool, so no network) + 3. main agent -> final answer + """ + harness = build_scripted_harness( + turns=[ + ScriptedTurn( + tool_calls=[ + { + "name": "task", + "args": { + "subagent_type": "google_search", + "description": "latest SurfSense release notes", + }, + "id": "call_ws_task", + } + ] + ), + ScriptedTurn(text="SERP: SurfSense v2 shipped Google-only web search."), + ScriptedTurn(text="SurfSense v2 shipped Google-only web search."), + ] + ) + + agent = await create_multi_agent_chat_deep_agent( + llm=harness.model, + workspace_id=db_workspace.id, + db_session=db_session, + connector_service=ConnectorService(db_session), + checkpointer=InMemorySaver(), + user_id=str(db_user.id), + thread_id=db_workspace.id, + agent_config=None, + ) + + result = await agent.ainvoke( + {"messages": [HumanMessage(content="search the web for SurfSense news")]}, + config={"configurable": {"thread_id": "ws-google-delegation-1"}}, + ) + + task_tool_messages = [ + m for m in result["messages"] if isinstance(m, ToolMessage) and m.name == "task" + ] + assert task_tool_messages, "web query did not delegate through the task tool" + assert _last_ai_text(result["messages"]) == ( + "SurfSense v2 shipped Google-only web search." + ) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/__init__.py b/surfsense_backend/tests/integration/automations/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/discord/__init__.py rename to surfsense_backend/tests/integration/automations/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/__init__.py b/surfsense_backend/tests/integration/automations/actions/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/gmail/__init__.py rename to surfsense_backend/tests/integration/automations/actions/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/__init__.py b/surfsense_backend/tests/integration/automations/actions/builtin/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/jira/__init__.py rename to surfsense_backend/tests/integration/automations/actions/builtin/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/__init__.py b/surfsense_backend/tests/integration/automations/api/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/linear/__init__.py rename to surfsense_backend/tests/integration/automations/api/__init__.py diff --git a/surfsense_backend/tests/integration/automations/conftest.py b/surfsense_backend/tests/integration/automations/conftest.py new file mode 100644 index 000000000..62420d93d --- /dev/null +++ b/surfsense_backend/tests/integration/automations/conftest.py @@ -0,0 +1,66 @@ +"""Shared fixtures for automations integration tests. + +Bridges the code-under-test to the transactional ``db_session`` so real +behavior runs against real Postgres and rolls back at test end: + +* ``client`` — httpx over ASGI with ``get_async_session``/``get_auth_context`` + overridden to the test session + owner. +* ``enqueue_spy`` — capture ``automation_run_execute.apply_async`` so run-now + can be asserted without a Redis broker. +""" + +from __future__ import annotations + +from collections.abc import AsyncGenerator + +import httpx +import pytest +import pytest_asyncio +from httpx import ASGITransport +from sqlalchemy.ext.asyncio import AsyncSession + +from app.app import app +from app.auth.context import AuthContext +from app.db import User, get_async_session +from app.users import get_auth_context + + +@pytest_asyncio.fixture +async def client( + db_session: AsyncSession, db_user: User +) -> AsyncGenerator[httpx.AsyncClient, None]: + async def override_session() -> AsyncGenerator[AsyncSession, None]: + yield db_session + + async def override_auth() -> AuthContext: + return AuthContext.session(db_user) + + previous = app.dependency_overrides.copy() + app.dependency_overrides[get_async_session] = override_session + app.dependency_overrides[get_auth_context] = override_auth + try: + async with httpx.AsyncClient( + transport=ASGITransport(app=app), + base_url="http://test", + timeout=30.0, + follow_redirects=False, + ) as c: + yield c + finally: + app.dependency_overrides.clear() + app.dependency_overrides.update(previous) + + +@pytest.fixture +def enqueue_spy(monkeypatch) -> list[dict]: + """Capture Celery enqueues so run-now needs no broker.""" + import app.automations.dispatch.launch as launch_mod + + calls: list[dict] = [] + + def _spy(*args, **kwargs): + calls.append({"args": args, "kwargs": kwargs}) + return None + + monkeypatch.setattr(launch_mod.automation_run_execute, "apply_async", _spy) + return calls diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/__init__.py b/surfsense_backend/tests/integration/automations/services/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/luma/__init__.py rename to surfsense_backend/tests/integration/automations/services/__init__.py diff --git a/surfsense_backend/tests/integration/automations/test_checkpointer_cross_loop.py b/surfsense_backend/tests/integration/automations/test_checkpointer_cross_loop.py new file mode 100644 index 000000000..9e3f32a28 --- /dev/null +++ b/surfsense_backend/tests/integration/automations/test_checkpointer_cross_loop.py @@ -0,0 +1,61 @@ +"""The durable checkpointer survives Celery's fresh-loop-per-task model. + +Slice 1's whole point: the shared ``AsyncPostgresSaver`` pool binds connections +to the loop that opened them, and Celery runs each task on a new loop. This +writes a checkpoint on one ``run_async_celery_task`` loop and reads it back on a +*fresh* one — proving the per-task pool dispose lets a new loop reopen and read +committed state, rather than stalling on a stale connection. + +Uses the real pool against the real (test) Postgres, so a regression in the +dispose wiring fails here, not just in production. +""" + +from __future__ import annotations + +import uuid + +import pytest +from langgraph.checkpoint.base import empty_checkpoint + +from app.agents.chat.runtime.checkpointer import close_checkpointer, get_checkpointer +from app.tasks.celery_tasks import run_async_celery_task + +pytestmark = pytest.mark.integration + + +def _config(thread_id: str) -> dict: + return {"configurable": {"thread_id": thread_id, "checkpoint_ns": ""}} + + +def test_checkpoint_written_on_one_loop_is_readable_on_a_fresh_loop() -> None: + thread_id = f"cross-loop-{uuid.uuid4()}" + config = _config(thread_id) + checkpoint = empty_checkpoint() + + async def _write() -> None: + cp = await get_checkpointer() + await cp.aput(config, checkpoint, {"source": "update", "step": 0}, {}) + + async def _read(): + cp = await get_checkpointer() + return await cp.aget_tuple(config) + + async def _cleanup() -> None: + cp = await get_checkpointer() + delete = getattr(cp, "adelete_thread", None) + if delete is not None: + await delete(thread_id) + + # Loop 1 writes and commits; run_async_celery_task disposes the pool after. + run_async_celery_task(_write) + + # Loop 2 is a brand-new event loop: a stale loop-bound pool would stall + # here (PoolTimeout). It must reopen and read the committed checkpoint. + tup = run_async_celery_task(_read) + + try: + assert tup is not None, "fresh loop could not read the prior checkpoint" + assert tup.checkpoint["id"] == checkpoint["id"] + finally: + run_async_celery_task(_cleanup) + run_async_celery_task(lambda: close_checkpointer()) diff --git a/surfsense_backend/tests/integration/chat/test_append_message_recovery.py b/surfsense_backend/tests/integration/chat/test_append_message_recovery.py index c6a40c356..4c866f5a5 100644 --- a/surfsense_backend/tests/integration/chat/test_append_message_recovery.py +++ b/surfsense_backend/tests/integration/chat/test_append_message_recovery.py @@ -46,9 +46,9 @@ from app.db import ( NewChatMessage, NewChatMessageRole, NewChatThread, - SearchSpace, TokenUsage, User, + Workspace, ) from app.routes import new_chat_routes from app.services.token_tracking_service import TurnTokenAccumulator @@ -69,11 +69,11 @@ pytestmark = pytest.mark.integration @pytest_asyncio.fixture async def db_thread( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ) -> NewChatThread: thread = NewChatThread( title="Test Chat", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, created_by_id=db_user.id, visibility=ChatVisibility.PRIVATE, ) @@ -109,7 +109,7 @@ def bypass_permission_checks(monkeypatch): """Replace RBAC + thread access checks with no-ops. The append_message route under test calls ``check_permission`` and - ``check_thread_access``; those rely on a SearchSpaceMembership row + ``check_thread_access``; those rely on a WorkspaceMembership row that the existing integration fixtures don't create. The contract we want to verify here is the ``IntegrityError`` -> recovery branch, not the RBAC plumbing — so stub them. @@ -208,7 +208,7 @@ class TestToolHeavyTurnFinalize: db_session, db_user, db_thread, - db_search_space, + db_workspace, patched_shielded_session, ): """End-to-end seam: builder snapshot -> finalize -> DB row. @@ -221,7 +221,7 @@ class TestToolHeavyTurnFinalize: """ thread_id = db_thread.id user_id_str = str(db_user.id) - search_space_id = db_search_space.id + workspace_id = db_workspace.id turn_id = f"{thread_id}:tool_heavy" msg_id = await persist_assistant_shell( @@ -258,7 +258,7 @@ class TestToolHeavyTurnFinalize: await finalize_assistant_turn( message_id=msg_id, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id=turn_id, content=snapshot, @@ -300,7 +300,7 @@ class TestToolHeavyTurnFinalize: assert usage.total_tokens == 280 assert usage.cost_micros == 22222 assert usage.thread_id == thread_id - assert usage.search_space_id == search_space_id + assert usage.workspace_id == workspace_id # --------------------------------------------------------------------------- @@ -314,7 +314,7 @@ class TestAppendMessageRecoveryAfterFinalize: db_session, db_user, db_thread, - db_search_space, + db_workspace, patched_shielded_session, bypass_permission_checks, ): @@ -337,7 +337,7 @@ class TestAppendMessageRecoveryAfterFinalize: """ thread_id = db_thread.id user_id_str = str(db_user.id) - search_space_id = db_search_space.id + workspace_id = db_workspace.id turn_id = f"{thread_id}:fe_late_append" # Step 1: server stream completes. Server-built rich content is @@ -353,7 +353,7 @@ class TestAppendMessageRecoveryAfterFinalize: await finalize_assistant_turn( message_id=msg_id, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id=turn_id, content=server_content, @@ -439,7 +439,7 @@ class TestAppendMessageRecoveryAfterFinalize: db_session, db_user, db_thread, - db_search_space, + db_workspace, patched_shielded_session, bypass_permission_checks, ): @@ -456,7 +456,7 @@ class TestAppendMessageRecoveryAfterFinalize: """ thread_id = db_thread.id user_id_str = str(db_user.id) - search_space_id = db_search_space.id + workspace_id = db_workspace.id turn_id = f"{thread_id}:fe_first" # Step 1: legacy FE appendMessage lands first. No prior shell @@ -490,7 +490,7 @@ class TestAppendMessageRecoveryAfterFinalize: await finalize_assistant_turn( message_id=adopted_id, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id=turn_id, content=server_content, diff --git a/surfsense_backend/tests/integration/chat/test_message_id_sse.py b/surfsense_backend/tests/integration/chat/test_message_id_sse.py index 8fc935eaa..d1631215e 100644 --- a/surfsense_backend/tests/integration/chat/test_message_id_sse.py +++ b/surfsense_backend/tests/integration/chat/test_message_id_sse.py @@ -48,8 +48,8 @@ from app.db import ( NewChatMessage, NewChatMessageRole, NewChatThread, - SearchSpace, User, + Workspace, ) from app.services.new_streaming_service import VercelStreamingService from app.tasks.chat import persistence as persistence_module @@ -68,11 +68,11 @@ pytestmark = pytest.mark.integration @pytest_asyncio.fixture async def db_thread( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ) -> NewChatThread: thread = NewChatThread( title="Test Chat", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, created_by_id=db_user.id, visibility=ChatVisibility.PRIVATE, ) diff --git a/surfsense_backend/tests/integration/chat/test_persistence.py b/surfsense_backend/tests/integration/chat/test_persistence.py index d6f816cc0..b79946ade 100644 --- a/surfsense_backend/tests/integration/chat/test_persistence.py +++ b/surfsense_backend/tests/integration/chat/test_persistence.py @@ -38,9 +38,9 @@ from app.db import ( NewChatMessage, NewChatMessageRole, NewChatThread, - SearchSpace, TokenUsage, User, + Workspace, ) from app.services.token_tracking_service import TurnTokenAccumulator from app.tasks.chat import persistence as persistence_module @@ -60,11 +60,11 @@ pytestmark = pytest.mark.integration @pytest_asyncio.fixture async def db_thread( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ) -> NewChatThread: thread = NewChatThread( title="Test Chat", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, created_by_id=db_user.id, visibility=ChatVisibility.PRIVATE, ) @@ -537,13 +537,13 @@ class TestFinalizeAssistantTurn: db_session, db_user, db_thread, - db_search_space, + db_workspace, patched_shielded_session, ): thread_id = db_thread.id user_id_uuid = db_user.id user_id_str = str(user_id_uuid) - search_space_id = db_search_space.id + workspace_id = db_workspace.id turn_id = f"{thread_id}:4000" msg_id = await persist_assistant_shell( @@ -568,7 +568,7 @@ class TestFinalizeAssistantTurn: await finalize_assistant_turn( message_id=msg_id, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id=turn_id, content=rich_content, @@ -597,19 +597,19 @@ class TestFinalizeAssistantTurn: assert usage.total_tokens == 150 assert usage.cost_micros == 12345 assert usage.thread_id == thread_id - assert usage.search_space_id == search_space_id + assert usage.workspace_id == workspace_id async def test_empty_content_writes_status_marker( self, db_session, db_user, db_thread, - db_search_space, + db_workspace, patched_shielded_session, ): thread_id = db_thread.id user_id_str = str(db_user.id) - search_space_id = db_search_space.id + workspace_id = db_workspace.id turn_id = f"{thread_id}:5000" msg_id = await persist_assistant_shell( @@ -624,7 +624,7 @@ class TestFinalizeAssistantTurn: await finalize_assistant_turn( message_id=msg_id, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id=turn_id, content=[], @@ -640,12 +640,12 @@ class TestFinalizeAssistantTurn: db_session, db_user, db_thread, - db_search_space, + db_workspace, patched_shielded_session, ): thread_id = db_thread.id user_id_str = str(db_user.id) - search_space_id = db_search_space.id + workspace_id = db_workspace.id turn_id = f"{thread_id}:6000" msg_id = await persist_assistant_shell( @@ -659,7 +659,7 @@ class TestFinalizeAssistantTurn: await finalize_assistant_turn( message_id=msg_id, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id=turn_id, content=[{"type": "text", "text": "first finalize"}], @@ -681,7 +681,7 @@ class TestFinalizeAssistantTurn: await finalize_assistant_turn( message_id=msg_id, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id=turn_id, content=[{"type": "text", "text": "second finalize"}], @@ -708,7 +708,7 @@ class TestFinalizeAssistantTurn: db_session, db_user, db_thread, - db_search_space, + db_workspace, patched_shielded_session, ): """Cross-writer race: ``append_message`` arrives after ``finalize_assistant_turn``. @@ -722,7 +722,7 @@ class TestFinalizeAssistantTurn: thread_id = db_thread.id user_uuid = db_user.id user_id_str = str(user_uuid) - search_space_id = db_search_space.id + workspace_id = db_workspace.id turn_id = f"{thread_id}:7000" msg_id = await persist_assistant_shell( @@ -735,7 +735,7 @@ class TestFinalizeAssistantTurn: await finalize_assistant_turn( message_id=msg_id, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id=turn_id, content=[{"type": "text", "text": "from server"}], @@ -758,7 +758,7 @@ class TestFinalizeAssistantTurn: call_details=None, thread_id=thread_id, message_id=msg_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_uuid, ) .on_conflict_do_nothing( @@ -783,19 +783,19 @@ class TestFinalizeAssistantTurn: db_session, db_user, db_thread, - db_search_space, + db_workspace, patched_shielded_session, ): thread_id = db_thread.id user_id_str = str(db_user.id) - search_space_id = db_search_space.id + workspace_id = db_workspace.id # message_id that doesn't exist — finalize must log+return, # never raise (called from shielded finally). await finalize_assistant_turn( message_id=999_999_999, chat_id=thread_id, - search_space_id=search_space_id, + workspace_id=workspace_id, user_id=user_id_str, turn_id="anything", content=[{"type": "text", "text": "x"}], diff --git a/surfsense_backend/tests/integration/chat/test_thread_visibility.py b/surfsense_backend/tests/integration/chat/test_thread_visibility.py index ba6f2a66f..888f31439 100644 --- a/surfsense_backend/tests/integration/chat/test_thread_visibility.py +++ b/surfsense_backend/tests/integration/chat/test_thread_visibility.py @@ -2,7 +2,7 @@ These tests exercise the route handlers directly with real DB-backed users, memberships, and permissions. The important contract is that a -thread shared with a search space stays shared across normal metadata +thread shared with a workspace stays shared across normal metadata updates until the creator explicitly makes it private again. """ @@ -19,10 +19,10 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.auth.context import AuthContext from app.db import ( ChatVisibility, - SearchSpace, - SearchSpaceMembership, - SearchSpaceRole, User, + Workspace, + WorkspaceMembership, + WorkspaceRole, ) from app.routes import new_chat_routes from app.schemas.new_chat import ( @@ -39,7 +39,7 @@ def _auth(user: User) -> AuthContext: @pytest_asyncio.fixture -async def db_member(db_session: AsyncSession, db_search_space: SearchSpace) -> User: +async def db_member(db_session: AsyncSession, db_workspace: Workspace) -> User: member = User( id=uuid.uuid4(), email="member@surfsense.net", @@ -54,9 +54,9 @@ async def db_member(db_session: AsyncSession, db_search_space: SearchSpace) -> U role = ( ( await db_session.execute( - select(SearchSpaceRole).where( - SearchSpaceRole.search_space_id == db_search_space.id, - SearchSpaceRole.name == "Editor", + select(WorkspaceRole).where( + WorkspaceRole.workspace_id == db_workspace.id, + WorkspaceRole.name == "Editor", ) ) ) @@ -64,9 +64,9 @@ async def db_member(db_session: AsyncSession, db_search_space: SearchSpace) -> U .one() ) db_session.add( - SearchSpaceMembership( + WorkspaceMembership( user_id=member.id, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, role_id=role.id, is_owner=False, ) @@ -78,7 +78,7 @@ async def db_member(db_session: AsyncSession, db_search_space: SearchSpace) -> U async def _create_thread( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, *, title: str = "Visibility Invariant Chat", ): @@ -86,7 +86,7 @@ async def _create_thread( NewChatThreadCreate( title=title, archived=False, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, visibility=ChatVisibility.PRIVATE, ), session=db_session, @@ -102,21 +102,21 @@ def _search_thread_ids(response) -> set[int]: return {thread.id for thread in response} -async def test_private_thread_is_hidden_from_other_search_space_member( +async def test_private_thread_is_hidden_from_other_workspace_member( db_session: AsyncSession, db_user: User, db_member: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - thread = await _create_thread(db_session, db_user, db_search_space) + thread = await _create_thread(db_session, db_user, db_workspace) member_threads = await new_chat_routes.list_threads( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, session=db_session, auth=_auth(db_member), ) member_search = await new_chat_routes.search_threads( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Visibility", session=db_session, auth=_auth(db_member), @@ -137,9 +137,9 @@ async def test_creator_can_share_thread_and_member_can_list_search_read_it( db_session: AsyncSession, db_user: User, db_member: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - thread = await _create_thread(db_session, db_user, db_search_space) + thread = await _create_thread(db_session, db_user, db_workspace) updated = await new_chat_routes.update_thread_visibility( thread_id=thread.id, @@ -151,12 +151,12 @@ async def test_creator_can_share_thread_and_member_can_list_search_read_it( ) member_threads = await new_chat_routes.list_threads( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, session=db_session, auth=_auth(db_member), ) member_search = await new_chat_routes.search_threads( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Visibility", session=db_session, auth=_auth(db_member), @@ -177,9 +177,9 @@ async def test_creator_can_share_thread_and_member_can_list_search_read_it( async def test_rename_and_archive_do_not_reset_shared_visibility( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - thread = await _create_thread(db_session, db_user, db_search_space) + thread = await _create_thread(db_session, db_user, db_workspace) await new_chat_routes.update_thread_visibility( thread_id=thread.id, visibility_update=NewChatThreadVisibilityUpdate( @@ -211,9 +211,9 @@ async def test_non_creator_cannot_change_shared_thread_back_to_private( db_session: AsyncSession, db_user: User, db_member: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - thread = await _create_thread(db_session, db_user, db_search_space) + thread = await _create_thread(db_session, db_user, db_workspace) await new_chat_routes.update_thread_visibility( thread_id=thread.id, visibility_update=NewChatThreadVisibilityUpdate( @@ -240,9 +240,9 @@ async def test_creator_can_make_shared_thread_private_again( db_session: AsyncSession, db_user: User, db_member: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - thread = await _create_thread(db_session, db_user, db_search_space) + thread = await _create_thread(db_session, db_user, db_workspace) await new_chat_routes.update_thread_visibility( thread_id=thread.id, visibility_update=NewChatThreadVisibilityUpdate( @@ -261,12 +261,12 @@ async def test_creator_can_make_shared_thread_private_again( auth=_auth(db_user), ) member_threads = await new_chat_routes.list_threads( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, session=db_session, auth=_auth(db_member), ) member_search = await new_chat_routes.search_threads( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Visibility", session=db_session, auth=_auth(db_member), diff --git a/surfsense_backend/tests/integration/composio/conftest.py b/surfsense_backend/tests/integration/composio/conftest.py index 578b5b228..66d729d83 100644 --- a/surfsense_backend/tests/integration/composio/conftest.py +++ b/surfsense_backend/tests/integration/composio/conftest.py @@ -65,7 +65,7 @@ async def client( async def drive_connector( db_session: AsyncSession, db_user: User, - db_search_space, + db_workspace, ) -> SearchSourceConnector: connector = SearchSourceConnector( name="Google Drive (Composio) - e2e-fake@surfsense.example", @@ -77,7 +77,7 @@ async def drive_connector( "toolkit_name": "Google Drive", "is_indexable": True, }, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=db_user.id, ) db_session.add(connector) diff --git a/surfsense_backend/tests/integration/composio/test_oauth_callback.py b/surfsense_backend/tests/integration/composio/test_oauth_callback.py index d2f4c3752..5fdc3d51e 100644 --- a/surfsense_backend/tests/integration/composio/test_oauth_callback.py +++ b/surfsense_backend/tests/integration/composio/test_oauth_callback.py @@ -9,8 +9,8 @@ from app.config import config from app.db import ( SearchSourceConnector, SearchSourceConnectorType, - SearchSpace, User, + Workspace, ) from app.utils.oauth_security import OAuthStateManager @@ -29,12 +29,12 @@ async def _drive_connectors( session: AsyncSession, *, user_id: UUID, - search_space_id: int, + workspace_id: int, ) -> list[SearchSourceConnector]: result = await session.execute( select(SearchSourceConnector).where( SearchSourceConnector.user_id == user_id, - SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.workspace_id == workspace_id, SearchSourceConnector.connector_type == SearchSourceConnectorType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR, ) @@ -46,9 +46,9 @@ async def test_callback_with_error_param_redirects_to_denied_page( client: httpx.AsyncClient, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - state = _state_for(db_search_space.id, db_user.id) + state = _state_for(db_workspace.id, db_user.id) response = await client.get( f"/api/v1/auth/composio/connector/callback?state={state}&error=access_denied" @@ -57,14 +57,13 @@ async def test_callback_with_error_param_redirects_to_denied_page( assert response.status_code in {302, 303, 307} location = response.headers["location"] assert ( - f"/dashboard/{db_search_space.id}/connectors/callback?" - "error=composio_oauth_denied" + f"/dashboard/{db_workspace.id}/connectors/callback?error=composio_oauth_denied" ) in location connectors = await _drive_connectors( db_session, user_id=db_user.id, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) assert connectors == [] @@ -73,9 +72,9 @@ async def test_second_oauth_for_same_toolkit_takes_reconnection_branch( client: httpx.AsyncClient, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - first_state = _state_for(db_search_space.id, db_user.id) + first_state = _state_for(db_workspace.id, db_user.id) first_response = await client.get( "/api/v1/auth/composio/connector/callback" @@ -86,7 +85,7 @@ async def test_second_oauth_for_same_toolkit_takes_reconnection_branch( first_connectors = await _drive_connectors( db_session, user_id=db_user.id, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) assert len(first_connectors) == 1 first_connector = first_connectors[0] @@ -94,7 +93,7 @@ async def test_second_oauth_for_same_toolkit_takes_reconnection_branch( "fake-acct-googledrive-first" ) - second_state = _state_for(db_search_space.id, db_user.id) + second_state = _state_for(db_workspace.id, db_user.id) second_response = await client.get( "/api/v1/auth/composio/connector/callback" f"?state={second_state}&connectedAccountId=fake-acct-googledrive-second" @@ -104,7 +103,7 @@ async def test_second_oauth_for_same_toolkit_takes_reconnection_branch( second_connectors = await _drive_connectors( db_session, user_id=db_user.id, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) assert len(second_connectors) == 1 assert second_connectors[0].id == first_connector.id diff --git a/surfsense_backend/tests/integration/conftest.py b/surfsense_backend/tests/integration/conftest.py index 6b8aa3cdb..efd8454ac 100644 --- a/surfsense_backend/tests/integration/conftest.py +++ b/surfsense_backend/tests/integration/conftest.py @@ -21,13 +21,13 @@ Base = app_db.Base DocumentType = app_db.DocumentType SearchSourceConnector = app_db.SearchSourceConnector SearchSourceConnectorType = app_db.SearchSourceConnectorType -SearchSpace = app_db.SearchSpace +Workspace = app_db.Workspace User = app_db.User ConnectorDocument = importlib.import_module( "app.indexing_pipeline.connector_document" ).ConnectorDocument create_default_roles_and_membership = importlib.import_module( - "app.routes.search_spaces_routes" + "app.routes.workspaces_routes" ).create_default_roles_and_membership TEST_DATABASE_URL = importlib.import_module("tests.conftest").TEST_DATABASE_URL @@ -95,13 +95,13 @@ async def db_user(db_session: AsyncSession) -> User: @pytest_asyncio.fixture async def db_connector( - db_session: AsyncSession, db_user: User, db_search_space: "SearchSpace" + db_session: AsyncSession, db_user: User, db_workspace: "Workspace" ) -> SearchSourceConnector: connector = SearchSourceConnector( name="Test Connector", connector_type=SearchSourceConnectorType.CLICKUP_CONNECTOR, config={}, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=db_user.id, ) db_session.add(connector) @@ -110,14 +110,14 @@ async def db_connector( @pytest_asyncio.fixture -async def db_search_space(db_session: AsyncSession, db_user: User) -> SearchSpace: - space = SearchSpace( +async def db_workspace(db_session: AsyncSession, db_user: User) -> Workspace: + space = Workspace( name="Test Space", user_id=db_user.id, ) db_session.add(space) await db_session.flush() - # Mirror POST /searchspaces so routes guarded by check_permission find a membership. + # Mirror POST /workspaces so routes guarded by check_permission find a membership. await create_default_roles_and_membership(db_session, space.id, db_user.id) await db_session.flush() return space @@ -180,7 +180,7 @@ def make_connector_document(db_connector, db_user): "source_markdown": "## Heading\n\nSome content.", "unique_id": "test-id-001", "document_type": DocumentType.CLICKUP_CONNECTOR, - "search_space_id": db_connector.search_space_id, + "workspace_id": db_connector.workspace_id, "connector_id": db_connector.id, "created_by_id": str(db_user.id), } diff --git a/surfsense_backend/tests/integration/document_upload/conftest.py b/surfsense_backend/tests/integration/document_upload/conftest.py index bd889360f..894ec1a7a 100644 --- a/surfsense_backend/tests/integration/document_upload/conftest.py +++ b/surfsense_backend/tests/integration/document_upload/conftest.py @@ -34,7 +34,7 @@ from tests.utils.helpers import ( auth_headers, delete_document, get_auth_token, - get_search_space_id, + get_workspace_id, ) limiter.enabled = False @@ -66,7 +66,7 @@ class InlineTaskDispatcher: document_id: int, temp_path: str, filename: str, - search_space_id: int, + workspace_id: int, user_id: str, use_vision_llm: bool = False, processing_mode: str = "basic", @@ -80,7 +80,7 @@ class InlineTaskDispatcher: document_id, temp_path, filename, - search_space_id, + workspace_id, user_id, use_vision_llm=use_vision_llm, processing_mode=processing_mode, @@ -107,7 +107,7 @@ async def _ensure_tables(): # --------------------------------------------------------------------------- -# Auth & search space (session-scoped, via the in-process app) +# Auth & workspace (session-scoped, via the in-process app) # --------------------------------------------------------------------------- @@ -121,12 +121,12 @@ async def auth_token(_ensure_tables) -> str: @pytest.fixture(scope="session") -async def search_space_id(auth_token: str) -> int: - """Discover the first search space belonging to the test user.""" +async def workspace_id(auth_token: str) -> int: + """Discover the first workspace belonging to the test user.""" async with httpx.AsyncClient( transport=ASGITransport(app=app), base_url="http://test", timeout=30.0 ) as c: - return await get_search_space_id(c, auth_token) + return await get_workspace_id(c, auth_token) @pytest.fixture(scope="session") @@ -155,19 +155,19 @@ def cleanup_doc_ids() -> list[int]: @pytest.fixture(scope="session", autouse=True) -async def _purge_test_search_space(search_space_id: int): +async def _purge_test_workspace(workspace_id: int): """Delete stale documents from previous runs before the session starts.""" conn = await asyncpg.connect(_ASYNCPG_URL) try: result = await conn.execute( - "DELETE FROM documents WHERE search_space_id = $1", - search_space_id, + "DELETE FROM documents WHERE workspace_id = $1", + workspace_id, ) deleted = int(result.split()[-1]) if deleted: print( f"\n[purge] Deleted {deleted} stale document(s) " - f"from search space {search_space_id}" + f"from workspace {workspace_id}" ) finally: await conn.close() diff --git a/surfsense_backend/tests/integration/document_upload/test_document_upload.py b/surfsense_backend/tests/integration/document_upload/test_document_upload.py index 13ceae828..2e8ff005b 100644 --- a/surfsense_backend/tests/integration/document_upload/test_document_upload.py +++ b/surfsense_backend/tests/integration/document_upload/test_document_upload.py @@ -37,11 +37,11 @@ class TestTxtFileUpload: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): resp = await upload_file( - client, headers, "sample.txt", search_space_id=search_space_id + client, headers, "sample.txt", workspace_id=workspace_id ) assert resp.status_code == 200 @@ -54,18 +54,18 @@ class TestTxtFileUpload: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): resp = await upload_file( - client, headers, "sample.txt", search_space_id=search_space_id + client, headers, "sample.txt", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] cleanup_doc_ids.extend(doc_ids) statuses = await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id + client, headers, doc_ids, workspace_id=workspace_id ) for did in doc_ids: assert statuses[did]["status"]["state"] == "ready" @@ -78,18 +78,18 @@ class TestPdfFileUpload: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): resp = await upload_file( - client, headers, "sample.pdf", search_space_id=search_space_id + client, headers, "sample.pdf", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] cleanup_doc_ids.extend(doc_ids) statuses = await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id, timeout=300.0 + client, headers, doc_ids, workspace_id=workspace_id, timeout=300.0 ) for did in doc_ids: assert statuses[did]["status"]["state"] == "ready" @@ -107,14 +107,14 @@ class TestMultiFileUpload: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): resp = await upload_multiple_files( client, headers, ["sample.txt", "sample.md"], - search_space_id=search_space_id, + workspace_id=workspace_id, ) assert resp.status_code == 200 @@ -139,22 +139,22 @@ class TestDuplicateFileUpload: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): resp1 = await upload_file( - client, headers, "sample.txt", search_space_id=search_space_id + client, headers, "sample.txt", workspace_id=workspace_id ) assert resp1.status_code == 200 first_ids = resp1.json()["document_ids"] cleanup_doc_ids.extend(first_ids) await poll_document_status( - client, headers, first_ids, search_space_id=search_space_id + client, headers, first_ids, workspace_id=workspace_id ) resp2 = await upload_file( - client, headers, "sample.txt", search_space_id=search_space_id + client, headers, "sample.txt", workspace_id=workspace_id ) assert resp2.status_code == 200 @@ -179,18 +179,18 @@ class TestDuplicateContentDetection: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], tmp_path: Path, ): resp1 = await upload_file( - client, headers, "sample.txt", search_space_id=search_space_id + client, headers, "sample.txt", workspace_id=workspace_id ) assert resp1.status_code == 200 first_ids = resp1.json()["document_ids"] cleanup_doc_ids.extend(first_ids) await poll_document_status( - client, headers, first_ids, search_space_id=search_space_id + client, headers, first_ids, workspace_id=workspace_id ) src = FIXTURES_DIR / "sample.txt" @@ -202,7 +202,7 @@ class TestDuplicateContentDetection: "/api/v1/documents/fileupload", headers=headers, files={"files": ("renamed_sample.txt", f)}, - data={"search_space_id": str(search_space_id)}, + data={"workspace_id": str(workspace_id)}, ) assert resp2.status_code == 200 second_ids = resp2.json()["document_ids"] @@ -212,7 +212,7 @@ class TestDuplicateContentDetection: ) statuses = await poll_document_status( - client, headers, second_ids, search_space_id=search_space_id + client, headers, second_ids, workspace_id=workspace_id ) for did in second_ids: assert statuses[did]["status"]["state"] == "failed" @@ -231,11 +231,11 @@ class TestEmptyFileUpload: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): resp = await upload_file( - client, headers, "empty.pdf", search_space_id=search_space_id + client, headers, "empty.pdf", workspace_id=workspace_id ) assert resp.status_code == 200 @@ -244,7 +244,7 @@ class TestEmptyFileUpload: assert doc_ids, "Expected at least one document id for empty PDF upload" statuses = await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id, timeout=120.0 + client, headers, doc_ids, workspace_id=workspace_id, timeout=120.0 ) for did in doc_ids: assert statuses[did]["status"]["state"] == "failed" @@ -264,14 +264,14 @@ class TestUnauthenticatedUpload: async def test_upload_without_auth_returns_401( self, client: httpx.AsyncClient, - search_space_id: int, + workspace_id: int, ): file_path = FIXTURES_DIR / "sample.txt" with open(file_path, "rb") as f: resp = await client.post( "/api/v1/documents/fileupload", files={"files": ("sample.txt", f)}, - data={"search_space_id": str(search_space_id)}, + data={"workspace_id": str(workspace_id)}, ) assert resp.status_code == 401 @@ -288,12 +288,12 @@ class TestNoFilesUpload: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, ): resp = await client.post( "/api/v1/documents/fileupload", headers=headers, - data={"search_space_id": str(search_space_id)}, + data={"workspace_id": str(workspace_id)}, ) assert resp.status_code in {400, 422} @@ -310,24 +310,22 @@ class TestDocumentSearchability: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): resp = await upload_file( - client, headers, "sample.txt", search_space_id=search_space_id + client, headers, "sample.txt", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] cleanup_doc_ids.extend(doc_ids) - await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id - ) + await poll_document_status(client, headers, doc_ids, workspace_id=workspace_id) search_resp = await client.get( "/api/v1/documents/search", headers=headers, - params={"title": "sample", "search_space_id": search_space_id}, + params={"title": "sample", "workspace_id": workspace_id}, ) assert search_resp.status_code == 200 diff --git a/surfsense_backend/tests/integration/document_upload/test_etl_credits.py b/surfsense_backend/tests/integration/document_upload/test_etl_credits.py index 6a2972598..ec31c6d6c 100644 --- a/surfsense_backend/tests/integration/document_upload/test_etl_credits.py +++ b/surfsense_backend/tests/integration/document_upload/test_etl_credits.py @@ -57,7 +57,7 @@ class TestBalanceDecrementsOnSuccess: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], credits, ): @@ -65,14 +65,14 @@ class TestBalanceDecrementsOnSuccess: before = await _get_balance(client, headers) resp = await upload_file( - client, headers, "sample.pdf", search_space_id=search_space_id + client, headers, "sample.pdf", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] cleanup_doc_ids.extend(doc_ids) statuses = await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id, timeout=300.0 + client, headers, doc_ids, workspace_id=workspace_id, timeout=300.0 ) for did in doc_ids: assert statuses[did]["status"]["state"] == "ready" @@ -94,21 +94,21 @@ class TestUploadRejectedWhenCreditExhausted: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], credits, ): await credits.set(balance_micros=0) resp = await upload_file( - client, headers, "sample.pdf", search_space_id=search_space_id + client, headers, "sample.pdf", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] cleanup_doc_ids.extend(doc_ids) statuses = await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id, timeout=300.0 + client, headers, doc_ids, workspace_id=workspace_id, timeout=300.0 ) for did in doc_ids: assert statuses[did]["status"]["state"] == "failed" @@ -121,21 +121,21 @@ class TestUploadRejectedWhenCreditExhausted: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], credits, ): await credits.set(balance_micros=0) resp = await upload_file( - client, headers, "sample.pdf", search_space_id=search_space_id + client, headers, "sample.pdf", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] cleanup_doc_ids.extend(doc_ids) await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id, timeout=300.0 + client, headers, doc_ids, workspace_id=workspace_id, timeout=300.0 ) balance = await _get_balance(client, headers) @@ -157,28 +157,28 @@ class TestInsufficientCreditsNotification: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], credits, ): await credits.set(balance_micros=0) resp = await upload_file( - client, headers, "sample.pdf", search_space_id=search_space_id + client, headers, "sample.pdf", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] cleanup_doc_ids.extend(doc_ids) await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id, timeout=300.0 + client, headers, doc_ids, workspace_id=workspace_id, timeout=300.0 ) notifications = await get_notifications( client, headers, type_filter="insufficient_credits", - search_space_id=search_space_id, + workspace_id=workspace_id, ) assert len(notifications) >= 1, ( "Expected at least one insufficient_credits notification" @@ -206,28 +206,26 @@ class TestDocumentProcessingNotification: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], credits, ): await credits.set(balance_micros=credits.pages(1000)) resp = await upload_file( - client, headers, "sample.txt", search_space_id=search_space_id + client, headers, "sample.txt", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] cleanup_doc_ids.extend(doc_ids) - await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id - ) + await poll_document_status(client, headers, doc_ids, workspace_id=workspace_id) notifications = await get_notifications( client, headers, type_filter="document_processing", - search_space_id=search_space_id, + workspace_id=workspace_id, ) completed = [ n @@ -252,7 +250,7 @@ class TestBalanceUnchangedOnProcessingFailure: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], credits, ): @@ -260,7 +258,7 @@ class TestBalanceUnchangedOnProcessingFailure: await credits.set(balance_micros=starting) resp = await upload_file( - client, headers, "empty.pdf", search_space_id=search_space_id + client, headers, "empty.pdf", workspace_id=workspace_id ) assert resp.status_code == 200 doc_ids = resp.json()["document_ids"] @@ -268,7 +266,7 @@ class TestBalanceUnchangedOnProcessingFailure: if doc_ids: statuses = await poll_document_status( - client, headers, doc_ids, search_space_id=search_space_id, timeout=120.0 + client, headers, doc_ids, workspace_id=workspace_id, timeout=120.0 ) for did in doc_ids: assert statuses[did]["status"]["state"] == "failed" @@ -292,7 +290,7 @@ class TestSecondUploadExceedsCredit: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], credits, ): @@ -301,14 +299,14 @@ class TestSecondUploadExceedsCredit: await credits.set(balance_micros=credits.pages(1)) resp1 = await upload_file( - client, headers, "sample.pdf", search_space_id=search_space_id + client, headers, "sample.pdf", workspace_id=workspace_id ) assert resp1.status_code == 200 first_ids = resp1.json()["document_ids"] cleanup_doc_ids.extend(first_ids) statuses1 = await poll_document_status( - client, headers, first_ids, search_space_id=search_space_id, timeout=300.0 + client, headers, first_ids, workspace_id=workspace_id, timeout=300.0 ) for did in first_ids: assert statuses1[did]["status"]["state"] == "ready" @@ -317,7 +315,7 @@ class TestSecondUploadExceedsCredit: client, headers, "sample.pdf", - search_space_id=search_space_id, + workspace_id=workspace_id, filename_override="sample_copy.pdf", ) assert resp2.status_code == 200 @@ -325,7 +323,7 @@ class TestSecondUploadExceedsCredit: cleanup_doc_ids.extend(second_ids) statuses2 = await poll_document_status( - client, headers, second_ids, search_space_id=search_space_id, timeout=300.0 + client, headers, second_ids, workspace_id=workspace_id, timeout=300.0 ) for did in second_ids: assert statuses2[did]["status"]["state"] == "failed" diff --git a/surfsense_backend/tests/integration/document_upload/test_stripe_credit_purchases.py b/surfsense_backend/tests/integration/document_upload/test_stripe_credit_purchases.py index dcd4d1d2f..e53b37904 100644 --- a/surfsense_backend/tests/integration/document_upload/test_stripe_credit_purchases.py +++ b/surfsense_backend/tests/integration/document_upload/test_stripe_credit_purchases.py @@ -187,7 +187,7 @@ class TestStripeCheckoutSessionCreation: self, client, headers, - search_space_id: int, + workspace_id: int, monkeypatch, ): checkout_session = SimpleNamespace( @@ -205,7 +205,7 @@ class TestStripeCheckoutSessionCreation: response = await client.post( "/api/v1/stripe/create-credit-checkout-session", headers=headers, - json={"quantity": 2, "search_space_id": search_space_id}, + json={"quantity": 2, "workspace_id": workspace_id}, ) assert response.status_code == 200, response.text @@ -217,12 +217,12 @@ class TestStripeCheckoutSessionCreation: ] assert ( fake_client.last_params["success_url"] - == f"http://localhost:3000/dashboard/{search_space_id}/purchase-success" + == f"http://localhost:3000/dashboard/{workspace_id}/purchase-success" "?session_id={CHECKOUT_SESSION_ID}" ) assert ( fake_client.last_params["cancel_url"] - == f"http://localhost:3000/dashboard/{search_space_id}/purchase-cancel" + == f"http://localhost:3000/dashboard/{workspace_id}/purchase-cancel" ) assert fake_client.last_params["metadata"]["purchase_type"] == "credits" @@ -244,7 +244,7 @@ class TestStripeCheckoutSessionCreation: self, client, headers, - search_space_id: int, + workspace_id: int, monkeypatch, ): monkeypatch.setattr(stripe_routes.config, "STRIPE_CREDIT_BUYING_ENABLED", False) @@ -252,7 +252,7 @@ class TestStripeCheckoutSessionCreation: response = await client.post( "/api/v1/stripe/create-credit-checkout-session", headers=headers, - json={"quantity": 2, "search_space_id": search_space_id}, + json={"quantity": 2, "workspace_id": workspace_id}, ) assert response.status_code == 503, response.text @@ -270,7 +270,7 @@ class TestStripeWebhookFulfillment: self, client, headers, - search_space_id: int, + workspace_id: int, credits, monkeypatch, ): @@ -291,7 +291,7 @@ class TestStripeWebhookFulfillment: create_response = await client.post( "/api/v1/stripe/create-credit-checkout-session", headers=headers, - json={"quantity": 3, "search_space_id": search_space_id}, + json={"quantity": 3, "workspace_id": workspace_id}, ) assert create_response.status_code == 200, create_response.text @@ -359,7 +359,7 @@ class TestStripeReconciliation: self, client, headers, - search_space_id: int, + workspace_id: int, credits, monkeypatch, ): @@ -380,7 +380,7 @@ class TestStripeReconciliation: create_response = await client.post( "/api/v1/stripe/create-credit-checkout-session", headers=headers, - json={"quantity": 3, "search_space_id": search_space_id}, + json={"quantity": 3, "workspace_id": workspace_id}, ) assert create_response.status_code == 200, create_response.text assert await _get_balance(TEST_EMAIL) == 1_000_000 @@ -433,7 +433,7 @@ class TestStripeReconciliation: self, client, headers, - search_space_id: int, + workspace_id: int, credits, monkeypatch, ): @@ -454,7 +454,7 @@ class TestStripeReconciliation: create_response = await client.post( "/api/v1/stripe/create-credit-checkout-session", headers=headers, - json={"quantity": 1, "search_space_id": search_space_id}, + json={"quantity": 1, "workspace_id": workspace_id}, ) assert create_response.status_code == 200, create_response.text diff --git a/surfsense_backend/tests/integration/document_upload/test_upload_limits.py b/surfsense_backend/tests/integration/document_upload/test_upload_limits.py index a56398baa..027d8a7d0 100644 --- a/surfsense_backend/tests/integration/document_upload/test_upload_limits.py +++ b/surfsense_backend/tests/integration/document_upload/test_upload_limits.py @@ -34,14 +34,14 @@ class TestPerFileSizeLimit: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, ): oversized = io.BytesIO(b"\x00" * (500 * 1024 * 1024 + 1)) resp = await client.post( "/api/v1/documents/fileupload", headers=headers, files=[("files", ("big.pdf", oversized, "application/pdf"))], - data={"search_space_id": str(search_space_id)}, + data={"workspace_id": str(workspace_id)}, ) assert resp.status_code == 413 assert "per-file limit" in resp.json()["detail"].lower() @@ -50,7 +50,7 @@ class TestPerFileSizeLimit: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): at_limit = io.BytesIO(b"\x00" * (500 * 1024 * 1024)) @@ -58,7 +58,7 @@ class TestPerFileSizeLimit: "/api/v1/documents/fileupload", headers=headers, files=[("files", ("exact500mb.txt", at_limit, "text/plain"))], - data={"search_space_id": str(search_space_id)}, + data={"workspace_id": str(workspace_id)}, ) assert resp.status_code == 200 cleanup_doc_ids.extend(resp.json().get("document_ids", [])) @@ -76,7 +76,7 @@ class TestNoFileCountLimit: self, client: httpx.AsyncClient, headers: dict[str, str], - search_space_id: int, + workspace_id: int, cleanup_doc_ids: list[int], ): files = [ @@ -87,7 +87,7 @@ class TestNoFileCountLimit: "/api/v1/documents/fileupload", headers=headers, files=files, - data={"search_space_id": str(search_space_id)}, + data={"workspace_id": str(workspace_id)}, ) assert resp.status_code == 200 cleanup_doc_ids.extend(resp.json().get("document_ids", [])) diff --git a/surfsense_backend/tests/integration/google_unification/conftest.py b/surfsense_backend/tests/integration/google_unification/conftest.py index 151ee98e3..861f171f0 100644 --- a/surfsense_backend/tests/integration/google_unification/conftest.py +++ b/surfsense_backend/tests/integration/google_unification/conftest.py @@ -18,8 +18,8 @@ from app.db import ( DocumentType, SearchSourceConnector, SearchSourceConnectorType, - SearchSpace, User, + Workspace, ) EMBEDDING_DIM = app_config.embedding_model_instance.dimension @@ -31,7 +31,7 @@ def make_document( title: str, document_type: DocumentType, content: str, - search_space_id: int, + workspace_id: int, created_by_id: str, ) -> Document: """Build a Document instance with unique hashes and a dummy embedding.""" @@ -43,7 +43,7 @@ def make_document( content_hash=f"content-{uid}", unique_identifier_hash=f"uid-{uid}", source_markdown=content, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=created_by_id, embedding=DUMMY_EMBEDDING, updated_at=datetime.now(UTC), @@ -66,35 +66,35 @@ def make_chunk(*, content: str, document_id: int) -> Chunk: @pytest_asyncio.fixture async def seed_google_docs( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """Insert a native Drive doc, a legacy Composio Drive doc, and a FILE doc. Returns a dict with keys ``native_doc``, ``legacy_doc``, ``file_doc``, - plus ``search_space`` and ``user``. + plus ``workspace`` and ``user``. """ user_id = str(db_user.id) - space_id = db_search_space.id + space_id = db_workspace.id native_doc = make_document( title="Native Drive Document", document_type=DocumentType.GOOGLE_DRIVE_FILE, content="quarterly report from native google drive connector", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, ) legacy_doc = make_document( title="Legacy Composio Drive Document", document_type=DocumentType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR, content="quarterly report from composio google drive connector", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, ) file_doc = make_document( title="Uploaded PDF", document_type=DocumentType.FILE, content="unrelated uploaded file about quarterly reports", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, ) @@ -121,7 +121,7 @@ async def seed_google_docs( "native_doc": native_doc, "legacy_doc": legacy_doc, "file_doc": file_doc, - "search_space": db_search_space, + "workspace": db_workspace, "user": db_user, } @@ -136,8 +136,8 @@ async def seed_google_docs( async def committed_google_data(async_engine): """Insert native, legacy, and FILE docs via a committed transaction. - Yields ``{"search_space_id": int, "user_id": str}``. - Cleans up by deleting the search space (cascades to documents / chunks). + Yields ``{"workspace_id": int, "user_id": str}``. + Cleans up by deleting the workspace (cascades to documents / chunks). """ space_id = None @@ -155,7 +155,7 @@ async def committed_google_data(async_engine): session.add(user) await session.flush() - space = SearchSpace(name=f"Google Test {uuid.uuid4().hex[:6]}", user_id=user.id) + space = Workspace(name=f"Google Test {uuid.uuid4().hex[:6]}", user_id=user.id) session.add(space) await session.flush() space_id = space.id @@ -165,21 +165,21 @@ async def committed_google_data(async_engine): title="Native Drive Doc", document_type=DocumentType.GOOGLE_DRIVE_FILE, content="quarterly budget from native google drive", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, ) legacy_doc = make_document( title="Legacy Composio Drive Doc", document_type=DocumentType.COMPOSIO_GOOGLE_DRIVE_CONNECTOR, content="quarterly budget from composio google drive", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, ) file_doc = make_document( title="Plain File", document_type=DocumentType.FILE, content="quarterly budget uploaded as file", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, ) session.add_all([native_doc, legacy_doc, file_doc]) @@ -195,11 +195,11 @@ async def committed_google_data(async_engine): ) await session.flush() - yield {"search_space_id": space_id, "user_id": user_id} + yield {"workspace_id": space_id, "user_id": user_id} async with async_engine.begin() as conn: await conn.execute( - text("DELETE FROM searchspaces WHERE id = :sid"), {"sid": space_id} + text("DELETE FROM workspaces WHERE id = :sid"), {"sid": space_id} ) @@ -257,7 +257,7 @@ async def seed_connector( ): """Seed a connector with committed data. Returns dict and cleanup function. - Yields ``{"connector_id", "search_space_id", "user_id"}``. + Yields ``{"connector_id", "workspace_id", "user_id"}``. """ space_id = None @@ -275,9 +275,7 @@ async def seed_connector( session.add(user) await session.flush() - space = SearchSpace( - name=f"{name_prefix} {uuid.uuid4().hex[:6]}", user_id=user.id - ) + space = Workspace(name=f"{name_prefix} {uuid.uuid4().hex[:6]}", user_id=user.id) session.add(space) await session.flush() space_id = space.id @@ -287,7 +285,7 @@ async def seed_connector( connector_type=connector_type, is_indexable=True, config=config, - search_space_id=space_id, + workspace_id=space_id, user_id=user.id, ) session.add(connector) @@ -297,14 +295,14 @@ async def seed_connector( return { "connector_id": connector_id, - "search_space_id": space_id, + "workspace_id": space_id, "user_id": user_id, } async def cleanup_space(async_engine, space_id: int): - """Delete a search space (cascades to connectors/documents).""" + """Delete a workspace (cascades to connectors/documents).""" async with async_engine.begin() as conn: await conn.execute( - text("DELETE FROM searchspaces WHERE id = :sid"), {"sid": space_id} + text("DELETE FROM workspaces WHERE id = :sid"), {"sid": space_id} ) diff --git a/surfsense_backend/tests/integration/google_unification/test_calendar_indexer_credentials.py b/surfsense_backend/tests/integration/google_unification/test_calendar_indexer_credentials.py index 44ff5c48a..2b674c336 100644 --- a/surfsense_backend/tests/integration/google_unification/test_calendar_indexer_credentials.py +++ b/surfsense_backend/tests/integration/google_unification/test_calendar_indexer_credentials.py @@ -37,7 +37,7 @@ async def composio_calendar(async_engine): name_prefix="cal-composio", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @pytest_asyncio.fixture @@ -49,7 +49,7 @@ async def composio_calendar_no_id(async_engine): name_prefix="cal-noid", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @pytest_asyncio.fixture @@ -67,7 +67,7 @@ async def native_calendar(async_engine): name_prefix="cal-native", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @patch(_GET_ACCESS_TOKEN) @@ -98,7 +98,7 @@ async def test_composio_calendar_uses_composio_service( await index_google_calendar_events( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], ) @@ -137,7 +137,7 @@ async def test_composio_calendar_without_account_id_returns_error( count, _skipped, error = await index_google_calendar_events( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], ) @@ -179,7 +179,7 @@ async def test_native_calendar_uses_google_calendar_connector( await index_google_calendar_events( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], ) diff --git a/surfsense_backend/tests/integration/google_unification/test_drive_indexer_credentials.py b/surfsense_backend/tests/integration/google_unification/test_drive_indexer_credentials.py index 810c3ceab..9795628ed 100644 --- a/surfsense_backend/tests/integration/google_unification/test_drive_indexer_credentials.py +++ b/surfsense_backend/tests/integration/google_unification/test_drive_indexer_credentials.py @@ -62,7 +62,7 @@ async def committed_drive_connector(async_engine): name_prefix="drive-composio", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @pytest_asyncio.fixture @@ -80,7 +80,7 @@ async def committed_native_drive_connector(async_engine): name_prefix="drive-native", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @pytest_asyncio.fixture @@ -92,7 +92,7 @@ async def committed_composio_no_account_id(async_engine): name_prefix="drive-noid", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @patch(_GET_ACCESS_TOKEN) @@ -127,7 +127,7 @@ async def test_composio_drive_indexer_uses_composio_drive_client( await index_google_drive_files( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], folder_id="test-folder-id", ) @@ -167,7 +167,7 @@ async def test_composio_connector_without_account_id_returns_error( count, _skipped, error, _unsupported = await index_google_drive_files( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], folder_id="test-folder-id", ) @@ -207,7 +207,7 @@ async def test_native_connector_uses_google_drive_client( await index_google_drive_files( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], folder_id="test-folder-id", ) diff --git a/surfsense_backend/tests/integration/google_unification/test_gmail_indexer_credentials.py b/surfsense_backend/tests/integration/google_unification/test_gmail_indexer_credentials.py index b869f5607..88cdbb439 100644 --- a/surfsense_backend/tests/integration/google_unification/test_gmail_indexer_credentials.py +++ b/surfsense_backend/tests/integration/google_unification/test_gmail_indexer_credentials.py @@ -37,7 +37,7 @@ async def composio_gmail(async_engine): name_prefix="gmail-composio", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @pytest_asyncio.fixture @@ -49,7 +49,7 @@ async def composio_gmail_no_id(async_engine): name_prefix="gmail-noid", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @pytest_asyncio.fixture @@ -67,7 +67,7 @@ async def native_gmail(async_engine): name_prefix="gmail-native", ) yield data - await cleanup_space(async_engine, data["search_space_id"]) + await cleanup_space(async_engine, data["workspace_id"]) @patch(_GET_ACCESS_TOKEN) @@ -101,7 +101,7 @@ async def test_composio_gmail_uses_composio_service( await index_google_gmail_messages( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], ) @@ -140,7 +140,7 @@ async def test_composio_gmail_without_account_id_returns_error( count, _skipped, error = await index_google_gmail_messages( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], ) @@ -180,7 +180,7 @@ async def test_native_gmail_uses_google_gmail_connector( await index_google_gmail_messages( session=session, connector_id=data["connector_id"], - search_space_id=data["search_space_id"], + workspace_id=data["workspace_id"], user_id=data["user_id"], ) diff --git a/surfsense_backend/tests/integration/google_unification/test_hybrid_search_type_filtering.py b/surfsense_backend/tests/integration/google_unification/test_hybrid_search_type_filtering.py index 402d3ee0b..8230fb16b 100644 --- a/surfsense_backend/tests/integration/google_unification/test_hybrid_search_type_filtering.py +++ b/surfsense_backend/tests/integration/google_unification/test_hybrid_search_type_filtering.py @@ -19,13 +19,13 @@ async def test_list_of_types_returns_both_matching_doc_types( db_session, seed_google_docs ): """Searching with a list of document types returns documents of ALL listed types.""" - space_id = seed_google_docs["search_space"].id + space_id = seed_google_docs["workspace"].id retriever = ChucksHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly report", top_k=10, - search_space_id=space_id, + workspace_id=space_id, document_type=["GOOGLE_DRIVE_FILE", "COMPOSIO_GOOGLE_DRIVE_CONNECTOR"], query_embedding=DUMMY_EMBEDDING, ) @@ -40,13 +40,13 @@ async def test_list_of_types_returns_both_matching_doc_types( async def test_single_string_type_returns_only_that_type(db_session, seed_google_docs): """Searching with a single string type returns only documents of that exact type.""" - space_id = seed_google_docs["search_space"].id + space_id = seed_google_docs["workspace"].id retriever = ChucksHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly report", top_k=10, - search_space_id=space_id, + workspace_id=space_id, document_type="GOOGLE_DRIVE_FILE", query_embedding=DUMMY_EMBEDDING, ) @@ -59,13 +59,13 @@ async def test_single_string_type_returns_only_that_type(db_session, seed_google async def test_all_invalid_types_returns_empty(db_session, seed_google_docs): """Searching with a list of nonexistent types returns an empty list, no exceptions.""" - space_id = seed_google_docs["search_space"].id + space_id = seed_google_docs["workspace"].id retriever = ChucksHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly report", top_k=10, - search_space_id=space_id, + workspace_id=space_id, document_type=["NONEXISTENT_TYPE"], query_embedding=DUMMY_EMBEDDING, ) diff --git a/surfsense_backend/tests/integration/google_unification/test_search_includes_legacy_docs.py b/surfsense_backend/tests/integration/google_unification/test_search_includes_legacy_docs.py index d9b089c12..e720f43ba 100644 --- a/surfsense_backend/tests/integration/google_unification/test_search_includes_legacy_docs.py +++ b/surfsense_backend/tests/integration/google_unification/test_search_includes_legacy_docs.py @@ -19,13 +19,13 @@ async def test_search_google_drive_includes_legacy_composio_docs( async_engine, committed_google_data, patched_session_factory, patched_embed ): """search_google_drive returns both GOOGLE_DRIVE_FILE and COMPOSIO_GOOGLE_DRIVE_CONNECTOR docs.""" - space_id = committed_google_data["search_space_id"] + space_id = committed_google_data["workspace_id"] async with patched_session_factory() as session: - service = ConnectorService(session, search_space_id=space_id) + service = ConnectorService(session, workspace_id=space_id) _, raw_docs = await service.search_google_drive( user_query="quarterly budget", - search_space_id=space_id, + workspace_id=space_id, top_k=10, ) @@ -51,13 +51,13 @@ async def test_search_files_does_not_include_google_types( async_engine, committed_google_data, patched_session_factory, patched_embed ): """search_files returns only FILE docs, not Google Drive docs.""" - space_id = committed_google_data["search_space_id"] + space_id = committed_google_data["workspace_id"] async with patched_session_factory() as session: - service = ConnectorService(session, search_space_id=space_id) + service = ConnectorService(session, workspace_id=space_id) _, raw_docs = await service.search_files( user_query="quarterly budget", - search_space_id=space_id, + workspace_id=space_id, top_k=10, ) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/adapters/test_file_upload_adapter.py b/surfsense_backend/tests/integration/indexing_pipeline/adapters/test_file_upload_adapter.py index 814129c8d..9b5c25504 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/adapters/test_file_upload_adapter.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/adapters/test_file_upload_adapter.py @@ -8,19 +8,19 @@ pytestmark = pytest.mark.integration @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") -async def test_sets_status_ready(db_session, db_search_space, db_user, mocker): +async def test_sets_status_ready(db_session, db_workspace, db_user, mocker): """Document status is READY after successful indexing.""" adapter = UploadDocumentAdapter(db_session) await adapter.index( markdown_content="## Hello\n\nSome content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() @@ -28,19 +28,19 @@ async def test_sets_status_ready(db_session, db_search_space, db_user, mocker): @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") -async def test_content_is_source_markdown(db_session, db_search_space, db_user, mocker): +async def test_content_is_source_markdown(db_session, db_workspace, db_user, mocker): """Document content is set to the extracted source markdown.""" adapter = UploadDocumentAdapter(db_session) await adapter.index( markdown_content="## Hello\n\nSome content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() @@ -48,19 +48,19 @@ async def test_content_is_source_markdown(db_session, db_search_space, db_user, @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") -async def test_chunks_written_to_db(db_session, db_search_space, db_user, mocker): +async def test_chunks_written_to_db(db_session, db_workspace, db_user, mocker): """Chunks derived from the source markdown are persisted in the DB.""" adapter = UploadDocumentAdapter(db_session) await adapter.index( markdown_content="## Hello\n\nSome content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() @@ -74,7 +74,7 @@ async def test_chunks_written_to_db(db_session, db_search_space, db_user, mocker @pytest.mark.usefixtures("patched_embed_texts_raises", "patched_chunk_text") -async def test_raises_on_indexing_failure(db_session, db_search_space, db_user, mocker): +async def test_raises_on_indexing_failure(db_session, db_workspace, db_user, mocker): """RuntimeError is raised when the indexing step fails so the caller can fire a failure notification.""" adapter = UploadDocumentAdapter(db_session) with pytest.raises(RuntimeError, match=r"Embedding failed|Indexing failed"): @@ -82,7 +82,7 @@ async def test_raises_on_indexing_failure(db_session, db_search_space, db_user, markdown_content="## Hello\n\nSome content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) @@ -93,19 +93,19 @@ async def test_raises_on_indexing_failure(db_session, db_search_space, db_user, @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") -async def test_reindex_updates_content(db_session, db_search_space, db_user, mocker): +async def test_reindex_updates_content(db_session, db_workspace, db_user, mocker): """Document content is updated to the new source markdown after reindexing.""" adapter = UploadDocumentAdapter(db_session) await adapter.index( markdown_content="## Original\n\nOriginal content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() @@ -119,21 +119,19 @@ async def test_reindex_updates_content(db_session, db_search_space, db_user, moc @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") -async def test_reindex_updates_content_hash( - db_session, db_search_space, db_user, mocker -): +async def test_reindex_updates_content_hash(db_session, db_workspace, db_user, mocker): """Content hash is recomputed after reindexing with new source markdown.""" adapter = UploadDocumentAdapter(db_session) await adapter.index( markdown_content="## Original\n\nOriginal content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() original_hash = document.content_hash @@ -148,19 +146,19 @@ async def test_reindex_updates_content_hash( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") -async def test_reindex_sets_status_ready(db_session, db_search_space, db_user, mocker): +async def test_reindex_sets_status_ready(db_session, db_workspace, db_user, mocker): """Document status is READY after successful reindexing.""" adapter = UploadDocumentAdapter(db_session) await adapter.index( markdown_content="## Original\n\nOriginal content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() @@ -174,7 +172,7 @@ async def test_reindex_sets_status_ready(db_session, db_search_space, db_user, m @pytest.mark.usefixtures("patched_embed_texts") -async def test_reindex_replaces_chunks(db_session, db_search_space, db_user, mocker): +async def test_reindex_replaces_chunks(db_session, db_workspace, db_user, mocker): """Reindexing replaces old chunks with new content rather than appending.""" mocker.patch( "app.indexing_pipeline.cache.cached_indexing.chunk_text_hybrid", @@ -186,12 +184,12 @@ async def test_reindex_replaces_chunks(db_session, db_search_space, db_user, moc markdown_content="## Original\n\nOriginal content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() document_id = document.id @@ -212,7 +210,7 @@ async def test_reindex_replaces_chunks(db_session, db_search_space, db_user, moc @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_reindex_clears_reindexing_flag( - db_session, db_search_space, db_user, mocker + db_session, db_workspace, db_user, mocker ): """After successful reindex, content_needs_reindexing is False.""" adapter = UploadDocumentAdapter(db_session) @@ -220,12 +218,12 @@ async def test_reindex_clears_reindexing_flag( markdown_content="## Original\n\nOriginal content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() @@ -241,7 +239,7 @@ async def test_reindex_clears_reindexing_flag( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_reindex_raises_on_failure( - db_session, db_search_space, db_user, patched_embed_texts, mocker + db_session, db_workspace, db_user, patched_embed_texts, mocker ): """RuntimeError is raised when reindexing fails so the caller can handle it.""" @@ -250,12 +248,12 @@ async def test_reindex_raises_on_failure( markdown_content="## Original\n\nOriginal content.", filename="test.pdf", etl_service="UNSTRUCTURED", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), ) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) document = result.scalars().first() @@ -269,7 +267,7 @@ async def test_reindex_raises_on_failure( async def test_reindex_raises_on_empty_source_markdown( - db_session, db_search_space, db_user, mocker + db_session, db_workspace, db_user, mocker ): """Reindexing a document with no source_markdown raises immediately.""" from app.db import DocumentType @@ -281,7 +279,7 @@ async def test_reindex_raises_on_empty_source_markdown( content_hash="abc123", unique_identifier_hash="def456", source_markdown="", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, created_by_id=str(db_user.id), ) db_session.add(document) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_calendar_pipeline.py b/surfsense_backend/tests/integration/indexing_pipeline/test_calendar_pipeline.py index 8e1ed3752..6147fb9e7 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_calendar_pipeline.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_calendar_pipeline.py @@ -15,14 +15,14 @@ pytestmark = pytest.mark.integration def _cal_doc( - *, unique_id: str, search_space_id: int, connector_id: int, user_id: str + *, unique_id: str, workspace_id: int, connector_id: int, user_id: str ) -> ConnectorDocument: return ConnectorDocument( title=f"Event {unique_id}", source_markdown=f"## Calendar Event\n\nDetails for {unique_id}", unique_id=unique_id, document_type=DocumentType.GOOGLE_CALENDAR_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -36,13 +36,13 @@ def _cal_doc( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_calendar_pipeline_creates_ready_document( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """A Calendar ConnectorDocument flows through prepare + index to a READY document.""" - space_id = db_search_space.id + space_id = db_workspace.id doc = _cal_doc( unique_id="evt-1", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=str(db_user.id), ) @@ -54,7 +54,7 @@ async def test_calendar_pipeline_creates_ready_document( await service.index(prepared[0], doc) result = await db_session.execute( - select(Document).filter(Document.search_space_id == space_id) + select(Document).filter(Document.workspace_id == space_id) ) row = result.scalars().first() @@ -65,10 +65,10 @@ async def test_calendar_pipeline_creates_ready_document( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_calendar_legacy_doc_migrated( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """A legacy Composio Calendar doc is migrated and reused.""" - space_id = db_search_space.id + space_id = db_workspace.id user_id = str(db_user.id) evt_id = "evt-legacy-cal" @@ -82,7 +82,7 @@ async def test_calendar_legacy_doc_migrated( content_hash=f"ch-{legacy_hash[:12]}", unique_identifier_hash=legacy_hash, source_markdown="## Old event", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, embedding=[0.1] * _EMBEDDING_DIM, status={"state": "ready"}, @@ -93,7 +93,7 @@ async def test_calendar_legacy_doc_migrated( connector_doc = _cal_doc( unique_id=evt_id, - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=user_id, ) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_drive_pipeline.py b/surfsense_backend/tests/integration/indexing_pipeline/test_drive_pipeline.py index 6e85421ea..a2bd7cd30 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_drive_pipeline.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_drive_pipeline.py @@ -15,14 +15,14 @@ pytestmark = pytest.mark.integration def _drive_doc( - *, unique_id: str, search_space_id: int, connector_id: int, user_id: str + *, unique_id: str, workspace_id: int, connector_id: int, user_id: str ) -> ConnectorDocument: return ConnectorDocument( title=f"File {unique_id}.pdf", source_markdown=f"## Document Content\n\nText from file {unique_id}", unique_id=unique_id, document_type=DocumentType.GOOGLE_DRIVE_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -35,13 +35,13 @@ def _drive_doc( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_drive_pipeline_creates_ready_document( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """A Drive ConnectorDocument flows through prepare + index to a READY document.""" - space_id = db_search_space.id + space_id = db_workspace.id doc = _drive_doc( unique_id="file-abc", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=str(db_user.id), ) @@ -53,7 +53,7 @@ async def test_drive_pipeline_creates_ready_document( await service.index(prepared[0], doc) result = await db_session.execute( - select(Document).filter(Document.search_space_id == space_id) + select(Document).filter(Document.workspace_id == space_id) ) row = result.scalars().first() @@ -64,10 +64,10 @@ async def test_drive_pipeline_creates_ready_document( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_drive_legacy_doc_migrated( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """A legacy Composio Drive doc is migrated and reused.""" - space_id = db_search_space.id + space_id = db_workspace.id user_id = str(db_user.id) file_id = "file-legacy-drive" @@ -81,7 +81,7 @@ async def test_drive_legacy_doc_migrated( content_hash=f"ch-{legacy_hash[:12]}", unique_identifier_hash=legacy_hash, source_markdown="## Old file content", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, embedding=[0.1] * _EMBEDDING_DIM, status={"state": "ready"}, @@ -92,7 +92,7 @@ async def test_drive_legacy_doc_migrated( connector_doc = _drive_doc( unique_id=file_id, - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=user_id, ) @@ -114,7 +114,7 @@ async def test_drive_legacy_doc_migrated( async def test_should_skip_file_skips_failed_document( db_session, - db_search_space, + db_workspace, db_user, ): """A FAILED document with unchanged md5 must be skipped — user can manually retry via Quick Index.""" @@ -139,7 +139,7 @@ async def test_should_skip_file_skips_failed_document( if stub: sys.modules.pop(pkg, None) - space_id = db_search_space.id + space_id = db_workspace.id file_id = "file-failed-drive" md5 = "abc123deadbeef" @@ -153,7 +153,7 @@ async def test_should_skip_file_skips_failed_document( content_hash=f"ch-{doc_hash[:12]}", unique_identifier_hash=doc_hash, source_markdown="## Real content", - search_space_id=space_id, + workspace_id=space_id, created_by_id=str(db_user.id), embedding=[0.1] * _EMBEDDING_DIM, status=DocumentStatus.failed("LLM rate limit exceeded"), @@ -182,7 +182,7 @@ async def test_should_skip_file_skips_failed_document( @pytest.mark.parametrize("stuck_state", ["pending", "processing"]) async def test_should_skip_file_retries_stuck_document( db_session, - db_search_space, + db_workspace, db_user, stuck_state, ): @@ -208,7 +208,7 @@ async def test_should_skip_file_retries_stuck_document( if stub: sys.modules.pop(pkg, None) - space_id = db_search_space.id + space_id = db_workspace.id file_id = f"file-{stuck_state}-drive" md5 = "stuck123checksum" @@ -227,7 +227,7 @@ async def test_should_skip_file_retries_stuck_document( content_hash=f"ch-{doc_hash[:12]}", unique_identifier_hash=doc_hash, source_markdown="", - search_space_id=space_id, + workspace_id=space_id, created_by_id=str(db_user.id), status=status, document_metadata={ diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_dropbox_pipeline.py b/surfsense_backend/tests/integration/indexing_pipeline/test_dropbox_pipeline.py index 9faa3db91..7e4849db0 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_dropbox_pipeline.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_dropbox_pipeline.py @@ -14,14 +14,14 @@ pytestmark = pytest.mark.integration def _dropbox_doc( - *, unique_id: str, search_space_id: int, connector_id: int, user_id: str + *, unique_id: str, workspace_id: int, connector_id: int, user_id: str ) -> ConnectorDocument: return ConnectorDocument( title=f"File {unique_id}.docx", source_markdown=f"## Document\n\nContent from {unique_id}", unique_id=unique_id, document_type=DocumentType.DROPBOX_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -34,13 +34,13 @@ def _dropbox_doc( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_dropbox_pipeline_creates_ready_document( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """A Dropbox ConnectorDocument flows through prepare + index to a READY document.""" - space_id = db_search_space.id + space_id = db_workspace.id doc = _dropbox_doc( unique_id="db-file-abc", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=str(db_user.id), ) @@ -52,7 +52,7 @@ async def test_dropbox_pipeline_creates_ready_document( await service.index(prepared[0], doc) result = await db_session.execute( - select(Document).filter(Document.search_space_id == space_id) + select(Document).filter(Document.workspace_id == space_id) ) row = result.scalars().first() @@ -63,15 +63,15 @@ async def test_dropbox_pipeline_creates_ready_document( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_dropbox_duplicate_content_skipped( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """Re-indexing a Dropbox doc with the same content is skipped (content hash match).""" - space_id = db_search_space.id + space_id = db_workspace.id user_id = str(db_user.id) doc = _dropbox_doc( unique_id="db-dup-file", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=user_id, ) @@ -83,13 +83,13 @@ async def test_dropbox_duplicate_content_skipped( await service.index(prepared[0], doc) result = await db_session.execute( - select(Document).filter(Document.search_space_id == space_id) + select(Document).filter(Document.workspace_id == space_id) ) first_doc = result.scalars().first() assert first_doc is not None doc2 = _dropbox_doc( unique_id="db-dup-file", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=user_id, ) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_gmail_pipeline.py b/surfsense_backend/tests/integration/indexing_pipeline/test_gmail_pipeline.py index 2026393c5..f0267b583 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_gmail_pipeline.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_gmail_pipeline.py @@ -17,7 +17,7 @@ pytestmark = pytest.mark.integration def _gmail_doc( - *, unique_id: str, search_space_id: int, connector_id: int, user_id: str + *, unique_id: str, workspace_id: int, connector_id: int, user_id: str ) -> ConnectorDocument: """Build a Gmail-style ConnectorDocument like the real indexer does.""" return ConnectorDocument( @@ -25,7 +25,7 @@ def _gmail_doc( source_markdown=f"## Email\n\nBody of {unique_id}", unique_id=unique_id, document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -38,13 +38,13 @@ def _gmail_doc( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_gmail_pipeline_creates_ready_document( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """A Gmail ConnectorDocument flows through prepare + index to a READY document.""" - space_id = db_search_space.id + space_id = db_workspace.id doc = _gmail_doc( unique_id="msg-pipeline-1", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=str(db_user.id), ) @@ -56,7 +56,7 @@ async def test_gmail_pipeline_creates_ready_document( await service.index(prepared[0], doc) result = await db_session.execute( - select(Document).filter(Document.search_space_id == space_id) + select(Document).filter(Document.workspace_id == space_id) ) row = result.scalars().first() @@ -68,10 +68,10 @@ async def test_gmail_pipeline_creates_ready_document( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_gmail_legacy_doc_migrated_then_reused( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """A legacy Composio Gmail doc is migrated then reused by the pipeline.""" - space_id = db_search_space.id + space_id = db_workspace.id user_id = str(db_user.id) msg_id = "msg-legacy-gmail" @@ -85,7 +85,7 @@ async def test_gmail_legacy_doc_migrated_then_reused( content_hash=f"ch-{legacy_hash[:12]}", unique_identifier_hash=legacy_hash, source_markdown="## Old content", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, embedding=[0.1] * _EMBEDDING_DIM, status={"state": "ready"}, @@ -96,7 +96,7 @@ async def test_gmail_legacy_doc_migrated_then_reused( connector_doc = _gmail_doc( unique_id=msg_id, - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=user_id, ) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_index_batch.py b/surfsense_backend/tests/integration/indexing_pipeline/test_index_batch.py index 855676f61..85cf77902 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_index_batch.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_index_batch.py @@ -11,21 +11,21 @@ pytestmark = pytest.mark.integration @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_index_batch_creates_ready_documents( - db_session, db_search_space, make_connector_document, mocker + db_session, db_workspace, make_connector_document, mocker ): """index_batch prepares and indexes a batch, resulting in READY documents.""" - space_id = db_search_space.id + space_id = db_workspace.id docs = [ make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-batch-1", - search_space_id=space_id, + workspace_id=space_id, source_markdown="## Email 1\n\nBody", ), make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-batch-2", - search_space_id=space_id, + workspace_id=space_id, source_markdown="## Email 2\n\nDifferent body", ), ] @@ -36,7 +36,7 @@ async def test_index_batch_creates_ready_documents( assert len(results) == 2 result = await db_session.execute( - select(Document).filter(Document.search_space_id == space_id) + select(Document).filter(Document.workspace_id == space_id) ) rows = result.scalars().all() assert len(rows) == 2 diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_index_document.py b/surfsense_backend/tests/integration/indexing_pipeline/test_index_document.py index ee895c61b..14e07a498 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_index_document.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_index_document.py @@ -13,12 +13,12 @@ pytestmark = pytest.mark.integration @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_sets_status_ready( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """Document status is READY after successful indexing.""" - connector_doc = make_connector_document(search_space_id=db_search_space.id) + connector_doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) prepared = await service.prepare_for_indexing([connector_doc]) @@ -38,12 +38,12 @@ async def test_sets_status_ready( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_content_is_source_markdown_by_default( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """Document content is set to source_markdown by default.""" - connector_doc = make_connector_document(search_space_id=db_search_space.id) + connector_doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) prepared = await service.prepare_for_indexing([connector_doc]) @@ -63,12 +63,12 @@ async def test_content_is_source_markdown_by_default( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_content_is_source_markdown_when_custom_content( db_session, - db_search_space, + db_workspace, make_connector_document, ): """Document content is set to source_markdown verbatim.""" connector_doc = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="## Raw content", ) service = IndexingPipelineService(session=db_session) @@ -90,12 +90,12 @@ async def test_content_is_source_markdown_when_custom_content( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_chunks_written_to_db( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """Chunks derived from source_markdown are persisted in the DB.""" - connector_doc = make_connector_document(search_space_id=db_search_space.id) + connector_doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) prepared = await service.prepare_for_indexing([connector_doc]) @@ -116,12 +116,12 @@ async def test_chunks_written_to_db( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_embedding_written_to_db( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """Document embedding vector is persisted in the DB after indexing.""" - connector_doc = make_connector_document(search_space_id=db_search_space.id) + connector_doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) prepared = await service.prepare_for_indexing([connector_doc]) @@ -142,12 +142,12 @@ async def test_embedding_written_to_db( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_updated_at_advances_after_indexing( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """updated_at timestamp is later after indexing than it was at prepare time.""" - connector_doc = make_connector_document(search_space_id=db_search_space.id) + connector_doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) prepared = await service.prepare_for_indexing([connector_doc]) @@ -172,12 +172,12 @@ async def test_updated_at_advances_after_indexing( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_no_llm_falls_back_to_source_markdown( db_session, - db_search_space, + db_workspace, make_connector_document, ): """Content stays deterministic source markdown without an LLM.""" connector_doc = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="## Fallback content", ) service = IndexingPipelineService(session=db_session) @@ -200,12 +200,12 @@ async def test_no_llm_falls_back_to_source_markdown( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_source_markdown_used_without_preview( db_session, - db_search_space, + db_workspace, make_connector_document, ): """Source markdown is used without fallback preview fields.""" connector_doc = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="## Full raw content", ) service = IndexingPipelineService(session=db_session) @@ -227,13 +227,13 @@ async def test_source_markdown_used_without_preview( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_reindex_replaces_old_chunks( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """Re-indexing a document replaces its old chunks rather than appending.""" connector_doc = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="## v1", ) service = IndexingPipelineService(session=db_session) @@ -245,7 +245,7 @@ async def test_reindex_replaces_old_chunks( await service.index(document, connector_doc) updated_doc = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="## v2", ) re_prepared = await service.prepare_for_indexing([updated_doc]) @@ -262,12 +262,12 @@ async def test_reindex_replaces_old_chunks( @pytest.mark.usefixtures("patched_embed_texts_raises", "patched_chunk_text") async def test_embedding_error_sets_status_failed( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """Document status is FAILED when embedding raises during indexing.""" - connector_doc = make_connector_document(search_space_id=db_search_space.id) + connector_doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) prepared = await service.prepare_for_indexing([connector_doc]) @@ -287,12 +287,12 @@ async def test_embedding_error_sets_status_failed( @pytest.mark.usefixtures("patched_embed_texts_raises", "patched_chunk_text") async def test_embedding_error_leaves_no_partial_data( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """A failed indexing attempt leaves no partial embedding or chunks in the DB.""" - connector_doc = make_connector_document(search_space_id=db_search_space.id) + connector_doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) prepared = await service.prepare_for_indexing([connector_doc]) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_index_editions.py b/surfsense_backend/tests/integration/indexing_pipeline/test_index_editions.py index 68d5ec0af..26e89435c 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_index_editions.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_index_editions.py @@ -50,14 +50,12 @@ async def _load_chunks(db_session, document_id): @pytest.mark.usefixtures("paragraph_chunker") async def test_edit_keeps_unchanged_rows_and_embeds_only_the_new_text( db_session, - db_search_space, + db_workspace, make_connector_document, patched_embed_texts, ): service = IndexingPipelineService(session=db_session) - doc_v1 = make_connector_document( - search_space_id=db_search_space.id, source_markdown=_V1 - ) + doc_v1 = make_connector_document(workspace_id=db_workspace.id, source_markdown=_V1) document = await _index(service, doc_v1) ids_v1 = {c.content: c.id for c in await _load_chunks(db_session, document.id)} @@ -65,7 +63,7 @@ async def test_edit_keeps_unchanged_rows_and_embeds_only_the_new_text( edited = "Intro paragraph.\n\nBody paragraph EDITED.\n\nOutro paragraph." doc_v2 = make_connector_document( - search_space_id=db_search_space.id, source_markdown=edited + workspace_id=db_workspace.id, source_markdown=edited ) await _index(service, doc_v2) @@ -94,22 +92,20 @@ async def test_edit_keeps_unchanged_rows_and_embeds_only_the_new_text( @pytest.mark.usefixtures("paragraph_chunker", "patched_embed_texts") async def test_head_insert_shifts_positions_without_new_rows_for_old_text( db_session, - db_search_space, + db_workspace, make_connector_document, ): service = IndexingPipelineService(session=db_session) document = await _index( service, - make_connector_document( - search_space_id=db_search_space.id, source_markdown=_V1 - ), + make_connector_document(workspace_id=db_workspace.id, source_markdown=_V1), ) ids_v1 = {c.content: c.id for c in await _load_chunks(db_session, document.id)} await _index( service, make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="Brand new opener.\n\n" + _V1, ), ) @@ -130,22 +126,20 @@ async def test_head_insert_shifts_positions_without_new_rows_for_old_text( @pytest.mark.usefixtures("paragraph_chunker", "patched_embed_texts") async def test_removed_paragraph_is_deleted_and_order_compacts( db_session, - db_search_space, + db_workspace, make_connector_document, ): service = IndexingPipelineService(session=db_session) document = await _index( service, - make_connector_document( - search_space_id=db_search_space.id, source_markdown=_V1 - ), + make_connector_document(workspace_id=db_workspace.id, source_markdown=_V1), ) ids_v1 = {c.content: c.id for c in await _load_chunks(db_session, document.id)} await _index( service, make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="Intro paragraph.\n\nOutro paragraph.", ), ) @@ -162,7 +156,7 @@ async def test_removed_paragraph_is_deleted_and_order_compacts( @pytest.mark.usefixtures("paragraph_chunker", "patched_embed_texts") async def test_kill_switch_falls_back_to_full_replace( db_session, - db_search_space, + db_workspace, make_connector_document, monkeypatch, ): @@ -171,9 +165,7 @@ async def test_kill_switch_falls_back_to_full_replace( service = IndexingPipelineService(session=db_session) document = await _index( service, - make_connector_document( - search_space_id=db_search_space.id, source_markdown=_V1 - ), + make_connector_document(workspace_id=db_workspace.id, source_markdown=_V1), ) ids_v1 = {c.id for c in await _load_chunks(db_session, document.id)} @@ -181,7 +173,7 @@ async def test_kill_switch_falls_back_to_full_replace( await _index( service, make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown=_V1 + "\n\nAppended paragraph.", ), ) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_local_folder_pipeline.py b/surfsense_backend/tests/integration/indexing_pipeline/test_local_folder_pipeline.py index e37c34388..76ee82209 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_local_folder_pipeline.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_local_folder_pipeline.py @@ -14,8 +14,8 @@ from app.db import ( DocumentType, DocumentVersion, Folder, - SearchSpace, User, + Workspace, ) pytestmark = pytest.mark.integration @@ -66,7 +66,7 @@ class TestFullIndexer: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """I1: Single new .md file is indexed with status READY.""" @@ -76,7 +76,7 @@ class TestFullIndexer: count, _skipped, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -90,7 +90,7 @@ class TestFullIndexer: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ) @@ -106,7 +106,7 @@ class TestFullIndexer: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """I2: Second run on unchanged directory creates no new documents.""" @@ -116,7 +116,7 @@ class TestFullIndexer: count1, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -125,7 +125,7 @@ class TestFullIndexer: count2, _, _, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -139,7 +139,7 @@ class TestFullIndexer: .select_from(Document) .where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ).scalar_one() @@ -150,7 +150,7 @@ class TestFullIndexer: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """I3: Modified file content triggers re-index and creates a version.""" @@ -161,7 +161,7 @@ class TestFullIndexer: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -172,7 +172,7 @@ class TestFullIndexer: count, _, _, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -187,7 +187,7 @@ class TestFullIndexer: .join(Document) .where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ) @@ -201,7 +201,7 @@ class TestFullIndexer: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """I4: Deleted file is removed from DB on re-sync.""" @@ -212,7 +212,7 @@ class TestFullIndexer: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -224,7 +224,7 @@ class TestFullIndexer: .select_from(Document) .where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ).scalar_one() @@ -234,7 +234,7 @@ class TestFullIndexer: await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -247,7 +247,7 @@ class TestFullIndexer: .select_from(Document) .where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ).scalar_one() @@ -258,7 +258,7 @@ class TestFullIndexer: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """I5: Batch mode with a single file only processes that file.""" @@ -270,7 +270,7 @@ class TestFullIndexer: count, _, _, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -283,7 +283,7 @@ class TestFullIndexer: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ) @@ -305,7 +305,7 @@ class TestFolderMirroring: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """F1: First sync creates a root Folder and returns root_folder_id.""" @@ -315,7 +315,7 @@ class TestFolderMirroring: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -333,7 +333,7 @@ class TestFolderMirroring: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """F2: Nested dirs create Folder rows with correct parent_id chain.""" @@ -348,7 +348,7 @@ class TestFolderMirroring: await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -357,7 +357,7 @@ class TestFolderMirroring: folders = ( ( await db_session.execute( - select(Folder).where(Folder.search_space_id == db_search_space.id) + select(Folder).where(Folder.workspace_id == db_workspace.id) ) ) .scalars() @@ -381,7 +381,7 @@ class TestFolderMirroring: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """F3: Re-sync reuses existing Folder rows, no duplicates.""" @@ -393,7 +393,7 @@ class TestFolderMirroring: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -402,7 +402,7 @@ class TestFolderMirroring: folders_before = ( ( await db_session.execute( - select(Folder).where(Folder.search_space_id == db_search_space.id) + select(Folder).where(Folder.workspace_id == db_workspace.id) ) ) .scalars() @@ -412,7 +412,7 @@ class TestFolderMirroring: await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -422,7 +422,7 @@ class TestFolderMirroring: folders_after = ( ( await db_session.execute( - select(Folder).where(Folder.search_space_id == db_search_space.id) + select(Folder).where(Folder.workspace_id == db_workspace.id) ) ) .scalars() @@ -437,7 +437,7 @@ class TestFolderMirroring: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """F4: Documents get correct folder_id based on their directory.""" @@ -450,7 +450,7 @@ class TestFolderMirroring: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -461,7 +461,7 @@ class TestFolderMirroring: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ) @@ -485,7 +485,7 @@ class TestFolderMirroring: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """F5: Deleted dir's empty Folder row is cleaned up on re-sync.""" @@ -502,7 +502,7 @@ class TestFolderMirroring: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -517,7 +517,7 @@ class TestFolderMirroring: await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -539,7 +539,7 @@ class TestFolderMirroring: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """F6: Single-file mode creates missing Folder rows and assigns correct folder_id.""" @@ -549,7 +549,7 @@ class TestFolderMirroring: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -561,7 +561,7 @@ class TestFolderMirroring: count, _, _, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -597,7 +597,7 @@ class TestFolderMirroring: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """F7: Deleting the only file in a subfolder via batch mode removes empty Folder rows.""" @@ -610,7 +610,7 @@ class TestFolderMirroring: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -626,7 +626,7 @@ class TestFolderMirroring: await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -656,7 +656,7 @@ class TestBatchMode: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, patched_batch_sessions, ): @@ -669,7 +669,7 @@ class TestBatchMode: count, failed, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -689,7 +689,7 @@ class TestBatchMode: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ) @@ -707,7 +707,7 @@ class TestBatchMode: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, patched_batch_sessions, ): @@ -720,7 +720,7 @@ class TestBatchMode: count, failed, _, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -740,7 +740,7 @@ class TestBatchMode: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ) @@ -762,7 +762,7 @@ class TestPipelineIntegration: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, mocker, ): """P1: LOCAL_FOLDER_FILE ConnectorDocument through prepare+index to READY.""" @@ -776,7 +776,7 @@ class TestPipelineIntegration: source_markdown="## Local file\n\nContent from disk.", unique_id="test-folder:test.md", document_type=DocumentType.LOCAL_FOLDER_FILE, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, connector_id=None, created_by_id=str(db_user.id), ) @@ -794,7 +794,7 @@ class TestPipelineIntegration: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ) @@ -816,7 +816,7 @@ class TestDirectConvert: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """DC1: CSV file is indexed as a markdown table, not raw comma-separated text.""" @@ -826,7 +826,7 @@ class TestDirectConvert: count, _skipped, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -839,7 +839,7 @@ class TestDirectConvert: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ).scalar_one() @@ -853,7 +853,7 @@ class TestDirectConvert: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """DC2: TSV file is indexed as a markdown table.""" @@ -865,7 +865,7 @@ class TestDirectConvert: count, _skipped, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -878,7 +878,7 @@ class TestDirectConvert: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ).scalar_one() @@ -891,7 +891,7 @@ class TestDirectConvert: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """DC3: HTML file is indexed as clean markdown, not raw HTML.""" @@ -901,7 +901,7 @@ class TestDirectConvert: count, _skipped, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -914,7 +914,7 @@ class TestDirectConvert: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ).scalar_one() @@ -927,7 +927,7 @@ class TestDirectConvert: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """DC4: CSV via single-file batch mode also produces a markdown table.""" @@ -937,7 +937,7 @@ class TestDirectConvert: count, _skipped, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -951,7 +951,7 @@ class TestDirectConvert: await db_session.execute( select(Document).where( Document.document_type == DocumentType.LOCAL_FOLDER_FILE, - Document.search_space_id == db_search_space.id, + Document.workspace_id == db_workspace.id, ) ) ).scalar_one() @@ -984,7 +984,7 @@ class TestEtlCredits: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """CR1: Successful full-scan sync debits user.credit_micros_balance.""" @@ -998,7 +998,7 @@ class TestEtlCredits: count, _skipped, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1017,7 +1017,7 @@ class TestEtlCredits: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """CR2: Full-scan skips file when the wallet is empty.""" @@ -1030,7 +1030,7 @@ class TestEtlCredits: count, _skipped, _root_folder_id, _err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1048,7 +1048,7 @@ class TestEtlCredits: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """CR3: Single-file mode debits balance on success.""" @@ -1062,7 +1062,7 @@ class TestEtlCredits: count, _skipped, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1082,7 +1082,7 @@ class TestEtlCredits: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """CR4: Single-file mode skips file when the wallet is empty.""" @@ -1095,7 +1095,7 @@ class TestEtlCredits: count, _skipped, _root_folder_id, err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1116,7 +1116,7 @@ class TestEtlCredits: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """CR5: Re-syncing an unchanged file does not consume additional credit.""" @@ -1129,7 +1129,7 @@ class TestEtlCredits: count1, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1142,7 +1142,7 @@ class TestEtlCredits: count2, _, _, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1160,7 +1160,7 @@ class TestEtlCredits: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, patched_batch_sessions, ): @@ -1177,7 +1177,7 @@ class TestEtlCredits: count, failed, _root_folder_id, _err = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1209,7 +1209,7 @@ class TestIndexingProgressFlag: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """IP1: Full-scan mode clears indexing_in_progress after completion.""" @@ -1219,7 +1219,7 @@ class TestIndexingProgressFlag: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1237,7 +1237,7 @@ class TestIndexingProgressFlag: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """IP2: Single-file (Chokidar) mode clears indexing_in_progress after completion.""" @@ -1246,7 +1246,7 @@ class TestIndexingProgressFlag: (tmp_path / "root.md").write_text("root") _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1256,7 +1256,7 @@ class TestIndexingProgressFlag: await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", @@ -1275,7 +1275,7 @@ class TestIndexingProgressFlag: self, db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, tmp_path: Path, ): """IP3: indexing_in_progress is True on the root folder while indexing is running.""" @@ -1294,7 +1294,7 @@ class TestIndexingProgressFlag: folder = ( await db_session.execute( select(Folder).where( - Folder.search_space_id == db_search_space.id, + Folder.workspace_id == db_workspace.id, Folder.parent_id.is_(None), ) ) @@ -1308,7 +1308,7 @@ class TestIndexingProgressFlag: try: _, _, root_folder_id, _ = await index_local_folder( session=db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user_id=str(db_user.id), folder_path=str(tmp_path), folder_name="test-folder", diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_mark_connector_documents_failed.py b/surfsense_backend/tests/integration/indexing_pipeline/test_mark_connector_documents_failed.py index 9e3feee1e..ab634cb25 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_mark_connector_documents_failed.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_mark_connector_documents_failed.py @@ -20,14 +20,14 @@ pytestmark = pytest.mark.integration async def _make_doc( db_session, *, - search_space_id: int, + workspace_id: int, connector_id: int, user_id: str, file_id: str, status: dict, ) -> Document: uid_hash = compute_identifier_hash( - DocumentType.GOOGLE_DRIVE_FILE.value, file_id, search_space_id + DocumentType.GOOGLE_DRIVE_FILE.value, file_id, workspace_id ) doc = Document( title=f"{file_id}.pdf", @@ -36,7 +36,7 @@ async def _make_doc( content_hash=hashlib.sha256(f"placeholder:{uid_hash}".encode()).hexdigest(), unique_identifier_hash=uid_hash, document_metadata={"google_drive_file_id": file_id}, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, status=status, @@ -47,11 +47,11 @@ async def _make_doc( async def test_pending_placeholder_marked_failed( - db_session, db_search_space, db_connector, db_user + db_session, db_workspace, db_connector, db_user ): doc = await _make_doc( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, connector_id=db_connector.id, user_id=str(db_user.id), file_id="file-pending", @@ -61,7 +61,7 @@ async def test_pending_placeholder_marked_failed( marked = await mark_connector_documents_failed( db_session, document_type=DocumentType.GOOGLE_DRIVE_FILE, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, failures=[("file-pending", "Download/ETL failed: boom")], ) @@ -72,11 +72,11 @@ async def test_pending_placeholder_marked_failed( async def test_ready_document_not_clobbered( - db_session, db_search_space, db_connector, db_user + db_session, db_workspace, db_connector, db_user ): doc = await _make_doc( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, connector_id=db_connector.id, user_id=str(db_user.id), file_id="file-ready", @@ -86,7 +86,7 @@ async def test_ready_document_not_clobbered( marked = await mark_connector_documents_failed( db_session, document_type=DocumentType.GOOGLE_DRIVE_FILE, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, failures=[("file-ready", "should be ignored")], ) @@ -95,16 +95,16 @@ async def test_ready_document_not_clobbered( assert DocumentStatus.is_state(doc.status, DocumentStatus.READY) -async def test_missing_document_is_noop(db_session, db_search_space): +async def test_missing_document_is_noop(db_session, db_workspace): marked = await mark_connector_documents_failed( db_session, document_type=DocumentType.GOOGLE_DRIVE_FILE, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, failures=[("does-not-exist", "reason")], ) assert marked == 0 result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) assert result.scalars().first() is None diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_migrate_legacy_docs.py b/surfsense_backend/tests/integration/indexing_pipeline/test_migrate_legacy_docs.py index 8fc0e7586..1580a1736 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_migrate_legacy_docs.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_migrate_legacy_docs.py @@ -14,10 +14,10 @@ pytestmark = pytest.mark.integration async def test_legacy_composio_gmail_doc_migrated_in_db( - db_session, db_search_space, db_user, make_connector_document + db_session, db_workspace, db_user, make_connector_document ): """A Composio Gmail doc in the DB gets its hash and type updated to native.""" - space_id = db_search_space.id + space_id = db_workspace.id user_id = str(db_user.id) unique_id = "msg-legacy-123" @@ -34,7 +34,7 @@ async def test_legacy_composio_gmail_doc_migrated_in_db( content="legacy content", content_hash=f"ch-{legacy_hash[:12]}", unique_identifier_hash=legacy_hash, - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, embedding=[0.1] * _EMBEDDING_DIM, status={"state": "ready"}, @@ -46,7 +46,7 @@ async def test_legacy_composio_gmail_doc_migrated_in_db( connector_doc = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id=unique_id, - search_space_id=space_id, + workspace_id=space_id, ) service = IndexingPipelineService(session=db_session) @@ -59,33 +59,31 @@ async def test_legacy_composio_gmail_doc_migrated_in_db( assert reloaded.document_type == DocumentType.GOOGLE_GMAIL_CONNECTOR -async def test_no_legacy_doc_is_noop( - db_session, db_search_space, make_connector_document -): +async def test_no_legacy_doc_is_noop(db_session, db_workspace, make_connector_document): """When no legacy document exists, migrate_legacy_docs does nothing.""" connector_doc = make_connector_document( document_type=DocumentType.GOOGLE_CALENDAR_CONNECTOR, unique_id="evt-no-legacy", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) service = IndexingPipelineService(session=db_session) await service.migrate_legacy_docs([connector_doc]) result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) assert result.scalars().all() == [] async def test_non_google_type_is_skipped( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """migrate_legacy_docs skips ConnectorDocuments that are not Google types.""" connector_doc = make_connector_document( document_type=DocumentType.CLICKUP_CONNECTOR, unique_id="task-1", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) service = IndexingPipelineService(session=db_session) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_onedrive_pipeline.py b/surfsense_backend/tests/integration/indexing_pipeline/test_onedrive_pipeline.py index e368ec256..a5000e197 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_onedrive_pipeline.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_onedrive_pipeline.py @@ -14,14 +14,14 @@ pytestmark = pytest.mark.integration def _onedrive_doc( - *, unique_id: str, search_space_id: int, connector_id: int, user_id: str + *, unique_id: str, workspace_id: int, connector_id: int, user_id: str ) -> ConnectorDocument: return ConnectorDocument( title=f"File {unique_id}.docx", source_markdown=f"## Document\n\nContent from {unique_id}", unique_id=unique_id, document_type=DocumentType.ONEDRIVE_FILE, - search_space_id=search_space_id, + workspace_id=workspace_id, connector_id=connector_id, created_by_id=user_id, metadata={ @@ -34,13 +34,13 @@ def _onedrive_doc( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_onedrive_pipeline_creates_ready_document( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """A OneDrive ConnectorDocument flows through prepare + index to a READY document.""" - space_id = db_search_space.id + space_id = db_workspace.id doc = _onedrive_doc( unique_id="od-file-abc", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=str(db_user.id), ) @@ -52,7 +52,7 @@ async def test_onedrive_pipeline_creates_ready_document( await service.index(prepared[0], doc) result = await db_session.execute( - select(Document).filter(Document.search_space_id == space_id) + select(Document).filter(Document.workspace_id == space_id) ) row = result.scalars().first() @@ -63,15 +63,15 @@ async def test_onedrive_pipeline_creates_ready_document( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_onedrive_duplicate_content_skipped( - db_session, db_search_space, db_connector, db_user, mocker + db_session, db_workspace, db_connector, db_user, mocker ): """Re-indexing a OneDrive doc with the same content is skipped (content hash match).""" - space_id = db_search_space.id + space_id = db_workspace.id user_id = str(db_user.id) doc = _onedrive_doc( unique_id="od-dup-file", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=user_id, ) @@ -83,13 +83,13 @@ async def test_onedrive_duplicate_content_skipped( await service.index(prepared[0], doc) result = await db_session.execute( - select(Document).filter(Document.search_space_id == space_id) + select(Document).filter(Document.workspace_id == space_id) ) first_doc = result.scalars().first() assert first_doc is not None doc2 = _onedrive_doc( unique_id="od-dup-file", - search_space_id=space_id, + workspace_id=space_id, connector_id=db_connector.id, user_id=user_id, ) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_prepare_for_indexing.py b/surfsense_backend/tests/integration/indexing_pipeline/test_prepare_for_indexing.py index 4b6662fc8..70d1d7a24 100644 --- a/surfsense_backend/tests/integration/indexing_pipeline/test_prepare_for_indexing.py +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_prepare_for_indexing.py @@ -11,10 +11,10 @@ pytestmark = pytest.mark.integration async def test_new_document_is_persisted_with_pending_status( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """A new document is created in the DB with PENDING status and correct markdown.""" - doc = make_connector_document(search_space_id=db_search_space.id) + doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) results = await service.prepare_for_indexing([doc]) @@ -35,12 +35,12 @@ async def test_new_document_is_persisted_with_pending_status( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_unchanged_ready_document_is_skipped( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """A READY document with unchanged content is not returned for re-indexing.""" - doc = make_connector_document(search_space_id=db_search_space.id) + doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) # Index fully so the document reaches ready state @@ -56,13 +56,13 @@ async def test_unchanged_ready_document_is_skipped( @pytest.mark.usefixtures("patched_embed_texts", "patched_chunk_text") async def test_title_only_change_updates_title_in_db( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """A title-only change updates the DB title without re-queuing the document.""" original = make_connector_document( - search_space_id=db_search_space.id, title="Original Title" + workspace_id=db_workspace.id, title="Original Title" ) service = IndexingPipelineService(session=db_session) @@ -71,7 +71,7 @@ async def test_title_only_change_updates_title_in_db( await service.index(prepared[0], original) renamed = make_connector_document( - search_space_id=db_search_space.id, title="Updated Title" + workspace_id=db_workspace.id, title="Updated Title" ) results = await service.prepare_for_indexing([renamed]) @@ -86,11 +86,11 @@ async def test_title_only_change_updates_title_in_db( async def test_changed_content_is_returned_for_reprocessing( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """A document with changed content is returned for re-indexing with updated markdown.""" original = make_connector_document( - search_space_id=db_search_space.id, source_markdown="## v1" + workspace_id=db_workspace.id, source_markdown="## v1" ) service = IndexingPipelineService(session=db_session) @@ -98,7 +98,7 @@ async def test_changed_content_is_returned_for_reprocessing( original_id = first[0].id updated = make_connector_document( - search_space_id=db_search_space.id, source_markdown="## v2" + workspace_id=db_workspace.id, source_markdown="## v2" ) results = await service.prepare_for_indexing([updated]) @@ -115,24 +115,24 @@ async def test_changed_content_is_returned_for_reprocessing( async def test_all_documents_in_batch_are_persisted( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """All documents in a batch are persisted and returned.""" docs = [ make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="id-1", title="Doc 1", source_markdown="## Content 1", ), make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="id-2", title="Doc 2", source_markdown="## Content 2", ), make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="id-3", title="Doc 3", source_markdown="## Content 3", @@ -145,7 +145,7 @@ async def test_all_documents_in_batch_are_persisted( assert len(results) == 3 result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) rows = result.scalars().all() @@ -153,10 +153,10 @@ async def test_all_documents_in_batch_are_persisted( async def test_duplicate_in_batch_is_persisted_once( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """The same document passed twice in a batch is only persisted once.""" - doc = make_connector_document(search_space_id=db_search_space.id) + doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) results = await service.prepare_for_indexing([doc, doc]) @@ -164,7 +164,7 @@ async def test_duplicate_in_batch_is_persisted_once( assert len(results) == 1 result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) rows = result.scalars().all() @@ -172,11 +172,11 @@ async def test_duplicate_in_batch_is_persisted_once( async def test_created_by_id_is_persisted( - db_session, db_user, db_search_space, make_connector_document + db_session, db_user, db_workspace, make_connector_document ): """created_by_id from the connector document is persisted on the DB row.""" doc = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, created_by_id=str(db_user.id), ) service = IndexingPipelineService(session=db_session) @@ -193,11 +193,11 @@ async def test_created_by_id_is_persisted( async def test_metadata_is_updated_when_content_changes( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """document_metadata is overwritten with the latest metadata when content changes.""" original = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="## v1", metadata={"status": "in_progress"}, ) @@ -207,7 +207,7 @@ async def test_metadata_is_updated_when_content_changes( document_id = first[0].id updated = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, source_markdown="## v2", metadata={"status": "done"}, ) @@ -222,12 +222,10 @@ async def test_metadata_is_updated_when_content_changes( async def test_updated_at_advances_when_title_only_changes( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """updated_at advances even when only the title changes.""" - original = make_connector_document( - search_space_id=db_search_space.id, title="Old Title" - ) + original = make_connector_document(workspace_id=db_workspace.id, title="Old Title") service = IndexingPipelineService(session=db_session) first = await service.prepare_for_indexing([original]) @@ -238,9 +236,7 @@ async def test_updated_at_advances_when_title_only_changes( ) updated_at_v1 = result.scalars().first().updated_at - renamed = make_connector_document( - search_space_id=db_search_space.id, title="New Title" - ) + renamed = make_connector_document(workspace_id=db_workspace.id, title="New Title") await service.prepare_for_indexing([renamed]) result = await db_session.execute( @@ -252,11 +248,11 @@ async def test_updated_at_advances_when_title_only_changes( async def test_updated_at_advances_when_content_changes( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """updated_at advances when document content changes.""" original = make_connector_document( - search_space_id=db_search_space.id, source_markdown="## v1" + workspace_id=db_workspace.id, source_markdown="## v1" ) service = IndexingPipelineService(session=db_session) @@ -269,7 +265,7 @@ async def test_updated_at_advances_when_content_changes( updated_at_v1 = result.scalars().first().updated_at updated = make_connector_document( - search_space_id=db_search_space.id, source_markdown="## v2" + workspace_id=db_workspace.id, source_markdown="## v2" ) await service.prepare_for_indexing([updated]) @@ -282,16 +278,16 @@ async def test_updated_at_advances_when_content_changes( async def test_same_content_from_different_source_skipped_in_single_batch( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """Two documents with identical content in the same batch result in only one being persisted.""" first = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="source-a", source_markdown="## Shared content", ) second = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="source-b", source_markdown="## Shared content", ) @@ -302,22 +298,22 @@ async def test_same_content_from_different_source_skipped_in_single_batch( assert len(results) == 1 result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) assert len(result.scalars().all()) == 1 async def test_same_content_from_different_source_is_skipped( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """A document with content identical to an already-indexed document is skipped.""" first = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="source-a", source_markdown="## Shared content", ) second = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="source-b", source_markdown="## Shared content", ) @@ -329,7 +325,7 @@ async def test_same_content_from_different_source_is_skipped( assert results == [] result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) assert len(result.scalars().all()) == 1 @@ -337,12 +333,12 @@ async def test_same_content_from_different_source_is_skipped( @pytest.mark.usefixtures("patched_embed_texts_raises", "patched_chunk_text") async def test_failed_document_with_unchanged_content_is_requeued( db_session, - db_search_space, + db_workspace, make_connector_document, mocker, ): """A FAILED document with unchanged content is re-queued as PENDING on the next run.""" - doc = make_connector_document(search_space_id=db_search_space.id) + doc = make_connector_document(workspace_id=db_workspace.id) service = IndexingPipelineService(session=db_session) # First run: document is created and indexing crashes, so status becomes failed. @@ -372,11 +368,11 @@ async def test_failed_document_with_unchanged_content_is_requeued( async def test_title_and_content_change_updates_both_and_returns_document( - db_session, db_search_space, make_connector_document + db_session, db_workspace, make_connector_document ): """When both title and content change, both are updated and the document is returned for re-indexing.""" original = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Original Title", source_markdown="## v1", ) @@ -386,7 +382,7 @@ async def test_title_and_content_change_updates_both_and_returns_document( original_id = first[0].id updated = make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, title="Updated Title", source_markdown="## v2", ) @@ -406,7 +402,7 @@ async def test_title_and_content_change_updates_both_and_returns_document( async def test_one_bad_document_in_batch_does_not_prevent_others_from_being_persisted( db_session, - db_search_space, + db_workspace, make_connector_document, monkeypatch, ): @@ -416,17 +412,17 @@ async def test_one_bad_document_in_batch_does_not_prevent_others_from_being_pers """ docs = [ make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="good-1", source_markdown="## Good doc 1", ), make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="will-fail", source_markdown="## Bad doc", ), make_connector_document( - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, unique_id="good-2", source_markdown="## Good doc 2", ), @@ -448,6 +444,6 @@ async def test_one_bad_document_in_batch_does_not_prevent_others_from_being_pers assert len(results) == 2 result = await db_session.execute( - select(Document).filter(Document.search_space_id == db_search_space.id) + select(Document).filter(Document.workspace_id == db_workspace.id) ) assert len(result.scalars().all()) == 2 diff --git a/surfsense_backend/tests/integration/notifications/test_base_handler.py b/surfsense_backend/tests/integration/notifications/test_base_handler.py index ef7d9ee6c..56092d19a 100644 --- a/surfsense_backend/tests/integration/notifications/test_base_handler.py +++ b/surfsense_backend/tests/integration/notifications/test_base_handler.py @@ -1,7 +1,7 @@ """Behavior guard for the shared find/upsert/update logic (BaseNotificationHandler). Uses the connector-indexing handler instance to drive the base methods against -real Postgres, pinning upsert dedup, search-space scoping, and status stamping. +real Postgres, pinning upsert dedup, workspace scoping, and status stamping. """ from __future__ import annotations @@ -10,7 +10,7 @@ import pytest from sqlalchemy import func, select from sqlalchemy.ext.asyncio import AsyncSession -from app.db import SearchSpace, User +from app.db import User, Workspace from app.notifications.persistence import Notification from app.notifications.service import NotificationService @@ -22,7 +22,7 @@ handler = NotificationService.connector_indexing async def test_find_or_create_creates_with_progress_metadata( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """Creating a notification seeds operation id, in-progress status, and start time.""" notification = await handler.find_or_create_notification( @@ -31,7 +31,7 @@ async def test_find_or_create_creates_with_progress_metadata( operation_id="op-create", title="Title", message="Message", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) assert notification.notification_metadata["operation_id"] == "op-create" @@ -42,7 +42,7 @@ async def test_find_or_create_creates_with_progress_metadata( async def test_find_or_create_upserts_same_operation( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """Reusing an operation id updates the same row instead of creating a duplicate.""" first = await handler.find_or_create_notification( @@ -51,7 +51,7 @@ async def test_find_or_create_upserts_same_operation( operation_id="op-upsert", title="First", message="First message", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) second = await handler.find_or_create_notification( @@ -60,7 +60,7 @@ async def test_find_or_create_upserts_same_operation( operation_id="op-upsert", title="Second", message="Second message", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) assert second.id == first.id @@ -76,22 +76,22 @@ async def test_find_or_create_upserts_same_operation( assert count == 1 -async def test_find_by_operation_is_scoped_to_search_space( +async def test_find_by_operation_is_scoped_to_workspace( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - """Operation-id lookup is scoped per search space, so other spaces don't match.""" + """Operation-id lookup is scoped per workspace, so other spaces don't match.""" await handler.find_or_create_notification( session=db_session, user_id=db_user.id, operation_id="op-scoped", title="Title", message="Message", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) - other_space = SearchSpace(name="Other Space", user_id=db_user.id) + other_space = Workspace(name="Other Space", user_id=db_user.id) db_session.add(other_space) await db_session.flush() @@ -99,7 +99,7 @@ async def test_find_by_operation_is_scoped_to_search_space( session=db_session, user_id=db_user.id, operation_id="op-scoped", - search_space_id=other_space.id, + workspace_id=other_space.id, ) assert found_other is None @@ -107,7 +107,7 @@ async def test_find_by_operation_is_scoped_to_search_space( session=db_session, user_id=db_user.id, operation_id="op-scoped", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) assert found_same is not None @@ -115,7 +115,7 @@ async def test_find_by_operation_is_scoped_to_search_space( async def test_update_notification_completed_stamps_completed_at( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """Completing a notification stamps completed_at and merges metadata updates.""" notification = await handler.find_or_create_notification( @@ -124,7 +124,7 @@ async def test_update_notification_completed_stamps_completed_at( operation_id="op-complete", title="Title", message="Message", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) updated = await handler.update_notification( @@ -142,7 +142,7 @@ async def test_update_notification_completed_stamps_completed_at( async def test_update_notification_failed_stamps_completed_at( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """Failing a notification also stamps completed_at for the terminal state.""" notification = await handler.find_or_create_notification( @@ -151,7 +151,7 @@ async def test_update_notification_failed_stamps_completed_at( operation_id="op-fail", title="Title", message="Message", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) updated = await handler.update_notification( diff --git a/surfsense_backend/tests/integration/notifications/test_comment_reply_handler.py b/surfsense_backend/tests/integration/notifications/test_comment_reply_handler.py index 894f036f0..50d85ad5f 100644 --- a/surfsense_backend/tests/integration/notifications/test_comment_reply_handler.py +++ b/surfsense_backend/tests/integration/notifications/test_comment_reply_handler.py @@ -5,7 +5,7 @@ from __future__ import annotations import pytest from sqlalchemy.ext.asyncio import AsyncSession -from app.db import SearchSpace, User +from app.db import User, Workspace from app.notifications.service import NotificationService pytestmark = pytest.mark.integration @@ -13,7 +13,7 @@ pytestmark = pytest.mark.integration handler = NotificationService.comment_reply -async def _notify(db_session, db_user, db_search_space, *, reply_id=1, preview="hi"): +async def _notify(db_session, db_user, db_workspace, *, reply_id=1, preview="hi"): """Raise a comment-reply notification for the assertions in the tests below.""" return await handler.notify_comment_reply( session=db_session, @@ -28,15 +28,15 @@ async def _notify(db_session, db_user, db_search_space, *, reply_id=1, preview=" author_avatar_url=None, author_email="bob@surfsense.net", content_preview=preview, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) async def test_comment_reply_title_and_message( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """A reply notification names the author and carries the comment preview.""" - notification = await _notify(db_session, db_user, db_search_space, preview="thanks") + notification = await _notify(db_session, db_user, db_workspace, preview="thanks") assert notification.type == "comment_reply" assert notification.title == "Bob replied in a thread" @@ -44,21 +44,19 @@ async def test_comment_reply_title_and_message( async def test_comment_reply_truncates_long_preview( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """A long comment preview is truncated in the reply message.""" - notification = await _notify( - db_session, db_user, db_search_space, preview="y" * 150 - ) + notification = await _notify(db_session, db_user, db_workspace, preview="y" * 150) assert notification.message == "y" * 100 + "..." async def test_comment_reply_is_idempotent( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """Re-notifying the same reply id reuses the existing notification row.""" - first = await _notify(db_session, db_user, db_search_space, reply_id=5) - second = await _notify(db_session, db_user, db_search_space, reply_id=5) + first = await _notify(db_session, db_user, db_workspace, reply_id=5) + second = await _notify(db_session, db_user, db_workspace, reply_id=5) assert second.id == first.id diff --git a/surfsense_backend/tests/integration/notifications/test_connector_indexing_handler.py b/surfsense_backend/tests/integration/notifications/test_connector_indexing_handler.py index a882716b9..b3629ca70 100644 --- a/surfsense_backend/tests/integration/notifications/test_connector_indexing_handler.py +++ b/surfsense_backend/tests/integration/notifications/test_connector_indexing_handler.py @@ -10,7 +10,7 @@ from __future__ import annotations import pytest from sqlalchemy.ext.asyncio import AsyncSession -from app.db import SearchSpace, User +from app.db import User, Workspace from app.notifications.service import NotificationService pytestmark = pytest.mark.integration @@ -19,7 +19,7 @@ pytestmark = pytest.mark.integration async def test_indexing_started_opens_notification( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """Starting indexing opens an unread notification with connecting-stage metadata.""" notification = await NotificationService.connector_indexing.notify_indexing_started( @@ -28,7 +28,7 @@ async def test_indexing_started_opens_notification( connector_id=42, connector_name="Notion - My Workspace", connector_type="NOTION_CONNECTOR", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) assert notification.id is not None @@ -50,7 +50,7 @@ async def test_indexing_started_opens_notification( async def _started( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, *, connector_name: str = "Notion - My Workspace", ): @@ -61,17 +61,17 @@ async def _started( connector_id=42, connector_name=connector_name, connector_type="NOTION_CONNECTOR", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) async def test_indexing_progress_reports_stage_and_percent( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """Progress updates surface the stage message and compute a percent complete.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) updated = await NotificationService.connector_indexing.notify_indexing_progress( session=db_session, @@ -93,10 +93,10 @@ async def test_indexing_progress_reports_stage_and_percent( async def test_indexing_completed_clean_success( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """A clean multi-file sync reports ready/completed with plural wording.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) done = await NotificationService.connector_indexing.notify_indexing_completed( session=db_session, @@ -113,10 +113,10 @@ async def test_indexing_completed_clean_success( async def test_indexing_completed_singular_file( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """A single synced file uses singular 'file' wording.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) done = await NotificationService.connector_indexing.notify_indexing_completed( session=db_session, @@ -130,10 +130,10 @@ async def test_indexing_completed_singular_file( async def test_indexing_completed_nothing_to_sync( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """Completing with nothing new reports 'Already up to date!'.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) done = await NotificationService.connector_indexing.notify_indexing_completed( session=db_session, @@ -149,10 +149,10 @@ async def test_indexing_completed_nothing_to_sync( async def test_indexing_completed_hard_failure( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """An error with nothing synced reports a hard failure.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) done = await NotificationService.connector_indexing.notify_indexing_completed( session=db_session, @@ -170,10 +170,10 @@ async def test_indexing_completed_hard_failure( async def test_indexing_completed_partial_with_error_note( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """An error after partial progress still completes, with an appended note.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) done = await NotificationService.connector_indexing.notify_indexing_completed( session=db_session, @@ -190,10 +190,10 @@ async def test_indexing_completed_partial_with_error_note( async def test_retry_progress_frames_delay_as_providers( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """A retry message frames the delay as the provider's, using its short name.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) retry = await NotificationService.connector_indexing.notify_retry_progress( session=db_session, @@ -214,10 +214,10 @@ async def test_retry_progress_frames_delay_as_providers( async def test_retry_progress_shows_wait_and_synced_count( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): """A retry surfaces the wait time and how many items synced so far.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) retry = await NotificationService.connector_indexing.notify_retry_progress( session=db_session, diff --git a/surfsense_backend/tests/integration/notifications/test_document_processing_handler.py b/surfsense_backend/tests/integration/notifications/test_document_processing_handler.py index 5ca560f11..806c6d331 100644 --- a/surfsense_backend/tests/integration/notifications/test_document_processing_handler.py +++ b/surfsense_backend/tests/integration/notifications/test_document_processing_handler.py @@ -5,7 +5,7 @@ from __future__ import annotations import pytest from sqlalchemy.ext.asyncio import AsyncSession -from app.db import SearchSpace, User +from app.db import User, Workspace from app.notifications.service import NotificationService pytestmark = pytest.mark.integration @@ -13,22 +13,22 @@ pytestmark = pytest.mark.integration handler = NotificationService.document_processing -async def _started(db_session, db_user, db_search_space, *, name="report.pdf"): +async def _started(db_session, db_user, db_workspace, *, name="report.pdf"): """Open a document-processing notification to update in the tests below.""" return await handler.notify_processing_started( session=db_session, user_id=db_user.id, document_type="FILE", document_name=name, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) async def test_processing_started_queues( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """Starting processing queues a notification in the 'queued' stage.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) assert notification.type == "document_processing" assert notification.title == "Processing: report.pdf" @@ -37,10 +37,10 @@ async def test_processing_started_queues( async def test_processing_progress_maps_stage( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """A progress update maps the stage to its user-facing message.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) updated = await handler.notify_processing_progress( session=db_session, notification=notification, stage="parsing" @@ -51,10 +51,10 @@ async def test_processing_progress_maps_stage( async def test_processing_completed_success( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """Successful processing reports ready/searchable and a completed status.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) done = await handler.notify_processing_completed( session=db_session, notification=notification, document_id=99 @@ -66,10 +66,10 @@ async def test_processing_completed_success( async def test_processing_completed_failure( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """Failed processing reports a failed status with the error in the message.""" - notification = await _started(db_session, db_user, db_search_space) + notification = await _started(db_session, db_user, db_workspace) done = await handler.notify_processing_completed( session=db_session, notification=notification, error_message="bad file" @@ -81,7 +81,7 @@ async def test_processing_completed_failure( async def test_processing_started_truncates_long_filename( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """A long filename is truncated in the title but kept in metadata.""" long_name = "a" * 250 @@ -91,7 +91,7 @@ async def test_processing_started_truncates_long_filename( user_id=db_user.id, document_type="FILE", document_name=long_name, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) assert len(notification.title) <= 200 diff --git a/surfsense_backend/tests/integration/notifications/test_inbox_api.py b/surfsense_backend/tests/integration/notifications/test_inbox_api.py index 524a0ba60..4ab481754 100644 --- a/surfsense_backend/tests/integration/notifications/test_inbox_api.py +++ b/surfsense_backend/tests/integration/notifications/test_inbox_api.py @@ -28,14 +28,14 @@ async def _seed( title: str = "Title", message: str = "Message", read: bool = False, - search_space_id: int | None = None, + workspace_id: int | None = None, metadata: dict | None = None, created_at: datetime | None = None, ) -> Notification: """Insert a notification row directly for the API tests to read back.""" notification = Notification( user_id=user.id, - search_space_id=search_space_id, + workspace_id=workspace_id, type=type, title=title, message=message, diff --git a/surfsense_backend/tests/integration/notifications/test_insufficient_credits_handler.py b/surfsense_backend/tests/integration/notifications/test_insufficient_credits_handler.py index bdfa1b30c..2c1ec32a8 100644 --- a/surfsense_backend/tests/integration/notifications/test_insufficient_credits_handler.py +++ b/surfsense_backend/tests/integration/notifications/test_insufficient_credits_handler.py @@ -5,7 +5,7 @@ from __future__ import annotations import pytest from sqlalchemy.ext.asyncio import AsyncSession -from app.db import SearchSpace, User +from app.db import User, Workspace from app.notifications.service import NotificationService pytestmark = pytest.mark.integration @@ -14,7 +14,7 @@ handler = NotificationService.insufficient_credits async def test_insufficient_credits_message_and_action( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """An insufficient-credits notification states cost and carries a buy-credits link.""" notification = await handler.notify_insufficient_credits( @@ -22,7 +22,7 @@ async def test_insufficient_credits_message_and_action( user_id=db_user.id, document_name="short.pdf", document_type="FILE", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, balance_micros=250_000, required_micros=1_000_000, ) @@ -36,12 +36,12 @@ async def test_insufficient_credits_message_and_action( assert notification.notification_metadata["status"] == "failed" assert notification.notification_metadata["action_label"] == "Buy credits" assert notification.notification_metadata["action_url"] == ( - f"/dashboard/{db_search_space.id}/buy-more" + f"/dashboard/{db_workspace.id}/buy-more" ) async def test_insufficient_credits_truncates_long_name( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """A long document name is truncated in the notification title.""" long_name = "a" * 50 @@ -51,7 +51,7 @@ async def test_insufficient_credits_truncates_long_name( user_id=db_user.id, document_name=long_name, document_type="FILE", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, balance_micros=250_000, required_micros=1_000_000, ) diff --git a/surfsense_backend/tests/integration/notifications/test_mention_handler.py b/surfsense_backend/tests/integration/notifications/test_mention_handler.py index 3254d737c..59bb5c1ad 100644 --- a/surfsense_backend/tests/integration/notifications/test_mention_handler.py +++ b/surfsense_backend/tests/integration/notifications/test_mention_handler.py @@ -5,7 +5,7 @@ from __future__ import annotations import pytest from sqlalchemy.ext.asyncio import AsyncSession -from app.db import SearchSpace, User +from app.db import User, Workspace from app.notifications.service import NotificationService pytestmark = pytest.mark.integration @@ -13,7 +13,7 @@ pytestmark = pytest.mark.integration handler = NotificationService.mention -async def _notify(db_session, db_user, db_search_space, *, mention_id=1, preview="hi"): +async def _notify(db_session, db_user, db_workspace, *, mention_id=1, preview="hi"): """Raise an @mention notification for the assertions in the tests below.""" return await handler.notify_new_mention( session=db_session, @@ -28,15 +28,15 @@ async def _notify(db_session, db_user, db_search_space, *, mention_id=1, preview author_avatar_url=None, author_email="alice@surfsense.net", content_preview=preview, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, ) async def test_new_mention_title_and_message( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """A mention notification names the author and carries the comment preview.""" - notification = await _notify(db_session, db_user, db_search_space, preview="hello") + notification = await _notify(db_session, db_user, db_workspace, preview="hello") assert notification.type == "new_mention" assert notification.title == "Alice mentioned you" @@ -44,21 +44,19 @@ async def test_new_mention_title_and_message( async def test_new_mention_truncates_long_preview( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """A long comment preview is truncated in the mention message.""" - notification = await _notify( - db_session, db_user, db_search_space, preview="x" * 150 - ) + notification = await _notify(db_session, db_user, db_workspace, preview="x" * 150) assert notification.message == "x" * 100 + "..." async def test_new_mention_is_idempotent( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """Re-notifying the same mention id reuses the existing notification row.""" - first = await _notify(db_session, db_user, db_search_space, mention_id=7) - second = await _notify(db_session, db_user, db_search_space, mention_id=7) + first = await _notify(db_session, db_user, db_workspace, mention_id=7) + second = await _notify(db_session, db_user, db_workspace, mention_id=7) assert second.id == first.id diff --git a/surfsense_backend/tests/integration/podcasts/conftest.py b/surfsense_backend/tests/integration/podcasts/conftest.py index 067924ad5..5f29d9d3c 100644 --- a/surfsense_backend/tests/integration/podcasts/conftest.py +++ b/surfsense_backend/tests/integration/podcasts/conftest.py @@ -26,7 +26,7 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.app import app, limiter from app.auth.context import AuthContext from app.config import config as app_config -from app.db import SearchSpace, User, get_async_session +from app.db import User, Workspace, get_async_session from app.podcasts.persistence import Podcast, PodcastStatus from app.podcasts.schemas import ( DurationTarget, @@ -39,7 +39,7 @@ from app.podcasts.schemas import ( ) from app.podcasts.service import PodcastService from app.podcasts.tts import SynthesisRequest, SynthesizedAudio, TextToSpeech -from app.routes.search_spaces_routes import create_default_roles_and_membership +from app.routes.workspaces_routes import create_default_roles_and_membership from app.users import get_auth_context pytestmark = pytest.mark.integration @@ -248,14 +248,14 @@ def make_podcast(db_session: AsyncSession): async def _make( *, - search_space_id: int, + workspace_id: int, status: PodcastStatus = PodcastStatus.AWAITING_BRIEF, title: str = "Test Podcast", thread_id: int | None = None, ) -> Podcast: service = PodcastService(db_session) podcast = await service.create( - title=title, search_space_id=search_space_id, thread_id=thread_id + title=title, workspace_id=workspace_id, thread_id=thread_id ) if status is PodcastStatus.PENDING: await db_session.flush() @@ -298,7 +298,7 @@ def act_as(): @pytest_asyncio.fixture async def db_other_user(db_session: AsyncSession) -> User: - """A second user who is not a member of ``db_search_space``.""" + """A second user who is not a member of ``db_workspace``.""" user = User( id=uuid.uuid4(), email="stranger@surfsense.net", @@ -317,9 +317,9 @@ async def foreign_podcast( db_session: AsyncSession, db_other_user: User, make_podcast ) -> Podcast: """A podcast in a space owned by the other user, invisible to db_user.""" - space = SearchSpace(name="Stranger Space", user_id=db_other_user.id) + space = Workspace(name="Stranger Space", user_id=db_other_user.id) db_session.add(space) await db_session.flush() await create_default_roles_and_membership(db_session, space.id, db_other_user.id) await db_session.flush() - return await make_podcast(search_space_id=space.id, title="Foreign") + return await make_podcast(workspace_id=space.id, title="Foreign") diff --git a/surfsense_backend/tests/integration/podcasts/test_brief_gate.py b/surfsense_backend/tests/integration/podcasts/test_brief_gate.py index 46d97172d..752e1a043 100644 --- a/surfsense_backend/tests/integration/podcasts/test_brief_gate.py +++ b/surfsense_backend/tests/integration/podcasts/test_brief_gate.py @@ -14,12 +14,12 @@ pytestmark = pytest.mark.integration BASE = "/api/v1/podcasts" -async def _create(client, search_space_id: int) -> dict: +async def _create(client, workspace_id: int) -> dict: resp = await client.post( BASE, json={ "title": "Episode", - "search_space_id": search_space_id, + "workspace_id": workspace_id, "source_content": "Source content.", }, ) @@ -28,20 +28,20 @@ async def _create(client, search_space_id: int) -> dict: async def test_approve_brief_starts_drafting_and_enqueues_draft( - client, db_search_space, captured_tasks + client, db_workspace, captured_tasks ): - podcast = await _create(client, db_search_space.id) + podcast = await _create(client, db_workspace.id) resp = await client.post(f"{BASE}/{podcast['id']}/brief/approve") assert resp.status_code == 200 assert resp.json()["status"] == "drafting" - assert captured_tasks.draft == [((podcast["id"], db_search_space.id), {})] + assert captured_tasks.draft == [((podcast["id"], db_workspace.id), {})] assert captured_tasks.render == [] -async def test_update_spec_bumps_version_and_persists(client, db_search_space): - podcast = await _create(client, db_search_space.id) +async def test_update_spec_bumps_version_and_persists(client, db_workspace): + podcast = await _create(client, db_workspace.id) spec = podcast["spec"] spec["focus"] = "A sharper angle" @@ -57,8 +57,8 @@ async def test_update_spec_bumps_version_and_persists(client, db_search_space): assert body["status"] == "awaiting_brief" -async def test_update_spec_with_stale_version_conflicts(client, db_search_space): - podcast = await _create(client, db_search_space.id) +async def test_update_spec_with_stale_version_conflicts(client, db_workspace): + podcast = await _create(client, db_workspace.id) resp = await client.patch( f"{BASE}/{podcast['id']}/spec", @@ -68,8 +68,8 @@ async def test_update_spec_with_stale_version_conflicts(client, db_search_space) assert resp.status_code == 409 -async def test_update_spec_after_approval_is_rejected(client, db_search_space): - podcast = await _create(client, db_search_space.id) +async def test_update_spec_after_approval_is_rejected(client, db_workspace): + podcast = await _create(client, db_workspace.id) await client.post(f"{BASE}/{podcast['id']}/brief/approve") resp = await client.patch( diff --git a/surfsense_backend/tests/integration/podcasts/test_cancel.py b/surfsense_backend/tests/integration/podcasts/test_cancel.py index 4fe4cfc55..33daeef28 100644 --- a/surfsense_backend/tests/integration/podcasts/test_cancel.py +++ b/surfsense_backend/tests/integration/podcasts/test_cancel.py @@ -15,9 +15,9 @@ pytestmark = pytest.mark.integration BASE = "/api/v1/podcasts" -async def test_cancel_from_a_live_state_succeeds(client, db_search_space, make_podcast): +async def test_cancel_from_a_live_state_succeeds(client, db_workspace, make_podcast): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.AWAITING_BRIEF + workspace_id=db_workspace.id, status=PodcastStatus.AWAITING_BRIEF ) resp = await client.post(f"{BASE}/{podcast.id}/cancel") @@ -27,10 +27,10 @@ async def test_cancel_from_a_live_state_succeeds(client, db_search_space, make_p async def test_cancel_from_a_terminal_state_conflicts( - client, db_search_space, make_podcast + client, db_workspace, make_podcast ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) resp = await client.post(f"{BASE}/{podcast.id}/cancel") @@ -38,13 +38,11 @@ async def test_cancel_from_a_terminal_state_conflicts( assert resp.status_code == 409 -async def test_cancel_of_a_regeneration_is_rejected( - client, db_search_space, make_podcast -): +async def test_cancel_of_a_regeneration_is_rejected(client, db_workspace, make_podcast): # Cancelling here would destroy a playable episode; reverting the # regeneration is the way back. podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) await client.post(f"{BASE}/{podcast.id}/transcript/regenerate") diff --git a/surfsense_backend/tests/integration/podcasts/test_create.py b/surfsense_backend/tests/integration/podcasts/test_create.py index 19b5aeca2..fcac1148d 100644 --- a/surfsense_backend/tests/integration/podcasts/test_create.py +++ b/surfsense_backend/tests/integration/podcasts/test_create.py @@ -14,12 +14,12 @@ pytestmark = pytest.mark.integration BASE = "/api/v1/podcasts" -async def test_create_proposes_brief_and_opens_gate(client, db_search_space): +async def test_create_proposes_brief_and_opens_gate(client, db_workspace): resp = await client.post( BASE, json={ "title": "My Episode", - "search_space_id": db_search_space.id, + "workspace_id": db_workspace.id, "source_content": "A long piece of source content about a topic.", }, ) @@ -36,12 +36,12 @@ async def test_create_proposes_brief_and_opens_gate(client, db_search_space): assert body["has_audio"] is False -async def test_create_honors_requested_speaker_count(client, db_search_space): +async def test_create_honors_requested_speaker_count(client, db_workspace): resp = await client.post( BASE, json={ "title": "Solo", - "search_space_id": db_search_space.id, + "workspace_id": db_workspace.id, "source_content": "Content.", "speaker_count": 3, }, diff --git a/surfsense_backend/tests/integration/podcasts/test_draft_task.py b/surfsense_backend/tests/integration/podcasts/test_draft_task.py index 014d98b1f..dd43b3656 100644 --- a/surfsense_backend/tests/integration/podcasts/test_draft_task.py +++ b/surfsense_backend/tests/integration/podcasts/test_draft_task.py @@ -33,22 +33,22 @@ pytestmark = pytest.mark.integration def _wire_billing(monkeypatch, *, billable_call, transcript=None) -> None: """Replace the billing + LLM externals the draft body reaches for.""" - async def _resolver(_session, _search_space_id, *, thread_id=None): + async def _resolver(_session, _workspace_id, *, thread_id=None): return uuid4(), "free", "openrouter/model" async def _ainvoke(_state, config=None): return {"transcript": transcript} - monkeypatch.setattr(draft, "_resolve_agent_billing_for_search_space", _resolver) + monkeypatch.setattr(draft, "_resolve_agent_billing_for_workspace", _resolver) monkeypatch.setattr(draft, "billable_call", billable_call) monkeypatch.setattr(draft, "transcript_graph", SimpleNamespace(ainvoke=_ainvoke)) async def test_successful_draft_stores_transcript_and_starts_rendering( - monkeypatch, db_search_space, make_podcast, bind_task_session, captured_tasks + monkeypatch, db_workspace, make_podcast, bind_task_session, captured_tasks ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.DRAFTING + workspace_id=db_workspace.id, status=PodcastStatus.DRAFTING ) @asynccontextmanager @@ -57,7 +57,7 @@ async def test_successful_draft_stores_transcript_and_starts_rendering( _wire_billing(monkeypatch, billable_call=_ok, transcript=build_transcript()) - result = await draft._draft_transcript(podcast.id, db_search_space.id) + result = await draft._draft_transcript(podcast.id, db_workspace.id) assert result["status"] == "rendering" assert podcast.status == PodcastStatus.RENDERING @@ -66,10 +66,10 @@ async def test_successful_draft_stores_transcript_and_starts_rendering( async def test_quota_denial_fails_the_podcast_without_a_transcript( - monkeypatch, db_search_space, make_podcast, bind_task_session + monkeypatch, db_workspace, make_podcast, bind_task_session ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.DRAFTING + workspace_id=db_workspace.id, status=PodcastStatus.DRAFTING ) @asynccontextmanager @@ -83,7 +83,7 @@ async def test_quota_denial_fails_the_podcast_without_a_transcript( _wire_billing(monkeypatch, billable_call=_deny) - result = await draft._draft_transcript(podcast.id, db_search_space.id) + result = await draft._draft_transcript(podcast.id, db_workspace.id) assert result["reason"] == "quota" assert podcast.status == PodcastStatus.FAILED @@ -91,10 +91,10 @@ async def test_quota_denial_fails_the_podcast_without_a_transcript( async def test_billing_settlement_failure_fails_the_podcast( - monkeypatch, db_search_space, make_podcast, bind_task_session + monkeypatch, db_workspace, make_podcast, bind_task_session ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.DRAFTING + workspace_id=db_workspace.id, status=PodcastStatus.DRAFTING ) @asynccontextmanager @@ -110,7 +110,7 @@ async def test_billing_settlement_failure_fails_the_podcast( monkeypatch, billable_call=_settlement_fails, transcript=build_transcript() ) - result = await draft._draft_transcript(podcast.id, db_search_space.id) + result = await draft._draft_transcript(podcast.id, db_workspace.id) assert result["reason"] == "billing" assert podcast.status == PodcastStatus.FAILED diff --git a/surfsense_backend/tests/integration/podcasts/test_public_stream.py b/surfsense_backend/tests/integration/podcasts/test_public_stream.py index 63f634234..db08cc828 100644 --- a/surfsense_backend/tests/integration/podcasts/test_public_stream.py +++ b/surfsense_backend/tests/integration/podcasts/test_public_stream.py @@ -12,9 +12,9 @@ from app.db import NewChatThread, PublicChatSnapshot, User pytestmark = pytest.mark.integration -async def _snapshot(db_session, *, search_space_id, user: User, token: str, podcasts): +async def _snapshot(db_session, *, workspace_id, user: User, token: str, podcasts): thread = NewChatThread( - title="Shared", search_space_id=search_space_id, created_by_id=user.id + title="Shared", workspace_id=workspace_id, created_by_id=user.id ) db_session.add(thread) await db_session.flush() @@ -30,11 +30,11 @@ async def _snapshot(db_session, *, search_space_id, user: User, token: str, podc async def test_public_stream_serves_audio_via_storage_key( - client, db_session, db_search_space, db_user, fake_storage + client, db_session, db_workspace, db_user, fake_storage ): await _snapshot( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user=db_user, token="tok-audio", podcasts=[{"original_id": 555, "storage_key": "podcasts/x.mp3"}], @@ -49,11 +49,11 @@ async def test_public_stream_serves_audio_via_storage_key( async def test_public_stream_404_when_object_missing( - client, db_session, db_search_space, db_user, fake_storage + client, db_session, db_workspace, db_user, fake_storage ): await _snapshot( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user=db_user, token="tok-gone", podcasts=[{"original_id": 556, "storage_key": "podcasts/gone.mp3"}], @@ -65,11 +65,11 @@ async def test_public_stream_404_when_object_missing( async def test_public_stream_404_when_podcast_absent_from_snapshot( - client, db_session, db_search_space, db_user + client, db_session, db_workspace, db_user ): await _snapshot( db_session, - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, user=db_user, token="tok-empty", podcasts=[], diff --git a/surfsense_backend/tests/integration/podcasts/test_regeneration.py b/surfsense_backend/tests/integration/podcasts/test_regeneration.py index fd31df4ca..c93bf8dfd 100644 --- a/surfsense_backend/tests/integration/podcasts/test_regeneration.py +++ b/surfsense_backend/tests/integration/podcasts/test_regeneration.py @@ -24,10 +24,10 @@ BASE = "/api/v1/podcasts" async def test_regenerate_from_ready_reopens_the_brief_gate( - client, db_search_space, make_podcast, captured_tasks + client, db_workspace, make_podcast, captured_tasks ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) resp = await client.post(f"{BASE}/{podcast.id}/transcript/regenerate") @@ -43,10 +43,10 @@ async def test_regenerate_from_ready_reopens_the_brief_gate( async def test_approving_the_reopened_brief_starts_a_fresh_draft( - client, db_search_space, make_podcast, captured_tasks + client, db_workspace, make_podcast, captured_tasks ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) await client.post(f"{BASE}/{podcast.id}/transcript/regenerate") @@ -54,15 +54,15 @@ async def test_approving_the_reopened_brief_starts_a_fresh_draft( assert resp.status_code == 200 assert resp.json()["status"] == "drafting" - assert captured_tasks.draft == [((podcast.id, db_search_space.id), {})] + assert captured_tasks.draft == [((podcast.id, db_workspace.id), {})] async def test_regenerate_from_brief_gate_is_rejected( - client, db_search_space, make_podcast, captured_tasks + client, db_workspace, make_podcast, captured_tasks ): # Nothing has been drafted yet, so there is nothing to regenerate. podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.AWAITING_BRIEF + workspace_id=db_workspace.id, status=PodcastStatus.AWAITING_BRIEF ) resp = await client.post(f"{BASE}/{podcast.id}/transcript/regenerate") @@ -72,10 +72,10 @@ async def test_regenerate_from_brief_gate_is_rejected( async def test_regenerate_from_cancelled_is_rejected( - client, db_search_space, make_podcast, captured_tasks + client, db_workspace, make_podcast, captured_tasks ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.AWAITING_BRIEF + workspace_id=db_workspace.id, status=PodcastStatus.AWAITING_BRIEF ) await client.post(f"{BASE}/{podcast.id}/cancel") @@ -86,10 +86,10 @@ async def test_regenerate_from_cancelled_is_rejected( async def test_reverting_a_regeneration_restores_the_ready_episode( - client, db_search_space, make_podcast, captured_tasks + client, db_workspace, make_podcast, captured_tasks ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) await client.post(f"{BASE}/{podcast.id}/transcript/regenerate") @@ -105,12 +105,12 @@ async def test_reverting_a_regeneration_restores_the_ready_episode( async def test_reverting_mid_draft_keeps_the_episode( - client, db_search_space, make_podcast + client, db_workspace, make_podcast ): # Changing one's mind is allowed even after the reopened brief was # approved: the episode survives until a new render replaces it. podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) await client.post(f"{BASE}/{podcast.id}/transcript/regenerate") await client.post(f"{BASE}/{podcast.id}/brief/approve") @@ -122,10 +122,10 @@ async def test_reverting_mid_draft_keeps_the_episode( async def test_reverting_mid_render_keeps_the_episode( - client, db_session, db_search_space, make_podcast + client, db_session, db_workspace, make_podcast ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) service = PodcastService(db_session) await service.regenerate(podcast) @@ -139,12 +139,12 @@ async def test_reverting_mid_render_keeps_the_episode( async def test_reverted_episode_can_be_regenerated_again( - client, db_search_space, make_podcast + client, db_workspace, make_podcast ): # Reverting must not strand the episode: the user can change their mind # again immediately. podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) await client.post(f"{BASE}/{podcast.id}/transcript/regenerate") await client.post(f"{BASE}/{podcast.id}/regenerate/revert") @@ -156,11 +156,11 @@ async def test_reverted_episode_can_be_regenerated_again( async def test_revert_on_a_fresh_brief_gate_is_rejected( - client, db_search_space, make_podcast + client, db_workspace, make_podcast ): # A first-time brief has no regeneration to revert. podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.AWAITING_BRIEF + workspace_id=db_workspace.id, status=PodcastStatus.AWAITING_BRIEF ) resp = await client.post(f"{BASE}/{podcast.id}/regenerate/revert") @@ -170,10 +170,10 @@ async def test_revert_on_a_fresh_brief_gate_is_rejected( async def test_revert_when_nothing_was_regenerated_is_rejected( - client, db_search_space, make_podcast + client, db_workspace, make_podcast ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) resp = await client.post(f"{BASE}/{podcast.id}/regenerate/revert") @@ -182,13 +182,13 @@ async def test_revert_when_nothing_was_regenerated_is_rejected( async def test_regenerate_without_a_brief_is_rejected( - client, db_session, db_search_space, captured_tasks + client, db_session, db_workspace, captured_tasks ): # Legacy episodes finished before briefs existed; reopening a gate with # nothing to review would strand them there. podcast = Podcast( title="Legacy Episode", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, status=PodcastStatus.READY, spec_version=1, file_location="/var/old/podcast.mp3", diff --git a/surfsense_backend/tests/integration/podcasts/test_render_task.py b/surfsense_backend/tests/integration/podcasts/test_render_task.py index 5a97a00c7..8c185e3c2 100644 --- a/surfsense_backend/tests/integration/podcasts/test_render_task.py +++ b/surfsense_backend/tests/integration/podcasts/test_render_task.py @@ -20,10 +20,10 @@ pytestmark = pytest.mark.integration async def test_render_marks_ready_and_stores_audio( - db_search_space, make_podcast, bind_task_session, fake_tts, fake_merge, fake_storage + db_workspace, make_podcast, bind_task_session, fake_tts, fake_merge, fake_storage ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.RENDERING + workspace_id=db_workspace.id, status=PodcastStatus.RENDERING ) result = await render._render_audio(podcast.id) @@ -37,7 +37,7 @@ async def test_render_marks_ready_and_stores_audio( async def test_rerender_replaces_audio_and_purges_the_old_object( db_session, - db_search_space, + db_workspace, make_podcast, bind_task_session, fake_tts, @@ -47,7 +47,7 @@ async def test_rerender_replaces_audio_and_purges_the_old_object( # A regenerated episode keeps exactly one stored object: the new render # must not leak the superseded audio in the object store. podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) old_key = podcast.storage_key fake_storage.objects[old_key] = b"old-audio" @@ -68,7 +68,7 @@ async def test_rerender_replaces_audio_and_purges_the_old_object( async def test_render_losing_to_a_user_revert_keeps_the_episode_and_leaks_nothing( db_session, - db_search_space, + db_workspace, make_podcast, bind_task_session, fake_tts, @@ -79,7 +79,7 @@ async def test_render_losing_to_a_user_revert_keeps_the_episode_and_leaks_nothin # stale render must neither resurrect the redo nor leak the object it # already stored. podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) old_key = podcast.storage_key fake_storage.objects[old_key] = b"old-audio" diff --git a/surfsense_backend/tests/integration/podcasts/test_scoping.py b/surfsense_backend/tests/integration/podcasts/test_scoping.py index 304af6b6e..d5d497091 100644 --- a/surfsense_backend/tests/integration/podcasts/test_scoping.py +++ b/surfsense_backend/tests/integration/podcasts/test_scoping.py @@ -1,4 +1,4 @@ -"""Podcasts are scoped to search-space membership. +"""Podcasts are scoped to workspace membership. A user can only create or read podcasts in spaces they belong to, and an unscoped listing returns only the caller's own podcasts — never another @@ -13,9 +13,9 @@ BASE = "/api/v1/podcasts" async def test_reading_a_podcast_in_a_nonmember_space_is_forbidden( - client, db_search_space, make_podcast, act_as, db_other_user + client, db_workspace, make_podcast, act_as, db_other_user ): - podcast = await make_podcast(search_space_id=db_search_space.id) + podcast = await make_podcast(workspace_id=db_workspace.id) act_as(db_other_user) resp = await client.get(f"{BASE}/{podcast.id}") @@ -24,7 +24,7 @@ async def test_reading_a_podcast_in_a_nonmember_space_is_forbidden( async def test_creating_in_a_nonmember_space_is_forbidden( - client, db_search_space, act_as, db_other_user + client, db_workspace, act_as, db_other_user ): act_as(db_other_user) @@ -32,7 +32,7 @@ async def test_creating_in_a_nonmember_space_is_forbidden( BASE, json={ "title": "X", - "search_space_id": db_search_space.id, + "workspace_id": db_workspace.id, "source_content": "content", }, ) @@ -41,9 +41,9 @@ async def test_creating_in_a_nonmember_space_is_forbidden( async def test_listing_returns_only_the_callers_podcasts( - client, db_search_space, make_podcast, foreign_podcast + client, db_workspace, make_podcast, foreign_podcast ): - mine = await make_podcast(search_space_id=db_search_space.id, title="Mine") + mine = await make_podcast(workspace_id=db_workspace.id, title="Mine") resp = await client.get(BASE) diff --git a/surfsense_backend/tests/integration/podcasts/test_streaming.py b/surfsense_backend/tests/integration/podcasts/test_streaming.py index b924e2971..b8d748c07 100644 --- a/surfsense_backend/tests/integration/podcasts/test_streaming.py +++ b/surfsense_backend/tests/integration/podcasts/test_streaming.py @@ -16,10 +16,10 @@ BASE = "/api/v1/podcasts" async def test_stream_serves_stored_audio( - client, db_search_space, make_podcast, fake_storage + client, db_workspace, make_podcast, fake_storage ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) fake_storage.objects["podcasts/audio.mp3"] = b"the-audio" @@ -30,9 +30,9 @@ async def test_stream_serves_stored_audio( assert resp.content == b"the-audio" -async def test_stream_409_while_in_flight(client, db_search_space, make_podcast): +async def test_stream_409_while_in_flight(client, db_workspace, make_podcast): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.DRAFTING + workspace_id=db_workspace.id, status=PodcastStatus.DRAFTING ) resp = await client.get(f"{BASE}/{podcast.id}/stream") @@ -41,10 +41,10 @@ async def test_stream_409_while_in_flight(client, db_search_space, make_podcast) async def test_stream_404_when_object_missing( - client, db_search_space, make_podcast, fake_storage + client, db_workspace, make_podcast, fake_storage ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) resp = await client.get(f"{BASE}/{podcast.id}/stream") diff --git a/surfsense_backend/tests/integration/podcasts/test_task_failure.py b/surfsense_backend/tests/integration/podcasts/test_task_failure.py index 43212f58f..8b07f4753 100644 --- a/surfsense_backend/tests/integration/podcasts/test_task_failure.py +++ b/surfsense_backend/tests/integration/podcasts/test_task_failure.py @@ -17,10 +17,10 @@ pytestmark = pytest.mark.integration async def test_marking_failed_records_the_reason_on_a_running_podcast( - db_search_space, make_podcast, bind_task_session + db_workspace, make_podcast, bind_task_session ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.DRAFTING + workspace_id=db_workspace.id, status=PodcastStatus.DRAFTING ) await runtime.mark_failed(podcast.id, "tts provider unavailable") @@ -30,10 +30,10 @@ async def test_marking_failed_records_the_reason_on_a_running_podcast( async def test_marking_failed_leaves_an_already_terminal_podcast_untouched( - db_search_space, make_podcast, bind_task_session + db_workspace, make_podcast, bind_task_session ): podcast = await make_podcast( - search_space_id=db_search_space.id, status=PodcastStatus.READY + workspace_id=db_workspace.id, status=PodcastStatus.READY ) await runtime.mark_failed(podcast.id, "too late") diff --git a/surfsense_backend/tests/integration/retriever/conftest.py b/surfsense_backend/tests/integration/retriever/conftest.py index d2443723c..096b5c0dd 100644 --- a/surfsense_backend/tests/integration/retriever/conftest.py +++ b/surfsense_backend/tests/integration/retriever/conftest.py @@ -9,7 +9,7 @@ import pytest_asyncio from sqlalchemy.ext.asyncio import AsyncSession from app.config import config as app_config -from app.db import Chunk, Document, DocumentType, SearchSpace, User +from app.db import Chunk, Document, DocumentType, User, Workspace EMBEDDING_DIM = app_config.embedding_model_instance.dimension DUMMY_EMBEDDING = [0.1] * EMBEDDING_DIM @@ -20,7 +20,7 @@ def _make_document( title: str, document_type: DocumentType, content: str, - search_space_id: int, + workspace_id: int, created_by_id: str, updated_at: datetime | None = None, ) -> Document: @@ -32,7 +32,7 @@ def _make_document( content_hash=f"content-{uid}", unique_identifier_hash=f"uid-{uid}", source_markdown=content, - search_space_id=search_space_id, + workspace_id=workspace_id, created_by_id=created_by_id, embedding=DUMMY_EMBEDDING, updated_at=updated_at or datetime.now(UTC), @@ -50,29 +50,29 @@ def _make_chunk(*, content: str, document_id: int) -> Chunk: @pytest_asyncio.fixture async def seed_large_doc( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """Insert a document with 35 chunks (more than _MAX_FETCH_CHUNKS_PER_DOC=20). Also inserts a small 3-chunk document for diversity testing. - Returns a dict with ``large_doc``, ``small_doc``, ``search_space``, ``user``, + Returns a dict with ``large_doc``, ``small_doc``, ``workspace``, ``user``, and ``large_chunk_ids`` (all 35 chunk IDs). """ user_id = str(db_user.id) - space_id = db_search_space.id + space_id = db_workspace.id large_doc = _make_document( title="Large PDF Document", document_type=DocumentType.FILE, content="large document about quarterly performance reviews and budgets", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, ) small_doc = _make_document( title="Small Note", document_type=DocumentType.NOTE, content="quarterly performance review summary note", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, ) @@ -102,25 +102,25 @@ async def seed_large_doc( "small_doc": small_doc, "large_chunk_ids": [c.id for c in large_chunks], "small_chunk_ids": [c.id for c in small_chunks], - "search_space": db_search_space, + "workspace": db_workspace, "user": db_user, } @pytest_asyncio.fixture async def seed_date_filtered_docs( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ): """Insert matching docs with different timestamps for date-filter tests.""" user_id = str(db_user.id) - space_id = db_search_space.id + space_id = db_workspace.id now = datetime.now(UTC) recent_doc = _make_document( title="Recent OCV Notes", document_type=DocumentType.FILE, content="ocv meeting decisions and action items", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, updated_at=now, ) @@ -128,7 +128,7 @@ async def seed_date_filtered_docs( title="Old OCV Notes", document_type=DocumentType.FILE, content="ocv meeting decisions and action items", - search_space_id=space_id, + workspace_id=space_id, created_by_id=user_id, updated_at=now - timedelta(days=730), ) @@ -153,6 +153,6 @@ async def seed_date_filtered_docs( return { "recent_doc": recent_doc, "old_doc": old_doc, - "search_space": db_search_space, + "workspace": db_workspace, "user": db_user, } diff --git a/surfsense_backend/tests/integration/retriever/test_optimized_chunk_retriever.py b/surfsense_backend/tests/integration/retriever/test_optimized_chunk_retriever.py index f80e59304..78da3224e 100644 --- a/surfsense_backend/tests/integration/retriever/test_optimized_chunk_retriever.py +++ b/surfsense_backend/tests/integration/retriever/test_optimized_chunk_retriever.py @@ -18,13 +18,13 @@ pytestmark = pytest.mark.integration async def test_per_doc_chunk_limit_respected(db_session, seed_large_doc): """A document with 35 chunks should have at most _MAX_FETCH_CHUNKS_PER_DOC chunks returned.""" - space_id = seed_large_doc["search_space"].id + space_id = seed_large_doc["workspace"].id retriever = ChucksHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly performance review", top_k=10, - search_space_id=space_id, + workspace_id=space_id, query_embedding=DUMMY_EMBEDDING, ) @@ -40,13 +40,13 @@ async def test_per_doc_chunk_limit_respected(db_session, seed_large_doc): async def test_doc_metadata_populated_from_rrf(db_session, seed_large_doc): """Document metadata (title, type, etc.) should be present even without joinedload.""" - space_id = seed_large_doc["search_space"].id + space_id = seed_large_doc["workspace"].id retriever = ChucksHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly performance review", top_k=10, - search_space_id=space_id, + workspace_id=space_id, query_embedding=DUMMY_EMBEDDING, ) @@ -62,13 +62,13 @@ async def test_doc_metadata_populated_from_rrf(db_session, seed_large_doc): async def test_matched_chunk_ids_tracked(db_session, seed_large_doc): """matched_chunk_ids should contain the chunk IDs that appeared in the RRF results.""" - space_id = seed_large_doc["search_space"].id + space_id = seed_large_doc["workspace"].id retriever = ChucksHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly performance review", top_k=10, - search_space_id=space_id, + workspace_id=space_id, query_embedding=DUMMY_EMBEDDING, ) @@ -83,13 +83,13 @@ async def test_matched_chunk_ids_tracked(db_session, seed_large_doc): async def test_chunks_ordered_by_id(db_session, seed_large_doc): """Chunks within each document should be ordered by chunk ID (original order).""" - space_id = seed_large_doc["search_space"].id + space_id = seed_large_doc["workspace"].id retriever = ChucksHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly performance review", top_k=10, - search_space_id=space_id, + workspace_id=space_id, query_embedding=DUMMY_EMBEDDING, ) @@ -100,13 +100,13 @@ async def test_chunks_ordered_by_id(db_session, seed_large_doc): async def test_score_is_positive_float(db_session, seed_large_doc): """Each result should have a positive float score from RRF.""" - space_id = seed_large_doc["search_space"].id + space_id = seed_large_doc["workspace"].id retriever = ChucksHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly performance review", top_k=10, - search_space_id=space_id, + workspace_id=space_id, query_embedding=DUMMY_EMBEDDING, ) diff --git a/surfsense_backend/tests/integration/retriever/test_optimized_doc_retriever.py b/surfsense_backend/tests/integration/retriever/test_optimized_doc_retriever.py index 435f1eebf..d43d76cce 100644 --- a/surfsense_backend/tests/integration/retriever/test_optimized_doc_retriever.py +++ b/surfsense_backend/tests/integration/retriever/test_optimized_doc_retriever.py @@ -17,13 +17,13 @@ pytestmark = pytest.mark.integration async def test_per_doc_chunk_limit_respected(db_session, seed_large_doc): """A document with 35 chunks should have at most _MAX_FETCH_CHUNKS_PER_DOC chunks returned.""" - space_id = seed_large_doc["search_space"].id + space_id = seed_large_doc["workspace"].id retriever = DocumentHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly performance review", top_k=10, - search_space_id=space_id, + workspace_id=space_id, query_embedding=DUMMY_EMBEDDING, ) @@ -39,13 +39,13 @@ async def test_per_doc_chunk_limit_respected(db_session, seed_large_doc): async def test_doc_metadata_populated(db_session, seed_large_doc): """Document metadata should be present from the RRF results.""" - space_id = seed_large_doc["search_space"].id + space_id = seed_large_doc["workspace"].id retriever = DocumentHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly performance review", top_k=10, - search_space_id=space_id, + workspace_id=space_id, query_embedding=DUMMY_EMBEDDING, ) @@ -61,13 +61,13 @@ async def test_doc_metadata_populated(db_session, seed_large_doc): async def test_chunks_ordered_by_id(db_session, seed_large_doc): """Chunks within each document should be ordered by chunk ID.""" - space_id = seed_large_doc["search_space"].id + space_id = seed_large_doc["workspace"].id retriever = DocumentHybridSearchRetriever(db_session) results = await retriever.hybrid_search( query_text="quarterly performance review", top_k=10, - search_space_id=space_id, + workspace_id=space_id, query_embedding=DUMMY_EMBEDDING, ) diff --git a/surfsense_backend/tests/integration/test_connector_index_authz.py b/surfsense_backend/tests/integration/test_connector_index_authz.py index b25df7087..61aba762d 100644 --- a/surfsense_backend/tests/integration/test_connector_index_authz.py +++ b/surfsense_backend/tests/integration/test_connector_index_authz.py @@ -1,13 +1,13 @@ -"""Cross-search-space authorization on the connector index endpoint. +"""Cross-workspace authorization on the connector index endpoint. -``POST /search-source-connectors/{connector_id}/index?search_space_id=`` must -authorize against the **connector's own** ``search_space_id`` (matching the -read/update/delete handlers), not the caller-supplied ``search_space_id`` query +``POST /search-source-connectors/{connector_id}/index?workspace_id=`` must +authorize against the **connector's own** ``workspace_id`` (matching the +read/update/delete handlers), not the caller-supplied ``workspace_id`` query parameter, and must reject a connector that does not belong to the requested -search space. +workspace. -Without this, a user who owns search space B could index another user's -connector (which lives in space A) by passing ``search_space_id=B``: the +Without this, a user who owns workspace B could index another user's +connector (which lives in space A) by passing ``workspace_id=B``: the background indexer would run with the **victim connector's stored credentials** and write the fetched content into the attacker's space. These tests pin that boundary. @@ -27,11 +27,11 @@ from app.auth.context import AuthContext from app.db import ( SearchSourceConnector, SearchSourceConnectorType, - SearchSpace, User, + Workspace, ) from app.routes.search_source_connectors_routes import index_connector_content -from app.routes.search_spaces_routes import create_default_roles_and_membership +from app.routes.workspaces_routes import create_default_roles_and_membership pytestmark = pytest.mark.integration @@ -39,9 +39,9 @@ pytestmark = pytest.mark.integration _CHECK_PERMISSION = "app.routes.search_source_connectors_routes.check_permission" -async def _make_user_with_space(session: AsyncSession) -> tuple[User, SearchSpace]: - """A user plus a search space they own, with the default roles/membership - the ``POST /searchspaces`` route would create (so ``check_permission`` would +async def _make_user_with_space(session: AsyncSession) -> tuple[User, Workspace]: + """A user plus a workspace they own, with the default roles/membership + the ``POST /workspaces`` route would create (so ``check_permission`` would legitimately pass for this user on this space).""" user = User( id=uuid.uuid4(), @@ -53,7 +53,7 @@ async def _make_user_with_space(session: AsyncSession) -> tuple[User, SearchSpac ) session.add(user) await session.flush() - space = SearchSpace(name=f"Space {uuid.uuid4().hex[:8]}", user_id=user.id) + space = Workspace(name=f"Space {uuid.uuid4().hex[:8]}", user_id=user.id) session.add(space) await session.flush() await create_default_roles_and_membership(session, space.id, user.id) @@ -64,7 +64,7 @@ async def _make_user_with_space(session: AsyncSession) -> tuple[User, SearchSpac async def _make_connector( session: AsyncSession, owner: User, - space: SearchSpace, + space: Workspace, connector_type: SearchSourceConnectorType, ) -> SearchSourceConnector: connector = SearchSourceConnector( @@ -77,7 +77,7 @@ async def _make_connector( "repo_full_names": ["octocat/Hello-World"], }, is_indexable=True, - search_space_id=space.id, + workspace_id=space.id, user_id=owner.id, ) session.add(connector) @@ -90,7 +90,7 @@ class TestConnectorIndexCrossSpaceAuthz: self, db_session: AsyncSession ): """Attacker (owns space B) cannot index victim's connector (in space A) - by passing ``search_space_id=B``. + by passing ``workspace_id=B``. The mismatch is rejected with 404 **before** ``check_permission`` runs — which is essential, because that permission check *would* pass: the @@ -108,13 +108,13 @@ class TestConnectorIndexCrossSpaceAuthz: ): await index_connector_content( connector_id=connector_a.id, - search_space_id=space_b.id, # the attacker's own space + workspace_id=space_b.id, # the attacker's own space session=db_session, auth=AuthContext.session(attacker), ) assert exc_info.value.status_code == 404 - # Rejected at the search-space reconciliation, never reaching (or relying + # Rejected at the workspace reconciliation, never reaching (or relying # on) the permission check — which would have passed for space B. check_permission_mock.assert_not_awaited() @@ -122,7 +122,7 @@ class TestConnectorIndexCrossSpaceAuthz: self, db_session: AsyncSession ): """A legitimate same-space index passes the reconciliation and authorizes - ``check_permission`` against the connector's **own** search space (not the + ``check_permission`` against the connector's **own** workspace (not the client-supplied query param).""" owner, space = await _make_user_with_space(db_session) # A "live" connector type returns early (no Celery dispatch) right after @@ -139,11 +139,11 @@ class TestConnectorIndexCrossSpaceAuthz: ): await index_connector_content( connector_id=connector.id, - search_space_id=space.id, # the connector's own space + workspace_id=space.id, # the connector's own space session=db_session, auth=AuthContext.session(owner), ) check_permission_mock.assert_awaited_once() # The space passed to check_permission must be the connector's own space. - assert connector.search_space_id in check_permission_mock.await_args.args + assert connector.workspace_id in check_permission_mock.await_args.args diff --git a/surfsense_backend/tests/integration/test_document_versioning.py b/surfsense_backend/tests/integration/test_document_versioning.py index 9bd03d219..64da21b1a 100644 --- a/surfsense_backend/tests/integration/test_document_versioning.py +++ b/surfsense_backend/tests/integration/test_document_versioning.py @@ -7,14 +7,14 @@ import pytest_asyncio from sqlalchemy import func, select from sqlalchemy.ext.asyncio import AsyncSession -from app.db import Document, DocumentType, DocumentVersion, SearchSpace, User +from app.db import Document, DocumentType, DocumentVersion, User, Workspace pytestmark = pytest.mark.integration @pytest_asyncio.fixture async def db_document( - db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + db_session: AsyncSession, db_user: User, db_workspace: Workspace ) -> Document: doc = Document( title="Test Doc", @@ -24,7 +24,7 @@ async def db_document( content_hash="abc123", unique_identifier_hash="local_folder:test-folder:test.md", source_markdown="# Test\n\nOriginal content.", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, created_by_id=db_user.id, ) db_session.add(doc) diff --git a/surfsense_backend/tests/integration/test_obsidian_plugin_routes.py b/surfsense_backend/tests/integration/test_obsidian_plugin_routes.py index d56c18420..025bf2075 100644 --- a/surfsense_backend/tests/integration/test_obsidian_plugin_routes.py +++ b/surfsense_backend/tests/integration/test_obsidian_plugin_routes.py @@ -32,8 +32,8 @@ from app.auth.context import AuthContext from app.db import ( SearchSourceConnector, SearchSourceConnectorType, - SearchSpace, User, + Workspace, ) from app.routes.obsidian_plugin_routes import ( obsidian_connect, @@ -43,7 +43,7 @@ from app.routes.obsidian_plugin_routes import ( obsidian_stats, obsidian_sync, ) -from app.routes.search_spaces_routes import create_default_roles_and_membership +from app.routes.workspaces_routes import create_default_roles_and_membership from app.schemas.obsidian_plugin import ( ConnectRequest, DeleteAck, @@ -90,7 +90,7 @@ def _make_note_payload(vault_id: str, path: str, content_hash: str) -> NotePaylo @pytest_asyncio.fixture async def race_user_and_space(async_engine): - """User + SearchSpace committed via the live engine so the two + """User + Workspace committed via the live engine so the two concurrent /connect sessions in the race test can both see them. We can't use the savepoint-trapped ``db_session`` fixture here @@ -106,7 +106,7 @@ async def race_user_and_space(async_engine): is_superuser=False, is_verified=True, ) - space = SearchSpace(name="Race Space", user_id=user_id) + space = Workspace(name="Race Space", user_id=user_id) setup.add_all([user, space]) await setup.flush() await create_default_roles_and_membership(setup, space.id, user_id) @@ -125,15 +125,15 @@ async def race_user_and_space(async_engine): {"uid": user_id}, ) await cleanup.execute( - text("DELETE FROM search_space_memberships WHERE search_space_id = :id"), + text("DELETE FROM workspace_memberships WHERE workspace_id = :id"), {"id": space_id}, ) await cleanup.execute( - text("DELETE FROM search_space_roles WHERE search_space_id = :id"), + text("DELETE FROM workspace_roles WHERE workspace_id = :id"), {"id": space_id}, ) await cleanup.execute( - text("DELETE FROM searchspaces WHERE id = :id"), + text("DELETE FROM workspaces WHERE id = :id"), {"id": space_id}, ) await cleanup.execute( @@ -167,7 +167,7 @@ class TestConnectRace: payload = ConnectRequest( vault_id=vault_id, vault_name=f"My Vault {name_suffix}", - search_space_id=space_id, + workspace_id=space_id, vault_fingerprint=fingerprint, ) await obsidian_connect(payload, auth=_auth(fresh_user), session=s) @@ -207,7 +207,7 @@ class TestConnectRace: "vault_fingerprint": "fp-1", }, user_id=user_id, - search_space_id=space_id, + workspace_id=space_id, ) ) await s.commit() @@ -226,7 +226,7 @@ class TestConnectRace: "vault_fingerprint": "fp-2", }, user_id=user_id, - search_space_id=space_id, + workspace_id=space_id, ) ) await s.commit() @@ -252,7 +252,7 @@ class TestConnectRace: "vault_fingerprint": fingerprint, }, user_id=user_id, - search_space_id=space_id, + workspace_id=space_id, ) ) await s.commit() @@ -271,7 +271,7 @@ class TestConnectRace: "vault_fingerprint": fingerprint, }, user_id=user_id, - search_space_id=space_id, + workspace_id=space_id, ) ) await s.commit() @@ -294,7 +294,7 @@ class TestConnectRace: ConnectRequest( vault_id=vault_id_a, vault_name="Shared Vault", - search_space_id=space_id, + workspace_id=space_id, vault_fingerprint=fingerprint, ), auth=_auth(fresh_user), @@ -307,7 +307,7 @@ class TestConnectRace: ConnectRequest( vault_id=vault_id_b, vault_name="Shared Vault", - search_space_id=space_id, + workspace_id=space_id, vault_fingerprint=fingerprint, ), auth=_auth(fresh_user), @@ -341,7 +341,7 @@ class TestWireContractSmoke: field renames the way the TypeScript decoder would catch them.""" async def test_full_flow_returns_typed_payloads( - self, db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + self, db_session: AsyncSession, db_user: User, db_workspace: Workspace ): vault_id = str(uuid.uuid4()) @@ -350,7 +350,7 @@ class TestWireContractSmoke: ConnectRequest( vault_id=vault_id, vault_name="Smoke Vault", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, vault_fingerprint="fp-" + uuid.uuid4().hex, ), auth=_auth(db_user), @@ -488,14 +488,14 @@ class TestWireContractSmoke: assert stats_resp.last_sync_at is None async def test_sync_queues_binary_attachments( - self, db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + self, db_session: AsyncSession, db_user: User, db_workspace: Workspace ): vault_id = str(uuid.uuid4()) await obsidian_connect( ConnectRequest( vault_id=vault_id, vault_name="Queue Vault", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, vault_fingerprint="fp-" + uuid.uuid4().hex, ), auth=_auth(db_user), @@ -539,14 +539,14 @@ class TestWireContractSmoke: queue_mock.assert_called_once() async def test_sync_rejects_unsupported_attachment_extension( - self, db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + self, db_session: AsyncSession, db_user: User, db_workspace: Workspace ): vault_id = str(uuid.uuid4()) await obsidian_connect( ConnectRequest( vault_id=vault_id, vault_name="Reject Vault", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, vault_fingerprint="fp-" + uuid.uuid4().hex, ), auth=_auth(db_user), @@ -593,14 +593,14 @@ class TestWireContractSmoke: queue_mock.assert_not_called() async def test_sync_rejects_mime_extension_mismatch( - self, db_session: AsyncSession, db_user: User, db_search_space: SearchSpace + self, db_session: AsyncSession, db_user: User, db_workspace: Workspace ): vault_id = str(uuid.uuid4()) await obsidian_connect( ConnectRequest( vault_id=vault_id, vault_name="Mismatch Vault", - search_space_id=db_search_space.id, + workspace_id=db_workspace.id, vault_fingerprint="fp-" + uuid.uuid4().hex, ), auth=_auth(db_user), diff --git a/surfsense_backend/tests/integration/test_pat_fail_closed_authz.py b/surfsense_backend/tests/integration/test_pat_fail_closed_authz.py index 5bec3f48a..a398029d0 100644 --- a/surfsense_backend/tests/integration/test_pat_fail_closed_authz.py +++ b/surfsense_backend/tests/integration/test_pat_fail_closed_authz.py @@ -7,9 +7,9 @@ from fastapi import HTTPException from sqlalchemy.ext.asyncio import AsyncSession from app.auth.context import AuthContext -from app.db import PersonalAccessToken, SearchSpace, User +from app.db import PersonalAccessToken, User, Workspace from app.users import allow_any_principal, require_session_context -from app.utils.rbac import check_search_space_access +from app.utils.rbac import check_workspace_access pytestmark = pytest.mark.integration @@ -43,29 +43,29 @@ async def test_pat_is_allowed_by_bootstrap_dependency(db_user: User): async def test_pat_is_rejected_for_api_disabled_space( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - db_search_space.api_access_enabled = False + db_workspace.api_access_enabled = False await db_session.flush() auth = _pat_auth(db_user) with pytest.raises(HTTPException) as exc_info: - await check_search_space_access(db_session, auth, db_search_space.id) + await check_workspace_access(db_session, auth, db_workspace.id) assert exc_info.value.status_code == 403 - assert exc_info.value.detail == "API access is not enabled for this search space." + assert exc_info.value.detail == "API access is not enabled for this workspace." async def test_pat_is_allowed_for_api_enabled_space( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - db_search_space.api_access_enabled = True + db_workspace.api_access_enabled = True await db_session.flush() auth = _pat_auth(db_user) - membership = await check_search_space_access(db_session, auth, db_search_space.id) + membership = await check_workspace_access(db_session, auth, db_workspace.id) assert membership.user_id == db_user.id - assert membership.search_space_id == db_search_space.id + assert membership.workspace_id == db_workspace.id diff --git a/surfsense_backend/tests/integration/test_zero_authz_context.py b/surfsense_backend/tests/integration/test_zero_authz_context.py index dcb0fe34a..a2d042a9d 100644 --- a/surfsense_backend/tests/integration/test_zero_authz_context.py +++ b/surfsense_backend/tests/integration/test_zero_authz_context.py @@ -7,9 +7,9 @@ from fastapi import HTTPException from sqlalchemy.ext.asyncio import AsyncSession from app.auth.context import AuthContext -from app.db import PersonalAccessToken, SearchSpace, User -from app.routes.search_spaces_routes import create_default_roles_and_membership -from app.utils.rbac import check_search_space_access, get_allowed_read_space_ids +from app.db import PersonalAccessToken, User, Workspace +from app.routes.workspaces_routes import create_default_roles_and_membership +from app.utils.rbac import check_workspace_access, get_allowed_read_space_ids pytestmark = pytest.mark.integration @@ -30,8 +30,8 @@ async def _space_with_membership( user: User, *, api_access_enabled: bool, -) -> SearchSpace: - space = SearchSpace( +) -> Workspace: + space = Workspace( name="Zero Authz Space", user_id=user.id, api_access_enabled=api_access_enabled, @@ -43,10 +43,10 @@ async def _space_with_membership( return space -async def test_zero_read_set_matches_session_search_space_access( +async def test_zero_read_set_matches_session_workspace_access( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): disabled_space = await _space_with_membership( db_session, @@ -57,17 +57,17 @@ async def test_zero_read_set_matches_session_search_space_access( allowed_ids = set(await get_allowed_read_space_ids(db_session, session_auth)) - for space in (db_search_space, disabled_space): - membership = await check_search_space_access(db_session, session_auth, space.id) - assert membership.search_space_id in allowed_ids + for space in (db_workspace, disabled_space): + membership = await check_workspace_access(db_session, session_auth, space.id) + assert membership.workspace_id in allowed_ids async def test_zero_read_set_applies_pat_api_access_gate( db_session: AsyncSession, db_user: User, - db_search_space: SearchSpace, + db_workspace: Workspace, ): - db_search_space.api_access_enabled = True + db_workspace.api_access_enabled = True disabled_space = await _space_with_membership( db_session, db_user, @@ -78,8 +78,8 @@ async def test_zero_read_set_applies_pat_api_access_gate( allowed_ids = set(await get_allowed_read_space_ids(db_session, pat_auth)) - assert db_search_space.id in allowed_ids + assert db_workspace.id in allowed_ids assert disabled_space.id not in allowed_ids with pytest.raises(HTTPException) as exc_info: - await check_search_space_access(db_session, pat_auth, disabled_space.id) + await check_workspace_access(db_session, pat_auth, disabled_space.id) assert exc_info.value.status_code == 403 diff --git a/surfsense_backend/tests/unit/agents/chat/shared/tools/test_web_search.py b/surfsense_backend/tests/unit/agents/chat/shared/tools/test_web_search.py deleted file mode 100644 index 7137bfdfc..000000000 --- a/surfsense_backend/tests/unit/agents/chat/shared/tools/test_web_search.py +++ /dev/null @@ -1,93 +0,0 @@ -"""Tests for the shared ``web_search`` tool's citable-result adaptation. - -The tool's network path (SearXNG + live connectors) is out of scope here; these -cover the pure mapping from raw web results to renderable, citable documents and -the end-to-end registration of ``WEB_RESULT`` ``[n]`` labels. -""" - -from __future__ import annotations - -import pytest - -from app.agents.chat.multi_agent_chat.shared.citations import ( - CitationRegistry, - CitationSourceType, -) -from app.agents.chat.multi_agent_chat.shared.document_render import render_web_results -from app.agents.chat.shared.tools.web_search import ( - _to_renderable_web_documents, - _web_source_label, -) - -pytestmark = pytest.mark.unit - - -def _raw_result(url: str, title: str, content: str) -> dict: - return { - "document": {"title": title, "metadata": {"url": url}}, - "content": content, - } - - -def test_web_source_label_strips_scheme_and_www() -> None: - assert _web_source_label("https://www.example.com/path") == "Web · example.com" - assert _web_source_label("http://news.site.org/a/b") == "Web · news.site.org" - assert _web_source_label("") == "Web" - - -def test_adapter_maps_each_result_to_one_web_passage() -> None: - docs = _to_renderable_web_documents( - [ - _raw_result("https://a.com/x", "Alpha", "alpha body"), - _raw_result("https://b.com/y", "Beta", "beta body"), - ] - ) - - assert [d.title for d in docs] == ["Alpha", "Beta"] - passages = [p for d in docs for p in d.passages] - assert all(p.source_type is CitationSourceType.WEB_RESULT for p in passages) - assert passages[0].locator == {"url": "https://a.com/x"} - assert passages[0].content == "alpha body" - - -def test_adapter_skips_results_without_url_or_content() -> None: - docs = _to_renderable_web_documents( - [ - _raw_result("", "No URL", "has content"), - _raw_result("https://c.com/z", "Empty", " "), - _raw_result("https://d.com/w", "Good", "real content"), - ] - ) - - assert [d.title for d in docs] == ["Good"] - - -def test_adapter_truncates_on_char_budget() -> None: - big = "x" * 30 - docs = _to_renderable_web_documents( - [ - _raw_result("https://a.com", "A", big), - _raw_result("https://b.com", "B", big), - _raw_result("https://c.com", "C", big), - ], - max_chars=50, - ) - - # First fits (30), second crosses 50 and stops the loop. - assert [d.title for d in docs] == ["A"] - - -def test_end_to_end_registers_web_results_for_citation() -> None: - registry = CitationRegistry() - docs = _to_renderable_web_documents( - [_raw_result("https://example.com/a", "Example", "the answer is 42")] - ) - - block = render_web_results(docs, registry) - - assert block is not None - assert "[1] the answer is 42" in block - entry = registry.resolve(1) - assert entry is not None - assert entry.source_type is CitationSourceType.WEB_RESULT - assert entry.locator == {"url": "https://example.com/a"} diff --git a/surfsense_backend/tests/unit/agents/multi_agent_chat/shared/document_render/test_web_results.py b/surfsense_backend/tests/unit/agents/multi_agent_chat/shared/document_render/test_web_results.py deleted file mode 100644 index f96473667..000000000 --- a/surfsense_backend/tests/unit/agents/multi_agent_chat/shared/document_render/test_web_results.py +++ /dev/null @@ -1,84 +0,0 @@ -"""Tests for the ```` wrapper around web-result excerpt documents.""" - -from __future__ import annotations - -import pytest - -from app.agents.chat.multi_agent_chat.shared.citations import ( - CitationRegistry, - CitationSourceType, -) -from app.agents.chat.multi_agent_chat.shared.document_render import ( - RenderableDocument, - RenderablePassage, - render_web_results, -) - -pytestmark = pytest.mark.unit - - -def _web_doc(url: str, title: str, content: str) -> RenderableDocument: - return RenderableDocument( - title=title, - source=f"Web · {url.split('//', 1)[-1].split('/', 1)[0]}", - passages=[ - RenderablePassage( - content=content, - locator={"url": url}, - source_type=CitationSourceType.WEB_RESULT, - ) - ], - ) - - -def test_returns_none_when_nothing_to_show() -> None: - registry = CitationRegistry() - - assert render_web_results([], registry) is None - - -def test_wraps_in_web_results_container() -> None: - registry = CitationRegistry() - - block = render_web_results( - [_web_doc("https://example.com/a", "Example", "the answer is 42")], - registry, - ) - - assert block is not None - assert block.startswith("") - assert block.endswith("") - assert "cite a result with its [n]" in block - assert ( - '' in block - ) - assert "[1] the answer is 42" in block - - -def test_registers_each_result_as_web_result_with_url_locator() -> None: - registry = CitationRegistry() - - render_web_results( - [ - _web_doc("https://a.com/x", "A", "alpha"), - _web_doc("https://b.com/y", "B", "beta"), - ], - registry, - ) - - first = registry.resolve(1) - second = registry.resolve(2) - assert first is not None and second is not None - assert first.source_type is CitationSourceType.WEB_RESULT - assert first.locator == {"url": "https://a.com/x"} - assert second.locator == {"url": "https://b.com/y"} - - -def test_same_url_reuses_label_across_calls() -> None: - registry = CitationRegistry() - doc = _web_doc("https://example.com/a", "Example", "stable fact") - - render_web_results([doc], registry) - render_web_results([doc], registry) - - assert registry.next_n == 2 diff --git a/surfsense_backend/tests/unit/agents/multi_agent_chat/subagents/shared/test_subagent_builder.py b/surfsense_backend/tests/unit/agents/multi_agent_chat/subagents/shared/test_subagent_builder.py index 2f3553a27..fa5faea5c 100644 --- a/surfsense_backend/tests/unit/agents/multi_agent_chat/subagents/shared/test_subagent_builder.py +++ b/surfsense_backend/tests/unit/agents/multi_agent_chat/subagents/shared/test_subagent_builder.py @@ -25,6 +25,7 @@ from app.agents.chat.multi_agent_chat.shared.permissions.middleware.core import PermissionMiddleware, ) from app.agents.chat.multi_agent_chat.subagents.shared.subagent_builder import ( + append_today_utc, pack_subagent, ) @@ -104,6 +105,35 @@ async def test_subagent_recovers_when_primary_llm_fails(): assert final.content == "recovered via fallback" +def test_packed_subagent_prompt_carries_todays_utc_date(): + """Subagents must inherit the main agent's clock, not guess the date.""" + from datetime import UTC, datetime + + today = datetime.now(UTC).date().isoformat() + + result = pack_subagent( + name="date_test", + description="test", + system_prompt="be helpful", + tools=[], + ruleset=Ruleset(origin="date_test", rules=[]), + dependencies={"flags": AgentFeatureFlags()}, + ) + + prompt = result.spec["system_prompt"] + assert prompt.startswith("be helpful") + assert f"Today (UTC): {today}" in prompt + + +def test_append_today_utc_is_idempotent_shape(): + """Helper appends exactly one dated line and preserves the original body.""" + from datetime import UTC, datetime + + today = datetime.now(UTC).date().isoformat() + out = append_today_utc("body") + assert out == f"body\n\nToday (UTC): {today}\n" + + def _extract_permission_mw(spec) -> PermissionMiddleware: """Find the lone PermissionMiddleware in a subagent's middleware list.""" matches = [m for m in spec["middleware"] if isinstance(m, PermissionMiddleware)] @@ -191,25 +221,25 @@ def test_missing_user_allowlist_keeps_coded_behaviour(): def test_user_allowlist_for_different_subagent_does_not_leak(): - """User trust for ``linear`` must not affect a ``jira`` subagent compile.""" + """User trust for one subagent must not affect a different subagent compile.""" coded = Ruleset( - origin="jira", + origin="mcp_discovery", rules=[Rule(permission="save_issue", pattern="*", action="ask")], ) - linear_allowlist = Ruleset( - origin="user_allowlist:linear", + other_allowlist = Ruleset( + origin="user_allowlist:knowledge_base", rules=[Rule(permission="save_issue", pattern="*", action="allow")], ) result = pack_subagent( - name="jira", + name="mcp_discovery", description="test", system_prompt="x", tools=[], ruleset=coded, dependencies={ "flags": AgentFeatureFlags(), - "user_allowlist_by_subagent": {"linear": linear_allowlist}, + "user_allowlist_by_subagent": {"knowledge_base": other_allowlist}, }, ) diff --git a/surfsense_backend/tests/unit/agents/multi_agent_chat/test_mcp_allowlist_fallback.py b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_mcp_allowlist_fallback.py new file mode 100644 index 000000000..eb6a03ccb --- /dev/null +++ b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_mcp_allowlist_fallback.py @@ -0,0 +1,52 @@ +"""Allowlist filtering in ``_load_http_mcp_tools``. + +Covers the fallback added after Notion renamed its MCP tools ("notion-" +prefix) and a stale allowlist silently disabled the connector: when the +allowlist matches zero advertised tools, load everything (HITL-gated) +instead of nothing. +""" + +from datetime import UTC, datetime + +from app.agents.chat.multi_agent_chat.shared.tools.mcp.cache import ( + CachedMCPTools, +) +from app.agents.chat.multi_agent_chat.shared.tools.mcp.tool import ( + _load_http_mcp_tools, +) + +_CACHED = CachedMCPTools( + discovered_at=datetime.now(UTC), + tools=[ + {"name": "notion-search", "description": "search", "input_schema": {}}, + {"name": "notion-update-page", "description": "write", "input_schema": {}}, + ], +) +_SERVER_CONFIG = {"url": "https://example.com/mcp", "headers": {}} + + +async def test_allowlist_match_filters_and_flags_readonly(): + tools = await _load_http_mcp_tools( + 1, + "Notion", + _SERVER_CONFIG, + allowed_tools=["notion-search"], + readonly_tools=frozenset({"notion-search"}), + cached_tools=_CACHED, + ) + assert [t.name for t in tools] == ["notion-search"] + assert tools[0].metadata["hitl"] is False + + +async def test_stale_allowlist_falls_back_to_all_tools_hitl_gated(): + tools = await _load_http_mcp_tools( + 1, + "Notion", + _SERVER_CONFIG, + allowed_tools=["search", "update-page"], # server renamed everything + readonly_tools=frozenset({"search"}), + cached_tools=_CACHED, + ) + assert sorted(t.name for t in tools) == ["notion-search", "notion-update-page"] + # Renamed tools match no readonly entry -> every tool requires approval. + assert all(t.metadata["hitl"] is True for t in tools) diff --git a/surfsense_backend/tests/unit/agents/multi_agent_chat/test_mcp_discovery_migration.py b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_mcp_discovery_migration.py new file mode 100644 index 000000000..428b2f24f --- /dev/null +++ b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_mcp_discovery_migration.py @@ -0,0 +1,162 @@ +"""Guardrails for the MCP-consolidation migration. + +Every MCP-backed connector now routes to the single ``mcp_discovery`` subagent +(file connectors stay native; Discord/Teams/Luma are deprecated). These tests +pin the pieces that make that safe: connector→route mapping, any-of gating, +legacy checkpoint aliasing, tool-name collision prefixing, the metadata-derived +approval ruleset, and the KB indexing-deprecation sets. +""" + +from __future__ import annotations + +import pytest +from langchain_core.tools import StructuredTool + +from app.agents.chat.multi_agent_chat.constants import ( + CONNECTOR_TYPE_TO_CONNECTOR_AGENT_MAPS, + LEGACY_SUBAGENT_ALIASES, + SUBAGENT_TO_REQUIRED_CONNECTOR_MAP, +) +from app.agents.chat.multi_agent_chat.subagents.builtins.mcp_discovery.tools.index import ( + NAME as MCP_DISCOVERY_NAME, + build_ruleset, +) +from app.agents.chat.multi_agent_chat.subagents.mcp_tools.index import ( + resolve_tool_name_collisions, +) +from app.agents.chat.multi_agent_chat.subagents.registry import ( + SUBAGENT_BUILDERS_BY_NAME, + get_subagents_to_exclude, +) +from app.services.mcp_oauth.registry import ( + DEPRECATED_INDEXING_CONNECTOR_TYPES, + LIVE_CONNECTOR_TYPES, +) + +pytestmark = pytest.mark.unit + +# Connectors that must all funnel into ``mcp_discovery`` (not their own routes). +_MCP_ROUTED = { + "SLACK_CONNECTOR", + "JIRA_CONNECTOR", + "LINEAR_CONNECTOR", + "CLICKUP_CONNECTOR", + "AIRTABLE_CONNECTOR", + "NOTION_CONNECTOR", + "CONFLUENCE_CONNECTOR", + "GOOGLE_GMAIL_CONNECTOR", + "GOOGLE_CALENDAR_CONNECTOR", + "MCP_CONNECTOR", +} + + +def _tool(name: str, metadata: dict) -> StructuredTool: + return StructuredTool.from_function( + func=lambda: name, + name=name, + description=name, + metadata=metadata, + ) + + +def test_all_mcp_connectors_route_to_discovery(): + for connector_type in _MCP_ROUTED: + assert ( + CONNECTOR_TYPE_TO_CONNECTOR_AGENT_MAPS[connector_type] == MCP_DISCOVERY_NAME + ), connector_type + + +def test_file_connectors_keep_native_routes(): + assert ( + CONNECTOR_TYPE_TO_CONNECTOR_AGENT_MAPS["GOOGLE_DRIVE_CONNECTOR"] + == "google_drive" + ) + assert CONNECTOR_TYPE_TO_CONNECTOR_AGENT_MAPS["DROPBOX_CONNECTOR"] == "dropbox" + assert CONNECTOR_TYPE_TO_CONNECTOR_AGENT_MAPS["ONEDRIVE_CONNECTOR"] == "onedrive" + + +def test_deprecated_connectors_have_no_route(): + for connector_type in ("DISCORD_CONNECTOR", "TEAMS_CONNECTOR", "LUMA_CONNECTOR"): + assert connector_type not in CONNECTOR_TYPE_TO_CONNECTOR_AGENT_MAPS + + +def test_discovery_gating_is_any_of(): + """One connected app is enough to keep ``mcp_discovery``; none excludes it.""" + assert MCP_DISCOVERY_NAME not in get_subagents_to_exclude(["SLACK_CONNECTOR"]) + assert MCP_DISCOVERY_NAME in get_subagents_to_exclude([]) + # A generic user MCP server alone still unlocks it. + assert MCP_DISCOVERY_NAME not in get_subagents_to_exclude(["MCP_CONNECTOR"]) + + +def test_discovery_gating_tokens_match_routed_connectors(): + assert SUBAGENT_TO_REQUIRED_CONNECTOR_MAP[MCP_DISCOVERY_NAME] == frozenset( + _MCP_ROUTED + ) + + +def test_legacy_aliases_resolve_to_a_live_subagent(): + """Old per-connector task names must alias onto a subagent that still exists.""" + for legacy, target in LEGACY_SUBAGENT_ALIASES.items(): + assert legacy not in SUBAGENT_BUILDERS_BY_NAME, legacy + assert target in SUBAGENT_BUILDERS_BY_NAME, target + + +def test_collision_only_prefixes_shared_names(): + """A name on two connectors is prefixed; a unique name is left untouched.""" + tools = [ + _tool("search", {"mcp_connector_id": 1, "mcp_transport": "http"}), + _tool("search", {"mcp_connector_id": 2, "mcp_transport": "http"}), + _tool("list_bases", {"mcp_connector_id": 2, "mcp_transport": "http"}), + ] + resolved = { + t.name: t + for t in resolve_tool_name_collisions( + tools, {1: "NOTION_CONNECTOR", 2: "AIRTABLE_CONNECTOR"} + ) + } + + # The unique tool keeps its bare name (trusted_tools / history stay valid). + assert "list_bases" in resolved + # The colliding name is gone; both are prefixed with service + connector id. + assert "search" not in resolved + assert "notion_1_search" in resolved + assert "airtable_2_search" in resolved + # Original name preserved for the "Always Allow" fallback key. + for name in ("notion_1_search", "airtable_2_search"): + meta = resolved[name].metadata or {} + assert meta["mcp_original_tool_name"] == "search" + assert meta["mcp_collision_prefixed"] is True + + +def test_collision_noop_without_collisions(): + tools = [ + _tool("a", {"mcp_connector_id": 1}), + _tool("b", {"mcp_connector_id": 2}), + ] + assert [t.name for t in resolve_tool_name_collisions(tools, {})] == ["a", "b"] + + +def test_ruleset_reads_hitl_from_metadata(): + """Read-only MCP tools ``allow``; every other MCP tool ``ask``; natives skip.""" + tools = [ + _tool("readonly_search", {"mcp_transport": "http", "hitl": False}), + _tool("mutating_create", {"mcp_transport": "http", "hitl": True}), + _tool("native_helper", {}), # no mcp_transport => no rule + ] + rules = {r.permission: r.action for r in build_ruleset(tools).rules} + assert rules == {"readonly_search": "allow", "mutating_create": "ask"} + + +def test_indexing_deprecation_sets(): + """Indexing-only connectors are deprecated; migrated ones are LIVE; Obsidian stays.""" + deprecated = {t.value for t in DEPRECATED_INDEXING_CONNECTOR_TYPES} + assert deprecated == { + "GITHUB_CONNECTOR", + "BOOKSTACK_CONNECTOR", + "ELASTICSEARCH_CONNECTOR", + "CIRCLEBACK_CONNECTOR", + } + assert "OBSIDIAN_CONNECTOR" not in deprecated + + live = {t.value for t in LIVE_CONNECTOR_TYPES} + assert {"NOTION_CONNECTOR", "CONFLUENCE_CONNECTOR"} <= live diff --git a/surfsense_backend/tests/unit/agents/multi_agent_chat/test_prompt_resources.py b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_prompt_resources.py index ccdfc0b98..bbe64fad3 100644 --- a/surfsense_backend/tests/unit/agents/multi_agent_chat/test_prompt_resources.py +++ b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_prompt_resources.py @@ -45,7 +45,7 @@ def test_every_subagent_has_description_md(name: str): [ "core_behavior.md", "routing.md", - "tools/web_search/description.md", + "tools/task/description.md", ], ) def test_main_agent_prompt_fragments_resolve(filename: str): diff --git a/surfsense_backend/tests/unit/agents/multi_agent_chat/test_subagent_composition.py b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_subagent_composition.py index 157f1703b..c3ad04250 100644 --- a/surfsense_backend/tests/unit/agents/multi_agent_chat/test_subagent_composition.py +++ b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_subagent_composition.py @@ -19,36 +19,32 @@ from app.agents.chat.multi_agent_chat.subagents.registry import ( pytestmark = pytest.mark.unit -# The full specialist roster the main agent composes from: 4 builtins + 15 -# connector routes. Adding/removing a specialist is a deliberate product change -# and must be reflected here. +# The full specialist roster the main agent composes from after the MCP +# migration: builtins + the three file-connector routes (Drive/Dropbox/ +# OneDrive). Every MCP-backed connector (Slack/Jira/Linear/ClickUp/Airtable/ +# Notion/Confluence/Gmail/Calendar) now lives behind the single +# ``mcp_discovery`` route; Discord/Teams/Luma were deprecated. Adding/removing a +# specialist is a deliberate product change and must be reflected here. _EXPECTED_SUBAGENTS = frozenset( { - "airtable", - "calendar", - "clickup", - "confluence", "deliverables", - "discord", "dropbox", - "gmail", "google_drive", - "jira", + "google_maps", + "google_search", "knowledge_base", - "linear", - "luma", + "mcp_discovery", "memory", - "notion", "onedrive", - "research", - "slack", - "teams", + "reddit", + "web_crawler", + "youtube", } ) # Specialists that are always available regardless of connected sources, so they # carry no required-connector entry. -_CONNECTORLESS = frozenset({"memory", "research"}) +_CONNECTORLESS = frozenset({"memory"}) def test_registry_contains_exactly_expected_subagents(): diff --git a/surfsense_backend/tests/unit/agents/multi_agent_chat/test_web_search_removed.py b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_web_search_removed.py new file mode 100644 index 000000000..48c47845d --- /dev/null +++ b/surfsense_backend/tests/unit/agents/multi_agent_chat/test_web_search_removed.py @@ -0,0 +1,48 @@ +"""Guardrail: the multi-engine ``web_search`` tool is fully retired. + +Public web search now runs exclusively through the ``google_search`` subagent, +and the four search connector types (Tavily/SearXNG/Linkup/Baidu) are soft- +deprecated. This pins those invariants so a future change can't quietly bring +the ``web_search`` tool back or un-deprecate a search connector. +""" + +from __future__ import annotations + +import pytest +from fastapi import HTTPException + +from app.agents.chat.multi_agent_chat.main_agent.tools.index import ( + MAIN_AGENT_SURFSENSE_TOOL_NAMES, +) +from app.agents.chat.multi_agent_chat.subagents.registry import ( + SUBAGENT_BUILDERS_BY_NAME, +) +from app.utils.validators import ( + DEPRECATED_CONNECTOR_TYPES, + raise_if_connector_deprecated, +) + +pytestmark = pytest.mark.unit + +_DEPRECATED_SEARCH_TYPES = ( + "TAVILY_API", + "SEARXNG_API", + "LINKUP_API", + "BAIDU_SEARCH_API", +) + + +def test_web_search_tool_removed_from_main_agent(): + assert "web_search" not in MAIN_AGENT_SURFSENSE_TOOL_NAMES + + +def test_google_search_specialist_present(): + assert "google_search" in SUBAGENT_BUILDERS_BY_NAME + + +@pytest.mark.parametrize("connector_type", _DEPRECATED_SEARCH_TYPES) +def test_search_connectors_deprecated(connector_type): + assert connector_type in DEPRECATED_CONNECTOR_TYPES + with pytest.raises(HTTPException) as excinfo: + raise_if_connector_deprecated(connector_type) + assert excinfo.value.status_code == 410 diff --git a/surfsense_backend/tests/unit/agents/new_chat/test_action_log.py b/surfsense_backend/tests/unit/agents/new_chat/test_action_log.py index e476538bd..30f45f2e4 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/test_action_log.py +++ b/surfsense_backend/tests/unit/agents/new_chat/test_action_log.py @@ -94,7 +94,7 @@ def fake_session_factory(): class TestActionLogMiddlewareDisabled: @pytest.mark.asyncio async def test_no_op_when_flag_off(self, patch_get_flags) -> None: - mw = ActionLogMiddleware(thread_id=1, search_space_id=1, user_id=None) + mw = ActionLogMiddleware(thread_id=1, workspace_id=1, user_id=None) request = _FakeRequest( tool_call={ "name": "make_widget", @@ -110,7 +110,7 @@ class TestActionLogMiddlewareDisabled: @pytest.mark.asyncio async def test_no_op_when_thread_id_none(self, patch_get_flags) -> None: - mw = ActionLogMiddleware(thread_id=None, search_space_id=1, user_id=None) + mw = ActionLogMiddleware(thread_id=None, workspace_id=1, user_id=None) request = _FakeRequest( tool_call={"name": "make_widget", "args": {}, "id": "tc1"} ) @@ -126,7 +126,7 @@ class TestActionLogMiddlewarePersistence: self, patch_get_flags, fake_session_factory ) -> None: captured, factory = fake_session_factory - mw = ActionLogMiddleware(thread_id=42, search_space_id=7, user_id="u1") + mw = ActionLogMiddleware(thread_id=42, workspace_id=7, user_id="u1") request = _FakeRequest( tool_call={ "name": "make_widget", @@ -150,7 +150,7 @@ class TestActionLogMiddlewarePersistence: assert len(captured["rows"]) == 1 row = captured["rows"][0] assert row.thread_id == 42 - assert row.search_space_id == 7 + assert row.workspace_id == 7 assert row.user_id == "u1" assert row.tool_name == "make_widget" assert row.args == {"color": "red", "size": 3} @@ -170,7 +170,7 @@ class TestActionLogMiddlewarePersistence: ) -> None: """``chat_turn_id`` falls back to NULL when ``runtime.config`` is absent.""" captured, factory = fake_session_factory - mw = ActionLogMiddleware(thread_id=1, search_space_id=1, user_id=None) + mw = ActionLogMiddleware(thread_id=1, workspace_id=1, user_id=None) request = _FakeRequest( tool_call={"name": "make_widget", "args": {}, "id": "tc-1"}, runtime=None, @@ -190,7 +190,7 @@ class TestActionLogMiddlewarePersistence: self, patch_get_flags, fake_session_factory ) -> None: captured, factory = fake_session_factory - mw = ActionLogMiddleware(thread_id=42, search_space_id=7, user_id="u1") + mw = ActionLogMiddleware(thread_id=42, workspace_id=7, user_id="u1") request = _FakeRequest( tool_call={"name": "make_widget", "args": {"color": "red"}, "id": "tc1"} ) @@ -214,7 +214,7 @@ class TestActionLogMiddlewarePersistence: self, patch_get_flags ) -> None: """Even if the DB write blows up, the tool's result must reach the model.""" - mw = ActionLogMiddleware(thread_id=1, search_space_id=1, user_id=None) + mw = ActionLogMiddleware(thread_id=1, workspace_id=1, user_id=None) request = _FakeRequest( tool_call={"name": "make_widget", "args": {}, "id": "tc1"} ) @@ -250,7 +250,7 @@ class TestReverseDescriptor: ) mw = ActionLogMiddleware( thread_id=1, - search_space_id=1, + workspace_id=1, user_id="u", tool_definitions={"make_widget": tool_def}, ) @@ -296,7 +296,7 @@ class TestReverseDescriptor: ) mw = ActionLogMiddleware( thread_id=1, - search_space_id=1, + workspace_id=1, user_id=None, tool_definitions={"make_widget": tool_def}, ) @@ -321,7 +321,7 @@ class TestReverseDescriptor: self, patch_get_flags, fake_session_factory ) -> None: captured, factory = fake_session_factory - mw = ActionLogMiddleware(thread_id=1, search_space_id=1, user_id=None) + mw = ActionLogMiddleware(thread_id=1, workspace_id=1, user_id=None) request = _FakeRequest( tool_call={"name": "unknown_tool", "args": {}, "id": "tc1"} ) @@ -343,7 +343,7 @@ class TestActionLogDispatch: self, patch_get_flags, fake_session_factory ) -> None: _captured, factory = fake_session_factory - mw = ActionLogMiddleware(thread_id=42, search_space_id=7, user_id="u1") + mw = ActionLogMiddleware(thread_id=42, workspace_id=7, user_id="u1") request = _FakeRequest( tool_call={ "name": "make_widget", @@ -383,7 +383,7 @@ class TestActionLogDispatch: @pytest.mark.asyncio async def test_no_dispatch_when_persistence_fails(self, patch_get_flags) -> None: """If commit fails the dispatch is suppressed (no row to surface).""" - mw = ActionLogMiddleware(thread_id=1, search_space_id=1, user_id=None) + mw = ActionLogMiddleware(thread_id=1, workspace_id=1, user_id=None) request = _FakeRequest( tool_call={"name": "make_widget", "args": {}, "id": "tc1"} ) @@ -411,7 +411,7 @@ class TestArgsTruncation: self, patch_get_flags, fake_session_factory ) -> None: captured, factory = fake_session_factory - mw = ActionLogMiddleware(thread_id=1, search_space_id=1, user_id=None) + mw = ActionLogMiddleware(thread_id=1, workspace_id=1, user_id=None) # Build a > 32KB string so the persisted payload triggers the truncation path. huge = "x" * (40 * 1024) request = _FakeRequest( diff --git a/surfsense_backend/tests/unit/agents/new_chat/test_context_editing.py b/surfsense_backend/tests/unit/agents/new_chat/test_context_editing.py index 9632fd14d..f80e38154 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/test_context_editing.py +++ b/surfsense_backend/tests/unit/agents/new_chat/test_context_editing.py @@ -59,7 +59,7 @@ class TestSpillEdit: assert edit.pending_spills == [] def test_above_trigger_clears_and_records(self) -> None: - edit = SpillToBackendEdit(trigger=100, keep=1, path_prefix="/tool_outputs") + edit = SpillToBackendEdit(trigger=100, keep=1) msgs = _build_history(4) edit.apply(msgs, count_tokens=_approx_count) @@ -102,7 +102,9 @@ class TestSpillEdit: assert edit.drain_pending() == [] def test_placeholder_format(self) -> None: - path = "/tool_outputs/thread-1/tool-msg-0.txt" - text = _build_spill_placeholder(path) - assert path in text - assert "explore" in text # mentions the recovery agent + import uuid + + spill_id = uuid.uuid4() + text = _build_spill_placeholder(spill_id) + assert f"spill_{spill_id}" in text + assert "read_run" in text # points at the recovery tools diff --git a/surfsense_backend/tests/unit/agents/new_chat/test_default_permissions_layering.py b/surfsense_backend/tests/unit/agents/new_chat/test_default_permissions_layering.py index b6341bfec..8c559af4d 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/test_default_permissions_layering.py +++ b/surfsense_backend/tests/unit/agents/new_chat/test_default_permissions_layering.py @@ -9,7 +9,7 @@ earliest -> latest: 3. (future) user-defined rules from the Agent Permissions UI Without #1 every read-only built-in (``ls``, ``read_file``, ``grep``, -``glob``, ``web_search`` …) defaulted to ``ask`` because +``glob`` …) defaulted to ``ask`` because ``permissions.evaluate`` returns ``ask`` when no rule matches. That caused two production-painful behaviors: @@ -58,8 +58,6 @@ class TestReadOnlyToolsAllowed: "read_file", "grep", "glob", - "web_search", - "scrape_webpage", "get_connected_accounts", "write_todos", "task", diff --git a/surfsense_backend/tests/unit/agents/new_chat/test_mention_resolver.py b/surfsense_backend/tests/unit/agents/new_chat/test_mention_resolver.py index 6aebee093..b568f5a99 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/test_mention_resolver.py +++ b/surfsense_backend/tests/unit/agents/new_chat/test_mention_resolver.py @@ -99,7 +99,7 @@ class TestResolveMentions: session.execute = AsyncMock() result = await resolve_mentions( session, - search_space_id=1, + workspace_id=1, mentioned_documents=None, ) assert isinstance(result, ResolvedMentionSet) @@ -134,7 +134,7 @@ class TestResolveMentions: out = await resolve_mentions( session, - search_space_id=5, + workspace_id=5, mentioned_documents=[chip], ) assert len(out.mentions) == 1 @@ -170,7 +170,7 @@ class TestResolveMentions: out = await resolve_mentions( session, - search_space_id=3, + workspace_id=3, mentioned_documents=[chip], ) assert len(out.mentions) == 1 @@ -201,7 +201,7 @@ class TestResolveMentions: out = await resolve_mentions( session, - search_space_id=1, + workspace_id=1, mentioned_documents=[chip], ) assert out.mentions == [] @@ -238,7 +238,7 @@ class TestResolveMentions: out = await resolve_mentions( session, - search_space_id=1, + workspace_id=1, mentioned_documents=[chip_short, chip_long], ) tokens = [tok for tok, _ in out.token_to_path] @@ -265,7 +265,7 @@ class TestResolveMentions: out = await resolve_mentions( session, - search_space_id=2, + workspace_id=2, mentioned_documents=None, mentioned_document_ids=[7], ) diff --git a/surfsense_backend/tests/unit/agents/new_chat/test_otel_span.py b/surfsense_backend/tests/unit/agents/new_chat/test_otel_span.py index e2978d277..07d05d8a4 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/test_otel_span.py +++ b/surfsense_backend/tests/unit/agents/new_chat/test_otel_span.py @@ -65,8 +65,8 @@ class TestResolveToolName: def test_falls_back_to_tool_call_name(self) -> None: request = MagicMock() request.tool = None - request.tool_call = {"name": "web_search", "args": {}} - assert _resolve_tool_name(request) == "web_search" + request.tool_call = {"name": "create_automation", "args": {}} + assert _resolve_tool_name(request) == "create_automation" def test_unknown_when_nothing_resolves(self) -> None: request = MagicMock() @@ -278,8 +278,8 @@ class TestMiddlewareIntegration: request = MagicMock() request.tool = MagicMock() - request.tool.name = "web_search" + request.tool.name = "scrape_webpage" await mw.awrap_tool_call(request, handler) - assert errors == ["web_search"] + assert errors == ["scrape_webpage"] finally: ot.reload_for_tests() diff --git a/surfsense_backend/tests/unit/agents/new_chat/test_path_resolver.py b/surfsense_backend/tests/unit/agents/new_chat/test_path_resolver.py index 2617bff8e..ba9dc242b 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/test_path_resolver.py +++ b/surfsense_backend/tests/unit/agents/new_chat/test_path_resolver.py @@ -149,7 +149,7 @@ class TestVirtualPathToDoc: document = await virtual_path_to_doc( session, - search_space_id=5, + workspace_id=5, virtual_path=f"{DOCUMENTS_ROOT}/{encoded_basename}", ) assert document is target_doc @@ -169,7 +169,7 @@ class TestVirtualPathToDoc: document = await virtual_path_to_doc( session, - search_space_id=5, + workspace_id=5, virtual_path=f"{DOCUMENTS_ROOT}/Calendar_ Happy birthday!.xml", ) assert document is None @@ -191,7 +191,7 @@ class TestVirtualPathToDoc: document = await virtual_path_to_doc( session, - search_space_id=5, + workspace_id=5, virtual_path=f"{DOCUMENTS_ROOT}/Plain Note.xml", ) assert document is target_doc @@ -217,7 +217,7 @@ class TestVirtualPathToDoc: document = await virtual_path_to_doc( session, - search_space_id=5, + workspace_id=5, virtual_path=f"{DOCUMENTS_ROOT}/2025-W2.pdf.xml", ) assert document is target_doc @@ -239,7 +239,7 @@ class TestVirtualPathToDoc: document = await virtual_path_to_doc( session, - search_space_id=5, + workspace_id=5, virtual_path=f"{DOCUMENTS_ROOT}/2025-W2.pdf", ) assert document is target_doc diff --git a/surfsense_backend/tests/unit/agents/new_chat/test_plugin_loader.py b/surfsense_backend/tests/unit/agents/new_chat/test_plugin_loader.py index 9b3931549..6477bc672 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/test_plugin_loader.py +++ b/surfsense_backend/tests/unit/agents/new_chat/test_plugin_loader.py @@ -30,7 +30,7 @@ class _DummyMiddleware(AgentMiddleware): def _ctx() -> PluginContext: return PluginContext.build( - search_space_id=1, + workspace_id=1, user_id="u", thread_visibility="PRIVATE", # type: ignore[arg-type] llm=MagicMock(), @@ -165,12 +165,12 @@ class TestPluginContext: def test_build_includes_required_fields(self) -> None: llm = MagicMock() ctx = PluginContext.build( - search_space_id=42, + workspace_id=42, user_id="user-1", thread_visibility="PRIVATE", # type: ignore[arg-type] llm=llm, ) - assert ctx["search_space_id"] == 42 + assert ctx["workspace_id"] == 42 assert ctx["user_id"] == "user-1" assert ctx["llm"] is llm diff --git a/surfsense_backend/tests/unit/agents/new_chat/test_skills_backends.py b/surfsense_backend/tests/unit/agents/new_chat/test_skills_backends.py index 1c497d99b..f068a8ca4 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/test_skills_backends.py +++ b/surfsense_backend/tests/unit/agents/new_chat/test_skills_backends.py @@ -11,7 +11,7 @@ from app.agents.chat.multi_agent_chat.main_agent.skills.backends import ( SKILLS_BUILTIN_PREFIX, SKILLS_SPACE_PREFIX, BuiltinSkillsBackend, - SearchSpaceSkillsBackend, + WorkspaceSkillsBackend, build_skills_backend_factory, default_skills_sources, ) @@ -176,7 +176,7 @@ class _FakeKBBackend: return out -class TestSearchSpaceSkillsBackend: +class TestWorkspaceSkillsBackend: def test_remaps_paths_when_listing(self) -> None: listing = [ {"path": "/documents/_skills/policy", "is_dir": True}, @@ -184,7 +184,7 @@ class TestSearchSpaceSkillsBackend: {"path": "/documents/other-folder/x.md", "is_dir": False}, ] kb = _FakeKBBackend(listing=listing, file_contents={}) - backend = SearchSpaceSkillsBackend(kb) + backend = WorkspaceSkillsBackend(kb) infos = asyncio.run(backend.als_info("/")) assert kb.last_ls_path == "/documents/_skills" paths = [info["path"] for info in infos] @@ -200,7 +200,7 @@ class TestSearchSpaceSkillsBackend: "/documents/_skills/policy/SKILL.md": b"---\nname: policy\n---\n", }, ) - backend = SearchSpaceSkillsBackend(kb) + backend = WorkspaceSkillsBackend(kb) responses = asyncio.run(backend.adownload_files(["/policy/SKILL.md"])) assert kb.last_download_paths == ["/documents/_skills/policy/SKILL.md"] assert responses[0].path == "/policy/SKILL.md" @@ -208,7 +208,7 @@ class TestSearchSpaceSkillsBackend: assert responses[0].content is not None def test_sync_methods_raise_not_implemented(self) -> None: - backend = SearchSpaceSkillsBackend(_FakeKBBackend([], {})) + backend = WorkspaceSkillsBackend(_FakeKBBackend([], {})) with pytest.raises(NotImplementedError): backend.ls_info("/") with pytest.raises(NotImplementedError): @@ -221,7 +221,7 @@ class TestSearchSpaceSkillsBackend: ], file_contents={}, ) - backend = SearchSpaceSkillsBackend(kb, kb_root="/skills_admin") + backend = WorkspaceSkillsBackend(kb, kb_root="/skills_admin") infos = asyncio.run(backend.als_info("/")) assert kb.last_ls_path == "/skills_admin" assert infos[0]["path"] == "/x" diff --git a/surfsense_backend/tests/unit/agents/new_chat/tools/test_resume_page_limits.py b/surfsense_backend/tests/unit/agents/new_chat/tools/test_resume_page_limits.py index 61fa87b76..5dbdfd7ae 100644 --- a/surfsense_backend/tests/unit/agents/new_chat/tools/test_resume_page_limits.py +++ b/surfsense_backend/tests/unit/agents/new_chat/tools/test_resume_page_limits.py @@ -148,7 +148,7 @@ async def test_generate_resume_defaults_to_one_page_target(monkeypatch) -> None: monkeypatch.setattr(resume_tool, "_compile_typst", lambda _source: b"pdf") monkeypatch.setattr(resume_tool, "_count_pdf_pages", lambda _pdf: 1) - tool = resume_tool.create_generate_resume_tool(search_space_id=1, thread_id=1) + tool = resume_tool.create_generate_resume_tool(workspace_id=1, thread_id=1) result = await _invoke(tool, {"user_info": "Jane Doe experience"}) assert result["status"] == "ready" @@ -178,7 +178,7 @@ async def test_generate_resume_compresses_when_over_limit(monkeypatch) -> None: page_counts = iter([2, 1]) monkeypatch.setattr(resume_tool, "_count_pdf_pages", lambda _pdf: next(page_counts)) - tool = resume_tool.create_generate_resume_tool(search_space_id=1, thread_id=1) + tool = resume_tool.create_generate_resume_tool(workspace_id=1, thread_id=1) result = await _invoke(tool, {"user_info": "Jane Doe experience", "max_pages": 1}) assert result["status"] == "ready" @@ -213,7 +213,7 @@ async def test_generate_resume_returns_ready_when_target_not_met(monkeypatch) -> page_counts = iter([3, 3, 2]) monkeypatch.setattr(resume_tool, "_count_pdf_pages", lambda _pdf: next(page_counts)) - tool = resume_tool.create_generate_resume_tool(search_space_id=1, thread_id=1) + tool = resume_tool.create_generate_resume_tool(workspace_id=1, thread_id=1) result = await _invoke(tool, {"user_info": "Jane Doe experience", "max_pages": 1}) assert result["status"] == "ready" @@ -246,7 +246,7 @@ async def test_generate_resume_fails_when_hard_limit_exceeded(monkeypatch) -> No page_counts = iter([7, 6, 6]) monkeypatch.setattr(resume_tool, "_count_pdf_pages", lambda _pdf: next(page_counts)) - tool = resume_tool.create_generate_resume_tool(search_space_id=1, thread_id=1) + tool = resume_tool.create_generate_resume_tool(workspace_id=1, thread_id=1) result = await _invoke(tool, {"user_info": "Jane Doe experience", "max_pages": 1}) assert result["status"] == "failed" diff --git a/surfsense_backend/tests/unit/automations/actions/builtin/agent_task/test_dependencies.py b/surfsense_backend/tests/unit/automations/actions/builtin/agent_task/test_dependencies.py index f5709e517..895eae571 100644 --- a/surfsense_backend/tests/unit/automations/actions/builtin/agent_task/test_dependencies.py +++ b/surfsense_backend/tests/unit/automations/actions/builtin/agent_task/test_dependencies.py @@ -1,10 +1,10 @@ """Lock the runtime model-policy backstop in ``build_dependencies``. Automations resolve their LLM from the *captured* ``chat_model_id`` snapshot (so -runs are insulated from later chat/search-space model changes), and the model +runs are insulated from later chat/workspace model changes), and the model policy is re-checked at run time so a captured model that is no longer billable fails the run clearly. When no snapshot is present, resolution falls back to the -live search space. +live workspace. """ from __future__ import annotations @@ -25,66 +25,66 @@ pytestmark = pytest.mark.unit class _FakeSession: - """Minimal async session whose ``get`` returns a preset search space.""" + """Minimal async session whose ``get`` returns a preset workspace.""" - def __init__(self, search_space: Any) -> None: - self._search_space = search_space + def __init__(self, workspace: Any) -> None: + self._workspace = workspace async def get(self, _model: Any, _pk: int) -> Any: - return self._search_space + return self._workspace @pytest.fixture def patched_side_effects(monkeypatch: pytest.MonkeyPatch): """Stub the connector setup + checkpointer so only policy/LLM logic runs.""" - async def _fake_setup(_session, *, search_space_id): - return (SimpleNamespace(name="connector"), "fc-key") + async def _fake_setup(_session, *, workspace_id): + return SimpleNamespace(name="connector") - monkeypatch.setattr(deps_mod, "setup_connector_and_firecrawl", _fake_setup) + monkeypatch.setattr(deps_mod, "setup_connector_service", _fake_setup) return None async def test_build_dependencies_resolves_captured_chat_model_id( monkeypatch: pytest.MonkeyPatch, patched_side_effects ) -> None: - """The bundle loads with the *captured* ``chat_model_id``, not the live search space.""" + """The bundle loads with the *captured* ``chat_model_id``, not the live workspace.""" captured: dict[str, Any] = {} - async def _fake_load(_session, *, config_id, search_space_id): + async def _fake_load(_session, *, config_id, workspace_id): captured["config_id"] = config_id - captured["search_space_id"] = search_space_id + captured["workspace_id"] = workspace_id return (SimpleNamespace(name="llm"), SimpleNamespace(name="agent_config"), None) monkeypatch.setattr(deps_mod, "load_llm_bundle", _fake_load) # Captured path validates the explicit ids; passes for this test. monkeypatch.setattr(deps_mod, "assert_models_billable", lambda **_kw: None) - # A different value on the live search space proves we ignore it when a + # A different value on the live workspace proves we ignore it when a # snapshot is supplied. monkeypatch.setattr( deps_mod, "assert_automation_models_billable", - lambda _ss: pytest.fail("search-space policy should not run on captured path"), + lambda _ss: pytest.fail("workspace policy should not run on captured path"), ) - search_space = SimpleNamespace(chat_model_id=-99) + workspace = SimpleNamespace(chat_model_id=-99) result = await build_dependencies( - session=_FakeSession(search_space), - search_space_id=42, + session=_FakeSession(workspace), + workspace_id=42, chat_model_id=-7, image_gen_model_id=5, vision_model_id=-1, ) - assert captured == {"config_id": -7, "search_space_id": 42} + assert captured == {"config_id": -7, "workspace_id": 42} assert result.llm.name == "llm" - assert result.firecrawl_api_key == "fc-key" + assert result.connector_service.name == "connector" async def test_build_dependencies_validates_captured_ids( monkeypatch: pytest.MonkeyPatch, patched_side_effects ) -> None: - """The captured ids (not the search space) are what gets policy-checked.""" + """The captured ids (not the workspace) are what gets policy-checked.""" seen: dict[str, Any] = {} def _capture(**kwargs): @@ -92,14 +92,14 @@ async def test_build_dependencies_validates_captured_ids( monkeypatch.setattr(deps_mod, "assert_models_billable", _capture) - async def _fake_load(_session, *, config_id, search_space_id): + async def _fake_load(_session, *, config_id, workspace_id): return (SimpleNamespace(name="llm"), SimpleNamespace(name="agent_config"), None) monkeypatch.setattr(deps_mod, "load_llm_bundle", _fake_load) await build_dependencies( session=_FakeSession(SimpleNamespace(chat_model_id=0)), - search_space_id=42, + workspace_id=42, chat_model_id=-7, image_gen_model_id=5, vision_model_id=-1, @@ -132,20 +132,20 @@ async def test_build_dependencies_raises_on_captured_policy_violation( with pytest.raises(DependencyError): await build_dependencies( session=_FakeSession(SimpleNamespace(chat_model_id=-7)), - search_space_id=42, + workspace_id=42, chat_model_id=-7, image_gen_model_id=-2, vision_model_id=-1, ) -async def test_build_dependencies_falls_back_to_search_space( +async def test_build_dependencies_falls_back_to_workspace( monkeypatch: pytest.MonkeyPatch, patched_side_effects ) -> None: - """With no captured snapshot, resolve + validate the live search space.""" + """With no captured snapshot, resolve + validate the live workspace.""" captured: dict[str, Any] = {} - async def _fake_load(_session, *, config_id, search_space_id): + async def _fake_load(_session, *, config_id, workspace_id): captured["config_id"] = config_id return (SimpleNamespace(name="llm"), SimpleNamespace(name="agent_config"), None) @@ -157,18 +157,16 @@ async def test_build_dependencies_falls_back_to_search_space( lambda **_kw: pytest.fail("captured policy should not run on fallback path"), ) - search_space = SimpleNamespace(chat_model_id=-7) - result = await build_dependencies( - session=_FakeSession(search_space), search_space_id=42 - ) + workspace = SimpleNamespace(chat_model_id=-7) + result = await build_dependencies(session=_FakeSession(workspace), workspace_id=42) assert captured == {"config_id": -7} assert result.llm.name == "llm" -async def test_build_dependencies_raises_when_search_space_missing( +async def test_build_dependencies_raises_when_workspace_missing( patched_side_effects, ) -> None: - """A missing search space (fallback path) surfaces as a ``DependencyError``.""" + """A missing workspace (fallback path) surfaces as a ``DependencyError``.""" with pytest.raises(DependencyError): - await build_dependencies(session=_FakeSession(None), search_space_id=999) + await build_dependencies(session=_FakeSession(None), workspace_id=999) diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/__init__.py b/surfsense_backend/tests/unit/automations/api/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/notion/__init__.py rename to surfsense_backend/tests/unit/automations/api/__init__.py diff --git a/surfsense_backend/tests/unit/automations/runtime/test_execute_step.py b/surfsense_backend/tests/unit/automations/runtime/test_execute_step.py index 9b203fdba..c2fedbcaf 100644 --- a/surfsense_backend/tests/unit/automations/runtime/test_execute_step.py +++ b/surfsense_backend/tests/unit/automations/runtime/test_execute_step.py @@ -34,7 +34,7 @@ def _action_context() -> ActionContext: session=cast(AsyncSession, None), run_id=1, step_id="s1", - search_space_id=1, + workspace_id=1, creator_user_id=None, ) diff --git a/surfsense_backend/tests/unit/automations/runtime/test_executor_action_ctx.py b/surfsense_backend/tests/unit/automations/runtime/test_executor_action_ctx.py index c89624fbf..646c0fcc0 100644 --- a/surfsense_backend/tests/unit/automations/runtime/test_executor_action_ctx.py +++ b/surfsense_backend/tests/unit/automations/runtime/test_executor_action_ctx.py @@ -1,6 +1,6 @@ """Lock that the executor propagates the captured model snapshot into the ``ActionContext``, so runs resolve their own model (insulated from chat / -search-space changes) and not the live search space. +workspace changes) and not the live workspace. """ from __future__ import annotations @@ -21,7 +21,7 @@ pytestmark = pytest.mark.unit def _run() -> SimpleNamespace: return SimpleNamespace( id=1, - automation=SimpleNamespace(search_space_id=42, created_by_user_id="u-1"), + automation=SimpleNamespace(workspace_id=42, created_by_user_id="u-1"), ) @@ -39,7 +39,7 @@ def test_build_action_ctx_propagates_captured_models() -> None: models, ) - assert ctx.search_space_id == 42 + assert ctx.workspace_id == 42 assert ctx.chat_model_id == -1 assert ctx.image_gen_model_id == 5 assert ctx.vision_model_id == -1 diff --git a/surfsense_backend/tests/unit/automations/schemas/api/test_api_automation.py b/surfsense_backend/tests/unit/automations/schemas/api/test_api_automation.py index 6ae3ce794..1471778e1 100644 --- a/surfsense_backend/tests/unit/automations/schemas/api/test_api_automation.py +++ b/surfsense_backend/tests/unit/automations/schemas/api/test_api_automation.py @@ -17,11 +17,11 @@ _VALID_DEFINITION = { def test_automation_create_accepts_valid_minimal_payload() -> None: - """Happy path: just search_space_id, name, and a valid definition. + """Happy path: just workspace_id, name, and a valid definition. Triggers default to ``[]`` so users can attach them later.""" payload = AutomationCreate.model_validate( { - "search_space_id": 1, + "workspace_id": 1, "name": "Daily digest", "definition": _VALID_DEFINITION, } @@ -39,7 +39,7 @@ def test_automation_create_cascades_validation_into_nested_definition() -> None: with pytest.raises(ValidationError): AutomationCreate.model_validate( { - "search_space_id": 1, + "workspace_id": 1, "name": "Bad", "definition": {"name": "X", "plan": []}, # empty plan } @@ -51,7 +51,7 @@ def test_automation_create_rejects_unknown_top_level_field() -> None: with pytest.raises(ValidationError): AutomationCreate.model_validate( { - "search_space_id": 1, + "workspace_id": 1, "name": "X", "definition": _VALID_DEFINITION, "owner": "tg", # not allowed @@ -64,7 +64,7 @@ def test_automation_create_rejects_empty_name() -> None: with pytest.raises(ValidationError): AutomationCreate.model_validate( { - "search_space_id": 1, + "workspace_id": 1, "name": "", "definition": _VALID_DEFINITION, } diff --git a/surfsense_backend/tests/unit/automations/services/test_automation_service_policy.py b/surfsense_backend/tests/unit/automations/services/test_automation_service_policy.py index 477d927e2..ce13512a6 100644 --- a/surfsense_backend/tests/unit/automations/services/test_automation_service_policy.py +++ b/surfsense_backend/tests/unit/automations/services/test_automation_service_policy.py @@ -1,6 +1,6 @@ """Lock creation-time model-policy enforcement in ``AutomationService``. -Creation (REST + manual builder) rejects search spaces whose models aren't +Creation (REST + manual builder) rejects workspaces whose models aren't billable for automations with HTTP 422, mirroring the runtime backstop. These tests isolate the new ``_assert_models_billable`` / ``model_eligibility`` paths without touching the DB commit. @@ -29,13 +29,13 @@ pytestmark = pytest.mark.unit class _FakeSession: - def __init__(self, search_space: Any) -> None: - self._search_space = search_space + def __init__(self, workspace: Any) -> None: + self._workspace = workspace self.added: list[Any] = [] self.commits = 0 async def get(self, _model: Any, _pk: int) -> Any: - return self._search_space + return self._workspace def add(self, obj: Any) -> None: self.added.append(obj) @@ -44,9 +44,9 @@ class _FakeSession: self.commits += 1 -def _service(search_space: Any) -> AutomationService: +def _service(workspace: Any) -> AutomationService: return AutomationService( - session=_FakeSession(search_space), + session=_FakeSession(workspace), auth=AuthContext.session(SimpleNamespace(id="u-1")), ) @@ -81,7 +81,7 @@ async def test_assert_models_billable_raises_422_on_violation( async def test_assert_models_billable_raises_404_when_missing( monkeypatch: pytest.MonkeyPatch, ) -> None: - """A missing search space is a 404, not a policy error.""" + """A missing workspace is a 404, not a policy error.""" monkeypatch.setattr( automation_mod, "assert_automation_models_billable", lambda _ss: None ) @@ -93,23 +93,23 @@ async def test_assert_models_billable_raises_404_when_missing( assert exc_info.value.status_code == 404 -async def test_assert_models_billable_returns_search_space_when_ok( +async def test_assert_models_billable_returns_workspace_when_ok( monkeypatch: pytest.MonkeyPatch, ) -> None: - """When the policy accepts, the loaded search space is returned for reuse.""" + """When the policy accepts, the loaded workspace is returned for reuse.""" monkeypatch.setattr( automation_mod, "assert_automation_models_billable", lambda _ss: None ) - search_space = SimpleNamespace(chat_model_id=-1) - service = _service(search_space) - assert await service._assert_models_billable(1) is search_space + workspace = SimpleNamespace(chat_model_id=-1) + service = _service(workspace) + assert await service._assert_models_billable(1) is workspace -async def test_create_injects_captured_models_from_search_space( +async def test_create_injects_captured_models_from_workspace( monkeypatch: pytest.MonkeyPatch, ) -> None: - """create() snapshots the search space's model prefs onto the definition.""" + """create() snapshots the workspace's model prefs onto the definition.""" monkeypatch.setattr( automation_mod, "assert_automation_models_billable", lambda _ss: None ) @@ -124,14 +124,14 @@ async def test_create_injects_captured_models_from_search_space( monkeypatch.setattr(AutomationService, "_get_with_triggers_or_raise", _return_added) - search_space = SimpleNamespace( + workspace = SimpleNamespace( chat_model_id=-1, image_gen_model_id=5, vision_model_id=-1, ) - service = _service(search_space) + service = _service(workspace) payload = AutomationCreate( - search_space_id=1, + workspace_id=1, name="A", definition=_definition(), ) @@ -148,7 +148,7 @@ async def test_create_injects_captured_models_from_search_space( async def test_create_treats_unset_prefs_as_auto_zero( monkeypatch: pytest.MonkeyPatch, ) -> None: - """``None`` search-space prefs are captured as ``0`` (Auto) ids.""" + """``None`` workspace prefs are captured as ``0`` (Auto) ids.""" monkeypatch.setattr( automation_mod, "assert_automation_models_billable", lambda _ss: None ) @@ -163,13 +163,13 @@ async def test_create_treats_unset_prefs_as_auto_zero( monkeypatch.setattr(AutomationService, "_get_with_triggers_or_raise", _return_added) - search_space = SimpleNamespace( + workspace = SimpleNamespace( chat_model_id=None, image_gen_model_id=None, vision_model_id=None, ) - service = _service(search_space) - payload = AutomationCreate(search_space_id=1, name="A", definition=_definition()) + service = _service(workspace) + payload = AutomationCreate(workspace_id=1, name="A", definition=_definition()) automation = await service.create(payload) @@ -185,7 +185,7 @@ async def test_create_honors_selected_models_when_provided( ) -> None: """When the payload carries ``definition.models`` they are validated + kept. - The search-space snapshot path is bypassed entirely (no + The workspace snapshot path is bypassed entirely (no ``assert_automation_models_billable`` call). """ @@ -217,7 +217,7 @@ async def test_create_honors_selected_models_when_provided( service = _service(SimpleNamespace(chat_model_id=-99)) payload = AutomationCreate( - search_space_id=1, + workspace_id=1, name="A", definition=_definition( models=AutomationModels( @@ -257,7 +257,7 @@ async def test_create_rejects_unbillable_selected_models( service = _service(SimpleNamespace(chat_model_id=-3)) payload = AutomationCreate( - search_space_id=1, + workspace_id=1, name="A", definition=_definition( models=AutomationModels( @@ -284,7 +284,7 @@ async def test_update_preserves_captured_models( "vision_model_id": -1, } existing = SimpleNamespace( - search_space_id=1, + workspace_id=1, definition={"name": "A", "plan": [], "models": captured}, version=3, ) @@ -315,7 +315,7 @@ async def test_update_honors_changed_models_when_valid( ) -> None: """A definition edit with a *changed* models block validates + keeps it.""" existing = SimpleNamespace( - search_space_id=1, + workspace_id=1, definition={ "name": "A", "plan": [], @@ -376,7 +376,7 @@ async def test_update_rejects_changed_unbillable_models( ) -> None: """A *changed* non-billable models block is rejected with HTTP 422.""" existing = SimpleNamespace( - search_space_id=1, + workspace_id=1, definition={ "name": "A", "plan": [], @@ -438,7 +438,7 @@ async def test_update_keeps_unchanged_models_without_revalidation( "vision_model_id": -1, } existing = SimpleNamespace( - search_space_id=1, + workspace_id=1, definition={"name": "A", "plan": [], "models": captured}, version=3, ) @@ -477,7 +477,7 @@ async def test_model_eligibility_authorizes_and_returns_payload( authorized: dict[str, Any] = {} async def _fake_check_permission(_session, _user, ss_id, permission, _msg): - authorized["search_space_id"] = ss_id + authorized["workspace_id"] = ss_id authorized["permission"] = permission monkeypatch.setattr(automation_mod, "check_permission", _fake_check_permission) @@ -488,8 +488,8 @@ async def test_model_eligibility_authorizes_and_returns_payload( ) service = _service(SimpleNamespace(chat_model_id=-2)) - result = await service.model_eligibility(search_space_id=5) + result = await service.model_eligibility(workspace_id=5) assert result == {"allowed": False, "violations": [{"kind": "image"}]} - assert authorized["search_space_id"] == 5 + assert authorized["workspace_id"] == 5 assert authorized["permission"] == "automations:read" diff --git a/surfsense_backend/tests/unit/automations/services/test_model_policy.py b/surfsense_backend/tests/unit/automations/services/test_model_policy.py index 574f6d9fd..654786d38 100644 --- a/surfsense_backend/tests/unit/automations/services/test_model_policy.py +++ b/surfsense_backend/tests/unit/automations/services/test_model_policy.py @@ -24,8 +24,8 @@ from app.automations.services.model_policy import ( pytestmark = pytest.mark.unit -def _search_space(*, llm: int | None, image: int | None, vision: int | None): - """Minimal stand-in for the ``SearchSpace`` ORM row the policy reads.""" +def _workspace(*, llm: int | None, image: int | None, vision: int | None): + """Minimal stand-in for the ``Workspace`` ORM row the policy reads.""" return SimpleNamespace( chat_model_id=llm, image_gen_model_id=image, @@ -95,15 +95,15 @@ def test_unknown_global_id_is_blocked(kind: str, patched_globals) -> None: def test_eligibility_all_billable(patched_globals) -> None: """Premium LLM + BYOK image + premium vision → allowed, no violations.""" - search_space = _search_space(llm=-1, image=5, vision=-1) - result = get_automation_model_eligibility(search_space) + workspace = _workspace(llm=-1, image=5, vision=-1) + result = get_automation_model_eligibility(workspace) assert result == {"allowed": True, "violations": []} def test_eligibility_reports_each_violation(patched_globals) -> None: """A free LLM, Auto image, and free vision each produce a violation.""" - search_space = _search_space(llm=-2, image=0, vision=-2) - result = get_automation_model_eligibility(search_space) + workspace = _workspace(llm=-2, image=0, vision=-2) + result = get_automation_model_eligibility(workspace) assert result["allowed"] is False kinds = {v["kind"] for v in result["violations"]} @@ -115,9 +115,9 @@ def test_eligibility_reports_each_violation(patched_globals) -> None: def test_assert_raises_with_violations(patched_globals) -> None: """``assert_automation_models_billable`` raises when any slot is blocked.""" - search_space = _search_space(llm=0, image=5, vision=-1) + workspace = _workspace(llm=0, image=5, vision=-1) with pytest.raises(AutomationModelPolicyError) as exc_info: - assert_automation_models_billable(search_space) + assert_automation_models_billable(workspace) assert len(exc_info.value.violations) == 1 assert exc_info.value.violations[0]["kind"] == "chat" @@ -125,8 +125,8 @@ def test_assert_raises_with_violations(patched_globals) -> None: def test_assert_passes_when_all_billable(patched_globals) -> None: """No exception when every slot is premium or BYOK.""" - search_space = _search_space(llm=3, image=-1, vision=4) - assert assert_automation_models_billable(search_space) is None + workspace = _workspace(llm=3, image=-1, vision=4) + assert assert_automation_models_billable(workspace) is None # --- ID-based core (used by the runtime backstop against captured snapshots) --- @@ -170,9 +170,9 @@ def test_assert_models_billable_passes(patched_globals) -> None: ) -def test_search_space_wrapper_delegates_to_core(patched_globals) -> None: - """The search-space wrapper produces the same result as the ID core.""" - search_space = _search_space(llm=-2, image=0, vision=-2) - assert get_automation_model_eligibility(search_space) == get_model_eligibility( +def test_workspace_wrapper_delegates_to_core(patched_globals) -> None: + """The workspace wrapper produces the same result as the ID core.""" + workspace = _workspace(llm=-2, image=0, vision=-2) + assert get_automation_model_eligibility(workspace) == get_model_eligibility( chat_model_id=-2, image_gen_model_id=0, vision_model_id=-2 ) diff --git a/surfsense_backend/tests/unit/automations/templating/test_context.py b/surfsense_backend/tests/unit/automations/templating/test_context.py index 54f372e77..b6bb75e10 100644 --- a/surfsense_backend/tests/unit/automations/templating/test_context.py +++ b/surfsense_backend/tests/unit/automations/templating/test_context.py @@ -25,7 +25,7 @@ def test_build_run_context_exposes_run_inputs_and_steps_namespaces() -> None: automation_id=7, automation_name="Weekly digest", automation_version=3, - search_space_id=1, + workspace_id=1, creator_id=creator, trigger_id=11, trigger_type="schedule", @@ -41,7 +41,7 @@ def test_build_run_context_exposes_run_inputs_and_steps_namespaces() -> None: "automation_id": 7, "automation_name": "Weekly digest", "automation_version": 3, - "search_space_id": 1, + "workspace_id": 1, "creator_id": creator, "trigger_id": 11, "trigger_type": "schedule", diff --git a/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_filter.py b/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_filter.py index 9ddc3503a..7f6b5a3b4 100644 --- a/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_filter.py +++ b/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_filter.py @@ -21,9 +21,9 @@ def test_scalar_value_is_implicit_equality() -> None: def test_multiple_fields_are_anded() -> None: - flt = {"document_type": "FILE", "search_space_id": 7} - assert matches(flt, {"document_type": "FILE", "search_space_id": 7}) is True - assert matches(flt, {"document_type": "FILE", "search_space_id": 9}) is False + flt = {"document_type": "FILE", "workspace_id": 7} + assert matches(flt, {"document_type": "FILE", "workspace_id": 7}) is True + assert matches(flt, {"document_type": "FILE", "workspace_id": 9}) is False def test_gt_operator_compares_greater_than() -> None: @@ -97,12 +97,12 @@ def test_missing_field_never_matches_and_never_raises() -> None: def test_logical_operators_compose_with_fields() -> None: flt = { - "search_space_id": 7, + "workspace_id": 7, "$or": [{"document_type": "FILE"}, {"document_type": "WEBPAGE"}], } - assert matches(flt, {"search_space_id": 7, "document_type": "FILE"}) is True - assert matches(flt, {"search_space_id": 9, "document_type": "FILE"}) is False - assert matches(flt, {"search_space_id": 7, "document_type": "SLACK"}) is False + assert matches(flt, {"workspace_id": 7, "document_type": "FILE"}) is True + assert matches(flt, {"workspace_id": 9, "document_type": "FILE"}) is False + assert matches(flt, {"workspace_id": 7, "document_type": "SLACK"}) is False def test_unknown_field_operator_raises_filter_error() -> None: diff --git a/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_inputs.py b/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_inputs.py index e6191d7a7..a4302e4f0 100644 --- a/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_inputs.py +++ b/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_inputs.py @@ -14,7 +14,7 @@ def test_runtime_inputs_flatten_payload_with_event_metadata() -> None: event = Event( event_type="document.indexed", payload={"document_id": 42, "document_type": "FILE"}, - search_space_id=7, + workspace_id=7, ) inputs = event_runtime_inputs(event) diff --git a/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_match.py b/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_match.py index d83db97a4..e43e53e2e 100644 --- a/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_match.py +++ b/surfsense_backend/tests/unit/automations/triggers/builtin/event/test_match.py @@ -11,7 +11,7 @@ pytestmark = pytest.mark.unit def _event(event_type: str = "document.indexed", **payload) -> Event: - return Event(event_type=event_type, payload=payload, search_space_id=7) + return Event(event_type=event_type, payload=payload, workspace_id=7) def test_matches_when_event_type_equal_and_filter_passes() -> None: diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/__init__.py b/surfsense_backend/tests/unit/capabilities/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/slack/__init__.py rename to surfsense_backend/tests/unit/capabilities/__init__.py diff --git a/surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/__init__.py b/surfsense_backend/tests/unit/capabilities/access/__init__.py similarity index 100% rename from surfsense_backend/app/agents/chat/multi_agent_chat/subagents/connectors/teams/__init__.py rename to surfsense_backend/tests/unit/capabilities/access/__init__.py diff --git a/surfsense_backend/tests/unit/capabilities/access/test_agent_tools.py b/surfsense_backend/tests/unit/capabilities/access/test_agent_tools.py new file mode 100644 index 000000000..b2173292f --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/access/test_agent_tools.py @@ -0,0 +1,138 @@ +"""The agent door (05): generate one LangChain tool per registry verb.""" + +from types import SimpleNamespace +from unittest.mock import AsyncMock + +import pytest +from pydantic import BaseModel, Field + +from app.capabilities.core.types import BillingUnit, Capability +from app.services.web_crawl_credit_service import InsufficientCreditsError + +pytestmark = pytest.mark.asyncio + + +class _EchoInput(BaseModel): + text: str = Field(description="The text to echo back.") + + +class _EchoOutput(BaseModel): + echoed: str + + @property + def billable_units(self) -> int: + return 1 + + +def _capability( + *, name: str, output: _EchoOutput, unit=BillingUnit.WEB_CRAWL +) -> Capability: + async def _executor(payload: _EchoInput) -> _EchoOutput: + _executor.seen = payload + return output + + cap = Capability( + name=name, + description=f"{name} does a thing.", + input_schema=_EchoInput, + output_schema=_EchoOutput, + executor=_executor, + billing_unit=unit, + ) + cap.executor.seen = None # type: ignore[attr-defined] + return cap + + +class _FakeSessionCtx: + async def __aenter__(self): + return SimpleNamespace() + + async def __aexit__(self, *exc): + return False + + +@pytest.fixture +def isolate(monkeypatch): + """Stub the billing session + charge/gate so tools never hit the DB.""" + from app.capabilities.core.access import agent as mod + + monkeypatch.setattr(mod, "async_session_maker", lambda: _FakeSessionCtx()) + charge = AsyncMock() + gate = AsyncMock() + monkeypatch.setattr(mod, "charge_capability", charge) + monkeypatch.setattr(mod, "gate_capability", gate) + return SimpleNamespace(module=mod, charge=charge, gate=gate) + + +def _verb_tool(tools, name: str): + """Pick one capability tool out of the list (readers are appended after).""" + return next(t for t in tools if t.name == name) + + +async def test_registry_becomes_one_tool_per_verb_plus_readers(isolate): + caps = [ + _capability(name="web.scrape", output=_EchoOutput(echoed="a")), + _capability(name="web.discover", output=_EchoOutput(echoed="b"), unit=None), + ] + + tools = isolate.module.build_capability_tools(workspace_id=7, capabilities=caps) + + by_name = {t.name: t for t in tools} + # One tool per verb, plus the two shared run-reader tools. + assert set(by_name) == {"web_scrape", "web_discover", "read_run", "search_run"} + assert by_name["web_scrape"].description == "web.scrape does a thing." + assert by_name["web_scrape"].args_schema is _EchoInput + + +async def test_input_field_docs_reach_the_model(isolate): + """Per-field descriptions must surface in the tool's args schema (LLM context).""" + cap = _capability(name="web.scrape", output=_EchoOutput(echoed="a")) + tools = isolate.module.build_capability_tools(workspace_id=7, capabilities=[cap]) + tool = _verb_tool(tools, "web_scrape") + + assert tool.args["text"]["description"] == "The text to echo back." + + +async def test_tool_runs_executor_and_returns_serialized_output(isolate): + cap = _capability(name="web.scrape", output=_EchoOutput(echoed="hi there")) + tools = isolate.module.build_capability_tools(workspace_id=7, capabilities=[cap]) + tool = _verb_tool(tools, "web_scrape") + + result = await tool.ainvoke({"text": "ping"}) + + # Fake session makes record_run fail -> no run_id key, plain serialized output. + assert result == {"echoed": "hi there"} + assert cap.executor.seen.text == "ping" + + +async def test_tool_charges_owner(isolate): + output = _EchoOutput(echoed="hi") + cap = _capability(name="web.scrape", output=output) + tools = isolate.module.build_capability_tools(workspace_id=7, capabilities=[cap]) + tool = _verb_tool(tools, "web_scrape") + + await tool.ainvoke({"text": "ping"}) + + isolate.charge.assert_awaited_once() + (charged_output, unit, ctx), _ = isolate.charge.call_args + assert charged_output is output + assert unit is BillingUnit.WEB_CRAWL + assert ctx.workspace_id == 7 + + +async def test_over_budget_returns_friendly_message(isolate): + cap = _capability(name="web.scrape", output=_EchoOutput(echoed="hi")) + isolate.gate.side_effect = InsufficientCreditsError( + message="This run would exceed your available credit.", + balance_micros=0, + required_micros=1_000_000, + ) + tools = isolate.module.build_capability_tools(workspace_id=7, capabilities=[cap]) + tool = _verb_tool(tools, "web_scrape") + + result = await tool.ainvoke({"text": "ping"}) + + assert isinstance(result, str) + assert "credit" in result.lower() + assert cap.executor.seen is None + isolate.charge.assert_not_awaited() diff --git a/surfsense_backend/tests/unit/capabilities/access/test_rate_limit.py b/surfsense_backend/tests/unit/capabilities/access/test_rate_limit.py new file mode 100644 index 000000000..1762c146e --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/access/test_rate_limit.py @@ -0,0 +1,37 @@ +"""Per-workspace rate limit: a secondary guard behind the credit meter-gate (05).""" + +import pytest +from fastapi import HTTPException +from starlette.requests import Request + +from app.capabilities.core.access import rate_limit + + +def _request(workspace_id: int) -> Request: + return Request({"type": "http", "path_params": {"workspace_id": workspace_id}}) + + +@pytest.mark.asyncio +async def test_passes_at_the_limit(monkeypatch): + monkeypatch.setattr( + rate_limit, "_incr", lambda *a, **k: rate_limit.CAPABILITY_RATE_LIMIT_PER_MINUTE + ) + await rate_limit.enforce_capability_rate_limit(_request(1)) + + +@pytest.mark.asyncio +async def test_blocks_over_the_limit(monkeypatch): + monkeypatch.setattr( + rate_limit, + "_incr", + lambda *a, **k: rate_limit.CAPABILITY_RATE_LIMIT_PER_MINUTE + 1, + ) + with pytest.raises(HTTPException) as exc: + await rate_limit.enforce_capability_rate_limit(_request(1)) + assert exc.value.status_code == 429 + + +def test_memory_fallback_counts_within_window(): + rate_limit._memory.clear() + assert rate_limit._incr_memory("k", window_seconds=60) == 1 + assert rate_limit._incr_memory("k", window_seconds=60) == 2 diff --git a/surfsense_backend/tests/unit/capabilities/access/test_rest_router.py b/surfsense_backend/tests/unit/capabilities/access/test_rest_router.py new file mode 100644 index 000000000..a406f29bd --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/access/test_rest_router.py @@ -0,0 +1,505 @@ +"""The REST door generator turns registry verbs into typed POST routes (05).""" + +from types import SimpleNamespace + +import pytest +from fastapi import FastAPI +from httpx import ASGITransport, AsyncClient +from pydantic import BaseModel + +from app.capabilities.core.types import Capability +from app.db import get_async_session +from app.users import get_auth_context + + +class _EchoInput(BaseModel): + value: str + + +class _EchoOutput(BaseModel): + echo: str + + +async def _echo_executor(payload: _EchoInput) -> _EchoOutput: + return _EchoOutput(echo=payload.value) + + +_ECHO = Capability( + name="test.echo", + description="Echo the input back for tests.", + input_schema=_EchoInput, + output_schema=_EchoOutput, + executor=_echo_executor, + billing_unit=None, +) + + +def _build_app(capabilities, monkeypatch) -> FastAPI: + """Mount the generated door with auth/workspace/session/rate-limit stubbed.""" + from app.capabilities.core.access import rest + from app.capabilities.core.access.rate_limit import enforce_capability_rate_limit + + monkeypatch.setattr(rest, "check_workspace_access", _noop_async, raising=True) + monkeypatch.setattr(rest, "_record_rest_run", _fake_record, raising=True) + + app = FastAPI() + app.include_router(rest.build_capabilities_router(capabilities), prefix="/api/v1") + app.dependency_overrides[get_auth_context] = lambda: SimpleNamespace(user=None) + app.dependency_overrides[enforce_capability_rate_limit] = _allow + + async def _session(): + yield SimpleNamespace() + + app.dependency_overrides[get_async_session] = _session + return app + + +async def _noop_async(*args, **kwargs) -> None: + return None + + +async def _fake_record(**kwargs) -> str: + """Stand-in for the DB-backed recorder so unit tests never touch a database.""" + return "test-run-id" + + +async def _allow() -> None: + return None + + +def _client(app: FastAPI) -> AsyncClient: + return AsyncClient(transport=ASGITransport(app=app), base_url="http://test") + + +@pytest.mark.asyncio +async def test_verb_is_exposed_as_typed_post_route(monkeypatch): + app = _build_app([_ECHO], monkeypatch) + async with _client(app) as client: + resp = await client.post( + "/api/v1/workspaces/7/scrapers/test/echo", + json={"value": "hi"}, + ) + assert resp.status_code == 200 + assert resp.json() == {"echo": "hi"} + assert resp.headers["X-Run-Id"] == "run_test-run-id" + + +@pytest.mark.asyncio +async def test_input_is_validated_against_the_verb_schema(monkeypatch): + app = _build_app([_ECHO], monkeypatch) + async with _client(app) as client: + resp = await client.post( + "/api/v1/workspaces/7/scrapers/test/echo", + json={"wrong": "field"}, + ) + assert resp.status_code == 422 + + +def test_registered_verbs_appear_on_rest(): + """A verb in the registry shows up as a route with no per-verb wiring.""" + import app.capabilities.web # noqa: F401 (registers web.* at import) + from app.capabilities.core.access import rest + + router = rest.build_capabilities_router() + paths = {route.path for route in router.routes} + assert "/workspaces/{workspace_id}/scrapers/web/crawl" in paths + + +@pytest.mark.asyncio +async def test_capabilities_endpoint_lists_verbs_with_input_schema(monkeypatch): + """The playground reads verb identity + input JSON schema from one GET.""" + app = _build_app([_ECHO], monkeypatch) + async with _client(app) as client: + resp = await client.get("/api/v1/workspaces/7/scrapers/capabilities") + assert resp.status_code == 200 + body = resp.json() + assert len(body) == 1 + entry = body[0] + assert entry["name"] == "test.echo" + assert entry["description"] == "Echo the input back for tests." + # The schemas are the pydantic models' JSON schemas: the form renders the + # input schema, the API reference docs render both. + assert "value" in entry["input_schema"]["properties"] + assert "properties" in entry["output_schema"] + + +@pytest.mark.asyncio +async def test_capabilities_endpoint_exposes_live_pricing(monkeypatch): + """Billed verbs report their per-item rate; free verbs report an empty list.""" + from app.capabilities.core.types import BillingUnit + from app.config import config + + monkeypatch.setattr(config, "PLATFORM_SCRAPE_BILLING_ENABLED", True) + monkeypatch.setattr(config, "YOUTUBE_MICROS_PER_VIDEO", 2500) + + billed = Capability( + name="test.billed", + description="Billed verb for tests.", + input_schema=_EchoInput, + output_schema=_EchoOutput, + executor=_echo_executor, + billing_unit=BillingUnit.YOUTUBE_VIDEO, + ) + + app = _build_app([_ECHO, billed], monkeypatch) + async with _client(app) as client: + resp = await client.get("/api/v1/workspaces/7/scrapers/capabilities") + assert resp.status_code == 200 + by_name = {entry["name"]: entry for entry in resp.json()} + assert by_name["test.echo"]["pricing"] == [] + assert by_name["test.billed"]["pricing"] == [ + {"unit": "video", "micros_per_unit": 2500} + ] + + # Rates are read live: a config retune shows up without a router rebuild. + monkeypatch.setattr(config, "PLATFORM_SCRAPE_BILLING_ENABLED", False) + async with _client(app) as client: + resp = await client.get("/api/v1/workspaces/7/scrapers/capabilities") + assert resp.json()[1]["pricing"] == [] + + +@pytest.mark.asyncio +async def test_over_budget_is_blocked_before_the_executor(monkeypatch): + from app.capabilities.core.access import rest + from app.services.web_crawl_credit_service import InsufficientCreditsError + + async def _raise(*args, **kwargs): + raise InsufficientCreditsError( + message="over budget", balance_micros=0, required_micros=1000 + ) + + monkeypatch.setattr(rest, "gate_capability", _raise, raising=True) + + app = _build_app([_ECHO], monkeypatch) + async with _client(app) as client: + resp = await client.post( + "/api/v1/workspaces/7/scrapers/test/echo", + json={"value": "hi"}, + ) + assert resp.status_code == 402 + + +@pytest.mark.asyncio +async def test_rate_limit_blocks_the_workspace(monkeypatch): + """The generated route enforces the per-workspace limit (429).""" + from app.capabilities.core.access import rate_limit, rest + + monkeypatch.setattr(rest, "check_workspace_access", _noop_async, raising=True) + monkeypatch.setattr( + rate_limit, + "_incr", + lambda *a, **k: rate_limit.CAPABILITY_RATE_LIMIT_PER_MINUTE + 1, + ) + + app = FastAPI() + app.include_router(rest.build_capabilities_router([_ECHO]), prefix="/api/v1") + app.dependency_overrides[get_auth_context] = lambda: SimpleNamespace(user=None) + + async def _session(): + yield SimpleNamespace() + + app.dependency_overrides[get_async_session] = _session + + async with _client(app) as client: + resp = await client.post( + "/api/v1/workspaces/7/scrapers/test/echo", + json={"value": "hi"}, + ) + assert resp.status_code == 429 + + +def _register_surfsense_handler(app: FastAPI) -> None: + """Minimal stand-in for the app's global SurfSenseError handler.""" + from starlette.responses import JSONResponse + + from app.exceptions import SurfSenseError + + async def _handler(_request, exc: SurfSenseError): + return JSONResponse( + status_code=exc.status_code, + content={"code": exc.code, "message": exc.message}, + ) + + app.add_exception_handler(SurfSenseError, _handler) + + +@pytest.mark.asyncio +async def test_executor_fault_becomes_502(monkeypatch): + """Any non-SurfSense executor error is surfaced as a clean 502, not a 500.""" + + async def _boom(_payload: _EchoInput) -> _EchoOutput: + raise RuntimeError("upstream provider exploded") + + boom = Capability( + name="test.boom", + description="Always fails for tests.", + input_schema=_EchoInput, + output_schema=_EchoOutput, + executor=_boom, + billing_unit=None, + ) + + app = _build_app([boom], monkeypatch) + _register_surfsense_handler(app) + async with _client(app) as client: + resp = await client.post( + "/api/v1/workspaces/7/scrapers/test/boom", + json={"value": "hi"}, + ) + assert resp.status_code == 502 + assert resp.json()["code"] == "CAPABILITY_UPSTREAM_ERROR" + + +@pytest.mark.asyncio +async def test_surfsense_error_passes_through(monkeypatch): + """Intentional, status-carrying errors (e.g. a 403 wall) are not remapped.""" + from app.exceptions import ForbiddenError + + async def _forbidden(_payload: _EchoInput) -> _EchoOutput: + raise ForbiddenError("sign in required", code="GOOGLE_SIGNIN_REQUIRED") + + forbidden = Capability( + name="test.forbidden", + description="Raises a domain 403 for tests.", + input_schema=_EchoInput, + output_schema=_EchoOutput, + executor=_forbidden, + billing_unit=None, + ) + + app = _build_app([forbidden], monkeypatch) + _register_surfsense_handler(app) + async with _client(app) as client: + resp = await client.post( + "/api/v1/workspaces/7/scrapers/test/forbidden", + json={"value": "hi"}, + ) + assert resp.status_code == 403 + assert resp.json()["code"] == "GOOGLE_SIGNIN_REQUIRED" + + +def _fake_run_row(**overrides): + from datetime import UTC, datetime + from uuid import uuid4 + + defaults = { + "id": uuid4(), + "capability": "test.echo", + "origin": "api", + "status": "success", + "item_count": 2, + "char_count": 42, + "duration_ms": 10, + "cost_micros": None, + "error": None, + "created_at": datetime.now(UTC), + "thread_id": None, + "input": {"value": "hi"}, + "output_text": '{"echo": "hi"}', + "progress": None, + } + defaults.update(overrides) + return SimpleNamespace(**defaults) + + +def _build_app_with_rows(monkeypatch, rows): + """App whose fake session answers select() with the given Run-like rows.""" + from app.capabilities.core.access import rest + + monkeypatch.setattr(rest, "check_workspace_access", _noop_async, raising=True) + + class _Result: + def scalars(self): + return self + + def all(self): + return rows + + def scalar_one_or_none(self): + return rows[0] if rows else None + + class _Session: + async def execute(self, stmt): + return _Result() + + app = FastAPI() + app.include_router(rest.build_capabilities_router([]), prefix="/api/v1") + app.dependency_overrides[get_auth_context] = lambda: SimpleNamespace(user=None) + + async def _session(): + yield _Session() + + app.dependency_overrides[get_async_session] = _session + return app + + +@pytest.mark.asyncio +async def test_runs_list_returns_metadata_without_output(monkeypatch): + row = _fake_run_row() + app = _build_app_with_rows(monkeypatch, [row]) + async with _client(app) as client: + resp = await client.get("/api/v1/workspaces/7/scrapers/runs") + assert resp.status_code == 200 + [item] = resp.json() + assert item["id"] == f"run_{row.id}" + assert item["capability"] == "test.echo" + assert "output_text" not in item # list is metadata-only + + +@pytest.mark.asyncio +async def test_run_detail_includes_output(monkeypatch): + row = _fake_run_row() + app = _build_app_with_rows(monkeypatch, [row]) + async with _client(app) as client: + resp = await client.get(f"/api/v1/workspaces/7/scrapers/runs/run_{row.id}") + assert resp.status_code == 200 + body = resp.json() + assert body["output_text"] == '{"echo": "hi"}' + assert body["input"] == {"value": "hi"} + + +@pytest.mark.asyncio +async def test_run_detail_404s(monkeypatch): + app = _build_app_with_rows(monkeypatch, []) + async with _client(app) as client: + missing = await client.get( + "/api/v1/workspaces/7/scrapers/runs/run_00000000-0000-0000-0000-000000000000" + ) + malformed = await client.get("/api/v1/workspaces/7/scrapers/runs/garbage") + assert missing.status_code == 404 + assert malformed.status_code == 404 # bad UUID must not become a 500 + + +@pytest.mark.asyncio +async def test_success_charges_once(monkeypatch): + from unittest.mock import AsyncMock + + from app.capabilities.core.access import rest + + charge = AsyncMock() + monkeypatch.setattr(rest, "charge_capability", charge, raising=True) + + app = _build_app([_ECHO], monkeypatch) + async with _client(app) as client: + resp = await client.post( + "/api/v1/workspaces/7/scrapers/test/echo", + json={"value": "hi"}, + ) + assert resp.status_code == 200 + charge.assert_awaited_once() + (output, unit, ctx), _ = charge.call_args + assert isinstance(output, _EchoOutput) + assert unit is None + assert ctx.workspace_id == 7 + + +@pytest.mark.asyncio +async def test_async_mode_returns_202_and_pending_run(monkeypatch): + """``?mode=async`` inserts a pending run and returns its id without blocking.""" + from unittest.mock import AsyncMock + + from app.capabilities.core.access import rest + + monkeypatch.setattr( + rest, "create_pending_run", AsyncMock(return_value="async-id"), raising=True + ) + # Don't actually run the scrape in the background during this unit test. + monkeypatch.setattr(rest, "_execute_async_run", AsyncMock(), raising=True) + + app = _build_app([_ECHO], monkeypatch) + async with _client(app) as client: + resp = await client.post( + "/api/v1/workspaces/7/scrapers/test/echo?mode=async", + json={"value": "hi"}, + ) + assert resp.status_code == 202 + assert resp.json() == {"run_id": "run_async-id", "status": "running"} + + +@pytest.mark.asyncio +async def test_run_events_replays_buffer_then_finishes(monkeypatch): + """The SSE endpoint replays buffered events and closes on ``run.finished``.""" + from app.capabilities.core.events import run_event_bus + + row = _fake_run_row(status="running") + raw = str(row.id) + run_event_bus.publish( + raw, {"type": "run.progress", "phase": "scraping", "current": 1} + ) + run_event_bus.publish( + raw, {"type": "run.finished", "status": "success", "item_count": 2} + ) + + app = _build_app_with_rows(monkeypatch, [row]) + try: + async with _client(app) as client: + resp = await client.get( + f"/api/v1/workspaces/7/scrapers/runs/run_{raw}/events" + ) + assert resp.status_code == 200 + body = resp.text + assert '"type": "run.progress"' in body + assert '"type": "run.finished"' in body + assert '"status": "success"' in body + finally: + run_event_bus.close(raw) + + +@pytest.mark.asyncio +async def test_cancel_finalizes_running_run(monkeypatch): + """Cancel signals the task, finalizes as ``cancelled``, and emits a terminal.""" + import asyncio + from unittest.mock import AsyncMock + + from app.capabilities.core.access import rest + from app.capabilities.core.events import run_event_bus + + finalize = AsyncMock(return_value=True) + monkeypatch.setattr(rest, "finalize_run", finalize, raising=True) + + row = _fake_run_row(status="running") + raw = str(row.id) + task = asyncio.create_task(asyncio.sleep(60)) + run_event_bus.register_task(raw, task) + + app = _build_app_with_rows(monkeypatch, [row]) + try: + async with _client(app) as client: + resp = await client.post( + f"/api/v1/workspaces/7/scrapers/runs/run_{raw}/cancel" + ) + assert resp.status_code == 200 + assert resp.json() == {"run_id": f"run_{raw}", "status": "cancelled"} + finalize.assert_awaited_once() + assert finalize.await_args.kwargs["status"] == "cancelled" + finally: + task.cancel() + await asyncio.gather(task, return_exceptions=True) + run_event_bus.close(raw) + + +@pytest.mark.asyncio +async def test_cancel_conflicts_when_not_running(monkeypatch): + """Cancelling a terminal run is a 409, not a silent overwrite.""" + row = _fake_run_row(status="success") + app = _build_app_with_rows(monkeypatch, [row]) + async with _client(app) as client: + resp = await client.post( + f"/api/v1/workspaces/7/scrapers/runs/run_{row.id}/cancel" + ) + assert resp.status_code == 409 + + +def test_emit_progress_is_a_noop_without_context(): + """Scraper code can call ``emit_progress`` freely; unset context = no-op.""" + from app.capabilities.core.progress import emit_progress, progress_scope + + # No active reporter -> returns without raising, records nothing. + emit_progress("phase", "message", current=1, total=2, unit="item") + + # Inside a scope, coarse events are buffered for persistence. + with progress_scope() as reporter: + emit_progress("starting", "go") + emit_progress("done", current=5, unit="item") + assert len(reporter.coarse) == 2 + assert reporter.coarse[0]["phase"] == "starting" diff --git a/surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/shared/__init__.py b/surfsense_backend/tests/unit/capabilities/google_maps/__init__.py similarity index 100% rename from surfsense_backend/app/tasks/chat/streaming/handlers/tools/scrape_webpage/shared/__init__.py rename to surfsense_backend/tests/unit/capabilities/google_maps/__init__.py diff --git a/surfsense_backend/tests/unit/capabilities/google_maps/reviews/__init__.py b/surfsense_backend/tests/unit/capabilities/google_maps/reviews/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/google_maps/reviews/test_executor.py b/surfsense_backend/tests/unit/capabilities/google_maps/reviews/test_executor.py new file mode 100644 index 000000000..912f191df --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/google_maps/reviews/test_executor.py @@ -0,0 +1,87 @@ +"""``google_maps.reviews`` executor: verb input → actor input mapping → typed items. + +Boundary mocked: the proprietary scraper (injected fake). NOT mocked: the verb's +own payload→GoogleMapsReviewsInput mapping and the dict→ReviewItem wrapping. +""" + +from __future__ import annotations + +import pytest + +from app.capabilities.google_maps.reviews.executor import build_reviews_executor +from app.capabilities.google_maps.reviews.schemas import ReviewsInput, ReviewsOutput +from app.exceptions import ForbiddenError +from app.proprietary.platforms.google_maps import GoogleMapsReviewsInput +from app.proprietary.platforms.google_maps.scraper import SignInRequiredError + +pytestmark = pytest.mark.unit + + +class _FakeScraper: + def __init__(self, items: list[dict]): + self._items = items + self.calls: list[GoogleMapsReviewsInput] = [] + + async def __call__(self, actor_input: GoogleMapsReviewsInput) -> list[dict]: + self.calls.append(actor_input) + return self._items + + +async def test_maps_urls_to_start_urls_and_wraps_items(): + scraper = _FakeScraper([{"text": "Great place", "stars": 5.0}]) + execute = build_reviews_executor(scrape_fn=scraper) + + out = await execute(ReviewsInput(urls=["https://www.google.com/maps/place/x"])) + + assert isinstance(out, ReviewsOutput) + assert len(out.items) == 1 + assert out.items[0].text == "Great place" + assert out.items[0].stars == 5.0 + + (actor_input,) = scraper.calls + assert [u.url for u in actor_input.startUrls] == [ + "https://www.google.com/maps/place/x" + ] + + +async def test_forwards_place_ids_and_options(): + scraper = _FakeScraper([]) + execute = build_reviews_executor(scrape_fn=scraper) + + await execute( + ReviewsInput( + place_ids=["ChIJx"], + max_reviews=50, + sort_by="highestRanking", + language="fr", + start_date="2024-01-01", + ) + ) + + (actor_input,) = scraper.calls + assert actor_input.placeIds == ["ChIJx"] + assert actor_input.maxReviews == 50 + assert actor_input.reviewsSort == "highestRanking" + assert actor_input.language == "fr" + assert actor_input.reviewsStartDate == "2024-01-01" + + +async def test_sign_in_required_maps_to_forbidden_403(): + async def _raise(_actor_input): + raise SignInRequiredError("wall hit") + + execute = build_reviews_executor(scrape_fn=_raise) + + with pytest.raises(ForbiddenError) as exc_info: + await execute(ReviewsInput(place_ids=["ChIJx"])) + assert exc_info.value.status_code == 403 + + +async def test_other_faults_propagate_for_the_door_to_map(): + async def _boom(_actor_input): + raise RuntimeError("proxy exploded") + + execute = build_reviews_executor(scrape_fn=_boom) + + with pytest.raises(RuntimeError): + await execute(ReviewsInput(place_ids=["ChIJx"])) diff --git a/surfsense_backend/tests/unit/capabilities/google_maps/reviews/test_schemas.py b/surfsense_backend/tests/unit/capabilities/google_maps/reviews/test_schemas.py new file mode 100644 index 000000000..9381161d0 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/google_maps/reviews/test_schemas.py @@ -0,0 +1,35 @@ +"""``google_maps.reviews`` input guards: a source is required and the batch is bounded.""" + +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from app.capabilities.google_maps.reviews.schemas import ( + MAX_MAPS_REVIEW_SOURCES, + ReviewsInput, +) + +pytestmark = pytest.mark.unit + + +def test_rejects_input_with_no_source(): + with pytest.raises(ValidationError): + ReviewsInput() + + +def test_accepts_urls_or_place_ids(): + assert ReviewsInput(urls=["https://maps.google.com/x"]).place_ids == [] + assert ReviewsInput(place_ids=["ChIJx"]).urls == [] + + +def test_max_reviews_defaults_and_is_bounded(): + assert ReviewsInput(place_ids=["ChIJx"]).max_reviews == 20 + with pytest.raises(ValidationError): + ReviewsInput(place_ids=["ChIJx"], max_reviews=0) + + +def test_rejects_more_sources_than_the_cap(): + too_many = [f"ChIJ{i}" for i in range(MAX_MAPS_REVIEW_SOURCES + 1)] + with pytest.raises(ValidationError): + ReviewsInput(place_ids=too_many) diff --git a/surfsense_backend/tests/unit/capabilities/google_maps/scrape/__init__.py b/surfsense_backend/tests/unit/capabilities/google_maps/scrape/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/google_maps/scrape/test_executor.py b/surfsense_backend/tests/unit/capabilities/google_maps/scrape/test_executor.py new file mode 100644 index 000000000..aaa3af297 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/google_maps/scrape/test_executor.py @@ -0,0 +1,115 @@ +"""``google_maps.scrape`` executor: verb input → actor input mapping → typed items. + +Boundary mocked: the proprietary scraper (injected fake). NOT mocked: the verb's +own payload→GoogleMapsScrapeInput mapping and the dict→PlaceItem wrapping. +""" + +from __future__ import annotations + +import pytest + +from app.capabilities.google_maps.scrape.executor import build_scrape_executor +from app.capabilities.google_maps.scrape.schemas import ScrapeInput, ScrapeOutput +from app.exceptions import ForbiddenError +from app.proprietary.platforms.google_maps import GoogleMapsScrapeInput +from app.proprietary.platforms.google_maps.scraper import SignInRequiredError + +pytestmark = pytest.mark.unit + + +class _FakeScraper: + """Records the actor input it was called with and returns canned items.""" + + def __init__(self, items: list[dict]): + self._items = items + self.calls: list[GoogleMapsScrapeInput] = [] + + async def __call__(self, actor_input: GoogleMapsScrapeInput) -> list[dict]: + self.calls.append(actor_input) + return self._items + + +async def test_maps_queries_and_wraps_items(): + scraper = _FakeScraper([{"title": "Blue Bottle", "placeId": "abc"}]) + execute = build_scrape_executor(scrape_fn=scraper) + + out = await execute(ScrapeInput(search_queries=["coffee"], location="Austin")) + + assert isinstance(out, ScrapeOutput) + assert len(out.items) == 1 + assert out.items[0].title == "Blue Bottle" + assert out.items[0].placeId == "abc" + + (actor_input,) = scraper.calls + assert actor_input.searchStringsArray == ["coffee"] + assert actor_input.locationQuery == "Austin" + + +async def test_maps_urls_and_place_ids(): + scraper = _FakeScraper([]) + execute = build_scrape_executor(scrape_fn=scraper) + + await execute( + ScrapeInput( + urls=["https://www.google.com/maps/place/x"], + place_ids=["ChIJxxxx"], + ) + ) + + (actor_input,) = scraper.calls + assert [u.url for u in actor_input.startUrls] == [ + "https://www.google.com/maps/place/x" + ] + assert actor_input.placeIds == ["ChIJxxxx"] + + +async def test_max_places_maps_to_per_search_cap(): + scraper = _FakeScraper([]) + execute = build_scrape_executor(scrape_fn=scraper) + + await execute(ScrapeInput(search_queries=["x"], max_places=25)) + + (actor_input,) = scraper.calls + assert actor_input.maxCrawledPlacesPerSearch == 25 + + +async def test_forwards_detail_review_and_image_options(): + scraper = _FakeScraper([]) + execute = build_scrape_executor(scrape_fn=scraper) + + await execute( + ScrapeInput( + search_queries=["x"], + include_details=True, + max_reviews=5, + max_images=3, + language="fr", + ) + ) + + (actor_input,) = scraper.calls + assert actor_input.scrapePlaceDetailPage is True + assert actor_input.maxReviews == 5 + assert actor_input.maxImages == 3 + assert actor_input.language == "fr" + + +async def test_sign_in_required_maps_to_forbidden_403(): + async def _raise(_actor_input): + raise SignInRequiredError("wall hit") + + execute = build_scrape_executor(scrape_fn=_raise) + + with pytest.raises(ForbiddenError) as exc_info: + await execute(ScrapeInput(search_queries=["x"])) + assert exc_info.value.status_code == 403 + + +async def test_other_faults_propagate_for_the_door_to_map(): + async def _boom(_actor_input): + raise RuntimeError("proxy exploded") + + execute = build_scrape_executor(scrape_fn=_boom) + + with pytest.raises(RuntimeError): + await execute(ScrapeInput(search_queries=["x"])) diff --git a/surfsense_backend/tests/unit/capabilities/google_maps/scrape/test_schemas.py b/surfsense_backend/tests/unit/capabilities/google_maps/scrape/test_schemas.py new file mode 100644 index 000000000..fe164a98a --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/google_maps/scrape/test_schemas.py @@ -0,0 +1,36 @@ +"""``google_maps.scrape`` input guards: a source is required and the batch is bounded.""" + +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from app.capabilities.google_maps.scrape.schemas import ( + MAX_MAPS_SOURCES, + ScrapeInput, +) + +pytestmark = pytest.mark.unit + + +def test_rejects_input_with_no_source(): + with pytest.raises(ValidationError): + ScrapeInput() + + +def test_accepts_any_single_source(): + assert ScrapeInput(search_queries=["coffee"]).urls == [] + assert ScrapeInput(urls=["https://maps.google.com/x"]).place_ids == [] + assert ScrapeInput(place_ids=["ChIJx"]).search_queries == [] + + +def test_max_places_defaults_and_is_bounded(): + assert ScrapeInput(search_queries=["x"]).max_places == 10 + with pytest.raises(ValidationError): + ScrapeInput(search_queries=["x"], max_places=0) + + +def test_rejects_more_sources_than_the_cap(): + too_many = [f"q{i}" for i in range(MAX_MAPS_SOURCES + 1)] + with pytest.raises(ValidationError): + ScrapeInput(search_queries=too_many) diff --git a/surfsense_backend/tests/unit/capabilities/google_maps/test_registry.py b/surfsense_backend/tests/unit/capabilities/google_maps/test_registry.py new file mode 100644 index 000000000..c6a007645 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/google_maps/test_registry.py @@ -0,0 +1,32 @@ +"""The google_maps namespace registers each verb as one Capability the doors/agent read.""" + +from __future__ import annotations + +import pytest + +from app.capabilities import ( + google_maps, # noqa: F401 — importing the namespace registers its verbs +) +from app.capabilities.core.store import get_capability +from app.capabilities.google_maps.reviews.schemas import ReviewsInput, ReviewsOutput +from app.capabilities.google_maps.scrape.schemas import ScrapeInput, ScrapeOutput + +pytestmark = pytest.mark.unit + + +def test_google_maps_scrape_is_registered_and_free(): + cap = get_capability("google_maps.scrape") + + assert cap.name == "google_maps.scrape" + assert cap.input_schema is ScrapeInput + assert cap.output_schema is ScrapeOutput + assert cap.billing_unit is None + + +def test_google_maps_reviews_is_registered_and_free(): + cap = get_capability("google_maps.reviews") + + assert cap.name == "google_maps.reviews" + assert cap.input_schema is ReviewsInput + assert cap.output_schema is ReviewsOutput + assert cap.billing_unit is None diff --git a/surfsense_backend/tests/unit/capabilities/reddit/__init__.py b/surfsense_backend/tests/unit/capabilities/reddit/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/reddit/scrape/__init__.py b/surfsense_backend/tests/unit/capabilities/reddit/scrape/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/reddit/scrape/test_executor.py b/surfsense_backend/tests/unit/capabilities/reddit/scrape/test_executor.py new file mode 100644 index 000000000..257b974a0 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/reddit/scrape/test_executor.py @@ -0,0 +1,98 @@ +"""``reddit.scrape`` executor: verb input → actor input mapping → typed items. + +Boundary mocked: the proprietary scraper (injected fake). NOT mocked: the verb's +own payload→RedditScrapeInput mapping and the dict→RedditItem wrapping. +""" + +from __future__ import annotations + +import pytest + +from app.capabilities.reddit.scrape.executor import build_scrape_executor +from app.capabilities.reddit.scrape.schemas import ScrapeInput, ScrapeOutput +from app.exceptions import ForbiddenError +from app.proprietary.platforms.reddit import RedditAccessBlockedError, RedditScrapeInput + +pytestmark = pytest.mark.unit + + +class _FakeScraper: + """Records the actor input + limit it was called with; returns canned items.""" + + def __init__(self, items: list[dict]): + self._items = items + self.calls: list[tuple[RedditScrapeInput, int | None]] = [] + + async def __call__( + self, actor_input: RedditScrapeInput, *, limit: int | None = None + ) -> list[dict]: + self.calls.append((actor_input, limit)) + return self._items + + +async def test_maps_urls_to_start_urls_and_wraps_items(): + scraper = _FakeScraper([{"dataType": "post", "id": "abc", "title": "Hello"}]) + execute = build_scrape_executor(scrape_fn=scraper) + + out = await execute(ScrapeInput(urls=["https://www.reddit.com/r/python/"])) + + assert isinstance(out, ScrapeOutput) + assert len(out.items) == 1 + assert out.items[0].id == "abc" + assert out.items[0].title == "Hello" + assert out.items[0].dataType == "post" + + (actor_input, _limit) = scraper.calls[0] + assert [u.url for u in actor_input.startUrls] == [ + "https://www.reddit.com/r/python/" + ] + assert actor_input.searches == [] + + +async def test_forwards_search_queries_and_community(): + scraper = _FakeScraper([]) + execute = build_scrape_executor(scrape_fn=scraper) + + await execute(ScrapeInput(search_queries=["a", "b"], community="python")) + + (actor_input, _limit) = scraper.calls[0] + assert actor_input.searches == ["a", "b"] + assert actor_input.searchCommunityName == "python" + assert actor_input.startUrls == [] + + +async def test_maps_caps_and_passes_limit(): + scraper = _FakeScraper([]) + execute = build_scrape_executor(scrape_fn=scraper) + + await execute( + ScrapeInput( + search_queries=["x"], + max_items=25, + max_posts=7, + max_comments=3, + skip_comments=True, + sort="top", + time_filter="week", + ) + ) + + (actor_input, limit) = scraper.calls[0] + assert actor_input.maxItems == 25 + assert actor_input.maxPostCount == 7 + assert actor_input.maxComments == 3 + assert actor_input.skipComments is True + assert actor_input.sort == "top" + assert actor_input.time == "week" + # The outer collection limit is the caller's total-item cap. + assert limit == 25 + + +async def test_access_blocked_maps_to_forbidden(): + async def _blocked(actor_input: RedditScrapeInput, *, limit: int | None = None): + raise RedditAccessBlockedError("all IPs refused") + + execute = build_scrape_executor(scrape_fn=_blocked) + + with pytest.raises(ForbiddenError): + await execute(ScrapeInput(search_queries=["x"])) diff --git a/surfsense_backend/tests/unit/capabilities/reddit/scrape/test_schemas.py b/surfsense_backend/tests/unit/capabilities/reddit/scrape/test_schemas.py new file mode 100644 index 000000000..e4fb4a4a8 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/reddit/scrape/test_schemas.py @@ -0,0 +1,51 @@ +"""``reddit.scrape`` input guards: a source is required and the batch is bounded.""" + +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from app.capabilities.reddit.scrape.schemas import ( + MAX_REDDIT_ITEMS, + MAX_REDDIT_SOURCES, + ScrapeInput, +) + +pytestmark = pytest.mark.unit + + +def test_rejects_input_with_no_source(): + with pytest.raises(ValidationError): + ScrapeInput() + + +def test_accepts_urls_only(): + payload = ScrapeInput(urls=["https://www.reddit.com/r/python/"]) + assert payload.search_queries == [] + + +def test_accepts_search_queries_only(): + payload = ScrapeInput(search_queries=["notebooklm alternative"]) + assert payload.urls == [] + + +def test_accepts_community_only(): + payload = ScrapeInput(community="python") + assert payload.community == "python" + + +def test_defaults_and_bounds(): + payload = ScrapeInput(search_queries=["x"]) + assert payload.max_items == 10 + assert payload.sort == "new" + assert payload.include_nsfw is True + with pytest.raises(ValidationError): + ScrapeInput(search_queries=["x"], max_items=0) + with pytest.raises(ValidationError): + ScrapeInput(search_queries=["x"], max_items=MAX_REDDIT_ITEMS + 1) + + +def test_rejects_more_sources_than_the_cap(): + too_many = [f"https://redd.it/{i}" for i in range(MAX_REDDIT_SOURCES + 1)] + with pytest.raises(ValidationError): + ScrapeInput(urls=too_many) diff --git a/surfsense_backend/tests/unit/capabilities/reddit/test_registry.py b/surfsense_backend/tests/unit/capabilities/reddit/test_registry.py new file mode 100644 index 000000000..e0bca5f26 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/reddit/test_registry.py @@ -0,0 +1,22 @@ +"""The reddit namespace registers its verb as one Capability the doors/agent read.""" + +from __future__ import annotations + +import pytest + +from app.capabilities import ( + reddit, # noqa: F401 — importing the namespace registers its verbs +) +from app.capabilities.core.store import get_capability +from app.capabilities.reddit.scrape.schemas import ScrapeInput, ScrapeOutput + +pytestmark = pytest.mark.unit + + +def test_reddit_scrape_is_registered_and_free(): + cap = get_capability("reddit.scrape") + + assert cap.name == "reddit.scrape" + assert cap.input_schema is ScrapeInput + assert cap.output_schema is ScrapeOutput + assert cap.billing_unit is None diff --git a/surfsense_backend/tests/unit/capabilities/test_billing.py b/surfsense_backend/tests/unit/capabilities/test_billing.py new file mode 100644 index 000000000..36d9a2978 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/test_billing.py @@ -0,0 +1,429 @@ +"""Billing charges the workspace owner once per billable success at the executor (03c). + +Boundaries mocked: the DB session and the audit helper. NOT mocked: the real +WebCrawlCreditService debit math and the owner-billed decision. +""" + +from __future__ import annotations + +from unittest.mock import AsyncMock, MagicMock +from uuid import UUID + +import pytest + +import app.capabilities.core.billing as billing +from app.capabilities.core.billing import charge_capability, gate_capability +from app.capabilities.core.types import BillingUnit, CapabilityContext +from app.capabilities.web.crawl.schemas import CrawlInput, CrawlItem, CrawlOutput +from app.config import config +from app.services.web_crawl_credit_service import InsufficientCreditsError + +pytestmark = pytest.mark.unit + +_WORKSPACE_ID = 1 +_OWNER = UUID("00000000-0000-0000-0000-0000000000bb") + + +class _FakeUser: + def __init__(self, balance_micros: int, reserved_micros: int = 0): + self.credit_micros_balance = balance_micros + self.credit_micros_reserved = reserved_micros + + +def _make_session(owner_id, balance_micros): + """Mock session serving owner-resolution and the charge_credits debit.""" + fake_user = _FakeUser(balance_micros) + session = AsyncMock() + session.add = MagicMock() + + def _make_result(*_args, **_kwargs): + result = MagicMock() + result.scalar_one_or_none.return_value = owner_id # owner resolution + result.unique.return_value.scalar_one_or_none.return_value = fake_user # debit + return result + + session.execute = AsyncMock(side_effect=_make_result) + return session, fake_user + + +def _output(*statuses: str) -> CrawlOutput: + return CrawlOutput( + items=[ + CrawlItem(url=f"https://{i}.com", status=status) + for i, status in enumerate(statuses) + ] + ) + + +def _ctx(session) -> CapabilityContext: + return CapabilityContext(session=session, workspace_id=_WORKSPACE_ID) + + +@pytest.fixture(autouse=True) +def _stub_auto_reload(monkeypatch): + import app.services.auto_reload_service as ar + + monkeypatch.setattr(ar, "maybe_trigger_auto_reload", AsyncMock()) + + +@pytest.fixture +def record_usage(monkeypatch): + rec = AsyncMock(return_value=MagicMock()) + monkeypatch.setattr(billing, "record_token_usage", rec) + return rec + + +async def test_charges_workspace_owner_per_successful_crawl(monkeypatch, record_usage): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_MICROS_PER_SUCCESS", 1000) + session, user = _make_session(_OWNER, balance_micros=100_000) + + await charge_capability( + _output("success", "empty", "success"), BillingUnit.WEB_CRAWL, _ctx(session) + ) + + # Owner debited 2 * 1000; one web_crawl audit row billed to the OWNER. + assert user.credit_micros_balance == 100_000 - 2000 + record_usage.assert_awaited_once() + kwargs = record_usage.await_args.kwargs + assert kwargs["usage_type"] == "web_crawl" + assert kwargs["user_id"] == _OWNER + assert kwargs["workspace_id"] == _WORKSPACE_ID + assert kwargs["cost_micros"] == 2000 + + +def _output_with_captcha(*statuses: str, attempts: int, solved: int) -> CrawlOutput: + out = _output(*statuses) + out.captcha_attempts = attempts + out.captcha_solved = solved + return out + + +async def test_charges_workspace_owner_per_captcha_attempt_even_when_crawl_failed( + monkeypatch, record_usage +): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE", 3000) + session, user = _make_session(_OWNER, balance_micros=100_000) + + # Crawl failed (no billable success) but the solver ran twice — attempts bill. + await charge_capability( + _output_with_captcha("failed", attempts=2, solved=1), + BillingUnit.WEB_CRAWL, + _ctx(session), + ) + + assert user.credit_micros_balance == 100_000 - 2 * 3000 + record_usage.assert_awaited_once() + kwargs = record_usage.await_args.kwargs + assert kwargs["usage_type"] == "web_crawl_captcha" + assert kwargs["user_id"] == _OWNER + assert kwargs["cost_micros"] == 6000 + + +async def test_captcha_billing_disabled_does_not_charge_attempts( + monkeypatch, record_usage +): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_BILLING_ENABLED", False) + session, user = _make_session(_OWNER, balance_micros=100_000) + + await charge_capability( + _output_with_captcha("failed", attempts=2, solved=1), + BillingUnit.WEB_CRAWL, + _ctx(session), + ) + + record_usage.assert_not_awaited() + assert user.credit_micros_balance == 100_000 + + +async def test_no_successful_rows_is_free(monkeypatch, record_usage): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + session, user = _make_session(_OWNER, balance_micros=100_000) + + await charge_capability( + _output("empty", "failed"), BillingUnit.WEB_CRAWL, _ctx(session) + ) + + record_usage.assert_not_awaited() + assert user.credit_micros_balance == 100_000 + + +async def test_disabled_is_noop(monkeypatch, record_usage): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", False) + session, user = _make_session(_OWNER, balance_micros=100_000) + + await charge_capability( + _output("success", "success"), BillingUnit.WEB_CRAWL, _ctx(session) + ) + + record_usage.assert_not_awaited() + session.execute.assert_not_called() + assert user.credit_micros_balance == 100_000 + + +async def test_free_verb_without_a_unit_is_noop(monkeypatch, record_usage): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + session, user = _make_session(_OWNER, balance_micros=100_000) + + await charge_capability(_output("success", "success"), None, _ctx(session)) + + record_usage.assert_not_awaited() + session.execute.assert_not_called() + assert user.credit_micros_balance == 100_000 + + +def _gate_session(owner_id, balance_micros): + """Mock session serving owner-resolution and the spendable-balance read.""" + session = AsyncMock() + + def _make_result(*_args, **_kwargs): + result = MagicMock() + result.scalar_one_or_none.return_value = owner_id # owner resolution + result.first.return_value = (balance_micros, 0) # balance, reserved + return result + + session.execute = AsyncMock(side_effect=_make_result) + return session + + +async def test_gate_blocks_when_worst_case_exceeds_balance(monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_MICROS_PER_SUCCESS", 1000) + session = _gate_session(_OWNER, balance_micros=1500) # affords 1 crawl, not 2 + + with pytest.raises(InsufficientCreditsError): + await gate_capability( + CrawlInput(startUrls=["https://a.com", "https://b.com"]), + BillingUnit.WEB_CRAWL, + _ctx(session), + ) + + +async def test_gate_passes_when_balance_covers_worst_case(monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_MICROS_PER_SUCCESS", 1000) + session = _gate_session(_OWNER, balance_micros=100_000) + + await gate_capability( + CrawlInput(startUrls=["https://a.com", "https://b.com"]), + BillingUnit.WEB_CRAWL, + _ctx(session), + ) + + +async def test_gate_is_noop_when_disabled(monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", False) + session = _gate_session(_OWNER, balance_micros=0) + + await gate_capability( + CrawlInput(startUrls=["https://a.com"]), BillingUnit.WEB_CRAWL, _ctx(session) + ) + + +async def test_gate_reserves_worst_case_captcha_when_solving_enabled(monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", False) + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE", 3000) + monkeypatch.setattr(config, "CAPTCHA_MAX_ATTEMPTS_PER_URL", 3) + monkeypatch.setattr(billing, "captcha_enabled", lambda: True) + session = _gate_session(_OWNER, balance_micros=5000) # < 1 url * 3 * 3000 + + with pytest.raises(InsufficientCreditsError): + await gate_capability( + CrawlInput(startUrls=["https://a.com"]), + BillingUnit.WEB_CRAWL, + _ctx(session), + ) + + +async def test_gate_does_not_reserve_captcha_when_solving_disabled(monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", False) + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_BILLING_ENABLED", True) + monkeypatch.setattr(billing, "captcha_enabled", lambda: False) + session = _gate_session(_OWNER, balance_micros=0) + + # Solving off → attempts can never happen → nothing to reserve → passes. + await gate_capability( + CrawlInput(startUrls=["https://a.com"]), BillingUnit.WEB_CRAWL, _ctx(session) + ) + + +async def test_gate_is_noop_for_free_verb(monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + session = _gate_session(_OWNER, balance_micros=0) + + await gate_capability(CrawlInput(startUrls=["https://a.com"]), None, _ctx(session)) + + session.execute.assert_not_called() + + +# =================================================================== +# Platform scraper per-item billing (Reddit / Search / Maps / YouTube) +# =================================================================== + + +class _FakePlatformOutput: + """Stand-in for a verb output: only the billing-read properties matter.""" + + def __init__(self, items: int, attached_review_count: int = 0): + self._items = items + self._reviews = attached_review_count + + @property + def billable_units(self) -> int: + return self._items + + @property + def attached_review_count(self) -> int: + return self._reviews + + +class _FakePlatformInput: + """Stand-in for a verb input reporting its worst-case unit counts.""" + + def __init__(self, estimated_units: int, estimated_review_units: int = 0): + self._units = estimated_units + self._review_units = estimated_review_units + + @property + def estimated_units(self) -> int: + return self._units + + @property + def estimated_review_units(self) -> int: + return self._review_units + + +@pytest.fixture +def _enable_platform_billing(monkeypatch): + monkeypatch.setattr(config, "PLATFORM_SCRAPE_BILLING_ENABLED", True) + + +async def test_platform_charges_owner_per_item( + monkeypatch, record_usage, _enable_platform_billing +): + monkeypatch.setattr(config, "REDDIT_SCRAPE_MICROS_PER_ITEM", 3500) + session, user = _make_session(_OWNER, balance_micros=1_000_000) + + charged = await charge_capability( + _FakePlatformOutput(3), BillingUnit.REDDIT_ITEM, _ctx(session) + ) + + assert charged == 3 * 3500 + assert user.credit_micros_balance == 1_000_000 - 3 * 3500 + record_usage.assert_awaited_once() + kwargs = record_usage.await_args.kwargs + assert kwargs["usage_type"] == "reddit_item" + assert kwargs["user_id"] == _OWNER + assert kwargs["workspace_id"] == _WORKSPACE_ID + assert kwargs["cost_micros"] == 3 * 3500 + + +async def test_platform_maps_scrape_dual_meters_places_and_reviews( + monkeypatch, record_usage, _enable_platform_billing +): + monkeypatch.setattr(config, "GOOGLE_MAPS_MICROS_PER_PLACE", 5000) + monkeypatch.setattr(config, "GOOGLE_MAPS_MICROS_PER_REVIEW", 2000) + session, user = _make_session(_OWNER, balance_micros=1_000_000) + + # 2 places + 10 attached reviews -> 2*5000 + 10*2000 = 30000. + charged = await charge_capability( + _FakePlatformOutput(2, attached_review_count=10), + BillingUnit.GOOGLE_MAPS_PLACE, + _ctx(session), + ) + + assert charged == 2 * 5000 + 10 * 2000 + assert user.credit_micros_balance == 1_000_000 - 30_000 + assert record_usage.await_count == 2 + usage_types = {c.kwargs["usage_type"] for c in record_usage.await_args_list} + assert usage_types == {"google_maps_place", "google_maps_review"} + + +async def test_platform_charge_disabled_is_noop(monkeypatch, record_usage): + monkeypatch.setattr(config, "PLATFORM_SCRAPE_BILLING_ENABLED", False) + monkeypatch.setattr(config, "REDDIT_SCRAPE_MICROS_PER_ITEM", 3500) + session, user = _make_session(_OWNER, balance_micros=1_000_000) + + charged = await charge_capability( + _FakePlatformOutput(3), BillingUnit.REDDIT_ITEM, _ctx(session) + ) + + assert charged == 0 + record_usage.assert_not_awaited() + session.execute.assert_not_called() + assert user.credit_micros_balance == 1_000_000 + + +async def test_platform_no_items_is_free( + monkeypatch, record_usage, _enable_platform_billing +): + monkeypatch.setattr(config, "YOUTUBE_MICROS_PER_COMMENT", 3500) + session, user = _make_session(_OWNER, balance_micros=1_000_000) + + charged = await charge_capability( + _FakePlatformOutput(0), BillingUnit.YOUTUBE_COMMENT, _ctx(session) + ) + + assert charged == 0 + record_usage.assert_not_awaited() + assert user.credit_micros_balance == 1_000_000 + + +async def test_platform_gate_blocks_when_worst_case_exceeds_balance( + monkeypatch, _enable_platform_billing +): + monkeypatch.setattr(config, "GOOGLE_SEARCH_MICROS_PER_SERP", 5500) + session = _gate_session(_OWNER, balance_micros=6000) # affords 1 SERP, not 2 + + with pytest.raises(InsufficientCreditsError): + await gate_capability( + _FakePlatformInput(estimated_units=2), + BillingUnit.GOOGLE_SEARCH_SERP, + _ctx(session), + ) + + +async def test_platform_gate_maps_reserves_places_plus_reviews( + monkeypatch, _enable_platform_billing +): + monkeypatch.setattr(config, "GOOGLE_MAPS_MICROS_PER_PLACE", 5000) + monkeypatch.setattr(config, "GOOGLE_MAPS_MICROS_PER_REVIEW", 2000) + # 1 place (5000) + 10 worst-case reviews (20000) = 25000 required. + session = _gate_session(_OWNER, balance_micros=20_000) + + with pytest.raises(InsufficientCreditsError): + await gate_capability( + _FakePlatformInput(estimated_units=1, estimated_review_units=10), + BillingUnit.GOOGLE_MAPS_PLACE, + _ctx(session), + ) + + +async def test_platform_gate_passes_when_affordable( + monkeypatch, _enable_platform_billing +): + monkeypatch.setattr(config, "GOOGLE_SEARCH_MICROS_PER_SERP", 5500) + session = _gate_session(_OWNER, balance_micros=1_000_000) + + await gate_capability( + _FakePlatformInput(estimated_units=2), + BillingUnit.GOOGLE_SEARCH_SERP, + _ctx(session), + ) + + +async def test_platform_gate_disabled_is_noop(monkeypatch): + monkeypatch.setattr(config, "PLATFORM_SCRAPE_BILLING_ENABLED", False) + session = _gate_session(_OWNER, balance_micros=0) + + await gate_capability( + _FakePlatformInput(estimated_units=1000), + BillingUnit.REDDIT_ITEM, + _ctx(session), + ) + + session.execute.assert_not_called() diff --git a/surfsense_backend/tests/unit/capabilities/test_registry.py b/surfsense_backend/tests/unit/capabilities/test_registry.py new file mode 100644 index 000000000..ff8f6d931 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/test_registry.py @@ -0,0 +1,23 @@ +"""The registry exposes each verb as one Capability entry the doors/agent read from.""" + +from __future__ import annotations + +import pytest + +from app.capabilities import ( + web, # noqa: F401 — importing the namespace registers its verbs +) +from app.capabilities.core.store import get_capability +from app.capabilities.core.types import BillingUnit +from app.capabilities.web.crawl.schemas import CrawlInput, CrawlOutput + +pytestmark = pytest.mark.unit + + +def test_web_crawl_is_registered_with_its_schemas_and_billing_unit(): + cap = get_capability("web.crawl") + + assert cap.name == "web.crawl" + assert cap.input_schema is CrawlInput + assert cap.output_schema is CrawlOutput + assert cap.billing_unit is BillingUnit.WEB_CRAWL diff --git a/surfsense_backend/tests/unit/capabilities/test_run_truncation.py b/surfsense_backend/tests/unit/capabilities/test_run_truncation.py new file mode 100644 index 000000000..5723c2ff2 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/test_run_truncation.py @@ -0,0 +1,346 @@ +"""Tool-boundary truncation + run read-tool behavior (no DB). + +Covers the pure pieces of the DB-backed run log: JSONL serialization, the +char-budgeted preview (including the single-oversized-item case and the +storage-failure degrade), and the ``read_run``/``search_run`` tools' paging, +search, ReDoS fallback, and workspace scoping — all with a fake session so the +unit suite never touches a database. +""" + +from __future__ import annotations + +import contextlib +import json + +import pytest +from pydantic import BaseModel + +from app.agents.chat.multi_agent_chat.subagents.shared import run_reader +from app.capabilities.core.access.agent import _build_preview +from app.capabilities.core.runs import ( + RUN_OUTPUT_CHAR_CAP, + SerializedOutput, + serialize_output, +) + +pytestmark = pytest.mark.unit + + +class _Item(BaseModel): + id: int + name: str + note: str | None = None + + +class _Output(BaseModel): + items: list[_Item] + + +class _Scalar(BaseModel): + value: str + + +def test_serialize_output_is_jsonl_and_excludes_none(): + out = _Output(items=[_Item(id=1, name="a"), _Item(id=2, name="b", note="x")]) + result = serialize_output(out) + + lines = result.text.split("\n") + assert result.item_count == 2 + assert len(lines) == 2 + # exclude_none: the first item has no "note" key + assert "note" not in json.loads(lines[0]) + assert json.loads(lines[1])["note"] == "x" + assert result.char_count == len(result.text) + + +def test_serialize_output_without_items_is_single_line(): + result = serialize_output(_Scalar(value="hi")) + assert result.item_count == 1 + assert json.loads(result.text) == {"value": "hi"} + + +def test_preview_is_char_budgeted_and_references_run(): + # Many small items whose total blows the cap. + per_item = "y" * 500 + items = [f'{{"i": {i}, "v": "{per_item}"}}' for i in range(500)] + body = "\n".join(items) + serialized = SerializedOutput( + text=body, item_count=len(items), char_count=len(body) + ) + + preview = _build_preview(serialized, run_id="abc") + + assert len(preview) < serialized.char_count + assert "run_abc" in preview + assert "read_run" in preview + # Only a prefix of items is shown. + assert preview.count('"i":') < len(items) + + +def test_preview_handles_single_oversized_item(): + huge = "z" * (RUN_OUTPUT_CHAR_CAP * 2) + serialized = SerializedOutput(text=huge, item_count=1, char_count=len(huge)) + + preview = _build_preview(serialized, run_id="big") + + # Still returns a clipped head rather than nothing. + assert "z" in preview + assert "run_big" in preview + assert len(preview) < serialized.char_count + + +def test_preview_degrades_when_storage_failed(): + body = "\n".join(f'{{"i": {i}}}' for i in range(200)) + serialized = SerializedOutput(text=body, item_count=200, char_count=len(body)) + + preview = _build_preview(serialized, run_id=None) + + assert "storage error" in preview + assert "run_" not in preview + + +# --- read tools ----------------------------------------------------------- + + +class _FakeResult: + def __init__(self, value): + self._value = value + + def scalar_one_or_none(self): + return self._value + + +class _FakeSession: + def __init__(self, value, calls): + self._value = value + self._calls = calls + + async def execute(self, stmt): + self._calls.append(str(stmt)) + return _FakeResult(self._value) + + +def _patch_session(monkeypatch, value, calls): + @contextlib.asynccontextmanager + async def _maker(): + yield _FakeSession(value, calls) + + monkeypatch.setattr(run_reader, "shielded_async_session", _maker) + + +def _tools(): + read_run, search_run, _export_run = run_reader.build_run_reader_tools( + workspace_id=7 + ) + return read_run, search_run + + +_BODY = "\n".join(f'{{"i": {i}, "name": "item_{i}"}}' for i in range(10)) + + +@pytest.mark.asyncio +async def test_read_run_paginates(monkeypatch): + calls: list[str] = [] + _patch_session(monkeypatch, _BODY, calls) + read_run, _ = _tools() + + out = await read_run.ainvoke( + { + "ref": "run_" + "0" * 8 + "-0000-0000-0000-000000000000", + "offset": 2, + "limit": 3, + } + ) + assert "item_2" in out and "item_3" in out and "item_4" in out + assert "item_0" not in out and "item_5" not in out + # Scoped by workspace_id in the query. + assert "workspace_id" in calls[0] + + +@pytest.mark.asyncio +async def test_read_run_char_offset_pages_inside_one_huge_item(monkeypatch): + """A single item bigger than the cap is fully reachable via char_offset.""" + huge_line = "A" * RUN_OUTPUT_CHAR_CAP + "MARKER" + "B" * 1000 + _patch_session(monkeypatch, huge_line, []) + read_run, _ = _tools() + ref = "run_" + "0" * 8 + "-0000-0000-0000-000000000000" + + first = await read_run.ainvoke({"ref": ref, "offset": 0, "limit": 1}) + assert "MARKER" not in first # clipped at the cap + assert f"char_offset={RUN_OUTPUT_CHAR_CAP}" in first # continuation hint + + second = await read_run.ainvoke( + {"ref": ref, "offset": 0, "limit": 1, "char_offset": RUN_OUTPUT_CHAR_CAP} + ) + assert "MARKER" in second + assert "truncated" not in second # remainder fits + + past_end = await read_run.ainvoke( + {"ref": ref, "offset": 0, "limit": 1, "char_offset": len(huge_line) + 5} + ) + assert "No content at char_offset" in past_end + + +@pytest.mark.asyncio +async def test_search_run_excerpts_huge_matched_line(monkeypatch): + """A match inside a huge line returns a window around it, not the whole line.""" + huge_line = "x" * 100_000 + "NEEDLE" + "y" * 100_000 + _patch_session(monkeypatch, huge_line, []) + _, search_run = _tools() + + out = await search_run.ainvoke( + {"ref": "run_" + "0" * 8 + "-0000-0000-0000-000000000000", "pattern": "NEEDLE"} + ) + assert "NEEDLE" in out + assert "match at char 100000" in out + assert len(out) < 2000 # excerpt, not the 200k line + + +@pytest.mark.asyncio +async def test_read_run_rejects_bad_ref(monkeypatch): + _patch_session(monkeypatch, _BODY, []) + read_run, _ = _tools() + out = await read_run.ainvoke({"ref": "not-a-ref"}) + assert "not a valid run reference" in out + + +@pytest.mark.asyncio +async def test_read_run_not_found(monkeypatch): + _patch_session(monkeypatch, None, []) + read_run, _ = _tools() + out = await read_run.ainvoke( + {"ref": "run_" + "0" * 8 + "-0000-0000-0000-000000000000"} + ) + assert "not found" in out + + +@pytest.mark.asyncio +async def test_search_run_matches(monkeypatch): + _patch_session(monkeypatch, _BODY, []) + _, search_run = _tools() + out = await search_run.ainvoke( + { + "ref": "spill_" + "0" * 8 + "-0000-0000-0000-000000000000", + "pattern": "item_7", + } + ) + assert "item_7" in out + assert "item_1" not in out.split("item_7")[0] + + +# --- export_run ------------------------------------------------------------ + + +_CRAWL_BODY = "\n".join( + [ + json.dumps( + { + "url": "https://x.com/team/", + "status": "success", + "links": [ + { + "url": "https://x.com/author/jane/", + "text": "Jane Doe", + "context": "Jane Doe General Partner", + "kind": "internal", + }, + { + "url": "https://x.com/author/bob/", + "text": "Bob Roe", + "context": "Bob Roe Operations", + "kind": "internal", + }, + # Duplicate of Jane (nav + card) — must dedupe. + { + "url": "https://x.com/author/jane/", + "text": "Jane Doe", + "context": "Jane Doe General Partner", + "kind": "internal", + }, + { + "url": "https://x.com/about/", + "text": "About", + "kind": "internal", + }, + ], + } + ), + json.dumps({"url": "https://x.com/jobs/", "status": "failed", "links": []}), + "not json — skipped", + ] +) + + +def test_rows_from_body_links_explode_and_items(): + links = run_reader._rows_from_body(_CRAWL_BODY, "links") + assert len(links) == 4 + assert links[0]["page"] == "https://x.com/team/" + assert links[0]["text"] == "Jane Doe" + + items = run_reader._rows_from_body(_CRAWL_BODY, "items") + assert [i["url"] for i in items] == ["https://x.com/team/", "https://x.com/jobs/"] + + +def test_rows_to_csv_dedupes_and_orders_columns(): + records = run_reader._rows_from_body(_CRAWL_BODY, "links") + csv_text, count = run_reader._rows_to_csv(records, ["page", "url", "text"]) + lines = csv_text.strip().split("\n") + assert lines[0] == "page,url,text" + assert count == 3 # 4 records - 1 duplicate + assert len(lines) == 4 # header + 3 rows + assert "Jane Doe" in lines[1] + + +@pytest.mark.asyncio +async def test_export_run_filters_and_saves(monkeypatch): + _patch_session(monkeypatch, _CRAWL_BODY, []) + saved: dict = {} + + async def _fake_save(*, virtual_path, content, workspace_id): + saved["path"] = virtual_path + saved["content"] = content + saved["workspace_id"] = workspace_id + return 42, "/documents/exports/team.csv" + + monkeypatch.setattr(run_reader, "_save_export_document", _fake_save) + _, _, export_run = run_reader.build_run_reader_tools(workspace_id=7) + + out = await export_run.ainvoke( + { + "ref": "run_" + "0" * 8 + "-0000-0000-0000-000000000000", + "path": "exports/team.csv", + "rows": "links", + "include_pattern": "/author/", + } + ) + assert "Exported 2 rows" in out # Jane + Bob; About filtered; dupe deduped + assert "/documents/exports/team.csv" in out + assert "document id 42" in out + assert saved["workspace_id"] == 7 + assert "About" not in saved["content"] + assert "Bob Roe" in saved["content"] + + +@pytest.mark.asyncio +async def test_export_run_empty_filter_is_error(monkeypatch): + _patch_session(monkeypatch, _CRAWL_BODY, []) + _, _, export_run = run_reader.build_run_reader_tools(workspace_id=7) + out = await export_run.ainvoke( + { + "ref": "run_" + "0" * 8 + "-0000-0000-0000-000000000000", + "path": "exports/none.csv", + "include_pattern": "no-such-thing-anywhere", + } + ) + assert out.startswith("Error: no rows to export") + + +@pytest.mark.asyncio +async def test_search_run_falls_back_on_bad_regex(monkeypatch): + _patch_session(monkeypatch, _BODY, []) + _, search_run = _tools() + # "(" is an invalid regex -> substring fallback, must not raise. + out = await search_run.ainvoke( + {"ref": "run_" + "0" * 8 + "-0000-0000-0000-000000000000", "pattern": "("} + ) + assert "matched" in out or "No lines" in out diff --git a/surfsense_backend/tests/unit/capabilities/web/__init__.py b/surfsense_backend/tests/unit/capabilities/web/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/web/crawl/__init__.py b/surfsense_backend/tests/unit/capabilities/web/crawl/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/web/crawl/test_executor.py b/surfsense_backend/tests/unit/capabilities/web/crawl/test_executor.py new file mode 100644 index 000000000..6294cf4f1 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/web/crawl/test_executor.py @@ -0,0 +1,166 @@ +"""``web.crawl`` executor behavior: CrawlPage list → typed CrawlOutput items. + +Boundary mocked: the crawler engine (fake ``crawl_url`` + link graph). NOT +mocked: the executor's page→item mapping, truncation, and captcha rollup. +""" + +from __future__ import annotations + +import pytest + +from app.capabilities.web.crawl.executor import build_crawl_executor +from app.capabilities.web.crawl.schemas import CrawlInput, CrawlOutput +from app.proprietary.web_crawler import CrawlOutcome, CrawlOutcomeStatus + +pytestmark = pytest.mark.unit + +_SUCCESS = CrawlOutcomeStatus.SUCCESS + + +class _FakeEngine: + def __init__(self, graph: dict[str, tuple[CrawlOutcomeStatus, list[str]]]): + self._graph = graph + self.calls: list[str] = [] + + async def crawl_url(self, url: str) -> CrawlOutcome: + self.calls.append(url) + status, links = self._graph[url] + if status is _SUCCESS: + return CrawlOutcome( + status=_SUCCESS, + result={ + "content": f"C:{url}", + "metadata": {"title": url}, + "links": links, + }, + ) + return CrawlOutcome(status=status, error="boom") + + +async def test_single_url_depth_zero_returns_one_item() -> None: + engine = _FakeEngine({"https://e.com/": (_SUCCESS, ["https://e.com/a"])}) + execute = build_crawl_executor(engine=engine) + + out = await execute(CrawlInput(startUrls=["https://e.com/"])) + + assert isinstance(out, CrawlOutput) + assert len(out.items) == 1 + item = out.items[0] + assert item.url == "https://e.com/" + assert item.status == "success" + assert item.markdown == "C:https://e.com/" + assert item.metadata == {"title": "https://e.com/"} + assert item.crawl is not None + assert item.crawl.depth == 0 + assert item.crawl.referrerUrl is None + + +async def test_spider_collects_multiple_pages_with_provenance() -> None: + engine = _FakeEngine( + { + "https://e.com/": (_SUCCESS, ["https://e.com/a"]), + "https://e.com/a": (_SUCCESS, []), + } + ) + execute = build_crawl_executor(engine=engine) + + out = await execute( + CrawlInput(startUrls=["https://e.com/"], maxCrawlDepth=1, maxCrawlPages=10) + ) + + by_url = {item.url: item for item in out.items} + assert set(by_url) == {"https://e.com/", "https://e.com/a"} + assert by_url["https://e.com/a"].crawl.referrerUrl == "https://e.com/" + + +async def test_content_is_truncated_to_max_length() -> None: + engine = _FakeEngine({"https://e.com/": (_SUCCESS, [])}) + execute = build_crawl_executor(engine=engine) + + out = await execute(CrawlInput(startUrls=["https://e.com/"], maxLength=3)) + + assert out.items[0].markdown == "C:h" + + +async def test_failed_page_has_no_markdown_but_keeps_error() -> None: + engine = _FakeEngine({"https://e.com/": (CrawlOutcomeStatus.FAILED, [])}) + execute = build_crawl_executor(engine=engine) + + out = await execute(CrawlInput(startUrls=["https://e.com/"])) + + item = out.items[0] + assert item.status == "failed" + assert item.markdown is None + assert item.error == "boom" + + +async def test_aggregated_contacts_carry_provenance_and_site_wide_flag() -> None: + footer = "https://linkedin.com/company/e" + person = "https://linkedin.com/in/jane" + + class _ContactsEngine: + async def crawl_url(self, url: str) -> CrawlOutcome: + socials = [footer] + ([person] if url.endswith("/about") else []) + links = ( + ["https://e.com/about", "https://e.com/blog"] + if url == "https://e.com/" + else [] + ) + return CrawlOutcome( + status=_SUCCESS, + result={ + "content": "ok", + "metadata": {}, + "links": links, + "contacts": {"emails": [], "phones": [], "socials": socials}, + }, + ) + + execute = build_crawl_executor(engine=_ContactsEngine()) + out = await execute( + CrawlInput(startUrls=["https://e.com/"], maxCrawlDepth=1, maxCrawlPages=10) + ) + + by_value = {ref.value: ref for ref in out.contacts.socials} + assert by_value[footer].siteWide # on all 3 pages -> boilerplate + assert by_value[footer].pageCount == 3 + assert not by_value[person].siteWide # only on /about -> page-local entity + assert by_value[person].pages == ["https://e.com/about"] + + +async def test_single_page_crawl_marks_contacts_site_wide() -> None: + class _OnePageEngine: + async def crawl_url(self, url: str) -> CrawlOutcome: + return CrawlOutcome( + status=_SUCCESS, + result={ + "content": "ok", + "metadata": {}, + "links": [], + "contacts": {"emails": ["a@e.com"], "phones": [], "socials": []}, + }, + ) + + execute = build_crawl_executor(engine=_OnePageEngine()) + out = await execute(CrawlInput(startUrls=["https://e.com/"])) + + assert out.contacts.emails[0].siteWide # one page: no signal to split on + + +async def test_captcha_telemetry_is_rolled_up_for_billing() -> None: + class _CaptchaEngine: + async def crawl_url(self, url: str) -> CrawlOutcome: + return CrawlOutcome( + status=_SUCCESS, + result={"content": "ok", "metadata": {}, "links": []}, + captcha_attempts=2, + captcha_solved=True, + ) + + execute = build_crawl_executor(engine=_CaptchaEngine()) + + out = await execute(CrawlInput(startUrls=["https://e.com/"])) + + assert out.captcha_attempts == 2 + assert out.captcha_solved == 1 + assert out.billable_units == 1 diff --git a/surfsense_backend/tests/unit/capabilities/web/crawl/test_schemas.py b/surfsense_backend/tests/unit/capabilities/web/crawl/test_schemas.py new file mode 100644 index 000000000..f7b9a2b39 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/web/crawl/test_schemas.py @@ -0,0 +1,69 @@ +"""``web.crawl`` I/O contract: camelCase surface, bounds, and billing counters.""" + +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from app.capabilities.web.crawl.schemas import ( + CrawlInput, + CrawlItem, + CrawlMeta, + CrawlOutput, +) + +pytestmark = pytest.mark.unit + + +def test_requires_at_least_one_start_url() -> None: + with pytest.raises(ValidationError): + CrawlInput(startUrls=[]) + + +def test_camelcase_fields_and_defaults() -> None: + model = CrawlInput(startUrls=["https://e.com"]) + assert model.startUrls == ["https://e.com"] + assert model.maxCrawlDepth == 0 + assert model.maxCrawlPages == 10 + assert model.maxLength == 50_000 + + +def test_depth_and_page_bounds_are_enforced() -> None: + with pytest.raises(ValidationError): + CrawlInput(startUrls=["https://e.com"], maxCrawlDepth=-1) + with pytest.raises(ValidationError): + CrawlInput(startUrls=["https://e.com"], maxCrawlDepth=99) + with pytest.raises(ValidationError): + CrawlInput(startUrls=["https://e.com"], maxCrawlPages=0) + + +def test_estimated_units_for_single_url_is_seed_count() -> None: + model = CrawlInput(startUrls=["https://a.com", "https://b.com"], maxCrawlDepth=0) + assert model.estimated_units == 2 + + +def test_estimated_units_for_spider_is_max_pages() -> None: + model = CrawlInput(startUrls=["https://a.com"], maxCrawlDepth=2, maxCrawlPages=25) + assert model.estimated_units == 25 + + +def test_billable_units_counts_only_successes() -> None: + out = CrawlOutput( + items=[ + CrawlItem( + url="a", status="success", crawl=CrawlMeta(loadedUrl="a", depth=0) + ), + CrawlItem(url="b", status="empty", crawl=CrawlMeta(loadedUrl="b", depth=1)), + CrawlItem( + url="c", status="failed", crawl=CrawlMeta(loadedUrl="c", depth=1) + ), + ] + ) + assert out.billable_units == 1 + + +def test_captcha_counters_are_excluded_from_the_wire_shape() -> None: + out = CrawlOutput(items=[], captcha_attempts=3, captcha_solved=1) + dumped = out.model_dump() + assert "captcha_attempts" not in dumped + assert "captcha_solved" not in dumped diff --git a/surfsense_backend/tests/unit/capabilities/youtube/__init__.py b/surfsense_backend/tests/unit/capabilities/youtube/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/youtube/comments/__init__.py b/surfsense_backend/tests/unit/capabilities/youtube/comments/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/youtube/comments/test_executor.py b/surfsense_backend/tests/unit/capabilities/youtube/comments/test_executor.py new file mode 100644 index 000000000..fd153fed5 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/youtube/comments/test_executor.py @@ -0,0 +1,55 @@ +"""``youtube.comments`` executor: verb input → actor input mapping → typed items.""" + +from __future__ import annotations + +import pytest + +from app.capabilities.youtube.comments.executor import build_comments_executor +from app.capabilities.youtube.comments.schemas import CommentsInput, CommentsOutput +from app.proprietary.platforms.youtube import YouTubeCommentsInput + +pytestmark = pytest.mark.unit + + +class _FakeScraper: + def __init__(self, items: list[dict]): + self._items = items + self.calls: list[YouTubeCommentsInput] = [] + + async def __call__(self, actor_input: YouTubeCommentsInput) -> list[dict]: + self.calls.append(actor_input) + return self._items + + +async def test_maps_urls_and_wraps_comment_items(): + scraper = _FakeScraper([{"cid": "c1", "comment": "nice", "author": "@a"}]) + execute = build_comments_executor(scrape_fn=scraper) + + out = await execute(CommentsInput(urls=["https://www.youtube.com/watch?v=abc"])) + + assert isinstance(out, CommentsOutput) + assert len(out.items) == 1 + assert out.items[0].cid == "c1" + assert out.items[0].comment == "nice" + + (actor_input,) = scraper.calls + assert [u.url for u in actor_input.startUrls] == [ + "https://www.youtube.com/watch?v=abc" + ] + + +async def test_forwards_max_comments_and_sort(): + scraper = _FakeScraper([]) + execute = build_comments_executor(scrape_fn=scraper) + + await execute( + CommentsInput( + urls=["https://youtu.be/abc"], + max_comments=50, + sort_by="TOP_COMMENTS", + ) + ) + + (actor_input,) = scraper.calls + assert actor_input.maxComments == 50 + assert actor_input.sortCommentsBy == "TOP_COMMENTS" diff --git a/surfsense_backend/tests/unit/capabilities/youtube/comments/test_schemas.py b/surfsense_backend/tests/unit/capabilities/youtube/comments/test_schemas.py new file mode 100644 index 000000000..129473f7b --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/youtube/comments/test_schemas.py @@ -0,0 +1,35 @@ +"""``youtube.comments`` input guards: URLs required and batch/count bounded.""" + +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from app.capabilities.youtube.comments.schemas import ( + MAX_COMMENT_VIDEOS, + CommentsInput, +) + +pytestmark = pytest.mark.unit + + +def test_rejects_empty_url_batch(): + with pytest.raises(ValidationError): + CommentsInput(urls=[]) + + +def test_rejects_batch_over_the_cap(): + too_many = [f"https://youtu.be/{i}" for i in range(MAX_COMMENT_VIDEOS + 1)] + with pytest.raises(ValidationError): + CommentsInput(urls=too_many) + + +def test_defaults_max_comments_and_newest_first(): + payload = CommentsInput(urls=["https://youtu.be/abc"]) + assert payload.max_comments == 20 + assert payload.sort_by == "NEWEST_FIRST" + + +def test_rejects_zero_max_comments(): + with pytest.raises(ValidationError): + CommentsInput(urls=["https://youtu.be/abc"], max_comments=0) diff --git a/surfsense_backend/tests/unit/capabilities/youtube/scrape/__init__.py b/surfsense_backend/tests/unit/capabilities/youtube/scrape/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/capabilities/youtube/scrape/test_executor.py b/surfsense_backend/tests/unit/capabilities/youtube/scrape/test_executor.py new file mode 100644 index 000000000..48c849cb5 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/youtube/scrape/test_executor.py @@ -0,0 +1,87 @@ +"""``youtube.scrape`` executor: verb input → actor input mapping → typed items. + +Boundary mocked: the proprietary scraper (injected fake). NOT mocked: the verb's +own payload→YouTubeScrapeInput mapping and the dict→VideoItem wrapping. +""" + +from __future__ import annotations + +import pytest + +from app.capabilities.youtube.scrape.executor import build_scrape_executor +from app.capabilities.youtube.scrape.schemas import ScrapeInput, ScrapeOutput +from app.proprietary.platforms.youtube import YouTubeScrapeInput + +pytestmark = pytest.mark.unit + + +class _FakeScraper: + """Records the actor input it was called with and returns canned items.""" + + def __init__(self, items: list[dict]): + self._items = items + self.calls: list[YouTubeScrapeInput] = [] + + async def __call__(self, actor_input: YouTubeScrapeInput) -> list[dict]: + self.calls.append(actor_input) + return self._items + + +async def test_maps_urls_to_start_urls_and_wraps_items(): + scraper = _FakeScraper([{"id": "abc", "title": "Hello"}]) + execute = build_scrape_executor(scrape_fn=scraper) + + out = await execute(ScrapeInput(urls=["https://www.youtube.com/watch?v=abc"])) + + assert isinstance(out, ScrapeOutput) + assert len(out.items) == 1 + assert out.items[0].id == "abc" + assert out.items[0].title == "Hello" + + (actor_input,) = scraper.calls + assert [u.url for u in actor_input.startUrls] == [ + "https://www.youtube.com/watch?v=abc" + ] + assert actor_input.searchQueries == [] + + +async def test_forwards_search_queries(): + scraper = _FakeScraper([]) + execute = build_scrape_executor(scrape_fn=scraper) + + await execute(ScrapeInput(search_queries=["python", "rust"])) + + (actor_input,) = scraper.calls + assert actor_input.searchQueries == ["python", "rust"] + assert actor_input.startUrls == [] + + +async def test_max_results_caps_every_content_type(): + scraper = _FakeScraper([]) + execute = build_scrape_executor(scrape_fn=scraper) + + await execute(ScrapeInput(search_queries=["x"], max_results=7)) + + (actor_input,) = scraper.calls + # Videos, shorts, and streams must all inherit the caller's cap, otherwise a + # channel scrape would silently return only plain videos (actor default 0). + assert actor_input.maxResults == 7 + assert actor_input.maxResultsShorts == 7 + assert actor_input.maxResultStreams == 7 + + +async def test_forwards_subtitle_options(): + scraper = _FakeScraper([]) + execute = build_scrape_executor(scrape_fn=scraper) + + await execute( + ScrapeInput( + urls=["https://youtu.be/abc"], + download_subtitles=True, + subtitles_language="fr", + ) + ) + + (actor_input,) = scraper.calls + assert actor_input.downloadSubtitles is True + assert actor_input.subtitlesLanguage == "fr" diff --git a/surfsense_backend/tests/unit/capabilities/youtube/scrape/test_schemas.py b/surfsense_backend/tests/unit/capabilities/youtube/scrape/test_schemas.py new file mode 100644 index 000000000..9d0477dfe --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/youtube/scrape/test_schemas.py @@ -0,0 +1,40 @@ +"""``youtube.scrape`` input guards: a source is required and the batch is bounded.""" + +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from app.capabilities.youtube.scrape.schemas import ( + MAX_YOUTUBE_SOURCES, + ScrapeInput, +) + +pytestmark = pytest.mark.unit + + +def test_rejects_input_with_neither_urls_nor_queries(): + with pytest.raises(ValidationError): + ScrapeInput() + + +def test_accepts_urls_only(): + payload = ScrapeInput(urls=["https://www.youtube.com/watch?v=abc"]) + assert payload.search_queries == [] + + +def test_accepts_search_queries_only(): + payload = ScrapeInput(search_queries=["python tutorial"]) + assert payload.urls == [] + + +def test_max_results_defaults_and_is_bounded(): + assert ScrapeInput(search_queries=["x"]).max_results == 10 + with pytest.raises(ValidationError): + ScrapeInput(search_queries=["x"], max_results=0) + + +def test_rejects_more_sources_than_the_cap(): + too_many = [f"https://youtu.be/{i}" for i in range(MAX_YOUTUBE_SOURCES + 1)] + with pytest.raises(ValidationError): + ScrapeInput(urls=too_many) diff --git a/surfsense_backend/tests/unit/capabilities/youtube/test_registry.py b/surfsense_backend/tests/unit/capabilities/youtube/test_registry.py new file mode 100644 index 000000000..756b65176 --- /dev/null +++ b/surfsense_backend/tests/unit/capabilities/youtube/test_registry.py @@ -0,0 +1,32 @@ +"""The youtube namespace registers each verb as one Capability the doors/agent read.""" + +from __future__ import annotations + +import pytest + +from app.capabilities import ( + youtube, # noqa: F401 — importing the namespace registers its verbs +) +from app.capabilities.core.store import get_capability +from app.capabilities.youtube.comments.schemas import CommentsInput, CommentsOutput +from app.capabilities.youtube.scrape.schemas import ScrapeInput, ScrapeOutput + +pytestmark = pytest.mark.unit + + +def test_youtube_scrape_is_registered_and_free(): + cap = get_capability("youtube.scrape") + + assert cap.name == "youtube.scrape" + assert cap.input_schema is ScrapeInput + assert cap.output_schema is ScrapeOutput + assert cap.billing_unit is None + + +def test_youtube_comments_is_registered_and_free(): + cap = get_capability("youtube.comments") + + assert cap.name == "youtube.comments" + assert cap.input_schema is CommentsInput + assert cap.output_schema is CommentsOutput + assert cap.billing_unit is None diff --git a/surfsense_backend/tests/unit/connector_indexers/test_confluence_parallel.py b/surfsense_backend/tests/unit/connector_indexers/test_confluence_parallel.py index ff85096d4..99af07b72 100644 --- a/surfsense_backend/tests/unit/connector_indexers/test_confluence_parallel.py +++ b/surfsense_backend/tests/unit/connector_indexers/test_confluence_parallel.py @@ -69,7 +69,7 @@ async def test_build_connector_doc_produces_correct_fields(): page, markdown, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -77,7 +77,7 @@ async def test_build_connector_doc_produces_correct_fields(): assert doc.unique_id == "abc-123" assert doc.document_type == DocumentType.CONFLUENCE_CONNECTOR assert doc.source_markdown == markdown - assert doc.search_space_id == _SEARCH_SPACE_ID + assert doc.workspace_id == _SEARCH_SPACE_ID assert doc.connector_id == _CONNECTOR_ID assert doc.created_by_id == _USER_ID assert doc.metadata["page_id"] == "abc-123" @@ -181,7 +181,7 @@ async def _run_index(mocks, **overrides): return await index_confluence_pages( session=mocks["session"], connector_id=overrides.get("connector_id", _CONNECTOR_ID), - search_space_id=overrides.get("search_space_id", _SEARCH_SPACE_ID), + workspace_id=overrides.get("workspace_id", _SEARCH_SPACE_ID), user_id=overrides.get("user_id", _USER_ID), start_date=overrides.get("start_date", "2025-01-01"), end_date=overrides.get("end_date", "2025-12-31"), diff --git a/surfsense_backend/tests/unit/connector_indexers/test_dropbox_parallel.py b/surfsense_backend/tests/unit/connector_indexers/test_dropbox_parallel.py index a74591169..034aeb8b8 100644 --- a/surfsense_backend/tests/unit/connector_indexers/test_dropbox_parallel.py +++ b/surfsense_backend/tests/unit/connector_indexers/test_dropbox_parallel.py @@ -69,7 +69,7 @@ async def test_single_file_returns_one_connector_document( mock_dropbox_client, [_make_file_dict("f1", "test.txt")], connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -94,7 +94,7 @@ async def test_multiple_files_all_produce_documents( mock_dropbox_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -121,7 +121,7 @@ async def test_one_download_exception_does_not_block_others( mock_dropbox_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -147,7 +147,7 @@ async def test_etl_error_counts_as_download_failure( mock_dropbox_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -185,7 +185,7 @@ async def test_concurrency_bounded_by_semaphore( mock_dropbox_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, max_concurrency=2, ) @@ -224,7 +224,7 @@ async def test_heartbeat_fires_during_parallel_downloads( mock_dropbox_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, on_heartbeat=_on_heartbeat, ) @@ -257,7 +257,7 @@ def full_scan_mocks(mock_dropbox_client, monkeypatch): monkeypatch.setattr("app.config.config.ETL_SERVICE", "LLAMACLOUD") - async def _fake_skip(session, file, search_space_id): + async def _fake_skip(session, file, workspace_id): from app.connectors.dropbox.file_types import should_skip_file as _skip item_skip, unsup_ext = _skip(file) @@ -389,7 +389,7 @@ def selected_files_mocks(mock_dropbox_client, monkeypatch): skip_results: dict[str, tuple[bool, str | None]] = {} - async def _fake_skip(session, file, search_space_id): + async def _fake_skip(session, file, workspace_id): return skip_results.get(file["id"], (False, None)) monkeypatch.setattr(_mod, "_should_skip_file", _fake_skip) @@ -430,7 +430,7 @@ async def _run_selected(mocks, file_tuples): mocks["session"], file_tuples, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -547,7 +547,7 @@ async def test_delta_sync_deletions_call_remove_document(monkeypatch): remove_calls: list[str] = [] - async def _fake_remove(session, file_id, search_space_id): + async def _fake_remove(session, file_id, workspace_id): remove_calls.append(file_id) monkeypatch.setattr(_mod, "_remove_document", _fake_remove) @@ -641,7 +641,7 @@ async def test_delta_sync_mix_deletions_and_upserts(monkeypatch): remove_calls: list[str] = [] - async def _fake_remove(session, file_id, search_space_id): + async def _fake_remove(session, file_id, workspace_id): remove_calls.append(file_id) monkeypatch.setattr(_mod, "_remove_document", _fake_remove) diff --git a/surfsense_backend/tests/unit/connector_indexers/test_etl_credits.py b/surfsense_backend/tests/unit/connector_indexers/test_etl_credits.py index aca811ee9..a2f78751c 100644 --- a/surfsense_backend/tests/unit/connector_indexers/test_etl_credits.py +++ b/surfsense_backend/tests/unit/connector_indexers/test_etl_credits.py @@ -201,7 +201,7 @@ async def _run_gdrive_selected(mocks, file_ids): mocks["session"], file_ids, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -542,7 +542,7 @@ async def _run_onedrive_selected(mocks, file_ids): mocks["session"], file_ids, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -641,7 +641,7 @@ async def _run_dropbox_selected(mocks, file_paths): mocks["session"], file_paths, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) diff --git a/surfsense_backend/tests/unit/connector_indexers/test_google_drive_parallel.py b/surfsense_backend/tests/unit/connector_indexers/test_google_drive_parallel.py index 4f61976a6..53ccb690d 100644 --- a/surfsense_backend/tests/unit/connector_indexers/test_google_drive_parallel.py +++ b/surfsense_backend/tests/unit/connector_indexers/test_google_drive_parallel.py @@ -64,7 +64,7 @@ async def test_single_file_returns_one_connector_document( mock_drive_client, [_make_file_dict("f1", "test.txt")], connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -88,7 +88,7 @@ async def test_multiple_files_all_produce_documents( mock_drive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -115,7 +115,7 @@ async def test_one_download_exception_does_not_block_others( mock_drive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -141,7 +141,7 @@ async def test_etl_error_counts_as_download_failure( mock_drive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -180,7 +180,7 @@ async def test_concurrency_bounded_by_semaphore( mock_drive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, max_concurrency=2, ) @@ -219,7 +219,7 @@ async def test_heartbeat_fires_during_parallel_downloads( mock_drive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, on_heartbeat=_on_heartbeat, ) @@ -284,7 +284,7 @@ def full_scan_mocks(mock_drive_client, monkeypatch): skip_results: dict[str, tuple[bool, str | None]] = {} - async def _fake_skip(session, file, search_space_id): + async def _fake_skip(session, file, workspace_id): return skip_results.get(file["id"], (False, None)) monkeypatch.setattr(_mod, "_should_skip_file", _fake_skip) @@ -458,7 +458,7 @@ async def test_delta_sync_removals_serial_rest_parallel(monkeypatch): remove_calls: list[str] = [] - async def _fake_remove(session, file_id, search_space_id): + async def _fake_remove(session, file_id, workspace_id): remove_calls.append(file_id) monkeypatch.setattr(_mod, "_remove_document", _fake_remove) @@ -532,7 +532,7 @@ def selected_files_mocks(mock_drive_client, monkeypatch): skip_results: dict[str, tuple[bool, str | None]] = {} - async def _fake_skip(session, file, search_space_id): + async def _fake_skip(session, file, workspace_id): return skip_results.get(file["id"], (False, None)) monkeypatch.setattr(_mod, "_should_skip_file", _fake_skip) @@ -563,7 +563,7 @@ async def _run_selected(mocks, file_ids): mocks["session"], file_ids, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) diff --git a/surfsense_backend/tests/unit/connector_indexers/test_linear_parallel.py b/surfsense_backend/tests/unit/connector_indexers/test_linear_parallel.py index f057a6352..3639dcebb 100644 --- a/surfsense_backend/tests/unit/connector_indexers/test_linear_parallel.py +++ b/surfsense_backend/tests/unit/connector_indexers/test_linear_parallel.py @@ -68,7 +68,7 @@ async def test_build_connector_doc_produces_correct_fields(): formatted, markdown, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -76,7 +76,7 @@ async def test_build_connector_doc_produces_correct_fields(): assert doc.unique_id == "abc-123" assert doc.document_type == DocumentType.LINEAR_CONNECTOR assert doc.source_markdown == markdown - assert doc.search_space_id == _SEARCH_SPACE_ID + assert doc.workspace_id == _SEARCH_SPACE_ID assert doc.connector_id == _CONNECTOR_ID assert doc.created_by_id == _USER_ID assert doc.metadata["issue_id"] == "abc-123" @@ -196,7 +196,7 @@ async def _run_index(mocks, **overrides): return await index_linear_issues( session=mocks["session"], connector_id=overrides.get("connector_id", _CONNECTOR_ID), - search_space_id=overrides.get("search_space_id", _SEARCH_SPACE_ID), + workspace_id=overrides.get("workspace_id", _SEARCH_SPACE_ID), user_id=overrides.get("user_id", _USER_ID), start_date=overrides.get("start_date", "2025-01-01"), end_date=overrides.get("end_date", "2025-12-31"), diff --git a/surfsense_backend/tests/unit/connector_indexers/test_notion_parallel.py b/surfsense_backend/tests/unit/connector_indexers/test_notion_parallel.py index e40f739d8..35c3f3f69 100644 --- a/surfsense_backend/tests/unit/connector_indexers/test_notion_parallel.py +++ b/surfsense_backend/tests/unit/connector_indexers/test_notion_parallel.py @@ -39,7 +39,7 @@ async def test_build_connector_doc_produces_correct_fields(): page, markdown, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -47,7 +47,7 @@ async def test_build_connector_doc_produces_correct_fields(): assert doc.unique_id == "abc-123" assert doc.document_type == DocumentType.NOTION_CONNECTOR assert doc.source_markdown == markdown - assert doc.search_space_id == _SEARCH_SPACE_ID + assert doc.workspace_id == _SEARCH_SPACE_ID assert doc.connector_id == _CONNECTOR_ID assert doc.created_by_id == _USER_ID assert doc.metadata["page_title"] == "My Notion Page" @@ -159,7 +159,7 @@ async def _run_index(mocks, **overrides): return await index_notion_pages( session=mocks["session"], connector_id=overrides.get("connector_id", _CONNECTOR_ID), - search_space_id=overrides.get("search_space_id", _SEARCH_SPACE_ID), + workspace_id=overrides.get("workspace_id", _SEARCH_SPACE_ID), user_id=overrides.get("user_id", _USER_ID), start_date=overrides.get("start_date", "2025-01-01"), end_date=overrides.get("end_date", "2025-12-31"), diff --git a/surfsense_backend/tests/unit/connector_indexers/test_onedrive_parallel.py b/surfsense_backend/tests/unit/connector_indexers/test_onedrive_parallel.py index 01e81da17..3fca64bbc 100644 --- a/surfsense_backend/tests/unit/connector_indexers/test_onedrive_parallel.py +++ b/surfsense_backend/tests/unit/connector_indexers/test_onedrive_parallel.py @@ -63,7 +63,7 @@ async def test_single_file_returns_one_connector_document( mock_onedrive_client, [_make_file_dict("f1", "test.txt")], connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -88,7 +88,7 @@ async def test_multiple_files_all_produce_documents( mock_onedrive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -115,7 +115,7 @@ async def test_one_download_exception_does_not_block_others( mock_onedrive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -141,7 +141,7 @@ async def test_etl_error_counts_as_download_failure( mock_onedrive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, ) @@ -179,7 +179,7 @@ async def test_concurrency_bounded_by_semaphore( mock_onedrive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, max_concurrency=2, ) @@ -218,7 +218,7 @@ async def test_heartbeat_fires_during_parallel_downloads( mock_onedrive_client, files, connector_id=_CONNECTOR_ID, - search_space_id=_SEARCH_SPACE_ID, + workspace_id=_SEARCH_SPACE_ID, user_id=_USER_ID, on_heartbeat=_on_heartbeat, ) diff --git a/surfsense_backend/tests/unit/event_bus/test_bus.py b/surfsense_backend/tests/unit/event_bus/test_bus.py index 6c970760f..c038092a5 100644 --- a/surfsense_backend/tests/unit/event_bus/test_bus.py +++ b/surfsense_backend/tests/unit/event_bus/test_bus.py @@ -13,7 +13,7 @@ pytestmark = pytest.mark.unit def _event() -> Event: - return Event(event_type="x.happened", payload={"k": "v"}, search_space_id=1) + return Event(event_type="x.happened", payload={"k": "v"}, workspace_id=1) async def _noop(_event: Event) -> None: @@ -152,13 +152,13 @@ async def test_publish_builds_a_stamped_event_and_fans_it_out() -> None: received.append(event) bus.subscribe(handler) - await bus.publish("document.indexed", {"document_id": 42}, search_space_id=7) + await bus.publish("document.indexed", {"document_id": 42}, workspace_id=7) assert len(received) == 1 event = received[0] assert event.event_type == "document.indexed" assert event.payload == {"document_id": 42} - assert event.search_space_id == 7 + assert event.workspace_id == 7 # Engine-stamped identity/time on the way through. assert event.event_id assert event.occurred_at @@ -172,10 +172,10 @@ async def test_publish_defaults_payload_to_empty_dict() -> None: received.append(event) bus.subscribe(handler) - await bus.publish("x.happened", search_space_id=1) + await bus.publish("x.happened", workspace_id=1) assert received[0].payload == {} async def test_publish_with_no_subscribers_is_a_noop() -> None: - await EventBus().publish("x.happened", search_space_id=1) # must not raise + await EventBus().publish("x.happened", workspace_id=1) # must not raise diff --git a/surfsense_backend/tests/unit/event_bus/test_entered_folder_predicate.py b/surfsense_backend/tests/unit/event_bus/test_entered_folder_predicate.py index 1f71e3abb..32f908083 100644 --- a/surfsense_backend/tests/unit/event_bus/test_entered_folder_predicate.py +++ b/surfsense_backend/tests/unit/event_bus/test_entered_folder_predicate.py @@ -14,7 +14,7 @@ pytestmark = pytest.mark.unit def _call(**overrides: Any) -> dict[str, Any] | None: defaults: dict[str, Any] = { "document_id": 1, - "search_space_id": 10, + "workspace_id": 10, "new_folder_id": 7, "previous_folder_id": None, "folder_id_changed": True, @@ -33,7 +33,7 @@ def test_folder_set_ready_fires() -> None: assert result is not None assert result["event_type"] == "document.entered_folder" - assert result["search_space_id"] == 10 + assert result["workspace_id"] == 10 assert result["payload"]["folder_id"] == 7 assert result["payload"]["previous_folder_id"] is None diff --git a/surfsense_backend/tests/unit/event_bus/test_event.py b/surfsense_backend/tests/unit/event_bus/test_event.py index d09cb4364..23a6a2393 100644 --- a/surfsense_backend/tests/unit/event_bus/test_event.py +++ b/surfsense_backend/tests/unit/event_bus/test_event.py @@ -16,17 +16,17 @@ def test_event_carries_caller_supplied_facts() -> None: event = Event( event_type="document.indexed", payload={"document_id": 42, "content_type": "pdf"}, - search_space_id=7, + workspace_id=7, ) assert event.event_type == "document.indexed" assert event.payload == {"document_id": 42, "content_type": "pdf"} - assert event.search_space_id == 7 + assert event.workspace_id == 7 def test_event_stamps_identity_and_time_when_not_supplied() -> None: """Engine stamps id + time so subscribers can dedup/order.""" - event = Event(event_type="x.happened", payload={}, search_space_id=1) + event = Event(event_type="x.happened", payload={}, workspace_id=1) assert event.event_id assert isinstance(event.occurred_at, datetime) @@ -34,8 +34,8 @@ def test_event_stamps_identity_and_time_when_not_supplied() -> None: def test_event_ids_are_unique_per_instance() -> None: """Two events published with identical content are still distinct facts.""" - first = Event(event_type="x.happened", payload={}, search_space_id=1) - second = Event(event_type="x.happened", payload={}, search_space_id=1) + first = Event(event_type="x.happened", payload={}, workspace_id=1) + second = Event(event_type="x.happened", payload={}, workspace_id=1) assert first.event_id != second.event_id @@ -45,7 +45,7 @@ def test_event_survives_json_round_trip() -> None: original = Event( event_type="podcast.generated", payload={"podcast_id": 9, "duration_s": 123.5}, - search_space_id=3, + workspace_id=3, ) restored = Event.model_validate_json(original.model_dump_json()) diff --git a/surfsense_backend/tests/unit/gateway/test_webhook_routes.py b/surfsense_backend/tests/unit/gateway/test_webhook_routes.py index 354c3037d..967d3ba58 100644 --- a/surfsense_backend/tests/unit/gateway/test_webhook_routes.py +++ b/surfsense_backend/tests/unit/gateway/test_webhook_routes.py @@ -330,10 +330,10 @@ async def test_discord_gateway_install_returns_oauth_url(monkeypatch, mocker): "http://localhost:8000/api/v1/gateway/discord/callback", ) monkeypatch.setattr(routes.config, "SECRET_KEY", "test-secret") - monkeypatch.setattr(routes, "check_search_space_access", mocker.AsyncMock()) + monkeypatch.setattr(routes, "check_workspace_access", mocker.AsyncMock()) response = await routes.install_discord_gateway( - search_space_id=123, + workspace_id=123, auth=AuthContext.session( SimpleNamespace(id="00000000-0000-0000-0000-000000000001") ), diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_connector_document.py b/surfsense_backend/tests/unit/indexing_pipeline/test_connector_document.py index f85c632ef..20607508e 100644 --- a/surfsense_backend/tests/unit/indexing_pipeline/test_connector_document.py +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_connector_document.py @@ -14,7 +14,7 @@ def test_valid_document_created_with_required_fields(): source_markdown="## Task\n\nSome content.", unique_id="task-1", document_type=DocumentType.CLICKUP_CONNECTOR, - search_space_id=1, + workspace_id=1, connector_id=42, created_by_id="00000000-0000-0000-0000-000000000001", ) @@ -32,7 +32,7 @@ def test_omitting_created_by_id_raises(): source_markdown="## Content", unique_id="task-1", document_type=DocumentType.CLICKUP_CONNECTOR, - search_space_id=1, + workspace_id=1, connector_id=42, ) @@ -45,7 +45,7 @@ def test_empty_source_markdown_raises(): source_markdown="", unique_id="task-1", document_type=DocumentType.CLICKUP_CONNECTOR, - search_space_id=1, + workspace_id=1, ) @@ -57,7 +57,7 @@ def test_whitespace_only_source_markdown_raises(): source_markdown=" \n\t ", unique_id="task-1", document_type=DocumentType.CLICKUP_CONNECTOR, - search_space_id=1, + workspace_id=1, ) @@ -69,7 +69,7 @@ def test_empty_title_raises(): source_markdown="## Content", unique_id="task-1", document_type=DocumentType.CLICKUP_CONNECTOR, - search_space_id=1, + workspace_id=1, ) @@ -81,21 +81,21 @@ def test_empty_created_by_id_raises(): source_markdown="## Content", unique_id="task-1", document_type=DocumentType.CLICKUP_CONNECTOR, - search_space_id=1, + workspace_id=1, connector_id=42, created_by_id="", ) -def test_zero_search_space_id_raises(): - """search_space_id of zero raises a validation error.""" +def test_zero_workspace_id_raises(): + """workspace_id of zero raises a validation error.""" with pytest.raises(ValidationError): ConnectorDocument( title="Task", source_markdown="## Content", unique_id="task-1", document_type=DocumentType.CLICKUP_CONNECTOR, - search_space_id=0, + workspace_id=0, connector_id=42, created_by_id="00000000-0000-0000-0000-000000000001", ) @@ -109,5 +109,5 @@ def test_empty_unique_id_raises(): source_markdown="## Content", unique_id="", document_type=DocumentType.CLICKUP_CONNECTOR, - search_space_id=1, + workspace_id=1, ) diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_create_placeholder_documents.py b/surfsense_backend/tests/unit/indexing_pipeline/test_create_placeholder_documents.py index 096134efd..374f5156f 100644 --- a/surfsense_backend/tests/unit/indexing_pipeline/test_create_placeholder_documents.py +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_create_placeholder_documents.py @@ -27,7 +27,7 @@ def _make_placeholder(**overrides) -> PlaceholderInfo: "title": "Test Doc", "document_type": DocumentType.GOOGLE_DRIVE_FILE, "unique_id": "file-001", - "search_space_id": 1, + "workspace_id": 1, "connector_id": 42, "created_by_id": "00000000-0000-0000-0000-000000000001", } @@ -36,9 +36,7 @@ def _make_placeholder(**overrides) -> PlaceholderInfo: def _uid_hash(p: PlaceholderInfo) -> str: - return compute_identifier_hash( - p.document_type.value, p.unique_id, p.search_space_id - ) + return compute_identifier_hash(p.document_type.value, p.unique_id, p.workspace_id) def _session_with_existing_hashes(existing: set[str] | None = None): @@ -82,7 +80,7 @@ async def test_creates_documents_with_pending_status_and_commits(): assert doc.document_type == DocumentType.GOOGLE_DRIVE_FILE assert doc.content == "Pending..." assert DocumentStatus.is_state(doc.status, DocumentStatus.PENDING) - assert doc.search_space_id == 1 + assert doc.workspace_id == 1 assert doc.connector_id == 42 session.commit.assert_awaited_once() diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_document_hashing.py b/surfsense_backend/tests/unit/indexing_pipeline/test_document_hashing.py index d04d8b048..6a7c0ddf0 100644 --- a/surfsense_backend/tests/unit/indexing_pipeline/test_document_hashing.py +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_document_hashing.py @@ -19,12 +19,12 @@ def test_different_unique_id_produces_different_hash(make_connector_document): ) -def test_different_search_space_produces_different_identifier_hash( +def test_different_workspace_produces_different_identifier_hash( make_connector_document, ): - """Same document in different search spaces produces different identifier hashes.""" - doc_a = make_connector_document(search_space_id=1) - doc_b = make_connector_document(search_space_id=2) + """Same document in different workspaces produces different identifier hashes.""" + doc_a = make_connector_document(workspace_id=1) + doc_b = make_connector_document(workspace_id=2) assert compute_unique_identifier_hash(doc_a) != compute_unique_identifier_hash( doc_b ) @@ -42,18 +42,18 @@ def test_different_document_type_produces_different_identifier_hash( def test_same_content_same_space_produces_same_content_hash(make_connector_document): - """Identical content in the same search space always produces the same content hash.""" - doc_a = make_connector_document(source_markdown="Hello world", search_space_id=1) - doc_b = make_connector_document(source_markdown="Hello world", search_space_id=1) + """Identical content in the same workspace always produces the same content hash.""" + doc_a = make_connector_document(source_markdown="Hello world", workspace_id=1) + doc_b = make_connector_document(source_markdown="Hello world", workspace_id=1) assert compute_content_hash(doc_a) == compute_content_hash(doc_b) def test_same_content_different_space_produces_different_content_hash( make_connector_document, ): - """Identical content in different search spaces produces different content hashes.""" - doc_a = make_connector_document(source_markdown="Hello world", search_space_id=1) - doc_b = make_connector_document(source_markdown="Hello world", search_space_id=2) + """Identical content in different workspaces produces different content hashes.""" + doc_a = make_connector_document(source_markdown="Hello world", workspace_id=1) + doc_b = make_connector_document(source_markdown="Hello world", workspace_id=2) assert compute_content_hash(doc_a) != compute_content_hash(doc_b) @@ -69,7 +69,7 @@ def test_compute_identifier_hash_matches_connector_doc_hash(make_connector_docum doc = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-123", - search_space_id=5, + workspace_id=5, ) raw_hash = compute_identifier_hash("GOOGLE_GMAIL_CONNECTOR", "msg-123", 5) assert raw_hash == compute_unique_identifier_hash(doc) diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_index_batch.py b/surfsense_backend/tests/unit/indexing_pipeline/test_index_batch.py index 963ac6792..c0d18c9c2 100644 --- a/surfsense_backend/tests/unit/indexing_pipeline/test_index_batch.py +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_index_batch.py @@ -24,12 +24,12 @@ async def test_calls_prepare_then_index_per_document(pipeline, make_connector_do doc1 = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-1", - search_space_id=1, + workspace_id=1, ) doc2 = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-2", - search_space_id=1, + workspace_id=1, ) orm1 = MagicMock(spec=Document) @@ -63,7 +63,7 @@ async def test_skips_document_without_matching_connector_doc( doc1 = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-1", - search_space_id=1, + workspace_id=1, ) orphan_orm = MagicMock(spec=Document) diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_index_batch_parallel.py b/surfsense_backend/tests/unit/indexing_pipeline/test_index_batch_parallel.py index feb7bbc52..13fc5fc70 100644 --- a/surfsense_backend/tests/unit/indexing_pipeline/test_index_batch_parallel.py +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_index_batch_parallel.py @@ -82,7 +82,7 @@ async def test_index_calls_embed_and_chunk_via_to_thread( connector_doc = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-1", - search_space_id=1, + workspace_id=1, ) document = MagicMock(spec=Document) document.id = 1 @@ -140,7 +140,7 @@ async def test_non_code_documents_use_hybrid_chunker( connector_doc = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-1", - search_space_id=1, + workspace_id=1, should_use_code_chunker=False, ) document = MagicMock(spec=Document) @@ -184,7 +184,7 @@ async def test_batch_parallel_indexes_all_documents( make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id=f"msg-{i}", - search_space_id=1, + workspace_id=1, ) for i in range(3) ] @@ -222,7 +222,7 @@ async def test_batch_parallel_one_failure_does_not_affect_others( make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id=f"msg-{i}", - search_space_id=1, + workspace_id=1, ) for i in range(3) ] diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_migrate_legacy_docs.py b/surfsense_backend/tests/unit/indexing_pipeline/test_migrate_legacy_docs.py index 9334fe678..db3864803 100644 --- a/surfsense_backend/tests/unit/indexing_pipeline/test_migrate_legacy_docs.py +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_migrate_legacy_docs.py @@ -42,7 +42,7 @@ async def test_updates_hash_and_type_for_legacy_document( doc = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-abc", - search_space_id=1, + workspace_id=1, ) legacy_hash = compute_identifier_hash("COMPOSIO_GMAIL_CONNECTOR", "msg-abc", 1) @@ -70,7 +70,7 @@ async def test_noop_when_no_legacy_document_exists( doc = make_connector_document( document_type=DocumentType.GOOGLE_GMAIL_CONNECTOR, unique_id="msg-xyz", - search_space_id=1, + workspace_id=1, ) result_mock = MagicMock() @@ -89,7 +89,7 @@ async def test_skips_non_google_doc_types( doc = make_connector_document( document_type=DocumentType.SLACK_CONNECTOR, unique_id="slack-123", - search_space_id=1, + workspace_id=1, ) await pipeline.migrate_legacy_docs([doc]) @@ -111,7 +111,7 @@ async def test_handles_all_three_google_types( doc = make_connector_document( document_type=native_type, unique_id="id-1", - search_space_id=1, + workspace_id=1, ) existing = MagicMock(spec=Document) diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_prepare_placeholder_dedup.py b/surfsense_backend/tests/unit/indexing_pipeline/test_prepare_placeholder_dedup.py index 262885880..bee3ab1a4 100644 --- a/surfsense_backend/tests/unit/indexing_pipeline/test_prepare_placeholder_dedup.py +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_prepare_placeholder_dedup.py @@ -32,7 +32,7 @@ def _make_connector_doc(**overrides) -> ConnectorDocument: "source_markdown": "## Some new content", "unique_id": "file-001", "document_type": DocumentType.GOOGLE_DRIVE_FILE, - "search_space_id": 1, + "workspace_id": 1, "connector_id": 42, "created_by_id": "00000000-0000-0000-0000-000000000001", } diff --git a/surfsense_backend/tests/unit/middleware/test_b_filesystem_rm_rmdir_cloud.py b/surfsense_backend/tests/unit/middleware/test_b_filesystem_rm_rmdir_cloud.py index 898ec3765..b6d7bb10e 100644 --- a/surfsense_backend/tests/unit/middleware/test_b_filesystem_rm_rmdir_cloud.py +++ b/surfsense_backend/tests/unit/middleware/test_b_filesystem_rm_rmdir_cloud.py @@ -39,11 +39,11 @@ pytestmark = pytest.mark.unit def _make_middleware(mode: FilesystemMode = FilesystemMode.CLOUD): selection = FilesystemSelection(mode=mode) - resolver = build_backend_resolver(selection, search_space_id=1) + resolver = build_backend_resolver(selection, workspace_id=1) return build_filesystem_mw( backend_resolver=resolver, filesystem_mode=mode, - search_space_id=1, + workspace_id=1, user_id="00000000-0000-0000-0000-000000000001", thread_id=1, ) @@ -290,7 +290,7 @@ class TestKBPostgresBackendDeleteFilter: def _make_backend(self, state: dict[str, Any]) -> KBPostgresBackend: runtime = SimpleNamespace(state=state) - return KBPostgresBackend(search_space_id=1, runtime=runtime) + return KBPostgresBackend(workspace_id=1, runtime=runtime) def test_pending_filesystem_view_returns_deleted_paths(self): backend = self._make_backend( diff --git a/surfsense_backend/tests/unit/middleware/test_filesystem_backends.py b/surfsense_backend/tests/unit/middleware/test_filesystem_backends.py index dafda17d2..54696a09a 100644 --- a/surfsense_backend/tests/unit/middleware/test_filesystem_backends.py +++ b/surfsense_backend/tests/unit/middleware/test_filesystem_backends.py @@ -38,16 +38,16 @@ def test_backend_resolver_returns_multi_root_backend_for_single_root(tmp_path: P def test_backend_resolver_uses_cloud_mode_by_default(): resolver = build_backend_resolver(FilesystemSelection()) backend = resolver(_RuntimeStub()) - # When no search_space_id is provided we fall back to StateBackend so + # When no workspace_id is provided we fall back to StateBackend so # sub-agents / tests without DB access still work. assert backend.__class__.__name__ == "StateBackend" -def test_backend_resolver_uses_kb_postgres_in_cloud_with_search_space(): - resolver = build_backend_resolver(FilesystemSelection(), search_space_id=42) +def test_backend_resolver_uses_kb_postgres_in_cloud_with_workspace(): + resolver = build_backend_resolver(FilesystemSelection(), workspace_id=42) backend = resolver(_RuntimeStub()) assert backend.__class__.__name__ == "KBPostgresBackend" - assert backend.search_space_id == 42 + assert backend.workspace_id == 42 def test_backend_resolver_returns_multi_root_backend_for_multiple_roots(tmp_path: Path): diff --git a/surfsense_backend/tests/unit/middleware/test_kb_persistence_filesystem_parity.py b/surfsense_backend/tests/unit/middleware/test_kb_persistence_filesystem_parity.py index e78db1e76..ddd2b58c7 100644 --- a/surfsense_backend/tests/unit/middleware/test_kb_persistence_filesystem_parity.py +++ b/surfsense_backend/tests/unit/middleware/test_kb_persistence_filesystem_parity.py @@ -92,7 +92,7 @@ async def test_create_document_allows_identical_content_at_different_paths() -> session, # type: ignore[arg-type] virtual_path="/documents/a/notes.md", content=content, - search_space_id=42, + workspace_id=42, created_by_id="user-1", ) assert isinstance(first, Document) @@ -104,7 +104,7 @@ async def test_create_document_allows_identical_content_at_different_paths() -> session, # type: ignore[arg-type] virtual_path="/documents/b/notes-copy.md", content=content, - search_space_id=42, + workspace_id=42, created_by_id="user-1", ) assert isinstance(second, Document) @@ -121,7 +121,7 @@ async def test_create_document_still_rejects_path_collision() -> None: """Path uniqueness remains the hard invariant. If ``unique_identifier_hash`` already points at an existing row in - the same search space, the create call must raise ``ValueError`` + the same workspace, the create call must raise ``ValueError`` with a clear message — matching the behavior the commit loop relies on to upsert via the existing-row code path. """ @@ -137,7 +137,7 @@ async def test_create_document_still_rejects_path_collision() -> None: session, # type: ignore[arg-type] virtual_path="/documents/notes.md", content="anything", - search_space_id=42, + workspace_id=42, created_by_id="user-1", ) @@ -160,7 +160,7 @@ async def test_create_document_does_not_query_for_content_hash_collision( session, # type: ignore[arg-type] virtual_path="/documents/notes.md", content="hello", - search_space_id=42, + workspace_id=42, created_by_id="user-1", ) # Path-collision SELECT only. No content_hash SELECT. diff --git a/surfsense_backend/tests/unit/middleware/test_kb_persistence_revisions.py b/surfsense_backend/tests/unit/middleware/test_kb_persistence_revisions.py index 023213aaa..bf195d6bb 100644 --- a/surfsense_backend/tests/unit/middleware/test_kb_persistence_revisions.py +++ b/surfsense_backend/tests/unit/middleware/test_kb_persistence_revisions.py @@ -217,7 +217,7 @@ async def test_pre_write_snapshot_defers_dispatch_when_list_provided( session, # type: ignore[arg-type] doc=doc, action_id=42, - search_space_id=1, + workspace_id=1, turn_id="t-1", deferred_dispatches=deferred, ) @@ -262,7 +262,7 @@ async def test_pre_write_snapshot_dispatches_inline_when_list_omitted( session, # type: ignore[arg-type] doc=doc, action_id=88, - search_space_id=1, + workspace_id=1, turn_id="t-1", # No deferred_dispatches arg — fall back to inline dispatch. ) @@ -302,7 +302,7 @@ async def test_pre_mkdir_snapshot_defers_dispatch_when_list_provided( session, # type: ignore[arg-type] folder=folder, action_id=55, - search_space_id=1, + workspace_id=1, turn_id="t-1", deferred_dispatches=deferred, ) diff --git a/surfsense_backend/tests/unit/middleware/test_kb_postgres_read.py b/surfsense_backend/tests/unit/middleware/test_kb_postgres_read.py index 8117a6bdb..e153c0f94 100644 --- a/surfsense_backend/tests/unit/middleware/test_kb_postgres_read.py +++ b/surfsense_backend/tests/unit/middleware/test_kb_postgres_read.py @@ -28,7 +28,7 @@ pytestmark = pytest.mark.unit def _backend(state: dict) -> KBPostgresBackend: - return KBPostgresBackend(search_space_id=1, runtime=SimpleNamespace(state=state)) + return KBPostgresBackend(workspace_id=1, runtime=SimpleNamespace(state=state)) def test_render_full_document_uses_full_view_and_registers() -> None: diff --git a/surfsense_backend/tests/unit/middleware/test_knowledge_tree.py b/surfsense_backend/tests/unit/middleware/test_knowledge_tree.py index c14eca080..5c4bb7504 100644 --- a/surfsense_backend/tests/unit/middleware/test_knowledge_tree.py +++ b/surfsense_backend/tests/unit/middleware/test_knowledge_tree.py @@ -101,7 +101,7 @@ class TestFormatTreeRendering: docs = [_Row(**spec) for spec in doc_specs] mw = KnowledgeTreeMiddleware( - search_space_id=1, + workspace_id=1, filesystem_mode=None, # type: ignore[arg-type] ) return mw._format_tree(index, docs) diff --git a/surfsense_backend/tests/unit/notifications/api/test_transform.py b/surfsense_backend/tests/unit/notifications/api/test_transform.py index 96624fe61..621859d6e 100644 --- a/surfsense_backend/tests/unit/notifications/api/test_transform.py +++ b/surfsense_backend/tests/unit/notifications/api/test_transform.py @@ -53,7 +53,7 @@ def _notification(**overrides) -> Notification: defaults = { "id": 1, "user_id": uuid.uuid4(), - "search_space_id": 3, + "workspace_id": 3, "type": "document_processing", "title": "Title", "message": "Message", diff --git a/surfsense_backend/tests/unit/notifications/service/messages/test_document_processing.py b/surfsense_backend/tests/unit/notifications/service/messages/test_document_processing.py index 9fc93d3ed..a27d9cdb7 100644 --- a/surfsense_backend/tests/unit/notifications/service/messages/test_document_processing.py +++ b/surfsense_backend/tests/unit/notifications/service/messages/test_document_processing.py @@ -10,7 +10,7 @@ pytestmark = pytest.mark.unit def test_operation_id_encodes_type_and_space(): - """The operation id embeds the document type and search space id.""" + """The operation id embeds the document type and workspace id.""" op = msg.operation_id("FILE", "report.pdf", 9) assert op.startswith("doc_FILE_9_") diff --git a/surfsense_backend/tests/unit/notifications/service/messages/test_insufficient_credits.py b/surfsense_backend/tests/unit/notifications/service/messages/test_insufficient_credits.py index c5366cce2..a7959af6e 100644 --- a/surfsense_backend/tests/unit/notifications/service/messages/test_insufficient_credits.py +++ b/surfsense_backend/tests/unit/notifications/service/messages/test_insufficient_credits.py @@ -9,8 +9,8 @@ from app.notifications.service.messages import insufficient_credits as msg pytestmark = pytest.mark.unit -def test_operation_id_encodes_search_space(): - """The operation id embeds the search space id.""" +def test_operation_id_encodes_workspace(): + """The operation id embeds the workspace id.""" assert msg.operation_id("doc.pdf", 9).startswith("insufficient_credits_9_") diff --git a/surfsense_backend/tests/unit/observability/test_helpers.py b/surfsense_backend/tests/unit/observability/test_helpers.py index eafb8b626..00e51e467 100644 --- a/surfsense_backend/tests/unit/observability/test_helpers.py +++ b/surfsense_backend/tests/unit/observability/test_helpers.py @@ -26,7 +26,6 @@ def _disable_otel(monkeypatch: pytest.MonkeyPatch): ("delete_folder_documents_background", "delete"), ("delete_search_space_background", "delete"), ("process_extension_document", "process"), - ("process_youtube_video", "process"), ("process_file_upload", "process"), ("process_file_upload_with_document", "process"), ("process_circleback_meeting", "process"), @@ -36,7 +35,6 @@ def _disable_otel(monkeypatch: pytest.MonkeyPatch): ("cleanup_stale_indexing_notifications", "cleanup"), ("reconcile_pending_stripe_credit_purchases", "reconcile"), ("check_periodic_schedules", "check"), - ("ai_sort_search_space", "ai"), ("index_notion_pages", "index"), ("index_github_repos", "index"), ("index_google_drive_files", "index"), diff --git a/surfsense_backend/tests/unit/observability/test_otel.py b/surfsense_backend/tests/unit/observability/test_otel.py index d3718e7b9..84c6225e2 100644 --- a/surfsense_backend/tests/unit/observability/test_otel.py +++ b/surfsense_backend/tests/unit/observability/test_otel.py @@ -166,11 +166,11 @@ class TestMetricHelpers: model="gpt-4o", provider="openai", ) - metrics.record_tool_call_duration(3.0, tool_name="web_search") - metrics.record_tool_call_error(tool_name="web_search") + metrics.record_tool_call_duration(3.0, tool_name="scrape_webpage") + metrics.record_tool_call_error(tool_name="scrape_webpage") metrics.record_kb_search_duration( 4.0, - search_space_id=1, + workspace_id=1, surface="documents", ) metrics.record_compaction_run(reason="auto") @@ -250,7 +250,7 @@ class TestNoopSpansWhenDisabled: helpers = [ otel.tool_call_span("write_file", input_size=42), otel.model_call_span(model_id="openai:gpt-4o", provider="openai"), - otel.kb_search_span(search_space_id=1, query_chars=99), + otel.kb_search_span(workspace_id=1, query_chars=99), otel.kb_persist_span(document_type="NOTE", document_id=7), otel.compaction_span(reason="overflow", messages_in=120), otel.interrupt_span(interrupt_type="permission_ask"), @@ -278,3 +278,30 @@ class TestEnabledIntegration: sp.set_attribute("tool.truncated", False) with otel.model_call_span(model_id="m", provider="p") as sp: sp.set_attribute("retry.count", 3) + + +class TestPackageVersionResilience: + """A version-tag lookup must never crash the request path (e.g. subagents). + + An editable/dynamic install can have distribution metadata with no + ``Version`` field, which raises ``KeyError`` deep inside importlib.metadata. + ``_package_version`` must swallow that and every other lookup failure. + """ + + def test_missing_version_key_falls_back( + self, monkeypatch: pytest.MonkeyPatch + ) -> None: + def _raise_key_error(_name: str) -> str: + raise KeyError("Version") + + monkeypatch.setattr(metrics.metadata, "version", _raise_key_error) + assert metrics._package_version() == "unknown" + + def test_package_not_found_falls_back( + self, monkeypatch: pytest.MonkeyPatch + ) -> None: + def _raise_not_found(_name: str) -> str: + raise metrics.metadata.PackageNotFoundError("surf-new-backend") + + monkeypatch.setattr(metrics.metadata, "version", _raise_not_found) + assert metrics._package_version() == "unknown" diff --git a/surfsense_backend/tests/unit/observability/test_retriever_otel.py b/surfsense_backend/tests/unit/observability/test_retriever_otel.py index 9712a3150..b98317376 100644 --- a/surfsense_backend/tests/unit/observability/test_retriever_otel.py +++ b/surfsense_backend/tests/unit/observability/test_retriever_otel.py @@ -48,14 +48,14 @@ async def test_retriever_wrapper_records_one_span_and_metric(monkeypatch) -> Non self, query_text: str, top_k: int, - search_space_id: int, + workspace_id: int, ) -> list[str]: - del query_text, top_k, search_space_id + del query_text, top_k, workspace_id return ["doc-1", "doc-2"] result = await Retriever().search("hello", 3, 42) assert result == ["doc-1", "doc-2"] assert len(calls) == 1 - assert calls[0]["search_space_id"] == 42 + assert calls[0]["workspace_id"] == 42 assert calls[0]["surface"] == "documents" diff --git a/surfsense_backend/tests/unit/platforms/__init__.py b/surfsense_backend/tests/unit/platforms/__init__.py new file mode 100644 index 000000000..116a188e2 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/__init__.py @@ -0,0 +1 @@ +"""Platform-native scraper packages live here (one subpackage per platform).""" diff --git a/surfsense_backend/tests/unit/platforms/google_maps/__init__.py b/surfsense_backend/tests/unit/platforms/google_maps/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/platforms/google_maps/test_parsers.py b/surfsense_backend/tests/unit/platforms/google_maps/test_parsers.py new file mode 100644 index 000000000..a0643c8b6 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/google_maps/test_parsers.py @@ -0,0 +1,175 @@ +"""Offline parser tests against a captured real place ``darray`` fixture. + +The fixture is the ``jd[6]`` array from a live ``/maps/preview/place`` RPC +response for "Kim's Island" (the restaurant used in the Apify output example), +regenerated by ``scripts/e2e_google_maps_scraper.py``. These tests pin the +array-index paths so a Google structure shift is caught offline. +""" + +import json +from pathlib import Path + +import pytest + +from app.proprietary.platforms.google_maps.fetch import strip_xssi +from app.proprietary.platforms.google_maps.parsers import ( + brace_match_json, + dig, + parse_place, +) + +_FIXTURE = Path(__file__).parent / "fixtures" / "place_darray.json" + + +@pytest.fixture +def darray() -> list: + return json.loads(_FIXTURE.read_text(encoding="utf-8")) + + +def test_parse_place_core_fields(darray): + place = parse_place(darray) + assert place["title"] == "Kim's Island" + assert place["placeId"] == "ChIJJQz5EZzKw4kRCZ95UajbyGw" + assert place["fid"] == "0x89c3ca9c11f90c25:0x6cc8dba851799f09" + assert place["categoryName"] == "Chinese restaurant" + assert "Chinese restaurant" in place["categories"] + assert place["totalScore"] == 4.5 + assert place["phone"] == "(718) 356-5168" + assert place["website"] == "http://kimsislandsi.com/" + assert place["plusCode"].startswith("GQ62+8M") + + +def test_parse_place_address_components(darray): + place = parse_place(darray) + assert place["neighborhood"] == "Tottenville" + assert place["street"] == "175 Main St" + assert place["city"] == "Staten Island" + assert place["postalCode"] == "10307" + assert place["state"] == "New York" + assert place["countryCode"] == "US" + + +def test_parse_place_location_and_hours(darray): + place = parse_place(darray) + assert place["location"]["lat"] == pytest.approx(40.5107736) + assert place["location"]["lng"] == pytest.approx(-74.2482624) + hours = place["openingHours"] + assert hours and all("day" in h and "hours" in h for h in hours) + + +def test_parse_place_detail_extras(darray): + place = parse_place(darray) + assert place["kgmid"] == "/g/1tmgdcj8" + # cid = decimal of the fid's second hex half + assert place["cid"] == str(int("0x6cc8dba851799f09", 16)) + info = place["additionalInfo"] + assert "Accessibility" in info + assert {"Wheelchair accessible entrance": True} in info["Accessibility"] + # every option is a single {name: bool} pair + for entries in info.values(): + for entry in entries: + assert len(entry) == 1 + assert all(isinstance(v, bool) for v in entry.values()) + + +def test_parse_place_session_gated_fields(darray): + # These fields only appear when the RPC is sent with an NID session + # cookie + the full-page pb selector; the fixture pins that payload. + place = parse_place(darray) + dist = place["reviewsDistribution"] + assert set(dist) == {"oneStar", "twoStar", "threeStar", "fourStar", "fiveStar"} + assert place["reviewsCount"] == sum(dist.values()) + assert place["imagesCount"] > 0 + assert "All" in place["imageCategories"] + assert all(u.startswith("https://") for u in place["imageUrls"]) + tags = place["reviewsTags"] + assert tags and all( + isinstance(t["title"], str) and isinstance(t["count"], int) for t in tags + ) + assert len(place["additionalInfo"]) >= 5 # full sections, not just Accessibility + + +def test_parse_place_hotel_fields(): + # Fixture: live darray for The Plaza (NYC), captured via the detail RPC. + fixture = Path(__file__).parent / "fixtures" / "hotel_darray.json" + place = parse_place(json.loads(fixture.read_text(encoding="utf-8"))) + assert place["title"] == "The Plaza" + assert place["hotelStars"] == "5 stars" + assert place["checkInDate"] < place["checkOutDate"] # ISO dates compare + assert place["hotelDescription"] + similar = place["similarHotelsNearby"] + assert len(similar) >= 3 + assert all(h["title"] and h["fid"] for h in similar) + assert any("hotel" in (h.get("description") or "").lower() for h in similar) + ads = place["hotelAds"] + assert ads and all(a["url"].startswith("https://") for a in ads) + assert any(a.get("price", "").startswith("$") for a in ads) + + +def test_hotel_fields_absent_for_non_hotels(darray): + # Kim's Island (restaurant) must not grow hotel fields. + place = parse_place(darray) + for key in ("hotelStars", "checkInDate", "similarHotelsNearby", "hotelAds"): + assert key not in place + + +def test_popular_times_shapes(): + from app.proprietary.platforms.google_maps.parsers import _popular_times + + darray: list = [None] * 100 + darray[84] = [ + [[7, [[6, 0, "", "None", "6 AM", "No wait", "6a"], [7, 35]]]], + None, + None, + None, + None, + None, + "A little busy", + [22, 76], + ] + out = _popular_times(darray) + assert out["popularTimesHistogram"] == { + "Su": [ + {"hour": 6, "occupancyPercent": 0}, + {"hour": 7, "occupancyPercent": 35}, + ] + } + assert out["popularTimesLiveText"] == "A little busy" + assert out["popularTimesLivePercent"] == 76 + assert _popular_times([None] * 100) == {} + + +def test_parse_place_reservation_links(): + fixture = Path(__file__).parent / "fixtures" / "search_response.json" + from app.proprietary.platforms.google_maps.fetch import _search_darrays + + jd = json.loads(fixture.read_text(encoding="utf-8")) + place = parse_place(_search_darrays(jd)[0]) + # the first search hit in the fixture carries a reservation provider + links = place["tableReservationLinks"] + assert all(set(link) == {"url", "source"} for link in links) + assert place["reserveTableUrl"] == links[0]["url"] + + +def test_parse_place_omits_missing_fields(darray): + # parse_place drops keys whose path missed, rather than emitting nulls. + place = parse_place(darray) + assert all(v is not None for v in place.values()) + + +def test_dig_tolerates_ragged_paths(): + assert dig([1, [2, 3]], 1, 0) == 2 + assert dig([1, [2, 3]], 5) is None + assert dig([1, None], 1, 0) is None + assert dig("not a list", 0) is None + + +def test_strip_xssi_and_brace_match_handle_html_wrapper(): + # Mirrors the real proxy response: text/plain body wrapped in

. + raw = ')]}\'\n[1,[2,3],"x"]

' + body = strip_xssi(raw) + blob = brace_match_json(body, body.index("[")) + assert json.loads(blob) == [1, [2, 3], "x"] + + wrapped = '

)]}\'\n[["a"]]' + assert strip_xssi(wrapped).startswith("[[") diff --git a/surfsense_backend/tests/unit/platforms/google_maps/test_reviews.py b/surfsense_backend/tests/unit/platforms/google_maps/test_reviews.py new file mode 100644 index 000000000..abe6567c8 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/google_maps/test_reviews.py @@ -0,0 +1,116 @@ +"""Offline tests for the Google Maps reviews parsing + flow helpers. + +``fixtures/boq_reviews_page.json`` is a real ``GetLocalBoqProxy`` page (the +raw review list, ``jd[1][10][2]``) captured by scripts/e2e_google_maps_scraper.py +step 7. Regenerate it with that script if Google shifts the structure. +""" + +import json +from datetime import datetime +from pathlib import Path + +import pytest + +from app.proprietary.platforms.google_maps.fetch import build_reviews_url +from app.proprietary.platforms.google_maps.parsers import ( + parse_review, + parse_reviews_page, + strip_personal_data, +) +from app.proprietary.platforms.google_maps.reviews import _before_cutoff, _keep + +_FIXTURE = Path(__file__).parent / "fixtures" / "boq_reviews_page.json" + + +@pytest.fixture +def reviews_raw() -> list: + return json.loads(_FIXTURE.read_text(encoding="utf-8")) + + +def test_parse_reviews_page_full_page(reviews_raw): + parsed = parse_reviews_page(reviews_raw) + assert len(parsed) == len(reviews_raw) == 10 + for review in parsed: + assert review["name"] + assert review["reviewId"] + assert 1 <= review["stars"] <= 5 + assert review["publishedAtDate"].endswith("Z") + + +def test_parse_review_fields(reviews_raw): + review = parse_review(reviews_raw[0]) + assert review["name"] == "Greg" + assert review["stars"] == 5 + assert review["reviewerId"] == "108156147079988470963" + assert review["reviewerUrl"].startswith("https://www.google.com/maps/contrib/") + assert review["reviewerNumberOfReviews"] == 63 + assert review["isLocalGuide"] is True + assert review["reviewOrigin"] == "Google" + assert review["originalLanguage"] == "en" + assert review["publishAt"] == "2 months ago" + # 1776469524140 ms epoch -> UTC ISO + assert review["publishedAtDate"] == "2026-04-17T23:45:24.140Z" + assert "spiced" in review["text"] + # Guided answers split into context vs per-aspect ratings. + assert review["reviewContext"]["Order type"] == "Take out" + assert review["reviewDetailedRating"]["Food"] == 5 + + +def test_parse_review_owner_response_and_images(reviews_raw): + with_reply = [ + r + for r in (parse_review(x) for x in reviews_raw) + if r and r.get("responseFromOwnerText") + ] + assert with_reply, "fixture should contain at least one owner reply" + assert with_reply[0]["responseFromOwnerText"] + + with_images = [ + r + for r in (parse_review(x) for x in reviews_raw) + if r and r.get("reviewImageUrls") + ] + assert with_images, "fixture should contain at least one review with photos" + assert with_images[0]["reviewImageUrls"][0].startswith("https://") + + +def test_parse_review_rejects_garbage(): + assert parse_review(None) is None + assert parse_review([]) is None + assert parse_review([None, 5]) is None # no author block + + +def test_strip_personal_data(reviews_raw): + review = parse_review(reviews_raw[0]) + strip_personal_data(review) + for key in ("name", "reviewerId", "reviewerUrl", "reviewerPhotoUrl"): + assert key not in review + assert review["reviewId"] # non-personal fields stay + assert review["stars"] == 5 + + +def test_before_cutoff(): + cutoff = datetime(2026, 3, 1) + assert _before_cutoff({"publishedAtDate": "2026-02-01T00:00:00.000Z"}, cutoff) + assert not _before_cutoff({"publishedAtDate": "2026-04-01T00:00:00.000Z"}, cutoff) + assert not _before_cutoff({}, cutoff) # undated reviews are kept + + +def test_keep_filters(): + review = {"text": "Great NOODLES here", "reviewOrigin": "Google"} + assert _keep(review, filter_string="", origin="all") + assert _keep(review, filter_string="noodles", origin="google") + assert not _keep(review, filter_string="pizza", origin="all") + assert not _keep({"reviewOrigin": "TripAdvisor"}, filter_string="", origin="google") + + +def test_build_reviews_url_shape(): + fid = "0x89c3ca9c11f90c25:0x6cc8dba851799f09" + first = build_reviews_url(fid, sort_code=2) + assert "GetLocalBoqProxy" in first + assert "hl=en" in first + assert fid in json.dumps(first) or "0x89c3ca9c11f90c25" in first + # First page requests a page size; later pages carry the token instead. + paged = build_reviews_url(fid, sort_code=2, page_token="TOKEN123") + assert "TOKEN123" in paged + assert paged != first diff --git a/surfsense_backend/tests/unit/platforms/google_maps/test_search.py b/surfsense_backend/tests/unit/platforms/google_maps/test_search.py new file mode 100644 index 000000000..6aeb9e8a4 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/google_maps/test_search.py @@ -0,0 +1,150 @@ +"""Offline tests for the map-search flow: response extraction, URL building, +and the Apify result filters. The fixture is a real ``search?tbm=map`` response +captured by scripts/e2e_google_maps_scraper.py (step 9, query "pizza new york"). +""" + +import json +from pathlib import Path + +import pytest + +from app.proprietary.platforms.google_maps.fetch import ( + _search_darrays, + build_search_url, +) +from app.proprietary.platforms.google_maps.parsers import parse_place +from app.proprietary.platforms.google_maps.schemas import GoogleMapsScrapeInput +from app.proprietary.platforms.google_maps.scraper import ( + _custom_point, + _location_text, + _passes_filters, +) + +_FIXTURE = Path(__file__).parent / "fixtures" / "search_response.json" + + +@pytest.fixture(scope="module") +def search_jd(): + return json.loads(_FIXTURE.read_text(encoding="utf-8")) + + +def test_search_darrays_extracts_full_page(search_jd): + darrays = _search_darrays(search_jd) + assert len(darrays) == 20 + parsed = [parse_place(d) for d in darrays] + for fields in parsed: + assert fields["title"] + assert fields["fid"].startswith("0x") + assert fields["placeId"].startswith("ChIJ") + assert "location" in fields + fids = [f["fid"] for f in parsed] + assert len(set(fids)) == 20 # no dupes within a page + + +def test_search_result_has_detail_fields(search_jd): + fields = parse_place(_search_darrays(search_jd)[0]) + # Search entries carry the full darray, so detail fields come through. + assert fields["categories"] + assert fields["address"] + assert fields["totalScore"] > 0 + assert fields["city"] + + +def test_search_darrays_rejects_garbage(): + assert _search_darrays(None) == [] + assert _search_darrays([]) == [] + assert _search_darrays([[None, None]]) == [] + + +def test_build_search_url_shape(): + url = build_search_url("pizza new york", offset=20, language="de") + assert url.startswith("https://www.google.com/search?tbm=map") + assert "hl=de" in url + assert "q=pizza%20new%20york" in url + assert "!8i20" in url # offset + assert "!7i20" in url # page size + # whole-earth viewport when no coordinates given + assert "!1d25000000" in url + + geo_url = build_search_url("museum", lat=48.85, lng=2.35, radius_m=5000) + assert "!2d2.35" in geo_url and "!3d48.85" in geo_url + assert "!1d10000" in geo_url # radius -> diameter + + +def test_location_text_prefers_location_query(): + assert ( + _location_text(GoogleMapsScrapeInput(locationQuery="Berlin, Germany")) + == "Berlin, Germany" + ) + assert ( + _location_text( + GoogleMapsScrapeInput(city="Austin", state="TX", countryCode="US") + ) + == "Austin, TX, US" + ) + assert _location_text(GoogleMapsScrapeInput()) is None + + +def test_custom_point(): + lat, lng, radius = _custom_point( + GoogleMapsScrapeInput( + customGeolocation={ + "type": "Point", + "coordinates": [2.35, 48.85], + "radiusKm": 5, + } + ) + ) + assert (lat, lng, radius) == (48.85, 2.35, 5000) + assert _custom_point(GoogleMapsScrapeInput()) == (None, None, None) + assert _custom_point( + GoogleMapsScrapeInput(customGeolocation={"type": "Polygon"}) + ) == (None, None, None) + + +def test_passes_filters(): + fields = { + "title": "Joe's Pizza", + "categories": ["Pizza restaurant"], + "totalScore": 4.4, + "website": "https://joes.example", + } + default = GoogleMapsScrapeInput() + assert _passes_filters(fields, "pizza", default) + + assert not _passes_filters( + fields, "pizza", GoogleMapsScrapeInput(searchMatching="only_exact") + ) + assert _passes_filters( + fields, "pizza", GoogleMapsScrapeInput(searchMatching="only_includes") + ) + assert not _passes_filters( + fields, "burger", GoogleMapsScrapeInput(searchMatching="only_includes") + ) + + assert _passes_filters( + fields, "pizza", GoogleMapsScrapeInput(categoryFilterWords=["pizza"]) + ) + assert not _passes_filters( + fields, "pizza", GoogleMapsScrapeInput(categoryFilterWords=["barber"]) + ) + + assert not _passes_filters( + fields, "pizza", GoogleMapsScrapeInput(placeMinimumStars="fourAndHalf") + ) + assert _passes_filters( + fields, "pizza", GoogleMapsScrapeInput(placeMinimumStars="four") + ) + + assert _passes_filters( + fields, "pizza", GoogleMapsScrapeInput(website="withWebsite") + ) + assert not _passes_filters( + fields, "pizza", GoogleMapsScrapeInput(website="withoutWebsite") + ) + + closed = {**fields, "permanentlyClosed": True} + assert not _passes_filters( + closed, "pizza", GoogleMapsScrapeInput(skipClosedPlaces=True) + ) + assert _passes_filters(closed, "pizza", default) diff --git a/surfsense_backend/tests/unit/platforms/google_maps/test_skeleton.py b/surfsense_backend/tests/unit/platforms/google_maps/test_skeleton.py new file mode 100644 index 000000000..4c21cc7fb --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/google_maps/test_skeleton.py @@ -0,0 +1,97 @@ +"""Offline checks for the Google Maps scraper skeleton. + +Covers the pure parts: URL classification and Apify-spec schema defaults/ +serialization. The live flows (place / reviews / search) are covered by the +e2e scripts and the fixture-based parser tests. +""" + +import pytest + +from app.proprietary.platforms.google_maps import ( + GoogleMapsReviewsInput, + GoogleMapsScrapeInput, + PlaceItem, + ReviewItem, +) +from app.proprietary.platforms.google_maps.url_resolver import extract_fid, resolve_url + + +@pytest.mark.parametrize( + ("url", "kind", "value"), + [ + ( + "https://www.google.com/maps/place/Kim's+Island/@40.51,-74.24,17z/data=!4m6", + "place", + "Kim's Island", + ), + ( + "https://www.google.com/maps/search/restaurants/@52.5190603,13.388574,13z/", + "search", + "restaurants", + ), + ("https://www.google.com/maps/reviews/data=!4m8!14m7", "reviews", None), + ( + "https://www.google.com/maps?cid=7838756667406262025", + "cid", + "7838756667406262025", + ), + ("https://goo.gl/maps/abc123", "shortlink", None), + ("https://maps.app.goo.gl/xyz", "shortlink", None), + ], +) +def test_resolve_url(url, kind, value): + resolved = resolve_url(url) + assert resolved is not None + assert resolved.kind == kind + if value is not None: + assert resolved.value == value + + +def test_resolve_url_rejects_non_maps(): + assert resolve_url("https://example.com/maps/place/foo") is None + assert resolve_url("https://www.google.com/search?q=pizza") is None + + +def test_extract_fid(): + url = ( + "https://www.google.com/maps/place/Kim's+Island/@40.51,-74.24,17z/" + "data=!4m6!3m5!1s0x89c3ca9c11f90c25:0x6cc8dba851799f09!8m2" + ) + assert extract_fid(url) == "0x89c3ca9c11f90c25:0x6cc8dba851799f09" + assert extract_fid("https://www.google.com/maps/place/Foo") is None + assert resolve_url(url).fid == "0x89c3ca9c11f90c25:0x6cc8dba851799f09" + + +def test_scrape_input_defaults_match_apify_spec(): + inp = GoogleMapsScrapeInput() + assert inp.language == "en" + assert inp.maxCrawledPlacesPerSearch is None # empty = all places + assert inp.searchMatching == "all" + assert inp.website == "allPlaces" + assert inp.reviewsSort == "newest" + assert inp.reviewsOrigin == "all" + assert inp.scrapeReviewsPersonalData is True + assert inp.maxCompetitorsToAnalyze == 30 + assert inp.scrapeSocialMediaProfiles.facebooks is False + # Unknown fields are accepted (extra="allow") so parity is additive. + GoogleMapsScrapeInput(someFutureField=1) + + +def test_reviews_input_defaults_match_apify_spec(): + inp = GoogleMapsReviewsInput() + assert inp.maxReviews == 10_000_000 + assert inp.reviewsSort == "newest" + assert inp.personalData is True + + +def test_output_items_serialize_full_shape(): + place = PlaceItem(title="Kim's Island", placeId="ChIJx").to_output() + assert place["title"] == "Kim's Island" + assert place["permanentlyClosed"] is False + assert place["categories"] == [] + assert "reviewsDistribution" in place # unsourced fields still emitted + + review = ReviewItem(reviewId="abc", stars=5).to_output() + assert review["stars"] == 5 + assert review["reviewImageUrls"] == [] + assert "responseFromOwnerText" in review diff --git a/surfsense_backend/tests/unit/platforms/google_search/__init__.py b/surfsense_backend/tests/unit/platforms/google_search/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/platforms/google_search/test_browser_loop.py b/surfsense_backend/tests/unit/platforms/google_search/test_browser_loop.py new file mode 100644 index 000000000..447100b4e --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/google_search/test_browser_loop.py @@ -0,0 +1,36 @@ +"""The Windows regression this guards: main.py runs the server on a +SelectorEventLoop (psycopg needs it), and Selector loops cannot spawn +subprocesses — so patchright's Chromium launch died with NotImplementedError +on every render. fetch.py now marshals all browser work onto a dedicated +subprocess-capable loop; this check proves that marshalling works from a +Selector main loop without paying for a real browser launch. +""" + +import asyncio +import sys + +import pytest + +from app.proprietary.platforms.google_search import fetch + + +def test_browser_loop_can_spawn_subprocess_from_selector_loop(): + async def spawn(): + proc = await asyncio.create_subprocess_exec( + sys.executable, + "-c", + "print('ok')", + stdout=asyncio.subprocess.PIPE, + ) + out, _ = await proc.communicate() + return out + + async def main(): + if sys.platform == "win32": + # The original bug: the server's own loop cannot do this. + with pytest.raises(NotImplementedError): + await spawn() + # The fix: the same work marshalled onto the browser loop succeeds. + assert b"ok" in await fetch._in_browser_loop(spawn()) + + asyncio.run(main(), loop_factory=asyncio.SelectorEventLoop) diff --git a/surfsense_backend/tests/unit/platforms/google_search/test_skeleton.py b/surfsense_backend/tests/unit/platforms/google_search/test_skeleton.py new file mode 100644 index 000000000..41a960a0e --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/google_search/test_skeleton.py @@ -0,0 +1,534 @@ +"""Offline checks for the Google Search results scraper. + +Covers the pure parts (no network): queries classification, search-operator +folding, URL building, Apify-spec schema defaults/serialization, and parsing a +rendered SERP into result blocks (against a compact synthetic fixture). The +live fetch / AI Mode flows are exercised by the e2e script, not here. +""" + +from datetime import UTC, datetime + +from app.proprietary.platforms.google_search import ( + GoogleSearchScrapeInput, + SerpItem, +) +from app.proprietary.platforms.google_search.parsers import parse_serp +from app.proprietary.platforms.google_search.query_builder import ( + augment_query, + build_search_url, + parse_queries, + resolve_date, + term_from_url, +) + + +def test_parse_queries_classifies_terms_and_urls(): + entries = parse_queries( + "best SEO tools\n" + "\n" # blank lines are skipped + " https://www.google.com/search?q=apify+web+scraping \n" + "javascript OR python site:stackoverflow.com\n" + "https://example.com/search?q=not-google\n" + ) + assert [(e.kind, e.value) for e in entries] == [ + ("term", "best SEO tools"), + ("url", "https://www.google.com/search?q=apify+web+scraping"), + ("term", "javascript OR python site:stackoverflow.com"), + # non-Google URLs are treated as literal search terms, not scrape URLs + ("term", "https://example.com/search?q=not-google"), + ] + + +def test_term_from_url(): + assert term_from_url("https://www.google.com/search?q=apify+scraping") == ( + "apify scraping" + ) + assert term_from_url("https://www.google.com/search") is None + + +def test_augment_query_folds_all_filters(): + inp = GoogleSearchScrapeInput( + queries="x", + forceExactMatch=True, + site="allrecipes.com", + relatedToSite="ignored.com", # site: wins + wordsInTitle=["easy apple", "pie"], + wordsInText=["cinnamon"], + wordsInUrl=["recipe"], + fileTypes=["pdf", "doc"], + beforeDate="2024-12-31", + afterDate="2024-01-01", + ) + assert augment_query("apple pie", inp) == ( + '"apple pie" site:allrecipes.com intitle:"easy apple" intitle:pie ' + "intext:cinnamon inurl:recipe filetype:pdf OR filetype:doc " + "before:2024-12-31 after:2024-01-01" + ) + + +def test_augment_query_related_used_when_no_site(): + inp = GoogleSearchScrapeInput(queries="x", relatedToSite="example.com") + assert augment_query("q", inp) == "q related:example.com" + + +def test_resolve_date_absolute_and_relative(): + assert resolve_date("2024-05-03") == "2024-05-03" + now = datetime(2026, 7, 3, tzinfo=UTC) + assert resolve_date("8 days", now=now) == "2026-06-25" + assert resolve_date("3 months", now=now) == "2026-04-04" + assert resolve_date("1 year", now=now) == "2025-07-03" + assert resolve_date("someday") is None + + +def test_build_search_url_localization_and_paging(): + inp = GoogleSearchScrapeInput( + queries="x", + countryCode="ES", + searchLanguage="de", + languageCode="en", + locationUule="w+CAIQICIhVW5pdGVkIFN0YXRlcyx1c2E=", + quickDateRange="m6", + includeUnfilteredResults=True, + ) + url = build_search_url("hotels in Seattle", inp, page=2) + assert url.startswith("https://www.google.com/search?q=hotels+in+Seattle") + assert "start=10" in url + assert "gl=es" in url + assert "lr=lang_de" in url + assert "hl=en" in url + assert "uule=w%2BCAIQICIhVW5pdGVkIFN0YXRlcyx1c2E%3D" in url + assert "tbs=qdr%3Am6" in url + assert "filter=0" in url + + plain = build_search_url("q", GoogleSearchScrapeInput(queries="x")) + assert "start=" not in plain # page 1 carries no offset + + +def test_scrape_input_defaults_match_apify_spec(): + inp = GoogleSearchScrapeInput(queries="best SEO tools") + assert inp.maxPagesPerQuery is None # unset = 1 page + assert inp.aiOverview.scrapeFullAiOverview is False + assert inp.aiModeSearch.enableAiMode is False + assert inp.focusOnPaidAds is False + assert inp.forceExactMatch is False + assert inp.mobileResults is False + assert inp.saveHtml is False + assert inp.saveHtmlToKeyValueStore is True # actor default is ON + assert inp.includeIcons is False + # Excluded other-actor add-ons are still accepted (extra="allow") so a + # verbatim Apify payload validates; they are ignored, not modeled. + GoogleSearchScrapeInput( + queries="q", + perplexitySearch={"enablePerplexity": True}, + chatGptSearch={"enableChatGpt": True}, + maximumLeadsEnrichmentRecords=5, + ) + + +def test_output_item_serializes_full_shape(): + item = SerpItem(resultsTotal=42).to_output() + assert item["resultsTotal"] == 42 + assert item["organicResults"] == [] + assert item["paidResults"] == [] + assert item["relatedQueries"] == [] + assert item["peopleAlsoAsk"] == [] + assert item["aiModeResult"] is None # unsourced fields still emitted + assert item["searchQuery"]["device"] == "DESKTOP" + assert item["searchQuery"]["type"] == "SEARCH" + + +# Compact stand-in for a rendered SERP: the selectors parse_serp relies on, +# without the ~1 MB of a live capture. If Google's layout drifts, the fix is in +# parsers.py's selector constants; this fixture pins the expected extraction. +_SERP_FIXTURE = """ + +

About 1,230 results (0.42 seconds)
+
+
+
+ + +

The Example Guide

+ https://example.com > Blog + Example +
+
Jul 2, 2025 · Learn apple pie the easy way.
+
+ + + +
+

Recipes

+
All our recipes ...
+
+

About

+
+
+
+

Second Result

+ second.example
+
No date here, just a snippet.
+
+
+
+
+ +
Buy Apple Pie Online
+
+ https://shop.example +
Fresh pies delivered daily. Order now and save 20%.
+
+
+
+ +
Homemade Apple Pie 9-inch
+
Pie Shop
+ $24.99 + $30 +
+ + + +
+
Apple pie is a classic dessert.Wiki +3
+
  • Best served warm.
+
    +
  • + + A short history of pie. + +
  • +
  • + +
  • +
+
+ + +""" + + +def test_parse_serp_extracts_all_blocks(): + item = parse_serp(_SERP_FIXTURE) + + assert item.resultsTotal == 1230 + + assert len(item.organicResults) == 2 + first = item.organicResults[0] + assert first.position == 1 + assert first.title == "The Example Guide" + assert first.url == "https://example.com/guide" + assert first.displayedUrl == "https://example.com" + assert first.date == "Jul 2, 2025" + assert first.emphasizedKeywords == ["apple pie"] + # The leading date is stripped from the snippet. + assert first.description == "Learn apple pie the easy way." + # Sitelinks come from the sibling table inside this result's card. + assert [(s.title, s.url) for s in first.siteLinks] == [ + ("Recipes", "https://example.com/recipes"), + ("About", "https://example.com/about"), + ] + assert first.siteLinks[0].description == "All our recipes ..." + assert first.siteLinks[1].description is None + + second = item.organicResults[1] + assert second.date is None + assert second.displayedUrl is None # cite without an http head + assert second.siteLinks == [] # no card of its own + + # Icons are opt-in: absent by default, the inlined data URI when asked. + assert first.icon is None + with_icons = parse_serp(_SERP_FIXTURE, include_icons=True) + assert with_icons.organicResults[0].icon == "data:image/png;base64,iVBORfake" + assert with_icons.organicResults[1].icon is None # block carries no favicon + + # Text ad: heading is the title, the anchor is the clean landing URL, and + # the non-heading .Va3FIb is the description (not the title echo). + assert len(item.paidResults) == 1 + ad = item.paidResults[0] + assert ad.title == "Buy Apple Pie Online" + assert ad.url == "https://shop.example/lp" + assert ad.displayedUrl == "https://shop.example" + assert ad.description == "Fresh pies delivered daily. Order now and save 20%." + assert ad.adPosition == 1 + + # Product ad: title, merchant, domain, and both prices. + assert len(item.paidProducts) == 1 + prod = item.paidProducts[0] + assert prod.title == "Homemade Apple Pie 9-inch" + assert prod.url == "https://pieshop.example/p/123" + assert prod.displayedUrl == "pieshop.example" + assert prod.description == "Pie Shop" + assert prod.prices == ["$24.99", "$30"] + + # Related searches exclude the numeric pagination anchor (a.fl). + assert [r.title for r in item.relatedQueries] == [ + "easy apple pie", + "apple pie recipe", + ] + assert ( + item.relatedQueries[0].url == "https://www.google.com/search?q=easy+apple+pie" + ) + + # suggestedResults are the related queries re-shaped with type/position. + assert [(s.position, s.title, s.type) for s in item.suggestedResults] == [ + (1, "easy apple pie", "organic"), + (2, "apple pie recipe", "organic"), + ] + assert item.suggestedResults[0].url == item.relatedQueries[0].url + + assert [p.question for p in item.peopleAlsoAsk] == [ + "What is apple pie?", + "How to bake?", + "Why bake?", + ] + # Snippet-style answer: text + single source link (highlight fragment cut). + snippet = item.peopleAlsoAsk[0] + assert snippet.answer == "A pie with an apple filling." + assert snippet.url == "https://pies.example/apple" + assert snippet.title == "Apple pie - Pies" + # AI-style answer: paragraphs joined, inline source chips stripped. + ai = item.peopleAlsoAsk[1] + assert ai.answer == "Preheat the oven. Bake until golden." + assert ai.url is None and ai.title is None + # Collapsed (never-expanded) question stays question-only. + assert item.peopleAlsoAsk[2].answer is None + + # AI Overview: prose (chips stripped) + bullet, sources deduped by URL. + aio = item.aiOverview + assert aio is not None + assert aio.content == "Apple pie is a classic dessert. Best served warm." + assert len(aio.sources) == 1 + src = aio.sources[0] + assert src.title == "Pie History - Pies.example" + assert src.url == "https://pies.example/history" + assert src.description == "A short history of pie." + assert src.imageUrl == "https://thumbs.example/pie.jpg" + + +def test_parse_serp_empty_page_is_safe(): + item = parse_serp("nothing here") + assert item.resultsTotal is None + assert item.organicResults == [] + assert item.paidResults == [] + assert item.paidProducts == [] + assert item.relatedQueries == [] + assert item.peopleAlsoAsk == [] + assert item.aiOverview is None + + +def test_ai_overview_inside_paa_pair_is_not_page_overview(): + # An expanded PAA question embeds the same widget; it must stay the pair's + # answer, not leak into the page-level aiOverview. + html = """ + + + + """ + item = parse_serp(html) + assert item.aiOverview is None + assert item.peopleAlsoAsk[0].answer == "Pie is dessert." + + +# Mobile lightweight layout (phone UA render): Gx5Zad blocks, /url? redirect +# anchors, pre-loaded PAA accordions, clamped AI Overview. Mirrors a Jul 2026 +# live capture, compacted. +_MOBILE_FIXTURE = """ +
+
+
AI Overview
+
Pie is a baked dish.
+
+
Show more
+
Show less
+
Best served warm. + +
Pie History
+ Learn more +
+
+
+
+ +

Apple Pie Recipe

+
pies.example › apple
+
+
Jun 14, 2026 · + The best apple pie recipe.
+
+
+
People also ask
+
+
What is pie?
+
A pie is a baked dish.
+ +
What is pie - Pies
+
+
+
+
+
People also search for
+
easy pie
+
+
+""" + + +def test_parse_serp_mobile_layout(): + item = parse_serp(_MOBILE_FIXTURE) + + assert len(item.organicResults) == 1 + org = item.organicResults[0] + assert org.title == "Apple Pie Recipe" + assert org.url == "https://pies.example/apple" # redirect unwrapped + assert org.displayedUrl == "pies.example › apple" # noqa: RUF001 - Google's breadcrumb char + assert org.date == "Jun 14, 2026" + assert org.description == "The best apple pie recipe." + assert org.position == 1 + + assert [r.title for r in item.relatedQueries] == ["easy pie"] + assert item.relatedQueries[0].url.startswith("https://www.google.com/search") + assert item.suggestedResults[0].title == "easy pie" + + paa = item.peopleAlsoAsk[0] + assert paa.question == "What is pie?" + assert paa.answer == "A pie is a baked dish." + assert paa.url == "https://pies.example/what" + assert paa.title == "What is pie - Pies" + + aio = item.aiOverview + assert aio is not None + # Prose + expansion joined, Show more/less chrome stripped. + assert aio.content == "Pie is a baked dish. Best served warm. Pie History" + assert [s.url for s in aio.sources] == ["https://pies.example/history"] + assert aio.sources[0].title == "Pie History" + + +# Google AI Mode page (udm=50): the conversational answer streams into the +# [data-subtree='aimc'] container, built from the same blocks as the AI +# Overview (n6owBd paragraphs, Z1qcYe bullets, h7wxwc sources). +_AI_MODE_FIXTURE = """ + +""" + + +def test_parse_ai_mode(): + from app.proprietary.platforms.google_search.parsers import parse_ai_mode + + result = parse_ai_mode( + _AI_MODE_FIXTURE, query="what is quantum computing", url="https://g/x" + ) + assert result is not None + assert result.engine == "AI Mode" and result.provider == "Google" + assert result.query == "what is quantum computing" + assert result.url == "https://g/x" + # Prose + bullets joined, source chips stripped. + assert result.text == "Quantum computing uses qubits. Superposition: both at once." + assert len(result.sources) == 1 + src = result.sources[0] + assert src.title == "What Is Quantum Computing? | IBM" + assert src.url == "https://www.ibm.com/think/topics/quantum-computing" + assert src.description == "Quantum computing, defined." + + # A page without the answer container (e.g. generation failed) is None. + assert parse_ai_mode("", query="q", url="u") is None + + +async def test_ai_mode_flow_emits_item(monkeypatch): + from app.proprietary.platforms.google_search import scraper + + async def fake_fetch(url, *, mobile=False): + # SERP flow gets a plain SERP; the AI Mode flow's udm=50 URL gets + # the AI Mode page. + return _AI_MODE_FIXTURE if "udm=50" in url else _NO_ADS_FIXTURE + + monkeypatch.setattr(scraper, "fetch_serp_html", fake_fetch) + + items = await scraper.scrape_serps( + GoogleSearchScrapeInput( + queries="what is quantum computing", + aiModeSearch={"enableAiMode": True}, + ) + ) + assert len(items) == 2 # SERP item + AI Mode item + ai_item = items[1] + assert ai_item["aiModeResult"]["text"].startswith("Quantum computing") + assert ai_item["aiModeResult"]["query"] == "what is quantum computing" + assert "udm=50" in ai_item["searchQuery"]["url"] + assert ai_item["organicResults"] == [] + + +# An organic-only page (no ad blocks) for the focusOnPaidAds retry test. +_NO_ADS_FIXTURE = """ + +""" + + +async def test_focus_on_paid_ads_retries_until_ads(monkeypatch): + from app.proprietary.platforms.google_search import scraper + + # First two renders have no ads, the third does; focusOnPaidAds should keep + # re-rendering and return the ad-bearing page. + pages = iter([_NO_ADS_FIXTURE, _NO_ADS_FIXTURE, _SERP_FIXTURE]) + calls = 0 + + async def fake_fetch(_url, *, mobile=False): + nonlocal calls + calls += 1 + return next(pages) + + monkeypatch.setattr(scraper, "fetch_serp_html", fake_fetch) + + items = await scraper.scrape_serps( + GoogleSearchScrapeInput(queries="car insurance", focusOnPaidAds=True), limit=1 + ) + assert calls == 3 # retried past the two ad-less renders + assert items[0]["paidResults"], "should return the ad-bearing SERP" + + +async def test_no_focus_takes_first_render(monkeypatch): + from app.proprietary.platforms.google_search import scraper + + calls = 0 + + async def fake_fetch(_url, *, mobile=False): + nonlocal calls + calls += 1 + return _NO_ADS_FIXTURE + + monkeypatch.setattr(scraper, "fetch_serp_html", fake_fetch) + + items = await scraper.scrape_serps( + GoogleSearchScrapeInput(queries="anything"), limit=1 + ) + assert calls == 1 # no retry without focusOnPaidAds + assert items[0]["paidResults"] == [] + assert items[0]["organicResults"] diff --git a/surfsense_backend/tests/unit/platforms/reddit/__init__.py b/surfsense_backend/tests/unit/platforms/reddit/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/platforms/reddit/fixtures/sample_comment.json b/surfsense_backend/tests/unit/platforms/reddit/fixtures/sample_comment.json new file mode 100644 index 000000000..e8d1d60aa --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/reddit/fixtures/sample_comment.json @@ -0,0 +1 @@ +{"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "oprc6qa", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "hannah_G_", "can_mod_post": false, "created_utc": 1780597457.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 4, "author_fullname": "t2_gjk10lou", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "**db-git**\u00a0\\- keep your local database in sync with your git branches.\n\n# What My Project Does\n\n`db-git`\u00a0is a developer tool for projects where database state follows code changes: schema migrations, seed data, experimental feature work, and branch switching during reviews. It installs git\u00a0`post-checkout`\u00a0hook and keeps your local database aligned with the branch you are working on.\n\n* Two workflows:\n * `shared`: one database, saved and restored per branch\n * `per-branch`: one database per branch\n* PostgreSQL support today, with plans for more database backends\n* Two PostgreSQL snapshot strategies:\n * `template`: fast database clones using\u00a0`CREATE DATABASE ... TEMPLATE`\n * `pgdump`: portable snapshots using\u00a0`pg_dump`\u00a0and\u00a0`pg_restore`\n\n# Target Audience\n\nBackend and full-stack developers who run databases locally and switch branches often, especially on projects where migrations or seed data diverge between branches. It's a local development tool.\n\n# Comparison\n\nThe main things that set\u00a0`db-git`\u00a0apart from existing tools are:\n\n1. It lets you choose per project,\u00a0`shared`\u00a0vs\u00a0`per-branch`, and\u00a0`template`\u00a0vs\u00a0`pgdump`.\n2. It ties database state directly to checkout.\n3. It is not tied to a specific database engine. PostgreSQL is the first supported backend, but the design isn't Postgres-specific, and more databases are planned.\n\n`uv tool install db-git`\n\nGitHub:\u00a0[https://github.com/earthcomfy/db-git](https://github.com/earthcomfy/db-git)\n\nAny feedback is very welcome!", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_oprc6qa", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

db-git\u00a0- keep your local database in sync with your git branches.

\n\n

What My Project Does

\n\n

db-git\u00a0is a developer tool for projects where database state follows code changes: schema migrations, seed data, experimental feature work, and branch switching during reviews. It installs git\u00a0post-checkout\u00a0hook and keeps your local database aligned with the branch you are working on.

\n\n
    \n
  • Two workflows:\n\n
      \n
    • shared: one database, saved and restored per branch
    • \n
    • per-branch: one database per branch
    • \n
  • \n
  • PostgreSQL support today, with plans for more database backends
  • \n
  • Two PostgreSQL snapshot strategies:\n\n
      \n
    • template: fast database clones using\u00a0CREATE DATABASE ... TEMPLATE
    • \n
    • pgdump: portable snapshots using\u00a0pg_dump\u00a0and\u00a0pg_restore
    • \n
  • \n
\n\n

Target Audience

\n\n

Backend and full-stack developers who run databases locally and switch branches often, especially on projects where migrations or seed data diverge between branches. It's a local development tool.

\n\n

Comparison

\n\n

The main things that set\u00a0db-git\u00a0apart from existing tools are:

\n\n
    \n
  1. It lets you choose per project,\u00a0shared\u00a0vs\u00a0per-branch, and\u00a0template\u00a0vs\u00a0pgdump.
  2. \n
  3. It ties database state directly to checkout.
  4. \n
  5. It is not tied to a specific database engine. PostgreSQL is the first supported backend, but the design isn't Postgres-specific, and more databases are planned.
  6. \n
\n\n

uv tool install db-git

\n\n

GitHub:\u00a0https://github.com/earthcomfy/db-git

\n\n

Any feedback is very welcome!

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/oprc6qa/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780597457.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 4}} \ No newline at end of file diff --git a/surfsense_backend/tests/unit/platforms/reddit/fixtures/sample_listing.json b/surfsense_backend/tests/unit/platforms/reddit/fixtures/sample_listing.json new file mode 100644 index 000000000..d984552a9 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/reddit/fixtures/sample_listing.json @@ -0,0 +1 @@ +{"kind": "Listing", "data": {"after": "t3_1ugsdwl", "dist": 25, "modhash": "", "geo_filter": null, "children": [{"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "Post all of your code/projects/showcases/AI slop here. \n\nRecycles once a month.", "author_fullname": "t2_6l4z3", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Showcase Thread", "link_flair_richtext": [{"e": "text", "t": "Showcase"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "showcase", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1tws1w7", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.89, "author_flair_background_color": null, "subreddit_type": "public", "ups": 29, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Showcase", "can_mod_post": false, "score": 29, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": true, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1780589106.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Post all of your code/projects/showcases/AI slop here.

\n\n

Recycles once a month.

\n
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Weekly Thread: Resource Request and Sharing \ud83d\udcda

\n\n

Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!

\n\n

How it Works:

\n\n
    \n
  1. Request: Can't find a resource on a particular topic? Ask here!
  2. \n
  3. Share: Found something useful? Share it with the community.
  4. \n
  5. Review: Give or get opinions on Python resources you've used.
  6. \n
\n\n

Guidelines:

\n\n
    \n
  • Please include the type of resource (e.g., book, video, article) and the topic.
  • \n
  • Always be respectful when reviewing someone else's shared resource.
  • \n
\n\n

Example Shares:

\n\n
    \n
  1. Book: "Fluent Python" - Great for understanding Pythonic idioms.
  2. \n
  3. Video: Python Data Structures - Excellent overview of Python's built-in data structures.
  4. \n
  5. Article: Understanding Python Decorators - A deep dive into decorators.
  6. \n
\n\n

Example Requests:

\n\n
    \n
  1. Looking for: Video tutorials on web scraping with Python.
  2. \n
  3. Need: Book recommendations for Python machine learning.
  4. \n
\n\n

Share the knowledge, enrich the community. Happy learning! \ud83c\udf1f

\n
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I have this really messy code scattered in 5 files, it s not that long abt 4000 lines.
\nadding a new feature started feeling like a pain,
\nI hate to deliver this tomorrow, and it s not meant to be scalable.
\nshould i refactor or add the features ?

\n\n

or just add the features and keep the code structure unchanged

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": true, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1umxiti", "is_robot_indexable": true, "report_reasons": null, "author": "Negative_Pay_2940", "discussion_type": null, "num_comments": 19, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1umxiti/refactor_or_dont_touch/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1umxiti/refactor_or_dont_touch/", "subreddit_subscribers": 1493425, "created_utc": 1783133390.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "I wrote [a practical article](https://modernpython.io/serving-a-frontend-with-fastapi-a-practical-guide/) about FastAPI's `app.frontend()` feature.\n\nThe interesting bit is that it serves static frontend build output as low-priority routes, so normal FastAPI API endpoints still win.\n\nThe article covers:\n\n* `app.frontend(\"/\", directory=\"dist\")`\n* SPA fallback with `fallback=\"index.html\"`\n* how it differs from `StaticFiles`\n* serving under a prefix with `APIRouter`\n* a complete mini dashboard example with FastAPI + vanilla JS\n\n", "author_fullname": "t2_2g9w5mkd56", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "FastAPI app.frontend(): serving a frontend build from the same Python app", "link_flair_richtext": [{"e": "text", "t": "News"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "news", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uleil4", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.87, "author_flair_background_color": null, "subreddit_type": "public", "ups": 43, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "News", "can_mod_post": false, "score": 43, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "post_hint": "self", "content_categories": null, "is_self": true, "mod_note": null, "created": 1782988324.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

I wrote a practical article about FastAPI's app.frontend() feature.

\n\n

The interesting bit is that it serves static frontend build output as low-priority routes, so normal FastAPI API endpoints still win.

\n\n

The article covers:

\n\n
    \n
  • app.frontend("/", directory="dist")
  • \n
  • SPA fallback with fallback="index.html"
  • \n
  • how it differs from StaticFiles
  • \n
  • serving under a prefix with APIRouter
  • \n
  • a complete mini dashboard example with FastAPI + vanilla JS
  • \n
\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "preview": {"images": [{"source": {"url": "https://external-preview.redd.it/W-WAtZE5DKslM0Jc7ztGVYI5ALKI9kdfdg2SO7Is-Gk.png?auto=webp&s=da9c531b534cd2ce2779c8005b7153f7f653124e", "width": 1200, "height": 800}, "resolutions": [{"url": "https://external-preview.redd.it/W-WAtZE5DKslM0Jc7ztGVYI5ALKI9kdfdg2SO7Is-Gk.png?width=108&crop=smart&auto=webp&s=8eabae27f78ffb0229c98205ef3c572e76984bf4", "width": 108, "height": 72}, {"url": "https://external-preview.redd.it/W-WAtZE5DKslM0Jc7ztGVYI5ALKI9kdfdg2SO7Is-Gk.png?width=216&crop=smart&auto=webp&s=f9e91bf257102fca1a361ceb8a0787edcffcf92c", "width": 216, "height": 144}, {"url": "https://external-preview.redd.it/W-WAtZE5DKslM0Jc7ztGVYI5ALKI9kdfdg2SO7Is-Gk.png?width=320&crop=smart&auto=webp&s=991b2400e6f7a30ba2840c5a2863a0c6b26c11b4", "width": 320, "height": 213}, {"url": "https://external-preview.redd.it/W-WAtZE5DKslM0Jc7ztGVYI5ALKI9kdfdg2SO7Is-Gk.png?width=640&crop=smart&auto=webp&s=6a2d8086326a1d4535d2dceaaf57c682c3937cc7", "width": 640, "height": 426}, {"url": "https://external-preview.redd.it/W-WAtZE5DKslM0Jc7ztGVYI5ALKI9kdfdg2SO7Is-Gk.png?width=960&crop=smart&auto=webp&s=da8e0ad5c59939e0d9056a5c02da7a9c0e67fae0", "width": 960, "height": 640}, {"url": "https://external-preview.redd.it/W-WAtZE5DKslM0Jc7ztGVYI5ALKI9kdfdg2SO7Is-Gk.png?width=1080&crop=smart&auto=webp&s=cdb6a73a729564d7890372379f04bc7928ca2e28", "width": 1080, "height": 720}], "variants": {}, "id": "W-WAtZE5DKslM0Jc7ztGVYI5ALKI9kdfdg2SO7Is-Gk"}], "enabled": false}, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0ad780a0-1c5e-11ea-978c-0ee7bacb2bff", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#7193ff", "id": "1uleil4", "is_robot_indexable": true, "report_reasons": null, "author": "ModernPython", "discussion_type": null, "num_comments": 13, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uleil4/fastapi_appfrontend_serving_a_frontend_build_from/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uleil4/fastapi_appfrontend_serving_a_frontend_build_from/", "subreddit_subscribers": 1493425, "created_utc": 1782988324.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "# Weekly Thread: Meta Discussions and Free Talk Friday \ud83c\udf99\ufe0f\n\nWelcome to Free Talk Friday on /r/Python! This is the place to discuss the r/Python community (meta discussions), Python news, projects, or anything else Python-related!\n\n## How it Works:\n\n1. **Open Mic**: Share your thoughts, questions, or anything you'd like related to Python or the community.\n2. **Community Pulse**: Discuss what you feel is working well or what could be improved in the /r/python community.\n3. **News & Updates**: Keep up-to-date with the latest in Python and share any news you find interesting.\n\n## Guidelines:\n\n* All topics should be related to Python or the /r/python community.\n* Be respectful and follow Reddit's [Code of Conduct](https://www.redditinc.com/policies/content-policy).\n\n## Example Topics:\n\n1. **New Python Release**: What do you think about the new features in Python 3.11?\n2. **Community Events**: Any Python meetups or webinars coming up?\n3. **Learning Resources**: Found a great Python tutorial? Share it here!\n4. **Job Market**: How has Python impacted your career?\n5. **Hot Takes**: Got a controversial Python opinion? Let's hear it!\n6. **Community Ideas**: Something you'd like to see us do? tell us.\n\nLet's keep the conversation going. Happy discussing! \ud83c\udf1f", "author_fullname": "t2_6l4z3", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Friday Daily Thread: r/Python Meta and Free-Talk Fridays", "link_flair_richtext": [{"a": ":pythonLogo:", "e": "emoji", "u": "https://emoji.redditmedia.com/8yxdpg6xxnr71_t5_2qh0y/pythonLogo"}, {"e": "text", "t": " Daily Thread"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "daily-thread", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1ulyrvh", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.86, "author_flair_background_color": null, "subreddit_type": "public", "ups": 5, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": ":pythonLogo: Daily Thread", "can_mod_post": false, "score": 5, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": true, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1783036824.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Weekly Thread: Meta Discussions and Free Talk Friday \ud83c\udf99\ufe0f

\n\n

Welcome to Free Talk Friday on /r/Python! This is the place to discuss the r/Python community (meta discussions), Python news, projects, or anything else Python-related!

\n\n

How it Works:

\n\n
    \n
  1. Open Mic: Share your thoughts, questions, or anything you'd like related to Python or the community.
  2. \n
  3. Community Pulse: Discuss what you feel is working well or what could be improved in the /r/python community.
  4. \n
  5. News & Updates: Keep up-to-date with the latest in Python and share any news you find interesting.
  6. \n
\n\n

Guidelines:

\n\n
    \n
  • All topics should be related to Python or the /r/python community.
  • \n
  • Be respectful and follow Reddit's Code of Conduct.
  • \n
\n\n

Example Topics:

\n\n
    \n
  1. New Python Release: What do you think about the new features in Python 3.11?
  2. \n
  3. Community Events: Any Python meetups or webinars coming up?
  4. \n
  5. Learning Resources: Found a great Python tutorial? Share it here!
  6. \n
  7. Job Market: How has Python impacted your career?
  8. \n
  9. Hot Takes: Got a controversial Python opinion? Let's hear it!
  10. \n
  11. Community Ideas: Something you'd like to see us do? tell us.
  12. \n
\n\n

Let's keep the conversation going. Happy discussing! \ud83c\udf1f

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "6c024934-de3f-11ea-a05a-0ea86b2be9a1", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#00a6a5", "id": "1ulyrvh", "is_robot_indexable": true, "report_reasons": null, "author": "AutoModerator", "discussion_type": null, "num_comments": 2, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1ulyrvh/friday_daily_thread_rpython_meta_and_freetalk/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1ulyrvh/friday_daily_thread_rpython_meta_and_freetalk/", "subreddit_subscribers": 1493425, "created_utc": 1783036824.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "Running Celery on AWS ECS can be trickier than it seems if you want to avoid lost tasks and ensure all work is completed. Especially if you're frequently deploying to production and using autoscaling.\n\nThere are two main components for reliable processing:\n- Celery configuration updates\n- Structuring tasks\n\nFor Celery, you should update the following settings:\n- task_acks_late -> True: To treat tasks as successfully processed only after processing. Otherwise, tasks are not retried.\n- task_reject_on_worker_lost -> True: To ensure tasks are retried if workers die for any reason (e.g., warm shutdown + SIGKILL).\n- worker_prefetch_multiplier -> 1: To avoid unnecessarily delayed tasks.\n- broker_connection_retry_on_startup -> True: To make startups more reliable.\n- broker_transport_options -> {\"confirm_publish\": True}: To avoid unsubmitted tasks due to message transport issues.\n- Make sure exponential retries are enabled. This way, you ensure that tasks are retried in the event of an interruption.\n\nFor structuring tasks, use the following two approaches:\n- Batching: Instead of doing all the work at once, you split the work into batches. e.g., Process 1000 users, then submit the next job to process the next 1000 users.\n- Fan out: You can split the work between a \"scheduler\" task and \"execution\" tasks. e.g., One task to list all the users and submit email sending tasks, another task to actually send an email for the selected user\n\nThe same applies to other similar services, such as Heroku and Azure App Containers, which use short grace periods during rolling deployments and downscaling.\n\nYou can read a more elaborate tutorial here: https://jangiacomelli.com/blog/celery-on-aws-ecs/\n", "author_fullname": "t2_5uvfj9zf", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Celery on AWS ECS - prevent lost tasks and ensure the work is always done", "link_flair_richtext": [{"e": "text", "t": "Tutorial"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "tutorial", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uleyez", "quarantine": false, "link_flair_text_color": "dark", "upvote_ratio": 0.82, "author_flair_background_color": null, "subreddit_type": "public", "ups": 31, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Tutorial", "can_mod_post": false, "score": 31, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "post_hint": "self", "content_categories": null, "is_self": true, "mod_note": null, "created": 1782989774.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Running Celery on AWS ECS can be trickier than it seems if you want to avoid lost tasks and ensure all work is completed. Especially if you're frequently deploying to production and using autoscaling.

\n\n

There are two main components for reliable processing:\n- Celery configuration updates\n- Structuring tasks

\n\n

For Celery, you should update the following settings:\n- task_acks_late -> True: To treat tasks as successfully processed only after processing. Otherwise, tasks are not retried.\n- task_reject_on_worker_lost -> True: To ensure tasks are retried if workers die for any reason (e.g., warm shutdown + SIGKILL).\n- worker_prefetch_multiplier -> 1: To avoid unnecessarily delayed tasks.\n- broker_connection_retry_on_startup -> True: To make startups more reliable.\n- broker_transport_options -> {"confirm_publish": True}: To avoid unsubmitted tasks due to message transport issues.\n- Make sure exponential retries are enabled. This way, you ensure that tasks are retried in the event of an interruption.

\n\n

For structuring tasks, use the following two approaches:\n- Batching: Instead of doing all the work at once, you split the work into batches. e.g., Process 1000 users, then submit the next job to process the next 1000 users.\n- Fan out: You can split the work between a "scheduler" task and "execution" tasks. e.g., One task to list all the users and submit email sending tasks, another task to actually send an email for the selected user

\n\n

The same applies to other similar services, such as Heroku and Azure App Containers, which use short grace periods during rolling deployments and downscaling.

\n\n

You can read a more elaborate tutorial here: https://jangiacomelli.com/blog/celery-on-aws-ecs/

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "preview": {"images": [{"source": {"url": "https://external-preview.redd.it/mw6L6MkeGzNGpfloYiy2lOpj4iblwUcNtBT7-YQogdc.png?auto=webp&s=4476a039806bd30ea3113713247eeb17736e2a04", "width": 1200, "height": 630}, "resolutions": [{"url": "https://external-preview.redd.it/mw6L6MkeGzNGpfloYiy2lOpj4iblwUcNtBT7-YQogdc.png?width=108&crop=smart&auto=webp&s=e004a2cd64b3e00a25e30cf9334f09216b2013ca", "width": 108, "height": 56}, {"url": "https://external-preview.redd.it/mw6L6MkeGzNGpfloYiy2lOpj4iblwUcNtBT7-YQogdc.png?width=216&crop=smart&auto=webp&s=f8b05628d10153dae539aa93e3d9672de283ce16", "width": 216, "height": 113}, {"url": "https://external-preview.redd.it/mw6L6MkeGzNGpfloYiy2lOpj4iblwUcNtBT7-YQogdc.png?width=320&crop=smart&auto=webp&s=008f5cc3e3a7b2997f9efce55cdfd4f4b761911a", "width": 320, "height": 168}, {"url": "https://external-preview.redd.it/mw6L6MkeGzNGpfloYiy2lOpj4iblwUcNtBT7-YQogdc.png?width=640&crop=smart&auto=webp&s=16910f1218cbb38fa5649ceec04feb8624bca35e", "width": 640, "height": 336}, {"url": "https://external-preview.redd.it/mw6L6MkeGzNGpfloYiy2lOpj4iblwUcNtBT7-YQogdc.png?width=960&crop=smart&auto=webp&s=5dac9bf645784e560b4aefd42968c8377f26656f", "width": 960, "height": 504}, {"url": "https://external-preview.redd.it/mw6L6MkeGzNGpfloYiy2lOpj4iblwUcNtBT7-YQogdc.png?width=1080&crop=smart&auto=webp&s=904e0e68111e9dafe766adb0b7d95fc53e94668b", "width": 1080, "height": 567}], "variants": {}, "id": "mw6L6MkeGzNGpfloYiy2lOpj4iblwUcNtBT7-YQogdc"}], "enabled": false}, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "7987a74c-04d8-11eb-84ca-0e0ac8b5a78f", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#dadada", "id": "1uleyez", "is_robot_indexable": true, "report_reasons": null, "author": "JanGiacomelli", "discussion_type": null, "num_comments": 13, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uleyez/celery_on_aws_ecs_prevent_lost_tasks_and_ensure/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uleyez/celery_on_aws_ecs_prevent_lost_tasks_and_ensure/", "subreddit_subscribers": 1493425, "created_utc": 1782989774.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "# Weekly Thread: Professional Use, Jobs, and Education \ud83c\udfe2\n\nWelcome to this week's discussion on Python in the professional world! This is your spot to talk about job hunting, career growth, and educational resources in Python. Please note, this thread is **not for recruitment**.\n\n---\n\n## How it Works:\n\n1. **Career Talk**: Discuss using Python in your job, or the job market for Python roles.\n2. **Education Q&A**: Ask or answer questions about Python courses, certifications, and educational resources.\n3. **Workplace Chat**: Share your experiences, challenges, or success stories about using Python professionally.\n\n---\n\n## Guidelines:\n\n- This thread is **not for recruitment**. For job postings, please see r/PythonJobs or the recruitment thread in the sidebar.\n- Keep discussions relevant to Python in the professional and educational context.\n \n---\n\n## Example Topics:\n\n1. **Career Paths**: What kinds of roles are out there for Python developers?\n2. **Certifications**: Are Python certifications worth it?\n3. **Course Recommendations**: Any good advanced Python courses to recommend?\n4. **Workplace Tools**: What Python libraries are indispensable in your professional work?\n5. **Interview Tips**: What types of Python questions are commonly asked in interviews?\n\n---\n\nLet's help each other grow in our careers and education. Happy discussing! \ud83c\udf1f", "author_fullname": "t2_6l4z3", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Thursday Daily Thread: Python Careers, Courses, and Furthering Education!", "link_flair_richtext": [{"a": ":pythonLogo:", "e": "emoji", "u": "https://emoji.redditmedia.com/8yxdpg6xxnr71_t5_2qh0y/pythonLogo"}, {"e": "text", "t": " Daily Thread"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "daily-thread", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1ul2dky", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.73, "author_flair_background_color": null, "subreddit_type": "public", "ups": 8, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": ":pythonLogo: Daily Thread", "can_mod_post": false, "score": 8, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": true, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782950428.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Weekly Thread: Professional Use, Jobs, and Education \ud83c\udfe2

\n\n

Welcome to this week's discussion on Python in the professional world! This is your spot to talk about job hunting, career growth, and educational resources in Python. Please note, this thread is not for recruitment.

\n\n
\n\n

How it Works:

\n\n
    \n
  1. Career Talk: Discuss using Python in your job, or the job market for Python roles.
  2. \n
  3. Education Q&A: Ask or answer questions about Python courses, certifications, and educational resources.
  4. \n
  5. Workplace Chat: Share your experiences, challenges, or success stories about using Python professionally.
  6. \n
\n\n
\n\n

Guidelines:

\n\n
    \n
  • This thread is not for recruitment. For job postings, please see r/PythonJobs or the recruitment thread in the sidebar.
  • \n
  • Keep discussions relevant to Python in the professional and educational context.
  • \n
\n\n
\n\n

Example Topics:

\n\n
    \n
  1. Career Paths: What kinds of roles are out there for Python developers?
  2. \n
  3. Certifications: Are Python certifications worth it?
  4. \n
  5. Course Recommendations: Any good advanced Python courses to recommend?
  6. \n
  7. Workplace Tools: What Python libraries are indispensable in your professional work?
  8. \n
  9. Interview Tips: What types of Python questions are commonly asked in interviews?
  10. \n
\n\n
\n\n

Let's help each other grow in our careers and education. Happy discussing! \ud83c\udf1f

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "6c024934-de3f-11ea-a05a-0ea86b2be9a1", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": "moderator", "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#00a6a5", "id": "1ul2dky", "is_robot_indexable": true, "report_reasons": null, "author": "AutoModerator", "discussion_type": null, "num_comments": 2, "send_replies": false, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1ul2dky/thursday_daily_thread_python_careers_courses_and/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1ul2dky/thursday_daily_thread_python_careers_courses_and/", "subreddit_subscribers": 1493425, "created_utc": 1782950428.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "A tip that's saved us a lot of boilerplate across our Python stack (Litestar, and our document-extraction tooling): stop decoding JSON into `dict[str, Any]` and casting/`.get()`-ing your way through it. Decode straight into your declared type.\n\n`msgspec` validates and decodes directly into your type at C speed. Quick comparison of the usual options on the same payload:\n\n- `json.loads` / `orjson.loads` -> `dict[str, Any]` (cast and pray; orjson just faster)\n- `pydantic` TypeAdapter(...).validate_json -> your model, validated + rich, but heavier\n- `msgspec.json.decode(raw, type=T)` -> your type, validated, C-fast\n\npydantic does far more and its Rust core is fast; for model-heavy code it's still my default. But on hot paths where you just need decode-into-a-struct, a C decoder going straight to the type is hard to beat.\n\nWith PEP 695 generics the whole (de)serialization layer collapses to one function:\n\n```python\ndef deserialize[T](raw: bytes, t: type[T]) -> T:\n return msgspec.json.decode(raw, type=t, strict=False)\n\ndeserialize(raw, Grant) # -> Grant\ndeserialize(raw, list[Grant]) # -> list[Grant]\n```\n\nWe landed on this while building Litestar (msgspec is a big reason it's fast) and reuse it across everything now. How do you handle hot-path decoding \u2014 msgspec, orjson + manual validation, or full pydantic?", "author_fullname": "t2_9t15mit", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Tip: use msgspec for JSON decoding \u2014 it decodes straight into your type at C speed", "link_flair_richtext": [{"e": "text", "t": "Discussion"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "discussion", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1ukh3q5", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.87, "author_flair_background_color": "transparent", "subreddit_type": "public", "ups": 106, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": "67d01c9c-537b-11ee-b0d0-7225f76af176", "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Discussion", "can_mod_post": false, "score": 106, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [{"e": "text", "t": "Pythonista"}], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782899155.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "richtext", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

A tip that's saved us a lot of boilerplate across our Python stack (Litestar, and our document-extraction tooling): stop decoding JSON into dict[str, Any] and casting/.get()-ing your way through it. Decode straight into your declared type.

\n\n

msgspec validates and decodes directly into your type at C speed. Quick comparison of the usual options on the same payload:

\n\n
    \n
  • json.loads / orjson.loads -> dict[str, Any] (cast and pray; orjson just faster)
  • \n
  • pydantic TypeAdapter(...).validate_json -> your model, validated + rich, but heavier
  • \n
  • msgspec.json.decode(raw, type=T) -> your type, validated, C-fast
  • \n
\n\n

pydantic does far more and its Rust core is fast; for model-heavy code it's still my default. But on hot paths where you just need decode-into-a-struct, a C decoder going straight to the type is hard to beat.

\n\n

With PEP 695 generics the whole (de)serialization layer collapses to one function:

\n\n

```python\ndef deserialize[T](raw: bytes, t: type[T]) -> T:\n return msgspec.json.decode(raw, type=t, strict=False)

\n\n

deserialize(raw, Grant) # -> Grant\ndeserialize(raw, list[Grant]) # -> list[Grant]\n```

\n\n

We landed on this while building Litestar (msgspec is a big reason it's fast) and reuse it across everything now. How do you handle hot-path decoding \u2014 msgspec, orjson + manual validation, or full pydantic?

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": "Pythonista", "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1ukh3q5", "is_robot_indexable": true, "report_reasons": null, "author": "Goldziher", "discussion_type": null, "num_comments": 26, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": "dark", "permalink": "/r/Python/comments/1ukh3q5/tip_use_msgspec_for_json_decoding_it_decodes/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1ukh3q5/tip_use_msgspec_for_json_decoding_it_decodes/", "subreddit_subscribers": 1493425, "created_utc": 1782899155.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "I\u2019ve been using the Pythonista IDE by Ole Zorn for over 10 years and I\u2019m just amazed at how consistently good it is. It doesn\u2019t have the latest greatest features but I still use it almost daily. Works with IOS Shortcuts as well. This would be a good one to add to the Wiki.", "author_fullname": "t2_q6jo6", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Pythonista IDE for IOS should be added to the Wiki", "link_flair_richtext": [{"e": "text", "t": "Discussion"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "discussion", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1ul4j9h", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.65, "author_flair_background_color": null, "subreddit_type": "public", "ups": 5, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Discussion", "can_mod_post": false, "score": 5, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782956290.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

I\u2019ve been using the Pythonista IDE by Ole Zorn for over 10 years and I\u2019m just amazed at how consistently good it is. It doesn\u2019t have the latest greatest features but I still use it almost daily. Works with IOS Shortcuts as well. This would be a good one to add to the Wiki.

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1ul4j9h", "is_robot_indexable": true, "report_reasons": null, "author": "TutorialDoctor", "discussion_type": null, "num_comments": 8, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1ul4j9h/pythonista_ide_for_ios_should_be_added_to_the_wiki/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1ul4j9h/pythonista_ide_for_ios_should_be_added_to_the_wiki/", "subreddit_subscribers": 1493425, "created_utc": 1782956290.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "**The clustering problem with correlated signals**\n\nMy system scores ~40 macro signals (Fed funds rate, yield curve, M2, insider buying, short interest, etc.) and generates a composite \"confluence score\" for a given ticker. The naive approach is to just average the signals. Problem: many signals are correlated \u2014 yield curve and credit spreads move together, insider buying and short interest are often inversely related. Averaging them inflates apparent confidence.\n\nFix I landed on: pairwise Pearson correlation matrix using pandas + numpy on 3 years of weekly signal history. Then `scipy.cluster.hierarchy.linkage` with single-linkage at a 0.6 threshold groups correlated signals into clusters. Each cluster gets one vote, weighted by the cluster member with the best out-of-sample Sharpe ratio on that ticker's 60-day forward returns.\n\n**Streamlit caching gotchas**\n\n`@st.cache_data` is great but has a subtle memory issue: it keeps ALL cached versions until max_entries is hit. For a function that fetches 40 signals with 5 time-period variations, you can end up caching 200+ DataFrames. Added `max_entries=1` to the main signals cache \u2014 memory dropped from ~1.1GB to ~200MB under concurrent load.\n\nAlso: calling `ThreadPoolExecutor` inside a cached function is fine for pure data fetching. But if the cached function spawns threads that themselves call other cached functions, you can hit Streamlit's session state lock. Solution: only parallelize at the outermost uncached layer.\n\n**SEC EDGAR Form 4 XML parsing**\n\nEDGAR serves Form 4 filings as XML, but namespace handling is inconsistent across filings. Some have explicit xmlns declarations, some don't. I strip namespaces with a regex before parsing:\n\n xml_str = re.sub(r'\\s*xmlns[^\"]*\"[^\"]*\"', '', raw_xml)\n tree = ET.fromstring(xml_str)\n\nFor insider cluster detection (flagging when 2+ insiders buy within 21 days), I group by issuer CIK, filter for `transactionCode == 'P'` (open-market purchase), then use a rolling window on sorted transaction dates.\n\n**SQLAlchemy Core schema**\n\nUsing SQLAlchemy Core (not ORM) for the main tables: users, signal_snapshots, watchlist_items, alerts. One thing I'm glad I did: a single DATABASE_URL env var that switches between Postgres (prod) and SQLite (local dev). Same schema DDL works for both \u2014 keeps the local dev loop fast.\n\nHappy to answer questions on any of the above.", "author_fullname": "t2_d021y6fm", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Learned a lot building a macro signal scoring system in Python - sharing architecture decisions", "link_flair_richtext": [{"e": "text", "t": "Discussion"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "discussion", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1ul7qiv", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.56, "author_flair_background_color": null, "subreddit_type": "public", "ups": 1, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Discussion", "can_mod_post": false, "score": 1, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782965413.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

The clustering problem with correlated signals

\n\n

My system scores ~40 macro signals (Fed funds rate, yield curve, M2, insider buying, short interest, etc.) and generates a composite "confluence score" for a given ticker. The naive approach is to just average the signals. Problem: many signals are correlated \u2014 yield curve and credit spreads move together, insider buying and short interest are often inversely related. Averaging them inflates apparent confidence.

\n\n

Fix I landed on: pairwise Pearson correlation matrix using pandas + numpy on 3 years of weekly signal history. Then scipy.cluster.hierarchy.linkage with single-linkage at a 0.6 threshold groups correlated signals into clusters. Each cluster gets one vote, weighted by the cluster member with the best out-of-sample Sharpe ratio on that ticker's 60-day forward returns.

\n\n

Streamlit caching gotchas

\n\n

@st.cache_data is great but has a subtle memory issue: it keeps ALL cached versions until max_entries is hit. For a function that fetches 40 signals with 5 time-period variations, you can end up caching 200+ DataFrames. Added max_entries=1 to the main signals cache \u2014 memory dropped from ~1.1GB to ~200MB under concurrent load.

\n\n

Also: calling ThreadPoolExecutor inside a cached function is fine for pure data fetching. But if the cached function spawns threads that themselves call other cached functions, you can hit Streamlit's session state lock. Solution: only parallelize at the outermost uncached layer.

\n\n

SEC EDGAR Form 4 XML parsing

\n\n

EDGAR serves Form 4 filings as XML, but namespace handling is inconsistent across filings. Some have explicit xmlns declarations, some don't. I strip namespaces with a regex before parsing:

\n\n
xml_str = re.sub(r'\\s*xmlns[^"]*"[^"]*"', '', raw_xml)\ntree = ET.fromstring(xml_str)\n
\n\n

For insider cluster detection (flagging when 2+ insiders buy within 21 days), I group by issuer CIK, filter for transactionCode == 'P' (open-market purchase), then use a rolling window on sorted transaction dates.

\n\n

SQLAlchemy Core schema

\n\n

Using SQLAlchemy Core (not ORM) for the main tables: users, signal_snapshots, watchlist_items, alerts. One thing I'm glad I did: a single DATABASE_URL env var that switches between Postgres (prod) and SQLite (local dev). Same schema DDL works for both \u2014 keeps the local dev loop fast.

\n\n

Happy to answer questions on any of the above.

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": true, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1ul7qiv", "is_robot_indexable": true, "report_reasons": null, "author": "Historical_Ad9654", "discussion_type": null, "num_comments": 2, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1ul7qiv/learned_a_lot_building_a_macro_signal_scoring/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1ul7qiv/learned_a_lot_building_a_macro_signal_scoring/", "subreddit_subscribers": 1493425, "created_utc": 1782965413.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "I saw one yesterday during an interview and it really confused me at first since the feature has been deprecated for so long.\n\n \nAre there still code bases out there running Python 2? I used Python 3.8 at my last job and that made me feel like a dinosaur. ", "author_fullname": "t2_1q305nm7", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "When's the last time you saw Python 2 Super() syntax?", "link_flair_richtext": [{"e": "text", "t": "Discussion"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "discussion", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uk3ym6", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.87, "author_flair_background_color": null, "subreddit_type": "public", "ups": 103, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Discussion", "can_mod_post": false, "score": 103, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782859080.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

I saw one yesterday during an interview and it really confused me at first since the feature has been deprecated for so long.

\n\n

Are there still code bases out there running Python 2? I used Python 3.8 at my last job and that made me feel like a dinosaur.

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1uk3ym6", "is_robot_indexable": true, "report_reasons": null, "author": "GongtingLover", "discussion_type": null, "num_comments": 86, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uk3ym6/whens_the_last_time_you_saw_python_2_super_syntax/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uk3ym6/whens_the_last_time_you_saw_python_2_super_syntax/", "subreddit_subscribers": 1493425, "created_utc": 1782859080.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "The\u00a0Triple Product Property *(*TPP) algorithm is an obscure matmul algorithm that uses group theory (instead of linear algebra) to find matrix products.\n\nOne may summarize it as a fast fourier transform for multiplying matrices. The algorithm was published by Microsoft and Caltech researchers in 2003 but the original paper's math-heavy. I coded the paper in Python to make matrix multiplication research accessible to everyone.\n\nGitHub: [https://github.com/MurageKibicho/The-Annotated-Triple-Product-Property-Matrix-Multiplication-Algorithm/tree/main](https://github.com/MurageKibicho/The-Annotated-Triple-Product-Property-Matrix-Multiplication-Algorithm/tree/main)\n\nWritten Guide: [https://leetarxiv.substack.com/p/triple-product-property-matrix-multiplication](https://leetarxiv.substack.com/p/triple-product-property-matrix-multiplication)\n\n", "author_fullname": "t2_3xvmpjwh9", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Annotated Triple Product Property Matrix Multiplication Algorithm In Python", "link_flair_richtext": [{"e": "text", "t": "Tutorial"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "tutorial", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uknaq3", "quarantine": false, "link_flair_text_color": "dark", "upvote_ratio": 0.67, "author_flair_background_color": null, "subreddit_type": "public", "ups": 1, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Tutorial", "can_mod_post": false, "score": 1, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782916193.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

The\u00a0Triple Product Property (TPP) algorithm is an obscure matmul algorithm that uses group theory (instead of linear algebra) to find matrix products.

\n\n

One may summarize it as a fast fourier transform for multiplying matrices. The algorithm was published by Microsoft and Caltech researchers in 2003 but the original paper's math-heavy. I coded the paper in Python to make matrix multiplication research accessible to everyone.

\n\n

GitHub: https://github.com/MurageKibicho/The-Annotated-Triple-Product-Property-Matrix-Multiplication-Algorithm/tree/main

\n\n

Written Guide: https://leetarxiv.substack.com/p/triple-product-property-matrix-multiplication

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": true, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "7987a74c-04d8-11eb-84ca-0e0ac8b5a78f", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#dadada", "id": "1uknaq3", "is_robot_indexable": true, "report_reasons": null, "author": "DataBaeBee", "discussion_type": null, "num_comments": 0, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uknaq3/annotated_triple_product_property_matrix/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uknaq3/annotated_triple_product_property_matrix/", "subreddit_subscribers": 1493425, "created_utc": 1782916193.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "I've been experimenting with AI agents and autocomplete platforms for a greenfield FastAPI project. In the first few weeks, it felt incredibly fast. But now that we've scaled to multiple routers, complex Pydantic schemas, and SQLAlchemy models, the structural debt is piling up.\n\nThe AI writes code that functions, but it constantly violates our architecture. It'll put complex business logic inside a route handler instead of the service layer, or it'll mess up async database sessions across modules. I find myself spending more time refactoring the structure of what it built than it would have taken to write the logic myself.\n\nIs anyone else hitting this scaling wall where AI utility drops off as codebase complexity grows? How are you keeping your system architecture clean?", "author_fullname": "t2_4xeh5jtc", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Mitigating \"architectural drift\" in large Python backend codebases using AI tools", "link_flair_richtext": [{"e": "text", "t": "Discussion"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "discussion", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1ujy1a2", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.73, "author_flair_background_color": null, "subreddit_type": "public", "ups": 32, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Discussion", "can_mod_post": false, "score": 32, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782845636.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

I've been experimenting with AI agents and autocomplete platforms for a greenfield FastAPI project. In the first few weeks, it felt incredibly fast. But now that we've scaled to multiple routers, complex Pydantic schemas, and SQLAlchemy models, the structural debt is piling up.

\n\n

The AI writes code that functions, but it constantly violates our architecture. It'll put complex business logic inside a route handler instead of the service layer, or it'll mess up async database sessions across modules. I find myself spending more time refactoring the structure of what it built than it would have taken to write the logic myself.

\n\n

Is anyone else hitting this scaling wall where AI utility drops off as codebase complexity grows? How are you keeping your system architecture clean?

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1ujy1a2", "is_robot_indexable": true, "report_reasons": null, "author": "CrazyGeek7", "discussion_type": null, "num_comments": 42, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1ujy1a2/mitigating_architectural_drift_in_large_python/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1ujy1a2/mitigating_architectural_drift_in_large_python/", "subreddit_subscribers": 1493425, "created_utc": 1782845636.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "Please read this and contribute your opinions so that this becomes basic foundation for spring devs who adapt to python .\n\nhttps://bunny-learner.github.io/Python-Handbook-for-Spring-Devs/", "author_fullname": "t2_1gpwvz9l5s", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Python handbook for spring devs", "link_flair_richtext": [{"e": "text", "t": "Resource"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "resource", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1ukn0wi", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.25, "author_flair_background_color": null, "subreddit_type": "public", "ups": 0, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Resource", "can_mod_post": false, "score": 0, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782915570.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Please read this and contribute your opinions so that this becomes basic foundation for spring devs who adapt to python .

\n\n

https://bunny-learner.github.io/Python-Handbook-for-Spring-Devs/

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": true, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "f9716fb2-4113-11ea-a3f1-0ef51f60f757", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#ddbd37", "id": "1ukn0wi", "is_robot_indexable": true, "report_reasons": null, "author": "External-Wait-2583", "discussion_type": null, "num_comments": 2, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1ukn0wi/python_handbook_for_spring_devs/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1ukn0wi/python_handbook_for_spring_devs/", "subreddit_subscribers": 1493425, "created_utc": 1782915570.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "I just spent three hours trying to get a basic python cron script to send out a weekly web scraping summary. used to just use `smtplib` and a random gmail app password but google basically killed that workflow \n \nTried installing the official python sdk for one of the big email providers and it pulled in like 6 different async dependencies just to send a plain text string. It is genuinely insane how bloated the modern python ecosystem has gotten for the most basic tasks \n \nI ended up just writing a simple `requests.post()` webhook over to yaplet to handle the actual subscriber list and formatting because I absolutely refuse to fight with another bloated `__init__.py` or dns auth protocol this month \n \nsometimes it really feels like we spend 10% of our time writing actual python logic and 90% fighting with enterprise api wrappers tbh", "author_fullname": "t2_81nfn6e5d", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Why is sending an automated email with python still a nightmare in 2026", "link_flair_richtext": [{"e": "text", "t": "Discussion"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "discussion", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1ukljb6", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.25, "author_flair_background_color": null, "subreddit_type": "public", "ups": 0, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Discussion", "can_mod_post": false, "score": 0, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782912026.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

I just spent three hours trying to get a basic python cron script to send out a weekly web scraping summary. used to just use smtplib and a random gmail app password but google basically killed that workflow

\n\n

Tried installing the official python sdk for one of the big email providers and it pulled in like 6 different async dependencies just to send a plain text string. It is genuinely insane how bloated the modern python ecosystem has gotten for the most basic tasks

\n\n

I ended up just writing a simple requests.post() webhook over to yaplet to handle the actual subscriber list and formatting because I absolutely refuse to fight with another bloated __init__.py or dns auth protocol this month

\n\n

sometimes it really feels like we spend 10% of our time writing actual python logic and 90% fighting with enterprise api wrappers tbh

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": true, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1ukljb6", "is_robot_indexable": true, "report_reasons": null, "author": "Crystallover1991", "discussion_type": null, "num_comments": 20, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1ukljb6/why_is_sending_an_automated_email_with_python/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1ukljb6/why_is_sending_an_automated_email_with_python/", "subreddit_subscribers": 1493425, "created_utc": 1782912026.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "This is the first part of a multi-part series exploring why `async/await` might not be the best concurrency pattern for most use cases, and what alternative models you should consider instead. Using Python for our practical examples, this opening post digs into the roots of `async/await`, guiding you through building a custom event loop from scratch using generators.\n\n[https://theblog.info/posts/asyncawait-is-a-plague-part-1-roots](https://theblog.info/posts/asyncawait-is-a-plague-part-1-roots)\n\n\n**Note:** This is Part 1 of a multi-part series. Instead of diving straight into why `async/await` can be problematic, this post explores the original motivations behind the pattern. Understanding how it works under the hood will provide the essential context for the issues we'll discuss in upcoming parts.", "author_fullname": "t2_rkfihkkzk", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Async/Await is a Plague: Part 1 Roots", "link_flair_richtext": [{"e": "text", "t": "Discussion"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "discussion", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uisy46", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.7, "author_flair_background_color": null, "subreddit_type": "public", "ups": 73, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Discussion", "can_mod_post": false, "score": 73, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": 1782753438.0, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "post_hint": "self", "content_categories": null, "is_self": true, "mod_note": null, "created": 1782740712.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

This is the first part of a multi-part series exploring why async/await might not be the best concurrency pattern for most use cases, and what alternative models you should consider instead. Using Python for our practical examples, this opening post digs into the roots of async/await, guiding you through building a custom event loop from scratch using generators.

\n\n

https://theblog.info/posts/asyncawait-is-a-plague-part-1-roots

\n\n

Note: This is Part 1 of a multi-part series. Instead of diving straight into why async/await can be problematic, this post explores the original motivations behind the pattern. Understanding how it works under the hood will provide the essential context for the issues we'll discuss in upcoming parts.

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "preview": {"images": [{"source": {"url": "https://external-preview.redd.it/o5iToZglarhA_St0cCPapqc_aoL8yr3wvMq-nTIXbBY.jpeg?auto=webp&s=8c085a9706bd5c46bf2669a92aec2fe9a968b931", "width": 640, "height": 640}, "resolutions": [{"url": "https://external-preview.redd.it/o5iToZglarhA_St0cCPapqc_aoL8yr3wvMq-nTIXbBY.jpeg?width=108&crop=smart&auto=webp&s=2ee3e5583e9679af89b4127ff8ef801ad96d7c21", "width": 108, "height": 108}, {"url": "https://external-preview.redd.it/o5iToZglarhA_St0cCPapqc_aoL8yr3wvMq-nTIXbBY.jpeg?width=216&crop=smart&auto=webp&s=6855cb906f7b5e61cd39e971a6813b92089c9ddc", "width": 216, "height": 216}, {"url": "https://external-preview.redd.it/o5iToZglarhA_St0cCPapqc_aoL8yr3wvMq-nTIXbBY.jpeg?width=320&crop=smart&auto=webp&s=6cc8885184c29b6a2bf5b3cda04f8e48f141681b", "width": 320, "height": 320}, {"url": "https://external-preview.redd.it/o5iToZglarhA_St0cCPapqc_aoL8yr3wvMq-nTIXbBY.jpeg?width=640&crop=smart&auto=webp&s=ed1a0969eb982fc4f33d3b725973b3d4a9165394", "width": 640, "height": 640}], "variants": {}, "id": "o5iToZglarhA_St0cCPapqc_aoL8yr3wvMq-nTIXbBY"}], "enabled": false}, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1uisy46", "is_robot_indexable": true, "report_reasons": null, "author": "EntryNo8040", "discussion_type": null, "num_comments": 71, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uisy46/asyncawait_is_a_plague_part_1_roots/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uisy46/asyncawait_is_a_plague_part_1_roots/", "subreddit_subscribers": 1493425, "created_utc": 1782740712.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "# Weekly Wednesday Thread: Advanced Questions \ud83d\udc0d\n\nDive deep into Python with our Advanced Questions thread! This space is reserved for questions about more advanced Python topics, frameworks, and best practices.\n\n## How it Works:\n\n1. **Ask Away**: Post your advanced Python questions here.\n2. **Expert Insights**: Get answers from experienced developers.\n3. **Resource Pool**: Share or discover tutorials, articles, and tips.\n\n## Guidelines:\n\n* This thread is for **advanced questions only**. Beginner questions are welcome in our [Daily Beginner Thread](#daily-beginner-thread-link) every Thursday.\n* Questions that are not advanced may be removed and redirected to the appropriate thread.\n\n## Recommended Resources:\n\n* If you don't receive a response, consider exploring r/LearnPython or join the [Python Discord Server](https://discord.gg/python) for quicker assistance.\n\n## Example Questions:\n\n1. **How can you implement a custom memory allocator in Python?**\n2. **What are the best practices for optimizing Cython code for heavy numerical computations?**\n3. **How do you set up a multi-threaded architecture using Python's Global Interpreter Lock (GIL)?**\n4. **Can you explain the intricacies of metaclasses and how they influence object-oriented design in Python?**\n5. **How would you go about implementing a distributed task queue using Celery and RabbitMQ?**\n6. **What are some advanced use-cases for Python's decorators?**\n7. **How can you achieve real-time data streaming in Python with WebSockets?**\n8. **What are the performance implications of using native Python data structures vs NumPy arrays for large-scale data?**\n9. **Best practices for securing a Flask (or similar) REST API with OAuth 2.0?**\n10. **What are the best practices for using Python in a microservices architecture? (..and more generally, should I even use microservices?)**\n\nLet's deepen our Python knowledge together. Happy coding! \ud83c\udf1f", "author_fullname": "t2_6l4z3", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Tuesday Daily Thread: Advanced questions", "link_flair_richtext": [{"a": ":pythonLogo:", "e": "emoji", "u": "https://emoji.redditmedia.com/8yxdpg6xxnr71_t5_2qh0y/pythonLogo"}, {"e": "text", "t": " Daily Thread"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "daily-thread", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uj99ws", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.67, "author_flair_background_color": null, "subreddit_type": "public", "ups": 3, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": ":pythonLogo: Daily Thread", "can_mod_post": false, "score": 3, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": true, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "post_hint": "self", "content_categories": null, "is_self": true, "mod_note": null, "created": 1782777606.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Weekly Wednesday Thread: Advanced Questions \ud83d\udc0d

\n\n

Dive deep into Python with our Advanced Questions thread! This space is reserved for questions about more advanced Python topics, frameworks, and best practices.

\n\n

How it Works:

\n\n
    \n
  1. Ask Away: Post your advanced Python questions here.
  2. \n
  3. Expert Insights: Get answers from experienced developers.
  4. \n
  5. Resource Pool: Share or discover tutorials, articles, and tips.
  6. \n
\n\n

Guidelines:

\n\n
    \n
  • This thread is for advanced questions only. Beginner questions are welcome in our Daily Beginner Thread every Thursday.
  • \n
  • Questions that are not advanced may be removed and redirected to the appropriate thread.
  • \n
\n\n

Recommended Resources:

\n\n\n\n

Example Questions:

\n\n
    \n
  1. How can you implement a custom memory allocator in Python?
  2. \n
  3. What are the best practices for optimizing Cython code for heavy numerical computations?
  4. \n
  5. How do you set up a multi-threaded architecture using Python's Global Interpreter Lock (GIL)?
  6. \n
  7. Can you explain the intricacies of metaclasses and how they influence object-oriented design in Python?
  8. \n
  9. How would you go about implementing a distributed task queue using Celery and RabbitMQ?
  10. \n
  11. What are some advanced use-cases for Python's decorators?
  12. \n
  13. How can you achieve real-time data streaming in Python with WebSockets?
  14. \n
  15. What are the performance implications of using native Python data structures vs NumPy arrays for large-scale data?
  16. \n
  17. Best practices for securing a Flask (or similar) REST API with OAuth 2.0?
  18. \n
  19. What are the best practices for using Python in a microservices architecture? (..and more generally, should I even use microservices?)
  20. \n
\n\n

Let's deepen our Python knowledge together. Happy coding! \ud83c\udf1f

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "preview": {"images": [{"source": {"url": "https://external-preview.redd.it/Qr0qqr0jX1TjZaLE6_zaVcWJHZQGJPofEJEedmb9MtI.jpeg?auto=webp&s=f0e96c458bf454a41999b79e0f2b4170f1e1c85f", "width": 512, "height": 288}, "resolutions": [{"url": "https://external-preview.redd.it/Qr0qqr0jX1TjZaLE6_zaVcWJHZQGJPofEJEedmb9MtI.jpeg?width=108&crop=smart&auto=webp&s=7726f1bd96bb293ee00f58330b9db8277d3a4e97", "width": 108, "height": 60}, {"url": "https://external-preview.redd.it/Qr0qqr0jX1TjZaLE6_zaVcWJHZQGJPofEJEedmb9MtI.jpeg?width=216&crop=smart&auto=webp&s=7592cc25c340779fdbd514118a98258c5def8dce", "width": 216, "height": 121}, {"url": "https://external-preview.redd.it/Qr0qqr0jX1TjZaLE6_zaVcWJHZQGJPofEJEedmb9MtI.jpeg?width=320&crop=smart&auto=webp&s=6dca793160bdafbbdac9126b927e2b64871738a5", "width": 320, "height": 180}], "variants": {}, "id": "Qr0qqr0jX1TjZaLE6_zaVcWJHZQGJPofEJEedmb9MtI"}], "enabled": false}, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "6c024934-de3f-11ea-a05a-0ea86b2be9a1", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": "moderator", "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#00a6a5", "id": "1uj99ws", "is_robot_indexable": true, "report_reasons": null, "author": "AutoModerator", "discussion_type": null, "num_comments": 4, "send_replies": false, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uj99ws/tuesday_daily_thread_advanced_questions/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uj99ws/tuesday_daily_thread_advanced_questions/", "subreddit_subscribers": 1493425, "created_utc": 1782777606.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "We compared the 3 pip-installable mesh boolean libraries on the task of pairwise mesh booleans at industry scale.\n\nFull write up: [https://polydera.com/algorithms/python-mesh-boolean-libraries-2026](https://polydera.com/algorithms/python-mesh-boolean-libraries-2026)\n\n#### Libraries tested\n\n- **[MeshLib](https://meshlib.io/) 3.1** \u2014 `pip install meshlib`. Simulation of Simplicity for degeneracy handling.\n- **[Manifold](https://github.com/elalish/manifold) 3.5** \u2014 `pip install manifold3d`. Deterministic floating point with symbolic perturbation.\n- **[trueform](https://polydera.com/trueform) 0.9.8** \u2014 `pip install trueform`. Topologically-exact arrangements via a bounded integer kernel. Ships native, python and WebAssembly.\n\nAll three are native cores (C++/Rust) with Python bindings.\n\n#### Protocol\n\nEach library is timed from input arrays (vertices, triangles) to output arrays of the same shape. Native-object construction \u2014 acceleration structures, trees, topology \u2014 plus the boolean, all in the timer. Only file I/O is outside. Best of 5, fresh objects every run; nothing amortised across calls.\n\n**Result agreement.** On every pair the three produced the same solid \u2014 signed volumes agree within floating-point tolerance. trueform and Manifold returned a closed, manifold mesh on all 1000 pairs; MeshLib on 999. The comparison is wall-clock only.\n\n**Corpus.** Random sets of solid, manifold, non-self-intersecting Thingi10K meshes, 200K to 1.5M polygons per operand. Each operand is normalised to unit extent, randomly rotated, and translated so the bounding boxes overlap; each pair takes the union. Thingi10K IDs and per-operand counts for every case are published: [pairwise corpus](https://github.com/polydera/trueform/blob/main/research/uncertainty-aware-mesh-csg/data/pairwise-corpus-ids.json).\n\n**Environment.** Apple M4 Max (arm64), macOS, CPython 3.13. Installed from PyPI: trueform 0.9.8, meshlib 3.1.0.75, manifold3d 3.5.1 \u2014 default builds, default thread count. On Apple Silicon the wheel's compiled architecture matters; all three ship native arm64 builds.\n\n#### Results\n\n**Of the libraries you can `pip install`, trueform was the fastest mesh boolean in Python** \u2014 fastest on every one of the 1000 pairwise pairs.\n\n**Pairwise** \u2014 one boolean per pair across the 1000-pair corpus.\n\n| library | median (ms) | geomean \u00d7 vs trueform | valid / 1000 |\n|---|---:|---:|---:|\n| trueform 0.9.8 | 18.0 | 1.0\u00d7 | 1000 |\n| MeshLib 3.1 | 87.6 | 4.9\u00d7 | 999 |\n| Manifold 3.5 | 120.3 | 6.9\u00d7 | 1000 |\n\n---\n\n*Disclosure: I'm one of the authors of trueform.*", "author_fullname": "t2_81ze3aps", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Comparison and Benchmarks of Python Mesh Boolean Libraries at Industry Scale", "link_flair_richtext": [{"e": "text", "t": "Resource"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "resource", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uins5r", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.79, "author_flair_background_color": null, "subreddit_type": "public", "ups": 8, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Resource", "can_mod_post": false, "score": 8, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": 1782753231.0, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "post_hint": "self", "content_categories": null, "is_self": true, "mod_note": null, "created": 1782725887.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

We compared the 3 pip-installable mesh boolean libraries on the task of pairwise mesh booleans at industry scale.

\n\n

Full write up: https://polydera.com/algorithms/python-mesh-boolean-libraries-2026

\n\n

Libraries tested

\n\n
    \n
  • MeshLib 3.1 \u2014 pip install meshlib. Simulation of Simplicity for degeneracy handling.
  • \n
  • Manifold 3.5 \u2014 pip install manifold3d. Deterministic floating point with symbolic perturbation.
  • \n
  • trueform 0.9.8 \u2014 pip install trueform. Topologically-exact arrangements via a bounded integer kernel. Ships native, python and WebAssembly.
  • \n
\n\n

All three are native cores (C++/Rust) with Python bindings.

\n\n

Protocol

\n\n

Each library is timed from input arrays (vertices, triangles) to output arrays of the same shape. Native-object construction \u2014 acceleration structures, trees, topology \u2014 plus the boolean, all in the timer. Only file I/O is outside. Best of 5, fresh objects every run; nothing amortised across calls.

\n\n

Result agreement. On every pair the three produced the same solid \u2014 signed volumes agree within floating-point tolerance. trueform and Manifold returned a closed, manifold mesh on all 1000 pairs; MeshLib on 999. The comparison is wall-clock only.

\n\n

Corpus. Random sets of solid, manifold, non-self-intersecting Thingi10K meshes, 200K to 1.5M polygons per operand. Each operand is normalised to unit extent, randomly rotated, and translated so the bounding boxes overlap; each pair takes the union. Thingi10K IDs and per-operand counts for every case are published: pairwise corpus.

\n\n

Environment. Apple M4 Max (arm64), macOS, CPython 3.13. Installed from PyPI: trueform 0.9.8, meshlib 3.1.0.75, manifold3d 3.5.1 \u2014 default builds, default thread count. On Apple Silicon the wheel's compiled architecture matters; all three ship native arm64 builds.

\n\n

Results

\n\n

Of the libraries you can pip install, trueform was the fastest mesh boolean in Python \u2014 fastest on every one of the 1000 pairwise pairs.

\n\n

Pairwise \u2014 one boolean per pair across the 1000-pair corpus.

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
librarymedian (ms)geomean \u00d7 vs trueformvalid / 1000
trueform 0.9.818.01.0\u00d71000
MeshLib 3.187.64.9\u00d7999
Manifold 3.5120.36.9\u00d71000
\n\n
\n\n

Disclosure: I'm one of the authors of trueform.

\n
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Whether you're a newbie looking for a first project or an expert seeking a new challenge, this is the place for you.\n\n## How it Works:\n\n1. **Suggest a Project**: Comment your project idea\u2014be it beginner-friendly or advanced.\n2. **Build & Share**: If you complete a project, reply to the original comment, share your experience, and attach your source code.\n3. **Explore**: Looking for ideas? Check out Al Sweigart's [\"The Big Book of Small Python Projects\"](https://www.amazon.com/Big-Book-Small-Python-Programming/dp/1718501242) for inspiration.\n\n## Guidelines:\n\n* Clearly state the difficulty level.\n* Provide a brief description and, if possible, outline the tech stack.\n* Feel free to link to tutorials or resources that might help.\n\n# Example Submissions:\n\n## Project Idea: Chatbot\n\n**Difficulty**: Intermediate\n\n**Tech Stack**: Python, NLP, Flask/FastAPI/Litestar \n\n**Description**: Create a chatbot that can answer FAQs for a website.\n\n**Resources**: [Building a Chatbot with Python](https://www.youtube.com/watch?v=a37BL0stIuM)\n\n# Project Idea: Weather Dashboard\n\n**Difficulty**: Beginner\n\n**Tech Stack**: HTML, CSS, JavaScript, API\n\n**Description**: Build a dashboard that displays real-time weather information using a weather API.\n\n**Resources**: [Weather API Tutorial](https://www.youtube.com/watch?v=9P5MY_2i7K8)\n\n## Project Idea: File Organizer\n\n**Difficulty**: Beginner\n\n**Tech Stack**: Python, File I/O\n\n**Description**: Create a script that organizes files in a directory into sub-folders based on file type.\n\n**Resources**: [Automate the Boring Stuff: Organizing Files](https://automatetheboringstuff.com/2e/chapter9/)\n\nLet's help each other grow. Happy coding! \ud83c\udf1f", "author_fullname": "t2_6l4z3", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Monday Daily Thread: Project ideas!", "link_flair_richtext": [{"a": ":pythonLogo:", "e": "emoji", "u": "https://emoji.redditmedia.com/8yxdpg6xxnr71_t5_2qh0y/pythonLogo"}, {"e": "text", "t": " Daily Thread"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "daily-thread", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uictw2", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.67, "author_flair_background_color": null, "subreddit_type": "public", "ups": 4, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": ":pythonLogo: Daily Thread", "can_mod_post": false, "score": 4, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": true, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "post_hint": "self", "content_categories": null, "is_self": true, "mod_note": null, "created": 1782691206.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Weekly Thread: Project Ideas \ud83d\udca1

\n\n

Welcome to our weekly Project Ideas thread! Whether you're a newbie looking for a first project or an expert seeking a new challenge, this is the place for you.

\n\n

How it Works:

\n\n
    \n
  1. Suggest a Project: Comment your project idea\u2014be it beginner-friendly or advanced.
  2. \n
  3. Build & Share: If you complete a project, reply to the original comment, share your experience, and attach your source code.
  4. \n
  5. Explore: Looking for ideas? Check out Al Sweigart's "The Big Book of Small Python Projects" for inspiration.
  6. \n
\n\n

Guidelines:

\n\n
    \n
  • Clearly state the difficulty level.
  • \n
  • Provide a brief description and, if possible, outline the tech stack.
  • \n
  • Feel free to link to tutorials or resources that might help.
  • \n
\n\n

Example Submissions:

\n\n

Project Idea: Chatbot

\n\n

Difficulty: Intermediate

\n\n

Tech Stack: Python, NLP, Flask/FastAPI/Litestar

\n\n

Description: Create a chatbot that can answer FAQs for a website.

\n\n

Resources: Building a Chatbot with Python

\n\n

Project Idea: Weather Dashboard

\n\n

Difficulty: Beginner

\n\n

Tech Stack: HTML, CSS, JavaScript, API

\n\n

Description: Build a dashboard that displays real-time weather information using a weather API.

\n\n

Resources: Weather API Tutorial

\n\n

Project Idea: File Organizer

\n\n

Difficulty: Beginner

\n\n

Tech Stack: Python, File I/O

\n\n

Description: Create a script that organizes files in a directory into sub-folders based on file type.

\n\n

Resources: Automate the Boring Stuff: Organizing Files

\n\n

Let's help each other grow. Happy coding! \ud83c\udf1f

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "preview": {"images": [{"source": {"url": "https://external-preview.redd.it/wyRlnnC4nIHWRfWMUIBnHvHMsP98N9mROJtKXbnwKWI.png?auto=webp&s=8cdb17f0919f23f3fc3c0bd9dac21cd40118adda", "width": 1910, "height": 1000}, "resolutions": [{"url": "https://external-preview.redd.it/wyRlnnC4nIHWRfWMUIBnHvHMsP98N9mROJtKXbnwKWI.png?width=108&crop=smart&auto=webp&s=c7ef9713fb4fbf51d0d7da30fb558f95324a395b", "width": 108, "height": 56}, {"url": "https://external-preview.redd.it/wyRlnnC4nIHWRfWMUIBnHvHMsP98N9mROJtKXbnwKWI.png?width=216&crop=smart&auto=webp&s=70f4ef0366eafa569960666b4537977954dc4da4", "width": 216, "height": 113}, {"url": "https://external-preview.redd.it/wyRlnnC4nIHWRfWMUIBnHvHMsP98N9mROJtKXbnwKWI.png?width=320&crop=smart&auto=webp&s=e88e6f574ea2b6abf3644be5140a1ed8ad6d613c", "width": 320, "height": 167}, {"url": "https://external-preview.redd.it/wyRlnnC4nIHWRfWMUIBnHvHMsP98N9mROJtKXbnwKWI.png?width=640&crop=smart&auto=webp&s=290ace7209dd3df0a237ec970a6a8b1662d523e1", "width": 640, "height": 335}, {"url": "https://external-preview.redd.it/wyRlnnC4nIHWRfWMUIBnHvHMsP98N9mROJtKXbnwKWI.png?width=960&crop=smart&auto=webp&s=421952297faebb04d1038184216c053ab1f0bb56", "width": 960, "height": 502}, {"url": "https://external-preview.redd.it/wyRlnnC4nIHWRfWMUIBnHvHMsP98N9mROJtKXbnwKWI.png?width=1080&crop=smart&auto=webp&s=2e3704dd3e397c6dbebe004c6cce33e8cd82d316", "width": 1080, "height": 565}], "variants": {}, "id": "wyRlnnC4nIHWRfWMUIBnHvHMsP98N9mROJtKXbnwKWI"}], "enabled": false}, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "6c024934-de3f-11ea-a05a-0ea86b2be9a1", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": "moderator", "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#00a6a5", "id": "1uictw2", "is_robot_indexable": true, "report_reasons": null, "author": "AutoModerator", "discussion_type": null, "num_comments": 0, "send_replies": false, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uictw2/monday_daily_thread_project_ideas/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uictw2/monday_daily_thread_project_ideas/", "subreddit_subscribers": 1493425, "created_utc": 1782691206.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "Hey r/learnpython \ud83d\udc4b\n\nBuilt PyRun (pyrun.in) \u2014 a browser-based Python learning platform \n\npowered by Pyodide. Write and run Python directly in your browser, \n\nzero setup needed.\n\nWhat's included:\n\n\u2022 Interactive Python editor (Monaco-based)\n\n\u2022 Structured lessons from beginner to advanced\n\n\u2022 Instant output \u2014 no backend, runs locally in your browser\n\n\u2022 Free to use\n\nWould love feedback from this community \u2014 what topics or features \n\nwould make this more useful for you?\n\nLink: https://pyrun.in", "author_fullname": "t2_2hinuthhdk", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "I built a free in-browser Python learning platform \u2013 no installs, just open and code", "link_flair_richtext": [{"e": "text", "t": "Tutorial"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "tutorial", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uiw602", "quarantine": false, "link_flair_text_color": "dark", "upvote_ratio": 0.25, "author_flair_background_color": null, "subreddit_type": "public", "ups": 0, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Tutorial", "can_mod_post": false, "score": 0, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "post_hint": "self", "content_categories": null, "is_self": true, "mod_note": null, "created": 1782747928.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Hey r/learnpython \ud83d\udc4b

\n\n

Built PyRun (pyrun.in) \u2014 a browser-based Python learning platform

\n\n

powered by Pyodide. Write and run Python directly in your browser,

\n\n

zero setup needed.

\n\n

What's included:

\n\n

\u2022 Interactive Python editor (Monaco-based)

\n\n

\u2022 Structured lessons from beginner to advanced

\n\n

\u2022 Instant output \u2014 no backend, runs locally in your browser

\n\n

\u2022 Free to use

\n\n

Would love feedback from this community \u2014 what topics or features

\n\n

would make this more useful for you?

\n\n

Link: https://pyrun.in

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": true, "is_crosspostable": false, "pinned": false, "over_18": false, "preview": {"images": [{"source": {"url": "https://external-preview.redd.it/Zbc0eUv1jXytp6GEqwGvRsh-PTjb-xLlLDl976BYG_g.png?auto=webp&s=30a4651979e078369eee9b8f8707a356f8a1cc11", "width": 1200, "height": 630}, "resolutions": [{"url": "https://external-preview.redd.it/Zbc0eUv1jXytp6GEqwGvRsh-PTjb-xLlLDl976BYG_g.png?width=108&crop=smart&auto=webp&s=963a21f143c1243528c655e9506c1d7c98703ade", "width": 108, "height": 56}, {"url": "https://external-preview.redd.it/Zbc0eUv1jXytp6GEqwGvRsh-PTjb-xLlLDl976BYG_g.png?width=216&crop=smart&auto=webp&s=fb89b2dda88c5cf5963a2e6ae03251a188ae0826", "width": 216, "height": 113}, {"url": "https://external-preview.redd.it/Zbc0eUv1jXytp6GEqwGvRsh-PTjb-xLlLDl976BYG_g.png?width=320&crop=smart&auto=webp&s=e38c05daf7fe3afd90e786b07c97f0bff68f0f67", "width": 320, "height": 168}, {"url": "https://external-preview.redd.it/Zbc0eUv1jXytp6GEqwGvRsh-PTjb-xLlLDl976BYG_g.png?width=640&crop=smart&auto=webp&s=29b6d153f034b3b0117e66c68b8ae6a92f4ae98a", "width": 640, "height": 336}, {"url": "https://external-preview.redd.it/Zbc0eUv1jXytp6GEqwGvRsh-PTjb-xLlLDl976BYG_g.png?width=960&crop=smart&auto=webp&s=279a2855c24fae439dd2cc3a0d9b7011039fed27", "width": 960, "height": 504}, {"url": "https://external-preview.redd.it/Zbc0eUv1jXytp6GEqwGvRsh-PTjb-xLlLDl976BYG_g.png?width=1080&crop=smart&auto=webp&s=09560fe60b9e09b9e38403956c12f60d4437efc5", "width": 1080, "height": 567}], "variants": {}, "id": "Zbc0eUv1jXytp6GEqwGvRsh-PTjb-xLlLDl976BYG_g"}], "enabled": false}, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "7987a74c-04d8-11eb-84ca-0e0ac8b5a78f", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#dadada", "id": "1uiw602", "is_robot_indexable": true, "report_reasons": null, "author": "No_Monitor3155", "discussion_type": null, "num_comments": 2, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uiw602/i_built_a_free_inbrowser_python_learning_platform/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uiw602/i_built_a_free_inbrowser_python_learning_platform/", "subreddit_subscribers": 1493425, "created_utc": 1782747928.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "I'm a coding beginner and after i updated windows the layout started looking different (i can't add pics), i want it to go back to what it used to be as I'm not sure how to use it. ", "author_fullname": "t2_7pzenp33", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "why is pycharm doing this after a windows update", "link_flair_richtext": [{"e": "text", "t": "Discussion"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "discussion", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uj092r", "quarantine": false, "link_flair_text_color": "light", "upvote_ratio": 0.08, "author_flair_background_color": null, "subreddit_type": "public", "ups": 0, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Discussion", "can_mod_post": false, "score": 0, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782756782.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

I'm a coding beginner and after i updated windows the layout started looking different (i can't add pics), i want it to go back to what it used to be as I'm not sure how to use it.

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": true, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "0df42996-1c5e-11ea-b1a0-0e44e1c5b731", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": null, "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#f50057", "id": "1uj092r", "is_robot_indexable": true, "report_reasons": null, "author": "Regular_Philosophy_9", "discussion_type": null, "num_comments": 12, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": null, "permalink": "/r/Python/comments/1uj092r/why_is_pycharm_doing_this_after_a_windows_update/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uj092r/why_is_pycharm_doing_this_after_a_windows_update/", "subreddit_subscribers": 1493425, "created_utc": 1782756782.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "Hey everyone and all space enthusiasts,\n\n \nOn April 13, 2029, the asteroid **99942 Apophis** will fly past Earth at roughly 38,000 km. Closer than our geostationary satellites! Its discovery history was pretty interesting, because in the beginning there was a 2.7 % chance of an impact (don't worry, it is almost null now). So I decided to use NASA/JPL's SPICE toolkit using Python (`spiceypy`) to calculate the encounter's properties.\n\n \nI documented the entire project in a Jupyter Notebook and put together a complete video walk-through tutorial. Code: [https://github.com/ThomasAlbin/Space-Science-With-Python/blob/main/2026/04\\_SPICE\\_Apohis\\_2029\\_Flyby.ipynb](https://github.com/ThomasAlbin/Space-Science-With-Python/blob/main/2026/04_SPICE_Apohis_2029_Flyby.ipynb)\n\nVideo: [https://www.youtube.com/watch?v=j4mJTR-BTto](https://www.youtube.com/watch?v=j4mJTR-BTto)\n\nWhat the tutorial does (and why it's 30 minutes long \ud83d\ude05):\n\n* Computing the time when Apophis enters Earth's gravitational vicinity (the Sphere of Influece)\n* Computing the closest appraoch (distance and time)\n* Computing how the orbital elements (the dynamical properties to describe orbits in space) change after the encounter with Earth.\n\nBy the way: I used also Python + NASA's Cosmographia to create a nice 3D animation of the encounter :). But I will post it soon on my YouTube channel. Since the corresponding code is a complete mess I won't post it here, because I will only post the animation. I have to clean it up...\n\n \nBest,\n\nThomas (your Cassini/Huygens scientist)", "author_fullname": "t2_67yyoriy", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Computing the close encounter between Apophis and Earth in 2029 (tutorial)", "link_flair_richtext": [{"e": "text", "t": "Tutorial"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "tutorial", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uhutaj", "quarantine": false, "link_flair_text_color": "dark", "upvote_ratio": 0.9, "author_flair_background_color": "#b8001f", "subreddit_type": "public", "ups": 23, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": "01f57bbe-537c-11ee-bb0d-6ef63b2ae5b9", "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Tutorial", "can_mod_post": false, "score": 23, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [{"e": "text", "t": "git push -f"}], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782645910.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "richtext", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Hey everyone and all space enthusiasts,

\n\n

On April 13, 2029, the asteroid 99942 Apophis will fly past Earth at roughly 38,000 km. Closer than our geostationary satellites! Its discovery history was pretty interesting, because in the beginning there was a 2.7 % chance of an impact (don't worry, it is almost null now). So I decided to use NASA/JPL's SPICE toolkit using Python (spiceypy) to calculate the encounter's properties.

\n\n

I documented the entire project in a Jupyter Notebook and put together a complete video walk-through tutorial. Code: https://github.com/ThomasAlbin/Space-Science-With-Python/blob/main/2026/04_SPICE_Apohis_2029_Flyby.ipynb

\n\n

Video: https://www.youtube.com/watch?v=j4mJTR-BTto

\n\n

What the tutorial does (and why it's 30 minutes long \ud83d\ude05):

\n\n
    \n
  • Computing the time when Apophis enters Earth's gravitational vicinity (the Sphere of Influece)
  • \n
  • Computing the closest appraoch (distance and time)
  • \n
  • Computing how the orbital elements (the dynamical properties to describe orbits in space) change after the encounter with Earth.
  • \n
\n\n

By the way: I used also Python + NASA's Cosmographia to create a nice 3D animation of the encounter :). But I will post it soon on my YouTube channel. Since the corresponding code is a complete mess I won't post it here, because I will only post the animation. I have to clean it up...

\n\n

Best,

\n\n

Thomas (your Cassini/Huygens scientist)

\n
", "likes": null, "suggested_sort": null, "banned_at_utc": null, "view_count": null, "archived": false, "no_follow": false, "is_crosspostable": false, "pinned": false, "over_18": false, "all_awardings": [], "awarders": [], "media_only": false, "link_flair_template_id": "7987a74c-04d8-11eb-84ca-0e0ac8b5a78f", "can_gild": false, "spoiler": false, "locked": false, "author_flair_text": "git push -f", "treatment_tags": [], "visited": false, "removed_by": null, "num_reports": null, "distinguished": null, "subreddit_id": "t5_2qh0y", "author_is_blocked": false, "mod_reason_by": null, "removal_reason": null, "link_flair_background_color": "#dadada", "id": "1uhutaj", "is_robot_indexable": true, "report_reasons": null, "author": "MrAstroThomas", "discussion_type": null, "num_comments": 10, "send_replies": true, "contest_mode": false, "mod_reports": [], "author_patreon_flair": false, "author_flair_text_color": "light", "permalink": "/r/Python/comments/1uhutaj/computing_the_close_encounter_between_apophis_and/", "stickied": false, "url": "https://www.reddit.com/r/Python/comments/1uhutaj/computing_the_close_encounter_between_apophis_and/", "subreddit_subscribers": 1493425, "created_utc": 1782645910.0, "num_crossposts": 0, "media": null, "is_video": false}}, {"kind": "t3", "data": {"approved_at_utc": null, "subreddit": "Python", "selftext": "Hi guys this tutorial is about training a neural network in Python to sort lists of numbers using the Gumbel-Sinkhorn architecture from the original 2018 paper.\n\n\n\nGithub: [https://github.com/MurageKibicho/Neural-Sorting-Algorithms-Gumbel-Sinkhorn-Networks/tree/main](https://github.com/MurageKibicho/Neural-Sorting-Algorithms-Gumbel-Sinkhorn-Networks/tree/main)\n\n\n\nWriteup: [https://leetarxiv.substack.com/p/gumbel-sinkhorn-neural-sort](https://leetarxiv.substack.com/p/gumbel-sinkhorn-neural-sort)", "author_fullname": "t2_3xvmpjwh9", "saved": false, "mod_reason_title": null, "gilded": 0, "clicked": false, "title": "Neural Sorting Algorithms: Gumbel-Sinkhorn Networks", "link_flair_richtext": [{"e": "text", "t": "Tutorial"}], "subreddit_name_prefixed": "r/Python", "hidden": false, "pwls": 6, "link_flair_css_class": "tutorial", "downs": 0, "thumbnail_height": null, "top_awarded_type": null, "hide_score": false, "name": "t3_1uhkicg", "quarantine": false, "link_flair_text_color": "dark", "upvote_ratio": 0.7, "author_flair_background_color": null, "subreddit_type": "public", "ups": 10, "total_awards_received": 0, "media_embed": {}, "thumbnail_width": null, "author_flair_template_id": null, "is_original_content": false, "user_reports": [], "secure_media": null, "is_reddit_media_domain": false, "is_meta": false, "category": null, "secure_media_embed": {}, "link_flair_text": "Tutorial", "can_mod_post": false, "score": 10, "approved_by": null, "is_created_from_ads_ui": false, "author_premium": false, "thumbnail": "self", "edited": false, "author_flair_css_class": null, "author_flair_richtext": [], "gildings": {}, "content_categories": null, "is_self": true, "mod_note": null, "created": 1782611904.0, "link_flair_type": "richtext", "wls": 6, "removed_by_category": null, "banned_by": null, "author_flair_type": "text", "domain": "self.Python", "allow_live_comments": false, "selftext_html": "

Hi guys this tutorial is about training a neural network in Python to sort lists of numbers using the Gumbel-Sinkhorn architecture from the original 2018 paper.

\n\n

Github: https://github.com/MurageKibicho/Neural-Sorting-Algorithms-Gumbel-Sinkhorn-Networks/tree/main

\n\n

Writeup: https://leetarxiv.substack.com/p/gumbel-sinkhorn-neural-sort

\n
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Weekly Thread: What's Everyone Working On This Week? \ud83d\udee0\ufe0f

\n\n

Hello r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to!

\n\n

How it Works:

\n\n
    \n
  1. Show & Tell: Share your current projects, completed works, or future ideas.
  2. \n
  3. Discuss: Get feedback, find collaborators, or just chat about your project.
  4. \n
  5. Inspire: Your project might inspire someone else, just as you might get inspired here.
  6. \n
\n\n

Guidelines:

\n\n
    \n
  • Feel free to include as many details as you'd like. Code snippets, screenshots, and links are all welcome.
  • \n
  • Whether it's your job, your hobby, or your passion project, all Python-related work is welcome here.
  • \n
\n\n

Example Shares:

\n\n
    \n
  1. Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
  2. \n
  3. Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better.
  4. \n
  5. Automation: Automated my home lighting with Python and Raspberry Pi. My life has never been easier!
  6. \n
\n\n

Let's build and grow together! Share your journey and learn from others. Happy coding! \ud83c\udf1f

\n
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Hi guys this tutorial is about handling errors as value in Python or in nerd language monadic error handling pattern in Python using katharos library:

\n\n

https://theblog.info/posts/handling-errors-as-values-in-python-with-katharos

\n
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Post all of your code/projects/showcases/AI slop here.

\n\n

Recycles once a month.

\n
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db-git\u00a0- keep your local database in sync with your git branches.

\n\n

What My Project Does

\n\n

db-git\u00a0is a developer tool for projects where database state follows code changes: schema migrations, seed data, experimental feature work, and branch switching during reviews. It installs git\u00a0post-checkout\u00a0hook and keeps your local database aligned with the branch you are working on.

\n\n
    \n
  • Two workflows:\n\n
      \n
    • shared: one database, saved and restored per branch
    • \n
    • per-branch: one database per branch
    • \n
  • \n
  • PostgreSQL support today, with plans for more database backends
  • \n
  • Two PostgreSQL snapshot strategies:\n\n
      \n
    • template: fast database clones using\u00a0CREATE DATABASE ... TEMPLATE
    • \n
    • pgdump: portable snapshots using\u00a0pg_dump\u00a0and\u00a0pg_restore
    • \n
  • \n
\n\n

Target Audience

\n\n

Backend and full-stack developers who run databases locally and switch branches often, especially on projects where migrations or seed data diverge between branches. It's a local development tool.

\n\n

Comparison

\n\n

The main things that set\u00a0db-git\u00a0apart from existing tools are:

\n\n
    \n
  1. It lets you choose per project,\u00a0shared\u00a0vs\u00a0per-branch, and\u00a0template\u00a0vs\u00a0pgdump.
  2. \n
  3. It ties database state directly to checkout.
  4. \n
  5. It is not tied to a specific database engine. PostgreSQL is the first supported backend, but the design isn't Postgres-specific, and more databases are planned.
  6. \n
\n\n

uv tool install db-git

\n\n

GitHub:\u00a0https://github.com/earthcomfy/db-git

\n\n

Any feedback is very welcome!

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/oprc6qa/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780597457.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 4}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "opt03ob", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "emnoleg", "can_mod_post": false, "created_utc": 1780615070.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 3, "author_fullname": "t2_25q8p7gsgg", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "# Tired of screen-sharing 3D models in meetings, so I made them float on my webcam instead\n\n \nDrop any\u00a0*.glb*\u00a0file in a folder, pick it from the tray icon, and it appears on your webcam. **Move it, rotate it, scale it**. Your meeting app sees it as a normal camera. Nothing else to open or manage.\n\nGood for product demos, design reviews, showing off Blender exports, branded content on calls. Anything where you want the model visible **without screen-sharing**.\n\nWorks in Zoom, Meet, Teams, Discord, pretty much anything that accepts a webcam input.\n\nRenders the 3D layer **offscreen** and caches it. The model only re-renders when you move it, so the webcam stays smooth on any machine. Python,\u00a0*pyrender*,\u00a0*pyvirtualcam*\u00a0under the hood.\u00a0Open source, setup is one script.\n\n[Project Link](https://github.com/aadi-joshi/cam3)\n\n\n\n*Demo model: V1 from ULTRAKILL on Sketchfab (CC BY). Character by Hakita / New Blood Interactive. Not included in the repo.*\u00a0[*https://sketchfab.com/3d-models/v1-ultrakill-d951a08a8f50412d84e262bad887b285*](https://sketchfab.com/3d-models/v1-ultrakill-d951a08a8f50412d84e262bad887b285)", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_opt03ob", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

Tired of screen-sharing 3D models in meetings, so I made them float on my webcam instead

\n\n

Drop any\u00a0.glb\u00a0file in a folder, pick it from the tray icon, and it appears on your webcam. Move it, rotate it, scale it. Your meeting app sees it as a normal camera. Nothing else to open or manage.

\n\n

Good for product demos, design reviews, showing off Blender exports, branded content on calls. Anything where you want the model visible without screen-sharing.

\n\n

Works in Zoom, Meet, Teams, Discord, pretty much anything that accepts a webcam input.

\n\n

Renders the 3D layer offscreen and caches it. The model only re-renders when you move it, so the webcam stays smooth on any machine. Python,\u00a0pyrender,\u00a0pyvirtualcam\u00a0under the hood.\u00a0Open source, setup is one script.

\n\n

Project Link

\n\n

Demo model: V1 from ULTRAKILL on Sketchfab (CC BY). Character by Hakita / New Blood Interactive. Not included in the repo.\u00a0https://sketchfab.com/3d-models/v1-ultrakill-d951a08a8f50412d84e262bad887b285

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/opt03ob/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780615070.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 3}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "oqcmdwf", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "Comfortable-Noise144", "can_mod_post": false, "created_utc": 1780872157.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 3, "author_fullname": "t2_7qhbipym", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "Hi,\n\n**I built a VS Code extension to helt prevent losing track of complex math expressions in Python**\n\nWhen you're writing something like\u00a0`(a * np.sqrt(x**2 + y**2)) / (2 * np.pi * sigma**2)`\u00a0it gets really hard to mentally parse what that formula actually is. In Maple or Mathematica you see a clean equation. In Python you just see a wall of parentheses.\n\nSo I built a VS Code extension that lets you select any expression and instantly renders it as a proper math equation. It supports NumPy, SymPy, SciPy, matrices, integrals, derivatives and more.\n\nThis extension is intended for everyone, beginner programmers as well as experienced programmers, it just meant to give a better overview of math expressions. \n\nFree on the marketplace, search\u00a0**\"Python Expression Visualizer\"**\u00a0in VS Code extensions.\n\nThis is a link to the Github repository: \n[https://github.com/NickG-DK/python-expression-visualizer](https://github.com/NickG-DK/python-expression-visualizer)\n\n \nWould love feedback, as this is my first extension ever.", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_oqcmdwf", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

Hi,

\n\n

I built a VS Code extension to helt prevent losing track of complex math expressions in Python

\n\n

When you're writing something like\u00a0(a * np.sqrt(x**2 + y**2)) / (2 * np.pi * sigma**2)\u00a0it gets really hard to mentally parse what that formula actually is. In Maple or Mathematica you see a clean equation. In Python you just see a wall of parentheses.

\n\n

So I built a VS Code extension that lets you select any expression and instantly renders it as a proper math equation. It supports NumPy, SymPy, SciPy, matrices, integrals, derivatives and more.

\n\n

This extension is intended for everyone, beginner programmers as well as experienced programmers, it just meant to give a better overview of math expressions.

\n\n

Free on the marketplace, search\u00a0"Python Expression Visualizer"\u00a0in VS Code extensions.

\n\n

This is a link to the Github repository:
\nhttps://github.com/NickG-DK/python-expression-visualizer

\n\n

Would love feedback, as this is my first extension ever.

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/oqcmdwf/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780872157.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 3}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "oprmzm5", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "anton273", "can_mod_post": false, "created_utc": 1780600389.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 2, "author_fullname": "t2_5n55nn0l", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "I built watchpoints (data breakpoints) for PyCharm - lets you break on a value change, not a line. \n \nFree and open source, every developer deserves a great debugging experience. \nLink: [https://plugins.jetbrains.com/plugin/32087-python-watchpoint](https://plugins.jetbrains.com/plugin/32087-python-watchpoint)", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_oprmzm5", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

I built watchpoints (data breakpoints) for PyCharm - lets you break on a value change, not a line.

\n\n

Free and open source, every developer deserves a great debugging experience.
\nLink: https://plugins.jetbrains.com/plugin/32087-python-watchpoint

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/oprmzm5/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780600389.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 2}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "opro849", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "hmoein", "can_mod_post": false, "created_utc": 1780600729.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 2, "author_fullname": "t2_jeyhnly", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "[Grizzlars](https://github.com/NavodPeiris/grizzlars)\u00a0is Python bindings for the C++ DataFrame with an interface almost identical to Pandas. It is a bit of work in progress. It depends on an older version of C++ DataFrame than the latest release. But it is moving along surely.", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_opro849", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

Grizzlars\u00a0is Python bindings for the C++ DataFrame with an interface almost identical to Pandas. It is a bit of work in progress. It depends on an older version of C++ DataFrame than the latest release. But it is moving along surely.

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/opro849/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780600729.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 2}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": {"kind": "Listing", "data": {"after": null, "dist": null, "modhash": "", "geo_filter": "", "children": [{"kind": "more", "data": {"count": 2, "name": "t1_oqtbh24", "id": "oqtbh24", "parent_id": "t1_oprt22n", "depth": 1, "children": ["oqtbh24"]}}], "before": null}}, "user_reports": [], "saved": false, "id": "oprt22n", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "em_el_k0b01101011", "can_mod_post": false, "created_utc": 1780602067.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 2, "author_fullname": "t2_v8e339ps", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "**HyperWeave** is a Python library that generates self-contained SVGs: profile cards, star-history charts, small dashboards, receipts from AI coding sessions, and more. No JS, no external deps. Each one is a single SVG that renders anywhere an image does (GitHub READMEs, Slack, Notion, docs).\n\nDrive it from a CLI, an HTTP API, or an MCP server. It can also pull live data into the artifact, so a card can show a package's real download trend or latest version (PyPI, npm, crates, Hugging Face, arXiv, and a few others) without fetching anything yourself.\n\nThere's a hook for AI coding sessions too: each one ends with a receipt of tokens, cost, and tool calls.\n\nFastAPI + Pydantic + Jinja2 + Typer under the hood.\n\n`pip install hyperweave`\n\nGitHub: https://github.com/InnerAura/hyperweave\n\nPyPI: https://pypi.org/project/hyperweave/\n\nStill early, any feedback welcome. Cheers.", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_oprt22n", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

HyperWeave is a Python library that generates self-contained SVGs: profile cards, star-history charts, small dashboards, receipts from AI coding sessions, and more. No JS, no external deps. Each one is a single SVG that renders anywhere an image does (GitHub READMEs, Slack, Notion, docs).

\n\n

Drive it from a CLI, an HTTP API, or an MCP server. It can also pull live data into the artifact, so a card can show a package's real download trend or latest version (PyPI, npm, crates, Hugging Face, arXiv, and a few others) without fetching anything yourself.

\n\n

There's a hook for AI coding sessions too: each one ends with a receipt of tokens, cost, and tool calls.

\n\n

FastAPI + Pydantic + Jinja2 + Typer under the hood.

\n\n

pip install hyperweave

\n\n

GitHub: https://github.com/InnerAura/hyperweave

\n\n

PyPI: https://pypi.org/project/hyperweave/

\n\n

Still early, any feedback welcome. Cheers.

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/oprt22n/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780602067.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 2}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "opseoev", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "Beginning-Fruit-1397", "can_mod_post": false, "created_utc": 1780608167.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 2, "author_fullname": "t2_ndboruet", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "If you like itertools, fluent interfaces, Rust Result and Option, or the libraries like returns or more-itertools, check out my project pyochain!\u00a0\n\nSince the last showcase, more code have been moved to Rust which led to substantial performance improvements, and new constructs have been added, notably:\n\n- SliceView, zero copy, efficient view/slice of a Sequence\n- StableSet, a set that keep the original Iterable ordering when created.\n- Deque, pyochain version of collections.deque\u00a0\n\nIt's now as well dependency-free!\n\n\u00a0All the code coming from cytoolz (cython toolz version) has been replaced by the same functionality ported in Rust.\n\nLinks:\n\nGithub:\nhttps://github.com/OutSquareCapital/pyochain\n\nPypi:\nhttps://pypi.org/project/pyochain/\n\nMy last showcase on this sub:\nhttps://www.reddit.com/r/Python/comments/1q61bzg/pyochain_rustlike_iterator_result_and_option_in/\n\nComparison vs similar libraries, where's it's been ranked best choice (the post is NOT from me):\nhttps://www.reddit.com/r/Python/comments/1rj3ct7/comment/o8aordo/?context=3\n", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_opseoev", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

If you like itertools, fluent interfaces, Rust Result and Option, or the libraries like returns or more-itertools, check out my project pyochain!\u00a0

\n\n

Since the last showcase, more code have been moved to Rust which led to substantial performance improvements, and new constructs have been added, notably:

\n\n
    \n
  • SliceView, zero copy, efficient view/slice of a Sequence
  • \n
  • StableSet, a set that keep the original Iterable ordering when created.
  • \n
  • Deque, pyochain version of collections.deque\u00a0
  • \n
\n\n

It's now as well dependency-free!

\n\n

\u00a0All the code coming from cytoolz (cython toolz version) has been replaced by the same functionality ported in Rust.

\n\n

Links:

\n\n

Github:\nhttps://github.com/OutSquareCapital/pyochain

\n\n

Pypi:\nhttps://pypi.org/project/pyochain/

\n\n

My last showcase on this sub:\nhttps://www.reddit.com/r/Python/comments/1q61bzg/pyochain_rustlike_iterator_result_and_option_in/

\n\n

Comparison vs similar libraries, where's it's been ranked best choice (the post is NOT from me):\nhttps://www.reddit.com/r/Python/comments/1rj3ct7/comment/o8aordo/?context=3

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/opseoev/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780608167.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 2}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "oq8egkc", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "iliketrains166", "can_mod_post": false, "created_utc": 1780820743.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 2, "author_fullname": "t2_6i4840c2", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "**peeq: A CLI to investigate Python package metadata, dependencies, vulnerabilities and more**\n\nI work with Python packages as published artifacts a lot: building them from source, inspecting source, applying patches, debugging resolver issues, and checking what actually shipped in an sdist or wheel.\n\nThe information is usually available, but it\u2019s scattered across PyPI metadata, source repos, distribution archives, OSV, resolver output, and other places. Source repos are especially tricky because the main branch often does not match the release I\u2019m investigating.\n\nThat led me to build **peeq** \\- a CLI for inspecting Python package metadata, dependencies, files, and versions from PyPI or private indexes, and known vulnerabilities via OSV, without installing or executing the package being inspected.\n\n\n\n**Links:**\n\nGitHub: [https://github.com/MichaelYochpaz/peeq](https://github.com/MichaelYochpaz/peeq)\n\nDocs: [https://peeq.michaelyo.dev](https://peeq.michaelyo.dev)\n\nPyPI: [https://pypi.org/project/peeq](https://pypi.org/project/peeq)\n\n\n\nExample commands you can try (requires uv):\n\n`uvx peeq info requests --full`\n\n`uvx peeq deps docling --version 2.20.0 --diff 2.30.0`\n\n`uvx peeq cat requests pyproject.toml`\n\n`uvx peeq vulns requests --version 2.31.0`\n\n`uvx peeq conflicts kubernetes==35.0.0a1 kfp==2.16.0`\n\n`uvx peeq why \"flask>=3.0\" -d markupsafe`\n\n\n\npeeq is written for both humans and agents, and ships [with a native Agent Skill](https://peeq.michaelyo.dev/ai-agents/skill/).\n\nWith the skill installed, coding agents can answer package questions by inspecting the published metadata/artifacts themselves instead of guessing from memory or installing packages.\n\nWith peeq's skill installed, you can ask your agent questions in natural language like:\n\n\\- \"Does \\`docling\\` depend on \\`pydantic\\`, and through which path?\"\n\n\\- \"Why can't \\`kubernetes==35.0.0a1\\` be installed together with \\`kfp==2.16.0\\`?\"\n\n\\- \"What changed in \\`docling\\` dependencies between versions 2.20.0 and 2.30.0?\"\n\n\\- \"Which build backend does the \\`httpx\\` Python package use?\"\n\nTransparency note: The project relies heavily on AI coding agents for development. I\u2019m a Python software engineer and the maintainer of the project; design choices, code changes, docs, and releases are all manually reviewed and tested by me.\n\n\n\nFeedback (either here or on GitHub) is welcome!\n\n", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_oq8egkc", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

peeq: A CLI to investigate Python package metadata, dependencies, vulnerabilities and more

\n\n

I work with Python packages as published artifacts a lot: building them from source, inspecting source, applying patches, debugging resolver issues, and checking what actually shipped in an sdist or wheel.

\n\n

The information is usually available, but it\u2019s scattered across PyPI metadata, source repos, distribution archives, OSV, resolver output, and other places. Source repos are especially tricky because the main branch often does not match the release I\u2019m investigating.

\n\n

That led me to build peeq - a CLI for inspecting Python package metadata, dependencies, files, and versions from PyPI or private indexes, and known vulnerabilities via OSV, without installing or executing the package being inspected.

\n\n

Links:

\n\n

GitHub: https://github.com/MichaelYochpaz/peeq

\n\n

Docs: https://peeq.michaelyo.dev

\n\n

PyPI: https://pypi.org/project/peeq

\n\n

Example commands you can try (requires uv):

\n\n

uvx peeq info requests --full

\n\n

uvx peeq deps docling --version 2.20.0 --diff 2.30.0

\n\n

uvx peeq cat requests pyproject.toml

\n\n

uvx peeq vulns requests --version 2.31.0

\n\n

uvx peeq conflicts kubernetes==35.0.0a1 kfp==2.16.0

\n\n

uvx peeq why "flask>=3.0" -d markupsafe

\n\n

peeq is written for both humans and agents, and ships with a native Agent Skill.

\n\n

With the skill installed, coding agents can answer package questions by inspecting the published metadata/artifacts themselves instead of guessing from memory or installing packages.

\n\n

With peeq's skill installed, you can ask your agent questions in natural language like:

\n\n

- "Does `docling` depend on `pydantic`, and through which path?"

\n\n

- "Why can't `kubernetes==35.0.0a1` be installed together with `kfp==2.16.0`?"

\n\n

- "What changed in `docling` dependencies between versions 2.20.0 and 2.30.0?"

\n\n

- "Which build backend does the `httpx` Python package use?"

\n\n

Transparency note: The project relies heavily on AI coding agents for development. I\u2019m a Python software engineer and the maintainer of the project; design choices, code changes, docs, and releases are all manually reviewed and tested by me.

\n\n

Feedback (either here or on GitHub) is welcome!

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/oq8egkc/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780820743.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 2}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "ot36qxq", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "WompTitanium", "can_mod_post": false, "created_utc": 1782115044.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 2, "author_fullname": "t2_2agi8wikb3", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "Built a CLI tool that maps any codebase instantly, no API keys, fully offline\nJust run pip install codemappr then codemappr scan inside any project folder.\nIt detects 20+ project types (React, Django, Rust, Flutter, etc.) and gives you a full architecture breakdown in seconds. Outputs to terminal, Markdown, or HTML.\nNo setup, no API keys, no internet needed.\nGitHub: https://github.com/erensh27/CodeMappr[codemappr](https://github.com/erensh27/CodeMappr)", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_ot36qxq", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

Built a CLI tool that maps any codebase instantly, no API keys, fully offline\nJust run pip install codemappr then codemappr scan inside any project folder.\nIt detects 20+ project types (React, Django, Rust, Flutter, etc.) and gives you a full architecture breakdown in seconds. Outputs to terminal, Markdown, or HTML.\nNo setup, no API keys, no internet needed.\nGitHub: https://github.com/erensh27/CodeMappr[codemappr](https://github.com/erensh27/CodeMappr)

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/ot36qxq/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1782115044.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 2}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "ops17j6", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "iamnotafermiparadox", "can_mod_post": false, "created_utc": 1780604316.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 1, "author_fullname": "t2_fd5z8ffe", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "MailTriage is a local, batch-oriented IMAP email triage tool. \n\nThis tool allows me to generate an html page of email received over the last 24 hours and see the subject and snippet in a customized order. Priority senders are first, others are next, followed by a list of email sent by systems. Senders that I don't want to see are not listed. \n \nI added the ability to send certain email to a llm to be summarized. Those emails roll into a md file for todos. Once I mark the todo as done, the tool removes that entry and archives it.\n\nBitwarden CLI pull email credentials. Other methods could be used.\n\n[https://github.com/rogdooley/MailTriage](https://github.com/rogdooley/MailTriage)\n\nCodeGuage: CodeGauge is a deterministic, local-first code quality and security analysis platform. I had this built so I could monitor the \"quality\" of LLM generated code based on linters and static analysis tools.\n\n \n[https://github.com/rogdooley/CodeGauge](https://github.com/rogdooley/CodeGauge)", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_ops17j6", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

MailTriage is a local, batch-oriented IMAP email triage tool.

\n\n

This tool allows me to generate an html page of email received over the last 24 hours and see the subject and snippet in a customized order. Priority senders are first, others are next, followed by a list of email sent by systems. Senders that I don't want to see are not listed.

\n\n

I added the ability to send certain email to a llm to be summarized. Those emails roll into a md file for todos. Once I mark the todo as done, the tool removes that entry and archives it.

\n\n

Bitwarden CLI pull email credentials. Other methods could be used.

\n\n

https://github.com/rogdooley/MailTriage

\n\n

CodeGuage: CodeGauge is a deterministic, local-first code quality and security analysis platform. I had this built so I could monitor the "quality" of LLM generated code based on linters and static analysis tools.

\n\n

https://github.com/rogdooley/CodeGauge

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/ops17j6/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780604316.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 1}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": {"kind": "Listing", "data": {"after": null, "dist": null, "modhash": "", "geo_filter": "", "children": [{"kind": "more", "data": {"count": 6, "name": "t1_opuqgy8", "id": "opuqgy8", "parent_id": "t1_opt5ogy", "depth": 1, "children": ["opuqgy8"]}}], "before": null}}, "user_reports": [], "saved": false, "id": "opt5ogy", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "Charming_Guidance_76", "can_mod_post": false, "created_utc": 1780617021.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 1, "author_fullname": "t2_7t4cf11b", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "**EDOF, the document toolkit I wish had existed when I started**\n\nThis is one of those \"got fed up, built my own thing\" stories. I make card games, and at work I deal with a lot of document stuff (invoices, certificates, QR labels), and every tool I tried was missing exactly one thing I needed. One had no auto-shrink text. One had no curves. One had nice Photoshop-style effects but you couldn't script it. One couldn't even center text vertically in a box (still bitter about that one). I was tired of duct-taping three tools plus glue code together for every job, so I built EDOF. It took a while. It's on PyPI now.\n\n**What My Project Does**\n\nYou build a document in plain Python, or you open the same file in a visual editor (PyQt6) and drag things around. Both sides read and write the exact same file, so nothing gets lost going back and forth. The part I'm happiest with is that it's literally just `import edof`, so you can drop the whole engine into your own app. The editor I ship is just one program that happens to use it.\n\n import edof\n doc = edof.new(width=210, height=297, title=\"Hello\")\n page = doc.add_page(dpi=300)\n page.add_textbox(15, 15, 180, 12, \"Hello world!\")\n doc.export_pdf(\"hello.pdf\") # vector PDF, no extra deps\n \n\nI mostly use it for batch stuff: feed it a CSV, get a few hundred finished PDFs out. That's how I print my own card games now instead of fighting Photoshop layers at 2am. It does text, images, shapes, paths, QR codes, variables with {placeholders}, the auto-shrink and centering I kept missing elsewhere, and it exports to PDF, PNG, SVG and RTF. It can also read and write Word files now, which I'll get to.\n\n**Target Audience**\n\nMe first, honestly. But also anyone in Python who has to crank out documents (labels, invoices, certificates, cards, batch jobs from data), or who wants a document engine living inside their own app instead of bolting on a separate tool. It's MIT, it's on PyPI, I use it for real work. Fair warning on maturity: the core and the editor are solid, the Word part is new and basic, and tables are half-built, so don't lean on those yet.\n\n**Comparison**\n\nReportLab is great but it's code-only and you place everything by coordinates, there's no visual side to hand anyone. python-docx is perfect if you only ever touch Word. LaTeX is its own universe. And none of the visual tools (InDesign and friends) let you just import them into a Python script. EDOF is the in-between I wanted: write it in code or edit it by hand, same file, and embed it anywhere.\n\nThe Word support nearly broke me, by the way. New and genuine respect for whoever maintains .docx tooling for a living. It's basic both directions for now, and it straight up tells you what it can't carry over instead of silently mangling your document.\n\nRepo's here if you want to poke at it: [https://github.com/DavidSchobl/edof](https://github.com/DavidSchobl/edof) . Happy to answer anything, and I'm genuinely after ideas for what to add next.", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_opt5ogy", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

EDOF, the document toolkit I wish had existed when I started

\n\n

This is one of those "got fed up, built my own thing" stories. I make card games, and at work I deal with a lot of document stuff (invoices, certificates, QR labels), and every tool I tried was missing exactly one thing I needed. One had no auto-shrink text. One had no curves. One had nice Photoshop-style effects but you couldn't script it. One couldn't even center text vertically in a box (still bitter about that one). I was tired of duct-taping three tools plus glue code together for every job, so I built EDOF. It took a while. It's on PyPI now.

\n\n

What My Project Does

\n\n

You build a document in plain Python, or you open the same file in a visual editor (PyQt6) and drag things around. Both sides read and write the exact same file, so nothing gets lost going back and forth. The part I'm happiest with is that it's literally just import edof, so you can drop the whole engine into your own app. The editor I ship is just one program that happens to use it.

\n\n
import edof\ndoc  = edof.new(width=210, height=297, title="Hello")\npage = doc.add_page(dpi=300)\npage.add_textbox(15, 15, 180, 12, "Hello world!")\ndoc.export_pdf("hello.pdf")   # vector PDF, no extra deps\n
\n\n

I mostly use it for batch stuff: feed it a CSV, get a few hundred finished PDFs out. That's how I print my own card games now instead of fighting Photoshop layers at 2am. It does text, images, shapes, paths, QR codes, variables with {placeholders}, the auto-shrink and centering I kept missing elsewhere, and it exports to PDF, PNG, SVG and RTF. It can also read and write Word files now, which I'll get to.

\n\n

Target Audience

\n\n

Me first, honestly. But also anyone in Python who has to crank out documents (labels, invoices, certificates, cards, batch jobs from data), or who wants a document engine living inside their own app instead of bolting on a separate tool. It's MIT, it's on PyPI, I use it for real work. Fair warning on maturity: the core and the editor are solid, the Word part is new and basic, and tables are half-built, so don't lean on those yet.

\n\n

Comparison

\n\n

ReportLab is great but it's code-only and you place everything by coordinates, there's no visual side to hand anyone. python-docx is perfect if you only ever touch Word. LaTeX is its own universe. And none of the visual tools (InDesign and friends) let you just import them into a Python script. EDOF is the in-between I wanted: write it in code or edit it by hand, same file, and embed it anywhere.

\n\n

The Word support nearly broke me, by the way. New and genuine respect for whoever maintains .docx tooling for a living. It's basic both directions for now, and it straight up tells you what it can't carry over instead of silently mangling your document.

\n\n

Repo's here if you want to poke at it: https://github.com/DavidSchobl/edof . Happy to answer anything, and I'm genuinely after ideas for what to add next.

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/opt5ogy/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780617021.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 1}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "opul15z", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "Pytrithon", "can_mod_post": false, "created_utc": 1780636699.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 1, "author_fullname": "t2_yzvpcs5sb", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "## Introduction\n\nI have already introduced Pytrithon three times on Reddit.\nSee:\n\nhttps://www.reddit.com/r/Python/comments/1q8dwsm/pytrithon_v119_graphical_petri_net_inspired_agent/\nhttps://www.reddit.com/r/Python/comments/1nr3qvm/pytrithon_graphical_petrinet_inspired_agent/\nhttps://www.reddit.com/r/Python/comments/1mx9w5r/graphical_petrinet_inspired_agent_oriented/\n\n## What My Project Does\n\nPytrithon is a graphical Petri net inspired agent oriented programming language based on Python.\nIt allows writing code as a two dimensional graph of interconnected elements and separates data as Places and code as Transitions. Inter Agent communication and GUI widgets are first class components of the language. Through the Monipulator, Agents can be monitored and manipulated.\n\n## Target Audience\n\nThe target audience is both experienced and novice programmers who want to try something new.\n\n## Why I Built It\n\nI realized the power of Petri net inspired programming and the joy of having a more expressive way to specify control flow.\n\n## Comparison\n\nThere are no other visual programming languages which embed actual code into their graphs.\n\n## How To Explore\n\nTo run all included example Agents you need at least Python 3.10 installed. To install all dependencies, run the 'install' script. Then you can start up a Nexus with a Monipulator by running the 'pytrithon' script, where you can start Agents through opening them with 'crtl-o' twice and hitting the 'Open Agent' button. You can also directly specify which Agents to run through the command line by starting a Nexus, Monipulator, and Agents in one single command: 'python nexus -m \\ \\'.\n\nRecommended example Agents to run are: 'basic', 'prodcons', 'address', 'kata', 'calculator', 'kniffel', 'guess', 'yahtzeeserver' + multiple 'yahtzee', 'pokerserver' + multiple 'poker', 'chatserver' + multiple 'chat', 'image', 'jobapplic', and 'nethods'. As a proof of concept, I created a whole Pygame game, TMWOTY2, which is choreographed by 6 Agents as their own processes, which runs at a solid 60 frames per second. To start or open TMWOTY2 in the Monipulator, run the 'tmwoty2' or 'edittmwoty2' script. Your focus should on the 'workbench' folder, which contains all Agents and their respective Python modules; the 'Pytrithon' folder is just the backstage where the magic happens.\n\n## What Is New\n\nSince my last post the whole system now handles Agents, Monipulators, and Nexi terminating from the network. Bookkeeping is performed, cleansing the internal structures handling all process types, making the prototype more resilient. The 'chatserver' and 'chat' Agents now show a list of Agents currently connected. This is enabled through the new 'Event' Transition, which pushes Nexus Events to all listening Agents.\n\nSince my penultimate post I have added a distributed Yahtzee game which you should try out. In order to setup a server on a reachable machine and connect other machines, you need to do the following:\nOn the machine meant to be the server, run 'python nexus yahtzeeserver' first. Then on the machines meant to be the clients through which users play, run 'python nexus -x \\ yahtzee'. The clients probe the interconnected Nexi for a server and start with a lobby mask where you can select your name and start a game with all players signed up.\n\n## GitHub Link\n\nhttps://github.com/JochenSimon/pytrithon\n\n-------\n\nThis is the fifth post about Pytrithon on Reddit. There is a plethora of example Agents to view and run included in the repository.\nPlease check it out and send feedback to the E-Mail address stated in the Monipulator About blurb.\nI plan on putting Pytrithon onto the next level soon. Be sure to check for new happenings.", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_opul15z", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

Introduction

\n\n

I have already introduced Pytrithon three times on Reddit.\nSee:

\n\n

https://www.reddit.com/r/Python/comments/1q8dwsm/pytrithon_v119_graphical_petri_net_inspired_agent/\nhttps://www.reddit.com/r/Python/comments/1nr3qvm/pytrithon_graphical_petrinet_inspired_agent/\nhttps://www.reddit.com/r/Python/comments/1mx9w5r/graphical_petrinet_inspired_agent_oriented/

\n\n

What My Project Does

\n\n

Pytrithon is a graphical Petri net inspired agent oriented programming language based on Python.\nIt allows writing code as a two dimensional graph of interconnected elements and separates data as Places and code as Transitions. Inter Agent communication and GUI widgets are first class components of the language. Through the Monipulator, Agents can be monitored and manipulated.

\n\n

Target Audience

\n\n

The target audience is both experienced and novice programmers who want to try something new.

\n\n

Why I Built It

\n\n

I realized the power of Petri net inspired programming and the joy of having a more expressive way to specify control flow.

\n\n

Comparison

\n\n

There are no other visual programming languages which embed actual code into their graphs.

\n\n

How To Explore

\n\n

To run all included example Agents you need at least Python 3.10 installed. To install all dependencies, run the 'install' script. Then you can start up a Nexus with a Monipulator by running the 'pytrithon' script, where you can start Agents through opening them with 'crtl-o' twice and hitting the 'Open Agent' button. You can also directly specify which Agents to run through the command line by starting a Nexus, Monipulator, and Agents in one single command: 'python nexus -m <agent1> <agent2>'.

\n\n

Recommended example Agents to run are: 'basic', 'prodcons', 'address', 'kata', 'calculator', 'kniffel', 'guess', 'yahtzeeserver' + multiple 'yahtzee', 'pokerserver' + multiple 'poker', 'chatserver' + multiple 'chat', 'image', 'jobapplic', and 'nethods'. As a proof of concept, I created a whole Pygame game, TMWOTY2, which is choreographed by 6 Agents as their own processes, which runs at a solid 60 frames per second. To start or open TMWOTY2 in the Monipulator, run the 'tmwoty2' or 'edittmwoty2' script. Your focus should on the 'workbench' folder, which contains all Agents and their respective Python modules; the 'Pytrithon' folder is just the backstage where the magic happens.

\n\n

What Is New

\n\n

Since my last post the whole system now handles Agents, Monipulators, and Nexi terminating from the network. Bookkeeping is performed, cleansing the internal structures handling all process types, making the prototype more resilient. The 'chatserver' and 'chat' Agents now show a list of Agents currently connected. This is enabled through the new 'Event' Transition, which pushes Nexus Events to all listening Agents.

\n\n

Since my penultimate post I have added a distributed Yahtzee game which you should try out. In order to setup a server on a reachable machine and connect other machines, you need to do the following:\nOn the machine meant to be the server, run 'python nexus yahtzeeserver' first. Then on the machines meant to be the clients through which users play, run 'python nexus -x <serveraddress> yahtzee'. The clients probe the interconnected Nexi for a server and start with a lobby mask where you can select your name and start a game with all players signed up.

\n\n

GitHub Link

\n\n

https://github.com/JochenSimon/pytrithon

\n\n
\n\n

This is the fifth post about Pytrithon on Reddit. There is a plethora of example Agents to view and run included in the repository.\nPlease check it out and send feedback to the E-Mail address stated in the Monipulator About blurb.\nI plan on putting Pytrithon onto the next level soon. Be sure to check for new happenings.

\n
", "removal_reason": null, "collapsed_reason": null, "distinguished": null, "associated_award": null, "stickied": false, "author_premium": false, "can_gild": false, "gildings": {}, "unrepliable_reason": null, "author_flair_text_color": null, "score_hidden": false, "permalink": "/r/Python/comments/1tws1w7/showcase_thread/opul15z/", "subreddit_type": "public", "locked": false, "report_reasons": null, "created": 1780636699.0, "author_flair_text": null, "treatment_tags": [], "link_id": "t3_1tws1w7", "subreddit_name_prefixed": "r/Python", "controversiality": 0, "depth": 0, "author_flair_background_color": null, "collapsed_because_crowd_control": null, "mod_reports": [], "num_reports": null, "ups": 1}}, {"kind": "t1", "data": {"subreddit_id": "t5_2qh0y", "approved_at_utc": null, "author_is_blocked": false, "comment_type": null, "awarders": [], "mod_reason_by": null, "banned_by": null, "author_flair_type": "text", "total_awards_received": 0, "subreddit": "Python", "author_flair_template_id": null, "likes": null, "replies": "", "user_reports": [], "saved": false, "id": "opuw6vu", "banned_at_utc": null, "mod_reason_title": null, "gilded": 0, "archived": false, "collapsed_reason_code": null, "no_follow": true, "author": "AdHot6282", "can_mod_post": false, "created_utc": 1780642079.0, "send_replies": true, "parent_id": "t3_1tws1w7", "score": 1, "author_fullname": "t2_p6h1483kx", "approved_by": null, "mod_note": null, "all_awardings": [], "collapsed": false, "body": "LocalClicky is a menubar app that lets you control your Mac with your voice, completely offline. \n \n \nSay \"Computer\" to start a session. It stays active - chain commands without repeating the wake word. Say \"bye\" to end. It auto-stops recording when you stop talking (webrtcvad), so there's no fixed timeout. \n \n \nWhat it can do: click things on your screen by name, open/quit apps, control Spotify and volume, create reminders from natural language, run shell commands, inject JS into Chrome. Vision is on-demand \u2014 the model calls look\\_at\\_screen itself when it needs to see something.\n\nOne thing that pushed me to build this: I noticed most people don't think twice before enabling cloud based AI assistants on their machines. But these tools are taking full screenshots of your screen, your code, your emails, your Figma files, your bank statements, your personal moment and sending them to a server. I don't like that at all. LocalClicky's vision model runs locally; screenshots never leave your machine.\n\n \nStack: Python, Whisper.cpp, Ollama (qwen3:8b + gemma4:e4b), webrtcvad, PyAutoGUI, rumps. \n \n \nNothing leaves your machine. MIT licensed, open source. \n \n \nGitHub: [https://github.com/dikshantrajput/LocalClicky](https://github.com/dikshantrajput/LocalClicky) \nDemo: [https://www.youtube.com/watch?v=i8QpFR6nEY4](https://www.youtube.com/watch?v=i8QpFR6nEY4)", "edited": false, "top_awarded_type": null, "author_flair_css_class": null, "name": "t1_opuw6vu", "is_submitter": false, "downs": 0, "author_flair_richtext": [], "author_patreon_flair": false, "body_html": "

LocalClicky is a menubar app that lets you control your Mac with your voice, completely offline.

\n\n

Say "Computer" to start a session. It stays active - chain commands without repeating the wake word. Say "bye" to end. It auto-stops recording when you stop talking (webrtcvad), so there's no fixed timeout.

\n\n

What it can do: click things on your screen by name, open/quit apps, control Spotify and volume, create reminders from natural language, run shell commands, inject JS into Chrome. Vision is on-demand \u2014 the model calls look_at_screen itself when it needs to see something.

\n\n

One thing that pushed me to build this: I noticed most people don't think twice before enabling cloud based AI assistants on their machines. But these tools are taking full screenshots of your screen, your code, your emails, your Figma files, your bank statements, your personal moment and sending them to a server. I don't like that at all. LocalClicky's vision model runs locally; screenshots never leave your machine.

\n\n

Stack: Python, Whisper.cpp, Ollama (qwen3:8b + gemma4:e4b), webrtcvad, PyAutoGUI, rumps.

\n\n

Nothing leaves your machine. MIT licensed, open source.

\n\n

GitHub: https://github.com/dikshantrajput/LocalClicky
\nDemo: https://www.youtube.com/watch?v=i8QpFR6nEY4

\n
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Fake sessions drive the ``loid`` warm-up + rotate-on-block + backoff +paths deterministically (in live runs the first IP warms and returns 200s, so +these branches rarely fire). Mirrors the youtube sibling's +``test_fetch_resilience.py`` shape, extended with a fake warm-up. +""" + +from __future__ import annotations + +import json +from collections.abc import AsyncIterator + +from app.proprietary.platforms.reddit import fetch, scraper +from app.proprietary.platforms.reddit.fetch import ( + RedditAccessBlockedError, + _current_session, + fetch_json, +) + +_LISTING = {"kind": "Listing", "data": {"children": [], "after": None}} + + +class _FakePage: + def __init__(self, status: int, *, cookies: dict | None = None, payload=None): + self.status = status + self.cookies = cookies or {} + self._payload = payload if payload is not None else _LISTING + + def json(self): + return self._payload + + @property + def body(self) -> str: + return json.dumps(self._payload) + + +class _FakeSession: + """One 'IP': warm-up mints loid per flags; ``.json`` GETs return ``status``.""" + + def __init__( + self, + status: int = 200, + *, + shreddit_loid: bool = True, + old_loid: bool = False, + payload=None, + ) -> None: + self.status = status + self.shreddit_loid = shreddit_loid + self.old_loid = old_loid + self.payload = payload + self.json_calls = 0 + self.warm_calls = 0 + + async def get(self, url, headers=None, cookies=None): + if "svc/shreddit" in url: + self.warm_calls += 1 + ck = {"loid": "x", "session_tracker": "y"} if self.shreddit_loid else {} + return _FakePage(200, cookies=ck) + if "old.reddit.com" in url: + self.warm_calls += 1 + return _FakePage(200, cookies={"loid": "x"} if self.old_loid else {}) + self.json_calls += 1 + return _FakePage(self.status, payload=self.payload) + + +class _FakeHolder: + """Holder whose ``rotate()`` advances to the next fake session (a new IP).""" + + def __init__(self, sessions: list[_FakeSession]) -> None: + self._sessions = sessions + self.session = sessions[0] + self.rotations = 0 + self.warmed = False + + async def rotate(self): + self.rotations += 1 + self.session = self._sessions[min(self.rotations, len(self._sessions) - 1)] + self.warmed = False # loid binds to the IP: re-warm on the fresh one + return self.session + + async def pace(self) -> None: + return None + + async def close(self) -> None: + return None + + +def _no_sleep(monkeypatch) -> None: + async def _noop(_seconds): + return None + + monkeypatch.setattr(fetch.asyncio, "sleep", _noop) + + +async def test_warms_then_returns_json(): + # shreddit is tried first and mints loid -> a single warm call. + holder = _FakeHolder([_FakeSession(200, shreddit_loid=True)]) + token = _current_session.set(holder) + try: + result = await fetch_json("r/python/hot") + finally: + _current_session.reset(token) + assert result == _LISTING + assert holder.rotations == 0 + assert holder.session.warm_calls == 1 # warmed exactly once + + +async def test_warm_falls_back_to_old_reddit(): + # shreddit doesn't mint loid, old.reddit does -> still warms on the same IP. + holder = _FakeHolder([_FakeSession(200, shreddit_loid=False, old_loid=True)]) + token = _current_session.set(holder) + try: + result = await fetch_json("r/python/hot") + finally: + _current_session.reset(token) + assert result == _LISTING + assert holder.rotations == 0 + + +async def test_rotates_when_warm_fails_then_succeeds(): + # IP0 can't mint loid at all -> rotate; IP1 warms fine. + holder = _FakeHolder( + [ + _FakeSession(200, shreddit_loid=False, old_loid=False), + _FakeSession(200, shreddit_loid=True), + ] + ) + token = _current_session.set(holder) + try: + result = await fetch_json("r/python/hot") + finally: + _current_session.reset(token) + assert result == _LISTING + assert holder.rotations == 1 + + +async def test_raises_when_no_ip_can_warm(): + holder = _FakeHolder( + [ + _FakeSession(200, shreddit_loid=False, old_loid=False) + for _ in range(fetch._MAX_ROTATIONS + 1) + ] + ) + token = _current_session.set(holder) + try: + raised = False + try: + await fetch_json("r/python/hot") + except RedditAccessBlockedError: + raised = True + finally: + _current_session.reset(token) + assert raised + assert holder.rotations == fetch._MAX_ROTATIONS + + +async def test_rotates_and_rewarms_on_403(): + holder = _FakeHolder([_FakeSession(403), _FakeSession(200, old_loid=True)]) + token = _current_session.set(holder) + try: + result = await fetch_json("r/python/hot") + finally: + _current_session.reset(token) + assert result == _LISTING + assert holder.rotations == 1 + assert holder.session.warm_calls == 1 # re-warmed on the fresh IP + + +async def test_404_returns_none_without_rotating(): + holder = _FakeHolder([_FakeSession(404), _FakeSession(200)]) + token = _current_session.set(holder) + try: + result = await fetch_json("r/python/comments/missing") + finally: + _current_session.reset(token) + assert result is None + assert holder.rotations == 0 + + +async def test_429_backs_off_without_rotating(monkeypatch): + _no_sleep(monkeypatch) + # Same IP: 429 first, then a healthy 200 on retry (no rotation). + session = _FakeSession(429) + + async def _get(url, headers=None, cookies=None): + if "svc/shreddit" in url or "old.reddit.com" in url: + session.warm_calls += 1 + return _FakePage(200, cookies={"loid": "x"}) + session.json_calls += 1 + return _FakePage(429 if session.json_calls == 1 else 200) + + session.get = _get # type: ignore[method-assign] + holder = _FakeHolder([session]) + token = _current_session.set(holder) + try: + result = await fetch_json("r/python/hot") + finally: + _current_session.reset(token) + assert result == _LISTING + assert holder.rotations == 0 + + +async def test_persistent_403_raises_blocked(monkeypatch): + _no_sleep(monkeypatch) + holder = _FakeHolder([_FakeSession(403) for _ in range(fetch._MAX_ROTATIONS + 1)]) + token = _current_session.set(holder) + try: + raised = False + try: + await fetch_json("r/python/hot") + except RedditAccessBlockedError: + raised = True + finally: + _current_session.reset(token) + assert raised + assert holder.rotations == fetch._MAX_ROTATIONS + + +class _TrackingHolder: + """Fake fan-out session holder that records whether it was closed.""" + + def __init__(self) -> None: + self.closed = False + + async def close(self) -> None: + self.closed = True + + +async def test_fan_out_closes_all_sessions_on_early_stop(monkeypatch): + holders: list[_TrackingHolder] = [] + + async def _fake_open(): + h = _TrackingHolder() + holders.append(h) + return h + + from contextlib import asynccontextmanager + + @asynccontextmanager + async def _fake_bind(_holder): + yield _holder + + monkeypatch.setattr(scraper, "open_proxy_holder", _fake_open) + monkeypatch.setattr(scraper, "bind_proxy_holder", _fake_bind) + + async def _job(n: int) -> AsyncIterator[dict]: + for i in range(5): + yield {"job": n, "i": i} + + jobs = [_job(n) for n in range(20)] + gen = scraper.fan_out(jobs, concurrency=4) + collected = [] + async for item in gen: + collected.append(item) + if len(collected) >= 3: + break + await gen.aclose() + + assert len(collected) >= 3 + assert holders, "workers should have opened sessions" + assert all(h.closed for h in holders), "a worker leaked its proxy session" + + +async def test_fan_out_empty_jobs_is_noop(): + out = [x async for x in scraper.fan_out([])] + assert out == [] diff --git a/surfsense_backend/tests/unit/platforms/reddit/test_parsers.py b/surfsense_backend/tests/unit/platforms/reddit/test_parsers.py new file mode 100644 index 000000000..77f1312a4 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/reddit/test_parsers.py @@ -0,0 +1,182 @@ +"""Offline parser tests for the Reddit scraper. + +Two layers: +- Synthetic, deterministic checks of the JSON->item mapping (hand-built minimal + "things" — no live Reddit shapes), which run always. +- Fixture-pinned checks against real ``.json`` captured by + ``scripts/e2e_reddit_scraper.py`` into ``fixtures/``; these ``skip`` when the + fixtures are absent (mirrors the youtube sibling). Fill in richer assertions + against the captured shapes during implementation. +""" + +from __future__ import annotations + +import json +from pathlib import Path + +import pytest + +from app.proprietary.platforms.reddit.parsers import ( + after, + children, + flatten_comments, + parse_comment, + parse_community, + parse_post, +) + +_FIXTURE_DIR = Path(__file__).parent / "fixtures" + + +# --- synthetic mapping (always runs) --------------------------------------- + + +def test_parse_post_maps_core_fields(): + thing = { + "kind": "t3", + "data": { + "name": "t3_x", + "id": "x", + "author": "alice", + "author_fullname": "t2_a", + "title": "Hello", + "selftext": "body text", + "permalink": "/r/py/comments/x/hello/", + "subreddit": "py", + "subreddit_name_prefixed": "r/py", + "num_comments": 3, + "score": 42, + "upvote_ratio": 0.97, + "over_18": False, + "is_self": True, + "created_utc": 1_700_000_000, + "thumbnail": "self", + }, + } + item = parse_post(thing) + assert item["dataType"] == "post" + assert item["id"] == "t3_x" + assert item["parsedId"] == "x" + assert item["url"] == "https://www.reddit.com/r/py/comments/x/hello/" + assert item["upVotes"] == 42 + assert item["numberOfComments"] == 3 + assert item["thumbnailUrl"] is None # 'self' sentinel is not a URL + assert item["createdAt"] == "2023-11-14T22:13:20.000Z" + + +def test_parse_comment_strips_link_prefix(): + thing = { + "kind": "t1", + "data": { + "name": "t1_c", + "id": "c", + "body": "a comment", + "link_id": "t3_x", + "parent_id": "t3_x", + "created_utc": 1_700_000_000, + }, + } + item = parse_comment(thing) + assert item["dataType"] == "comment" + assert item["postId"] == "x" # t3_ prefix stripped + assert item["parentId"] == "t3_x" + + +def test_flatten_comments_counts_replies_and_stops_at_more(): + tree = [ + { + "kind": "t1", + "data": { + "name": "t1_1", + "id": "1", + "body": "top", + "created_utc": 1, + "replies": { + "kind": "Listing", + "data": { + "children": [ + { + "kind": "t1", + "data": { + "name": "t1_2", + "id": "2", + "body": "reply", + "replies": "", + }, + }, + {"kind": "more", "data": {}}, # stub -> ignored + ] + }, + }, + }, + } + ] + flat = flatten_comments(tree, max_comments=10) + assert len(flat) == 2 # the 'more' stub is skipped + assert flat[0]["numberOfReplies"] == 1 + assert [c["depth"] for c in flat] == [0, 1] + + +def test_flatten_comments_honors_max(): + tree = [ + { + "kind": "t1", + "data": {"name": f"t1_{i}", "id": str(i), "body": "x", "replies": ""}, + } + for i in range(5) + ] + assert len(flatten_comments(tree, max_comments=2)) == 2 + + +def test_children_and_after(): + listing = {"kind": "Listing", "data": {"children": [1, 2, 3], "after": "t3_next"}} + assert children(listing) == [1, 2, 3] + assert after(listing) == "t3_next" + assert children({}) == [] + assert after({"data": {"after": None}}) is None + + +def test_parse_community_maps_members(): + thing = { + "kind": "t5", + "data": { + "name": "t5_s", + "id": "s", + "display_name": "py", + "display_name_prefixed": "r/py", + "subscribers": 1234, + "url": "/r/py/", + }, + } + item = parse_community(thing) + assert item["dataType"] == "community" + assert item["numberOfMembers"] == 1234 + assert item["url"] == "https://www.reddit.com/r/py/" + + +# --- fixture-pinned (skips until e2e captures real .json) ------------------ + + +def _load(name: str): + path = _FIXTURE_DIR / name + if not path.exists(): + pytest.skip(f"fixture {name} not captured yet (run e2e_reddit_scraper.py)") + return json.loads(path.read_text(encoding="utf-8")) + + +def test_parse_captured_post_fixture_if_present(): + data = _load("sample_post.json") + # sample_post.json is the [postListing, commentsListing] .json shape. + post_children = children(data[0]) if isinstance(data, list) else [] + assert post_children, "captured post fixture has no post child" + item = parse_post(post_children[0]) + assert item["dataType"] == "post" + assert item["id"] + + +def test_parse_captured_listing_fixture_if_present(): + listing = _load("sample_listing.json") + kids = children(listing) + assert kids, "captured listing fixture is empty" + posts = [parse_post(c) for c in kids if c.get("kind") == "t3"] + assert posts, "no t3 posts in captured listing" diff --git a/surfsense_backend/tests/unit/platforms/reddit/test_search_budget.py b/surfsense_backend/tests/unit/platforms/reddit/test_search_budget.py new file mode 100644 index 000000000..ce58199c8 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/reddit/test_search_budget.py @@ -0,0 +1,69 @@ +"""Offline tests for multi-search budgeting in ``iter_reddit``. + +No network: ``_search_flow`` is faked. Asserts the maxItems budget is +fair-shared across concurrent searches (a noisy query can't starve the rest) +and that the same post surfacing via several queries is emitted once. +""" + +from __future__ import annotations + +from collections.abc import AsyncIterator + +from app.proprietary.platforms.reddit import scraper +from app.proprietary.platforms.reddit.schemas import RedditScrapeInput + + +def _fake_search_flow(results_by_query: dict[str, list[str]]): + """Fake flow yielding post dicts (id per entry), honoring ``max_items``.""" + calls: dict[str, int] = {} + + def flow( + query: str, + *, + input_model: RedditScrapeInput, + subreddit: str | None = None, + max_items: int | None = None, + ) -> AsyncIterator[dict]: + cap = input_model.maxItems if max_items is None else max_items + calls[query] = cap + + async def gen() -> AsyncIterator[dict]: + for pid in results_by_query.get(query, [])[:cap]: + yield {"dataType": "post", "id": pid, "title": pid} + + return gen() + + return flow, calls + + +async def test_budget_is_fair_shared_across_searches(monkeypatch): + # One noisy query with 100 hits must not starve the two precise ones. + data = { + "noisy": [f"n{i}" for i in range(100)], + "precise_a": ["a1", "a2", "a3"], + "precise_b": ["b1", "b2"], + } + flow, calls = _fake_search_flow(data) + monkeypatch.setattr(scraper, "_search_flow", flow) + + model = RedditScrapeInput(searches=list(data), maxItems=30) + items = await scraper.scrape_reddit(model, limit=30) + + ids = {i["id"] for i in items} + # Every precise result made it in; noisy filled only its ceil(30/3)=10 share. + assert {"a1", "a2", "a3", "b1", "b2"} <= ids + assert sum(1 for i in ids if i.startswith("n")) == 10 + assert all(cap == 10 for cap in calls.values()) + + +async def test_duplicate_posts_across_searches_emit_once(monkeypatch): + data = {"q1": ["dup", "x1"], "q2": ["dup", "x2"]} + flow, _ = _fake_search_flow(data) + monkeypatch.setattr(scraper, "_search_flow", flow) + + model = RedditScrapeInput(searches=["q1", "q2"], maxItems=10) + items = await scraper.scrape_reddit(model, limit=10) + + ids = [i["id"] for i in items] + assert ids.count("dup") == 1 + assert {"x1", "x2"} <= set(ids) diff --git a/surfsense_backend/tests/unit/platforms/reddit/test_skeleton.py b/surfsense_backend/tests/unit/platforms/reddit/test_skeleton.py new file mode 100644 index 000000000..bec5e5127 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/reddit/test_skeleton.py @@ -0,0 +1,73 @@ +"""Offline schema + URL-resolver tests for the Reddit scraper. + +Deterministic (no network, no live Reddit shapes): asserts the anonymous-only +input surface, the flat item serialization contract, and URL classification. +""" + +from __future__ import annotations + +from app.proprietary.platforms.reddit.schemas import RedditItem, RedditScrapeInput +from app.proprietary.platforms.reddit.url_resolver import resolve_url + + +def test_input_has_no_auth_fields(): + # Anonymous-only: no auth-shaped field may exist on the input surface. + forbidden = {"username", "password", "token", "login", "auth", "credentials"} + assert forbidden.isdisjoint(RedditScrapeInput.model_fields) + + +def test_input_defaults(): + model = RedditScrapeInput() + assert model.sort == "new" + assert model.includeNSFW is True + assert model.maxItems == 10 + assert model.startUrls == [] + assert model.searches == [] + + +def test_input_allows_extra_inert_fields(): + # extra="allow": unknown inert fields are accepted, not rejected. + model = RedditScrapeInput(debugMode=True, proxy={"provider": "custom"}) + assert model.model_dump().get("debugMode") is True + + +def test_item_to_output_keeps_none_keys(): + out = RedditItem(dataType="post", id="t3_x").to_output() + assert out["dataType"] == "post" + assert out["id"] == "t3_x" + assert "numberOfComments" in out # unsourced fields still present (None) + assert out["numberOfComments"] is None + + +def test_resolve_post(): + r = resolve_url("https://www.reddit.com/r/python/comments/abc123/some_title/") + assert r is not None + assert r.kind == "post" + assert r.value == "abc123" + assert r.subreddit == "python" + + +def test_resolve_subreddit_with_and_without_sort(): + bare = resolve_url("https://www.reddit.com/r/python") + assert bare is not None and bare.kind == "subreddit" and bare.sort is None + sorted_ = resolve_url("https://www.reddit.com/r/python/top") + assert sorted_ is not None and sorted_.sort == "top" + + +def test_resolve_user_tabs(): + overview = resolve_url("https://www.reddit.com/user/spez") + assert overview is not None and overview.kind == "user" and overview.content is None + comments = resolve_url("https://www.reddit.com/u/spez/comments") + assert comments is not None and comments.content == "comments" + + +def test_resolve_search_global_and_in_sub(): + global_ = resolve_url("https://www.reddit.com/search/?q=hello") + assert global_ is not None and global_.kind == "search" and global_.value == "hello" + in_sub = resolve_url("https://www.reddit.com/r/python/search/?q=async") + assert in_sub is not None and in_sub.subreddit == "python" + + +def test_resolve_rejects_non_reddit_host(): + assert resolve_url("https://example.com/r/python") is None + assert resolve_url("https://notreddit.com/user/x") is None diff --git a/surfsense_backend/tests/unit/platforms/youtube/__init__.py b/surfsense_backend/tests/unit/platforms/youtube/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/platforms/youtube/test_fetch_resilience.py b/surfsense_backend/tests/unit/platforms/youtube/test_fetch_resilience.py new file mode 100644 index 000000000..9f20271be --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/youtube/test_fetch_resilience.py @@ -0,0 +1,201 @@ +"""Offline resilience tests for the fetch seam and fan-out worker pool. + +No network. Stubs the proxy session so the rotate-on-block path (which never +fires in practice because live runs return 200s) is exercised deterministically, +and asserts the worker pool closes every session when the consumer stops early. +""" + +from __future__ import annotations + +from collections.abc import AsyncIterator + +from app.proprietary.platforms.youtube import innertube, scraper +from app.proprietary.platforms.youtube.innertube import ( + INNERTUBE_SEARCH_URL, + _current_session, + fetch_html, + post_innertube, +) + + +class _FakePage: + def __init__(self, status: int) -> None: + self.status = status + + def json(self) -> dict: + return {"status": self.status} + + @property + def html_content(self) -> str: + return "ok" + + +class _FakeSession: + """One 'IP': returns ``status`` for every request, or raises if ``exc``.""" + + def __init__(self, status: int = 200, *, exc: bool = False) -> None: + self.status = status + self.exc = exc + self.calls = 0 + + async def post(self, url, json=None): + self.calls += 1 + if self.exc: + raise ConnectionError("boom") + return _FakePage(self.status) + + async def get(self, url, headers=None, cookies=None): + self.calls += 1 + if self.exc: + raise ConnectionError("boom") + return _FakePage(self.status) + + +class _FakeHolder: + """Holder whose ``rotate()`` advances to the next fake session (a new IP).""" + + def __init__(self, sessions: list[_FakeSession]) -> None: + self._sessions = sessions + self.session = sessions[0] + self.rotations = 0 + + async def rotate(self): + self.rotations += 1 + self.session = self._sessions[min(self.rotations, len(self._sessions) - 1)] + return self.session + + +def _payload() -> dict: + return {"context": {}} + + +async def test_post_rotates_on_429_then_succeeds(): + holder = _FakeHolder([_FakeSession(429), _FakeSession(200)]) + token = _current_session.set(holder) + try: + result = await post_innertube(INNERTUBE_SEARCH_URL, _payload()) + finally: + _current_session.reset(token) + assert result == {"status": 200} + assert holder.rotations == 1 # rotated exactly once to the healthy IP + + +async def test_post_rotates_on_connection_error_then_succeeds(): + holder = _FakeHolder([_FakeSession(exc=True), _FakeSession(200)]) + token = _current_session.set(holder) + try: + result = await post_innertube(INNERTUBE_SEARCH_URL, _payload()) + finally: + _current_session.reset(token) + assert result == {"status": 200} + assert holder.rotations == 1 + + +async def test_post_gives_up_after_max_rotations(): + # Every IP is blocked -> rotate up to the cap, then return None. + holder = _FakeHolder( + [_FakeSession(429) for _ in range(innertube._MAX_ROTATIONS + 1)] + ) + token = _current_session.set(holder) + try: + result = await post_innertube(INNERTUBE_SEARCH_URL, _payload()) + finally: + _current_session.reset(token) + assert result is None + assert holder.rotations == innertube._MAX_ROTATIONS + + +async def test_post_does_not_rotate_on_non_block_status(): + # 404 is not a block: fail fast, no wasted IP rotations. + holder = _FakeHolder([_FakeSession(404), _FakeSession(200)]) + token = _current_session.set(holder) + try: + result = await post_innertube(INNERTUBE_SEARCH_URL, _payload()) + finally: + _current_session.reset(token) + assert result is None + assert holder.rotations == 0 + + +async def test_fetch_html_rotates_then_succeeds(): + holder = _FakeHolder([_FakeSession(403), _FakeSession(200)]) + token = _current_session.set(holder) + try: + html = await fetch_html("https://www.youtube.com/watch?v=abc") + finally: + _current_session.reset(token) + assert html == "ok" + assert holder.rotations == 1 + + +async def test_fetch_html_falls_back_to_stealthy_when_all_blocked(monkeypatch): + called: dict[str, str] = {} + + async def _fake_stealthy(url: str): + called["url"] = url + return "stealthy" + + monkeypatch.setattr(innertube, "_fetch_html_stealthy", _fake_stealthy) + holder = _FakeHolder( + [_FakeSession(429) for _ in range(innertube._MAX_ROTATIONS + 1)] + ) + token = _current_session.set(holder) + try: + html = await fetch_html("https://www.youtube.com/watch?v=zzz") + finally: + _current_session.reset(token) + assert html == "stealthy" + assert called["url"].endswith("v=zzz") + + +class _TrackingHolder: + """Fake fan-out session holder that records whether it was closed.""" + + def __init__(self) -> None: + self.closed = False + + async def close(self) -> None: + self.closed = True + + +async def test_fan_out_closes_all_sessions_on_early_stop(monkeypatch): + holders: list[_TrackingHolder] = [] + + async def _fake_open(): + h = _TrackingHolder() + holders.append(h) + return h + + # No real session binding needed; jobs just yield. + from contextlib import asynccontextmanager + + @asynccontextmanager + async def _fake_bind(_holder): + yield _holder + + monkeypatch.setattr(scraper, "open_proxy_holder", _fake_open) + monkeypatch.setattr(scraper, "bind_proxy_holder", _fake_bind) + + async def _job(n: int) -> AsyncIterator[dict]: + for i in range(5): + yield {"job": n, "i": i} + + jobs = [_job(n) for n in range(20)] + + gen = scraper.fan_out(jobs, concurrency=4) + collected = [] + async for item in gen: + collected.append(item) + if len(collected) >= 3: # consumer stops early (like a limit) + break + await gen.aclose() # deterministically run fan_out's teardown + + assert len(collected) >= 3 + assert holders, "workers should have opened sessions" + # Every opened session must be closed after the generator is torn down. + assert all(h.closed for h in holders), "a worker leaked its proxy session" + + +async def test_fan_out_empty_jobs_is_noop(): + out = [x async for x in scraper.fan_out([])] + assert out == [] diff --git a/surfsense_backend/tests/unit/platforms/youtube/test_parsers.py b/surfsense_backend/tests/unit/platforms/youtube/test_parsers.py new file mode 100644 index 000000000..55f591c63 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/youtube/test_parsers.py @@ -0,0 +1,975 @@ +"""Offline unit tests for the YouTube scraper parsers. + +No network. Uses small hand-built raw ``ytInitialData`` / ``ytInitialPlayerResponse`` +shapes (mirroring real nesting) plus direct normalization cases — the smallest +things that fail if the dict-walk or normalization logic breaks. If the e2e +script has captured real fixtures into ``fixtures/``, they are exercised too. +""" + +import base64 +import json +from pathlib import Path + +import pytest + +from app.proprietary.platforms.youtube.parsers import ( + channel_about_tokens, + comment_next_token, + comment_reply_tokens, + comment_section_token, + comment_sort_tokens, + dig, + find_all, + parse_channel_about, + parse_channel_metadata, + parse_channel_shorts, + parse_collaborators, + parse_comment_entities, + parse_count, + parse_date, + parse_description_links, + parse_location, + parse_playlist_video_ids, + parse_search_response, + parse_translation, + parse_video_page, + seconds_to_duration, +) +from app.proprietary.platforms.youtube.schemas import YouTubeScrapeInput +from app.proprietary.platforms.youtube.search_filters import build_search_params +from app.proprietary.platforms.youtube.url_resolver import resolve_url + +pytestmark = pytest.mark.unit + +_FIXTURE_DIR = Path(__file__).parent / "fixtures" + + +# --- normalization ----------------------------------------------------------- + + +@pytest.mark.parametrize( + "raw,expected", + [ + ("451K views", 451_000), + ("1.2M", 1_200_000), + ("1,234", 1_234), + ("100", 100), + ("2.5B", 2_500_000_000), + (500, 500), + ("No views", None), + ("", None), + (None, None), + ], +) +def test_parse_count(raw, expected): + assert parse_count(raw) == expected + + +def test_parse_date_prefers_publish_date(): + mf = {"publishDate": "2024-08-27", "uploadDate": "2024-08-20"} + assert parse_date(mf) == "2024-08-27" + assert parse_date({"uploadDate": "2024-08-20"}) == "2024-08-20" + assert parse_date(None) is None + + +def test_seconds_to_duration(): + assert seconds_to_duration("207") == "00:03:27" + assert seconds_to_duration(3661) == "01:01:01" + assert seconds_to_duration(None) is None + + +# --- traversal helpers ------------------------------------------------------- + + +def test_find_all_and_dig(): + data = {"a": {"b": [{"k": 1}, {"k": 2}]}, "k": 3} + assert find_all(data, "k") == [1, 2, 3] + assert dig(data, "a", "b", 0, "k") == 1 + assert dig(data, "a", "b", 5, "k") is None + assert dig(data, "missing", "x") is None + + +# --- page parsing ------------------------------------------------------------ + + +def _video_html() -> str: + player = { + "videoDetails": { + "videoId": "abc123", + "title": "Test Title", + "lengthSeconds": "207", + "viewCount": "100", + "author": "TechReviewer", + "channelId": "UC123", + "shortDescription": "desc", + "keywords": ["#tech"], + "thumbnail": { + "thumbnails": [ + { + "url": "https://i.ytimg.com/vi/abc123/hq.jpg", + "width": 480, + "height": 360, + } + ] + }, + }, + "microformat": { + "playerMicroformatRenderer": { + "publishDate": "2024-08-27", + "isFamilySafe": True, + } + }, + "adPlacements": [{"adPlacementRenderer": {}}], + } + initial = { + "like": {"buttonViewModel": {"iconName": "LIKE", "title": "15K"}}, + "comments": { + "itemSectionRenderer": { + "sectionIdentifier": "comment-item-section", + "contents": [{"continuationItemRenderer": {"trigger": "x"}}], + } + }, + "ctx": {"contextualInfo": {"runs": [{"text": "1,250"}]}}, + "chan": {"canonicalBaseUrl": "/@Apify"}, + "subs": {"subscriberCountText": {"simpleText": "500K subscribers"}}, + "badge": {"metadataBadgeRenderer": {"tooltip": "Verified"}}, + } + return ( + "" + ) + + +def test_parse_video_page(): + result = parse_video_page(_video_html()) + assert result is not None + assert result["id"] == "abc123" + assert result["url"] == "https://www.youtube.com/watch?v=abc123" + assert result["title"] == "Test Title" + assert result["viewCount"] == 100 + assert result["duration"] == "00:03:27" + assert result["date"] == "2024-08-27" + assert result["thumbnailUrl"] == "https://i.ytimg.com/vi/abc123/hq.jpg" + assert result["hashtags"] == ["#tech"] + assert result["channelName"] == "TechReviewer" + assert result["channelId"] == "UC123" + assert result["likes"] == 15_000 + assert result["commentsCount"] == 1_250 + assert result["channelUrl"] == "https://www.youtube.com/@Apify" + assert result["channelUsername"] == "Apify" + assert result["numberOfSubscribers"] == 500_000 + assert result["isChannelVerified"] is True + assert result["isMonetized"] is True # adPlacements present + assert result["isAgeRestricted"] is None # family safe, no age gate + assert result["commentsTurnedOff"] is False # section has a continuation + + +def test_parse_video_page_comments_turned_off(): + player = {"videoDetails": {"videoId": "x", "title": "t"}} + initial = { + "itemSectionRenderer": { + "sectionIdentifier": "comment-item-section", + "contents": [{"messageRenderer": {"text": {"simpleText": "off"}}}], + } + } + html = ( + "" + ) + result = parse_video_page(html) + assert result is not None + assert result["commentsTurnedOff"] is True + assert result["commentsCount"] is None + + +def test_parse_video_page_age_restricted(): + player = { + "videoDetails": {"videoId": "x", "title": "t"}, + "playabilityStatus": { + "status": "LOGIN_REQUIRED", + "desktopLegacyAgeGateReason": 1, + }, + } + html = "" + result = parse_video_page(html) + assert result is not None + assert result["isAgeRestricted"] is True + assert result["isMonetized"] is None # no ad slots → can't confirm + + +def test_parse_video_page_members_only_and_paid(): + player = { + "videoDetails": {"videoId": "m", "title": "t"}, + "playabilityStatus": {"errorScreen": {"x": {"offerId": "sponsors_only_video"}}}, + "paidContentOverlay": { + "paidContentOverlayRenderer": {"text": "Includes paid promotion"} + }, + } + initial = { + "badges": [ + { + "metadataBadgeRenderer": { + "style": "BADGE_STYLE_TYPE_MEMBERS_ONLY", + "label": "Members only", + } + } + ] + } + html = ( + "" + ) + result = parse_video_page(html) + assert result is not None + assert result["isMembersOnly"] is True + assert result["isPaidContent"] is True + + +def test_parse_video_page_returns_none_without_player(): + assert parse_video_page("no data here") is None + + +def test_parse_channel_metadata(): + initial = { + "metadata": { + "channelMetadataRenderer": { + "title": "Apify", + "externalId": "UCabc123", + "description": "We scrape the web.", + "vanityChannelUrl": "https://www.youtube.com/@Apify", + "avatar": { + "thumbnails": [ + {"url": "https://a/avatar.jpg", "width": 88, "height": 88} + ] + }, + } + }, + "header": { + "pageHeaderViewModel": { + "banner": { + "imageBannerViewModel": { + "image": { + "sources": [ + { + "url": "https://a/banner.jpg", + "width": 1060, + "height": 175, + } + ] + } + } + } + } + }, + } + meta = parse_channel_metadata(initial) + assert meta["channelName"] == "Apify" + assert meta["channelId"] == "UCabc123" + assert meta["channelDescription"] == "We scrape the web." + assert meta["channelUrl"] == "https://www.youtube.com/@Apify" + assert meta["channelAvatarUrl"] == "https://a/avatar.jpg" + assert meta["channelBannerUrl"] == "https://a/banner.jpg" + assert parse_channel_metadata({}) == {} + + +def test_parse_channel_about(): + about = { + "description": "Official channel.", + "country": "United States", + "subscriberCountText": "45.6M subscribers", + "viewCountText": "1,132,903,744 views", + "videoCountText": "1,471 videos", + "joinedDateText": {"content": "Joined Feb 8, 2005"}, + } + out = parse_channel_about(about) + assert out["channelDescription"] == "Official channel." + assert out["channelLocation"] == "United States" + assert out["numberOfSubscribers"] == 45_600_000 + assert out["channelTotalViews"] == 1_132_903_744 + assert out["channelTotalVideos"] == 1_471 + assert out["channelJoinedDate"] == "Feb 8, 2005" + + +def test_parse_description_links(): + initial = { + "attributedDescription": { + "content": "See #tag and my site here", + "commandRuns": [ + { + "startIndex": 4, + "length": 4, + "onTap": { + "innertubeCommand": {"urlEndpoint": {"url": "/hashtag/tag"}} + }, + }, + { + "startIndex": 21, + "length": 4, + "onTap": { + "innertubeCommand": { + "commandMetadata": { + "webCommandMetadata": { + "url": "https://www.youtube.com/redirect?q=https%3A%2F%2Fexample.com%2Fp&v=x" + } + } + } + }, + }, + ], + } + } + links = parse_description_links(initial) + assert links == [ + {"url": "https://www.youtube.com/hashtag/tag", "text": "#tag"}, + {"url": "https://example.com/p", "text": "here"}, + ] + assert parse_description_links({}) is None + + +def test_channel_about_tokens(): + initial = { + "a": { + "showEngagementPanelEndpoint": { + "x": {"continuationCommand": {"token": "T1"}} + } + }, + "b": { + "showEngagementPanelEndpoint": { + "y": {"continuationCommand": {"token": "T2"}} + } + }, + } + assert channel_about_tokens(initial) == ["T1", "T2"] + assert channel_about_tokens({}) == [] + + +def test_parse_search_response(): + data = { + "contents": [ + { + "videoRenderer": { + "videoId": "mx3g7XoPVNQ", + "title": {"runs": [{"text": "A bad day"}]}, + "detailedMetadataSnippets": [ + {"snippetText": {"runs": [{"text": "become an engineer"}]}} + ], + "publishedTimeText": {"simpleText": "7 days ago"}, + "lengthText": {"simpleText": "8:39"}, + "shortViewCountText": {"simpleText": "451K views"}, + "thumbnail": { + "thumbnails": [ + { + "url": "https://i.ytimg.com/vi/x/hq.jpg", + "width": 360, + "height": 202, + } + ] + }, + "ownerText": { + "runs": [ + { + "text": "Life of Boris", + "navigationEndpoint": { + "browseEndpoint": { + "browseId": "UCS5tt2z_DFvG7-39J3aE-bQ", + "canonicalBaseUrl": "/@LifeofBoris", + } + }, + } + ] + }, + } + } + ], + "continuationCommand": {"token": "TOKEN123"}, + } + items, token = parse_search_response(data) + assert token == "TOKEN123" + assert len(items) == 1 + item = items[0] + assert item["id"] == "mx3g7XoPVNQ" + assert item["title"] == "A bad day" + assert item["viewCount"] == 451_000 + assert item["duration"] == "8:39" + assert item["publishedTimeText"] == "7 days ago" + assert item["date"] is None # list pages have no real date + assert item["channelName"] == "Life of Boris" + assert item["channelId"] == "UCS5tt2z_DFvG7-39J3aE-bQ" + assert item["channelUrl"] == "https://www.youtube.com/@LifeofBoris" + assert item["channelUsername"] == "LifeofBoris" + + +def test_parse_channel_shorts(): + data = { + "richItemRenderer": { + "content": { + "shortsLockupViewModel": { + "entityId": "shorts-shelf-item-0UfLo9SOUeE", + "onTap": { + "innertubeCommand": { + "reelWatchEndpoint": {"videoId": "0UfLo9SOUeE"} + } + }, + "overlayMetadata": { + "primaryText": {"content": "is the west coast the best?"}, + "secondaryText": {"content": "812 views"}, + }, + "thumbnailViewModel": { + "image": { + "sources": [ + { + "url": "https://i.ytimg.com/s.jpg", + "width": 405, + "height": 720, + } + ] + } + }, + } + } + }, + "continuationCommand": {"token": "SHORTSTOKEN"}, + } + items, token = parse_channel_shorts(data) + assert token == "SHORTSTOKEN" + assert len(items) == 1 + it = items[0] + assert it["id"] == "0UfLo9SOUeE" + assert it["url"] == "https://www.youtube.com/shorts/0UfLo9SOUeE" + assert it["title"] == "is the west coast the best?" + assert it["viewCount"] == 812 + assert it["thumbnailUrl"] == "https://i.ytimg.com/s.jpg" + + +def test_parse_playlist_video_ids(): + # Playlists now return lockupViewModel with contentId (not playlistVideoRenderer). + # Guards against the exact renderer-migration that silently broke the flow: + # keep videos (11-char ids) in order, dedup, and drop non-video lockups. + data = { + "contents": { + "items": [ + { + "lockupViewModel": { + "contentId": "fNk_zzaMoSs", + "contentType": "VIDEO", + } + }, + { + "lockupViewModel": { + "contentId": "k7RM-ot2NWY", + "contentType": "VIDEO", + } + }, + { + "lockupViewModel": { + "contentId": "fNk_zzaMoSs", + "contentType": "VIDEO", + } + }, # dup + ] + }, + # a playlist self-lockup (non-video, longer id) that must be ignored + "sidebar": { + "lockupViewModel": {"contentId": "PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab"} + }, + "continuationItemRenderer": { + "continuationEndpoint": {"continuationCommand": {"token": "PAGE2"}} + }, + } + ids, token = parse_playlist_video_ids(data) + assert ids == ["fNk_zzaMoSs", "k7RM-ot2NWY"] + assert token == "PAGE2" + + +# --- search filter (sp=) encoder -------------------------------------------- + + +@pytest.mark.parametrize( + "kwargs,expected", + [ + ({}, None), + ({"sortingOrder": "relevance"}, None), # default sort → no bytes + ({"sortingOrder": "rating"}, "CAE="), + ({"sortingOrder": "date"}, "CAI="), + ({"sortingOrder": "views"}, "CAM="), + ({"videoType": "video"}, "EgIQAQ=="), + ({"videoType": "movie"}, "EgIQBA=="), + ({"dateFilter": "hour"}, "EgIIAQ=="), + ({"dateFilter": "year"}, "EgIIBQ=="), + ({"lengthFilter": "under4"}, "EgIYAQ=="), + ({"lengthFilter": "between420"}, "EgIYAw=="), + ({"lengthFilter": "plus20"}, "EgIYAg=="), + ], +) +def test_build_search_params_matches_youtube_tokens(kwargs, expected): + assert build_search_params(YouTubeScrapeInput(**kwargs)) == expected + + +def test_build_search_params_combines_filters(): + # sort=date + upload=week + type=video + HD + subtitles, all in one token. + token = build_search_params( + YouTubeScrapeInput( + sortingOrder="date", + dateFilter="week", + videoType="video", + isHD=True, + hasSubtitles=True, + ) + ) + raw = base64.b64decode(token) + # top-level: field1 (sort=2), field2 (Filters submessage) + assert raw[:2] == b"\x08\x02" # sort = date + assert b"\x12" in raw # Filters message tag present + # Filters payload contains upload_date=week(3), type=video(1), hd, subtitles + assert b"\x08\x03" in raw # uploadDate = week + assert b"\x10\x01" in raw # type = video + assert b"\x20\x01" in raw # feature 4 (HD) = 1 + assert b"\x28\x01" in raw # feature 5 (subtitles) = 1 + + +# --- location & collaborators ------------------------------------------------ + + +def _primary_info(super_title_link): + return { + "contents": { + "twoColumnWatchNextResults": { + "results": { + "results": { + "contents": [ + { + "videoPrimaryInfoRenderer": { + "superTitleLink": super_title_link + } + } + ] + } + } + } + } + } + + +def test_parse_location_from_geo_tag_label(): + initial = _primary_info( + { + "runs": [{"text": "ROME"}], + "accessibility": { + "accessibilityData": { + "label": "Link to a location restricted search for videos geo tagged with Rome" + } + }, + } + ) + assert parse_location(initial) == "Rome" + + +def test_parse_location_hashtag_supertitle_is_none(): + # Same slot, but hashtags carry no geo-tag a11y label. + initial = _primary_info({"runs": [{"text": "#music"}, {"text": "#video"}]}) + assert parse_location(initial) is None + + +def test_parse_location_absent_is_none(): + assert parse_location({}) is None + + +def _owner(video_owner_renderer): + return { + "contents": { + "twoColumnWatchNextResults": { + "results": { + "results": { + "contents": [ + { + "videoSecondaryInfoRenderer": { + "owner": { + "videoOwnerRenderer": video_owner_renderer + } + } + } + ] + } + } + } + } + } + + +def _collab_row(name, base_url): + return { + "listItemViewModel": { + "title": { + "content": name, + "commandRuns": [ + { + "onTap": { + "innertubeCommand": { + "browseEndpoint": { + "browseId": "UCx", + "canonicalBaseUrl": base_url, + } + } + } + } + ], + }, + # A nested subscribe submenu — must NOT be picked up as a collaborator. + "subscribeMenu": { + "listItemViewModel": {"title": {"content": "Unsubscribe"}} + }, + } + } + + +def test_parse_collaborators_from_dialog(): + initial = _owner( + { + "attributedTitle": { + "content": "Alice and Bob", + "commandRuns": [ + { + "onTap": { + "innertubeCommand": { + "showDialogCommand": { + "panelLoadingStrategy": { + "inlineContent": { + "dialogViewModel": { + "header": { + "dialogHeaderViewModel": { + "headline": { + "content": "Collaborators" + } + } + }, + "customContent": { + "listViewModel": { + "listItems": [ + _collab_row( + "Alice", "/@alice" + ), + _collab_row( + "Bob", + "/channel/UCbob123", + ), + ] + } + }, + } + } + } + } + } + } + } + ], + } + } + ) + collaborators = parse_collaborators(initial) + assert collaborators == [ + {"name": "Alice", "username": "alice", "url": "https://www.youtube.com/@alice"}, + { + "name": "Bob", + "username": None, + "url": "https://www.youtube.com/channel/UCbob123", + }, + ] + + +def test_parse_collaborators_single_owner_is_none(): + # Ordinary videos use title.runs, not attributedTitle. + initial = _owner({"title": {"runs": [{"text": "Some Channel"}]}}) + assert parse_collaborators(initial) is None + + +def test_parse_translation_from_next(): + next_data = { + "contents": { + "twoColumnWatchNextResults": { + "results": { + "results": { + "contents": [ + { + "videoPrimaryInfoRenderer": { + "title": { + "runs": [ + {"text": "Título "}, + {"text": "traducido"}, + ] + } + } + }, + { + "videoSecondaryInfoRenderer": { + "attributedDescription": { + "content": "Descripción traducida" + } + } + }, + ] + } + } + } + } + } + title, description = parse_translation(next_data) + assert title == "Título traducido" + assert description == "Descripción traducida" + + +def test_parse_translation_description_runs_fallback(): + next_data = { + "videoSecondaryInfoRenderer": { + "description": {"runs": [{"text": "old "}, {"text": "style"}]} + } + } + title, description = parse_translation(next_data) + assert title is None + assert description == "old style" + + +# --- comments ---------------------------------------------------------------- + + +def _comment_cep(cid, *, level=0, hearted=False, owner=False, replies="5"): + """Mirror a real commentEntityPayload's relevant fields.""" + toolbar = {"likeCountNotliked": "1.2K", "replyCount": replies} + if hearted: + toolbar["creatorThumbnailUrl"] = "https://yt3.ggpht.com/heart" + return { + "properties": { + "commentId": cid, + "content": {"content": f"text {cid}"}, + "publishedTime": "2 days ago", + "replyLevel": level, + }, + "author": {"displayName": f"@user{cid}", "isCreator": owner}, + "toolbar": toolbar, + } + + +def _next_comments_response(): + """A /next comments response: sort menu, two threads, a page token.""" + + def _reply_loader(token): + return { + "continuationItemRenderer": { + "continuationEndpoint": {"continuationCommand": {"token": token}} + } + } + + def _thread(cid, reply_token): + return { + "commentThreadRenderer": { + "commentViewModel": {"commentViewModel": {"commentId": cid}}, + "replies": { + "commentRepliesRenderer": {"contents": [_reply_loader(reply_token)]} + }, + } + } + + return { + "frameworkUpdates": { + "entityBatchUpdate": { + "mutations": [ + { + "payload": { + "commentEntityPayload": _comment_cep( + "C1", hearted=True, owner=True + ) + } + }, + {"payload": {"commentEntityPayload": _comment_cep("C2")}}, + ] + } + }, + "onResponseReceivedEndpoints": [ + { + "reloadContinuationItemsCommand": { + "continuationItems": [ + _thread("C1", "REPLYTOK1"), + _thread("C2", "REPLYTOK2"), + { + "continuationItemRenderer": { + "continuationEndpoint": { + "continuationCommand": {"token": "PAGE2"} + } + } + }, + ] + } + } + ], + "header": { + "sortFilterSubMenuRenderer": { + "subMenuItems": [ + { + "title": "Top", + "serviceEndpoint": {"continuationCommand": {"token": "TOPTOK"}}, + }, + { + "title": "Newest", + "serviceEndpoint": {"continuationCommand": {"token": "NEWTOK"}}, + }, + ] + } + }, + } + + +def test_parse_comment_entities(): + data = _next_comments_response() + comments = parse_comment_entities(data) + assert len(comments) == 2 + first = comments[0] + assert first["cid"] == "C1" + assert first["comment"] == "text C1" + assert first["author"] == "@userC1" + assert first["voteCount"] == 1200 # "1.2K" + assert first["replyCount"] == 5 + assert first["type"] == "comment" + assert first["hasCreatorHeart"] is True + assert first["authorIsChannelOwner"] is True + # second is a plain, non-hearted comment + assert comments[1]["hasCreatorHeart"] is False + assert comments[1]["authorIsChannelOwner"] is False + + +def test_comment_entity_reply_level_and_empty_reply_count(): + reply = parse_comment_entities( + { + "frameworkUpdates": { + "entityBatchUpdate": { + "mutations": [ + { + "payload": { + "commentEntityPayload": _comment_cep( + "R1", level=1, replies="" + ) + } + } + ] + } + } + } + )[0] + assert reply["type"] == "reply" + assert reply["replyCount"] is None # empty string -> None + + +def test_comment_sort_tokens(): + tokens = comment_sort_tokens(_next_comments_response()) + assert tokens == {"Top": "TOPTOK", "Newest": "NEWTOK"} + + +def test_comment_reply_tokens(): + tokens = comment_reply_tokens(_next_comments_response()) + assert tokens == {"C1": "REPLYTOK1", "C2": "REPLYTOK2"} + + +def test_comment_next_token_is_trailing_bare_continuation(): + # The page token is the last top-level continuationItemRenderer, not a + # reply loader nested inside a thread. + assert comment_next_token(_next_comments_response()) == "PAGE2" + + +def test_comment_section_token_from_watch_page(): + initial = { + "contents": { + "twoColumnWatchNextResults": { + "results": { + "results": { + "contents": [ + { + "itemSectionRenderer": { + "sectionIdentifier": "comment-item-section", + "contents": [ + { + "continuationItemRenderer": { + "continuationEndpoint": { + "continuationCommand": { + "token": "SECTIONTOK" + } + } + } + } + ], + } + } + ] + } + } + } + } + } + assert comment_section_token(initial) == "SECTIONTOK" + + +# --- url resolution ---------------------------------------------------------- + + +@pytest.mark.parametrize( + "url,kind,value", + [ + ("https://www.youtube.com/watch?v=dQw4w9WgXcQ", "video", "dQw4w9WgXcQ"), + ("https://youtu.be/dQw4w9WgXcQ", "video", "dQw4w9WgXcQ"), + ("https://www.youtube.com/shorts/abc123", "video", "abc123"), + ("https://www.youtube.com/@Apify", "channel", "Apify"), + ( + "https://www.youtube.com/channel/UC123456789abc/videos", + "channel", + "UC123456789abc", + ), + ("https://www.youtube.com/playlist?list=PL123", "playlist", "PL123"), + ( + "https://www.youtube.com/results?search_query=web+scraping", + "search", + "web scraping", + ), + ("https://www.youtube.com/hashtag/tech", "hashtag", "tech"), + ], +) +def test_resolve_url(url, kind, value): + resolved = resolve_url(url) + assert resolved is not None + assert resolved.kind == kind + assert resolved.value == value + + +def test_resolve_url_unrecognized(): + assert resolve_url("https://example.com/foo") is None + + +# --- optional: exercise captured real fixtures if present -------------------- + + +def test_parse_captured_video_fixture_if_present(): + player_path = _FIXTURE_DIR / "video_player_response.json" + initial_path = _FIXTURE_DIR / "video_initial_data.json" + if not player_path.exists(): + pytest.skip("no captured fixture (run scripts/e2e_youtube_scraper.py first)") + html = ( + "" + ) + if initial_path.exists(): + html += ( + "" + ) + result = parse_video_page(html) + assert result is not None + assert result["id"] + assert result["title"] diff --git a/surfsense_backend/tests/unit/platforms/youtube/test_subtitles_retry.py b/surfsense_backend/tests/unit/platforms/youtube/test_subtitles_retry.py new file mode 100644 index 000000000..a1636ed23 --- /dev/null +++ b/surfsense_backend/tests/unit/platforms/youtube/test_subtitles_retry.py @@ -0,0 +1,77 @@ +"""Offline tests for the subtitles blocked-IP retry (rotate-on-block, no network. + +Stubs ``_build_client``/``get_requests_proxies`` so the RequestBlocked retry +path is exercised deterministically: retries only when a proxy is configured, +each attempt gets a fresh client, and the final block is re-raised. +""" + +from __future__ import annotations + +import pytest +from youtube_transcript_api import RequestBlocked + +from app.proprietary.platforms.youtube import subtitles + + +class _FakeTranscript: + is_generated = True + language_code = "en" + + def fetch(self): + return [] # formatters iterate snippets; empty is fine here + + +class _FakeTranscriptList: + def find_transcript(self, codes): + return _FakeTranscript() + + +class _FakeApi: + """One 'IP': blocks if ``blocked``, else returns a transcript list.""" + + def __init__(self, blocked: bool) -> None: + self.blocked = blocked + + def list(self, video_id: str): + if self.blocked: + raise RequestBlocked(video_id) + return _FakeTranscriptList() + + +def _install(monkeypatch, outcomes: list[bool], proxied: bool) -> list[_FakeApi]: + """Each ``_build_client`` call pops the next outcome (True = blocked).""" + built: list[_FakeApi] = [] + + def fake_build(): + api = _FakeApi(outcomes[len(built)]) + built.append(api) + return api + + monkeypatch.setattr(subtitles, "_build_client", fake_build) + monkeypatch.setattr( + subtitles, + "get_requests_proxies", + lambda: {"http": "http://p", "https": "http://p"} if proxied else None, + ) + return built + + +def test_blocked_then_success_retries_with_fresh_client(monkeypatch): + built = _install(monkeypatch, [True, True, False], proxied=True) + track = subtitles._fetch_subtitles_sync("vid", "en", "plaintext", False) + assert track.language == "en" + assert len(built) == 3 # two blocked attempts + one success, each a new client + + +def test_all_attempts_blocked_reraises(monkeypatch): + built = _install(monkeypatch, [True] * 10, proxied=True) + with pytest.raises(RequestBlocked): + subtitles._fetch_subtitles_sync("vid", "en", "plaintext", False) + assert len(built) == subtitles._MAX_ROTATIONS + 1 + + +def test_no_proxy_means_single_attempt(monkeypatch): + built = _install(monkeypatch, [True] * 10, proxied=False) + with pytest.raises(RequestBlocked): + subtitles._fetch_subtitles_sync("vid", "en", "plaintext", False) + assert len(built) == 1 # same egress IP; retrying would be futile diff --git a/surfsense_backend/tests/unit/podcasts/test_api_schemas.py b/surfsense_backend/tests/unit/podcasts/test_api_schemas.py index 41664ac64..59a4b7abf 100644 --- a/surfsense_backend/tests/unit/podcasts/test_api_schemas.py +++ b/surfsense_backend/tests/unit/podcasts/test_api_schemas.py @@ -22,7 +22,7 @@ def _podcast(*, status: PodcastStatus = PodcastStatus.PENDING, **columns) -> Pod """A persisted-looking row: the id and created_at a saved podcast would carry.""" podcast = Podcast( title="Episode", - search_space_id=3, + workspace_id=3, status=status, spec_version=1, **columns, diff --git a/surfsense_backend/tests/unit/proprietary/__init__.py b/surfsense_backend/tests/unit/proprietary/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/proprietary/web_crawler/__init__.py b/surfsense_backend/tests/unit/proprietary/web_crawler/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/proprietary/web_crawler/test_captcha.py b/surfsense_backend/tests/unit/proprietary/web_crawler/test_captcha.py new file mode 100644 index 000000000..de7228a76 --- /dev/null +++ b/surfsense_backend/tests/unit/proprietary/web_crawler/test_captcha.py @@ -0,0 +1,241 @@ +"""Unit tests for the proprietary captcha page_action factory (Phase 3d). + +The browser/solver boundary is mocked: a fake Playwright ``page`` and a +monkeypatched ``_harvest_token`` / injection. We assert the glue logic — +detection, proxy reformatting, attempt counting + state surfacing, the per-URL +cap, and the no-balance process latch. +""" + +import pytest + +from app.proprietary.web_crawler import captcha as cap +from app.utils.captcha import CaptchaConfig + +pytestmark = pytest.mark.unit + + +def _cfg(**overrides) -> CaptchaConfig: + base = { + "enabled": True, + "solving_site": "capsolver", + "api_key": "key-123", + "max_attempts_per_url": 1, + "timeout_s": 30, + "captcha_type_default": "v2", + "v3_min_score": 0.7, + "v3_action": "verify", + } + base.update(overrides) + return CaptchaConfig(**base) + + +class _FakeEl: + def __init__(self, attrs: dict[str, str]): + self._attrs = attrs + + def get_attribute(self, name: str) -> str | None: + return self._attrs.get(name) + + +class _FakePage: + """Minimal sync-Playwright-ish page for detection/injection tests.""" + + def __init__( + self, widgets=None, iframes=None, scripts=None, url="https://t.test/p" + ): + self._widgets = widgets or {} # selector -> _FakeEl + self._iframes = iframes or [] # list[_FakeEl] + self._scripts = scripts or [] # list[_FakeEl] + self.url = url + self.evaluated: list = [] + + def query_selector(self, selector: str): + return self._widgets.get(selector) + + def query_selector_all(self, selector: str): + if selector == "iframe[src]": + return self._iframes + if selector == "script[src]": + return self._scripts + return [] + + def evaluate(self, js, arg=None): + self.evaluated.append((js, arg)) + if "navigator.userAgent" in js: + return "UA/1.0" + return None + + def wait_for_load_state(self, *_a, **_k): + return None + + +@pytest.fixture(autouse=True) +def _clear_latch(): + cap.reset_solver_latch() + yield + cap.reset_solver_latch() + + +# --- proxy reformat -------------------------------------------------------- + + +class TestProxyReformat: + def test_with_auth(self): + assert ( + cap.proxy_url_to_captchatools("http://user:pass@1.2.3.4:8080") + == "1.2.3.4:8080:user:pass" + ) + + def test_without_auth(self): + assert cap.proxy_url_to_captchatools("http://1.2.3.4:8080") == "1.2.3.4:8080" + + def test_none_and_garbage(self): + assert cap.proxy_url_to_captchatools(None) is None + assert cap.proxy_url_to_captchatools("not-a-url") is None + + +# --- detection ------------------------------------------------------------- + + +class TestDetect: + def test_recaptcha_v2_widget(self): + page = _FakePage( + widgets={".g-recaptcha[data-sitekey]": _FakeEl({"data-sitekey": "SK_V2"})} + ) + assert cap.detect_challenge(page, _cfg()) == ("v2", "SK_V2") + + def test_hcaptcha_widget(self): + page = _FakePage( + widgets={".h-captcha[data-sitekey]": _FakeEl({"data-sitekey": "SK_H"})} + ) + assert cap.detect_challenge(page, _cfg()) == ("hcaptcha", "SK_H") + + def test_iframe_fallback(self): + page = _FakePage( + iframes=[_FakeEl({"src": "https://www.google.com/recaptcha/api2?k=SK_IF"})] + ) + assert cap.detect_challenge(page, _cfg()) == ("v2", "SK_IF") + + def test_v3_render_param_when_default_v3(self): + page = _FakePage( + scripts=[ + _FakeEl({"src": "https://www.google.com/recaptcha/api.js?render=SK_V3"}) + ] + ) + assert cap.detect_challenge(page, _cfg(captcha_type_default="v3")) == ( + "v3", + "SK_V3", + ) + + def test_no_challenge(self): + assert cap.detect_challenge(_FakePage(), _cfg()) is None + + +# --- factory / page_action ------------------------------------------------- + + +class TestFactoryGating: + def test_returns_none_when_disabled(self): + state = {"attempts": 0, "solved": False} + assert build_action(state, _cfg(enabled=False)) is None + + def test_returns_none_when_latched(self): + cap._latch_solver("test") + state = {"attempts": 0, "solved": False} + assert build_action(state, _cfg()) is None + + +def build_action(state, cfg, proxy="http://u:p@1.2.3.4:9000"): + return cap.build_captcha_page_action(state, proxy, cfg) + + +class TestPageAction: + def test_solves_and_records(self, monkeypatch): + captured = {} + + def _fake_harvest(cfg, ctype, sitekey, page_url, proxy, ua): + captured.update( + ctype=ctype, sitekey=sitekey, page_url=page_url, proxy=proxy, ua=ua + ) + return "TOKEN" + + injected = {} + monkeypatch.setattr(cap, "_harvest_token", _fake_harvest) + monkeypatch.setattr( + cap, + "_inject_and_submit", + lambda page, ctype, token: injected.update(ctype=ctype, token=token), + ) + + state = {"attempts": 0, "solved": False} + action = build_action(state, _cfg()) + page = _FakePage( + widgets={".g-recaptcha[data-sitekey]": _FakeEl({"data-sitekey": "SK"})} + ) + action(page) + + assert state == {"attempts": 1, "solved": True} + # Solver egressed from the crawl's proxy, reformatted, with the page UA. + assert captured["proxy"] == "1.2.3.4:9000:u:p" + assert captured["ua"] == "UA/1.0" + assert captured["ctype"] == "v2" + assert injected == {"ctype": "v2", "token": "TOKEN"} + + def test_no_challenge_no_attempt(self, monkeypatch): + monkeypatch.setattr( + cap, "_harvest_token", lambda *a, **k: pytest.fail("should not solve") + ) + state = {"attempts": 0, "solved": False} + build_action(state, _cfg())(_FakePage()) + assert state == {"attempts": 0, "solved": False} + + def test_per_url_attempt_cap(self, monkeypatch): + calls = {"n": 0} + + def _h(*_a, **_k): + calls["n"] += 1 + return "TOKEN" + + monkeypatch.setattr(cap, "_harvest_token", _h) + monkeypatch.setattr(cap, "_inject_and_submit", lambda *a, **k: None) + + # Already at the cap → no further solve. + state = {"attempts": 1, "solved": False} + page = _FakePage( + widgets={".g-recaptcha[data-sitekey]": _FakeEl({"data-sitekey": "SK"})} + ) + build_action(state, _cfg(max_attempts_per_url=1))(page) + assert calls["n"] == 0 + assert state["attempts"] == 1 + + def test_empty_token_counts_attempt_but_not_solved(self, monkeypatch): + monkeypatch.setattr(cap, "_harvest_token", lambda *a, **k: None) + monkeypatch.setattr( + cap, "_inject_and_submit", lambda *a, **k: pytest.fail("no inject") + ) + state = {"attempts": 0, "solved": False} + page = _FakePage( + widgets={".g-recaptcha[data-sitekey]": _FakeEl({"data-sitekey": "SK"})} + ) + build_action(state, _cfg())(page) + assert state == {"attempts": 1, "solved": False} + + def test_no_balance_latches_and_stops(self, monkeypatch): + class NoBalanceError(Exception): + pass + + def _boom(*_a, **_k): + raise NoBalanceError("out of balance") + + monkeypatch.setattr(cap, "_harvest_token", _boom) + state = {"attempts": 0, "solved": False} + page = _FakePage( + widgets={".g-recaptcha[data-sitekey]": _FakeEl({"data-sitekey": "SK"})} + ) + build_action(state, _cfg(max_attempts_per_url=3))(page) + + # Attempt counted, not solved, and the process latch is tripped so the + # next factory build refuses to wire solving at all (no retry loop). + assert state == {"attempts": 1, "solved": False} + assert cap.solver_latched() is True + assert build_action({"attempts": 0, "solved": False}, _cfg()) is None diff --git a/surfsense_backend/tests/unit/proprietary/web_crawler/test_connector.py b/surfsense_backend/tests/unit/proprietary/web_crawler/test_connector.py new file mode 100644 index 000000000..8db7c1ed1 --- /dev/null +++ b/surfsense_backend/tests/unit/proprietary/web_crawler/test_connector.py @@ -0,0 +1,499 @@ +"""Unit tests for ``WebCrawlerConnector.crawl_url`` outcome semantics (Phase 3a). + +These exercise the Scrapling tier ladder and the explicit ``CrawlOutcome`` +contract that Phase 3c bills on, by stubbing the per-tier fetch helpers so the +ladder logic is tested deterministically without launching browsers/HTTP. +""" + +import pytest + +from app.proprietary.web_crawler import ( + CrawlOutcomeStatus, + WebCrawlerConnector, + connector as connector_module, +) +from app.utils.crawl import BlockType + +pytestmark = pytest.mark.unit + + +def _result(tier: str) -> dict: + return { + "content": "hello world", + "metadata": {"source": "https://example.com", "title": "Example"}, + "crawler_type": tier, + } + + +async def test_invalid_url_is_failed() -> None: + """A URL that fails validation never reaches a tier and is FAILED.""" + outcome = await WebCrawlerConnector().crawl_url("not a url") + + assert outcome.status is CrawlOutcomeStatus.FAILED + assert outcome.result is None + assert "Invalid URL" in (outcome.error or "") + + +async def test_static_tier_success_short_circuits( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Static success returns SUCCESS and never touches the browser tiers.""" + crawler = WebCrawlerConnector() + later_calls: list[str] = [] + + async def _static(_url: str, *_args) -> dict: + return _result("scrapling-static") + + async def _record_dynamic(_url: str, *_args) -> None: + later_calls.append("dynamic") + return None + + async def _record_stealthy(_url: str, *_args) -> None: + later_calls.append("stealthy") + return None + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _static) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _record_dynamic) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _record_stealthy) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.SUCCESS + assert outcome.tier == "scrapling-static" + assert outcome.result is not None + assert outcome.result["crawler_type"] == "scrapling-static" + assert later_calls == [] + + +async def test_escalates_to_dynamic_on_static_miss( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Static empty extraction escalates to the dynamic tier.""" + crawler = WebCrawlerConnector() + + async def _empty(_url: str, *_args) -> None: + return None + + async def _dynamic(_url: str, *_args) -> dict: + return _result("scrapling-dynamic") + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _empty) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _dynamic) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.SUCCESS + assert outcome.tier == "scrapling-dynamic" + + +def test_dropped_currency_amounts_detection() -> None: + """Fires only when the DOM has currency figures that the markdown lost.""" + dropped = connector_module.dropped_currency_amounts + html = "
Pro plan $49/mo
" + assert dropped(html, "Pro plan without figures") + assert not dropped(html, "Pro plan $49/mo") # markdown kept it + assert not dropped("no prices here", "text") + # Country-agnostic: symbol-after-amount and ISO codes count too. + assert dropped("ab 49€ pro Monat", "ab pro Monat") + assert dropped("USD 2,500 per year", "per year") + # Script content is not visible: a JSON payload price must not trigger. + assert not dropped( + "hi", "hi" + ) + + +def test_build_result_repairs_pricing_card_loss() -> None: + """div-grid pricing cards dropped by trafilatura get recovered.""" + cards = "".join( + f"

{name}

${price}
" + f"
  • feature a
  • feature b
" + f"Choose {name}
" + for name, price in (("Free", 0), ("Pro", 49), ("Enterprise", 199)) + ) + html = ( + "Pricing" + "

Simple pricing

" + + "Choose the plan that fits your team best. " * 30 + + "

" + + cards + + "
" + ) + result = WebCrawlerConnector()._build_result( + html, "https://x.com/pricing", "t", allow_raw_fallback=False + ) + assert result is not None + assert "$49" in result["content"] + assert "$199" in result["content"] + + +def test_looks_like_js_shell_thresholds() -> None: + """Shell = huge HTML AND near-empty extraction; either alone is healthy.""" + shell = connector_module.looks_like_js_shell + assert shell(4_200_000, 597) # a16z.com/team + assert not shell(200_000, 13_092) # a16z investment-list: normal page + assert not shell(45_000, 1_356) # small brochure page: small is not thin + assert not shell(4_200_000, 50_000) # huge but content-rich (long article) + + +async def test_thin_static_shell_escalates_to_dynamic( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A JS-shell static result escalates; the hydrated dynamic result wins.""" + crawler = WebCrawlerConnector() + + async def _thin_static(_url: str, *_args) -> dict: + return _result("scrapling-static") | {"thin_static": True} + + async def _dynamic(_url: str, *_args) -> dict: + return _result("scrapling-dynamic") + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _thin_static) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _dynamic) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.SUCCESS + assert outcome.tier == "scrapling-dynamic" + + +async def test_thin_static_is_fallback_when_browser_tiers_fail( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Browser tiers unavailable -> the partial static content still returns.""" + crawler = WebCrawlerConnector() + + async def _thin_static(_url: str, *_args) -> dict: + return _result("scrapling-static") | {"thin_static": True} + + async def _unavailable(_url: str, *_args) -> None: + raise NotImplementedError("no subprocess support") + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _thin_static) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _unavailable) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _unavailable) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.SUCCESS + assert outcome.tier == "scrapling-static" + assert outcome.result is not None + assert "thin_static" not in outcome.result # internal tag never leaks + + +async def test_all_tiers_empty_is_empty(monkeypatch: pytest.MonkeyPatch) -> None: + """Every tier fetched but extracted nothing -> EMPTY (not billable).""" + crawler = WebCrawlerConnector() + + async def _empty(_url: str, *_args) -> None: + return None + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _empty) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _empty) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _empty) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.EMPTY + assert outcome.result is None + + +async def test_all_tiers_raise_is_failed(monkeypatch: pytest.MonkeyPatch) -> None: + """Every tier raising (none reachable) -> FAILED with aggregated errors.""" + crawler = WebCrawlerConnector() + + async def _boom(_url: str, *_args) -> None: + raise RuntimeError("fetch exploded") + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _boom) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _boom) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _boom) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.FAILED + assert "fetch exploded" in (outcome.error or "") + + +async def test_proxy_error_rotates_once_when_pool_backed( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """03b: a pool-backed provider retries the tier once on a proxy error.""" + crawler = WebCrawlerConnector() + calls = {"n": 0} + + async def _flaky(_url: str, *_args) -> dict: + calls["n"] += 1 + if calls["n"] == 1: + raise RuntimeError("connection refused by upstream proxy") + return _result("scrapling-static") + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _flaky) + monkeypatch.setattr(connector_module, "is_pool_backed", lambda: True) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.SUCCESS + assert outcome.tier == "scrapling-static" + assert calls["n"] == 2 # original attempt + one rotation retry + + +async def test_proxy_error_no_retry_when_single_endpoint( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Single-endpoint providers skip the retry (no re-hit of the dead proxy).""" + crawler = WebCrawlerConnector() + static_calls = {"n": 0} + + async def _proxy_err(_url: str, *_args) -> None: + static_calls["n"] += 1 + raise RuntimeError("connection refused by upstream proxy") + + async def _empty(_url: str, *_args) -> None: + return None + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _proxy_err) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _empty) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _empty) + monkeypatch.setattr(connector_module, "is_pool_backed", lambda: False) + + outcome = await crawler.crawl_url("https://example.com") + + assert static_calls["n"] == 1 # no retry + assert outcome.status is CrawlOutcomeStatus.EMPTY + + +async def test_captcha_defaults_zero_on_non_stealthy_success( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """03d: a static success never touches captcha → fields stay 0/False.""" + crawler = WebCrawlerConnector() + + async def _static(_url: str, *_args) -> dict: + return _result("scrapling-static") + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _static) + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.SUCCESS + assert outcome.captcha_attempts == 0 + assert outcome.captcha_solved is False + + +async def test_captcha_state_surfaced_onto_outcome( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """03d: the stealthy tier's captcha_state is stamped onto the outcome, + even when the lower tiers missed and stealthy itself succeeds.""" + crawler = WebCrawlerConnector() + + async def _empty(_url: str, *_args) -> None: + return None + + async def _stealthy(_url: str, captcha_state: dict, *_args) -> dict: + # Simulate the page_action having solved a captcha mid-fetch. + captcha_state["attempts"] = 2 + captcha_state["solved"] = True + return _result("scrapling-stealthy") + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _empty) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _empty) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _stealthy) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.SUCCESS + assert outcome.tier == "scrapling-stealthy" + assert outcome.captcha_attempts == 2 + assert outcome.captcha_solved is True + + +async def test_captcha_attempts_surface_even_when_crawl_fails( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """03d: attempts are billed per-attempt → must surface on a FAILED outcome.""" + crawler = WebCrawlerConnector() + + async def _empty(_url: str, *_args) -> None: + return None + + async def _stealthy_attempt_then_empty( + _url: str, captcha_state: dict, *_args + ) -> None: + captcha_state["attempts"] = 1 # solve attempted but crawl still empty + return None + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _empty) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _empty) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _stealthy_attempt_then_empty) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.EMPTY + assert outcome.captcha_attempts == 1 + assert outcome.captcha_solved is False + + +async def test_non_proxy_error_never_retries( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A non-proxy error is not retried even when pool-backed.""" + crawler = WebCrawlerConnector() + calls = {"n": 0} + + async def _boom(_url: str, *_args) -> None: + calls["n"] += 1 + raise RuntimeError("totally unrelated failure") + + async def _empty(_url: str, *_args) -> None: + return None + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _boom) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _empty) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _empty) + monkeypatch.setattr(connector_module, "is_pool_backed", lambda: True) + + outcome = await crawler.crawl_url("https://example.com") + + assert calls["n"] == 1 # not retried (not a proxy error) + assert outcome.status is CrawlOutcomeStatus.EMPTY + + +async def test_invalid_url_block_type_defaults_unknown() -> None: + """03e: a pre-fetch FAILED carries the default UNKNOWN block_type.""" + outcome = await WebCrawlerConnector().crawl_url("not a url") + + assert outcome.status is CrawlOutcomeStatus.FAILED + assert outcome.block_type is BlockType.UNKNOWN + + +async def test_block_type_surfaced_onto_outcome( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """03e: a tier's block classification (in block_state) is stamped onto the + outcome — additive only, never gating SUCCESS.""" + crawler = WebCrawlerConnector() + + async def _empty(_url: str, *_args) -> None: + return None + + async def _stealthy_blocked( + _url: str, _captcha_state: dict, block_state: dict + ) -> None: + # Simulate _build_result having classified a Cloudflare interstitial. + block_state["block_type"] = BlockType.CLOUDFLARE + return None + + monkeypatch.setattr(crawler, "_crawl_with_async_fetcher", _empty) + monkeypatch.setattr(crawler, "_crawl_with_dynamic", _empty) + monkeypatch.setattr(crawler, "_crawl_with_stealthy", _stealthy_blocked) + + outcome = await crawler.crawl_url("https://example.com") + + assert outcome.status is CrawlOutcomeStatus.EMPTY + assert outcome.block_type is BlockType.CLOUDFLARE + + +def test_build_result_classifies_into_block_state() -> None: + """03e: _build_result labels the fetched page into the passed block_state.""" + crawler = WebCrawlerConnector() + block_state: dict = {"block_type": BlockType.UNKNOWN} + + cf_html = "Just a moment..." + result = crawler._build_result( + cf_html, + "https://example.com", + "scrapling-stealthy", + allow_raw_fallback=False, + status=403, + block_state=block_state, + ) + + # Cloudflare interstitial: no real content extracted (None) but classified. + assert result is None + assert block_state["block_type"] is BlockType.CLOUDFLARE + + +async def test_static_4xx_is_classified( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """03e: a static-tier 4xx bot-gate is classified before the early return + (otherwise the cheapest/first tier's block signal would be lost).""" + crawler = WebCrawlerConnector() + + class _Page: + status = 403 + html_content = "Just a moment..." + + class _AsyncFetcher: + @staticmethod + async def get(*_a, **_k): + return _Page() + + monkeypatch.setattr(connector_module, "AsyncFetcher", _AsyncFetcher) + monkeypatch.setattr(connector_module, "get_proxy_url", lambda: None) + + block_state: dict = {"block_type": BlockType.UNKNOWN} + result = await crawler._crawl_with_async_fetcher("https://example.com", block_state) + + assert result is None # 4xx => fall through to next tier + assert block_state["block_type"] is BlockType.CLOUDFLARE + + +class _FakeScrollPage: + """Playwright-page stand-in: height grows per scroll until a plateau.""" + + def __init__(self, heights: list[int]): + self._heights = heights + self._i = 0 + self.scrolls = 0 + + def evaluate(self, script: str): + if "scrollHeight" in script and "scrollTo" not in script: + return self._heights[min(self._i, len(self._heights) - 1)] + self.scrolls += 1 + self._i += 1 + return None + + def wait_for_timeout(self, _ms: int) -> None: + pass + + +def test_scroll_to_bottom_stops_when_height_stops_growing() -> None: + page = _FakeScrollPage([1000, 2000, 3000, 3000]) + assert connector_module.scroll_to_bottom(page) is page + assert page.scrolls == 3 # scrolled at 1000/2000/3000; 3000-again broke the loop + + +def test_scroll_to_bottom_is_bounded_on_endless_feeds() -> None: + page = _FakeScrollPage([i * 1000 for i in range(1, 100)]) # never stabilizes + connector_module.scroll_to_bottom(page) + assert page.scrolls == connector_module._SCROLL_MAX_ROUNDS + + +def test_scroll_to_bottom_swallows_page_errors() -> None: + class _Broken: + def evaluate(self, _script: str): + raise RuntimeError("target closed") + + page = _Broken() + assert connector_module.scroll_to_bottom(page) is page # never raises + + +def test_build_result_ok_on_real_content() -> None: + """03e: a normal 200 page with content classifies OK.""" + crawler = WebCrawlerConnector() + block_state: dict = {"block_type": BlockType.UNKNOWN} + + html = ( + "
" + ("Real content. " * 40) + "
" + ) + crawler._build_result( + html, + "https://example.com", + "scrapling-static", + allow_raw_fallback=False, + status=200, + block_state=block_state, + ) + + assert block_state["block_type"] is BlockType.OK diff --git a/surfsense_backend/tests/unit/proprietary/web_crawler/test_connector_links.py b/surfsense_backend/tests/unit/proprietary/web_crawler/test_connector_links.py new file mode 100644 index 000000000..958a905ca --- /dev/null +++ b/surfsense_backend/tests/unit/proprietary/web_crawler/test_connector_links.py @@ -0,0 +1,29 @@ +"""``_build_result`` surfaces absolute page links for the spider to enqueue.""" + +from __future__ import annotations + +import pytest + +from app.proprietary.web_crawler import WebCrawlerConnector + +pytestmark = pytest.mark.unit + + +def test_build_result_includes_absolute_links() -> None: + html = ( + "" + 'A' + 'B' + "" + ) + + result = WebCrawlerConnector()._build_result( + html, + "https://example.com/", + "scrapling-static", + allow_raw_fallback=True, + ) + + assert result is not None + assert "https://example.com/a" in result["links"] + assert "https://example.com/b" in result["links"] diff --git a/surfsense_backend/tests/unit/proprietary/web_crawler/test_site_crawler.py b/surfsense_backend/tests/unit/proprietary/web_crawler/test_site_crawler.py new file mode 100644 index 000000000..1f8f64d54 --- /dev/null +++ b/surfsense_backend/tests/unit/proprietary/web_crawler/test_site_crawler.py @@ -0,0 +1,163 @@ +"""``crawl_site`` BFS behavior: depth, same-site scope, dedupe, and page caps. + +Boundary mocked: the engine (a fake ``crawl_url`` serving a canned link graph). +NOT mocked: the frontier/depth/dedupe/scope logic under test. +""" + +from __future__ import annotations + +import pytest + +from app.proprietary.web_crawler import CrawlOutcome, CrawlOutcomeStatus +from app.proprietary.web_crawler.site_crawler import crawl_site + +pytestmark = pytest.mark.unit + +_SUCCESS = CrawlOutcomeStatus.SUCCESS +_FAILED = CrawlOutcomeStatus.FAILED + + +class _FakeEngine: + """Serves a canned ``(status, links)`` per URL and records fetch order.""" + + def __init__(self, graph: dict[str, tuple[CrawlOutcomeStatus, list[str]]]): + self._graph = graph + self.calls: list[str] = [] + + async def crawl_url(self, url: str) -> CrawlOutcome: + self.calls.append(url) + status, links = self._graph.get(url, (_FAILED, [])) + if status is _SUCCESS: + return CrawlOutcome( + status=_SUCCESS, + result={ + "content": f"C:{url}", + "metadata": {"title": url}, + "links": links, + }, + ) + return CrawlOutcome(status=status, error="boom") + + +async def test_depth_zero_fetches_only_the_seed() -> None: + engine = _FakeEngine({"https://e.com/": (_SUCCESS, ["https://e.com/a"])}) + + pages = await crawl_site( + engine, ["https://e.com/"], max_crawl_depth=0, max_crawl_pages=10 + ) + + assert engine.calls == ["https://e.com/"] + assert len(pages) == 1 + assert pages[0].depth == 0 + assert pages[0].referrer is None + assert pages[0].content == "C:https://e.com/" + + +async def test_depth_one_follows_same_site_links_only() -> None: + engine = _FakeEngine( + { + "https://e.com/": ( + _SUCCESS, + ["https://e.com/a", "https://e.com/b", "https://other.com/x"], + ), + "https://e.com/a": (_SUCCESS, []), + "https://e.com/b": (_SUCCESS, []), + } + ) + + pages = await crawl_site( + engine, ["https://e.com/"], max_crawl_depth=1, max_crawl_pages=10 + ) + + assert set(engine.calls) == { + "https://e.com/", + "https://e.com/a", + "https://e.com/b", + } + depths = {page.url: page.depth for page in pages} + assert depths["https://e.com/a"] == 1 + referrers = {page.url: page.referrer for page in pages} + assert referrers["https://e.com/a"] == "https://e.com/" + + +async def test_depth_caps_further_recursion() -> None: + engine = _FakeEngine( + { + "https://e.com/": (_SUCCESS, ["https://e.com/a"]), + "https://e.com/a": (_SUCCESS, ["https://e.com/b"]), + "https://e.com/b": (_SUCCESS, []), + } + ) + + pages = await crawl_site( + engine, ["https://e.com/"], max_crawl_depth=1, max_crawl_pages=10 + ) + + # depth 1 reaches /a but must NOT descend to /b (depth 2). + assert set(engine.calls) == {"https://e.com/", "https://e.com/a"} + assert all(page.url != "https://e.com/b" for page in pages) + + +async def test_max_pages_caps_total_fetches() -> None: + graph: dict[str, tuple[CrawlOutcomeStatus, list[str]]] = { + "https://e.com/": (_SUCCESS, [f"https://e.com/{i}" for i in range(10)]) + } + for i in range(10): + graph[f"https://e.com/{i}"] = (_SUCCESS, []) + engine = _FakeEngine(graph) + + pages = await crawl_site( + engine, ["https://e.com/"], max_crawl_depth=1, max_crawl_pages=3 + ) + + assert len(pages) == 3 + assert len(engine.calls) == 3 + + +async def test_dedupes_on_canonical_url() -> None: + engine = _FakeEngine( + { + "https://e.com/": ( + _SUCCESS, + ["https://e.com/a", "https://e.com/a#frag", "https://e.com/a?"], + ), + "https://e.com/a": (_SUCCESS, ["https://e.com/"]), # links back to seed + } + ) + + await crawl_site(engine, ["https://e.com/"], max_crawl_depth=3, max_crawl_pages=10) + + assert engine.calls.count("https://e.com/a") == 1 + assert engine.calls.count("https://e.com/") == 1 + + +async def test_failed_page_is_recorded_and_not_expanded() -> None: + engine = _FakeEngine({"https://e.com/": (_FAILED, [])}) + + pages = await crawl_site( + engine, ["https://e.com/"], max_crawl_depth=2, max_crawl_pages=10 + ) + + assert len(pages) == 1 + assert pages[0].status is _FAILED + assert pages[0].content is None + assert pages[0].error == "boom" + + +async def test_multiple_seeds_are_all_entry_points() -> None: + engine = _FakeEngine( + { + "https://a.com/": (_SUCCESS, []), + "https://b.com/": (_SUCCESS, []), + } + ) + + pages = await crawl_site( + engine, + ["https://a.com/", "https://b.com/"], + max_crawl_depth=0, + max_crawl_pages=10, + ) + + assert {page.url for page in pages} == {"https://a.com/", "https://b.com/"} + assert all(page.depth == 0 for page in pages) diff --git a/surfsense_backend/tests/unit/proprietary/web_crawler/test_stealth.py b/surfsense_backend/tests/unit/proprietary/web_crawler/test_stealth.py new file mode 100644 index 000000000..0aa17ef3a --- /dev/null +++ b/surfsense_backend/tests/unit/proprietary/web_crawler/test_stealth.py @@ -0,0 +1,124 @@ +"""Unit tests for the Phase 3e stealth kwargs builder (proprietary boundary).""" + +import pytest + +from app.config import config +from app.proprietary.web_crawler import stealth +from app.proprietary.web_crawler.stealth import ( + build_stealthy_kwargs, + get_stealth_config, + location_to_locale_timezone, +) + +pytestmark = pytest.mark.unit + + +def _set_proxy_location(monkeypatch: pytest.MonkeyPatch, location: str) -> None: + """Point get_stealth_config at a stub provider with the given exit region.""" + + class _StubProvider: + def get_location(self) -> str: + return location + + monkeypatch.setattr(stealth, "get_active_provider", lambda: _StubProvider()) + + +class TestLocationToLocaleTimezone: + def test_alpha2_code(self): + assert location_to_locale_timezone("us") == ("en-US", "America/New_York") + assert location_to_locale_timezone("de") == ("de-DE", "Europe/Berlin") + + def test_case_and_whitespace_insensitive(self): + assert location_to_locale_timezone(" US ") == ( + "en-US", + "America/New_York", + ) + + def test_full_country_name_alias(self): + assert location_to_locale_timezone("Germany") == ( + "de-DE", + "Europe/Berlin", + ) + assert location_to_locale_timezone("united kingdom") == ( + "en-GB", + "Europe/London", + ) + + def test_leading_token_of_vendor_string(self): + # Vendor strings like "us:nyc" / "de-rotating" still resolve on the head. + assert location_to_locale_timezone("us:nyc") == ( + "en-US", + "America/New_York", + ) + assert location_to_locale_timezone("de-rotating") == ( + "de-DE", + "Europe/Berlin", + ) + + def test_empty_and_unknown_return_none(self): + assert location_to_locale_timezone("") == (None, None) + assert location_to_locale_timezone(None) == (None, None) + assert location_to_locale_timezone("atlantis") == (None, None) + + +class TestBuildStealthyKwargs: + def test_defaults_have_no_geoip_keys(self, monkeypatch): + # geoip off => locale/timezone_id absent (browser keeps system default). + monkeypatch.setattr(config, "CRAWL_GEOIP_MATCH_ENABLED", False) + monkeypatch.setattr(config, "CRAWL_BLOCK_WEBRTC", True) + monkeypatch.setattr(config, "CRAWL_HIDE_CANVAS", False) + monkeypatch.setattr(config, "CRAWL_GOOGLE_SEARCH_REFERER", True) + monkeypatch.setattr(config, "CRAWL_DNS_OVER_HTTPS", False) + _set_proxy_location(monkeypatch, "us") + + kwargs = build_stealthy_kwargs(get_stealth_config()) + + assert kwargs == { + "block_webrtc": True, + "hide_canvas": False, + "google_search": True, + "dns_over_https": False, + } + assert "locale" not in kwargs + assert "timezone_id" not in kwargs + + def test_flags_reflect_config(self, monkeypatch): + monkeypatch.setattr(config, "CRAWL_GEOIP_MATCH_ENABLED", False) + monkeypatch.setattr(config, "CRAWL_BLOCK_WEBRTC", False) + monkeypatch.setattr(config, "CRAWL_HIDE_CANVAS", True) + monkeypatch.setattr(config, "CRAWL_GOOGLE_SEARCH_REFERER", False) + monkeypatch.setattr(config, "CRAWL_DNS_OVER_HTTPS", True) + _set_proxy_location(monkeypatch, "") + + kwargs = build_stealthy_kwargs(get_stealth_config()) + + assert kwargs["block_webrtc"] is False + assert kwargs["hide_canvas"] is True + assert kwargs["google_search"] is False + assert kwargs["dns_over_https"] is True + + def test_geoip_on_adds_locale_timezone(self, monkeypatch): + monkeypatch.setattr(config, "CRAWL_GEOIP_MATCH_ENABLED", True) + monkeypatch.setattr(config, "CRAWL_BLOCK_WEBRTC", True) + monkeypatch.setattr(config, "CRAWL_HIDE_CANVAS", False) + monkeypatch.setattr(config, "CRAWL_GOOGLE_SEARCH_REFERER", True) + monkeypatch.setattr(config, "CRAWL_DNS_OVER_HTTPS", False) + _set_proxy_location(monkeypatch, "de") + + kwargs = build_stealthy_kwargs(get_stealth_config()) + + assert kwargs["locale"] == "de-DE" + assert kwargs["timezone_id"] == "Europe/Berlin" + + def test_geoip_on_but_unknown_location_skips(self, monkeypatch): + monkeypatch.setattr(config, "CRAWL_GEOIP_MATCH_ENABLED", True) + monkeypatch.setattr(config, "CRAWL_BLOCK_WEBRTC", True) + monkeypatch.setattr(config, "CRAWL_HIDE_CANVAS", False) + monkeypatch.setattr(config, "CRAWL_GOOGLE_SEARCH_REFERER", True) + monkeypatch.setattr(config, "CRAWL_DNS_OVER_HTTPS", False) + _set_proxy_location(monkeypatch, "atlantis") + + kwargs = build_stealthy_kwargs(get_stealth_config()) + + assert "locale" not in kwargs + assert "timezone_id" not in kwargs diff --git a/surfsense_backend/tests/unit/proprietary/web_crawler/test_url_policy.py b/surfsense_backend/tests/unit/proprietary/web_crawler/test_url_policy.py new file mode 100644 index 000000000..2c209ce16 --- /dev/null +++ b/surfsense_backend/tests/unit/proprietary/web_crawler/test_url_policy.py @@ -0,0 +1,130 @@ +"""Pure URL-helper behavior for the site spider (link surfacing + dedupe scope).""" + +from __future__ import annotations + +import pytest + +from app.proprietary.web_crawler.url_policy import ( + extract_link_records, + extract_links, + host_of, +) + +pytestmark = pytest.mark.unit + +_HTML = """ + + About (relative) + Contact (absolute) + External + Anchor only + Mail + JS + Duplicate about + +""" + + +def test_extract_links_absolutizes_relative_hrefs() -> None: + links = extract_links(_HTML, "https://example.com/home") + assert "https://example.com/about" in links + assert "https://example.com/contact" in links + + +def test_extract_links_keeps_only_http_schemes() -> None: + links = extract_links(_HTML, "https://example.com/home") + assert all(link.startswith(("http://", "https://")) for link in links) + assert not any("mailto" in link or "javascript" in link for link in links) + + +def test_extract_links_drops_pure_anchor() -> None: + links = extract_links(_HTML, "https://example.com/home") + assert "https://example.com/home" not in links # bare "#top" resolves to self + + +def test_extract_links_dedupes_preserving_first_occurrence() -> None: + links = extract_links(_HTML, "https://example.com/home") + assert links.count("https://example.com/about") == 1 + + +def test_extract_links_strips_fragments() -> None: + assert extract_links('x', "https://e.com") == [ + "https://e.com/p" + ] + + +def test_extract_links_on_empty_or_blank_html_is_empty() -> None: + assert extract_links("", "https://e.com") == [] + assert extract_links(" ", "https://e.com") == [] + assert extract_links(None, "https://e.com") == [] + + +def test_extract_link_records_classifies_kinds_and_keeps_anchor_text() -> None: + html = """ + About\n us + External + Jane Doe + Mail + Call + """ + records = {r["url"]: r for r in extract_link_records(html, "https://example.com/")} + assert records["https://example.com/about"]["kind"] == "internal" + assert records["https://example.com/about"]["text"] == "About us" # collapsed ws + assert records["https://other.com/x"]["kind"] == "external" + assert records["https://www.linkedin.com/in/jane"] == { + "url": "https://www.linkedin.com/in/jane", + "text": "Jane Doe", + "context": "", + "rel": "", + "kind": "social", + } + assert records["a@b.com"]["kind"] == "email" # mailto query stripped + assert records["+1-555-0100"]["kind"] == "tel" + + +def test_percent_encoded_tel_and_mailto_are_decoded() -> None: + """Seen live: must not leak %20.""" + html = """ + Call + Email + """ + records = {r["kind"]: r for r in extract_link_records(html, "https://example.com/")} + assert records["tel"]["url"] == "+1 408-629-1770" + assert records["email"]["url"] == "hello@acme.io" + + +def test_icon_only_social_link_gets_ancestor_context() -> None: + html = """ +
+

Jane Doe

General Partner

+ +
+ """ + (record,) = extract_link_records(html, "https://example.com/") + assert record["text"] == "" + assert record["context"] == "Jane Doe General Partner" + + +def test_icon_social_link_prefers_aria_label_over_context() -> None: + html = '
Footer
' + (record,) = extract_link_records(html, "https://example.com/") + assert record["text"] == "Acme on X" + assert record["context"] == "" + + +def test_extract_link_records_dedupes_keeping_first_nonempty_text() -> None: + html = 'Pricing' + records = extract_link_records(html, "https://example.com/") + assert records == [ + { + "url": "https://example.com/p", + "text": "Pricing", + "rel": "", + "kind": "internal", + } + ] + + +def test_host_of_strips_www_and_lowercases() -> None: + assert host_of("https://www.Example.com/x") == "example.com" + assert host_of("https://Example.com/x") == "example.com" diff --git a/surfsense_backend/tests/unit/routes/test_image_gen_quota.py b/surfsense_backend/tests/unit/routes/test_image_gen_quota.py index 3d94c6c51..b54309dfe 100644 --- a/surfsense_backend/tests/unit/routes/test_image_gen_quota.py +++ b/surfsense_backend/tests/unit/routes/test_image_gen_quota.py @@ -36,11 +36,11 @@ async def test_resolve_billing_for_auto_mode(monkeypatch): _no_auto_candidates, ) - search_space = SimpleNamespace(id=1, user_id=None, image_gen_model_id=None) + workspace = SimpleNamespace(id=1, user_id=None, image_gen_model_id=None) tier, model, reserve = await image_generation_routes._resolve_billing_for_image_gen( session=None, config_id=0, # IMAGE_GEN_AUTO_MODE_ID - search_space=search_space, + workspace=workspace, ) assert tier == "free" assert model == "auto" @@ -95,11 +95,11 @@ async def test_resolve_billing_for_premium_global_config(monkeypatch): raising=False, ) - search_space = SimpleNamespace(id=1, user_id=None, image_gen_model_id=None) + workspace = SimpleNamespace(id=1, user_id=None, image_gen_model_id=None) # Premium with override. tier, model, reserve = await image_generation_routes._resolve_billing_for_image_gen( - session=None, config_id=-1, search_space=search_space + session=None, config_id=-1, workspace=workspace ) assert tier == "premium" assert model == "openai/gpt-image-1" @@ -109,7 +109,7 @@ async def test_resolve_billing_for_premium_global_config(monkeypatch): from app.services.billable_calls import DEFAULT_IMAGE_RESERVE_MICROS tier, model, reserve = await image_generation_routes._resolve_billing_for_image_gen( - session=None, config_id=-2, search_space=search_space + session=None, config_id=-2, workspace=workspace ) assert tier == "free" # Provider-prefixed model string for OpenRouter. @@ -125,9 +125,9 @@ async def test_resolve_billing_for_user_owned_byok_is_free(): from app.routes import image_generation_routes from app.services.billable_calls import DEFAULT_IMAGE_RESERVE_MICROS - search_space = SimpleNamespace(id=1, user_id=None, image_gen_model_id=None) + workspace = SimpleNamespace(id=1, user_id=None, image_gen_model_id=None) tier, model, reserve = await image_generation_routes._resolve_billing_for_image_gen( - session=None, config_id=42, search_space=search_space + session=None, config_id=42, workspace=workspace ) assert tier == "free" assert model == "user_byok" @@ -135,9 +135,9 @@ async def test_resolve_billing_for_user_owned_byok_is_free(): @pytest.mark.asyncio -async def test_resolve_billing_falls_back_to_search_space_default(monkeypatch): +async def test_resolve_billing_falls_back_to_workspace_default(monkeypatch): """When the request omits ``image_gen_model_id``, the helper - must consult the search space's default — so a search space pinned + must consult the workspace's default — so a workspace pinned to a premium global config still gates new requests by quota. """ from app.config import config @@ -172,13 +172,13 @@ async def test_resolve_billing_falls_back_to_search_space_default(monkeypatch): raising=False, ) - search_space = SimpleNamespace(id=1, user_id=None, image_gen_model_id=-7) + workspace = SimpleNamespace(id=1, user_id=None, image_gen_model_id=-7) ( tier, model, _reserve, ) = await image_generation_routes._resolve_billing_for_image_gen( - session=None, config_id=None, search_space=search_space + session=None, config_id=None, workspace=workspace ) assert tier == "premium" assert model == "openai/gpt-image-1" diff --git a/surfsense_backend/tests/unit/routes/test_regenerate_from_message_id.py b/surfsense_backend/tests/unit/routes/test_regenerate_from_message_id.py index 709014d55..2209628de 100644 --- a/surfsense_backend/tests/unit/routes/test_regenerate_from_message_id.py +++ b/surfsense_backend/tests/unit/routes/test_regenerate_from_message_id.py @@ -117,7 +117,7 @@ class TestRegenerateRequestValidation: def test_revert_actions_requires_from_message_id(self) -> None: with pytest.raises(Exception) as exc: RegenerateRequest( - search_space_id=1, + workspace_id=1, user_query="hi", revert_actions=True, ) @@ -126,7 +126,7 @@ class TestRegenerateRequestValidation: def test_from_message_id_without_revert_is_allowed(self) -> None: req = RegenerateRequest( - search_space_id=1, + workspace_id=1, user_query="hi", from_message_id=42, ) @@ -135,7 +135,7 @@ class TestRegenerateRequestValidation: def test_revert_actions_with_from_message_id_passes(self) -> None: req = RegenerateRequest( - search_space_id=1, + workspace_id=1, user_query="hi", from_message_id=42, revert_actions=True, diff --git a/surfsense_backend/tests/unit/services/test_agent_billing_resolver.py b/surfsense_backend/tests/unit/services/test_agent_billing_resolver.py index b43540ba7..da486b77c 100644 --- a/surfsense_backend/tests/unit/services/test_agent_billing_resolver.py +++ b/surfsense_backend/tests/unit/services/test_agent_billing_resolver.py @@ -1,4 +1,4 @@ -"""Unit tests for ``_resolve_agent_billing_for_search_space``.""" +"""Unit tests for ``_resolve_agent_billing_for_workspace``.""" from __future__ import annotations @@ -39,7 +39,7 @@ class _FakePinResolution: from_existing_pin: bool = False -def _make_search_space(*, chat_model_id: int | None, user_id: UUID) -> SimpleNamespace: +def _make_workspace(*, chat_model_id: int | None, user_id: UUID) -> SimpleNamespace: return SimpleNamespace(id=42, chat_model_id=chat_model_id, user_id=user_id) @@ -50,16 +50,16 @@ def _make_byok_model( id=id_, model_id=model_id, catalog={"base_model": base_model} if base_model else {}, - connection=SimpleNamespace(enabled=True, search_space_id=42, user_id=None), + connection=SimpleNamespace(enabled=True, workspace_id=42, user_id=None), ) @pytest.mark.asyncio async def test_auto_mode_with_thread_id_resolves_to_premium_global(monkeypatch): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - session = _FakeSession([_make_search_space(chat_model_id=0, user_id=user_id)]) + session = _FakeSession([_make_workspace(chat_model_id=0, user_id=user_id)]) async def _fake_resolve_pin(*_args, **kwargs): assert kwargs["selected_llm_config_id"] == 0 @@ -84,8 +84,8 @@ async def test_auto_mode_with_thread_id_resolves_to_premium_global(monkeypatch): ) monkeypatch.setattr(llm_module, "get_global_llm_config", _fake_get_global) - owner, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id=42, thread_id=99 + owner, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id=42, thread_id=99 ) assert owner == user_id @@ -95,14 +95,14 @@ async def test_auto_mode_with_thread_id_resolves_to_premium_global(monkeypatch): @pytest.mark.asyncio async def test_auto_mode_with_thread_id_resolves_to_byok_is_free(monkeypatch): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - search_space = _make_search_space(chat_model_id=0, user_id=user_id) + workspace = _make_workspace(chat_model_id=0, user_id=user_id) byok_model = _make_byok_model( id_=17, base_model="anthropic/claude-3-haiku", model_id="my-claude" ) - session = _FakeSession([search_space, byok_model]) + session = _FakeSession([workspace, byok_model]) async def _fake_resolve_pin(*_args, **_kwargs): return _FakePinResolution(resolved_llm_config_id=17, resolved_tier="free") @@ -113,8 +113,8 @@ async def test_auto_mode_with_thread_id_resolves_to_byok_is_free(monkeypatch): pin_module, "resolve_or_get_pinned_llm_config_id", _fake_resolve_pin ) - owner, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id=42, thread_id=99 + owner, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id=42, thread_id=99 ) assert owner == user_id @@ -124,13 +124,13 @@ async def test_auto_mode_with_thread_id_resolves_to_byok_is_free(monkeypatch): @pytest.mark.asyncio async def test_auto_mode_without_thread_id_falls_back_to_free(): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - session = _FakeSession([_make_search_space(chat_model_id=0, user_id=user_id)]) + session = _FakeSession([_make_workspace(chat_model_id=0, user_id=user_id)]) - owner, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id=42, thread_id=None + owner, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id=42, thread_id=None ) assert owner == user_id @@ -140,10 +140,10 @@ async def test_auto_mode_without_thread_id_falls_back_to_free(): @pytest.mark.asyncio async def test_auto_mode_pin_failure_falls_back_to_free(monkeypatch): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - session = _FakeSession([_make_search_space(chat_model_id=0, user_id=user_id)]) + session = _FakeSession([_make_workspace(chat_model_id=0, user_id=user_id)]) async def _fake_resolve_pin(*args, **kwargs): raise ValueError("thread missing") @@ -154,8 +154,8 @@ async def test_auto_mode_pin_failure_falls_back_to_free(monkeypatch): pin_module, "resolve_or_get_pinned_llm_config_id", _fake_resolve_pin ) - owner, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id=42, thread_id=99 + owner, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id=42, thread_id=99 ) assert owner == user_id @@ -165,10 +165,10 @@ async def test_auto_mode_pin_failure_falls_back_to_free(monkeypatch): @pytest.mark.asyncio async def test_negative_id_premium_global_returns_premium(monkeypatch): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - session = _FakeSession([_make_search_space(chat_model_id=-1, user_id=user_id)]) + session = _FakeSession([_make_workspace(chat_model_id=-1, user_id=user_id)]) def _fake_get_global(cfg_id): return { @@ -182,8 +182,8 @@ async def test_negative_id_premium_global_returns_premium(monkeypatch): monkeypatch.setattr(llm_module, "get_global_llm_config", _fake_get_global) - owner, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id=42, thread_id=99 + owner, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id=42, thread_id=99 ) assert owner == user_id @@ -193,10 +193,10 @@ async def test_negative_id_premium_global_returns_premium(monkeypatch): @pytest.mark.asyncio async def test_negative_id_missing_base_model_falls_back_to_model_name(monkeypatch): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - session = _FakeSession([_make_search_space(chat_model_id=-5, user_id=user_id)]) + session = _FakeSession([_make_workspace(chat_model_id=-5, user_id=user_id)]) def _fake_get_global(cfg_id): return {"id": cfg_id, "model_name": "fallback-model", "billing_tier": "premium"} @@ -205,8 +205,8 @@ async def test_negative_id_missing_base_model_falls_back_to_model_name(monkeypat monkeypatch.setattr(llm_module, "get_global_llm_config", _fake_get_global) - _, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id=42 + _, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id=42 ) assert tier == "premium" @@ -215,15 +215,15 @@ async def test_negative_id_missing_base_model_falls_back_to_model_name(monkeypat @pytest.mark.asyncio async def test_positive_id_byok_is_always_free(): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - search_space = _make_search_space(chat_model_id=23, user_id=user_id) + workspace = _make_workspace(chat_model_id=23, user_id=user_id) byok_model = _make_byok_model(id_=23, base_model="anthropic/claude-3.5-sonnet") - session = _FakeSession([search_space, byok_model]) + session = _FakeSession([workspace, byok_model]) - owner, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id=42 + owner, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id=42 ) assert owner == user_id @@ -233,13 +233,13 @@ async def test_positive_id_byok_is_always_free(): @pytest.mark.asyncio async def test_positive_id_byok_missing_returns_free_with_empty_base_model(): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - session = _FakeSession([_make_search_space(chat_model_id=99, user_id=user_id)]) + session = _FakeSession([_make_workspace(chat_model_id=99, user_id=user_id)]) - owner, tier, base_model = await _resolve_agent_billing_for_search_space( - session, search_space_id=42 + owner, tier, base_model = await _resolve_agent_billing_for_workspace( + session, workspace_id=42 ) assert owner == user_id @@ -248,21 +248,21 @@ async def test_positive_id_byok_missing_returns_free_with_empty_base_model(): @pytest.mark.asyncio -async def test_search_space_not_found_raises_value_error(): - from app.services.billable_calls import _resolve_agent_billing_for_search_space +async def test_workspace_not_found_raises_value_error(): + from app.services.billable_calls import _resolve_agent_billing_for_workspace - with pytest.raises(ValueError, match="Search space"): - await _resolve_agent_billing_for_search_space( - _FakeSession([None]), search_space_id=999 + with pytest.raises(ValueError, match="Workspace"): + await _resolve_agent_billing_for_workspace( + _FakeSession([None]), workspace_id=999 ) @pytest.mark.asyncio async def test_chat_model_id_none_raises_value_error(): - from app.services.billable_calls import _resolve_agent_billing_for_search_space + from app.services.billable_calls import _resolve_agent_billing_for_workspace user_id = uuid4() - session = _FakeSession([_make_search_space(chat_model_id=None, user_id=user_id)]) + session = _FakeSession([_make_workspace(chat_model_id=None, user_id=user_id)]) with pytest.raises(ValueError, match="chat_model_id"): - await _resolve_agent_billing_for_search_space(session, search_space_id=42) + await _resolve_agent_billing_for_workspace(session, workspace_id=42) diff --git a/surfsense_backend/tests/unit/services/test_ai_file_sort_service.py b/surfsense_backend/tests/unit/services/test_ai_file_sort_service.py deleted file mode 100644 index 860c2ffa2..000000000 --- a/surfsense_backend/tests/unit/services/test_ai_file_sort_service.py +++ /dev/null @@ -1,275 +0,0 @@ -"""Unit tests for AI file sort service: folder label resolution, date extraction, category sanitization.""" - -from datetime import UTC, datetime -from unittest.mock import AsyncMock, MagicMock - -import pytest - -pytestmark = pytest.mark.unit - - -# ── resolve_root_folder_label ── - - -def _make_document(document_type: str, connector_id=None): - doc = MagicMock() - doc.document_type = document_type - doc.connector_id = connector_id - return doc - - -def _make_connector(connector_type: str): - conn = MagicMock() - conn.connector_type = connector_type - return conn - - -def test_root_label_uses_connector_type_when_available(): - from app.services.ai_file_sort_service import resolve_root_folder_label - - doc = _make_document("FILE", connector_id=1) - conn = _make_connector("GOOGLE_DRIVE_CONNECTOR") - assert resolve_root_folder_label(doc, conn) == "Google Drive" - - -def test_root_label_falls_back_to_document_type(): - from app.services.ai_file_sort_service import resolve_root_folder_label - - doc = _make_document("SLACK_CONNECTOR") - assert resolve_root_folder_label(doc, None) == "Slack" - - -def test_root_label_unknown_doctype_returns_raw_value(): - from app.services.ai_file_sort_service import resolve_root_folder_label - - doc = _make_document("UNKNOWN_TYPE") - assert resolve_root_folder_label(doc, None) == "UNKNOWN_TYPE" - - -# ── resolve_date_folder ── - - -def test_date_folder_from_updated_at(): - from app.services.ai_file_sort_service import resolve_date_folder - - doc = MagicMock() - doc.updated_at = datetime(2025, 3, 15, 10, 30, 0, tzinfo=UTC) - doc.created_at = datetime(2025, 1, 1, 0, 0, 0, tzinfo=UTC) - assert resolve_date_folder(doc) == "2025-03-15" - - -def test_date_folder_falls_back_to_created_at(): - from app.services.ai_file_sort_service import resolve_date_folder - - doc = MagicMock() - doc.updated_at = None - doc.created_at = datetime(2024, 12, 25, 23, 59, 0, tzinfo=UTC) - assert resolve_date_folder(doc) == "2024-12-25" - - -def test_date_folder_both_none_uses_today(): - from app.services.ai_file_sort_service import resolve_date_folder - - doc = MagicMock() - doc.updated_at = None - doc.created_at = None - result = resolve_date_folder(doc) - today = datetime.now(UTC).strftime("%Y-%m-%d") - assert result == today - - -# ── sanitize_category_folder_name ── - - -def test_sanitize_normal_value(): - from app.services.ai_file_sort_service import sanitize_category_folder_name - - assert sanitize_category_folder_name("Machine Learning") == "Machine Learning" - - -def test_sanitize_strips_special_chars(): - from app.services.ai_file_sort_service import sanitize_category_folder_name - - assert sanitize_category_folder_name("Tax/Reports!") == "TaxReports" - - -def test_sanitize_empty_returns_fallback(): - from app.services.ai_file_sort_service import sanitize_category_folder_name - - assert sanitize_category_folder_name("") == "Uncategorized" - assert sanitize_category_folder_name(None) == "Uncategorized" - - -def test_sanitize_truncates_long_names(): - from app.services.ai_file_sort_service import sanitize_category_folder_name - - long_name = "A" * 100 - result = sanitize_category_folder_name(long_name) - assert len(result) <= 50 - - -# ── generate_ai_taxonomy ── - - -@pytest.mark.asyncio -async def test_generate_ai_taxonomy_parses_json(): - from app.services.ai_file_sort_service import generate_ai_taxonomy - - mock_llm = AsyncMock() - mock_result = MagicMock() - mock_result.content = '{"category": "Science", "subcategory": "Physics"}' - mock_llm.ainvoke.return_value = mock_result - - cat, sub = await generate_ai_taxonomy( - "Physics Paper", "Some science document about physics", mock_llm - ) - assert cat == "Science" - assert sub == "Physics" - - -@pytest.mark.asyncio -async def test_generate_ai_taxonomy_handles_markdown_code_block(): - from app.services.ai_file_sort_service import generate_ai_taxonomy - - mock_llm = AsyncMock() - mock_result = MagicMock() - mock_result.content = ( - '```json\n{"category": "Finance", "subcategory": "Tax Reports"}\n```' - ) - mock_llm.ainvoke.return_value = mock_result - - cat, sub = await generate_ai_taxonomy("Tax Doc", "A tax report document", mock_llm) - assert cat == "Finance" - assert sub == "Tax Reports" - - -@pytest.mark.asyncio -async def test_generate_ai_taxonomy_includes_title_in_prompt(): - from app.services.ai_file_sort_service import generate_ai_taxonomy - - mock_llm = AsyncMock() - mock_result = MagicMock() - mock_result.content = '{"category": "Engineering", "subcategory": "Backend"}' - mock_llm.ainvoke.return_value = mock_result - - await generate_ai_taxonomy("API Design Guide", "content about REST APIs", mock_llm) - - prompt_text = mock_llm.ainvoke.call_args[0][0][0].content - assert "API Design Guide" in prompt_text - assert "content about REST APIs" in prompt_text - - -@pytest.mark.asyncio -async def test_generate_ai_taxonomy_fallback_on_error(): - from app.services.ai_file_sort_service import generate_ai_taxonomy - - mock_llm = AsyncMock() - mock_llm.ainvoke.side_effect = RuntimeError("LLM down") - - cat, sub = await generate_ai_taxonomy("Title", "some content", mock_llm) - assert cat == "Uncategorized" - assert sub == "General" - - -@pytest.mark.asyncio -async def test_generate_ai_taxonomy_fallback_on_empty_content(): - from app.services.ai_file_sort_service import generate_ai_taxonomy - - mock_llm = AsyncMock() - cat, sub = await generate_ai_taxonomy("Title", "", mock_llm) - assert cat == "Uncategorized" - assert sub == "General" - mock_llm.ainvoke.assert_not_called() - - -@pytest.mark.asyncio -async def test_generate_ai_taxonomy_fallback_on_invalid_json(): - from app.services.ai_file_sort_service import generate_ai_taxonomy - - mock_llm = AsyncMock() - mock_result = MagicMock() - mock_result.content = "not valid json at all" - mock_llm.ainvoke.return_value = mock_result - - cat, sub = await generate_ai_taxonomy("Title", "some content", mock_llm) - assert cat == "Uncategorized" - assert sub == "General" - - -# ── taxonomy caching ── - - -def test_get_cached_taxonomy_returns_none_when_no_metadata(): - from app.services.ai_file_sort_service import _get_cached_taxonomy - - doc = MagicMock() - doc.document_metadata = None - assert _get_cached_taxonomy(doc) is None - - -def test_get_cached_taxonomy_returns_none_when_keys_missing(): - from app.services.ai_file_sort_service import _get_cached_taxonomy - - doc = MagicMock() - doc.document_metadata = {"some_other_key": "value"} - assert _get_cached_taxonomy(doc) is None - - -def test_get_cached_taxonomy_returns_cached_values(): - from app.services.ai_file_sort_service import _get_cached_taxonomy - - doc = MagicMock() - doc.document_metadata = { - "ai_sort_category": "Finance", - "ai_sort_subcategory": "Tax Reports", - } - assert _get_cached_taxonomy(doc) == ("Finance", "Tax Reports") - - -def test_set_cached_taxonomy_persists_on_metadata(): - from app.services.ai_file_sort_service import _set_cached_taxonomy - - doc = MagicMock() - doc.document_metadata = {"existing_key": "keep_me"} - _set_cached_taxonomy(doc, "Science", "Physics") - assert doc.document_metadata["ai_sort_category"] == "Science" - assert doc.document_metadata["ai_sort_subcategory"] == "Physics" - assert doc.document_metadata["existing_key"] == "keep_me" - - -def test_set_cached_taxonomy_creates_metadata_when_none(): - from app.services.ai_file_sort_service import _set_cached_taxonomy - - doc = MagicMock() - doc.document_metadata = None - _set_cached_taxonomy(doc, "Engineering", "Backend") - assert doc.document_metadata == { - "ai_sort_category": "Engineering", - "ai_sort_subcategory": "Backend", - } - - -# ── _build_path_segments ── - - -def test_build_path_segments_structure(): - from app.services.ai_file_sort_service import _build_path_segments - - segments = _build_path_segments("Google Drive", "2025-03-15", "Science", "Physics") - assert len(segments) == 4 - assert segments[0] == { - "name": "Google Drive", - "metadata": {"ai_sort": True, "ai_sort_level": 1}, - } - assert segments[1] == { - "name": "2025-03-15", - "metadata": {"ai_sort": True, "ai_sort_level": 2}, - } - assert segments[2] == { - "name": "Science", - "metadata": {"ai_sort": True, "ai_sort_level": 3}, - } - assert segments[3] == { - "name": "Physics", - "metadata": {"ai_sort": True, "ai_sort_level": 4}, - } diff --git a/surfsense_backend/tests/unit/services/test_ai_sort_task_dedupe.py b/surfsense_backend/tests/unit/services/test_ai_sort_task_dedupe.py deleted file mode 100644 index fd9018514..000000000 --- a/surfsense_backend/tests/unit/services/test_ai_sort_task_dedupe.py +++ /dev/null @@ -1,43 +0,0 @@ -"""Unit tests for AI sort task Redis deduplication lock.""" - -from unittest.mock import MagicMock, patch - -import pytest - -pytestmark = pytest.mark.unit - - -def test_lock_key_format(): - from app.tasks.celery_tasks.document_tasks import _ai_sort_lock_key - - key = _ai_sort_lock_key(42) - assert key == "ai_sort:search_space:42:lock" - - -def test_lock_prevents_duplicate_run(): - """When the Redis lock already exists, the task should skip execution.""" - - mock_redis = MagicMock() - mock_redis.set.return_value = False # Lock already held - - with ( - patch( - "app.tasks.celery_tasks.document_tasks._get_ai_sort_redis", - return_value=mock_redis, - ), - patch( - "app.tasks.celery_tasks.document_tasks.get_celery_session_maker" - ) as mock_session_maker, - ): - import asyncio - - from app.tasks.celery_tasks.document_tasks import _ai_sort_search_space_async - - loop = asyncio.new_event_loop() - try: - loop.run_until_complete(_ai_sort_search_space_async(1, "user-123")) - finally: - loop.close() - - # Session maker should never be called since lock was not acquired - mock_session_maker.assert_not_called() diff --git a/surfsense_backend/tests/unit/services/test_auto_model_pin_service.py b/surfsense_backend/tests/unit/services/test_auto_model_pin_service.py index 598e9b1ab..909fcbd95 100644 --- a/surfsense_backend/tests/unit/services/test_auto_model_pin_service.py +++ b/surfsense_backend/tests/unit/services/test_auto_model_pin_service.py @@ -140,12 +140,12 @@ def _set_global_llm_configs(monkeypatch, config, configs: list[dict]): def _thread( *, - search_space_id: int = 10, + workspace_id: int = 10, pinned_llm_config_id: int | None = None, ): return SimpleNamespace( id=1, - search_space_id=search_space_id, + workspace_id=workspace_id, pinned_llm_config_id=pinned_llm_config_id, ) @@ -186,7 +186,7 @@ async def test_auto_first_turn_pins_one_model(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -234,7 +234,7 @@ async def test_premium_eligible_auto_prefers_premium_over_free(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -321,7 +321,7 @@ async def test_premium_eligible_auto_uses_quality_pool_not_single_preferred_mode result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -361,7 +361,7 @@ async def test_next_turn_reuses_existing_pin(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -400,7 +400,7 @@ async def test_premium_eligible_auto_can_pin_premium(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -445,7 +445,7 @@ async def test_premium_ineligible_auto_pins_free_only(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -490,7 +490,7 @@ async def test_pinned_premium_stays_premium_after_quota_exhaustion(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -535,7 +535,7 @@ async def test_force_repin_free_switches_auto_premium_pin_to_free(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, force_repin_free=True, @@ -567,7 +567,7 @@ async def test_explicit_user_model_change_clears_pin(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=7, ) @@ -605,7 +605,7 @@ async def test_invalid_pinned_config_repairs_with_new_pin(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -664,7 +664,7 @@ async def test_health_gated_config_is_excluded_from_selection(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -716,7 +716,7 @@ async def test_tier_a_locks_first_premium_user_skips_or(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -768,7 +768,7 @@ async def test_tier_a_falls_through_to_or_when_a_pool_empty_for_user(monkeypatch result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -825,7 +825,7 @@ async def test_top_k_picks_only_high_score_models(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=thread_id, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -889,7 +889,7 @@ async def test_pin_reuse_survives_health_gating_for_existing_pin(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -941,7 +941,7 @@ async def test_pin_reuse_regression_existing_healthy_pin(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -1001,7 +1001,7 @@ async def test_runtime_cooled_down_pin_is_not_reused(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -1069,7 +1069,7 @@ async def test_shared_runtime_cooldown_blocks_pin_across_workers(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -1113,7 +1113,7 @@ async def test_clearing_runtime_cooldown_restores_pin_reuse(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, ) @@ -1165,7 +1165,7 @@ async def test_auto_pin_repin_excludes_previous_config_on_runtime_retry(monkeypa result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id="00000000-0000-0000-0000-000000000001", selected_llm_config_id=0, exclude_config_ids={-1}, diff --git a/surfsense_backend/tests/unit/services/test_auto_pin_image_aware.py b/surfsense_backend/tests/unit/services/test_auto_pin_image_aware.py index c1e66feb9..993a0e439 100644 --- a/surfsense_backend/tests/unit/services/test_auto_pin_image_aware.py +++ b/surfsense_backend/tests/unit/services/test_auto_pin_image_aware.py @@ -76,7 +76,7 @@ class _FakeSession: def _thread(*, pinned: int | None = None): - return SimpleNamespace(id=1, search_space_id=10, pinned_llm_config_id=pinned) + return SimpleNamespace(id=1, workspace_id=10, pinned_llm_config_id=pinned) def _set_global_llm_configs(monkeypatch, config, configs: list[dict]): @@ -179,7 +179,7 @@ async def test_image_turn_filters_out_text_only_candidates(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id=None, selected_llm_config_id=0, requires_image_input=True, @@ -207,7 +207,7 @@ async def test_image_turn_force_repins_stale_text_only_pin(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id=None, selected_llm_config_id=0, requires_image_input=True, @@ -239,7 +239,7 @@ async def test_image_turn_reuses_existing_vision_pin(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id=None, selected_llm_config_id=0, requires_image_input=True, @@ -269,7 +269,7 @@ async def test_image_turn_with_no_vision_candidates_raises(monkeypatch): await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id=None, selected_llm_config_id=0, requires_image_input=True, @@ -292,7 +292,7 @@ async def test_non_image_turn_keeps_text_only_in_pool(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id=None, selected_llm_config_id=0, ) @@ -326,7 +326,7 @@ async def test_image_turn_unannotated_cfg_resolves_via_helper(monkeypatch): result = await resolve_or_get_pinned_llm_config_id( session, thread_id=1, - search_space_id=10, + workspace_id=10, user_id=None, selected_llm_config_id=0, requires_image_input=True, diff --git a/surfsense_backend/tests/unit/services/test_billable_call.py b/surfsense_backend/tests/unit/services/test_billable_call.py index 8e2c2f1da..a117037bf 100644 --- a/surfsense_backend/tests/unit/services/test_billable_call.py +++ b/surfsense_backend/tests/unit/services/test_billable_call.py @@ -169,7 +169,7 @@ async def test_free_path_skips_reserve_but_writes_audit_row(monkeypatch): async with billable_call( user_id=user_id, - search_space_id=42, + workspace_id=42, billing_tier="free", base_model="openai/gpt-image-1", usage_type="image_generation", @@ -210,7 +210,7 @@ async def test_premium_reserve_denied_raises_quota_insufficient(monkeypatch): with pytest.raises(QuotaInsufficientError) as exc_info: async with billable_call( user_id=user_id, - search_space_id=42, + workspace_id=42, billing_tier="premium", base_model="openai/gpt-image-1", quota_reserve_micros_override=50_000, @@ -242,7 +242,7 @@ async def test_premium_success_finalizes_with_actual_cost(monkeypatch): async with billable_call( user_id=user_id, - search_space_id=42, + workspace_id=42, billing_tier="premium", base_model="openai/gpt-image-1", quota_reserve_micros_override=50_000, @@ -292,7 +292,7 @@ async def test_premium_failure_releases_reservation(monkeypatch): with pytest.raises(_ProviderError): async with billable_call( user_id=user_id, - search_space_id=42, + workspace_id=42, billing_tier="premium", base_model="openai/gpt-image-1", quota_reserve_micros_override=50_000, @@ -336,7 +336,7 @@ async def test_premium_uses_estimator_when_no_micros_override(monkeypatch): user_id = uuid4() async with billable_call( user_id=user_id, - search_space_id=1, + workspace_id=1, billing_tier="premium", base_model="openai/gpt-4o", quota_reserve_tokens=4000, @@ -367,7 +367,7 @@ async def test_premium_finalize_failure_propagates_and_releases(monkeypatch): with pytest.raises(BillingSettlementError): async with billable_call( user_id=user_id, - search_space_id=42, + workspace_id=42, billing_tier="premium", base_model="openai/gpt-image-1", quota_reserve_micros_override=50_000, @@ -408,7 +408,7 @@ async def test_premium_audit_commit_hang_times_out_after_finalize(monkeypatch): async with billable_call( user_id=user_id, - search_space_id=42, + workspace_id=42, billing_tier="premium", base_model="openai/gpt-image-1", quota_reserve_micros_override=50_000, @@ -450,7 +450,7 @@ async def test_free_audit_failure_is_best_effort(monkeypatch): async with billable_call( user_id=uuid4(), - search_space_id=42, + workspace_id=42, billing_tier="free", base_model="openai/gpt-image-1", usage_type="image_generation", @@ -488,7 +488,7 @@ async def test_free_podcast_path_audits_with_podcast_usage_type(monkeypatch): async with billable_call( user_id=user_id, - search_space_id=42, + workspace_id=42, billing_tier="free", base_model="openrouter/some-free-model", quota_reserve_micros_override=200_000, @@ -514,7 +514,7 @@ async def test_free_podcast_path_audits_with_podcast_usage_type(monkeypatch): row = spies["record"][0] assert row["usage_type"] == "podcast_generation" assert row["thread_id"] is None - assert row["search_space_id"] == 42 + assert row["workspace_id"] == 42 assert row["call_details"] == {"podcast_id": 7, "title": "Test Podcast"} @@ -539,7 +539,7 @@ async def test_premium_video_denial_raises_quota_insufficient(monkeypatch): with pytest.raises(QuotaInsufficientError) as exc_info: async with billable_call( user_id=user_id, - search_space_id=42, + workspace_id=42, billing_tier="premium", base_model="gpt-5.4", quota_reserve_micros_override=1_000_000, diff --git a/surfsense_backend/tests/unit/services/test_folder_hierarchy.py b/surfsense_backend/tests/unit/services/test_folder_hierarchy.py index 9077f6b0e..d444b1a7d 100644 --- a/surfsense_backend/tests/unit/services/test_folder_hierarchy.py +++ b/surfsense_backend/tests/unit/services/test_folder_hierarchy.py @@ -49,8 +49,8 @@ async def test_creates_missing_folders_in_chain(): session.flush = mock_flush segments = [ - {"name": "Slack", "metadata": {"ai_sort": True, "ai_sort_level": 1}}, - {"name": "2025-03-15", "metadata": {"ai_sort": True, "ai_sort_level": 2}}, + {"name": "Slack", "metadata": {"source": "slack"}}, + {"name": "2025-03-15", "metadata": {"source": "slack"}}, ] result = await ensure_folder_hierarchy_with_depth_validation( diff --git a/surfsense_backend/tests/unit/services/test_image_gen_api_base_defense.py b/surfsense_backend/tests/unit/services/test_image_gen_api_base_defense.py index adcfeed48..d6cc7ba2a 100644 --- a/surfsense_backend/tests/unit/services/test_image_gen_api_base_defense.py +++ b/surfsense_backend/tests/unit/services/test_image_gen_api_base_defense.py @@ -46,8 +46,8 @@ async def test_global_openrouter_image_gen_sets_explicit_api_base(): image_gen.response_format = None image_gen.model = None - search_space = MagicMock() - search_space.image_gen_model_id = global_model["id"] + workspace = MagicMock() + workspace.image_gen_model_id = global_model["id"] session = MagicMock() with ( @@ -68,7 +68,7 @@ async def test_global_openrouter_image_gen_sets_explicit_api_base(): ), ): await image_generation_routes._execute_image_generation( - session=session, image_gen=image_gen, search_space=search_space + session=session, image_gen=image_gen, workspace=workspace ) assert captured.get("api_base") == "https://openrouter.ai/api/v1" @@ -109,16 +109,16 @@ async def test_generate_image_tool_global_sets_explicit_api_base(): response._hidden_params = {"model": "openrouter/openai/gpt-image-1"} return response - search_space = MagicMock() - search_space.id = 1 - search_space.image_gen_model_id = global_model["id"] + workspace = MagicMock() + workspace.id = 1 + workspace.image_gen_model_id = global_model["id"] session_cm = AsyncMock() session = AsyncMock() session_cm.__aenter__.return_value = session scalars = MagicMock() - scalars.first.return_value = search_space + scalars.first.return_value = workspace exec_result = MagicMock() exec_result.scalars.return_value = scalars session.execute.return_value = exec_result @@ -146,7 +146,7 @@ async def test_generate_image_tool_global_sets_explicit_api_base(): ), ): tool = gi_module.create_generate_image_tool( - search_space_id=1, db_session=MagicMock() + workspace_id=1, db_session=MagicMock() ) # The live tool takes an injected ToolRuntime and returns a Command; # drive the raw coroutine with a minimal runtime (the tool only reads diff --git a/surfsense_backend/tests/unit/services/test_quota_checked_vision_llm.py b/surfsense_backend/tests/unit/services/test_quota_checked_vision_llm.py index 0f5dd531f..f50564141 100644 --- a/surfsense_backend/tests/unit/services/test_quota_checked_vision_llm.py +++ b/surfsense_backend/tests/unit/services/test_quota_checked_vision_llm.py @@ -77,7 +77,7 @@ async def test_ainvoke_routes_through_billable_call(monkeypatch): wrapper = QuotaCheckedVisionLLM( inner, user_id=user_id, - search_space_id=99, + workspace_id=99, billing_tier="premium", base_model="openai/gpt-4o", quota_reserve_tokens=4000, @@ -89,7 +89,7 @@ async def test_ainvoke_routes_through_billable_call(monkeypatch): assert len(captured_kwargs) == 1 bc_kwargs = captured_kwargs[0] assert bc_kwargs["user_id"] == user_id - assert bc_kwargs["search_space_id"] == 99 + assert bc_kwargs["workspace_id"] == 99 assert bc_kwargs["billing_tier"] == "premium" assert bc_kwargs["base_model"] == "openai/gpt-4o" assert bc_kwargs["quota_reserve_tokens"] == 4000 @@ -120,7 +120,7 @@ async def test_ainvoke_propagates_quota_insufficient_error(monkeypatch): wrapper = QuotaCheckedVisionLLM( inner, user_id=uuid4(), - search_space_id=1, + workspace_id=1, billing_tier="premium", base_model="openai/gpt-4o", quota_reserve_tokens=4000, @@ -146,7 +146,7 @@ async def test_proxies_non_overridden_attributes_to_inner(): wrapper = QuotaCheckedVisionLLM( inner, user_id=uuid4(), - search_space_id=1, + workspace_id=1, billing_tier="premium", base_model="openai/gpt-4o", quota_reserve_tokens=4000, diff --git a/surfsense_backend/tests/unit/services/test_revert_filesystem_tools.py b/surfsense_backend/tests/unit/services/test_revert_filesystem_tools.py index 95314741a..d614f5e61 100644 --- a/surfsense_backend/tests/unit/services/test_revert_filesystem_tools.py +++ b/surfsense_backend/tests/unit/services/test_revert_filesystem_tools.py @@ -93,7 +93,7 @@ def _action(*, tool_name: str, action_id: int = 7): id=action_id, tool_name=tool_name, thread_id=1, - search_space_id=2, + workspace_id=2, user_id="user-1", reverse_descriptor=None, ) @@ -111,7 +111,7 @@ def _doc_revision( revision = MagicMock() revision.id = 100 revision.document_id = document_id - revision.search_space_id = 2 + revision.workspace_id = 2 revision.content_before = content_before revision.title_before = title_before revision.folder_id_before = folder_id_before @@ -130,7 +130,7 @@ def _folder_revision( revision = MagicMock() revision.id = 200 revision.folder_id = folder_id - revision.search_space_id = 2 + revision.workspace_id = 2 revision.name_before = name_before revision.parent_id_before = parent_id_before revision.position_before = position_before diff --git a/surfsense_backend/tests/unit/services/test_web_crawl_credit_service.py b/surfsense_backend/tests/unit/services/test_web_crawl_credit_service.py new file mode 100644 index 000000000..ef806cfeb --- /dev/null +++ b/surfsense_backend/tests/unit/services/test_web_crawl_credit_service.py @@ -0,0 +1,243 @@ +"""Unit tests for WebCrawlCreditService and the chat-scrape fold helper (Phase 3c). + +Covers: + A) successes_to_micros — config-driven price (the single source of truth), + including retune behaviour. + B) billing_enabled gate. + C) check_credits — sufficient / insufficient / disabled no-op. + D) charge_credits — debit / disabled no-op / zero no-op. + E) Chat-scrape fold helper — folds one success into the turn accumulator only + when billing is enabled and a turn is active. + +The wallet logic runs against the real service with a mock DB session at the +system boundary (mirrors tests/unit/connector_indexers/test_etl_credits.py). +""" + +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from app.config import config +from app.services.etl_credit_service import InsufficientCreditsError +from app.services.web_crawl_credit_service import WebCrawlCreditService + +pytestmark = pytest.mark.unit + +_USER_ID = "00000000-0000-0000-0000-000000000001" + + +@pytest.fixture(autouse=True) +def _enable_crawl_billing(monkeypatch): + """Force crawl billing ON; default is off (self-hosted) which no-ops everything.""" + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_MICROS_PER_SUCCESS", 1000) + + +@pytest.fixture(autouse=True) +def _stub_auto_reload(monkeypatch): + """charge_credits fires a best-effort auto-reload check; stub it out.""" + import app.services.auto_reload_service as _ar + + monkeypatch.setattr(_ar, "maybe_trigger_auto_reload", AsyncMock()) + + +class _FakeUser: + def __init__(self, balance_micros: int = 0, reserved_micros: int = 0): + self.credit_micros_balance = balance_micros + self.credit_micros_reserved = reserved_micros + + +def _make_session(balance_micros: int = 100_000, reserved_micros: int = 0): + """Mock DB session compatible with get_available_micros + charge_credits.""" + fake_user = _FakeUser(balance_micros, reserved_micros) + session = AsyncMock() + + def _make_result(*_args, **_kwargs): + result = MagicMock() + result.first.return_value = ( + fake_user.credit_micros_balance, + fake_user.credit_micros_reserved, + ) + result.unique.return_value.scalar_one_or_none.return_value = fake_user + return result + + session.execute = AsyncMock(side_effect=_make_result) + return session, fake_user + + +# =================================================================== +# A) successes_to_micros — config-driven price +# =================================================================== + + +class TestSuccessesToMicros: + def test_default_is_one_dollar_per_thousand(self, monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_MICROS_PER_SUCCESS", 1000) + assert WebCrawlCreditService.successes_to_micros(1) == 1000 + assert WebCrawlCreditService.successes_to_micros(1000) == 1_000_000 # $1 + + def test_zero_successes_cost_nothing(self): + assert WebCrawlCreditService.successes_to_micros(0) == 0 + + @pytest.mark.parametrize( + ("per_success", "successes", "expected"), + [ + (2000, 1000, 2_000_000), # $2 / 1000 + (500, 1000, 500_000), # $0.50 / 1000 + (5000, 10, 50_000), # $5 / 1000 + ], + ) + def test_retune_is_config_driven( + self, monkeypatch, per_success, successes, expected + ): + """No hardcoded rate: changing the config knob changes the price.""" + monkeypatch.setattr(config, "WEB_CRAWL_MICROS_PER_SUCCESS", per_success) + assert WebCrawlCreditService.successes_to_micros(successes) == expected + + +# =================================================================== +# B) billing_enabled gate +# =================================================================== + + +class TestBillingEnabled: + def test_reads_config_flag(self, monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", True) + assert WebCrawlCreditService.billing_enabled() is True + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", False) + assert WebCrawlCreditService.billing_enabled() is False + + +# =================================================================== +# C) check_credits +# =================================================================== + + +class TestCheckCredits: + async def test_sufficient_credit_passes(self): + session, _user = _make_session(balance_micros=10_000) + svc = WebCrawlCreditService(session) + # 5 URLs * 1000 = 5000 <= 10000 → no raise + await svc.check_credits(_USER_ID, estimated_successes=5) + + async def test_insufficient_credit_raises(self): + session, _user = _make_session(balance_micros=3_000) + svc = WebCrawlCreditService(session) + # 5 URLs * 1000 = 5000 > 3000 → raise + with pytest.raises(InsufficientCreditsError): + await svc.check_credits(_USER_ID, estimated_successes=5) + + async def test_reserved_credit_reduces_available(self): + session, _user = _make_session(balance_micros=10_000, reserved_micros=8_000) + svc = WebCrawlCreditService(session) + # available = 2000; 3 * 1000 = 3000 > 2000 → raise + with pytest.raises(InsufficientCreditsError): + await svc.check_credits(_USER_ID, estimated_successes=3) + + async def test_disabled_is_noop(self, monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", False) + session, _user = _make_session(balance_micros=0) + svc = WebCrawlCreditService(session) + await svc.check_credits(_USER_ID, estimated_successes=10_000) + session.execute.assert_not_called() + + +# =================================================================== +# D) charge_credits +# =================================================================== + + +class TestChargeCredits: + async def test_debits_per_success(self): + session, user = _make_session(balance_micros=100_000) + svc = WebCrawlCreditService(session) + new_balance = await svc.charge_credits(_USER_ID, successes=3) + assert user.credit_micros_balance == 100_000 - 3 * 1000 + assert new_balance == 97_000 + session.commit.assert_awaited() + + async def test_zero_successes_is_noop(self): + session, user = _make_session(balance_micros=100_000) + svc = WebCrawlCreditService(session) + result = await svc.charge_credits(_USER_ID, successes=0) + assert result is None + assert user.credit_micros_balance == 100_000 + session.commit.assert_not_awaited() + + async def test_disabled_is_noop(self, monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CREDIT_BILLING_ENABLED", False) + session, user = _make_session(balance_micros=100_000) + svc = WebCrawlCreditService(session) + result = await svc.charge_credits(_USER_ID, successes=5) + assert result is None + assert user.credit_micros_balance == 100_000 + session.execute.assert_not_called() + + +# =================================================================== +# E) Captcha per-attempt unit (Phase 3d) +# =================================================================== + + +@pytest.fixture +def _enable_captcha_billing(monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_BILLING_ENABLED", True) + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE", 3000) + + +class TestCaptchaStatics: + def test_billing_enabled_reads_flag(self, monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_BILLING_ENABLED", True) + assert WebCrawlCreditService.captcha_billing_enabled() is True + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_BILLING_ENABLED", False) + assert WebCrawlCreditService.captcha_billing_enabled() is False + + def test_solves_to_micros_is_config_driven(self, monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE", 3000) + assert WebCrawlCreditService.captcha_solves_to_micros(1) == 3000 + assert WebCrawlCreditService.captcha_solves_to_micros(1000) == 3_000_000 + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_MICROS_PER_SOLVE", 5000) + assert WebCrawlCreditService.captcha_solves_to_micros(2) == 10_000 + + +class TestChargeCaptcha: + async def test_debits_per_attempt(self, _enable_captcha_billing): + session, user = _make_session(balance_micros=100_000) + svc = WebCrawlCreditService(session) + new_balance = await svc.charge_captcha(_USER_ID, attempts=2) + assert user.credit_micros_balance == 100_000 - 2 * 3000 + assert new_balance == 94_000 + session.commit.assert_awaited() + + async def test_zero_attempts_is_noop(self, _enable_captcha_billing): + session, user = _make_session(balance_micros=100_000) + svc = WebCrawlCreditService(session) + assert await svc.charge_captcha(_USER_ID, attempts=0) is None + assert user.credit_micros_balance == 100_000 + session.commit.assert_not_awaited() + + async def test_disabled_is_noop(self, monkeypatch): + monkeypatch.setattr(config, "WEB_CRAWL_CAPTCHA_BILLING_ENABLED", False) + session, user = _make_session(balance_micros=100_000) + svc = WebCrawlCreditService(session) + assert await svc.charge_captcha(_USER_ID, attempts=5) is None + assert user.credit_micros_balance == 100_000 + session.execute.assert_not_called() + + +class TestCheckBalance: + """Combined (crawl + captcha) pre-flight primitive — ungated.""" + + async def test_passes_when_affordable(self): + session, _user = _make_session(balance_micros=10_000) + await WebCrawlCreditService(session).check_balance(_USER_ID, 5_000) + + async def test_raises_when_short(self): + session, _user = _make_session(balance_micros=3_000) + with pytest.raises(InsufficientCreditsError): + await WebCrawlCreditService(session).check_balance(_USER_ID, 5_000) + + async def test_zero_required_is_noop(self): + session, _user = _make_session(balance_micros=0) + await WebCrawlCreditService(session).check_balance(_USER_ID, 0) + session.execute.assert_not_called() diff --git a/surfsense_backend/tests/unit/tasks/chat/streaming/test_capability_emissions.py b/surfsense_backend/tests/unit/tasks/chat/streaming/test_capability_emissions.py new file mode 100644 index 000000000..46a373b8d --- /dev/null +++ b/surfsense_backend/tests/unit/tasks/chat/streaming/test_capability_emissions.py @@ -0,0 +1,131 @@ +"""Emission handlers for the capability chat tools (web_scrape / web_discover).""" + +from __future__ import annotations + +import importlib + + +class _FakeStreaming: + def __init__(self) -> None: + self.terminals: list[tuple[str, str]] = [] + + def format_terminal_info(self, text: str, message_type: str = "info") -> str: + self.terminals.append((text, message_type)) + return f"TERM::{message_type}" + + +class _FakeCtx: + """Minimal stand-in for ToolCompletionEmissionContext (only what handlers use).""" + + def __init__(self, tool_output: object) -> None: + self.tool_output = tool_output + self.cards: list[dict] = [] + self.streaming_service = _FakeStreaming() + + def emit_tool_output_card(self, payload: dict) -> str: + self.cards.append(payload) + return "CARD" + + +def _scrape_frames(ctx: _FakeCtx) -> list[str]: + mod = importlib.import_module( + "app.tasks.chat.streaming.handlers.tools.web_scrape.emission" + ) + return list(mod.iter_completion_emission_frames(ctx)) + + +def _discover_frames(ctx: _FakeCtx) -> list[str]: + mod = importlib.import_module( + "app.tasks.chat.streaming.handlers.tools.web_discover.emission" + ) + return list(mod.iter_completion_emission_frames(ctx)) + + +def test_scrape_card_previews_content_and_summarizes(): + long_body = "x" * 2000 + ctx = _FakeCtx( + { + "rows": [ + { + "url": "https://a.com", + "status": "success", + "content": long_body, + "metadata": {"title": "A"}, + }, + {"url": "https://b.com", "status": "failed", "error": "boom"}, + ] + } + ) + + _scrape_frames(ctx) + + [card] = ctx.cards + assert card["succeeded"] == 1 + assert card["total"] == 2 + page = card["pages"][0] + # full content must not be dumped into the card; a bounded preview is used + assert "content" not in page + assert len(page["content_preview"]) < len(long_body) + assert page["metadata"] == {"title": "A"} + assert card["pages"][1]["error"] == "boom" + + +def test_scrape_terminal_success_when_any_page_succeeds(): + ctx = _FakeCtx( + {"rows": [{"url": "https://a.com", "status": "success", "content": "hi"}]} + ) + + _scrape_frames(ctx) + + assert ctx.streaming_service.terminals[-1][1] == "success" + + +def test_scrape_terminal_error_when_all_pages_fail(): + ctx = _FakeCtx( + {"rows": [{"url": "https://a.com", "status": "failed", "error": "boom"}]} + ) + + _scrape_frames(ctx) + + assert ctx.streaming_service.terminals[-1][1] == "error" + + +def test_scrape_non_dict_output_is_an_error_card(): + ctx = _FakeCtx("Insufficient credit to continue.") + + _scrape_frames(ctx) + + assert ctx.cards[0]["status"] == "error" + assert ctx.streaming_service.terminals[-1][1] == "error" + + +def test_discover_card_lists_hits_and_counts(): + ctx = _FakeCtx( + { + "hits": [ + {"url": "https://a.com", "title": "A", "snippet": "s", "provider": "p"}, + { + "url": "https://b.com", + "title": "B", + "snippet": None, + "provider": "p", + }, + ] + } + ) + + _discover_frames(ctx) + + [card] = ctx.cards + assert card["count"] == 2 + assert card["hits"][0]["url"] == "https://a.com" + assert ctx.streaming_service.terminals[-1][1] == "success" + + +def test_discover_non_dict_output_is_an_error_card(): + ctx = _FakeCtx("Search is not available.") + + _discover_frames(ctx) + + assert ctx.cards[0]["status"] == "error" + assert ctx.streaming_service.terminals[-1][1] == "error" diff --git a/surfsense_backend/tests/unit/tasks/chat/streaming/test_llm_bundle.py b/surfsense_backend/tests/unit/tasks/chat/streaming/test_llm_bundle.py index 7bb169496..09a0351b7 100644 --- a/surfsense_backend/tests/unit/tasks/chat/streaming/test_llm_bundle.py +++ b/surfsense_backend/tests/unit/tasks/chat/streaming/test_llm_bundle.py @@ -32,12 +32,10 @@ def _patch_common_bundle_dependencies(monkeypatch: pytest.MonkeyPatch): _CapturedChatLiteLLM.calls = [] - async def _fake_search_space( - _session: Any, _search_space_id: int - ) -> SimpleNamespace: + async def _fake_workspace(_session: Any, _workspace_id: int) -> SimpleNamespace: return SimpleNamespace(id=42, user_id="user-1") - monkeypatch.setattr(llm_bundle, "_load_search_space", _fake_search_space) + monkeypatch.setattr(llm_bundle, "_load_workspace", _fake_workspace) monkeypatch.setattr(llm_bundle, "SanitizedChatLiteLLM", _CapturedChatLiteLLM) monkeypatch.setattr(llm_bundle, "register_model_usage_metadata", lambda **_kw: None) monkeypatch.setattr( @@ -65,9 +63,9 @@ async def test_load_llm_bundle_enables_streaming_for_db_models( connection=connection, ) - async def _fake_db_model(_session: Any, *, model_id: int, search_space: Any) -> Any: + async def _fake_db_model(_session: Any, *, model_id: int, workspace: Any) -> Any: assert model_id == 7 - assert search_space.id == 42 + assert workspace.id == 42 return model monkeypatch.setattr(llm_bundle, "_load_db_model", _fake_db_model) @@ -83,7 +81,7 @@ async def test_load_llm_bundle_enables_streaming_for_db_models( llm, agent_config, error = await llm_bundle.load_llm_bundle( object(), config_id=7, - search_space_id=42, + workspace_id=42, ) assert error is None @@ -140,7 +138,7 @@ async def test_load_llm_bundle_enables_streaming_for_global_models( llm, agent_config, error = await llm_bundle.load_llm_bundle( object(), config_id=-11, - search_space_id=42, + workspace_id=42, ) assert error is None diff --git a/surfsense_backend/tests/unit/tasks/chat/streaming/test_task_span.py b/surfsense_backend/tests/unit/tasks/chat/streaming/test_task_span.py index df680018d..756d397cd 100644 --- a/surfsense_backend/tests/unit/tasks/chat/streaming/test_task_span.py +++ b/surfsense_backend/tests/unit/tasks/chat/streaming/test_task_span.py @@ -28,7 +28,7 @@ def test_clear_ignored_for_non_task_tool() -> None: open_task_span(state, run_id="run-1") sid = state.active_span_id clear_task_span_if_delegating_task_ended( - state, tool_name="web_search", run_id="run-1" + state, tool_name="scrape_webpage", run_id="run-1" ) assert state.active_span_id == sid assert state.active_task_run_id == "run-1" diff --git a/surfsense_backend/tests/unit/tasks/chat/test_content_builder.py b/surfsense_backend/tests/unit/tasks/chat/test_content_builder.py index 42e62d26b..662fb8adf 100644 --- a/surfsense_backend/tests/unit/tasks/chat/test_content_builder.py +++ b/surfsense_backend/tests/unit/tasks/chat/test_content_builder.py @@ -128,14 +128,14 @@ class TestToolHeavyTurn: b.on_tool_input_start( ui_id="call_run123", - tool_name="web_search", + tool_name="scrape_webpage", langchain_tool_call_id="lc_tool_abc", ) b.on_tool_input_delta("call_run123", '{"query":') b.on_tool_input_delta("call_run123", '"surfsense"}') b.on_tool_input_available( ui_id="call_run123", - tool_name="web_search", + tool_name="scrape_webpage", args={"query": "surfsense"}, langchain_tool_call_id="lc_tool_abc", ) @@ -150,7 +150,7 @@ class TestToolHeavyTurn: tool_part = snap[1] assert tool_part["type"] == "tool-call" assert tool_part["toolCallId"] == "call_run123" - assert tool_part["toolName"] == "web_search" + assert tool_part["toolName"] == "scrape_webpage" assert tool_part["args"] == {"query": "surfsense"} # ``argsText`` is the pretty-printed final JSON, not the raw # streaming buffer (FE ``stream-pipeline.ts:128``). diff --git a/surfsense_backend/tests/unit/tasks/test_celery_async_runner.py b/surfsense_backend/tests/unit/tasks/test_celery_async_runner.py index 2342dd8da..761c12cd8 100644 --- a/surfsense_backend/tests/unit/tasks/test_celery_async_runner.py +++ b/surfsense_backend/tests/unit/tasks/test_celery_async_runner.py @@ -293,6 +293,81 @@ def test_runner_runs_shutdown_asyncgens_before_close() -> None: gc.collect() +@contextmanager +def _patch_checkpointer_close(recorder: list[int]) -> Iterator[None]: + """Patch ``close_checkpointer`` to record the loop it runs on. + + The runner imports it lazily, so we patch the attribute on the + already-loaded checkpointer module (same trick as the engine stub). + """ + import app.agents.chat.runtime.checkpointer as cp + + original = cp.close_checkpointer + + async def _stub() -> None: + recorder.append(id(asyncio.get_running_loop())) + + cp.close_checkpointer = _stub # type: ignore[assignment] + try: + yield + finally: + cp.close_checkpointer = original # type: ignore[assignment] + + +def test_runner_disposes_checkpointer_pool_around_call() -> None: + """The durable checkpointer's loop-bound pool must be dropped before + and after each task, on the task's own fresh loop — the fix that lets + a worker use the shared AsyncPostgresSaver instead of InMemorySaver. + """ + from app.tasks.celery_tasks import run_async_celery_task + + engine_stub = _StaleLoopEngine() + cp_loops: list[int] = [] + + async def _body() -> str: + # Both the engine and the checkpointer are disposed once before we run. + assert len(cp_loops) == 1 + return "ok" + + with _patch_shared_engine(engine_stub), _patch_checkpointer_close(cp_loops): + assert run_async_celery_task(_body) == "ok" + + # Once before the body, once after (finally). + assert len(cp_loops) == 2 + # Both ran on the SAME fresh loop, matching the engine's dispose loop. + assert cp_loops[0] == cp_loops[1] + assert cp_loops[0] == engine_stub.dispose_loop_ids[0] + + +def test_runner_swallows_checkpointer_dispose_errors() -> None: + """A flaky checkpointer dispose must never take down a celery task.""" + from app.tasks.celery_tasks import run_async_celery_task + + engine_stub = _StaleLoopEngine() + + import app.agents.chat.runtime.checkpointer as cp + + original = cp.close_checkpointer + calls = {"n": 0} + + async def _angry() -> None: + calls["n"] += 1 + raise RuntimeError("checkpointer dispose blew up") + + cp.close_checkpointer = _angry # type: ignore[assignment] + + async def _body() -> int: + return 42 + + try: + with _patch_shared_engine(engine_stub): + assert run_async_celery_task(_body) == 42 + finally: + cp.close_checkpointer = original # type: ignore[assignment] + + assert calls["n"] == 2 # before + after both attempted, both swallowed + + def test_runner_uses_proactor_loop_on_windows() -> None: """On Windows the celery worker preselects a Proactor policy so subprocess (ffmpeg) calls work. The helper must not silently fall diff --git a/surfsense_backend/tests/unit/tasks/test_video_presentation_billing.py b/surfsense_backend/tests/unit/tasks/test_video_presentation_billing.py index 7183024ed..ad84d0e0f 100644 --- a/surfsense_backend/tests/unit/tasks/test_video_presentation_billing.py +++ b/surfsense_backend/tests/unit/tasks/test_video_presentation_billing.py @@ -145,14 +145,14 @@ async def test_billable_call_invoked_with_correct_kwargs_for_free_config(monkeyp user_id = uuid4() - async def _fake_resolver(sess, search_space_id, *, thread_id=None): - assert search_space_id == 777 + async def _fake_resolver(sess, workspace_id, *, thread_id=None): + assert workspace_id == 777 assert thread_id == 99 return user_id, "free", "openrouter/some-free-model" monkeypatch.setattr( video_presentation_tasks, - "_resolve_agent_billing_for_search_space", + "_resolve_agent_billing_for_workspace", _fake_resolver, ) monkeypatch.setattr(video_presentation_tasks, "billable_call", _ok_billable_call) @@ -169,7 +169,7 @@ async def test_billable_call_invoked_with_correct_kwargs_for_free_config(monkeyp result = await video_presentation_tasks._generate_video_presentation( video_presentation_id=11, source_content="content", - search_space_id=777, + workspace_id=777, user_prompt=None, ) @@ -180,7 +180,7 @@ async def test_billable_call_invoked_with_correct_kwargs_for_free_config(monkeyp assert len(_CALL_LOG) == 1 call = _CALL_LOG[0] assert call["user_id"] == user_id - assert call["search_space_id"] == 777 + assert call["workspace_id"] == 777 assert call["billing_tier"] == "free" assert call["base_model"] == "openrouter/some-free-model" assert call["usage_type"] == "video_presentation_generation" @@ -213,12 +213,12 @@ async def test_billable_call_invoked_with_premium_tier(monkeypatch): user_id = uuid4() - async def _fake_resolver(sess, search_space_id, *, thread_id=None): + async def _fake_resolver(sess, workspace_id, *, thread_id=None): return user_id, "premium", "gpt-5.4" monkeypatch.setattr( video_presentation_tasks, - "_resolve_agent_billing_for_search_space", + "_resolve_agent_billing_for_workspace", _fake_resolver, ) monkeypatch.setattr(video_presentation_tasks, "billable_call", _ok_billable_call) @@ -235,7 +235,7 @@ async def test_billable_call_invoked_with_premium_tier(monkeypatch): await video_presentation_tasks._generate_video_presentation( video_presentation_id=11, source_content="content", - search_space_id=777, + workspace_id=777, user_prompt=None, ) @@ -256,12 +256,12 @@ async def test_quota_insufficient_marks_video_failed_and_skips_graph(monkeypatch lambda: _FakeSessionMaker(session), ) - async def _fake_resolver(sess, search_space_id, *, thread_id=None): + async def _fake_resolver(sess, workspace_id, *, thread_id=None): return uuid4(), "premium", "gpt-5.4" monkeypatch.setattr( video_presentation_tasks, - "_resolve_agent_billing_for_search_space", + "_resolve_agent_billing_for_workspace", _fake_resolver, ) monkeypatch.setattr( @@ -283,7 +283,7 @@ async def test_quota_insufficient_marks_video_failed_and_skips_graph(monkeypatch result = await video_presentation_tasks._generate_video_presentation( video_presentation_id=12, source_content="content", - search_space_id=777, + workspace_id=777, user_prompt=None, ) @@ -309,12 +309,12 @@ async def test_billing_settlement_failure_marks_video_failed(monkeypatch): lambda: _FakeSessionMaker(session), ) - async def _fake_resolver(sess, search_space_id, *, thread_id=None): + async def _fake_resolver(sess, workspace_id, *, thread_id=None): return uuid4(), "premium", "gpt-5.4" monkeypatch.setattr( video_presentation_tasks, - "_resolve_agent_billing_for_search_space", + "_resolve_agent_billing_for_workspace", _fake_resolver, ) monkeypatch.setattr( @@ -335,7 +335,7 @@ async def test_billing_settlement_failure_marks_video_failed(monkeypatch): result = await video_presentation_tasks._generate_video_presentation( video_presentation_id=14, source_content="content", - search_space_id=777, + workspace_id=777, user_prompt=None, ) @@ -360,12 +360,12 @@ async def test_resolver_failure_marks_video_failed(monkeypatch): lambda: _FakeSessionMaker(session), ) - async def _failing_resolver(sess, search_space_id, *, thread_id=None): - raise ValueError("Search space 777 not found") + async def _failing_resolver(sess, workspace_id, *, thread_id=None): + raise ValueError("Workspace 777 not found") monkeypatch.setattr( video_presentation_tasks, - "_resolve_agent_billing_for_search_space", + "_resolve_agent_billing_for_workspace", _failing_resolver, ) @@ -384,7 +384,7 @@ async def test_resolver_failure_marks_video_failed(monkeypatch): result = await video_presentation_tasks._generate_video_presentation( video_presentation_id=13, source_content="content", - search_space_id=777, + workspace_id=777, user_prompt=None, ) diff --git a/surfsense_backend/tests/unit/test_pat_fail_closed_static.py b/surfsense_backend/tests/unit/test_pat_fail_closed_static.py index 88b8f9151..17bdc4ca0 100644 --- a/surfsense_backend/tests/unit/test_pat_fail_closed_static.py +++ b/surfsense_backend/tests/unit/test_pat_fail_closed_static.py @@ -16,9 +16,7 @@ ALLOW_ANY_EXPECTED = { "routes/obsidian_plugin_routes.py": ( "_auth: AuthContext = Depends(allow_any_principal)" ), - "routes/search_spaces_routes.py": ( - "auth: AuthContext = Depends(allow_any_principal)" - ), + "routes/workspaces_routes.py": ("auth: AuthContext = Depends(allow_any_principal)"), } CONNECTOR_LISTERS = [ @@ -60,12 +58,12 @@ def test_allow_any_principal_is_only_used_by_bootstrap_allowlist() -> None: assert expected_snippet in text -def test_connector_listers_route_pat_through_search_space_gate() -> None: +def test_connector_listers_route_pat_through_workspace_gate() -> None: for rel_path in CONNECTOR_LISTERS: text = (APP_ROOT / rel_path).read_text() assert "auth: AuthContext = Depends(get_auth_context)" in text, rel_path assert ( - "await check_search_space_access(session, auth, connector.search_space_id)" + "await check_workspace_access(session, auth, connector.workspace_id)" in text ), rel_path diff --git a/surfsense_backend/tests/unit/utils/crawl/test_contacts.py b/surfsense_backend/tests/unit/utils/crawl/test_contacts.py new file mode 100644 index 000000000..c143ed820 --- /dev/null +++ b/surfsense_backend/tests/unit/utils/crawl/test_contacts.py @@ -0,0 +1,103 @@ +"""``extract_contacts`` behavior: harvest emails/phones/socials from raw HTML.""" + +from __future__ import annotations + +import pytest + +from app.utils.crawl import extract_contacts + +pytestmark = pytest.mark.unit + + +def test_harvests_mailto_tel_and_socials() -> None: + html = """ + + + + """ + c = extract_contacts(html) + assert c.emails == ["hello@acme.io"] # mailto query stripped + assert c.phones == ["+1-555-0100"] + assert c.socials == [ + "https://www.linkedin.com/company/acme", + "https://x.com/acme", + "https://github.com/acme/repo", # fragment stripped + ] + # Same-site, non-social link is not a contact signal. + assert "https://acme.io/about" not in c.socials + + +def test_plaintext_email_without_mailto_is_found() -> None: + html = "

Reach us at hello@cochat.ai for support.

" + assert extract_contacts(html).emails == ["hello@cochat.ai"] + + +def test_filters_noise_emails_and_asset_false_positives() -> None: + html = """ + + + +

ops@sentry.io

+ x + + """ + assert extract_contacts(html).emails == ["real@company.com"] + + +def test_filters_template_placeholders() -> None: + html = """ + +

youremail@business.com your.email@acme.io john-doe@acme.io

+ real + gh template + tw template + real person + + """ + c = extract_contacts(html) + assert c.emails == ["hello@acme.io"] # your.email + john-doe normalized away + assert c.socials == ["https://www.linkedin.com/in/jane-doe/"] + + +def test_regional_social_hosts_are_harvested() -> None: + """WhatsApp/Line/VK/Weibo etc. are the business contact channel outside the US.""" + html = """ + WhatsApp + Line + VK + Weibo + Xing + """ + assert len(extract_contacts(html).socials) == 5 + + +def test_percent_encoded_hrefs_are_decoded() -> None: + """Sites URL-encode tel/mailto hrefs (seen live: tel:+1%20408-629-1770).""" + html = """ + Call + Email + """ + c = extract_contacts(html) + assert c.phones == ["+1 408-629-1770"] + assert "hello@acme.io" in c.emails + + +def test_dedupes_case_insensitively_preserving_order() -> None: + html = """ + a + b + """ + assert extract_contacts(html).emails == ["Hello@Acme.io"] + + +def test_empty_or_unparseable_html_is_empty() -> None: + assert extract_contacts("").is_empty + assert extract_contacts(None).is_empty + assert extract_contacts(" ").is_empty diff --git a/surfsense_backend/tests/unit/utils/proxy/__init__.py b/surfsense_backend/tests/unit/utils/proxy/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/utils/proxy/test_custom_provider.py b/surfsense_backend/tests/unit/utils/proxy/test_custom_provider.py new file mode 100644 index 000000000..c5563290d --- /dev/null +++ b/surfsense_backend/tests/unit/utils/proxy/test_custom_provider.py @@ -0,0 +1,79 @@ +"""Unit tests for the BYO ``CustomProxyProvider`` (Phase 3b). + +Covers single-endpoint vs pool behavior, cyclic rotation, env de-duplication, +the empty/unconfigured case, and the playwright-dict parse. +""" + +import pytest + +from app.config import Config +from app.utils.proxy.providers.custom import CustomProxyProvider + +pytestmark = pytest.mark.unit + + +@pytest.fixture(autouse=True) +def _clear_proxy_env(monkeypatch: pytest.MonkeyPatch) -> None: + """Default both knobs to unset; individual tests set what they need.""" + monkeypatch.setattr(Config, "PROXY_URL", None) + monkeypatch.setattr(Config, "PROXY_URLS", None) + + +def test_single_url_is_static(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Config, "PROXY_URL", "http://u:p@host:8080") + provider = CustomProxyProvider() + + assert provider.is_pool_backed is False + assert provider.get_proxy_url() == "http://u:p@host:8080" + # Static endpoint returns the same value every call. + assert provider.get_proxy_url() == "http://u:p@host:8080" + + +def test_pool_rotates_cyclically(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr( + Config, + "PROXY_URLS", + "http://a:1@h1:8080, http://b:2@h2:8080 ,http://c:3@h3:8080", + ) + provider = CustomProxyProvider() + + assert provider.is_pool_backed is True + seen = [provider.get_proxy_url() for _ in range(4)] + assert seen == [ + "http://a:1@h1:8080", + "http://b:2@h2:8080", + "http://c:3@h3:8080", + "http://a:1@h1:8080", # wraps around + ] + + +def test_single_plus_pool_dedupes(monkeypatch: pytest.MonkeyPatch) -> None: + """A URL present in both PROXY_URL and the pool is not duplicated.""" + monkeypatch.setattr(Config, "PROXY_URLS", "http://a@h1:80,http://b@h2:80") + monkeypatch.setattr(Config, "PROXY_URL", "http://a@h1:80") + provider = CustomProxyProvider() + + assert provider.is_pool_backed is True + seen = [provider.get_proxy_url() for _ in range(3)] + assert seen == ["http://a@h1:80", "http://b@h2:80", "http://a@h1:80"] + + +def test_unconfigured_returns_none() -> None: + provider = CustomProxyProvider() + + assert provider.is_pool_backed is False + assert provider.get_proxy_url() is None + assert provider.get_requests_proxies() is None + + +def test_playwright_proxy_parses_credentials( + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setattr(Config, "PROXY_URL", "http://user:pass@host:8080") + provider = CustomProxyProvider() + + assert provider.get_playwright_proxy() == { + "server": "http://host:8080", + "username": "user", + "password": "pass", + } diff --git a/surfsense_backend/tests/unit/utils/proxy/test_dataimpulse_provider.py b/surfsense_backend/tests/unit/utils/proxy/test_dataimpulse_provider.py new file mode 100644 index 000000000..af1288046 --- /dev/null +++ b/surfsense_backend/tests/unit/utils/proxy/test_dataimpulse_provider.py @@ -0,0 +1,70 @@ +"""Unit tests for the DataImpulseProvider. + +Takes a single full URL (like ``custom``); the vendor-specific bit is parsing the +``__cr.`` username suffix for :meth:`get_location`. Playwright/requests +shapes come from the shared base parse, so a couple of checks cover the wiring. +""" + +import pytest + +from app.config import Config +from app.utils.proxy.providers.dataimpulse import DataImpulseProvider + +pytestmark = pytest.mark.unit + +_URL = "http://tok123__cr.us:secret@gw.dataimpulse.com:823" + + +@pytest.fixture(autouse=True) +def _clear_env(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Config, "PROXY_URL", None) + + +def test_returns_configured_url(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Config, "PROXY_URL", _URL) + provider = DataImpulseProvider() + + assert provider.is_pool_backed is False + assert provider.get_proxy_url() == _URL + assert provider.get_requests_proxies() == {"http": _URL, "https": _URL} + + +def test_location_parsed_from_country_suffix(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Config, "PROXY_URL", _URL) + assert DataImpulseProvider().get_location() == "us" + + +def test_location_stops_at_next_param(monkeypatch: pytest.MonkeyPatch) -> None: + # A sticky/session suffix after the country must not bleed into the location. + monkeypatch.setattr( + Config, + "PROXY_URL", + "http://tok__cr.de__sid.abc123:secret@gw.dataimpulse.com:823", + ) + assert DataImpulseProvider().get_location() == "de" + + +def test_no_country_suffix_yields_empty_location( + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setattr(Config, "PROXY_URL", "http://tok:secret@gw.dataimpulse.com:823") + assert DataImpulseProvider().get_location() == "" + + +def test_unconfigured_returns_none() -> None: + provider = DataImpulseProvider() + + assert provider.get_proxy_url() is None + assert provider.get_requests_proxies() is None + assert provider.get_playwright_proxy() is None + assert provider.get_location() == "" + + +def test_playwright_proxy_from_base_parse(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Config, "PROXY_URL", _URL) + + assert DataImpulseProvider().get_playwright_proxy() == { + "server": "http://gw.dataimpulse.com:823", + "username": "tok123__cr.us", + "password": "secret", + } diff --git a/surfsense_backend/tests/unit/utils/proxy/test_registry.py b/surfsense_backend/tests/unit/utils/proxy/test_registry.py new file mode 100644 index 000000000..5a6bde403 --- /dev/null +++ b/surfsense_backend/tests/unit/utils/proxy/test_registry.py @@ -0,0 +1,36 @@ +"""Unit tests for proxy provider selection. + +``PROXY_PROVIDER`` selects the single app-wide provider; ``custom`` (the default) +and ``dataimpulse`` are registered, and unknown values still warn and fall back +to the default. +""" + +import pytest + +from app.config import Config +from app.utils.proxy import registry +from app.utils.proxy.providers.custom import CustomProxyProvider +from app.utils.proxy.providers.dataimpulse import DataImpulseProvider + +pytestmark = pytest.mark.unit + + +@pytest.fixture(autouse=True) +def _reset_active_provider(monkeypatch: pytest.MonkeyPatch) -> None: + """Clear the process-wide provider cache so each test resolves fresh.""" + monkeypatch.setattr(registry, "_active_provider", None) + + +def test_resolves_custom(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Config, "PROXY_PROVIDER", "custom") + assert isinstance(registry.get_active_provider(), CustomProxyProvider) + + +def test_resolves_dataimpulse(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Config, "PROXY_PROVIDER", "dataimpulse") + assert isinstance(registry.get_active_provider(), DataImpulseProvider) + + +def test_unknown_falls_back_to_default(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(Config, "PROXY_PROVIDER", "does_not_exist") + assert isinstance(registry.get_active_provider(), CustomProxyProvider) diff --git a/surfsense_backend/tests/unit/utils/test_captcha_config.py b/surfsense_backend/tests/unit/utils/test_captcha_config.py new file mode 100644 index 000000000..95f92c06f --- /dev/null +++ b/surfsense_backend/tests/unit/utils/test_captcha_config.py @@ -0,0 +1,47 @@ +"""Unit tests for the generic captcha config gate (Phase 3d, Apache-2 layer).""" + +import pytest + +from app.config import config +from app.utils.captcha import captcha_enabled, get_captcha_config + +pytestmark = pytest.mark.unit + + +class TestCaptchaEnabled: + def test_off_by_default(self, monkeypatch): + monkeypatch.setattr(config, "CAPTCHA_SOLVING_ENABLED", False) + monkeypatch.setattr(config, "CAPTCHA_SOLVER_API_KEY", "key") + assert captcha_enabled() is False + + def test_flag_on_but_no_key_is_disabled(self, monkeypatch): + monkeypatch.setattr(config, "CAPTCHA_SOLVING_ENABLED", True) + monkeypatch.setattr(config, "CAPTCHA_SOLVER_API_KEY", None) + assert captcha_enabled() is False + + def test_flag_on_with_key_is_enabled(self, monkeypatch): + monkeypatch.setattr(config, "CAPTCHA_SOLVING_ENABLED", True) + monkeypatch.setattr(config, "CAPTCHA_SOLVER_API_KEY", "key") + assert captcha_enabled() is True + + +class TestGetCaptchaConfig: + def test_snapshot_reflects_config(self, monkeypatch): + monkeypatch.setattr(config, "CAPTCHA_SOLVING_ENABLED", True) + monkeypatch.setattr(config, "CAPTCHA_SOLVER_API_KEY", "key") + monkeypatch.setattr(config, "CAPTCHA_SOLVER_PROVIDER", "2captcha") + monkeypatch.setattr(config, "CAPTCHA_MAX_ATTEMPTS_PER_URL", 3) + monkeypatch.setattr(config, "CAPTCHA_SOLVE_TIMEOUT_S", 90) + monkeypatch.setattr(config, "CAPTCHA_TYPE_DEFAULT", "hcaptcha") + + cfg = get_captcha_config() + assert cfg.enabled is True + assert cfg.solving_site == "2captcha" + assert cfg.max_attempts_per_url == 3 + assert cfg.timeout_s == 90 + assert cfg.captcha_type_default == "hcaptcha" + + def test_keyless_config_is_not_enabled(self, monkeypatch): + monkeypatch.setattr(config, "CAPTCHA_SOLVING_ENABLED", True) + monkeypatch.setattr(config, "CAPTCHA_SOLVER_API_KEY", None) + assert get_captcha_config().enabled is False diff --git a/surfsense_backend/tests/unit/utils/test_crawl_classifier.py b/surfsense_backend/tests/unit/utils/test_crawl_classifier.py new file mode 100644 index 000000000..c595686c9 --- /dev/null +++ b/surfsense_backend/tests/unit/utils/test_crawl_classifier.py @@ -0,0 +1,75 @@ +"""Unit tests for the Phase 3e block classifier (Apache-2 layer).""" + +import pytest + +from app.utils.crawl import BlockType, classify_block + +pytestmark = pytest.mark.unit + + +class TestClassifyBlock: + def test_ok_on_plain_content(self): + assert classify_block(200, "hello") is BlockType.OK + + def test_none_body_is_empty(self): + assert classify_block(200, None) is BlockType.EMPTY + assert classify_block(200, " ") is BlockType.EMPTY + + def test_rate_limited_takes_precedence(self): + # 429 wins even if a challenge marker is present in the body. + assert ( + classify_block(429, '
') + is BlockType.RATE_LIMITED + ) + + @pytest.mark.parametrize( + "html", + [ + "Just a moment...", + "

Checking your browser before accessing

", + "please enable javascript and cookies to continue", + "verify you are human", + '
', + '
', + '
', + "blocked by ddos-guard.net", + ], + ) + def test_cloudflare_markers(self, html): + assert classify_block(403, html) is BlockType.CLOUDFLARE + + def test_hcaptcha(self): + assert ( + classify_block(200, '
') + is BlockType.CAPTCHA_HCAPTCHA + ) + + def test_recaptcha(self): + assert ( + classify_block(200, '
') + is BlockType.CAPTCHA_RECAPTCHA + ) + + def test_datadome(self): + assert ( + classify_block(403, "var dd={'host':'geo.captcha-delivery.com'}") + is BlockType.DATADOME + ) + + def test_kasada(self): + assert classify_block(200, "window.KPSDK.configure()") is BlockType.KASADA + + def test_bot_gate_status_without_marker_is_unknown(self): + # 202/403 with no recognized challenge marker => generic blocked-ish. + assert classify_block(202, "x") is BlockType.UNKNOWN + assert classify_block(403, "x") is BlockType.UNKNOWN + + def test_bot_gate_status_empty_body_is_unknown(self): + assert classify_block(403, None) is BlockType.UNKNOWN + + def test_cloudflare_marker_beats_generic_403(self): + # A 403 Cloudflare page is CLOUDFLARE, not UNKNOWN. + assert ( + classify_block(403, "Just a moment...") + is BlockType.CLOUDFLARE + ) diff --git a/surfsense_backend/tests/unit/utils/test_validators.py b/surfsense_backend/tests/unit/utils/test_validators.py index e0e7c6da8..2fedcf39e 100644 --- a/surfsense_backend/tests/unit/utils/test_validators.py +++ b/surfsense_backend/tests/unit/utils/test_validators.py @@ -4,6 +4,7 @@ import pytest from fastapi import HTTPException from app.utils.validators import ( + raise_if_connector_deprecated, validate_connector_config, validate_connectors, validate_document_ids, @@ -11,10 +12,10 @@ from app.utils.validators import ( validate_messages, validate_research_mode, validate_search_mode, - validate_search_space_id, validate_top_k, validate_url, validate_uuid, + validate_workspace_id, ) pytestmark = pytest.mark.unit @@ -34,8 +35,8 @@ pytestmark = pytest.mark.unit (" 42 ", 42), ], ) -def test_validate_search_space_id_valid(valid_input, expected): - assert validate_search_space_id(valid_input) == expected +def test_validate_workspace_id_valid(valid_input, expected): + assert validate_workspace_id(valid_input) == expected @pytest.mark.parametrize( @@ -54,9 +55,9 @@ def test_validate_search_space_id_valid(valid_input, expected): "-5", ], ) -def test_validate_search_space_id_invalid(invalid_input): +def test_validate_workspace_id_invalid(invalid_input): with pytest.raises(HTTPException) as excinfo: - validate_search_space_id(invalid_input) + validate_workspace_id(invalid_input) assert excinfo.value.status_code == 400 @@ -332,9 +333,33 @@ def test_validate_connector_config_invalid(): with pytest.raises(ValueError): validate_connector_config("SEARXNG_API", {"SEARXNG_HOST": "not-a-url"}) - # Invalid email format (if JIRA was enabled, etc. We test with WEBCRAWLER's custom validation) - # Firecrawl key format error: - with pytest.raises(ValueError): - validate_connector_config( - "WEBCRAWLER_CONNECTOR", {"FIRECRAWL_API_KEY": "invalid-prefix-key"} - ) + +@pytest.mark.parametrize( + "connector_type", + [ + "DISCORD_CONNECTOR", + "TEAMS_CONNECTOR", + "LUMA_CONNECTOR", + "TAVILY_API", + "SEARXNG_API", + "LINKUP_API", + "BAIDU_SEARCH_API", + "YOUTUBE_CONNECTOR", + "WEBCRAWLER_CONNECTOR", + "ELASTICSEARCH_CONNECTOR", + ], +) +def test_raise_if_connector_deprecated_blocks(connector_type): + """Deprecated connector types are refused with HTTP 410.""" + with pytest.raises(HTTPException) as excinfo: + raise_if_connector_deprecated(connector_type) + assert excinfo.value.status_code == 410 + + +@pytest.mark.parametrize( + "connector_type", + ["SLACK_CONNECTOR", "NOTION_CONNECTOR", "SERPER_API", "MCP_CONNECTOR"], +) +def test_raise_if_connector_deprecated_allows_active(connector_type): + """Active connector types pass through without raising.""" + raise_if_connector_deprecated(connector_type) diff --git a/surfsense_backend/tests/utils/helpers.py b/surfsense_backend/tests/utils/helpers.py index fc77c6e6b..601761ed0 100644 --- a/surfsense_backend/tests/utils/helpers.py +++ b/surfsense_backend/tests/utils/helpers.py @@ -40,17 +40,17 @@ async def get_auth_token(client: httpx.AsyncClient) -> str: return response.json()["access_token"] -async def get_search_space_id(client: httpx.AsyncClient, token: str) -> int: - """Fetch the first search space owned by the test user.""" +async def get_workspace_id(client: httpx.AsyncClient, token: str) -> int: + """Fetch the first workspace owned by the test user.""" resp = await client.get( - "/api/v1/searchspaces", + "/api/v1/workspaces", headers=auth_headers(token), ) assert resp.status_code == 200, ( - f"Failed to list search spaces ({resp.status_code}): {resp.text}" + f"Failed to list workspaces ({resp.status_code}): {resp.text}" ) spaces = resp.json() - assert len(spaces) > 0, "No search spaces found for test user" + assert len(spaces) > 0, "No workspaces found for test user" return spaces[0]["id"] @@ -64,7 +64,7 @@ async def upload_file( headers: dict[str, str], fixture_name: str, *, - search_space_id: int, + workspace_id: int, filename_override: str | None = None, ) -> httpx.Response: """Upload a single fixture file and return the raw response.""" @@ -75,7 +75,7 @@ async def upload_file( "/api/v1/documents/fileupload", headers=headers, files={"files": (upload_name, f)}, - data={"search_space_id": str(search_space_id)}, + data={"workspace_id": str(workspace_id)}, ) @@ -84,7 +84,7 @@ async def upload_multiple_files( headers: dict[str, str], fixture_names: list[str], *, - search_space_id: int, + workspace_id: int, ) -> httpx.Response: """Upload multiple fixture files in a single request.""" files = [] @@ -99,7 +99,7 @@ async def upload_multiple_files( "/api/v1/documents/fileupload", headers=headers, files=files, - data={"search_space_id": str(search_space_id)}, + data={"workspace_id": str(workspace_id)}, ) finally: for fh in open_handles: @@ -111,7 +111,7 @@ async def poll_document_status( headers: dict[str, str], document_ids: list[int], *, - search_space_id: int, + workspace_id: int, timeout: float = 180.0, interval: float = 3.0, ) -> dict[int, dict]: @@ -135,7 +135,7 @@ async def poll_document_status( "/api/v1/documents/status", headers=headers, params={ - "search_space_id": search_space_id, + "workspace_id": workspace_id, "document_ids": ids_param, }, ) @@ -199,15 +199,15 @@ async def get_notifications( headers: dict[str, str], *, type_filter: str | None = None, - search_space_id: int | None = None, + workspace_id: int | None = None, limit: int = 50, ) -> list[dict]: """Fetch notifications for the authenticated user, optionally filtered by type.""" params: dict[str, str | int] = {"limit": limit} if type_filter: params["type"] = type_filter - if search_space_id is not None: - params["search_space_id"] = search_space_id + if workspace_id is not None: + params["workspace_id"] = workspace_id resp = await client.get( "/api/v1/notifications", diff --git a/surfsense_backend/uv.lock b/surfsense_backend/uv.lock index bdce64f30..a5b492fc8 100644 --- a/surfsense_backend/uv.lock +++ b/surfsense_backend/uv.lock @@ -24,6 +24,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'linux' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -46,6 +58,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform == 'linux' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -68,6 +92,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -90,6 +126,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'emscripten' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -112,6 +160,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -134,6 +194,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -156,6 +228,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'emscripten' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -178,6 +262,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -200,6 +296,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform != 'linux' and sys_platform != 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -222,6 +330,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra == 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -251,6 +371,22 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'linux' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -273,6 +409,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'linux' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -295,6 +443,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform == 'linux' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -317,6 +477,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -339,6 +511,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'emscripten' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -361,6 +545,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -383,6 +579,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -405,6 +613,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'emscripten' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -427,6 +647,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -449,6 +681,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform != 'linux' and sys_platform != 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -471,6 +715,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra == 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -500,6 +756,22 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'linux' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -522,6 +794,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'linux' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -544,6 +828,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform == 'linux' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -566,6 +862,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'win32' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -588,6 +896,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'emscripten' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -610,6 +930,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -632,6 +964,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'win32' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -654,6 +998,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'emscripten' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -676,6 +1032,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -698,6 +1066,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -720,6 +1100,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform == 'win32' and extra == 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -749,6 +1141,22 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -771,6 +1179,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform == 'emscripten' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -814,6 +1234,30 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -836,6 +1280,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -858,6 +1314,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform == 'emscripten' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -901,6 +1369,30 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version == '3.13.*' and sys_platform != 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and sys_platform != 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", "python_version < '0'", "python_version < '0'", @@ -966,6 +1482,18 @@ resolution-markers = [ "python_version < '0'", "python_version < '0'", "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", + "python_version < '0'", "python_full_version < '3.13' and sys_platform == 'win32' and extra != 'extra-16-surf-new-backend-cpu' and extra != 'extra-16-surf-new-backend-cu126' and extra != 'extra-16-surf-new-backend-cu128'", ] conflicts = [[ @@ -1711,6 +2239,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/06/f3/39cf3367b8107baa44f861dc802cbf16263c945b62d8265d36034fc07bea/cachetools-7.0.5-py3-none-any.whl", hash = "sha256:46bc8ebefbe485407621d0a4264b23c080cedd913921bad7ac3ed2f26c183114", size = 13918 }, ] +[[package]] +name = "captchatools" +version = "1.5.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "requests" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/6b/38/01200f5b8169219002728ccddbad8cc50759e523c0884b7e811092d27352/captchatools-1.5.0.tar.gz", hash = "sha256:755ed685a93f6139608b5277ef0410f8682b3522e98f52d9cc3edff9df38ca12", size = 15282 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/ea/f1/7faaa20ffd68314215da2e3c57076c2c89846ab05464f1b7167dc8a9a80b/captchatools-1.5.0-py3-none-any.whl", hash = "sha256:43b651f7603be5725df94e4d715e0ff770efec44b62bb6076eb9a63516c74d94", size = 16394 }, +] + [[package]] name = "catalogue" version = "2.0.10" @@ -3421,24 +3961,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/18/79/1b8fa1bb3568781e84c9200f951c735f3f157429f44be0495da55894d620/filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25", size = 19970 }, ] -[[package]] -name = "firecrawl-py" -version = "4.21.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "aiohttp" }, - { name = "httpx" }, - { name = "nest-asyncio" }, - { name = "pydantic" }, - { name = "python-dotenv" }, - { name = "requests" }, - { name = "websockets" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/6d/6b/8201b737c0667bf70748b86a6fb117aefc648154b4e05c5ee649432cbc3d/firecrawl_py-4.21.0.tar.gz", hash = "sha256:14a7e0967d816c711c3c53325c9371e2f780a787d1e94333a34d8aea7a43a237", size = 174256 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/18/f1/1c0f1e5b33a318d7b9705b9e23c4397253d730e516e3d8a2f6aaea4b71a2/firecrawl_py-4.21.0-py3-none-any.whl", hash = "sha256:4e431f36117b4f2aaae633e747859a91626b0f2c6aaa6b7f86dfb7669a3595eb", size = 217607 }, -] - [[package]] name = "flashrank" version = "0.2.10" @@ -4906,19 +5428,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/b9/98/cb5ca20618d205a09d5bec7591fbc4130369c7e6308d9a676a28ff3ab22c/limits-5.8.0-py3-none-any.whl", hash = "sha256:ae1b008a43eb43073c3c579398bd4eb4c795de60952532dc24720ab45e1ac6b8", size = 60954 }, ] -[[package]] -name = "linkup-sdk" -version = "0.13.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "httpx" }, - { name = "pydantic" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/10/fa/d54d7086ceb8e8aa3777ae82f9876ceb7d15a6f583bbebf2fc2bea4cf69c/linkup_sdk-0.13.0.tar.gz", hash = "sha256:dab3f516bb955bdb9dd5815445bfdc7a2c9803dc57c3b4be4038d9e40f3d096a", size = 76440 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/4c/b8/9a8be932db54dc673c0a2f033831e9963cb4395352ce5a54a423e2fb58de/linkup_sdk-0.13.0-py3-none-any.whl", hash = "sha256:d4f5f4698cbaf4711a3296473f6030613c9c8ac829c83172a51c34c6e653808a", size = 11750 }, -] - [[package]] name = "litellm" version = "1.88.1" @@ -9844,7 +10353,7 @@ wheels = [ [[package]] name = "surf-new-backend" -version = "0.0.30" +version = "0.0.31" source = { editable = "." } dependencies = [ { name = "alembic" }, @@ -9853,6 +10362,7 @@ dependencies = [ { name = "azure-ai-documentintelligence" }, { name = "azure-storage-blob" }, { name = "boto3" }, + { name = "captchatools" }, { name = "celery", extra = ["redis"] }, { name = "chonkie", extra = ["all"] }, { name = "composio" }, @@ -9868,7 +10378,6 @@ dependencies = [ { name = "fastapi" }, { name = "fastapi-users", extra = ["oauth", "sqlalchemy"] }, { name = "faster-whisper" }, - { name = "firecrawl-py" }, { name = "fractional-indexing" }, { name = "github3-py" }, { name = "gitingest" }, @@ -9882,7 +10391,6 @@ dependencies = [ { name = "langchain-unstructured" }, { name = "langgraph" }, { name = "langgraph-checkpoint-postgres" }, - { name = "linkup-sdk" }, { name = "litellm" }, { name = "llama-cloud-services" }, { name = "markdown" }, @@ -9923,7 +10431,6 @@ dependencies = [ { name = "starlette" }, { name = "static-ffmpeg" }, { name = "stripe" }, - { name = "tavily-python" }, { name = "tornado" }, { name = "trafilatura" }, { name = "typst" }, @@ -9971,6 +10478,7 @@ requires-dist = [ { name = "azure-ai-documentintelligence", specifier = ">=1.0.2" }, { name = "azure-storage-blob", specifier = ">=12.23.0" }, { name = "boto3", specifier = ">=1.35.0" }, + { name = "captchatools", specifier = ">=1.5.0" }, { name = "celery", extras = ["redis"], specifier = ">=5.5.3" }, { name = "chonkie", extras = ["all"], specifier = ">=1.5.0" }, { name = "composio", specifier = ">=0.10.9" }, @@ -9986,7 +10494,6 @@ requires-dist = [ { name = "fastapi", specifier = ">=0.115.8" }, { name = "fastapi-users", extras = ["oauth", "sqlalchemy"], specifier = ">=15.0.3" }, { name = "faster-whisper", specifier = ">=1.1.0" }, - { name = "firecrawl-py", specifier = ">=4.9.0" }, { name = "fractional-indexing", specifier = ">=0.1.3" }, { name = "github3-py", specifier = "==4.0.1" }, { name = "gitingest", specifier = ">=0.3.1" }, @@ -10000,7 +10507,6 @@ requires-dist = [ { name = "langchain-unstructured", specifier = ">=1.0.1" }, { name = "langgraph", specifier = ">=1.1.3" }, { name = "langgraph-checkpoint-postgres", specifier = ">=3.0.2" }, - { name = "linkup-sdk", specifier = ">=0.2.4" }, { name = "litellm", specifier = ">=1.83.7" }, { name = "llama-cloud-services", specifier = ">=0.6.25" }, { name = "markdown", specifier = ">=3.7" }, @@ -10041,7 +10547,6 @@ requires-dist = [ { name = "starlette", specifier = ">=0.40.0,<0.51.0" }, { name = "static-ffmpeg", specifier = ">=2.13" }, { name = "stripe", specifier = ">=15.0.0" }, - { name = "tavily-python", specifier = ">=0.3.2" }, { name = "torch", marker = "sys_platform == 'linux' and extra == 'cpu'", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cpu", conflict = { package = "surf-new-backend", extra = "cpu" } }, { name = "torch", marker = "sys_platform == 'linux' and extra == 'cu126'", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cu126", conflict = { package = "surf-new-backend", extra = "cu126" } }, { name = "torch", marker = "sys_platform == 'linux' and extra == 'cu128'", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cu128", conflict = { package = "surf-new-backend", extra = "cu128" } }, @@ -10095,20 +10600,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/99/55/db07de81b5c630da5cbf5c7df646580ca26dfaefa593667fc6f2fe016d2e/tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3", size = 39814 }, ] -[[package]] -name = "tavily-python" -version = "0.7.23" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "httpx" }, - { name = "requests" }, - { name = "tiktoken" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/89/d1/197419d6133643848514e5e84e8f41886e825b73bf91ae235a1595c964f5/tavily_python-0.7.23.tar.gz", hash = "sha256:3b92232e0e29ab68898b765f281bb4f2c650b02210b64affbc48e15292e96161", size = 25968 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/64/27/f9c6e9249367be0772fb754849e03cbbc6ad8d80a479bf30ea8811828b2e/tavily_python-0.7.23-py3-none-any.whl", hash = "sha256:52ef85c44b926bce3f257570cd32bc1bd4db54666acf3105617f27411a59e188", size = 19079 }, -] - [[package]] name = "tenacity" version = "9.1.4" diff --git a/surfsense_browser_extension/background/messages/savedata.ts b/surfsense_browser_extension/background/messages/savedata.ts index 4bdca07fd..065b4d951 100644 --- a/surfsense_browser_extension/background/messages/savedata.ts +++ b/surfsense_browser_extension/background/messages/savedata.ts @@ -112,12 +112,12 @@ const handler: PlasmoMessaging.MessageHandler = async (req, res) => { })); const token = await storage.get("token"); - const search_space_id = parseInt(await storage.get("search_space_id"), 10); + const workspace_id = parseInt(await storage.get("workspace_id"), 10); const toSend = { document_type: "EXTENSION", content: content, - search_space_id: search_space_id, + workspace_id: workspace_id, }; console.log("toSend", toSend); diff --git a/surfsense_browser_extension/background/messages/savesnapshot.ts b/surfsense_browser_extension/background/messages/savesnapshot.ts index 8928e1b59..7bf0c0c84 100644 --- a/surfsense_browser_extension/background/messages/savesnapshot.ts +++ b/surfsense_browser_extension/background/messages/savesnapshot.ts @@ -106,12 +106,12 @@ const handler: PlasmoMessaging.MessageHandler = async (req, res) => { })); const token = await storage.get("token"); - const search_space_id = parseInt(await storage.get("search_space_id"), 10); + const workspace_id = parseInt(await storage.get("workspace_id"), 10); const toSend = { document_type: "EXTENSION", content: content, - search_space_id: search_space_id, + workspace_id: workspace_id, }; const requestOptions = { diff --git a/surfsense_browser_extension/package.json b/surfsense_browser_extension/package.json index 728909d06..8dda0d82f 100644 --- a/surfsense_browser_extension/package.json +++ b/surfsense_browser_extension/package.json @@ -1,7 +1,7 @@ { "name": "surfsense_browser_extension", "displayName": "Surfsense Browser Extension", - "version": "0.0.30", + "version": "0.0.31", "description": "Extension to collect Browsing History for SurfSense.", "author": "https://github.com/MODSetter", "engines": { diff --git a/surfsense_browser_extension/pnpm-workspace.yaml b/surfsense_browser_extension/pnpm-workspace.yaml new file mode 100644 index 000000000..23a9a8e9a --- /dev/null +++ b/surfsense_browser_extension/pnpm-workspace.yaml @@ -0,0 +1,7 @@ +allowBuilds: + '@parcel/watcher': set this to true or false + '@swc/core': set this to true or false + esbuild: set this to true or false + lmdb: set this to true or false + msgpackr-extract: set this to true or false + sharp: set this to true or false diff --git a/surfsense_browser_extension/routes/pages/HomePage.tsx b/surfsense_browser_extension/routes/pages/HomePage.tsx index 9d8787d29..ab2f6be42 100644 --- a/surfsense_browser_extension/routes/pages/HomePage.tsx +++ b/surfsense_browser_extension/routes/pages/HomePage.tsx @@ -33,6 +33,20 @@ import { getRenderedHtml } from "~utils/commons"; import type { WebHistory } from "~utils/interfaces"; import Loading from "./Loading"; +// One-time migration: legacy persisted keys were `search_space` / `search_space_id`. +// Copy them to the new `workspace` / `workspace_id` keys on first read so the +// user's selected workspace survives the rename. +async function migrateLegacyWorkspaceKeys(storage: Storage): Promise { + const legacyName = await storage.get("search_space"); + if (legacyName !== undefined && (await storage.get("workspace")) === undefined) { + await storage.set("workspace", legacyName); + } + const legacyId = await storage.get("search_space_id"); + if (legacyId !== undefined && (await storage.get("workspace_id")) === undefined) { + await storage.set("workspace_id", legacyId); + } +} + const HomePage = () => { const { toast } = useToast(); const navigation = useNavigate(); @@ -40,11 +54,11 @@ const HomePage = () => { const [loading, setLoading] = useState(true); const [open, setOpen] = React.useState(false); const [value, setValue] = React.useState(""); - const [searchspaces, setSearchSpaces] = useState([]); + const [workspaces, setWorkspaces] = useState([]); const [isSaving, setIsSaving] = useState(false); useEffect(() => { - const checkSearchSpaces = async () => { + const checkWorkspaces = async () => { const storage = new Storage({ area: "local" }); const token = await storage.get("token"); @@ -55,7 +69,7 @@ const HomePage = () => { } try { - const response = await fetch(await buildBackendUrl("/api/v1/searchspaces"), { + const response = await fetch(await buildBackendUrl("/api/v1/workspaces"), { headers: { Authorization: `Bearer ${token}`, } @@ -66,7 +80,7 @@ const HomePage = () => { } else { const res = await response.json(); console.log(res); - setSearchSpaces(res); + setWorkspaces(res); } } catch (error) { await storage.remove("token"); @@ -77,7 +91,7 @@ const HomePage = () => { } }; - checkSearchSpaces(); + checkWorkspaces(); }, []); useEffect(() => { @@ -98,10 +112,11 @@ const HomePage = () => { }); const storage = new Storage({ area: "local" }); - const searchspace = await storage.get("search_space"); + await migrateLegacyWorkspaceKeys(storage); + const workspace = await storage.get("workspace"); - if (searchspace) { - setValue(searchspace); + if (workspace) { + setValue(workspace); } await storage.set("showShadowDom", true); @@ -262,17 +277,17 @@ const HomePage = () => { const saveDatamessage = async () => { if (value === "") { toast({ - title: "Select a SearchSpace !", + title: "Select a Workspace !", }); return; } const storage = new Storage({ area: "local" }); - const search_space_id = await storage.get("search_space_id"); + const workspace_id = await storage.get("workspace_id"); - if (!search_space_id) { + if (!workspace_id) { toast({ - title: "Invalid SearchSpace selected!", + title: "Invalid Workspace selected!", variant: "destructive", }); return; @@ -319,15 +334,15 @@ const HomePage = () => { const storage = new Storage({ area: "local" }); await storage.remove("token"); await storage.remove("showShadowDom"); - await storage.remove("search_space"); - await storage.remove("search_space_id"); + await storage.remove("workspace"); + await storage.remove("workspace_id"); navigation("/login"); } if (loading) { return ; } else { - return searchspaces.length === 0 ? ( + return workspaces.length === 0 ? (
@@ -337,7 +352,7 @@ const HomePage = () => {

SurfSense

-

Please create a Search Space to continue

+

Please create a Workspace to continue

@@ -390,7 +405,7 @@ const HomePage = () => {
- + @@ -411,23 +426,23 @@ const HomePage = () => { className="border-gray-700 bg-gray-900 text-gray-200" /> - No search spaces found. + No workspaces found. - {searchspaces.map((space) => ( + {workspaces.map((space) => ( { const storage = new Storage({ area: "local" }); if (currentValue === value) { - await storage.set("search_space", ""); - await storage.set("search_space_id", 0); + await storage.set("workspace", ""); + await storage.set("workspace_id", 0); } else { - const selectedSpace = searchspaces.find( + const selectedSpace = workspaces.find( (space) => space.name === currentValue ); - await storage.set("search_space", currentValue); - await storage.set("search_space_id", selectedSpace.id); + await storage.set("workspace", currentValue); + await storage.set("workspace_id", selectedSpace.id); } setValue(currentValue === value ? "" : currentValue); setOpen(false); diff --git a/surfsense_browser_extension/tsconfig.tsbuildinfo b/surfsense_browser_extension/tsconfig.tsbuildinfo new file mode 100644 index 000000000..85318fb9e --- /dev/null +++ b/surfsense_browser_extension/tsconfig.tsbuildinfo @@ -0,0 +1 @@ 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\ No newline at end of file diff --git a/surfsense_desktop/package.json b/surfsense_desktop/package.json index f5915a875..f12b9722c 100644 --- a/surfsense_desktop/package.json +++ b/surfsense_desktop/package.json @@ -1,7 +1,7 @@ { "name": "surfsense-desktop", "productName": "SurfSense", - "version": "0.0.30", + "version": "0.0.31", "description": "SurfSense Desktop App", "main": "dist/main.js", "scripts": { diff --git a/surfsense_desktop/src/ipc/channels.ts b/surfsense_desktop/src/ipc/channels.ts index 436e0e064..308d8515e 100644 --- a/surfsense_desktop/src/ipc/channels.ts +++ b/surfsense_desktop/src/ipc/channels.ts @@ -50,8 +50,8 @@ export const IPC_CHANNELS = { GET_SHORTCUTS: 'shortcuts:get', SET_SHORTCUTS: 'shortcuts:set', // Active search space - GET_ACTIVE_SEARCH_SPACE: 'search-space:get-active', - SET_ACTIVE_SEARCH_SPACE: 'search-space:set-active', + GET_ACTIVE_WORKSPACE: 'workspace:get-active', + SET_ACTIVE_WORKSPACE: 'workspace:set-active', // Launch on system startup GET_AUTO_LAUNCH: 'auto-launch:get', SET_AUTO_LAUNCH: 'auto-launch:set', diff --git a/surfsense_desktop/src/ipc/handlers.ts b/surfsense_desktop/src/ipc/handlers.ts index ab4ba0d92..23b88e292 100644 --- a/surfsense_desktop/src/ipc/handlers.ts +++ b/surfsense_desktop/src/ipc/handlers.ts @@ -27,7 +27,7 @@ import { } from '../modules/folder-watcher'; import { getShortcuts, setShortcuts, type ShortcutConfig } from '../modules/shortcuts'; import { getAutoLaunchState, setAutoLaunch } from '../modules/auto-launch'; -import { getActiveSearchSpaceId, setActiveSearchSpaceId } from '../modules/active-search-space'; +import { getActiveWorkspaceId, setActiveWorkspaceId } from '../modules/active-workspace'; import { reregisterQuickAsk } from '../modules/quick-ask'; import { reregisterGeneralAssist, reregisterScreenshotAssist } from '../modules/tray'; import { @@ -205,9 +205,9 @@ export function registerIpcHandlers(): void { ipcMain.handle( IPC_CHANNELS.READ_AGENT_LOCAL_FILE_TEXT, - async (_event, virtualPath: string, searchSpaceId?: number | null) => { + async (_event, virtualPath: string, workspaceId?: number | null) => { try { - const result = await readAgentLocalFileText(virtualPath, searchSpaceId); + const result = await readAgentLocalFileText(virtualPath, workspaceId); return { ok: true, path: result.path, content: result.content }; } catch (error) { const message = error instanceof Error ? error.message : 'Failed to read local file'; @@ -218,9 +218,9 @@ export function registerIpcHandlers(): void { ipcMain.handle( IPC_CHANNELS.WRITE_AGENT_LOCAL_FILE_TEXT, - async (_event, virtualPath: string, content: string, searchSpaceId?: number | null) => { + async (_event, virtualPath: string, content: string, workspaceId?: number | null) => { try { - const result = await writeAgentLocalFileText(virtualPath, content, searchSpaceId); + const result = await writeAgentLocalFileText(virtualPath, content, workspaceId); return { ok: true, path: result.path }; } catch (error) { const message = error instanceof Error ? error.message : 'Failed to write local file'; @@ -321,10 +321,10 @@ export function registerIpcHandlers(): void { }, ); - ipcMain.handle(IPC_CHANNELS.GET_ACTIVE_SEARCH_SPACE, () => getActiveSearchSpaceId()); + ipcMain.handle(IPC_CHANNELS.GET_ACTIVE_WORKSPACE, () => getActiveWorkspaceId()); - ipcMain.handle(IPC_CHANNELS.SET_ACTIVE_SEARCH_SPACE, (_event, id: string) => - setActiveSearchSpaceId(id) + ipcMain.handle(IPC_CHANNELS.SET_ACTIVE_WORKSPACE, (_event, id: string) => + setActiveWorkspaceId(id) ); ipcMain.handle(IPC_CHANNELS.SET_SHORTCUTS, async (_event, config: Partial) => { @@ -370,12 +370,12 @@ export function registerIpcHandlers(): void { }; }); - ipcMain.handle(IPC_CHANNELS.AGENT_FILESYSTEM_GET_SETTINGS, (_event, searchSpaceId?: number | null) => - getAgentFilesystemSettings(searchSpaceId) + ipcMain.handle(IPC_CHANNELS.AGENT_FILESYSTEM_GET_SETTINGS, (_event, workspaceId?: number | null) => + getAgentFilesystemSettings(workspaceId) ); - ipcMain.handle(IPC_CHANNELS.AGENT_FILESYSTEM_GET_MOUNTS, (_event, searchSpaceId?: number | null) => - getAgentFilesystemMounts(searchSpaceId) + ipcMain.handle(IPC_CHANNELS.AGENT_FILESYSTEM_GET_MOUNTS, (_event, workspaceId?: number | null) => + getAgentFilesystemMounts(workspaceId) ); ipcMain.handle( @@ -384,7 +384,7 @@ export function registerIpcHandlers(): void { _event, options: { rootPath: string; - searchSpaceId?: number | null; + workspaceId?: number | null; excludePatterns?: string[] | null; fileExtensions?: string[] | null; } @@ -397,10 +397,10 @@ export function registerIpcHandlers(): void { ( _event, payload: { - searchSpaceId?: number | null; + workspaceId?: number | null; settings: { mode?: 'cloud' | 'desktop_local_folder'; localRootPaths?: string[] | null }; } - ) => setAgentFilesystemSettings(payload?.searchSpaceId, payload?.settings ?? {}) + ) => setAgentFilesystemSettings(payload?.workspaceId, payload?.settings ?? {}) ); ipcMain.handle(IPC_CHANNELS.AGENT_FILESYSTEM_PICK_ROOT, () => @@ -415,7 +415,7 @@ export function registerIpcHandlers(): void { ipcMain.handle( IPC_CHANNELS.AGENT_FILESYSTEM_TREE_WATCH_STOP, - (_event, searchSpaceId?: number | null) => - stopAgentFilesystemTreeWatch(searchSpaceId) + (_event, workspaceId?: number | null) => + stopAgentFilesystemTreeWatch(workspaceId) ); } diff --git a/surfsense_desktop/src/modules/active-search-space.ts b/surfsense_desktop/src/modules/active-search-space.ts deleted file mode 100644 index e5f55c8f4..000000000 --- a/surfsense_desktop/src/modules/active-search-space.ts +++ /dev/null @@ -1,24 +0,0 @@ -const STORE_KEY = 'activeSearchSpaceId'; -// eslint-disable-next-line @typescript-eslint/no-explicit-any -let store: any = null; - -async function getStore() { - if (!store) { - const { default: Store } = await import('electron-store'); - store = new Store({ - name: 'active-search-space', - defaults: { [STORE_KEY]: null as string | null }, - }); - } - return store; -} - -export async function getActiveSearchSpaceId(): Promise { - const s = await getStore(); - return (s.get(STORE_KEY) as string | null) ?? null; -} - -export async function setActiveSearchSpaceId(id: string): Promise { - const s = await getStore(); - s.set(STORE_KEY, id); -} diff --git a/surfsense_desktop/src/modules/active-workspace.ts b/surfsense_desktop/src/modules/active-workspace.ts new file mode 100644 index 000000000..82adb4de2 --- /dev/null +++ b/surfsense_desktop/src/modules/active-workspace.ts @@ -0,0 +1,33 @@ +const STORE_KEY = 'activeWorkspaceId'; +let store: any = null; + +async function getStore() { + if (!store) { + const { default: Store } = await import('electron-store'); + store = new Store({ + name: 'active-workspace', + defaults: { [STORE_KEY]: null as string | null }, + }); + // One-time migration from the legacy `active-search-space` store so the + // user's last-selected workspace survives the rename. + if (store.get(STORE_KEY) == null) { + const legacy: any = new Store({ + name: 'active-search-space', + defaults: { activeSearchSpaceId: null as string | null }, + }); + const prev = legacy.get('activeSearchSpaceId') as string | null; + if (prev != null) store.set(STORE_KEY, prev); + } + } + return store; +} + +export async function getActiveWorkspaceId(): Promise { + const s = await getStore(); + return (s.get(STORE_KEY) as string | null) ?? null; +} + +export async function setActiveWorkspaceId(id: string): Promise { + const s = await getStore(); + s.set(STORE_KEY, id); +} diff --git a/surfsense_desktop/src/modules/agent-filesystem-tree-watcher.ts b/surfsense_desktop/src/modules/agent-filesystem-tree-watcher.ts index 600f84fd5..6235e0342 100644 --- a/surfsense_desktop/src/modules/agent-filesystem-tree-watcher.ts +++ b/surfsense_desktop/src/modules/agent-filesystem-tree-watcher.ts @@ -8,7 +8,7 @@ const SAFETY_POLL_MS = 60_000; const EVENT_DEBOUNCE_MS = 700; export type AgentFilesystemTreeWatchOptions = { - searchSpaceId?: number | null; + workspaceId?: number | null; rootPaths: string[]; excludePatterns?: string[] | null; fileExtensions?: string[] | null; @@ -17,7 +17,7 @@ export type AgentFilesystemTreeWatchOptions = { type TreeDirtyReason = 'watcher_event' | 'safety_poll'; type TreeDirtyEvent = { - searchSpaceId: number | null; + workspaceId: number | null; reason: TreeDirtyReason; rootPath: string; changedPath: string | null; @@ -25,7 +25,7 @@ type TreeDirtyEvent = { }; type WatchSession = { - searchSpaceId: number | null; + workspaceId: number | null; optionsSignature: string; rootPaths: string[]; excludePatterns: string[]; @@ -40,15 +40,15 @@ type WatchSession = { const sessions = new Map(); -function normalizeSearchSpaceId(searchSpaceId?: number | null): number | null { - if (typeof searchSpaceId === 'number' && Number.isFinite(searchSpaceId) && searchSpaceId > 0) { - return searchSpaceId; +function normalizeWorkspaceId(workspaceId?: number | null): number | null { + if (typeof workspaceId === 'number' && Number.isFinite(workspaceId) && workspaceId > 0) { + return workspaceId; } return null; } -function getSessionKey(searchSpaceId?: number | null): string { - const normalized = normalizeSearchSpaceId(searchSpaceId); +function getSessionKey(workspaceId?: number | null): string { + const normalized = normalizeWorkspaceId(workspaceId); return normalized === null ? 'default' : String(normalized); } @@ -71,13 +71,13 @@ function normalizeExtensions(value: string[] | null | undefined): string[] | nul } function buildOptionsSignature( - searchSpaceId: number | null, + workspaceId: number | null, rootPaths: string[], excludePatterns: string[], fileExtensions: string[] | null ): string { return JSON.stringify({ - searchSpaceId, + workspaceId, rootPaths: [...rootPaths].sort(), excludePatterns: [...excludePatterns].sort(), fileExtensions: fileExtensions ? [...fileExtensions].sort() : null, @@ -99,10 +99,10 @@ async function buildRootSnapshotSignature( rootPath: string ): Promise { let hash = 2166136261; - hash = hashText(`space:${session.searchSpaceId ?? 'default'}|root:${rootPath}`, hash); + hash = hashText(`space:${session.workspaceId ?? 'default'}|root:${rootPath}`, hash); const files = await listAgentFilesystemFiles({ rootPath, - searchSpaceId: session.searchSpaceId, + workspaceId: session.workspaceId, excludePatterns: session.excludePatterns, fileExtensions: session.fileExtensions, }); @@ -118,13 +118,13 @@ async function buildRootSnapshotSignature( } function sendTreeDirtyEvent( - searchSpaceId: number | null, + workspaceId: number | null, reason: TreeDirtyReason, rootPath: string, changedPath: string | null ): void { const payload: TreeDirtyEvent = { - searchSpaceId, + workspaceId, reason, rootPath, changedPath, @@ -158,7 +158,7 @@ function scheduleDirtyEmit( session.pendingDirtyByRoot.clear(); for (const [pendingRootPath, payload] of pending) { sendTreeDirtyEvent( - session.searchSpaceId, + session.workspaceId, payload.reason, pendingRootPath, payload.changedPath @@ -183,21 +183,21 @@ async function closeSession(session: WatchSession): Promise { export async function startAgentFilesystemTreeWatch( options: AgentFilesystemTreeWatchOptions ): Promise<{ ok: true }> { - const searchSpaceId = normalizeSearchSpaceId(options.searchSpaceId); + const workspaceId = normalizeWorkspaceId(options.workspaceId); const rootPaths = Array.from( new Set(normalizeList(options.rootPaths).map((rootPath) => normalizeRootPath(rootPath))) ); const excludePatterns = Array.from(new Set(normalizeList(options.excludePatterns))); const fileExtensions = normalizeExtensions(options.fileExtensions); - const sessionKey = getSessionKey(searchSpaceId); + const sessionKey = getSessionKey(workspaceId); if (rootPaths.length === 0) { - await stopAgentFilesystemTreeWatch(searchSpaceId); + await stopAgentFilesystemTreeWatch(workspaceId); return { ok: true }; } const optionsSignature = buildOptionsSignature( - searchSpaceId, + workspaceId, rootPaths, excludePatterns, fileExtensions @@ -228,7 +228,7 @@ export async function startAgentFilesystemTreeWatch( ); const session: WatchSession = { - searchSpaceId, + workspaceId, optionsSignature, rootPaths, excludePatterns, @@ -291,9 +291,9 @@ export async function startAgentFilesystemTreeWatch( } export async function stopAgentFilesystemTreeWatch( - searchSpaceId?: number | null + workspaceId?: number | null ): Promise<{ ok: true }> { - const sessionKey = getSessionKey(searchSpaceId); + const sessionKey = getSessionKey(workspaceId); const session = sessions.get(sessionKey); if (!session) return { ok: true }; sessions.delete(sessionKey); diff --git a/surfsense_desktop/src/modules/agent-filesystem.ts b/surfsense_desktop/src/modules/agent-filesystem.ts index 608f8c4a4..7a24876f2 100644 --- a/surfsense_desktop/src/modules/agent-filesystem.ts +++ b/surfsense_desktop/src/modules/agent-filesystem.ts @@ -119,9 +119,9 @@ async function normalizeLocalRootPathsCanonical(paths: unknown): Promise 0) { - return String(searchSpaceId); +function normalizeWorkspaceKey(workspaceId?: number | null): string { + if (typeof workspaceId === "number" && Number.isFinite(workspaceId) && workspaceId > 0) { + return String(workspaceId); } return DEFAULT_SPACE_KEY; } @@ -147,9 +147,9 @@ function getDefaultStore(): AgentFilesystemSettingsStore { function getSettingsFromStore( store: AgentFilesystemSettingsStore, - searchSpaceId?: number | null + workspaceId?: number | null ): AgentFilesystemSettings { - const key = normalizeSearchSpaceKey(searchSpaceId); + const key = normalizeWorkspaceKey(workspaceId); return store.spaces[key] ?? getDefaultSettings(); } @@ -194,22 +194,22 @@ async function loadAgentFilesystemSettingsStore(): Promise { const store = await loadAgentFilesystemSettingsStore(); - return getSettingsFromStore(store, searchSpaceId); + return getSettingsFromStore(store, workspaceId); } export async function setAgentFilesystemSettings( - searchSpaceId: number | null | undefined, + workspaceId: number | null | undefined, settings: { mode?: AgentFilesystemMode; localRootPaths?: string[] | null; } ): Promise { const store = await loadAgentFilesystemSettingsStore(); - const key = normalizeSearchSpaceKey(searchSpaceId); - const current = getSettingsFromStore(store, searchSpaceId); + const key = normalizeWorkspaceKey(workspaceId); + const current = getSettingsFromStore(store, workspaceId); const nextMode = settings.mode === "cloud" || settings.mode === "desktop_local_folder" ? settings.mode @@ -291,7 +291,7 @@ export type LocalRootMount = { export type AgentFilesystemListOptions = { rootPath: string; - searchSpaceId?: number | null; + workspaceId?: number | null; excludePatterns?: string[] | null; fileExtensions?: string[] | null; }; @@ -332,9 +332,9 @@ function buildRootMounts(rootPaths: string[]): LocalRootMount[] { } export async function getAgentFilesystemMounts( - searchSpaceId?: number | null + workspaceId?: number | null ): Promise { - const rootPaths = await resolveCurrentRootPaths(searchSpaceId); + const rootPaths = await resolveCurrentRootPaths(workspaceId); return buildRootMounts(rootPaths); } @@ -371,7 +371,7 @@ function normalizeExcludeSet(excludePatterns: string[] | null | undefined): Set< export async function listAgentFilesystemFiles( options: AgentFilesystemListOptions ): Promise { - const allowedRootPaths = await resolveCurrentRootPaths(options.searchSpaceId); + const allowedRootPaths = await resolveCurrentRootPaths(options.workspaceId); const requestedRootPath = await canonicalizeRootPath(options.rootPath); const normalizedRequestedRoot = normalizeComparablePath(requestedRootPath); const allowedRoots = new Set( @@ -474,8 +474,8 @@ function toMountedVirtualPath(mount: string, rootPath: string, absolutePath: str return `/${mount}${relativePath}`; } -async function resolveCurrentRootPaths(searchSpaceId?: number | null): Promise { - const settings = await getAgentFilesystemSettings(searchSpaceId); +async function resolveCurrentRootPaths(workspaceId?: number | null): Promise { + const settings = await getAgentFilesystemSettings(workspaceId); if (settings.localRootPaths.length === 0) { throw new Error("No local filesystem roots selected"); } @@ -484,9 +484,9 @@ async function resolveCurrentRootPaths(searchSpaceId?: number | null): Promise { - const rootPaths = await resolveCurrentRootPaths(searchSpaceId); + const rootPaths = await resolveCurrentRootPaths(workspaceId); const mounts = buildRootMounts(rootPaths); const { mount, subPath } = parseMountedVirtualPath(virtualPath, mounts); const rootMount = findMountByName(mounts, mount); @@ -507,9 +507,9 @@ export async function readAgentLocalFileText( export async function writeAgentLocalFileText( virtualPath: string, content: string, - searchSpaceId?: number | null + workspaceId?: number | null ): Promise<{ path: string }> { - const rootPaths = await resolveCurrentRootPaths(searchSpaceId); + const rootPaths = await resolveCurrentRootPaths(workspaceId); const mounts = buildRootMounts(rootPaths); const { mount, subPath } = parseMountedVirtualPath(virtualPath, mounts); const rootMount = findMountByName(mounts, mount); diff --git a/surfsense_desktop/src/modules/folder-watcher.ts b/surfsense_desktop/src/modules/folder-watcher.ts index ee4214d8a..4115b8db5 100644 --- a/surfsense_desktop/src/modules/folder-watcher.ts +++ b/surfsense_desktop/src/modules/folder-watcher.ts @@ -5,6 +5,7 @@ import * as path from 'path'; import * as fs from 'fs'; import { IPC_CHANNELS } from '../ipc/channels'; import { trackEvent } from './analytics'; +import { migrateWatchedFolderConfigs } from './migrate-watched-folders'; export interface WatchedFolderConfig { path: string; @@ -12,7 +13,7 @@ export interface WatchedFolderConfig { excludePatterns: string[]; fileExtensions: string[] | null; rootFolderId: number | null; - searchSpaceId: number; + workspaceId: number; active: boolean; } @@ -27,7 +28,7 @@ type FolderSyncAction = 'add' | 'change' | 'unlink'; export interface FolderSyncFileChangedEvent { id: string; rootFolderId: number | null; - searchSpaceId: number; + workspaceId: number; folderPath: string; folderName: string; relativePath: string; @@ -68,6 +69,12 @@ async function getStore() { [STORE_KEY]: [] as WatchedFolderConfig[], }, }); + // One-time read-migration: legacy persisted configs stored the workspace as + // `searchSpaceId`. Map it to `workspaceId` and write back once so existing + // watched folders keep their sync target after the rename. + const raw = store.get(STORE_KEY, []) as Array>; + const { configs, migrated } = migrateWatchedFolderConfigs(raw); + if (migrated) store.set(STORE_KEY, configs); } return store; } @@ -267,7 +274,7 @@ async function startWatcher(config: WatchedFolderConfig) { if (storedMtime === undefined) { sendFileChangedEvent({ rootFolderId: config.rootFolderId, - searchSpaceId: config.searchSpaceId, + workspaceId: config.workspaceId, folderPath: config.path, folderName: config.name, relativePath: rel, @@ -278,7 +285,7 @@ async function startWatcher(config: WatchedFolderConfig) { } else if (Math.abs(currentMtime - storedMtime) >= MTIME_TOLERANCE_S * 1000) { sendFileChangedEvent({ rootFolderId: config.rootFolderId, - searchSpaceId: config.searchSpaceId, + workspaceId: config.workspaceId, folderPath: config.path, folderName: config.name, relativePath: rel, @@ -295,7 +302,7 @@ async function startWatcher(config: WatchedFolderConfig) { if (!(rel in currentMap)) { sendFileChangedEvent({ rootFolderId: config.rootFolderId, - searchSpaceId: config.searchSpaceId, + workspaceId: config.workspaceId, folderPath: config.path, folderName: config.name, relativePath: rel, @@ -346,7 +353,7 @@ async function startWatcher(config: WatchedFolderConfig) { sendFileChangedEvent({ rootFolderId: config.rootFolderId, - searchSpaceId: config.searchSpaceId, + workspaceId: config.workspaceId, folderPath: config.path, folderName: config.name, relativePath, @@ -403,7 +410,7 @@ export async function addWatchedFolder( } trackEvent('desktop_folder_watch_added', { - search_space_id: config.searchSpaceId, + workspace_id: config.workspaceId, root_folder_id: config.rootFolderId, active: config.active, has_exclude_patterns: (config.excludePatterns?.length ?? 0) > 0, @@ -431,7 +438,7 @@ export async function removeWatchedFolder( if (removed) { trackEvent('desktop_folder_watch_removed', { - search_space_id: removed.searchSpaceId, + workspace_id: removed.workspaceId, root_folder_id: removed.rootFolderId, }); } diff --git a/surfsense_desktop/src/modules/migrate-watched-folders.test.ts b/surfsense_desktop/src/modules/migrate-watched-folders.test.ts new file mode 100644 index 000000000..cd7b3623f --- /dev/null +++ b/surfsense_desktop/src/modules/migrate-watched-folders.test.ts @@ -0,0 +1,21 @@ +import assert from "node:assert/strict"; +import { test } from "node:test"; +import { migrateWatchedFolderConfigs } from "./migrate-watched-folders.ts"; + +// Run with: node --test src/modules/migrate-watched-folders.test.ts +test("maps legacy searchSpaceId to workspaceId and flags migration", () => { + const { configs, migrated } = migrateWatchedFolderConfigs<{ workspaceId?: number }>([ + { path: "/tmp/a", searchSpaceId: 42 }, + ]); + assert.equal(migrated, true); + assert.equal(configs[0].workspaceId, 42); + assert.equal("searchSpaceId" in (configs[0] as object), false); +}); + +test("leaves configs that already have workspaceId untouched", () => { + const { configs, migrated } = migrateWatchedFolderConfigs<{ workspaceId?: number }>([ + { path: "/tmp/b", workspaceId: 5 }, + ]); + assert.equal(migrated, false); + assert.equal(configs[0].workspaceId, 5); +}); diff --git a/surfsense_desktop/src/modules/migrate-watched-folders.ts b/surfsense_desktop/src/modules/migrate-watched-folders.ts new file mode 100644 index 000000000..2aa30fcd3 --- /dev/null +++ b/surfsense_desktop/src/modules/migrate-watched-folders.ts @@ -0,0 +1,23 @@ +/** + * One-time read-migration for persisted watched-folder configs: legacy configs + * stored the workspace as `searchSpaceId`. Map it to `workspaceId` so existing + * watched folders keep their sync target after the rename. Pure + dependency-free + * so it can be unit-checked without loading electron-store. + * + * Returns the migrated configs and whether anything changed (so callers can + * write back only when needed). + */ +export function migrateWatchedFolderConfigs( + raw: Array> +): { configs: T[]; migrated: boolean } { + let migrated = false; + const configs = raw.map((c) => { + if (c.workspaceId === undefined && c.searchSpaceId !== undefined) { + migrated = true; + const { searchSpaceId, ...rest } = c; + return { ...rest, workspaceId: searchSpaceId } as unknown as T; + } + return c as unknown as T; + }); + return { configs, migrated }; +} diff --git a/surfsense_desktop/src/modules/quick-ask.ts b/surfsense_desktop/src/modules/quick-ask.ts index 0807e2e08..4b48a3d19 100644 --- a/surfsense_desktop/src/modules/quick-ask.ts +++ b/surfsense_desktop/src/modules/quick-ask.ts @@ -4,14 +4,14 @@ import { IPC_CHANNELS } from '../ipc/channels'; import { checkAccessibilityPermission, getFrontmostApp, simulateCopy, simulatePaste } from './platform'; import { getServerOrigin } from './server'; import { getShortcuts } from './shortcuts'; -import { getActiveSearchSpaceId } from './active-search-space'; +import { getActiveWorkspaceId } from './active-workspace'; import { trackEvent } from './analytics'; let currentShortcut = ''; let quickAskWindow: BrowserWindow | null = null; let pendingText = ''; let pendingMode = ''; -let pendingSearchSpaceId: string | null = null; +let pendingWorkspaceId: string | null = null; let sourceApp = ''; let savedClipboard = ''; @@ -57,7 +57,7 @@ function createQuickAskWindow(x: number, y: number): BrowserWindow { skipTaskbar: true, }); - const spaceId = pendingSearchSpaceId; + const spaceId = pendingWorkspaceId; const route = spaceId ? `/dashboard/${spaceId}/new-chat` : '/dashboard'; quickAskWindow.loadURL(`${getServerOrigin()}${route}?quickAssist=true`); @@ -87,7 +87,7 @@ function createQuickAskWindow(x: number, y: number): BrowserWindow { async function openQuickAsk(text: string): Promise { pendingText = text; pendingMode = 'quick-assist'; - pendingSearchSpaceId = await getActiveSearchSpaceId(); + pendingWorkspaceId = await getActiveWorkspaceId(); const cursor = screen.getCursorScreenPoint(); const pos = clampToScreen(cursor.x, cursor.y, 450, 750); createQuickAskWindow(pos.x, pos.y); diff --git a/surfsense_desktop/src/modules/window.ts b/surfsense_desktop/src/modules/window.ts index bfcd9b512..3ab47fb58 100644 --- a/surfsense_desktop/src/modules/window.ts +++ b/surfsense_desktop/src/modules/window.ts @@ -3,7 +3,7 @@ import path from 'path'; import { trackEvent } from './analytics'; import { showErrorDialog } from './errors'; import { getServerOrigin, getServerPort } from './server'; -import { setActiveSearchSpaceId } from './active-search-space'; +import { setActiveWorkspaceId } from './active-workspace'; const isDev = !app.isPackaged; const isMac = process.platform === 'darwin'; @@ -140,14 +140,14 @@ export function createMainWindow(initialPath = '/dashboard'): BrowserWindow { }); // Auto-sync active search space from URL navigation - const syncSearchSpace = (url: string) => { + const syncWorkspace = (url: string) => { const match = url.match(/\/dashboard\/(\d+)/); if (match) { - setActiveSearchSpaceId(match[1]); + setActiveWorkspaceId(match[1]); } }; - mainWindow.webContents.on('did-navigate', (_event, url) => syncSearchSpace(url)); - mainWindow.webContents.on('did-navigate-in-page', (_event, url) => syncSearchSpace(url)); + mainWindow.webContents.on('did-navigate', (_event, url) => syncWorkspace(url)); + mainWindow.webContents.on('did-navigate-in-page', (_event, url) => syncWorkspace(url)); if (isDev) { mainWindow.webContents.openDevTools(); diff --git a/surfsense_desktop/src/preload.ts b/surfsense_desktop/src/preload.ts index 07f363a59..96079d241 100644 --- a/surfsense_desktop/src/preload.ts +++ b/surfsense_desktop/src/preload.ts @@ -74,10 +74,10 @@ contextBridge.exposeInMainWorld('electronAPI', { // Browse files via native dialog browseFiles: () => ipcRenderer.invoke(IPC_CHANNELS.BROWSE_FILES), readLocalFiles: (paths: string[]) => ipcRenderer.invoke(IPC_CHANNELS.READ_LOCAL_FILES, paths), - readAgentLocalFileText: (virtualPath: string, searchSpaceId?: number | null) => - ipcRenderer.invoke(IPC_CHANNELS.READ_AGENT_LOCAL_FILE_TEXT, virtualPath, searchSpaceId), - writeAgentLocalFileText: (virtualPath: string, content: string, searchSpaceId?: number | null) => - ipcRenderer.invoke(IPC_CHANNELS.WRITE_AGENT_LOCAL_FILE_TEXT, virtualPath, content, searchSpaceId), + readAgentLocalFileText: (virtualPath: string, workspaceId?: number | null) => + ipcRenderer.invoke(IPC_CHANNELS.READ_AGENT_LOCAL_FILE_TEXT, virtualPath, workspaceId), + writeAgentLocalFileText: (virtualPath: string, content: string, workspaceId?: number | null) => + ipcRenderer.invoke(IPC_CHANNELS.WRITE_AGENT_LOCAL_FILE_TEXT, virtualPath, content, workspaceId), // Auth token sync across windows getAccessToken: () => ipcRenderer.invoke(IPC_CHANNELS.GET_ACCESS_TOKEN), @@ -104,9 +104,9 @@ contextBridge.exposeInMainWorld('electronAPI', { ipcRenderer.invoke(IPC_CHANNELS.SET_AUTO_LAUNCH, { enabled, openAsHidden }), // Active search space - getActiveSearchSpace: () => ipcRenderer.invoke(IPC_CHANNELS.GET_ACTIVE_SEARCH_SPACE), - setActiveSearchSpace: (id: string) => - ipcRenderer.invoke(IPC_CHANNELS.SET_ACTIVE_SEARCH_SPACE, id), + getActiveWorkspace: () => ipcRenderer.invoke(IPC_CHANNELS.GET_ACTIVE_WORKSPACE), + setActiveWorkspace: (id: string) => + ipcRenderer.invoke(IPC_CHANNELS.SET_ACTIVE_WORKSPACE, id), // Analytics bridge — lets posthog-js running inside the Next.js renderer // mirror identify/reset/capture into the Electron main-process PostHog @@ -118,27 +118,27 @@ contextBridge.exposeInMainWorld('electronAPI', { ipcRenderer.invoke(IPC_CHANNELS.ANALYTICS_CAPTURE, { event, properties }), getAnalyticsContext: () => ipcRenderer.invoke(IPC_CHANNELS.ANALYTICS_GET_CONTEXT), // Agent filesystem mode - getAgentFilesystemSettings: (searchSpaceId?: number | null) => - ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_GET_SETTINGS, searchSpaceId), - getAgentFilesystemMounts: (searchSpaceId?: number | null) => - ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_GET_MOUNTS, searchSpaceId), + getAgentFilesystemSettings: (workspaceId?: number | null) => + ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_GET_SETTINGS, workspaceId), + getAgentFilesystemMounts: (workspaceId?: number | null) => + ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_GET_MOUNTS, workspaceId), listAgentFilesystemFiles: (options: { rootPath: string; - searchSpaceId?: number | null; + workspaceId?: number | null; excludePatterns?: string[] | null; fileExtensions?: string[] | null; }) => ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_LIST_FILES, options), startAgentFilesystemTreeWatch: (options: { - searchSpaceId?: number | null; + workspaceId?: number | null; rootPaths: string[]; excludePatterns?: string[] | null; fileExtensions?: string[] | null; }) => ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_TREE_WATCH_START, options), - stopAgentFilesystemTreeWatch: (searchSpaceId?: number | null) => - ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_TREE_WATCH_STOP, searchSpaceId), + stopAgentFilesystemTreeWatch: (workspaceId?: number | null) => + ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_TREE_WATCH_STOP, workspaceId), onAgentFilesystemTreeDirty: ( callback: (data: { - searchSpaceId: number | null; + workspaceId: number | null; reason: 'watcher_event' | 'safety_poll'; rootPath: string; changedPath: string | null; @@ -148,7 +148,7 @@ contextBridge.exposeInMainWorld('electronAPI', { const listener = ( _event: unknown, data: { - searchSpaceId: number | null; + workspaceId: number | null; reason: 'watcher_event' | 'safety_poll'; rootPath: string; changedPath: string | null; @@ -163,7 +163,7 @@ contextBridge.exposeInMainWorld('electronAPI', { setAgentFilesystemSettings: (settings: { mode?: "cloud" | "desktop_local_folder"; localRootPaths?: string[] | null; - }, searchSpaceId?: number | null) => - ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_SET_SETTINGS, { searchSpaceId, settings }), + }, workspaceId?: number | null) => + ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_SET_SETTINGS, { workspaceId, settings }), pickAgentFilesystemRoot: () => ipcRenderer.invoke(IPC_CHANNELS.AGENT_FILESYSTEM_PICK_ROOT), }); diff --git a/surfsense_desktop/tsconfig.json b/surfsense_desktop/tsconfig.json index a7862e222..4315c7571 100644 --- a/surfsense_desktop/tsconfig.json +++ b/surfsense_desktop/tsconfig.json @@ -12,5 +12,5 @@ "noEmit": true }, "include": ["src/**/*.ts"], - "exclude": ["node_modules", "dist", "scripts"] + "exclude": ["node_modules", "dist", "scripts", "src/**/*.test.ts"] } diff --git a/surfsense_mcp/.env.example b/surfsense_mcp/.env.example new file mode 100644 index 000000000..3267324f4 --- /dev/null +++ b/surfsense_mcp/.env.example @@ -0,0 +1,16 @@ +# Copy to .env (or set these in your MCP client config) and fill in your token. + +# API key from SurfSense (Settings -> API). Required. +SURFSENSE_API_KEY=ss_pat_your_token_here + +# Base URL of the SurfSense backend. Defaults to http://localhost:8000 +SURFSENSE_BASE_URL=http://localhost:8000 + +# Optional: default workspace (search space) by name or id, so you don't have +# to select one each session. +# SURFSENSE_WORKSPACE=My Research Space + +# Optional overrides. +# SURFSENSE_API_PREFIX=/api/v1 +# SURFSENSE_TIMEOUT=180 +# SURFSENSE_MCP_TRANSPORT=stdio diff --git a/surfsense_mcp/.gitignore b/surfsense_mcp/.gitignore new file mode 100644 index 000000000..c798b27c0 --- /dev/null +++ b/surfsense_mcp/.gitignore @@ -0,0 +1,7 @@ +.venv/ +.env +__pycache__/ +*.pyc +dist/ +build/ +*.egg-info/ diff --git a/surfsense_mcp/README.md b/surfsense_mcp/README.md new file mode 100644 index 000000000..47dabf55c --- /dev/null +++ b/surfsense_mcp/README.md @@ -0,0 +1,92 @@ +# SurfSense MCP Server + +A [Model Context Protocol](https://modelcontextprotocol.io/) server that exposes +SurfSense to MCP clients like **Claude Code**, **Cursor**, and **Claude Desktop**. +It talks to a running SurfSense backend purely over its REST API using a SurfSense +API key — it imports no backend code and can point at any instance (local or +hosted) by changing two environment variables. + +## Tools + +**Search-space selector** +- `surfsense_list_workspaces` — list the workspaces (search spaces) you can access +- `surfsense_select_workspace` — pick the active workspace by name or id + +**Scrapers (all platforms)** +- `surfsense_web_crawl`, `surfsense_google_search`, `surfsense_reddit_scrape`, + `surfsense_youtube_scrape`, `surfsense_youtube_comments`, + `surfsense_google_maps_scrape`, `surfsense_google_maps_reviews` +- `surfsense_list_scraper_runs`, `surfsense_get_scraper_run` — retrieve past + results in full (useful when a large result was truncated inline) + +**Knowledge base** +- `surfsense_search_knowledge_base` — semantic + keyword search over stored content +- `surfsense_list_documents`, `surfsense_get_document` +- `surfsense_add_document`, `surfsense_upload_file` +- `surfsense_update_document`, `surfsense_delete_document` + +Workspace-scoped tools default to the active workspace; pass `workspace` (a name +or id) to override for a single call. Ids never need to be typed by hand — the +model carries them between calls. + +## Prerequisites + +1. A running SurfSense backend (default `http://localhost:8000`). +2. A **SurfSense API key**: SurfSense → Settings → API → create key (`ss_pat_…`). +3. **API access enabled** on the workspace(s) you want to use (workspace settings). + +## Setup + +Uses [uv](https://github.com/astral-sh/uv): + +```bash +cd surfsense_mcp +uv sync +uv run python -m surfsense_mcp.selfcheck # verify tools register correctly +``` + +## Connect it to a client + +### Cursor + +Add to `~/.cursor/mcp.json` (or a project `.cursor/mcp.json`): + +```json +{ + "mcpServers": { + "surfsense": { + "command": "uv", + "args": ["run", "--directory", "/absolute/path/to/SurfSense/surfsense_mcp", "python", "-m", "surfsense_mcp"], + "env": { + "SURFSENSE_BASE_URL": "http://localhost:8000", + "SURFSENSE_API_KEY": "ss_pat_your_token_here" + } + } + } +} +``` + +### Claude Code + +```bash +claude mcp add surfsense \ + -e SURFSENSE_BASE_URL=http://localhost:8000 \ + -e SURFSENSE_API_KEY=ss_pat_your_token_here \ + -- uv run --directory /absolute/path/to/SurfSense/surfsense_mcp python -m surfsense_mcp +``` + +### Claude Desktop + +Add the same `mcpServers` block as Cursor to +`claude_desktop_config.json` (Settings → Developer → Edit Config). + +## Configuration + +See `.env.example`. Secrets are passed as environment variables by the client; +never commit tokens. + +## Backend dependency + +`surfsense_search_knowledge_base` calls `POST /api/v1/documents/search-semantic`, +a thin endpoint that exposes the backend's existing hybrid retriever over REST. +All other tools use pre-existing SurfSense endpoints. diff --git a/surfsense_mcp/pyproject.toml b/surfsense_mcp/pyproject.toml new file mode 100644 index 000000000..87db0c223 --- /dev/null +++ b/surfsense_mcp/pyproject.toml @@ -0,0 +1,27 @@ +[project] +name = "surfsense-mcp" +version = "0.1.0" +description = "MCP server exposing SurfSense scrapers, knowledge base, and workspace tools over the REST API." +readme = "README.md" +requires-python = ">=3.11" +license = { text = "Apache-2.0" } +dependencies = [ + "mcp>=1.26.0", + "httpx>=0.27.0", +] + +[project.scripts] +surfsense-mcp = "surfsense_mcp.__main__:main" + +[dependency-groups] +dev = ["pytest>=8.0"] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/surfsense_mcp"] + +[tool.ruff] +target-version = "py311" diff --git a/surfsense_mcp/src/surfsense_mcp/__init__.py b/surfsense_mcp/src/surfsense_mcp/__init__.py new file mode 100644 index 000000000..24f6ebae4 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/__init__.py @@ -0,0 +1,8 @@ +"""SurfSense MCP server. + +Exposes SurfSense's scrapers, knowledge base, and workspaces to MCP clients +(Claude Code, Cursor, Claude Desktop). Connects to a SurfSense backend over its +REST API, authenticating with a SurfSense API key. +""" + +__version__ = "0.1.0" diff --git a/surfsense_mcp/src/surfsense_mcp/__main__.py b/surfsense_mcp/src/surfsense_mcp/__main__.py new file mode 100644 index 000000000..6c878ebfa --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/__main__.py @@ -0,0 +1,31 @@ +"""Entry point: load settings from the environment and run the MCP server. + +Defaults to stdio (what Cursor, Claude Code, and Claude Desktop launch). stdout +is the protocol channel, so every log line goes to stderr. +""" + +from __future__ import annotations + +import logging +import os +import sys + +from .config import Settings +from .server import build_server + + +def main() -> None: + logging.basicConfig( + level=logging.INFO, + stream=sys.stderr, + format="%(levelname)s %(name)s: %(message)s", + ) + settings = Settings.from_env() + mcp, _client = build_server(settings) + + transport = os.environ.get("SURFSENSE_MCP_TRANSPORT", "stdio").strip() or "stdio" + mcp.run(transport=transport) + + +if __name__ == "__main__": + main() diff --git a/surfsense_mcp/src/surfsense_mcp/config.py b/surfsense_mcp/src/surfsense_mcp/config.py new file mode 100644 index 000000000..5d3646545 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/config.py @@ -0,0 +1,62 @@ +"""Runtime configuration, read once from the environment. + +Secrets never live in code or client config files — the client (Cursor/Claude) +passes them as environment variables when it launches this server (see README). +""" + +from __future__ import annotations + +import os +from dataclasses import dataclass + +DEFAULT_BASE_URL = "http://localhost:8000" +DEFAULT_API_PREFIX = "/api/v1" +DEFAULT_TIMEOUT_SECONDS = 180.0 + + +@dataclass(frozen=True) +class Settings: + """Resolved configuration for a server process.""" + + base_url: str + api_key: str + api_prefix: str + timeout: float + default_workspace: str | None + + @property + def api_base(self) -> str: + return f"{self.base_url}{self.api_prefix}" + + @classmethod + def from_env(cls) -> Settings: + api_key = os.environ.get("SURFSENSE_API_KEY", "").strip() + if not api_key: + raise SystemExit( + "SURFSENSE_API_KEY is required. Create an API key in SurfSense " + "(Settings -> API) and pass it via the SURFSENSE_API_KEY " + "environment variable." + ) + + base_url = ( + os.environ.get("SURFSENSE_BASE_URL", DEFAULT_BASE_URL).strip().rstrip("/") + ) + api_prefix = "/" + os.environ.get( + "SURFSENSE_API_PREFIX", DEFAULT_API_PREFIX + ).strip().strip("/") + + raw_timeout = os.environ.get("SURFSENSE_TIMEOUT", "").strip() + try: + timeout = float(raw_timeout) if raw_timeout else DEFAULT_TIMEOUT_SECONDS + except ValueError: + timeout = DEFAULT_TIMEOUT_SECONDS + + default_workspace = os.environ.get("SURFSENSE_WORKSPACE", "").strip() or None + + return cls( + base_url=base_url, + api_key=api_key, + api_prefix=api_prefix, + timeout=timeout, + default_workspace=default_workspace, + ) diff --git a/surfsense_mcp/src/surfsense_mcp/core/__init__.py b/surfsense_mcp/src/surfsense_mcp/core/__init__.py new file mode 100644 index 000000000..4580e4ce7 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/core/__init__.py @@ -0,0 +1 @@ +"""Cross-feature infrastructure: transport, workspace resolution, output shaping.""" diff --git a/surfsense_mcp/src/surfsense_mcp/core/client.py b/surfsense_mcp/src/surfsense_mcp/core/client.py new file mode 100644 index 000000000..55f9d6048 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/core/client.py @@ -0,0 +1,104 @@ +"""Authenticated transport to a SurfSense backend's REST API. + +Sends requests to fully-formed paths, returns parsed JSON, and turns any +transport or HTTP failure into a readable ``ToolError``. +""" + +from __future__ import annotations + +from typing import Any + +import httpx + +from .errors import ToolError + +_FAILURE_HINTS: dict[int, str] = { + 401: "Authentication failed — check that SURFSENSE_API_KEY is a valid, unexpired key.", + 402: "The workspace is out of credits for this operation.", + 403: ( + "Access denied — the token lacks permission, or API access is disabled " + "for this workspace (enable it in SurfSense workspace settings)." + ), + 404: "The requested resource was not found.", + 429: "Rate limited by the backend — retry after a short pause.", +} + + +class SurfSenseClient: + """Issues authenticated requests against ``{base_url}{api_prefix}``.""" + + def __init__(self, *, api_base: str, api_key: str, timeout: float) -> None: + self._api_base = api_base + self._http = httpx.AsyncClient( + base_url=api_base, + headers={ + "Authorization": f"Bearer {api_key}", + "Accept": "application/json", + }, + timeout=timeout, + ) + + async def request( + self, + method: str, + path: str, + *, + params: dict[str, Any] | None = None, + json: Any | None = None, + data: dict[str, Any] | None = None, + files: Any | None = None, + ) -> Any: + """Send a request and return the parsed body, or raise ``ToolError``.""" + # Omit unset query params: sending them empty makes the API parse "" + # as a value (e.g. int("") on folder_id) and fail. + if params is not None: + params = {key: value for key, value in params.items() if value is not None} + try: + response = await self._http.request( + method, path, params=params, json=json, data=data, files=files + ) + except httpx.RequestError as exc: + raise ToolError( + f"Could not reach SurfSense at {self._api_base}: {exc}. " + "Confirm the backend is running and SURFSENSE_BASE_URL is correct." + ) from exc + + if response.is_success: + return self._parse_body(response) + raise ToolError(self._explain_failure(response)) + + async def aclose(self) -> None: + await self._http.aclose() + + @staticmethod + def _parse_body(response: httpx.Response) -> Any: + if not response.content: + return None + try: + return response.json() + except ValueError: + return response.text + + @classmethod + def _explain_failure(cls, response: httpx.Response) -> str: + """Turn an error response into one actionable sentence for the model.""" + detail = cls._extract_detail(response) + hint = _FAILURE_HINTS.get(response.status_code) + if detail and hint: + return f"{hint} (server said: {detail})" + if detail: + return f"SurfSense returned {response.status_code}: {detail}" + return hint or f"SurfSense returned HTTP {response.status_code}." + + @staticmethod + def _extract_detail(response: httpx.Response) -> str | None: + try: + body = response.json() + except ValueError: + return response.text.strip() or None + if isinstance(body, dict): + detail = body.get("detail", body) + if isinstance(detail, dict): + return detail.get("message") or str(detail) + return str(detail) + return str(body) diff --git a/surfsense_mcp/src/surfsense_mcp/core/errors.py b/surfsense_mcp/src/surfsense_mcp/core/errors.py new file mode 100644 index 000000000..428def846 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/core/errors.py @@ -0,0 +1,12 @@ +"""The single failure type tools raise to speak plainly to the model. + +A failed tool call should tell the model what to do next, not leak a stack +trace. Anything the caller could act on — no workspace selected, an unknown id, +a rejected request — is raised as ``ToolError`` with a sentence safe to surface. +""" + +from __future__ import annotations + + +class ToolError(Exception): + """A user-actionable failure whose message is meant for the model to read.""" diff --git a/surfsense_mcp/src/surfsense_mcp/core/rendering.py b/surfsense_mcp/src/surfsense_mcp/core/rendering.py new file mode 100644 index 000000000..ebfdd9e71 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/core/rendering.py @@ -0,0 +1,72 @@ +"""Shape tool results into the format the caller asked for. + +Tools default to Markdown (readable for the model and the human watching), and +can return raw JSON when a caller wants to post-process the data. Large payloads +are clipped so a single call can't blow the context window. +""" + +from __future__ import annotations + +import json +from typing import Annotated, Any, Literal + +from pydantic import Field + +ResponseFormat = Literal["markdown", "json"] + +# Shared parameter type for every tool: same name, same semantics everywhere. +ResponseFormatParam = Annotated[ + ResponseFormat, + Field( + description="'markdown' (default, human-readable) or 'json' " + "(raw data for post-processing)." + ), +] + +DEFAULT_CLIP_CHARS = 20_000 +ITEM_FIELD_CLIP_CHARS = 1_500 + +# Fields that duplicate another field verbatim (e.g. Reddit's 'html' mirrors +# 'body') and only bloat inline results. The full record stays in the run. +_REDUNDANT_ITEM_FIELDS = frozenset({"html"}) + + +def compact_items(result: Any, field_limit: int = ITEM_FIELD_CLIP_CHARS) -> Any: + """Shrink a scraper result for inline return. + + Drops redundant fields and clips overlong strings per field, so a response + keeps every item as an excerpt instead of a few items in full. The + untruncated result remains retrievable via its stored run. + """ + if isinstance(result, dict) and isinstance(result.get("items"), list): + return { + **result, + "items": [_compact_item(item, field_limit) for item in result["items"]], + } + return result + + +def _compact_item(item: Any, field_limit: int) -> Any: + # ponytail: compacts top-level string fields only; nested structures pass + # through untouched. Upgrade path is a recursive walk if a platform nests + # long text. + if not isinstance(item, dict): + return item + return { + key: clip(value, field_limit) if isinstance(value, str) else value + for key, value in item.items() + if key not in _REDUNDANT_ITEM_FIELDS + } + + +def to_json(payload: Any) -> str: + """Pretty-print a payload as JSON, tolerating non-serializable values.""" + return json.dumps(payload, indent=2, ensure_ascii=False, default=str) + + +def clip(text: str, limit: int = DEFAULT_CLIP_CHARS) -> str: + """Trim overlong text, leaving a visible marker of how much was dropped.""" + if len(text) <= limit: + return text + dropped = len(text) - limit + return f"{text[:limit]}\n\n… [{dropped} more characters truncated]" diff --git a/surfsense_mcp/src/surfsense_mcp/core/workspace_context.py b/surfsense_mcp/src/surfsense_mcp/core/workspace_context.py new file mode 100644 index 000000000..6682d53b5 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/core/workspace_context.py @@ -0,0 +1,144 @@ +"""Active-workspace state and natural-language resolution of a workspace. + +Every workspace-scoped tool takes a workspace by name or id, or omits it to use +the active one. This keeps ids out of the conversation: the model (or user) +speaks a name, we resolve it, and remember the choice for later calls. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Annotated + +from pydantic import Field + +from .client import SurfSenseClient +from .errors import ToolError + +# Shared parameter type for every workspace-scoped tool. +WorkspaceParam = Annotated[ + str | None, + Field( + description="Workspace name or id, e.g. 'Research' or '3'. Omit to use " + "the active workspace (set with surfsense_select_workspace)." + ), +] + + +@dataclass(frozen=True) +class Workspace: + """A SurfSense workspace (the product's "search space").""" + + id: int + name: str + description: str | None = None + is_owner: bool = False + member_count: int = 1 + + +class WorkspaceContext: + """Resolves workspace references and tracks the active selection.""" + + def __init__( + self, client: SurfSenseClient, *, preferred_reference: str | None = None + ) -> None: + self._client = client + self._preferred_reference = preferred_reference + self._active: Workspace | None = None + + @property + def active(self) -> Workspace | None: + return self._active + + def remember(self, workspace: Workspace) -> Workspace: + """Make ``workspace`` the default for later scoped calls.""" + self._active = workspace + return workspace + + async def fetch_all(self) -> list[Workspace]: + """List every workspace the token can access.""" + rows = await self._client.request("GET", "/workspaces") + return [_to_workspace(row) for row in rows or []] + + async def resolve(self, reference: str | int | None) -> Workspace: + """Resolve a name/id (or the active/preferred default) to a workspace.""" + if reference is None or (isinstance(reference, str) and not reference.strip()): + return await self._resolve_default() + return self.remember(await self._match(reference)) + + async def _resolve_default(self) -> Workspace: + if self._active is not None: + return self._active + if self._preferred_reference: + return self.remember(await self._match(self._preferred_reference)) + return self.remember(await self._only_workspace_or_prompt()) + + async def _only_workspace_or_prompt(self) -> Workspace: + workspaces = await self.fetch_all() + if len(workspaces) == 1: + return workspaces[0] + if not workspaces: + raise ToolError( + "No accessible workspaces. Confirm the token's account has a " + "workspace with API access enabled." + ) + raise ToolError( + "No workspace selected. Choose one first with surfsense_select_workspace, " + f"or pass 'workspace'. Available: {_name_list(workspaces)}." + ) + + async def _match(self, reference: str | int) -> Workspace: + workspaces = await self.fetch_all() + as_id = _as_int(reference) + if as_id is not None: + found = next((w for w in workspaces if w.id == as_id), None) + if found is None: + raise ToolError( + f"No workspace with id {as_id}. Available: {_name_list(workspaces)}." + ) + return found + return _match_by_name(str(reference), workspaces) + + +def _match_by_name(reference: str, workspaces: list[Workspace]) -> Workspace: + """Match on name: exact, then case-insensitive, then unique substring.""" + needle = reference.strip() + exact = [w for w in workspaces if w.name == needle] + if exact: + return exact[0] + lowered = needle.casefold() + insensitive = [w for w in workspaces if w.name.casefold() == lowered] + if insensitive: + return insensitive[0] + partial = [w for w in workspaces if lowered in w.name.casefold()] + if len(partial) == 1: + return partial[0] + if len(partial) > 1: + raise ToolError( + f"'{reference}' matches several workspaces: {_name_list(partial)}. " + "Use a more specific name or the id." + ) + raise ToolError( + f"No workspace named '{reference}'. Available: {_name_list(workspaces)}." + ) + + +def _to_workspace(row: dict) -> Workspace: + return Workspace( + id=row["id"], + name=row["name"], + description=row.get("description"), + is_owner=row.get("is_owner", False), + member_count=row.get("member_count", 1), + ) + + +def _as_int(reference: str | int) -> int | None: + if isinstance(reference, int): + return reference + text = reference.strip() + return int(text) if text.isdigit() else None + + +def _name_list(workspaces: list[Workspace]) -> str: + return ", ".join(f"{w.name} (id {w.id})" for w in workspaces) diff --git a/surfsense_mcp/src/surfsense_mcp/features/__init__.py b/surfsense_mcp/src/surfsense_mcp/features/__init__.py new file mode 100644 index 000000000..0d3a683f6 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/features/__init__.py @@ -0,0 +1 @@ +"""Vertical slices: one folder per capability group exposed to MCP clients.""" diff --git a/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/__init__.py b/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/__init__.py new file mode 100644 index 000000000..7fb1802ae --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/__init__.py @@ -0,0 +1,379 @@ +"""Knowledge-base tools: search the KB and manage its documents. + +Semantic search plus the document lifecycle — list, read, add text, upload a +file, update, and delete — over a workspace's knowledge base. Search and reads +default to the active workspace; document ids identify a single document across +the whole account, so id-addressed tools need no workspace. +""" + +from __future__ import annotations + +import mimetypes +from pathlib import Path +from typing import Annotated + +from mcp.server.fastmcp import FastMCP +from mcp.types import ToolAnnotations +from pydantic import Field + +from ...core.client import SurfSenseClient +from ...core.errors import ToolError +from ...core.rendering import ResponseFormatParam, clip, to_json +from ...core.workspace_context import WorkspaceContext, WorkspaceParam +from .note_ingestion import build_note_document + +_READ = ToolAnnotations( + readOnlyHint=True, destructiveHint=False, idempotentHint=True, openWorldHint=False +) +_WRITE = ToolAnnotations( + readOnlyHint=False, destructiveHint=False, idempotentHint=False, openWorldHint=False +) +_DELETE = ToolAnnotations( + readOnlyHint=False, destructiveHint=True, idempotentHint=False, openWorldHint=False +) + +_DOCUMENT_ID = Annotated[ + int, + Field( + description="Document id from surfsense_search_knowledge_base or " + "surfsense_list_documents results." + ), +] + +_DOCUMENT_TYPES = Annotated[ + list[str] | None, + Field( + description="Restrict to these document types, e.g. " + "['FILE', 'CRAWLED_URL', 'YOUTUBE_VIDEO']. Omit for all types." + ), +] + + +def register( + mcp: FastMCP, client: SurfSenseClient, context: WorkspaceContext +) -> None: + """Register the knowledge-base tools on the server.""" + + @mcp.tool( + name="surfsense_search_knowledge_base", + title="Search knowledge base", + annotations=_READ, + structured_output=False, + ) + async def search_knowledge_base( + query: Annotated[ + str, + Field( + min_length=1, + description="Natural-language search, e.g. " + "'notebooklm user complaints'.", + ), + ], + top_k: Annotated[ + int, Field(ge=1, le=20, description="Maximum documents to return.") + ] = 5, + document_types: _DOCUMENT_TYPES = None, + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Search the workspace's knowledge base by meaning and keywords. + + Use this FIRST when a question might be answered by content already + stored in SurfSense — notes, uploaded files, saved pages, past + research. Do NOT use it to fetch new data from the web; use the + scraper tools for that. Returns the most relevant documents with the + passages that matched, ranked by relevance score. + Example: query='pricing feedback', top_k=5. + """ + resolved = await context.resolve(workspace) + hits = await client.request( + "POST", + "/documents/search-semantic", + json={ + "workspace_id": resolved.id, + "query": query, + "top_k": max(1, min(top_k, 20)), + "document_types": document_types, + }, + ) + items = (hits or {}).get("items", []) + if response_format == "json": + return to_json(items) + return _render_search(query, items) + + @mcp.tool( + name="surfsense_list_documents", + title="List documents", + annotations=_READ, + structured_output=False, + ) + async def list_documents( + document_types: _DOCUMENT_TYPES = None, + folder_id: Annotated[ + int | None, + Field(description="Only documents in this folder. Omit for all."), + ] = None, + page: Annotated[ + int, Field(ge=0, description="Zero-based page number.") + ] = 0, + page_size: Annotated[ + int, Field(ge=1, description="Documents per page.") + ] = 20, + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """List documents in the workspace's knowledge base, newest first. + + Use this to browse or inventory what is stored; to find documents + about a topic, prefer surfsense_search_knowledge_base. Returns each + document's title, id, type, and update time, plus a has_more flag — + request the next page by increasing page. + Example: document_types=['FILE'], page=0, page_size=20. + """ + resolved = await context.resolve(workspace) + result = await client.request( + "GET", + "/documents", + params={ + "workspace_id": resolved.id, + "page": page, + "page_size": page_size, + "document_types": _join(document_types), + "folder_id": folder_id, + }, + ) + if response_format == "json": + return to_json(result) + return _render_document_list(result) + + @mcp.tool( + name="surfsense_get_document", + title="Read one document", + annotations=_READ, + structured_output=False, + ) + async def get_document( + document_id: _DOCUMENT_ID, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Read one document's full content and metadata by id. + + Use this after surfsense_search_knowledge_base or + surfsense_list_documents to open a specific document — search results + only include the matching passages, this returns the whole text. + """ + document = await client.request("GET", f"/documents/{document_id}") + if response_format == "json": + return clip(to_json(document)) + return _render_document(document) + + @mcp.tool( + name="surfsense_add_document", + title="Add a note", + annotations=_WRITE, + structured_output=False, + ) + async def add_document( + title: Annotated[ + str, + Field(min_length=1, description="Short descriptive title for the note."), + ], + content: Annotated[ + str, + Field( + min_length=1, + description="The note's body; plain text or markdown.", + ), + ], + source_url: Annotated[ + str | None, + Field(description="Where the text came from, if anywhere."), + ] = None, + workspace: WorkspaceParam = None, + ) -> str: + """Save a text or markdown note into the workspace's knowledge base. + + Use this to store notes, summaries, or findings so they become + searchable later — e.g. after finishing a piece of research. For files + on disk use surfsense_upload_file instead. Indexing is asynchronous, + so the note may take a moment to appear in search. + Example: title='NotebookLM subreddits', content='- r/notebooklm ...'. + """ + resolved = await context.resolve(workspace) + await client.request( + "POST", + "/documents", + json=build_note_document( + workspace_id=resolved.id, + title=title, + content=content, + source_url=source_url, + ), + ) + return ( + f"Queued '{title}' for indexing in '{resolved.name}'. " + "It will be searchable once processing completes." + ) + + @mcp.tool( + name="surfsense_upload_file", + title="Upload a file", + annotations=_WRITE, + structured_output=False, + ) + async def upload_file( + file_path: Annotated[ + str, + Field( + description="Path to a local file, e.g. " + "'C:/Users/me/report.pdf' or '~/notes/summary.md'." + ), + ], + use_vision_llm: Annotated[ + bool, + Field( + description="True reads scanned or image-heavy files with a " + "vision model (slower)." + ), + ] = False, + workspace: WorkspaceParam = None, + ) -> str: + """Upload a local file (PDF, docx, markdown, etc.) into the knowledge base. + + Use this to ingest a file from disk so its content becomes searchable; + for text you already have in hand use surfsense_add_document instead. + The file is parsed, chunked, and indexed asynchronously. Duplicate + files are detected and skipped. + Example: file_path='C:/Users/me/report.pdf'. + """ + resolved = await context.resolve(workspace) + payload = _read_upload(file_path) + result = await client.request( + "POST", + "/documents/fileupload", + data={ + "workspace_id": str(resolved.id), + "use_vision_llm": str(use_vision_llm).lower(), + "processing_mode": "basic", + }, + files=[("files", payload)], + ) + pending = (result or {}).get("pending_files", 0) + skipped = (result or {}).get("skipped_duplicates", 0) + note = " (already present, skipped)" if skipped and not pending else "" + return ( + f"Uploaded '{Path(file_path).name}' to '{resolved.name}'{note}. " + "It will be searchable once processing completes." + ) + + @mcp.tool( + name="surfsense_update_document", + title="Replace a document's content", + annotations=_WRITE, + structured_output=False, + ) + async def update_document( + document_id: _DOCUMENT_ID, + content: Annotated[ + str, + Field( + min_length=1, + description="New full text; replaces the existing content " + "entirely.", + ), + ], + ) -> str: + """Replace a document's stored content by id. + + Use this to correct or rewrite a document's text. The new content + REPLACES the old entirely — to append, read the document first with + surfsense_get_document and resend the combined text. Search chunks are + not re-indexed by this call. + """ + existing = await client.request("GET", f"/documents/{document_id}") + await client.request( + "PUT", + f"/documents/{document_id}", + json={ + "document_type": existing["document_type"], + "workspace_id": existing["workspace_id"], + "content": content, + }, + ) + return f"Updated document {document_id} ('{existing.get('title', '')}')." + + @mcp.tool( + name="surfsense_delete_document", + title="Delete a document", + annotations=_DELETE, + structured_output=False, + ) + async def delete_document(document_id: _DOCUMENT_ID) -> str: + """Permanently delete a document from the knowledge base by id. + + Use this only when the user explicitly asks to remove a document — + deletion cannot be undone. The document stops appearing in searches + immediately. + """ + await client.request("DELETE", f"/documents/{document_id}") + return f"Deleted document {document_id}." + + +def _read_upload(file_path: str) -> tuple[str, bytes, str]: + path = Path(file_path).expanduser() + if not path.is_file(): + raise ToolError(f"No file at '{file_path}'.") + mime, _ = mimetypes.guess_type(path.name) + return (path.name, path.read_bytes(), mime or "application/octet-stream") + + +def _join(values: list[str] | None) -> str | None: + return ",".join(values) if values else None + + +def _render_search(query: str, items: list[dict]) -> str: + if not items: + return f'No matches for "{query}".' + lines = [f'# {len(items)} result(s) for "{query}"', ""] + for hit in items: + lines.append( + f"## {hit.get('title', 'Untitled')} " + f"(id {hit.get('document_id')}) — score {hit.get('score', 0):.3f}" + ) + for chunk in hit.get("chunks", []): + excerpt = clip(chunk.get("content", "").strip(), 500) + lines.append(f"> {excerpt}") + lines.append("") + return "\n".join(lines).strip() + + +def _render_document_list(result: dict | None) -> str: + items = (result or {}).get("items", []) + if not items: + return "No documents found." + lines = ["# Documents", ""] + for doc in items: + lines.append( + f"- **{doc.get('title', 'Untitled')}** (id {doc.get('id')}) · " + f"{doc.get('document_type')} · updated {doc.get('updated_at')}" + ) + total = (result or {}).get("total", len(items)) + page = (result or {}).get("page", 0) + has_more = (result or {}).get("has_more", False) + lines.append("") + lines.append( + f"_Page {page} · showing {len(items)} of {total}" + + (" · more available_" if has_more else "_") + ) + return "\n".join(lines) + + +def _render_document(document: dict) -> str: + content = clip(document.get("content", "") or "(empty)") + return ( + f"# {document.get('title', 'Untitled')} (id {document.get('id')})\n" + f"- type: {document.get('document_type')}\n" + f"- workspace: {document.get('workspace_id')}\n" + f"- updated: {document.get('updated_at')}\n\n" + f"{content}" + ) diff --git a/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/note_ingestion.py b/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/note_ingestion.py new file mode 100644 index 000000000..a02406c62 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/features/knowledge_base/note_ingestion.py @@ -0,0 +1,45 @@ +"""Translate a plain note into SurfSense's document-ingestion envelope. + +The REST API ingests free text through the browser-extension document shape +(title + page content + visit metadata); the backend then chunks and embeds it +like any saved page. Isolating that mapping lets the KB tool offer a simple +title+content surface without leaking the envelope's shape. +""" + +from __future__ import annotations + +import re +from datetime import datetime, timezone + + +def build_note_document( + *, workspace_id: int, title: str, content: str, source_url: str | None +) -> dict: + """Wrap a note in the EXTENSION document payload the create endpoint expects.""" + # ponytail: reuses the extension-ingestion path to add free text. Ceiling — + # visit metadata is synthesized; the "real page URL" is a stable synthetic + # link derived from the title. Upgrade path: a first-class note endpoint. + captured_at = datetime.now(timezone.utc).isoformat() + return { + "document_type": "EXTENSION", + "workspace_id": workspace_id, + "content": [ + { + "metadata": { + "BrowsingSessionId": "surfsense-mcp", + "VisitedWebPageURL": source_url or _synthetic_url(title), + "VisitedWebPageTitle": title, + "VisitedWebPageDateWithTimeInISOString": captured_at, + "VisitedWebPageReffererURL": "", + "VisitedWebPageVisitDurationInMilliseconds": "0", + }, + "pageContent": content, + } + ], + } + + +def _synthetic_url(title: str) -> str: + slug = re.sub(r"[^a-z0-9]+", "-", title.casefold()).strip("-") or "note" + stamp = datetime.now(timezone.utc).strftime("%Y%m%d%H%M%S") + return f"https://surfsense.local/mcp-note/{slug}-{stamp}" diff --git a/surfsense_mcp/src/surfsense_mcp/features/scrapers/__init__.py b/surfsense_mcp/src/surfsense_mcp/features/scrapers/__init__.py new file mode 100644 index 000000000..aa8265148 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/features/scrapers/__init__.py @@ -0,0 +1,570 @@ +"""Scraper tools: one MCP surface per SurfSense platform capability. + +Web crawl, Google Search, Reddit, YouTube, and Google Maps each get a tool that +maps a natural-language request to the workspace's scraper door. Two more tools +list and fetch past runs, so a large result truncated inline can be retrieved in +full later. +""" + +from __future__ import annotations + +from typing import Annotated, Literal + +from mcp.server.fastmcp import FastMCP +from mcp.types import ToolAnnotations +from pydantic import Field + +from ...core.client import SurfSenseClient +from ...core.rendering import ResponseFormatParam, clip, to_json +from ...core.workspace_context import WorkspaceContext, WorkspaceParam +from .capability import run_scraper + +# Scrapers reach the open web and record a billable run; they are neither +# read-only nor idempotent, but they do not mutate the knowledge base. +_SCRAPE = ToolAnnotations( + readOnlyHint=False, destructiveHint=False, idempotentHint=False, openWorldHint=True +) +_READ_RUNS = ToolAnnotations( + readOnlyHint=True, destructiveHint=False, idempotentHint=True, openWorldHint=False +) + +RedditSort = Literal["relevance", "hot", "top", "new", "rising", "comments"] +RedditTime = Literal["hour", "day", "week", "month", "year", "all"] +CommentSort = Literal["TOP_COMMENTS", "NEWEST_FIRST"] +ReviewSort = Literal["newest", "mostRelevant", "highestRanking", "lowestRanking"] + + +def register( + mcp: FastMCP, client: SurfSenseClient, context: WorkspaceContext +) -> None: + """Register the scraper and run-history tools on the server.""" + + @mcp.tool( + name="surfsense_web_crawl", + title="Crawl web pages", + annotations=_SCRAPE, + structured_output=False, + ) + async def web_crawl( + start_urls: Annotated[ + list[str], + Field( + min_length=1, + description="Full URLs to fetch, e.g. " + "['https://example.com/blog/post'].", + ), + ], + max_crawl_depth: Annotated[ + int, + Field( + ge=0, + description="Link-hops to follow from start_urls within the " + "same site. 0 fetches only start_urls.", + ), + ] = 0, + max_crawl_pages: Annotated[ + int, Field(ge=1, description="Stop after this many pages in total.") + ] = 10, + max_length: Annotated[ + int, Field(ge=1, description="Max characters kept per page.") + ] = 50_000, + include_url_patterns: Annotated[ + list[str] | None, + Field( + description="Regexes; only discovered links matching one are " + "followed, e.g. ['/docs/.*']." + ), + ] = None, + exclude_url_patterns: Annotated[ + list[str] | None, + Field(description="Regexes; discovered links matching one are skipped."), + ] = None, + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Fetch specific web pages and return their cleaned content as markdown. + + Use this to read a page the user names, or to spider a site from a + starting URL. Do NOT use it to find pages on a topic — use + surfsense_google_search for discovery. Returns one item per crawled + page: url, title, and the page text as markdown. + Example: start_urls=['https://blog.example.com'], max_crawl_depth=1, + include_url_patterns=['/2026/']. + """ + return await run_scraper( + client, + context, + platform="web", + verb="crawl", + payload={ + "startUrls": start_urls, + "maxCrawlDepth": max_crawl_depth, + "maxCrawlPages": max_crawl_pages, + "maxLength": max_length, + "includeUrlPatterns": include_url_patterns, + "excludeUrlPatterns": exclude_url_patterns, + }, + workspace=workspace, + response_format=response_format, + ) + + @mcp.tool( + name="surfsense_google_search", + title="Scrape Google Search", + annotations=_SCRAPE, + structured_output=False, + ) + async def google_search( + queries: Annotated[ + list[str], + Field( + min_length=1, + description="Search terms or full Google Search URLs, e.g. " + "['best rss readers 2026'].", + ), + ], + max_pages_per_query: Annotated[ + int, Field(ge=1, description="Result pages to fetch per query.") + ] = 1, + country_code: Annotated[ + str | None, + Field(description="Two-letter country to search from, e.g. 'us'."), + ] = None, + language_code: Annotated[ + str, Field(description="Results language, e.g. 'en'. Empty for default.") + ] = "", + site: Annotated[ + str | None, + Field( + description="Restrict results to one domain, e.g. 'example.com'." + ), + ] = None, + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Scrape Google Search result pages for one or more queries. + + Use this to discover pages on the open web by topic; follow up with + surfsense_web_crawl to read a result in full. Do NOT use it for + Reddit, YouTube, or Google Maps research — the dedicated tools return + richer data. Returns each query's parsed results: title, url, and + snippet per organic result. + Example: queries=['notebooklm review'], site='news.ycombinator.com'. + """ + return await run_scraper( + client, + context, + platform="google_search", + verb="scrape", + payload={ + "queries": queries, + "max_pages_per_query": max_pages_per_query, + "country_code": country_code, + "language_code": language_code, + "site": site, + }, + workspace=workspace, + response_format=response_format, + ) + + @mcp.tool( + name="surfsense_reddit_scrape", + title="Search or scrape Reddit", + annotations=_SCRAPE, + structured_output=False, + ) + async def reddit_scrape( + urls: Annotated[ + list[str] | None, + Field( + description="Reddit URLs: a post, a subreddit like " + "'https://reddit.com/r/LocalLLaMA', a user page, or a search " + "URL. Provide urls OR search_queries." + ), + ] = None, + search_queries: Annotated[ + list[str] | None, + Field( + description="Terms to search Reddit for, e.g. " + "['NotebookLM alternatives']. Provide search_queries OR urls." + ), + ] = None, + community: Annotated[ + str | None, + Field( + description="Restrict a search to one subreddit, name without " + "'r/', e.g. 'ArtificialInteligence'." + ), + ] = None, + sort: Annotated[RedditSort, Field(description="Post ordering.")] = "new", + time_filter: Annotated[ + RedditTime | None, + Field(description="Time window; only valid with sort='top'."), + ] = None, + max_items: Annotated[ + int, Field(ge=1, description="Maximum posts to return.") + ] = 10, + skip_comments: Annotated[ + bool, + Field( + description="True fetches posts only (faster); False also " + "fetches each post's comment thread." + ), + ] = False, + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Search or scrape Reddit: posts, comments, subreddits, and users. + + Use this for ANY Reddit research — finding relevant subreddits or + communities for a topic, top posts, or discussions — instead of a + generic web search. Returns posts (title, text, score, subreddit, url) + with comment threads unless skip_comments is set. Every post carries + its subreddit, so to find communities for a topic, search posts and + aggregate their subreddits. + Example: search_queries=['NotebookLM'], sort='top', time_filter='month'. + """ + return await run_scraper( + client, + context, + platform="reddit", + verb="scrape", + payload={ + "urls": urls, + "search_queries": search_queries, + "community": community, + "sort": sort, + "time_filter": time_filter, + "max_items": max_items, + "skip_comments": skip_comments, + }, + workspace=workspace, + response_format=response_format, + ) + + @mcp.tool( + name="surfsense_youtube_scrape", + title="Search or scrape YouTube", + annotations=_SCRAPE, + structured_output=False, + ) + async def youtube_scrape( + urls: Annotated[ + list[str] | None, + Field( + description="YouTube URLs: video, channel, playlist, shorts, " + "or hashtag pages. Provide urls OR search_queries." + ), + ] = None, + search_queries: Annotated[ + list[str] | None, + Field( + description="Terms to search YouTube for, e.g. " + "['NotebookLM tutorial']. Provide search_queries OR urls." + ), + ] = None, + max_results: Annotated[ + int, Field(ge=1, description="Maximum videos to return.") + ] = 10, + download_subtitles: Annotated[ + bool, + Field(description="True also fetches each video's transcript."), + ] = False, + subtitles_language: Annotated[ + str, Field(description="Transcript language code, e.g. 'en'.") + ] = "en", + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Search or scrape YouTube videos, optionally with transcripts. + + Use this for YouTube research: finding videos on a topic, or reading a + video's details or transcript. For a video's comment section use + surfsense_youtube_comments instead. Returns per-video metadata (title, + channel, views, description, url) and, if requested, the transcript. + Example: search_queries=['NotebookLM tutorial'], download_subtitles=True. + """ + return await run_scraper( + client, + context, + platform="youtube", + verb="scrape", + payload={ + "urls": urls, + "search_queries": search_queries, + "max_results": max_results, + "download_subtitles": download_subtitles, + "subtitles_language": subtitles_language, + }, + workspace=workspace, + response_format=response_format, + ) + + @mcp.tool( + name="surfsense_youtube_comments", + title="Fetch YouTube comments", + annotations=_SCRAPE, + structured_output=False, + ) + async def youtube_comments( + urls: Annotated[ + list[str], + Field( + min_length=1, + description="YouTube video URLs, e.g. " + "['https://www.youtube.com/watch?v=abc123'].", + ), + ], + max_comments: Annotated[ + int, + Field( + ge=1, + description="Maximum comments per video, counting top-level " + "comments and replies together.", + ), + ] = 20, + sort_by: Annotated[ + CommentSort, Field(description="Comment ordering.") + ] = "NEWEST_FIRST", + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Fetch the comments (and replies) on one or more YouTube videos. + + Use this when the user wants a video's discussion or audience reaction + rather than the video itself; get video URLs from + surfsense_youtube_scrape if you only have a topic. Returns comment + text, author, likes, and replies. + Example: urls=['https://www.youtube.com/watch?v=abc123'], max_comments=50. + """ + return await run_scraper( + client, + context, + platform="youtube", + verb="comments", + payload={ + "urls": urls, + "max_comments": max_comments, + "sort_by": sort_by, + }, + workspace=workspace, + response_format=response_format, + ) + + @mcp.tool( + name="surfsense_google_maps_scrape", + title="Find places on Google Maps", + annotations=_SCRAPE, + structured_output=False, + ) + async def google_maps_scrape( + search_queries: Annotated[ + list[str] | None, + Field( + description="Place searches, e.g. ['coffee shops']. Provide " + "search_queries OR urls OR place_ids." + ), + ] = None, + urls: Annotated[ + list[str] | None, + Field(description="Google Maps URLs of specific places."), + ] = None, + place_ids: Annotated[ + list[str] | None, + Field(description="Google place ids, e.g. ['ChIJj61dQgK6j4AR...']."), + ] = None, + location: Annotated[ + str | None, + Field( + description="Geographic scope for a search, e.g. " + "'Seattle, USA'." + ), + ] = None, + max_places: Annotated[ + int, Field(ge=1, description="Maximum places to return.") + ] = 10, + include_details: Annotated[ + bool, + Field( + description="True adds opening hours and extra contact info " + "(slower)." + ), + ] = False, + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Find places on Google Maps by search, URL, or place id. + + Use this for local-business and location research: names, addresses, + ratings, categories, coordinates, place ids. For a place's customer + reviews use surfsense_google_maps_reviews instead. + Example: search_queries=['ramen'], location='Osaka, Japan', max_places=5. + """ + return await run_scraper( + client, + context, + platform="google_maps", + verb="scrape", + payload={ + "search_queries": search_queries, + "urls": urls, + "place_ids": place_ids, + "location": location, + "max_places": max_places, + "include_details": include_details, + }, + workspace=workspace, + response_format=response_format, + ) + + @mcp.tool( + name="surfsense_google_maps_reviews", + title="Fetch Google Maps reviews", + annotations=_SCRAPE, + structured_output=False, + ) + async def google_maps_reviews( + urls: Annotated[ + list[str] | None, + Field( + description="Google Maps URLs of places. Provide urls OR " + "place_ids." + ), + ] = None, + place_ids: Annotated[ + list[str] | None, + Field( + description="Google place ids from surfsense_google_maps_scrape." + ), + ] = None, + max_reviews: Annotated[ + int, Field(ge=1, description="Maximum reviews per place.") + ] = 20, + sort_by: Annotated[ + ReviewSort, Field(description="Review ordering.") + ] = "newest", + language: Annotated[ + str, Field(description="Reviews language code, e.g. 'en'.") + ] = "en", + start_date: Annotated[ + str | None, + Field( + description="ISO date like '2026-01-01'; keeps only reviews on " + "or after that day." + ), + ] = None, + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Fetch customer reviews for Google Maps places by URL or place id. + + Use this to read feedback on specific places; get urls or place_ids + from surfsense_google_maps_scrape first if you only have a name. + Returns review text, rating, author, and date per review. + Example: place_ids=['ChIJj61dQgK6j4AR...'], sort_by='newest'. + """ + return await run_scraper( + client, + context, + platform="google_maps", + verb="reviews", + payload={ + "urls": urls, + "place_ids": place_ids, + "max_reviews": max_reviews, + "sort_by": sort_by, + "language": language, + "start_date": start_date, + }, + workspace=workspace, + response_format=response_format, + ) + + @mcp.tool( + name="surfsense_list_scraper_runs", + title="List past scraper runs", + annotations=_READ_RUNS, + structured_output=False, + ) + async def list_scraper_runs( + limit: Annotated[ + int, Field(ge=1, description="Maximum runs to list.") + ] = 20, + capability: Annotated[ + str | None, + Field( + description="Filter by capability slug, e.g. 'web.crawl' or " + "'reddit.scrape'." + ), + ] = None, + status: Annotated[ + str | None, + Field(description="Filter by run status: 'success' or 'error'."), + ] = None, + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """List recent scraper runs in the workspace, newest first. + + Use this to find the run_id of an earlier scrape — for example when an + inline result was truncated — then fetch it in full with + surfsense_get_scraper_run. Returns each run's id, capability, status, + item count, and creation time. + Example: capability='reddit.scrape', status='success'. + """ + resolved = await context.resolve(workspace) + runs = await client.request( + "GET", + f"/workspaces/{resolved.id}/scrapers/runs", + params={ + "limit": limit, + "capability": capability, + "status": status, + }, + ) + if response_format == "json": + return to_json(runs) + return _render_runs(runs) + + @mcp.tool( + name="surfsense_get_scraper_run", + title="Fetch one scraper run in full", + annotations=_READ_RUNS, + structured_output=False, + ) + async def get_scraper_run( + run_id: Annotated[ + str, + Field( + description="Run id from surfsense_list_scraper_runs or a " + "prior scrape's output." + ), + ], + workspace: WorkspaceParam = None, + response_format: ResponseFormatParam = "markdown", + ) -> str: + """Fetch a single scraper run in full, including its stored output. + + Use this to retrieve the complete, untruncated result of an earlier + scrape. Do NOT re-run a scraper just to recover a truncated result — + fetch the stored run instead. + """ + resolved = await context.resolve(workspace) + run = await client.request( + "GET", f"/workspaces/{resolved.id}/scrapers/runs/{run_id}" + ) + if response_format == "json": + return clip(to_json(run)) + return f"# Run {run.get('id', run_id)}\n\n```json\n{clip(to_json(run))}\n```" + + +def _render_runs(runs: list[dict] | None) -> str: + if not runs: + return "No scraper runs found." + lines = ["# Scraper runs", ""] + for run in runs: + lines.append( + f"- **{run.get('id')}** — {run.get('capability')} · {run.get('status')} · " + f"{run.get('item_count', 0)} item(s) · {run.get('created_at')}" + ) + return "\n".join(lines) diff --git a/surfsense_mcp/src/surfsense_mcp/features/scrapers/capability.py b/surfsense_mcp/src/surfsense_mcp/features/scrapers/capability.py new file mode 100644 index 000000000..7245c9f84 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/features/scrapers/capability.py @@ -0,0 +1,57 @@ +"""Run a SurfSense scraper capability and shape its result. + +Shared by every platform tool: POST a typed payload to the workspace's scraper +door and render the returned items as markdown or JSON. +""" + +from __future__ import annotations + +from typing import Any + +from ...core.client import SurfSenseClient +from ...core.rendering import ResponseFormat, clip, compact_items, to_json +from ...core.workspace_context import WorkspaceContext + + +async def run_scraper( + client: SurfSenseClient, + context: WorkspaceContext, + *, + platform: str, + verb: str, + payload: dict[str, Any], + workspace: str | None, + response_format: ResponseFormat, +) -> str: + """Execute one scraper verb for the resolved workspace and render its output.""" + resolved = await context.resolve(workspace) + body = {key: value for key, value in payload.items() if value is not None} + result = await client.request( + "POST", f"/workspaces/{resolved.id}/scrapers/{platform}/{verb}", json=body + ) + # Inline results are compacted (redundant fields dropped, long fields + # excerpted) so every item survives the overall clip; the complete output + # is stored server-side and retrievable with surfsense_get_scraper_run. + result = compact_items(result) + if response_format == "json": + return clip(to_json(result)) + return _render_markdown(platform, verb, resolved.name, result) + + +def _render_markdown( + platform: str, verb: str, workspace_name: str, result: Any +) -> str: + """A readable header plus the structured payload, clipped to a safe size.""" + header = f'# {platform}.{verb} — {_describe_size(result)} from "{workspace_name}"' + body = clip(to_json(result)) + footer = ( + "\n\nFields shown as excerpts; use surfsense_get_scraper_run for the " + "full output." + ) + return f"{header}\n\n```json\n{body}\n```{footer}" + + +def _describe_size(result: Any) -> str: + if isinstance(result, dict) and isinstance(result.get("items"), list): + return f"{len(result['items'])} item(s)" + return "result" diff --git a/surfsense_mcp/src/surfsense_mcp/features/workspaces/__init__.py b/surfsense_mcp/src/surfsense_mcp/features/workspaces/__init__.py new file mode 100644 index 000000000..6daef8a3c --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/features/workspaces/__init__.py @@ -0,0 +1,100 @@ +"""Search-space selector: discover workspaces and choose the active one. + +A workspace (the product calls it a "search space") scopes every other tool. +These two tools let a client list what's available and pick one by name, so the +rest of the conversation needs no ids. +""" + +from __future__ import annotations + +from typing import Annotated + +from mcp.server.fastmcp import FastMCP +from mcp.types import ToolAnnotations +from pydantic import Field + +from ...core.rendering import ResponseFormatParam, to_json +from ...core.workspace_context import Workspace, WorkspaceContext + +_READ_ONLY = ToolAnnotations( + readOnlyHint=True, destructiveHint=False, idempotentHint=True, openWorldHint=False +) + + +def register(mcp: FastMCP, context: WorkspaceContext) -> None: + """Register the workspace selector tools on the server.""" + + @mcp.tool( + name="surfsense_list_workspaces", + title="List workspaces", + annotations=_READ_ONLY, + structured_output=False, + ) + async def list_workspaces( + response_format: ResponseFormatParam = "markdown", + ) -> str: + """List the SurfSense workspaces (search spaces) the account can access. + + Use this to discover which workspaces exist before selecting one, or + when the user asks what search spaces they have. Returns each + workspace's name, id, description, ownership, and member count, and + marks the currently active one. + """ + workspaces = await context.fetch_all() + if response_format == "json": + return to_json([_as_dict(w) for w in workspaces]) + return _render_list(workspaces, active=context.active) + + @mcp.tool( + name="surfsense_select_workspace", + title="Select active workspace", + annotations=_READ_ONLY, + structured_output=False, + ) + async def select_workspace( + workspace: Annotated[ + str, + Field( + description="Workspace name or numeric id; matching is " + "case-insensitive and a unique partial name works. " + "Example: 'Research'." + ), + ], + ) -> str: + """Set the active workspace (search space) that later tools default to. + + Use this when the user says which search space to work in ("use my + Research space"), or after surfsense_list_workspaces when several + exist. Once set, workspace-scoped tools use it unless given a + different 'workspace'. Do NOT call it before every tool — once per + session is enough. + """ + selected = await context.resolve(workspace) + return ( + f"Active workspace is now '{selected.name}' (id {selected.id}). " + "Other tools will use it unless you pass a different 'workspace'." + ) + + +def _render_list(workspaces: list[Workspace], *, active: Workspace | None) -> str: + if not workspaces: + return "No accessible workspaces." + lines = ["# Workspaces", ""] + for workspace in workspaces: + marker = " — active" if active and active.id == workspace.id else "" + role = "owner" if workspace.is_owner else "member" + lines.append(f"- **{workspace.name}** (id {workspace.id}){marker}") + if workspace.description: + lines.append(f" - {workspace.description}") + lines.append(f" - {role}, {workspace.member_count} member(s)") + return "\n".join(lines) + + +def _as_dict(workspace: Workspace) -> dict: + return { + "id": workspace.id, + "name": workspace.name, + "description": workspace.description, + "is_owner": workspace.is_owner, + "member_count": workspace.member_count, + } diff --git a/surfsense_mcp/src/surfsense_mcp/selfcheck.py b/surfsense_mcp/src/surfsense_mcp/selfcheck.py new file mode 100644 index 000000000..e38edc909 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/selfcheck.py @@ -0,0 +1,93 @@ +"""Offline smoke check: every tool registers with a usable name, doc, and schema. + +Runs without a backend or network — it only assembles the server and inspects +the tool manifest the client would see. Fails loudly if a tool is missing, its +description is too thin to route on, or its input schema is malformed. +""" + +from __future__ import annotations + +import asyncio +import sys + +from .config import Settings +from .server import build_server + +EXPECTED_TOOLS = { + # search-space selector + "surfsense_list_workspaces", + "surfsense_select_workspace", + # scrapers (all platforms) + run history + "surfsense_web_crawl", + "surfsense_google_search", + "surfsense_reddit_scrape", + "surfsense_youtube_scrape", + "surfsense_youtube_comments", + "surfsense_google_maps_scrape", + "surfsense_google_maps_reviews", + "surfsense_list_scraper_runs", + "surfsense_get_scraper_run", + # knowledge-base management + "surfsense_search_knowledge_base", + "surfsense_list_documents", + "surfsense_get_document", + "surfsense_add_document", + "surfsense_upload_file", + "surfsense_update_document", + "surfsense_delete_document", +} + +_MIN_DESCRIPTION_CHARS = 40 + + +async def _collect_tools() -> dict[str, object]: + settings = Settings( + base_url="http://localhost:8000", + api_key="ss_pat_selfcheck", + api_prefix="/api/v1", + timeout=5.0, + default_workspace=None, + ) + mcp, _client = build_server(settings) + tools = await mcp.list_tools() + return {tool.name: tool for tool in tools} + + +def run() -> list[str]: + """Return a list of problems; empty means the manifest is healthy.""" + tools = asyncio.run(_collect_tools()) + problems: list[str] = [] + + missing = EXPECTED_TOOLS - tools.keys() + if missing: + problems.append(f"missing tools: {sorted(missing)}") + unexpected = tools.keys() - EXPECTED_TOOLS + if unexpected: + problems.append(f"unexpected tools: {sorted(unexpected)}") + + for name, tool in tools.items(): + description = tool.description or "" + if len(description) < _MIN_DESCRIPTION_CHARS: + problems.append(f"{name}: description too short to route on") + schema = tool.inputSchema + if not isinstance(schema, dict) or "properties" not in schema: + problems.append(f"{name}: malformed input schema") + continue + for param, spec in schema["properties"].items(): + if not isinstance(spec, dict) or not spec.get("description"): + problems.append(f"{name}: parameter '{param}' has no description") + return problems + + +def main() -> None: + problems = run() + if problems: + print("selfcheck FAILED:", file=sys.stderr) + for problem in problems: + print(f" - {problem}", file=sys.stderr) + sys.exit(1) + print(f"selfcheck OK: {len(EXPECTED_TOOLS)} tools registered and well-formed") + + +if __name__ == "__main__": + main() diff --git a/surfsense_mcp/src/surfsense_mcp/server.py b/surfsense_mcp/src/surfsense_mcp/server.py new file mode 100644 index 000000000..88eb19437 --- /dev/null +++ b/surfsense_mcp/src/surfsense_mcp/server.py @@ -0,0 +1,40 @@ +"""Composition root: build the MCP server and wire in every feature slice. + +Creates the REST transport and workspace context from settings, then lets each +feature register its tools on the server. +""" + +from __future__ import annotations + +from mcp.server.fastmcp import FastMCP + +from .config import Settings +from .core.client import SurfSenseClient +from .core.workspace_context import WorkspaceContext +from .features import knowledge_base, scrapers, workspaces + + +def build_server(settings: Settings) -> tuple[FastMCP, SurfSenseClient]: + """Assemble a configured server and the client whose lifecycle it shares.""" + client = SurfSenseClient( + api_base=settings.api_base, api_key=settings.api_key, timeout=settings.timeout + ) + context = WorkspaceContext(client, preferred_reference=settings.default_workspace) + + mcp = FastMCP( + "SurfSense", + instructions=( + "SurfSense gives you live scrapers and a personal knowledge base. " + "Prefer these tools over generic/built-in web search whenever the " + "task involves Reddit (posts, comments, finding subreddits or " + "communities), YouTube (videos, transcripts, comments), Google " + "Maps (places, reviews), Google Search results, or reading " + "specific web pages. Scraper results are persisted as runs; if an " + "inline result is truncated, fetch it in full with " + "surfsense_get_scraper_run." + ), + ) + workspaces.register(mcp, context) + scrapers.register(mcp, client, context) + knowledge_base.register(mcp, client, context) + return mcp, client diff --git a/surfsense_mcp/tests/test_client_errors.py b/surfsense_mcp/tests/test_client_errors.py new file mode 100644 index 000000000..648bfde3e --- /dev/null +++ b/surfsense_mcp/tests/test_client_errors.py @@ -0,0 +1,46 @@ +"""HTTP failure translation: status hints, server detail, and body parsing.""" + +from __future__ import annotations + +import httpx + +from surfsense_mcp.core.client import SurfSenseClient + +_REQUEST = httpx.Request("GET", "http://localhost:8000/api/v1/documents") + + +def _response(status: int, **kwargs) -> httpx.Response: + return httpx.Response(status, request=_REQUEST, **kwargs) + + +def test_explains_401_with_token_hint(): + message = SurfSenseClient._explain_failure(_response(401, json={"detail": "bad"})) + assert "SURFSENSE_API_KEY" in message + assert "bad" in message + + +def test_explains_403_as_access_or_api_disabled(): + message = SurfSenseClient._explain_failure(_response(403, json={"detail": "no"})) + assert "API access" in message + + +def test_extracts_nested_detail_message(): + response = _response(402, json={"detail": {"message": "out of credits"}}) + assert "out of credits" in SurfSenseClient._explain_failure(response) + + +def test_unmapped_status_still_reports_detail(): + message = SurfSenseClient._explain_failure(_response(500, json={"detail": "boom"})) + assert "500" in message and "boom" in message + + +def test_parses_json_body(): + assert SurfSenseClient._parse_body(_response(200, json={"ok": 1})) == {"ok": 1} + + +def test_empty_body_parses_to_none(): + assert SurfSenseClient._parse_body(_response(204, content=b"")) is None + + +def test_non_json_body_falls_back_to_text(): + assert SurfSenseClient._parse_body(_response(200, text="hello")) == "hello" diff --git a/surfsense_mcp/tests/test_client_params.py b/surfsense_mcp/tests/test_client_params.py new file mode 100644 index 000000000..4840ad488 --- /dev/null +++ b/surfsense_mcp/tests/test_client_params.py @@ -0,0 +1,38 @@ +"""Unset query params must be omitted, not sent as empty strings.""" + +from __future__ import annotations + +import asyncio + +import httpx + +from surfsense_mcp.core.client import SurfSenseClient + + +def _capture(client: SurfSenseClient) -> dict: + """Swap in a mock transport that records the request it receives.""" + seen: dict = {} + + async def handler(request: httpx.Request) -> httpx.Response: + seen["url"] = str(request.url) + seen["params"] = dict(request.url.params) + return httpx.Response(200, json={"ok": True}) + + client._http = httpx.AsyncClient( + base_url="http://test/api/v1", transport=httpx.MockTransport(handler) + ) + return seen + + +def test_none_params_are_dropped(): + client = SurfSenseClient(api_base="http://test/api/v1", api_key="ss_pat_x", timeout=5) + seen = _capture(client) + asyncio.run( + client.request( + "GET", + "/documents", + params={"workspace_id": 1, "document_types": None, "folder_id": None}, + ) + ) + assert seen["params"] == {"workspace_id": "1"} + assert "folder_id" not in seen["url"] diff --git a/surfsense_mcp/tests/test_note_ingestion.py b/surfsense_mcp/tests/test_note_ingestion.py new file mode 100644 index 000000000..6ab16acfc --- /dev/null +++ b/surfsense_mcp/tests/test_note_ingestion.py @@ -0,0 +1,31 @@ +"""The note-to-document envelope mapping.""" + +from __future__ import annotations + +from surfsense_mcp.features.knowledge_base.note_ingestion import build_note_document + + +def test_builds_extension_document_with_content(): + doc = build_note_document( + workspace_id=3, title="Meeting notes", content="body", source_url=None + ) + assert doc["document_type"] == "EXTENSION" + assert doc["workspace_id"] == 3 + entry = doc["content"][0] + assert entry["pageContent"] == "body" + assert entry["metadata"]["VisitedWebPageTitle"] == "Meeting notes" + + +def test_synthesizes_url_when_none_given(): + doc = build_note_document( + workspace_id=1, title="Q3 Plan!", content="x", source_url=None + ) + url = doc["content"][0]["metadata"]["VisitedWebPageURL"] + assert url.startswith("https://surfsense.local/mcp-note/q3-plan-") + + +def test_keeps_provided_source_url(): + doc = build_note_document( + workspace_id=1, title="t", content="x", source_url="https://example.com/a" + ) + assert doc["content"][0]["metadata"]["VisitedWebPageURL"] == "https://example.com/a" diff --git a/surfsense_mcp/tests/test_rendering.py b/surfsense_mcp/tests/test_rendering.py new file mode 100644 index 000000000..5b254e39a --- /dev/null +++ b/surfsense_mcp/tests/test_rendering.py @@ -0,0 +1,42 @@ +"""Output shaping: clipping oversized text and JSON serialization.""" + +from __future__ import annotations + +from surfsense_mcp.core.rendering import clip, compact_items, to_json + + +def test_clip_leaves_short_text_untouched(): + assert clip("short", limit=100) == "short" + + +def test_clip_truncates_and_marks_dropped_characters(): + clipped = clip("x" * 50, limit=10) + assert clipped.startswith("x" * 10) + assert "40 more characters truncated" in clipped + + +def test_to_json_serializes_non_native_values(): + from datetime import datetime + + rendered = to_json({"at": datetime(2026, 1, 2, 3, 4, 5)}) + assert "2026-01-02" in rendered + + +def test_compact_items_drops_html_and_excerpts_long_fields(): + result = { + "items": [ + {"title": "t", "body": "b" * 5_000, "html": "

dup

", "upVotes": 3} + ] + } + compacted = compact_items(result, field_limit=100) + item = compacted["items"][0] + assert "html" not in item + assert len(item["body"]) < 200 and "truncated" in item["body"] + assert item["upVotes"] == 3 + # original untouched + assert "html" in result["items"][0] + + +def test_compact_items_passes_through_non_item_results(): + assert compact_items({"ok": True}) == {"ok": True} + assert compact_items([1, 2]) == [1, 2] diff --git a/surfsense_mcp/tests/test_workspace_context.py b/surfsense_mcp/tests/test_workspace_context.py new file mode 100644 index 000000000..9ba9c2ca3 --- /dev/null +++ b/surfsense_mcp/tests/test_workspace_context.py @@ -0,0 +1,98 @@ +"""Workspace resolution: names, ids, defaults, and the ambiguous cases.""" + +from __future__ import annotations + +import asyncio + +import pytest + +from surfsense_mcp.core.errors import ToolError +from surfsense_mcp.core.workspace_context import WorkspaceContext + + +class FakeClient: + """Stands in for SurfSenseClient, serving a fixed workspace list.""" + + def __init__(self, rows: list[dict]) -> None: + self._rows = rows + + async def request(self, method: str, path: str, **_kwargs): + assert (method, path) == ("GET", "/workspaces") + return self._rows + + +def _rows(*names_ids: tuple[str, int]) -> list[dict]: + return [{"id": wid, "name": name} for name, wid in names_ids] + + +def _context(rows: list[dict], preferred: str | None = None) -> WorkspaceContext: + return WorkspaceContext(FakeClient(rows), preferred_reference=preferred) + + +def test_resolves_exact_name(): + ctx = _context(_rows(("Research", 1), ("Marketing", 2))) + assert asyncio.run(ctx.resolve("Research")).id == 1 + + +def test_resolves_case_insensitively(): + ctx = _context(_rows(("Research", 1))) + assert asyncio.run(ctx.resolve("research")).id == 1 + + +def test_resolves_unique_substring(): + ctx = _context(_rows(("Research Space", 1), ("Marketing", 2))) + assert asyncio.run(ctx.resolve("resea")).id == 1 + + +def test_ambiguous_substring_is_rejected(): + ctx = _context(_rows(("Research A", 1), ("Research B", 2))) + with pytest.raises(ToolError): + asyncio.run(ctx.resolve("research")) + + +def test_resolves_by_numeric_id(): + ctx = _context(_rows(("Research", 1), ("Marketing", 2))) + assert asyncio.run(ctx.resolve(2)).name == "Marketing" + assert asyncio.run(ctx.resolve("2")).name == "Marketing" + + +def test_unknown_id_is_rejected(): + ctx = _context(_rows(("Research", 1))) + with pytest.raises(ToolError): + asyncio.run(ctx.resolve(99)) + + +def test_unknown_name_is_rejected(): + ctx = _context(_rows(("Research", 1))) + with pytest.raises(ToolError): + asyncio.run(ctx.resolve("Nope")) + + +def test_default_auto_selects_single_workspace(): + ctx = _context(_rows(("Only", 7))) + assert asyncio.run(ctx.resolve(None)).id == 7 + + +def test_default_with_multiple_requires_a_choice(): + ctx = _context(_rows(("A", 1), ("B", 2))) + with pytest.raises(ToolError): + asyncio.run(ctx.resolve(None)) + + +def test_default_with_no_workspaces_is_rejected(): + ctx = _context([]) + with pytest.raises(ToolError): + asyncio.run(ctx.resolve(None)) + + +def test_default_uses_preferred_reference(): + ctx = _context(_rows(("A", 1), ("Research", 2)), preferred="Research") + assert asyncio.run(ctx.resolve(None)).id == 2 + + +def test_resolution_is_remembered_as_active(): + ctx = _context(_rows(("A", 1), ("B", 2))) + asyncio.run(ctx.resolve("B")) + assert ctx.active is not None and ctx.active.id == 2 + # a later default call reuses the active selection without re-choosing + assert asyncio.run(ctx.resolve(None)).id == 2 diff --git a/surfsense_mcp/uv.lock b/surfsense_mcp/uv.lock new file mode 100644 index 000000000..bc97a9b2a --- /dev/null +++ b/surfsense_mcp/uv.lock @@ -0,0 +1,769 @@ +version = 1 +revision = 3 +requires-python = ">=3.11" +resolution-markers = [ + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform != 'win32'", + 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SurfSense Cloud, or your self-hosted URL | | API token | Create a personal access token from the *Connectors → Obsidian* dialog or *User settings → API access* in the SurfSense web app | -| Search space | Pick the search space this vault should sync into | +| Search space | Pick the workspace this vault should sync into | | Vault name | Defaults to your Obsidian vault name; rename if you have multiple vaults | | Sync mode | *Auto* (recommended) or *Manual* | | Exclude patterns | Glob patterns of folders/files to skip (e.g. `.trash`, `_attachments`, `templates/**`) | @@ -82,7 +82,7 @@ addendum. - `vault_id`: a random UUID minted in the plugin's `data.json` on first run - `vault_name`: the Obsidian vault folder name -- `search_space_id`: the SurfSense search space you picked +- `workspace_id`: the SurfSense workspace you picked **Sent per note on `/sync`, `/rename`, `/delete`:** diff --git a/surfsense_obsidian/pnpm-lock.yaml b/surfsense_obsidian/pnpm-lock.yaml new file mode 100644 index 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1.1.15 + + typed-array-byte-offset@1.0.4: + dependencies: + available-typed-arrays: 1.0.7 + call-bind: 1.0.9 + for-each: 0.3.5 + gopd: 1.2.0 + has-proto: 1.2.0 + is-typed-array: 1.1.15 + reflect.getprototypeof: 1.0.10 + + typed-array-length@1.0.8: + dependencies: + call-bind: 1.0.9 + for-each: 0.3.5 + gopd: 1.2.0 + is-typed-array: 1.1.15 + possible-typed-array-names: 1.1.0 + reflect.getprototypeof: 1.0.10 + + typescript-eslint@8.35.1(eslint@9.39.4(jiti@2.6.1))(typescript@5.9.3): + dependencies: + '@typescript-eslint/eslint-plugin': 8.35.1(@typescript-eslint/parser@8.35.1(eslint@9.39.4(jiti@2.6.1))(typescript@5.9.3))(eslint@9.39.4(jiti@2.6.1))(typescript@5.9.3) + '@typescript-eslint/parser': 8.35.1(eslint@9.39.4(jiti@2.6.1))(typescript@5.9.3) + '@typescript-eslint/utils': 8.35.1(eslint@9.39.4(jiti@2.6.1))(typescript@5.9.3) + eslint: 9.39.4(jiti@2.6.1) + typescript: 5.9.3 + transitivePeerDependencies: + - supports-color + + typescript@5.4.5: {} + + typescript@5.9.3: {} + + unbox-primitive@1.1.0: + dependencies: + call-bound: 1.0.4 + has-bigints: 1.1.0 + has-symbols: 1.1.0 + which-boxed-primitive: 1.1.1 + + undici-types@5.26.5: {} + + undici-types@6.21.0: {} + + uri-js@4.4.1: + dependencies: + punycode: 2.3.1 + + w3c-keyname@2.2.8: {} + + which-boxed-primitive@1.1.1: + dependencies: + is-bigint: 1.1.0 + is-boolean-object: 1.2.2 + is-number-object: 1.1.1 + is-string: 1.1.1 + is-symbol: 1.1.1 + + which-builtin-type@1.2.1: + dependencies: + call-bound: 1.0.4 + function.prototype.name: 1.2.0 + has-tostringtag: 1.0.2 + is-async-function: 2.1.1 + is-date-object: 1.1.0 + is-finalizationregistry: 1.1.1 + is-generator-function: 1.1.2 + is-regex: 1.2.1 + is-weakref: 1.1.1 + isarray: 2.0.5 + which-boxed-primitive: 1.1.1 + which-collection: 1.0.2 + which-typed-array: 1.1.22 + + which-collection@1.0.2: + dependencies: + is-map: 2.0.3 + is-set: 2.0.3 + is-weakmap: 2.0.2 + is-weakset: 2.0.4 + + which-typed-array@1.1.22: + dependencies: + available-typed-arrays: 1.0.7 + call-bind: 1.0.9 + call-bound: 1.0.4 + for-each: 0.3.5 + get-proto: 1.0.1 + gopd: 1.2.0 + has-tostringtag: 1.0.2 + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + word-wrap@1.2.5: {} + + yaml-eslint-parser@1.3.2: + dependencies: + eslint-visitor-keys: 3.4.3 + yaml: 2.9.0 + + yaml@2.9.0: {} + + yocto-queue@0.1.0: {} diff --git a/surfsense_obsidian/pnpm-workspace.yaml b/surfsense_obsidian/pnpm-workspace.yaml new file mode 100644 index 000000000..00f6fc470 --- /dev/null +++ b/surfsense_obsidian/pnpm-workspace.yaml @@ -0,0 +1,2 @@ +allowBuilds: + esbuild: set this to true or false diff --git a/surfsense_obsidian/src/api-client.ts b/surfsense_obsidian/src/api-client.ts index 114e531f7..b66373f02 100644 --- a/surfsense_obsidian/src/api-client.ts +++ b/surfsense_obsidian/src/api-client.ts @@ -7,7 +7,7 @@ import type { NotePayload, RenameAck, RenameItem, - SearchSpace, + Workspace, SyncAck, } from "./types"; @@ -94,14 +94,14 @@ export class SurfSenseApiClient { return await this.request("GET", "/api/v1/obsidian/health"); } - async listSearchSpaces(): Promise { - const resp = await this.request( + async listWorkspaces(): Promise { + const resp = await this.request( "GET", - "/api/v1/searchspaces/" + "/api/v1/workspaces/" ); if (Array.isArray(resp)) return resp; - if (resp && Array.isArray((resp as { items?: SearchSpace[] }).items)) { - return (resp as { items: SearchSpace[] }).items; + if (resp && Array.isArray((resp as { items?: Workspace[] }).items)) { + return (resp as { items: Workspace[] }).items; } return []; } @@ -114,7 +114,7 @@ export class SurfSenseApiClient { } async connect(input: { - searchSpaceId: number; + workspaceId: number; vaultId: string; vaultName: string; vaultFingerprint: string; @@ -125,7 +125,7 @@ export class SurfSenseApiClient { { vault_id: input.vaultId, vault_name: input.vaultName, - search_space_id: input.searchSpaceId, + workspace_id: input.workspaceId, vault_fingerprint: input.vaultFingerprint, } ); diff --git a/surfsense_obsidian/src/main.ts b/surfsense_obsidian/src/main.ts index 6600b7145..ca5de7206 100644 --- a/surfsense_obsidian/src/main.ts +++ b/surfsense_obsidian/src/main.ts @@ -119,7 +119,7 @@ export default class SurfSensePlugin extends Plugin { name: "Sync current note", checkCallback: (checking) => { const file = this.app.workspace.getActiveFile(); - if (!file || file.extension.toLowerCase() !== "md") return false; + if (file?.extension.toLowerCase() !== "md") return false; if (checking) return true; this.queue.enqueueUpsert(file.path); void this.engine.flushQueue(); @@ -186,7 +186,7 @@ export default class SurfSensePlugin extends Plugin { if (!changed) return; this.engine?.refreshStatus(); this.notifyStatusChange(); - if (this.settings.searchSpaceId !== null) { + if (this.settings.workspaceId !== null) { void this.engine.ensureConnected(); } } @@ -252,16 +252,24 @@ export default class SurfSensePlugin extends Plugin { } async loadSettings() { - const data = (await this.loadData()) as Partial | null; + // One-time migration: the workspace was previously persisted as `searchSpaceId`. + // Destructure it out so the migrated value moves into `workspaceId` and the + // dead key is not spread back in / re-persisted. + const data = (await this.loadData()) as + | (Partial & { searchSpaceId?: number | null }) + | null; + const { searchSpaceId: legacyWorkspaceId, ...persisted } = data ?? {}; this.settings = { ...DEFAULT_SETTINGS, - ...(data ?? {}), - queue: (data?.queue ?? []).map((i: QueueItem) => ({ ...i })), - tombstones: { ...(data?.tombstones ?? {}) }, - includeFolders: [...(data?.includeFolders ?? [])], - excludeFolders: [...(data?.excludeFolders ?? [])], - excludePatterns: data?.excludePatterns?.length - ? [...data.excludePatterns] + ...persisted, + workspaceId: + persisted.workspaceId ?? legacyWorkspaceId ?? DEFAULT_SETTINGS.workspaceId, + queue: (persisted.queue ?? []).map((i: QueueItem) => ({ ...i })), + tombstones: { ...(persisted.tombstones ?? {}) }, + includeFolders: [...(persisted.includeFolders ?? [])], + excludeFolders: [...(persisted.excludeFolders ?? [])], + excludePatterns: persisted.excludePatterns?.length + ? [...persisted.excludePatterns] : [...DEFAULT_SETTINGS.excludePatterns], }; } diff --git a/surfsense_obsidian/src/settings.ts b/surfsense_obsidian/src/settings.ts index 7f404fc97..79e5762a9 100644 --- a/surfsense_obsidian/src/settings.ts +++ b/surfsense_obsidian/src/settings.ts @@ -13,13 +13,13 @@ import { normalizeFolder, parseExcludePatterns } from "./excludes"; import { FolderSuggestModal } from "./folder-suggest-modal"; import type SurfSensePlugin from "./main"; import { STATUS_VISUALS } from "./status-visuals"; -import type { SearchSpace } from "./types"; +import type { Workspace } from "./types"; /** Plugin settings tab. */ export class SurfSenseSettingTab extends PluginSettingTab { private readonly plugin: SurfSensePlugin; - private searchSpaces: SearchSpace[] = []; + private workspaces: Workspace[] = []; private loadingSpaces = false; private connectionIndicator: HTMLElement | null = null; private readonly onStatusChange = (): void => this.updateConnectionIndicator(); @@ -51,7 +51,7 @@ export class SurfSenseSettingTab extends PluginSettingTab { const next = value.trim(); const previous = this.plugin.settings.serverUrl; if (previous !== "" && next !== previous) { - this.plugin.settings.searchSpaceId = null; + this.plugin.settings.workspaceId = null; this.plugin.settings.connectorId = null; } this.plugin.settings.serverUrl = next; @@ -80,7 +80,7 @@ export class SurfSenseSettingTab extends PluginSettingTab { const next = value.trim(); const previous = this.plugin.settings.apiToken; if (previous !== "" && next !== previous) { - this.plugin.settings.searchSpaceId = null; + this.plugin.settings.workspaceId = null; this.plugin.settings.connectorId = null; } this.plugin.settings.apiToken = next; @@ -102,7 +102,7 @@ export class SurfSenseSettingTab extends PluginSettingTab { await this.plugin.api.verifyToken(); new Notice("Surfsense: token verified."); this.plugin.engine.refreshStatus({ force: true }); - await this.refreshSearchSpaces(); + await this.refreshWorkspaces(); this.display(); } catch (err) { this.handleApiError(err); @@ -115,21 +115,21 @@ export class SurfSenseSettingTab extends PluginSettingTab { new Setting(containerEl) .setName("Search space") .setDesc( - "Which Surfsense search space this vault syncs into. Reload after changing your token.", + "Which Surfsense workspace this vault syncs into. Reload after changing your token.", ) .addDropdown((drop) => { - drop.addOption("", this.loadingSpaces ? "Loading…" : "Select a search space"); - for (const space of this.searchSpaces) { + drop.addOption("", this.loadingSpaces ? "Loading…" : "Select a workspace"); + for (const space of this.workspaces) { drop.addOption(String(space.id), space.name); } - if (settings.searchSpaceId !== null) { - drop.setValue(String(settings.searchSpaceId)); + if (settings.workspaceId !== null) { + drop.setValue(String(settings.workspaceId)); } drop.onChange(async (value) => { - this.plugin.settings.searchSpaceId = value ? Number(value) : null; + this.plugin.settings.workspaceId = value ? Number(value) : null; this.plugin.settings.connectorId = null; await this.plugin.saveSettings(); - if (this.plugin.settings.searchSpaceId !== null) { + if (this.plugin.settings.workspaceId !== null) { try { await this.plugin.engine.ensureConnected(); await this.plugin.engine.maybeReconcile(true); @@ -144,9 +144,9 @@ export class SurfSenseSettingTab extends PluginSettingTab { .addExtraButton((btn) => btn .setIcon("refresh-ccw") - .setTooltip("Reload search spaces") + .setTooltip("Reload workspaces") .onClick(async () => { - await this.refreshSearchSpaces(); + await this.refreshWorkspaces(); this.display(); }), ); @@ -319,13 +319,13 @@ export class SurfSenseSettingTab extends PluginSettingTab { indicator.setAttr("title", visual.label); } - private async refreshSearchSpaces(): Promise { + private async refreshWorkspaces(): Promise { this.loadingSpaces = true; try { - this.searchSpaces = await this.plugin.api.listSearchSpaces(); + this.workspaces = await this.plugin.api.listWorkspaces(); } catch (err) { this.handleApiError(err); - this.searchSpaces = []; + this.workspaces = []; } finally { this.loadingSpaces = false; } diff --git a/surfsense_obsidian/src/sync-engine.ts b/surfsense_obsidian/src/sync-engine.ts index 80594dd9e..921067a37 100644 --- a/surfsense_obsidian/src/sync-engine.ts +++ b/surfsense_obsidian/src/sync-engine.ts @@ -48,7 +48,7 @@ export interface SyncEngineSettings { vaultId: string; apiToken: string; connectorId: number | null; - searchSpaceId: number | null; + workspaceId: number | null; includeFolders: string[]; excludeFolders: string[]; excludePatterns: string[]; @@ -96,7 +96,7 @@ export class SyncEngine { this.setStatus("syncing", "Connecting to SurfSense…"); const settings = this.deps.getSettings(); - if (!settings.searchSpaceId) { + if (!settings.workspaceId) { // No target yet — /health still surfaces auth/network errors. try { const health = await this.deps.apiClient.health(); @@ -124,7 +124,7 @@ export class SyncEngine { */ async ensureConnected(): Promise { const settings = this.deps.getSettings(); - if (!settings.searchSpaceId) { + if (!settings.workspaceId) { this.setStatus("idle"); return false; } @@ -132,7 +132,7 @@ export class SyncEngine { try { const fingerprint = await computeVaultFingerprint(this.deps.app); const resp = await this.deps.apiClient.connect({ - searchSpaceId: settings.searchSpaceId, + workspaceId: settings.workspaceId, vaultId: settings.vaultId, vaultName: this.deps.app.vault.getName(), vaultFingerprint: fingerprint, @@ -272,7 +272,7 @@ export class SyncEngine { this.refreshStatus({ force: true }); return; } - if (!settings.searchSpaceId) { + if (!settings.workspaceId) { try { const health = await this.deps.apiClient.health(); this.applyHealth(health); @@ -543,7 +543,7 @@ export class SyncEngine { const isError = last === "auth-error" || last === "offline" || last === "error"; const s = this.deps.getSettings(); - const setupComplete = !!(s.apiToken && s.searchSpaceId && s.connectorId); + const setupComplete = !!(s.apiToken && s.workspaceId && s.connectorId); if (isError && setupComplete) return; } this.setStatus(this.queueStatusKind(), this.statusDetail()); @@ -571,7 +571,7 @@ export class SyncEngine { kind = "needs-setup"; detail = this.setupHint(s); } else if (kind !== "auth-error" && kind !== "offline" && kind !== "error") { - if (!s.searchSpaceId || !s.connectorId) { + if (!s.workspaceId || !s.connectorId) { kind = "needs-setup"; detail = this.setupHint(s); } @@ -582,7 +582,7 @@ export class SyncEngine { private setupHint(s: SyncEngineSettings): string { if (!s.apiToken) return "Paste your API token in settings."; - if (!s.searchSpaceId) return "Pick a search space in settings."; + if (!s.workspaceId) return "Pick a workspace in settings."; return "Connecting…"; } diff --git a/surfsense_obsidian/src/types.ts b/surfsense_obsidian/src/types.ts index 192d34dc8..cfa9fbb74 100644 --- a/surfsense_obsidian/src/types.ts +++ b/surfsense_obsidian/src/types.ts @@ -3,7 +3,7 @@ export interface SurfsensePluginSettings { serverUrl: string; apiToken: string; - searchSpaceId: number | null; + workspaceId: number | null; connectorId: number | null; /** UUID for the vault — lives here so Obsidian Sync replicates it across devices. */ vaultId: string; @@ -25,7 +25,7 @@ export interface SurfsensePluginSettings { export const DEFAULT_SETTINGS: SurfsensePluginSettings = { serverUrl: "https://surfsense.com", apiToken: "", - searchSpaceId: null, + workspaceId: null, connectorId: null, vaultId: "", syncIntervalMinutes: 10, @@ -107,7 +107,7 @@ export interface HeadingRef { level: number; } -export interface SearchSpace { +export interface Workspace { id: number; name: string; description?: string; @@ -117,7 +117,7 @@ export interface SearchSpace { export interface ConnectResponse { connector_id: number; vault_id: string; - search_space_id: number; + workspace_id: number; capabilities: string[]; server_time_utc: string; [key: string]: unknown; diff --git a/surfsense_web/app/(home)/[slug]/page.tsx b/surfsense_web/app/(home)/[slug]/page.tsx new file mode 100644 index 000000000..94a7912f7 --- /dev/null +++ b/surfsense_web/app/(home)/[slug]/page.tsx @@ -0,0 +1,94 @@ +import type { Metadata } from "next"; +import { notFound } from "next/navigation"; +import { ConnectorPage } from "@/components/connectors-marketing/connector-page"; +import { FAQJsonLd, JsonLd } from "@/components/seo/json-ld"; +import { getAllConnectorSlugs, getConnector } from "@/lib/connectors-marketing"; + +interface PageProps { + params: Promise<{ slug: string }>; +} + +// Only the known connector slugs are served; every other path falls through to 404. +export const dynamicParams = false; + +export function generateStaticParams() { + return getAllConnectorSlugs().map((slug) => ({ slug })); +} + +export async function generateMetadata({ params }: PageProps): Promise { + const { slug } = await params; + const content = getConnector(slug); + if (!content) return { title: "Connector Not Found | SurfSense" }; + + const canonicalUrl = `https://www.surfsense.com/${content.slug}`; + + return { + title: content.metaTitle, + description: content.metaDescription, + keywords: content.keywords, + alternates: { canonical: canonicalUrl }, + openGraph: { + title: content.metaTitle, + description: content.metaDescription, + url: canonicalUrl, + siteName: "SurfSense", + type: "website", + images: [ + { + url: "/og-image.png", + width: 1200, + height: 630, + alt: `${content.name} Scraper API on SurfSense`, + }, + ], + }, + twitter: { + card: "summary_large_image", + title: content.metaTitle, + description: content.metaDescription, + images: ["/og-image.png"], + }, + }; +} + +export default async function ConnectorMarketingPage({ params }: PageProps) { + const { slug } = await params; + const content = getConnector(slug); + if (!content) notFound(); + + const canonicalUrl = `https://www.surfsense.com/${content.slug}`; + + return ( + <> + + + + + ); +} diff --git a/surfsense_web/app/(home)/connectors/page.tsx b/surfsense_web/app/(home)/connectors/page.tsx new file mode 100644 index 000000000..af6838337 --- /dev/null +++ b/surfsense_web/app/(home)/connectors/page.tsx @@ -0,0 +1,117 @@ +import { ArrowRight, Plug, Server } from "lucide-react"; +import type { Metadata } from "next"; +import Link from "next/link"; +import { getAllConnectors } from "@/lib/connectors-marketing"; + +const canonicalUrl = "https://www.surfsense.com/connectors"; + +const metaDescription = + "Platform-native scraper APIs for AI agents. Pull live data from the platforms your market uses through one typed API or the SurfSense MCP server. Explore every connector."; + +export const metadata: Metadata = { + title: "Scraper APIs for AI Agents: All Connectors | SurfSense", + description: metaDescription, + keywords: [ + "scraper api", + "web scraping api", + "scraper api for ai agents", + "data connectors", + "mcp server", + "competitive intelligence platform", + ], + alternates: { canonical: canonicalUrl }, + openGraph: { + title: "Scraper APIs for AI Agents: All Connectors | SurfSense", + description: metaDescription, + url: canonicalUrl, + siteName: "SurfSense", + type: "website", + images: [{ url: "/og-image.png", width: 1200, height: 630, alt: "SurfSense connectors" }], + }, +}; + +export default function ConnectorsIndexPage() { + const connectors = getAllConnectors(); + + return ( +
+
+
+

+ Connectors for every platform your market uses +

+

+ Each connector is a platform-native scraper API your AI agents can call directly, or + through the SurfSense MCP server. They are the live data behind the SurfSense{" "} + + competitive intelligence platform + + . +

+
+ +
+ {connectors.map((connector) => { + const Icon = connector.icon; + return ( + + + + +

+ {connector.cardTitle ?? `${connector.name} API`} +

+

+ {connector.heroLede} +

+ + Explore + + + + ); + })} + {/* Bespoke pages (not in the scrape-API registry): the two MCP directions. */} + + + + +

SurfSense MCP Server

+

+ Give Claude, Cursor, or any MCP client native tools for your workspace: every scraper + API plus knowledge base search, reads, and writes. One API key. +

+ + Explore + + + + + + + +

External MCP Connectors

+

+ Bring any MCP server to your agents. Paste a config like you would in Cursor, tools + are auto-discovered, and Notion, Slack, Jira, and more connect with one-click OAuth. +

+ + Explore + + + +
+
+
+ ); +} diff --git a/surfsense_web/app/(home)/external-mcp-connectors/page.tsx b/surfsense_web/app/(home)/external-mcp-connectors/page.tsx new file mode 100644 index 000000000..f90a4ef99 --- /dev/null +++ b/surfsense_web/app/(home)/external-mcp-connectors/page.tsx @@ -0,0 +1,380 @@ +import { IconBrandGithub } from "@tabler/icons-react"; +import { ArrowRight, Check, Plug, ShieldCheck, Wrench } from "lucide-react"; +import type { Metadata } from "next"; +import Link from "next/link"; +import { ConnectorFaq } from "@/components/connectors-marketing/connector-faq"; +import { Reveal } from "@/components/connectors-marketing/reveal"; +import { MarketingSection } from "@/components/marketing/section"; +import { BreadcrumbNav } from "@/components/seo/breadcrumb-nav"; +import { FAQJsonLd, JsonLd } from "@/components/seo/json-ld"; +import { Badge } from "@/components/ui/badge"; +import { Button } from "@/components/ui/button"; +import { Separator } from "@/components/ui/separator"; +import type { FaqItem } from "@/lib/connectors-marketing/types"; + +const canonicalUrl = "https://www.surfsense.com/external-mcp-connectors"; + +const metaDescription = + "External MCP connectors let your SurfSense agents use any MCP server. Paste a config, tools are auto-discovered, and every call runs with per-tool approval. Try it free."; + +export const metadata: Metadata = { + title: "External MCP Connectors: Add Any MCP Server | SurfSense", + description: metaDescription, + keywords: [ + "mcp connector", + "external mcp connectors", + "what is an mcp connector", + "mcp client", + "add mcp server", + "connect mcp server", + "mcp integrations", + ], + alternates: { canonical: canonicalUrl }, + openGraph: { + title: "External MCP Connectors: Add Any MCP Server | SurfSense", + description: metaDescription, + url: canonicalUrl, + siteName: "SurfSense", + type: "website", + images: [ + { url: "/og-image.png", width: 1200, height: 630, alt: "SurfSense external MCP connectors" }, + ], + }, + twitter: { + card: "summary_large_image", + title: "External MCP Connectors: Add Any MCP Server | SurfSense", + description: metaDescription, + images: ["/og-image.png"], + }, +}; + +/* Mirrors the real server_config contract (stdio + HTTP transports). */ +const STDIO_CONFIG = `{ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", "/data"], + "env": { "LOG_LEVEL": "info" }, + "transport": "stdio" +}`; + +const HTTP_CONFIG = `{ + "url": "https://mcp.example.com/mcp", + "headers": { "Authorization": "Bearer " }, + "transport": "streamable-http" +}`; + +const STEPS = [ + { + icon: Plug, + title: "Paste a server config", + description: + "Add any MCP server the same way you would in Cursor: a local command for stdio servers, or a URL and headers for remote HTTP and SSE servers.", + }, + { + icon: Wrench, + title: "Tools are auto-discovered", + description: + "SurfSense tests the connection and pulls the full tool list from the server. No manual tool configuration, no schema files to maintain.", + }, + { + icon: ShieldCheck, + title: "Your agent uses them, safely", + description: + "Read-only tools run automatically. Anything that writes asks for your approval first, and you can trust a tool once to always allow it.", + }, +] as const; + +/** Hosted MCP apps with one-click OAuth (mirrors the backend MCP service registry). */ +const ONE_CLICK_APPS = [ + "Notion", + "Slack", + "Jira", + "Confluence", + "Linear", + "ClickUp", + "Airtable", +] as const; + +const FAQ: FaqItem[] = [ + { + question: "What is an external MCP connector?", + answer: + "An external MCP connector links SurfSense to an outside MCP (Model Context Protocol) server, so your agents can call that server's tools. You add a server config once, its tools are auto-discovered, and every agent in your workspace can use them with per-tool approval.", + }, + { + question: "How is this different from the SurfSense MCP server?", + answer: + "Direction. External MCP connectors make SurfSense the client: outside tools flow into your SurfSense agents. The SurfSense MCP server is the reverse: it exposes your workspace and the scraper APIs as tools inside Claude, Cursor, or any MCP client you already run.", + }, + { + question: "Which MCP transports are supported?", + answer: + "All the common ones. Local stdio servers run as a process with a command, args, and environment variables. Remote servers connect over streamable HTTP, plain HTTP, or SSE with a URL and optional headers, which covers hosted MCP servers that require an auth token.", + }, + { + question: "Is it safe to give an agent MCP tools?", + answer: + "Every MCP tool runs through SurfSense's permission layer. Read-only tools are allowed automatically, while any tool that can write or act asks for your approval before it executes. You can mark tools you rely on as trusted so they skip the prompt on later calls.", + }, + { + question: "Can I connect Notion or Slack without writing a config?", + answer: + "Yes. Notion, Slack, Jira, Confluence, Linear, ClickUp, and Airtable connect through their official hosted MCP servers with one-click OAuth. SurfSense handles the token exchange and curates each app's tool list, so you sign in once and your agents can use them immediately.", + }, +]; + +function ConfigCard() { + return ( +
+

Local server (stdio)

+
+				{STDIO_CONFIG}
+			
+

Remote server (HTTP / SSE)

+
+				{HTTP_CONFIG}
+			
+

+ + Tools auto-discovered on connect +

+
+ ); +} + +export default function ExternalMcpConnectorsPage() { + return ( + <> + + + +
+ {/* Hero */} + +
+
+ + + + External MCP connectors + +

+ Bring any external MCP server to your agents +

+

+ External MCP connectors turn your SurfSense workspace into an MCP client. Add any + MCP server with the same config you'd use in Cursor, and its tools are + auto-discovered and handed to your agents, guarded by per-tool approval. Notion, + Slack, Jira, and more connect with one-click OAuth. +

+
+ + + +
+
+ +
+
+ + {/* How it works */} + + +

+ From config to agent tool in three steps +

+
+
+ {STEPS.map((step) => ( + +
+ + + +

{step.title}

+

+ {step.description} +

+
+
+ ))} +
+
+ + {/* One-click apps */} + + +

+ Your work apps, no config required +

+

+ These apps run on their official hosted MCP servers. Sign in once with OAuth and + SurfSense manages the tokens and curates each tool list, so your agents can search + Notion, read Slack threads, or file Jira issues alongside your market intelligence. +

+
+ +
+ {ONE_CLICK_APPS.map((app) => ( + + + {app} + + ))} +
+
+
+ + {/* Connector vs server */} + + +

+ External MCP connectors vs the SurfSense MCP server +

+

+ They are two sides of the same protocol. The external MCP connectors on this page make + SurfSense a client: they consume tools from outside MCP servers. The{" "} + + SurfSense MCP server + {" "} + does the reverse, exposing your workspace and scraper APIs like{" "} + + Reddit + {" "} + and{" "} + + Google Maps + {" "} + as native tools inside Claude, Cursor, or any agent you already run. Use both and data + flows in either direction. +

+
+
+ + {/* FAQ */} + + +

+ External MCP connectors: frequently asked questions +

+
+ +
+ +
+
+
+ + {/* Closing CTA + related */} + + +
+

+ Give your agents every tool they need +

+

+ External MCP connectors are part of the SurfSense{" "} + + competitive intelligence platform + + . Start free, no credit card required. +

+
+ + +
+ + + + +
+
+
+
+ + ); +} diff --git a/surfsense_web/app/(home)/mcp-server/page.tsx b/surfsense_web/app/(home)/mcp-server/page.tsx new file mode 100644 index 000000000..6dfc69622 --- /dev/null +++ b/surfsense_web/app/(home)/mcp-server/page.tsx @@ -0,0 +1,420 @@ +import { IconBrandGithub } from "@tabler/icons-react"; +import { ArrowRight, Check, Database, KeyRound, Server, TerminalSquare } from "lucide-react"; +import type { Metadata } from "next"; +import Link from "next/link"; +import { ConnectorFaq } from "@/components/connectors-marketing/connector-faq"; +import { Reveal } from "@/components/connectors-marketing/reveal"; +import { MarketingSection } from "@/components/marketing/section"; +import { AgentSetupTabs } from "@/components/mcp/agent-setup-tabs"; +import { BreadcrumbNav } from "@/components/seo/breadcrumb-nav"; +import { FAQJsonLd, JsonLd } from "@/components/seo/json-ld"; +import { Badge } from "@/components/ui/badge"; +import { Button } from "@/components/ui/button"; +import { Separator } from "@/components/ui/separator"; +import type { FaqItem } from "@/lib/connectors-marketing/types"; + +const canonicalUrl = "https://www.surfsense.com/mcp-server"; + +const metaDescription = + "The SurfSense MCP server gives Claude, Cursor, and any MCP client native tools for your workspace: scrape Reddit, YouTube, Google Maps, Google Search, and the web, plus full knowledge base access. One API key."; + +export const metadata: Metadata = { + title: "SurfSense MCP Server: Scraper APIs and Knowledge Base as Agent Tools", + description: metaDescription, + keywords: [ + "surfsense mcp server", + "mcp server", + "mcp server for web scraping", + "reddit mcp server", + "youtube mcp server", + "google maps mcp server", + "serp mcp server", + "mcp server for claude", + "mcp server for cursor", + "knowledge base mcp server", + ], + alternates: { canonical: canonicalUrl }, + openGraph: { + title: "SurfSense MCP Server: Scraper APIs and Knowledge Base as Agent Tools", + description: metaDescription, + url: canonicalUrl, + siteName: "SurfSense", + type: "website", + images: [{ url: "/og-image.png", width: 1200, height: 630, alt: "SurfSense MCP server" }], + }, + twitter: { + card: "summary_large_image", + title: "SurfSense MCP Server: Scraper APIs and Knowledge Base as Agent Tools", + description: metaDescription, + images: ["/og-image.png"], + }, +}; + +/* Mirrors surfsense_mcp/README.md: the real Cursor config. */ +const CURSOR_CONFIG = `{ + "mcpServers": { + "surfsense": { + "command": "uv", + "args": ["run", "--directory", ".../surfsense_mcp", + "python", "-m", "surfsense_mcp"], + "env": { + "SURFSENSE_BASE_URL": "https://api.surfsense.com", + "SURFSENSE_API_KEY": "ss_pat_..." + } + } + } +}`; + +const STEPS = [ + { + icon: KeyRound, + title: "Create an API key", + description: + "In SurfSense, go to Settings, then API, and create a key. Enable API access on the workspaces you want your agents to reach. That key is all the server needs.", + }, + { + icon: TerminalSquare, + title: "Add the server to your client", + description: + "Drop the config into Cursor's mcp.json, run claude mcp add for Claude Code, or paste it into Claude Desktop. Point it at the cloud or your own self-hosted instance.", + }, + { + icon: Server, + title: "Your agent has the tools", + description: + "Every scraper and knowledge base operation shows up as a native, typed MCP tool. Your agent picks a workspace once and the server carries the context between calls.", + }, +] as const; + +/** Mirrors the tool registry in surfsense_mcp (see its README). */ +const TOOL_GROUPS = [ + { + icon: Server, + title: "Live scrapers", + description: "Structured, current platform data. One returned item is one billable unit.", + tools: [ + "surfsense_reddit_scrape", + "surfsense_youtube_scrape", + "surfsense_youtube_comments", + "surfsense_google_maps_scrape", + "surfsense_google_maps_reviews", + "surfsense_google_search", + "surfsense_web_crawl", + "surfsense_list_scraper_runs", + "surfsense_get_scraper_run", + ], + }, + { + icon: Database, + title: "Knowledge base", + description: "Read and write the same knowledge base your SurfSense agents use.", + tools: [ + "surfsense_search_knowledge_base", + "surfsense_list_documents", + "surfsense_get_document", + "surfsense_add_document", + "surfsense_upload_file", + "surfsense_update_document", + "surfsense_delete_document", + ], + }, + { + icon: KeyRound, + title: "Workspace selector", + description: "Pick a workspace once; every later call defaults to it.", + tools: ["surfsense_list_workspaces", "surfsense_select_workspace"], + }, +] as const; + +const FAQ: FaqItem[] = [ + { + question: "What is the SurfSense MCP server?", + answer: + "It is a Model Context Protocol server that exposes your SurfSense workspace to MCP clients like Claude Code, Cursor, and Claude Desktop. Your agents get native tools for every scraper API (Reddit, YouTube, Google Maps, Google Search, web crawl) and for searching, reading, and writing your knowledge base.", + }, + { + question: "Which MCP clients does it work with?", + answer: + "Any MCP client that supports stdio servers. Claude Code, Codex, OpenCode, Cursor, Claude Desktop, VS Code, Windsurf, and Gemini CLI are documented with copy-paste configs on this page, and the same command works in custom agent harnesses built on the MCP SDK.", + }, + { + question: "How is usage billed?", + answer: + "Exactly like the REST API, because the server is a thin layer over it. Scraper tools consume the same pay-as-you-go credits, priced per returned item, and knowledge base operations work within your plan. New accounts start with $5 of free credit.", + }, + { + question: "Does it work with a self-hosted SurfSense?", + answer: + "Yes. The server talks to SurfSense purely over its REST API and imports no backend code, so pointing SURFSENSE_BASE_URL at your own instance is all it takes. It works with the cloud at api.surfsense.com the same way.", + }, + { + question: "How does the agent know which workspace to use?", + answer: + "The server ships a workspace selector: the agent lists the workspaces your API key can access, selects one by name, and every later call defaults to it. Any tool also accepts a workspace override for a single call, and ids never need to be typed by hand.", + }, +]; + +function ConfigCard() { + return ( +
+

.cursor/mcp.json

+
+				{CURSOR_CONFIG}
+			
+

+ + Works with Claude Code, Cursor, Claude Desktop, and any MCP client +

+
+ ); +} + +export default function McpServerPage() { + return ( + <> + + + +
+ {/* Hero */} + +
+
+ + + + SurfSense MCP server + +

+ Give your agents SurfSense as native tools +

+

+ The SurfSense MCP server hands Claude, Cursor, or any MCP client the whole platform: + scrape Reddit, YouTube, Google Maps, Google Search, and the open web, and search, + read, and write your knowledge base. One API key, typed tools, pay as you go. +

+
+ + + +
+
+ +
+
+ + {/* How it works */} + + +

+ From API key to agent tools in three steps +

+
+
+ {STEPS.map((step) => ( + +
+ + + +

{step.title}

+

+ {step.description} +

+
+
+ ))} +
+
+ + {/* Per-agent setup */} + + +

+ Step-by-step setup for every agent +

+

+ Pick your client, follow its two steps, and paste the config. Replace the placeholder + path with your surfsense_mcp checkout and the key with one from API Playground → API + Keys — or grab a pre-filled config from the playground itself. +

+
+ +
+ +
+
+
+ + {/* Tools */} + + +

+ Every tool the server exposes +

+

+ The server is a thin layer over the SurfSense REST API: the same endpoints, the same + billing, no backend code imported. Whatever ships in the API shows up here. +

+
+
+ {TOOL_GROUPS.map((group) => ( + +
+ + + +

{group.title}

+

+ {group.description} +

+
    + {group.tools.map((tool) => ( +
  • + {tool} +
  • + ))} +
+
+
+ ))} +
+
+ + {/* Server vs external connectors */} + + +

+ The SurfSense MCP server vs external MCP connectors +

+

+ They are two sides of the same protocol. The MCP server on this page pushes + SurfSense tools out to agents you already run in Claude, Cursor, or your own harness.{" "} + + External MCP connectors + {" "} + do the reverse: they pull outside tools like Notion, Slack, and Jira into your + SurfSense agents. Use both and data flows in either direction. +

+
+
+ + {/* FAQ */} + + +

+ SurfSense MCP server: frequently asked questions +

+
+ +
+ +
+
+
+ + {/* Closing CTA + related */} + + +
+

+ Put live market data inside your agents +

+

+ The MCP server is part of the SurfSense{" "} + + competitive intelligence platform + + . Start with $5 of free credit, no credit card required. +

+
+ + +
+ + + + +
+
+
+
+ + ); +} diff --git a/surfsense_web/app/(home)/page.tsx b/surfsense_web/app/(home)/page.tsx index 367ef2dc5..825c647c1 100644 --- a/surfsense_web/app/(home)/page.tsx +++ b/surfsense_web/app/(home)/page.tsx @@ -1,29 +1,25 @@ -import dynamic from "next/dynamic"; import { AuthRedirect } from "@/components/homepage/auth-redirect"; -import { FeaturesBentoGrid } from "@/components/homepage/features-bento-grid"; -import { FeaturesCards } from "@/components/homepage/features-card"; +import { CommunityStrip } from "@/components/homepage/community-strip"; +import { CompareTable } from "@/components/homepage/compare-table"; +import { ConnectorGrid } from "@/components/homepage/connector-grid"; import { HeroSection } from "@/components/homepage/hero-section"; - -const WhySurfSense = dynamic(() => - import("@/components/homepage/why-surfsense").then((m) => ({ default: m.WhySurfSense })) -); - -const ExternalIntegrations = dynamic(() => import("@/components/homepage/integrations")); - -const CTAHomepage = dynamic(() => - import("@/components/homepage/cta").then((m) => ({ default: m.CTAHomepage })) -); +import { HomeFaq } from "@/components/homepage/home-faq"; +import { HowItWorks } from "@/components/homepage/how-it-works"; +import { PersonaPaths } from "@/components/homepage/persona-paths"; +import { UseCasesRow } from "@/components/homepage/use-cases"; export default function HomePage() { return ( -
+
- - - - - + + + + + + +
); } diff --git a/surfsense_web/app/(home)/pricing/page.tsx b/surfsense_web/app/(home)/pricing/page.tsx index 0b45deff4..666cb20d4 100644 --- a/surfsense_web/app/(home)/pricing/page.tsx +++ b/surfsense_web/app/(home)/pricing/page.tsx @@ -1,18 +1,74 @@ import type { Metadata } from "next"; import PricingBasic from "@/components/pricing/pricing-section"; +import { JsonLd } from "@/components/seo/json-ld"; + +const canonicalUrl = "https://www.surfsense.com/pricing"; + +const metaTitle = "SurfSense Pricing: Self-Host Free or Pay As You Go"; +const metaDescription = + "Self-host SurfSense for free from our open-source repo, or use the cloud with $5 of free credit and pay as you go at provider cost. No subscription."; export const metadata: Metadata = { - title: "Pricing | SurfSense - Free AI Workspace, Automations & Agents", - description: - "Explore SurfSense plans and pricing. Start free with 500 pages & $5 in premium credits. Run AI automations and agents, use ChatGPT, Claude AI, and premium AI models, and pay as you go at provider cost.", + title: metaTitle, + description: metaDescription, + keywords: [ + "surfsense pricing", + "pay as you go ai platform", + "open source ai agent platform", + "self-hosted ai workspace", + "ai automation pricing", + "competitive intelligence pricing", + ], alternates: { - canonical: "https://www.surfsense.com/pricing", + canonical: canonicalUrl, + }, + openGraph: { + title: metaTitle, + description: metaDescription, + url: canonicalUrl, + siteName: "SurfSense", + type: "website", + images: [{ url: "/og-image.png", width: 1200, height: 630, alt: "SurfSense pricing" }], + }, + twitter: { + card: "summary_large_image", + title: metaTitle, + description: metaDescription, + images: ["/og-image.png"], }, }; const page = () => { return (
+
); diff --git a/surfsense_web/app/dashboard/[search_space_id]/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/page.tsx deleted file mode 100644 index 69aa47bc3..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/page.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import { redirect } from "next/navigation"; - -export default async function SearchSpaceDashboardPage({ - params, -}: { - params: Promise<{ search_space_id: string }>; -}) { - const { search_space_id } = await params; - redirect(`/dashboard/${search_space_id}/new-chat`); -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/layout.tsx b/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/layout.tsx deleted file mode 100644 index 330158da7..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/layout.tsx +++ /dev/null @@ -1,19 +0,0 @@ -import type React from "react"; -import { use } from "react"; -import { SearchSpaceSettingsLayoutShell } from "./layout-shell"; - -export default function SearchSpaceSettingsLayout({ - params, - children, -}: { - params: Promise<{ search_space_id: string }>; - children: React.ReactNode; -}) { - const { search_space_id } = use(params); - - return ( - - {children} - - ); -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/page.tsx deleted file mode 100644 index 27c59328b..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/page.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import { redirect } from "next/navigation"; - -export default async function SearchSpaceSettingsPage({ - params, -}: { - params: Promise<{ search_space_id: string }>; -}) { - const { search_space_id } = await params; - redirect(`/dashboard/${search_space_id}/search-space-settings/general`); -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/prompts/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/prompts/page.tsx deleted file mode 100644 index cc837299d..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/prompts/page.tsx +++ /dev/null @@ -1,6 +0,0 @@ -import { PromptConfigManager } from "@/components/settings/prompt-config-manager"; - -export default async function Page({ params }: { params: Promise<{ search_space_id: string }> }) { - const { search_space_id } = await params; - return ; -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/team-roles/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/team-roles/page.tsx deleted file mode 100644 index a343eaacb..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/search-space-settings/team-roles/page.tsx +++ /dev/null @@ -1,6 +0,0 @@ -import { RolesManager } from "@/components/settings/roles-manager"; - -export default async function Page({ params }: { params: Promise<{ search_space_id: string }> }) { - const { search_space_id } = await params; - return ; -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx deleted file mode 100644 index c75eaf4e4..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/team/page.tsx +++ /dev/null @@ -1,15 +0,0 @@ -import { TeamContent } from "./team-content"; - -export default async function TeamPage({ - params, -}: { - params: Promise<{ search_space_id: string }>; -}) { - const { search_space_id } = await params; - - return ( -
- -
- ); -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/user-settings/agent-status/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/user-settings/agent-status/page.tsx deleted file mode 100644 index dc5c61d2a..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/user-settings/agent-status/page.tsx +++ /dev/null @@ -1,5 +0,0 @@ -import { AgentStatusContent } from "../components/AgentStatusContent"; - -export default function Page() { - return ; -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/user-settings/components/AgentStatusContent.tsx b/surfsense_web/app/dashboard/[search_space_id]/user-settings/components/AgentStatusContent.tsx deleted file mode 100644 index bc31dffed..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/user-settings/components/AgentStatusContent.tsx +++ /dev/null @@ -1,321 +0,0 @@ -"use client"; - -import { useAtomValue } from "jotai"; -import { AlertTriangle, CircleCheck, CircleSlash, Info } from "lucide-react"; -import { Fragment, useMemo } from "react"; -import { agentFlagsAtom } from "@/atoms/agent/agent-flags-query.atom"; -import { Alert, AlertDescription, AlertTitle } from "@/components/ui/alert"; -import { Badge } from "@/components/ui/badge"; -import { Separator } from "@/components/ui/separator"; -import { Skeleton } from "@/components/ui/skeleton"; -import type { AgentFeatureFlags } from "@/lib/apis/agent-flags-api.service"; -import { cn } from "@/lib/utils"; - -type FlagKey = keyof AgentFeatureFlags; - -interface FlagDef { - key: FlagKey; - label: string; - description: string; - envVar: string; -} - -interface FlagGroup { - id: string; - title: string; - subtitle: string; - flags: FlagDef[]; -} - -const FLAG_GROUPS: FlagGroup[] = [ - { - id: "tier1", - title: "Tier 1 — Agent quality", - subtitle: "Context editing, retries, fallbacks, doom-loop, tool-call repair.", - flags: [ - { - key: "enable_context_editing", - label: "Context editing", - description: "Trim tool outputs and spill old text into backend storage.", - envVar: "SURFSENSE_ENABLE_CONTEXT_EDITING", - }, - { - key: "enable_compaction_v2", - label: "Compaction v2", - description: "SurfSense-aware compaction replacing safe summarization.", - envVar: "SURFSENSE_ENABLE_COMPACTION_V2", - }, - { - key: "enable_retry_after", - label: "Retry-After", - description: "Honour rate-limit retry-after headers automatically.", - envVar: "SURFSENSE_ENABLE_RETRY_AFTER", - }, - { - key: "enable_model_fallback", - label: "Model fallback", - description: "Fail over to a backup model on persistent errors.", - envVar: "SURFSENSE_ENABLE_MODEL_FALLBACK", - }, - { - key: "enable_model_call_limit", - label: "Model call limit", - description: "Cap total model calls per turn to prevent budget run-aways.", - envVar: "SURFSENSE_ENABLE_MODEL_CALL_LIMIT", - }, - { - key: "enable_tool_call_limit", - label: "Tool call limit", - description: "Cap total tool calls per turn.", - envVar: "SURFSENSE_ENABLE_TOOL_CALL_LIMIT", - }, - { - key: "enable_tool_call_repair", - label: "Tool-call name repair", - description: "Recover from lower-cased / fuzzy tool names emitted by smaller models.", - envVar: "SURFSENSE_ENABLE_TOOL_CALL_REPAIR", - }, - { - key: "enable_doom_loop", - label: "Doom-loop detection", - description: "Detect repeated identical tool calls and ask the user to confirm.", - envVar: "SURFSENSE_ENABLE_DOOM_LOOP", - }, - ], - }, - { - id: "tier2", - title: "Tier 2 — Safety", - subtitle: "Permission rules, busy-mutex, smarter tool selection.", - flags: [ - { - key: "enable_permission", - label: "Permission middleware", - description: "Apply allow/deny/ask rules from the Agent Permissions tab.", - envVar: "SURFSENSE_ENABLE_PERMISSION", - }, - { - key: "enable_busy_mutex", - label: "Busy mutex", - description: "Prevent two concurrent runs from corrupting the same thread.", - envVar: "SURFSENSE_ENABLE_BUSY_MUTEX", - }, - { - key: "enable_llm_tool_selector", - label: "LLM tool selector", - description: "Use a smaller model to pre-filter the tool list per turn.", - envVar: "SURFSENSE_ENABLE_LLM_TOOL_SELECTOR", - }, - ], - }, - { - id: "tier4", - title: "Tier 4 — Skills + subagents", - subtitle: "Built-in skills, specialized subagents, KB planner runnable.", - flags: [ - { - key: "enable_skills", - label: "Skills", - description: "Load on-demand skill packs (kb-research, report-writing, …).", - envVar: "SURFSENSE_ENABLE_SKILLS", - }, - { - key: "enable_specialized_subagents", - label: "Specialized subagents", - description: "Spin up explore / report_writer / connector_negotiator subagents.", - envVar: "SURFSENSE_ENABLE_SPECIALIZED_SUBAGENTS", - }, - ], - }, - { - id: "tier5", - title: "Tier 5 — Audit + revert", - subtitle: "Action log + revert route used by the Agent Actions dialog.", - flags: [ - { - key: "enable_action_log", - label: "Action log", - description: "Persist every tool call to agent_action_log.", - envVar: "SURFSENSE_ENABLE_ACTION_LOG", - }, - { - key: "enable_revert_route", - label: "Revert route", - description: "Allow reverting reversible actions from the action log.", - envVar: "SURFSENSE_ENABLE_REVERT_ROUTE", - }, - ], - }, - { - id: "tier6", - title: "Tier 6 — Plugins", - subtitle: "Optional middleware loaded from entry points.", - flags: [ - { - key: "enable_plugin_loader", - label: "Plugin loader", - description: "Load surfsense.plugins entry-point middleware.", - envVar: "SURFSENSE_ENABLE_PLUGIN_LOADER", - }, - ], - }, - { - id: "obs", - title: "Observability", - subtitle: "Telemetry pipelines (orthogonal to feature gating).", - flags: [ - { - key: "enable_otel", - label: "OpenTelemetry", - description: "Emit OTel spans (also requires OTEL_EXPORTER_OTLP_ENDPOINT).", - envVar: "SURFSENSE_ENABLE_OTEL", - }, - ], - }, - { - id: "desktop", - title: "Desktop", - subtitle: "Desktop-only capabilities exposed by the backend deployment.", - flags: [ - { - key: "enable_desktop_local_filesystem", - label: "Local filesystem", - description: "Allow Desktop chat sessions to operate directly on selected local folders.", - envVar: "ENABLE_DESKTOP_LOCAL_FILESYSTEM", - }, - ], - }, -]; - -function FlagRow({ def, value }: { def: FlagDef; value: boolean }) { - return ( -
-
-
- {def.label} - - {def.envVar} - -
-

{def.description}

-
- - {value ? : } - {value ? "On" : "Off"} - -
- ); -} - -export function AgentStatusContent() { - const { data: flags, isLoading, isError, error } = useAtomValue(agentFlagsAtom); - - const enabledCount = useMemo(() => { - if (!flags) return 0; - return Object.entries(flags).filter(([k, v]) => k !== "disable_new_agent_stack" && v === true) - .length; - }, [flags]); - - if (isLoading) { - return ( -
- - - -
- ); - } - - if (isError || !flags) { - return ( - - - Failed to load agent status - - {error instanceof Error ? error.message : "Unknown error."} - - - ); - } - - const masterOff = flags.disable_new_agent_stack; - - return ( -
- {masterOff ? ( - - - Master kill-switch is on - -

- Showing that{" "} - - SURFSENSE_DISABLE_NEW_AGENT_STACK=true - - , which forces every new middleware off, regardless of the individual flags below. - Restart the backend after changing it. -

-
-
- ) : ( - - - - Agent stack - - {enabledCount} on - - - -

- Showing a read-only mirror of the backend's AgentFeatureFlags. Flip an - env var and restart the backend to change a value. -

-
-
- )} - - {FLAG_GROUPS.map((group, groupIdx) => { - const allOff = group.flags.every((f) => !flags[f.key]); - return ( -
- {groupIdx > 0 && } -
-
-
-

{group.title}

-

{group.subtitle}

-
- {allOff && ( - - all off - - )} -
- -
- {group.flags.map((def, flagIdx) => ( - - {flagIdx > 0 && } - - - ))} -
-
-
- ); - })} -
- ); -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/user-settings/page.tsx b/surfsense_web/app/dashboard/[search_space_id]/user-settings/page.tsx deleted file mode 100644 index dde643142..000000000 --- a/surfsense_web/app/dashboard/[search_space_id]/user-settings/page.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import { redirect } from "next/navigation"; - -export default async function UserSettingsPage({ - params, -}: { - params: Promise<{ search_space_id: string }>; -}) { - const { search_space_id } = await params; - redirect(`/dashboard/${search_space_id}/user-settings/profile`); -} diff --git a/surfsense_web/app/dashboard/[search_space_id]/artifacts/page.tsx b/surfsense_web/app/dashboard/[workspace_id]/artifacts/page.tsx similarity index 63% rename from surfsense_web/app/dashboard/[search_space_id]/artifacts/page.tsx rename to surfsense_web/app/dashboard/[workspace_id]/artifacts/page.tsx index 8f8109156..a9fdb5843 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/artifacts/page.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/artifacts/page.tsx @@ -5,7 +5,7 @@ import { ArtifactsLibrary } from "@/features/artifacts-library"; export default function ArtifactsPage() { const params = useParams(); - const searchSpaceId = Number(params.search_space_id); + const workspaceId = Number(params.workspace_id); - return ; + return ; } diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/automation-detail-content.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/automation-detail-content.tsx similarity index 90% rename from surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/automation-detail-content.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/automation-detail-content.tsx index 4085d47a8..acf816629 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/automation-detail-content.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/automation-detail-content.tsx @@ -10,7 +10,7 @@ import { AutomationRunsSection } from "./components/automation-runs-section"; import { AutomationTriggersSection } from "./components/automation-triggers-section"; interface AutomationDetailContentProps { - searchSpaceId: number; + workspaceId: number; automationId: number; } @@ -28,7 +28,7 @@ interface AutomationDetailContentProps { * so the orchestrator stays thin. */ export function AutomationDetailContent({ - searchSpaceId, + workspaceId, automationId, }: AutomationDetailContentProps) { const perms = useAutomationPermissions(); @@ -45,14 +45,14 @@ export function AutomationDetailContent({

Access denied

- You don't have permission to view automations in this search space. + You don't have permission to view automations in this workspace.

); } if (!validId) { - return ; + return ; } if (isLoading) { @@ -60,14 +60,14 @@ export function AutomationDetailContent({ } if (error || !automation) { - return ; + return ; } return ( <> diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/components/automation-definition-section.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/components/automation-definition-section.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/components/automation-definition-section.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/components/automation-definition-section.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/components/automation-detail-header.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/components/automation-detail-header.tsx similarity index 93% rename from surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/components/automation-detail-header.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/components/automation-detail-header.tsx index 71730baeb..945630ba2 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/components/automation-detail-header.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/components/automation-detail-header.tsx @@ -12,7 +12,7 @@ import { DeleteAutomationDialog } from "../../components/delete-automation-dialo interface AutomationDetailHeaderProps { automation: Automation; - searchSpaceId: number; + workspaceId: number; canUpdate: boolean; canDelete: boolean; } @@ -28,7 +28,7 @@ interface AutomationDetailHeaderProps { */ export function AutomationDetailHeader({ automation, - searchSpaceId, + workspaceId, canUpdate, canDelete, }: AutomationDetailHeaderProps) { @@ -44,8 +44,8 @@ export function AutomationDetailHeader({ const PauseIcon = automation.status === "active" ? Pause : Play; const handleDeleted = useCallback(() => { - router.push(`/dashboard/${searchSpaceId}/automations`); - }, [router, searchSpaceId]); + router.push(`/dashboard/${workspaceId}/automations`); + }, [router, workspaceId]); async function handleTogglePause() { await updateAutomation({ @@ -59,7 +59,7 @@ export function AutomationDetailHeader({
); } if (!validId) { - return ; + return ; } if (isLoading) { @@ -47,18 +47,18 @@ export function AutomationEditContent({ searchSpaceId, automationId }: Automatio } if (error || !automation) { - return ; + return ; } return ( ( )} diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/edit/components/automation-edit-header.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/edit/components/automation-edit-header.tsx similarity index 89% rename from surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/edit/components/automation-edit-header.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/edit/components/automation-edit-header.tsx index ca477220e..6951803df 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/edit/components/automation-edit-header.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/edit/components/automation-edit-header.tsx @@ -7,16 +7,16 @@ import type { Automation } from "@/contracts/types/automation.types"; interface AutomationEditHeaderProps { automation: Automation; - searchSpaceId: number; + workspaceId: number; modeSwitcher?: ReactNode; } export function AutomationEditHeader({ automation, - searchSpaceId, + workspaceId, modeSwitcher, }: AutomationEditHeaderProps) { - const detailHref = `/dashboard/${searchSpaceId}/automations/${automation.id}`; + const detailHref = `/dashboard/${workspaceId}/automations/${automation.id}`; return (
diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/edit/page.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/edit/page.tsx similarity index 61% rename from surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/edit/page.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/edit/page.tsx index 8477b9e12..728e018d0 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/edit/page.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/edit/page.tsx @@ -3,14 +3,14 @@ import { AutomationEditContent } from "./automation-edit-content"; export default async function AutomationEditPage({ params, }: { - params: Promise<{ search_space_id: string; automation_id: string }>; + params: Promise<{ workspace_id: string; automation_id: string }>; }) { - const { search_space_id, automation_id } = await params; + const { workspace_id, automation_id } = await params; return (
diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/page.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/page.tsx similarity index 62% rename from surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/page.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/page.tsx index dbaceecdd..8f6024a7b 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/[automation_id]/page.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/[automation_id]/page.tsx @@ -3,14 +3,14 @@ import { AutomationDetailContent } from "./automation-detail-content"; export default async function AutomationDetailPage({ params, }: { - params: Promise<{ search_space_id: string; automation_id: string }>; + params: Promise<{ workspace_id: string; automation_id: string }>; }) { - const { search_space_id, automation_id } = await params; + const { workspace_id, automation_id } = await params; return (
diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/automations-content.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/automations-content.tsx similarity index 79% rename from surfsense_web/app/dashboard/[search_space_id]/automations/automations-content.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/automations-content.tsx index d9c949058..826337a27 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/automations-content.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/automations-content.tsx @@ -8,19 +8,19 @@ import { AutomationsTable } from "./components/automations-table"; import { useAutomationPermissions } from "./hooks/use-automation-permissions"; interface AutomationsContentProps { - searchSpaceId: number; + workspaceId: number; } /** * Client orchestrator for the automations list page. Pulls the active - * search space's first page (via ``useAutomations`` → ``automationsListAtom``) + * workspace's first page (via ``useAutomations`` → ``automationsListAtom``) * and the user's permissions, then decides between empty / loading / table. * * Read access is mandatory; anything else is hidden behind RBAC. The * permissions hook is co-located in this slice so adding/removing * surfaces is a one-file change. */ -export function AutomationsContent({ searchSpaceId }: AutomationsContentProps) { +export function AutomationsContent({ workspaceId }: AutomationsContentProps) { const { automations, total, loading, error } = useAutomations(); const perms = useAutomationPermissions(); @@ -28,10 +28,10 @@ export function AutomationsContent({ searchSpaceId }: AutomationsContentProps) { // Permissions gate the entire page; defer everything until we know. return ( <> - +

Access denied

- You don't have permission to view automations in this search space. + You don't have permission to view automations in this workspace.

); @@ -56,7 +56,7 @@ export function AutomationsContent({ searchSpaceId }: AutomationsContentProps) { return ( <> - + ); } @@ -87,14 +87,14 @@ export function AutomationsContent({ searchSpaceId }: AutomationsContentProps) { return ( <> )} diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automation-row.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automation-row.tsx similarity index 92% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/automation-row.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/automation-row.tsx index 74c95cee4..a7c831ed1 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automation-row.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automation-row.tsx @@ -8,7 +8,7 @@ import { AutomationStatusBadge } from "./automation-status-badge"; interface AutomationRowProps { automation: AutomationSummary; - searchSpaceId: number; + workspaceId: number; canUpdate: boolean; canDelete: boolean; } @@ -21,7 +21,7 @@ interface AutomationRowProps { */ export function AutomationRow({ automation, - searchSpaceId, + workspaceId, canUpdate, canDelete, }: AutomationRowProps) { @@ -29,7 +29,7 @@ export function AutomationRow({ {automation.name} @@ -45,7 +45,7 @@ export function AutomationRow({
diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automation-status-badge.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automation-status-badge.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/automation-status-badge.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/automation-status-badge.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automation-triggers-summary.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automation-triggers-summary.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/automation-triggers-summary.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/automation-triggers-summary.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-empty-state.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-empty-state.tsx similarity index 80% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-empty-state.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-empty-state.tsx index 1ee71c636..1004c21b6 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-empty-state.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-empty-state.tsx @@ -4,7 +4,7 @@ import Link from "next/link"; import { Button } from "@/components/ui/button"; interface AutomationsEmptyStateProps { - searchSpaceId: number; + workspaceId: number; canCreate: boolean; } @@ -14,7 +14,7 @@ interface AutomationsEmptyStateProps { * "new automation" form. We surface the chat path explicitly so users * don't go hunting for an "add" button that doesn't exist. */ -export function AutomationsEmptyState({ searchSpaceId, canCreate }: AutomationsEmptyStateProps) { +export function AutomationsEmptyState({ workspaceId, canCreate }: AutomationsEmptyStateProps) { return (
@@ -28,19 +28,19 @@ export function AutomationsEmptyState({ searchSpaceId, canCreate }: AutomationsE {canCreate ? (
) : (

- You don't have permission to create automations in this search space. + You don't have permission to create automations in this workspace.

)}
diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-header.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-header.tsx similarity index 88% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-header.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-header.tsx index 5c1fcb507..6e284709a 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-header.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-header.tsx @@ -3,7 +3,7 @@ import Link from "next/link"; import { Button } from "@/components/ui/button"; interface AutomationsHeaderProps { - searchSpaceId: number; + workspaceId: number; total: number; loading: boolean; canCreate: boolean; @@ -22,7 +22,7 @@ interface AutomationsHeaderProps { * handled per-automation in the builder + approval card, not gated here. */ export function AutomationsHeader({ - searchSpaceId, + workspaceId, total, loading, canCreate, @@ -46,10 +46,10 @@ export function AutomationsHeader({ variant="ghost" className="justify-start rounded-md bg-muted px-3 hover:bg-accent" > - Create manually + Create manually
)} diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-loading.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-loading.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-loading.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-loading.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-table.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-table.tsx similarity index 96% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-table.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-table.tsx index 74c604173..09a1156a1 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/components/automations-table.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/components/automations-table.tsx @@ -7,7 +7,7 @@ import { AutomationsLoadingRows } from "./automations-loading"; interface AutomationsTableProps { automations: AutomationSummary[]; - searchSpaceId: number; + workspaceId: number; loading: boolean; canUpdate: boolean; canDelete: boolean; @@ -19,7 +19,7 @@ interface AutomationsTableProps { */ export function AutomationsTable({ automations, - searchSpaceId, + workspaceId, loading, canUpdate, canDelete, @@ -60,7 +60,7 @@ export function AutomationsTable({ diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/advanced-section.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/advanced-section.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/advanced-section.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/advanced-section.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/automation-builder-form.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/automation-builder-form.tsx similarity index 96% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/automation-builder-form.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/automation-builder-form.tsx index a68e53a1c..0994ceb7d 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/automation-builder-form.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/automation-builder-form.tsx @@ -49,7 +49,7 @@ import { UnattendedToggle } from "./unattended-toggle"; interface AutomationBuilderFormProps { mode: "create" | "edit"; - searchSpaceId: number; + workspaceId: number; /** Required in edit mode; seeds the form and trigger reconciliation. */ automation?: Automation; /** @@ -78,7 +78,7 @@ function mapFormErrors(error: z.ZodError): Record { export function AutomationBuilderForm({ mode, - searchSpaceId, + workspaceId, automation, submitDisabledReason, renderModeSwitcher, @@ -120,7 +120,7 @@ export function AutomationBuilderForm({ const [submitting, setSubmitting] = useState(false); - // Eligible models + the search-space-seeded defaults. Models are chosen per + // Eligible models + the workspace-seeded defaults. Models are chosen per // automation on create; in edit mode the backend preserves the captured // snapshot, so the picker is create-only. const eligibleModels = useAutomationEligibleModels(); @@ -156,10 +156,7 @@ export function AutomationBuilderForm({ if (mode === "edit" && automation) { return { ...buildUpdatePayload(formForPayload), status: automation.status }; } - const { search_space_id: _ignored, ...rest } = buildCreatePayload( - formForPayload, - searchSpaceId - ); + const { workspace_id: _ignored, ...rest } = buildCreatePayload(formForPayload, workspaceId); return rest; } @@ -265,16 +262,16 @@ export function AutomationBuilderForm({ } await updateAutomation({ automationId: automation.id, patch: parsed.data }); await reconcileTriggers(automation.id); - router.push(`/dashboard/${searchSpaceId}/automations/${automation.id}`); + router.push(`/dashboard/${workspaceId}/automations/${automation.id}`); } else { - const payload = buildCreatePayload(formForPayload, searchSpaceId); + const payload = buildCreatePayload(formForPayload, workspaceId); const parsed = automationCreateRequest.safeParse(payload); if (!parsed.success) { setRootError(zodIssueList(parsed.error).join("; ")); return; } const created = await createAutomation(parsed.data); - router.push(`/dashboard/${searchSpaceId}/automations/${created.id}`); + router.push(`/dashboard/${workspaceId}/automations/${created.id}`); } } catch (err) { setRootError((err as Error).message ?? "Submit failed"); @@ -294,18 +291,18 @@ export function AutomationBuilderForm({ return; } await updateAutomation({ automationId: automation.id, patch: parsed.data }); - router.push(`/dashboard/${searchSpaceId}/automations/${automation.id}`); + router.push(`/dashboard/${workspaceId}/automations/${automation.id}`); } else { const parsed = automationCreateRequest.safeParse({ ...jsonValue, - search_space_id: searchSpaceId, + workspace_id: workspaceId, }); if (!parsed.success) { setJsonIssues(zodIssueList(parsed.error)); return; } const created = await createAutomation(parsed.data); - router.push(`/dashboard/${searchSpaceId}/automations/${created.id}`); + router.push(`/dashboard/${workspaceId}/automations/${created.id}`); } } catch (err) { setJsonIssues([(err as Error).message ?? "Submit failed"]); @@ -396,7 +393,7 @@ export function AutomationBuilderForm({ patchForm({ tasks })} /> patchForm({ models: { ...form.models, ...patch } })} /> diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/automation-model-fields.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/automation-model-fields.tsx similarity index 97% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/automation-model-fields.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/automation-model-fields.tsx index 6dd42366b..429b8d37f 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/automation-model-fields.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/automation-model-fields.tsx @@ -34,7 +34,7 @@ interface AutomationModelFieldsProps { /** Resolved (effective) ids — never `0` once defaults are seeded. */ value: AutomationModelSelection; onChange: (patch: Partial) => void; - searchSpaceId: number; + workspaceId: number; errors?: Partial>; } @@ -47,11 +47,11 @@ interface AutomationModelFieldsProps { export function AutomationModelFields({ value, onChange, - searchSpaceId, + workspaceId, errors, }: AutomationModelFieldsProps) { const { llm, image, vision, isLoading } = useAutomationEligibleModels(); - const rolesHref = `/dashboard/${searchSpaceId}/search-space-settings/models`; + const rolesHref = `/dashboard/${workspaceId}/workspace-settings/models`; return (
diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/basics-section.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/basics-section.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/basics-section.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/basics-section.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/builder-summary.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/builder-summary.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/builder-summary.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/builder-summary.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/form-field.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/form-field.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/form-field.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/form-field.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/json-mode-panel.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/json-mode-panel.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/json-mode-panel.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/json-mode-panel.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/mention-task-input.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/mention-task-input.tsx similarity index 97% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/mention-task-input.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/mention-task-input.tsx index c0651a90b..d17b5f9a6 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/mention-task-input.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/mention-task-input.tsx @@ -20,7 +20,7 @@ import { getMentionDocKey } from "@/lib/chat/mention-doc-key"; import { cn } from "@/lib/utils"; interface MentionTaskInputProps { - searchSpaceId: number; + workspaceId: number; value: string; mentions: MentionedDocumentInfo[]; onChange: (text: string, mentions: MentionedDocumentInfo[]) => void; @@ -73,6 +73,9 @@ function toChipInput(mention: MentionedDocumentInfo): MentionChipInput { if (mention.kind === "folder") { return { id: mention.id, title: mention.title, kind: "folder" }; } + if (mention.kind === "thread") { + return { id: mention.id, title: mention.title, kind: "thread" }; + } return { id: mention.id, title: mention.title, @@ -95,7 +98,7 @@ function removeFirstToken(text: string, token: string): string { * so the builder can persist IDs for the run. */ export function MentionTaskInput({ - searchSpaceId, + workspaceId, value, mentions, onChange, @@ -232,7 +235,7 @@ export function MentionTaskInput({ ) => void; onMoveUp: () => void; @@ -31,7 +31,7 @@ export function TaskItem({ index, total, task, - searchSpaceId, + workspaceId, error, onChange, onMoveUp, @@ -89,7 +89,7 @@ export function TaskItem({ hint="Type @ to reference files, folders, or connectors for extra context." > ; - searchSpaceId: number; + workspaceId: number; onChange: (tasks: BuilderTask[]) => void; } @@ -15,7 +15,7 @@ interface TaskListProps { * Ordered list of agent tasks. Steps run sequentially in the order shown. * Reordering is done with up/down buttons to avoid a drag-and-drop dependency. */ -export function TaskList({ tasks, errors, searchSpaceId, onChange }: TaskListProps) { +export function TaskList({ tasks, errors, workspaceId, onChange }: TaskListProps) { function updateAt(index: number, patch: Partial) { onChange(tasks.map((task, i) => (i === index ? { ...task, ...patch } : task))); } @@ -40,7 +40,7 @@ export function TaskList({ tasks, errors, searchSpaceId, onChange }: TaskListPro index={index} total={tasks.length} task={task} - searchSpaceId={searchSpaceId} + workspaceId={workspaceId} error={errors[`tasks.${index}.query`]} onChange={(patch) => updateAt(index, patch)} onMoveUp={() => move(index, -1)} diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/timezone-combobox.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/timezone-combobox.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/timezone-combobox.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/timezone-combobox.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/unattended-toggle.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/unattended-toggle.tsx similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/builder/unattended-toggle.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/builder/unattended-toggle.tsx diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/components/delete-automation-dialog.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/components/delete-automation-dialog.tsx similarity index 95% rename from surfsense_web/app/dashboard/[search_space_id]/automations/components/delete-automation-dialog.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/components/delete-automation-dialog.tsx index 23fc522ca..9208832be 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/components/delete-automation-dialog.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/components/delete-automation-dialog.tsx @@ -19,7 +19,7 @@ interface DeleteAutomationDialogProps { onOpenChange: (open: boolean) => void; automationId: number; automationName: string; - searchSpaceId: number; + workspaceId: number; /** * Fired after a successful delete, before the dialog closes. The detail * page uses this to navigate back to the list (the row simply vanishes @@ -38,7 +38,7 @@ export function DeleteAutomationDialog({ onOpenChange, automationId, automationName, - searchSpaceId, + workspaceId, onDeleted, }: DeleteAutomationDialogProps) { const { mutateAsync: deleteAutomation } = useAtomValue(deleteAutomationMutationAtom); @@ -47,7 +47,7 @@ export function DeleteAutomationDialog({ async function handleConfirm() { setSubmitting(true); try { - await deleteAutomation({ automationId, searchSpaceId }); + await deleteAutomation({ automationId, workspaceId: workspaceId }); onDeleted?.(); onOpenChange(false); } finally { diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/hooks/use-automation-permissions.ts b/surfsense_web/app/dashboard/[workspace_id]/automations/hooks/use-automation-permissions.ts similarity index 100% rename from surfsense_web/app/dashboard/[search_space_id]/automations/hooks/use-automation-permissions.ts rename to surfsense_web/app/dashboard/[workspace_id]/automations/hooks/use-automation-permissions.ts diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/new/automation-new-content.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/new/automation-new-content.tsx similarity index 83% rename from surfsense_web/app/dashboard/[search_space_id]/automations/new/automation-new-content.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/new/automation-new-content.tsx index cdf5761b1..dd541923b 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/new/automation-new-content.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/new/automation-new-content.tsx @@ -5,7 +5,7 @@ import { useAutomationPermissions } from "../hooks/use-automation-permissions"; import { AutomationNewHeader } from "./components/automation-new-header"; interface AutomationNewContentProps { - searchSpaceId: number; + workspaceId: number; } /** @@ -18,7 +18,7 @@ interface AutomationNewContentProps { * list eligible (premium/BYOK) models, surface a per-slot notice when none * exist, and block submit until each slot resolves. */ -export function AutomationNewContent({ searchSpaceId }: AutomationNewContentProps) { +export function AutomationNewContent({ workspaceId }: AutomationNewContentProps) { const perms = useAutomationPermissions(); if (perms.loading) { @@ -31,7 +31,7 @@ export function AutomationNewContent({ searchSpaceId }: AutomationNewContentProp

Access denied

- You don't have permission to create automations in this search space. + You don't have permission to create automations in this workspace.

); @@ -40,9 +40,9 @@ export function AutomationNewContent({ searchSpaceId }: AutomationNewContentProp return ( ( - + )} /> ); diff --git a/surfsense_web/app/dashboard/[search_space_id]/automations/new/components/automation-new-header.tsx b/surfsense_web/app/dashboard/[workspace_id]/automations/new/components/automation-new-header.tsx similarity index 87% rename from surfsense_web/app/dashboard/[search_space_id]/automations/new/components/automation-new-header.tsx rename to surfsense_web/app/dashboard/[workspace_id]/automations/new/components/automation-new-header.tsx index a2f7f85f0..57aeffd8a 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/automations/new/components/automation-new-header.tsx +++ b/surfsense_web/app/dashboard/[workspace_id]/automations/new/components/automation-new-header.tsx @@ -5,17 +5,17 @@ import type { ReactNode } from "react"; import { Button } from "@/components/ui/button"; interface AutomationNewHeaderProps { - searchSpaceId: number; + workspaceId: number; modeSwitcher?: ReactNode; } -export function AutomationNewHeader({ searchSpaceId, modeSwitcher }: AutomationNewHeaderProps) { +export function AutomationNewHeader({ workspaceId, modeSwitcher }: AutomationNewHeaderProps) { return (
diff --git a/surfsense_web/app/dashboard/[workspace_id]/page.tsx b/surfsense_web/app/dashboard/[workspace_id]/page.tsx new file mode 100644 index 000000000..a0f40f57c --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/page.tsx @@ -0,0 +1,10 @@ +import { redirect } from "next/navigation"; + +export default async function WorkspaceDashboardPage({ + params, +}: { + params: Promise<{ workspace_id: string }>; +}) { + const { workspace_id } = await params; + redirect(`/dashboard/${workspace_id}/new-chat`); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/[platform]/[verb]/page.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/[platform]/[verb]/page.tsx new file mode 100644 index 000000000..38105aa56 --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/[platform]/[verb]/page.tsx @@ -0,0 +1,15 @@ +import { PlaygroundRunner } from "../../components/playground-runner"; + +export default async function PlaygroundVerbPage({ + params, +}: { + params: Promise<{ workspace_id: string; platform: string; verb: string }>; +}) { + const { workspace_id, platform, verb } = await params; + + return ( +
+ +
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/api-keys/page.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/api-keys/page.tsx new file mode 100644 index 000000000..0dbd12818 --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/api-keys/page.tsx @@ -0,0 +1,15 @@ +import { ApiKeysSection } from "../components/api-keys-section"; + +export default async function PlaygroundApiKeysPage({ + params, +}: { + params: Promise<{ workspace_id: string }>; +}) { + const { workspace_id } = await params; + + return ( +
+ +
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/api-keys-section.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/api-keys-section.tsx new file mode 100644 index 000000000..e3df313f0 --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/api-keys-section.tsx @@ -0,0 +1,82 @@ +"use client"; + +import { useQuery } from "@tanstack/react-query"; +import { useAtomValue } from "jotai"; +import { useState } from "react"; +import { toast } from "sonner"; +import { updateWorkspaceApiAccessMutationAtom } from "@/atoms/workspaces/workspace-mutation.atoms"; +import { Label } from "@/components/ui/label"; +import { Skeleton } from "@/components/ui/skeleton"; +import { Switch } from "@/components/ui/switch"; +import { workspacesApiService } from "@/lib/apis/workspaces-api.service"; +import { cacheKeys } from "@/lib/query-client/cache-keys"; +import { ApiKeyContent } from "../../user-settings/components/ApiKeyContent"; + +/** + * One-stop API key management for the playground: the workspace API-access + * toggle (otherwise buried in workspace settings) plus the personal API key + * manager (otherwise buried in user settings). + */ +export function ApiKeysSection({ workspaceId }: { workspaceId: number }) { + const { + data: workspace, + isLoading, + refetch, + } = useQuery({ + queryKey: cacheKeys.workspaces.detail(workspaceId.toString()), + queryFn: () => workspacesApiService.getWorkspace({ id: workspaceId }), + enabled: !!workspaceId, + }); + const { mutateAsync: updateWorkspaceApiAccess } = useAtomValue( + updateWorkspaceApiAccessMutationAtom + ); + const [saving, setSaving] = useState(false); + + const handleToggle = async (enabled: boolean) => { + try { + setSaving(true); + await updateWorkspaceApiAccess({ id: workspaceId, api_access_enabled: enabled }); + await refetch(); + } catch (error) { + console.error("Error updating API access:", error); + toast.error(error instanceof Error ? error.message : "Failed to update API access"); + } finally { + setSaving(false); + } + }; + + const apiAccessEnabled = !!workspace?.api_access_enabled; + + return ( +
+
+

API Keys

+

+ Enable API access for this workspace and manage the keys that use it. +

+
+ +
+
+ +

+ Allow API keys to access this workspace. + {!isLoading && !apiAccessEnabled && " Currently disabled — keys won't work here."} +

+
+ {isLoading ? ( + + ) : ( + + )} +
+ + +
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/api-reference.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/api-reference.tsx new file mode 100644 index 000000000..acdcddd6c --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/api-reference.tsx @@ -0,0 +1,122 @@ +"use client"; + +import { Check, Copy } from "lucide-react"; +import { useMemo, useState } from "react"; +import { Button } from "@/components/ui/button"; +import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; +import { BACKEND_URL } from "@/lib/env-config"; +import { buildExamplePayload, buildSnippets } from "@/lib/playground/code-snippets"; +import type { FormField } from "@/lib/playground/json-schema"; + +function CopyButton({ text }: { text: string }) { + const [copied, setCopied] = useState(false); + const copy = () => { + navigator.clipboard.writeText(text).then(() => { + setCopied(true); + setTimeout(() => setCopied(false), 1500); + }); + }; + return ( + + ); +} + +function CodeBlock({ code }: { code: string }) { + return ( +
+ +
+				{code}
+			
+
+ ); +} + +function SchemaBlock({ title, schema }: { title: string; schema: Record }) { + const json = useMemo(() => JSON.stringify(schema, null, 2), [schema]); + return ( +
+ + {title} + +
+ +
+					{json}
+				
+
+
+ ); +} + +export function ApiReference({ + workspaceId, + platform, + verb, + fields, + inputSchema, + outputSchema, +}: { + workspaceId: number; + platform: string; + verb: string; + fields: FormField[]; + inputSchema: Record; + /** Absent only when talking to a backend that predates output schemas. */ + outputSchema?: Record; +}) { + const path = `/api/v1/workspaces/${workspaceId}/scrapers/${platform}/${verb}`; + + // In proxy mode BACKEND_URL is intentionally empty (same-origin), so external + // callers use this app's origin. Client component, so window is available. + const baseUrl = BACKEND_URL || (typeof window !== "undefined" ? window.location.origin : ""); + + const snippets = useMemo(() => { + const payload = buildExamplePayload(fields); + return buildSnippets(baseUrl, path, payload); + }, [fields, baseUrl, path]); + + return ( +
+
+

API reference

+

+ Call this API from your own project. Create a key under{" "} + API Keys (and enable API access for + this workspace), then send it as a{" "} + Authorization: Bearer{" "} + header. +

+
+ + + + {snippets.map((snippet) => ( + + {snippet.label} + + ))} + + {snippets.map((snippet) => ( + + + + ))} + + +
+ + {outputSchema && } +
+
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/output-viewer.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/output-viewer.tsx new file mode 100644 index 000000000..606548e14 --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/output-viewer.tsx @@ -0,0 +1,183 @@ +"use client"; + +import { Check, Copy, Download } from "lucide-react"; +import { useMemo, useState } from "react"; +import { Button } from "@/components/ui/button"; +import { + Table, + TableBody, + TableCell, + TableHead, + TableHeader, + TableRow, +} from "@/components/ui/table"; +import { downloadCsv, rowsToCsv } from "@/lib/playground/csv"; +import { cn } from "@/lib/utils"; + +const MAX_TABLE_ROWS = 200; + +function extractItems(data: unknown): Record[] | null { + if ( + typeof data === "object" && + data !== null && + "items" in data && + Array.isArray((data as { items: unknown }).items) + ) { + const items = (data as { items: unknown[] }).items; + if (items.every((item) => typeof item === "object" && item !== null)) { + return items as Record[]; + } + } + return null; +} + +function cellText(value: unknown): string { + if (value === null || value === undefined) return ""; + if (typeof value === "object") return JSON.stringify(value); + return String(value); +} + +function ResultTable({ items }: { items: Record[] }) { + const columns = useMemo(() => { + const keys = new Set(); + for (const item of items.slice(0, MAX_TABLE_ROWS)) { + for (const key of Object.keys(item)) keys.add(key); + } + return Array.from(keys); + }, [items]); + + const rows = items.slice(0, MAX_TABLE_ROWS); + + return ( +
+ + + + {columns.map((col) => ( + + {col} + + ))} + + + + {rows.map((item, i) => ( + // biome-ignore lint/suspicious/noArrayIndexKey: rows have no stable id + + {columns.map((col) => ( + + {cellText(item[col])} + + ))} + + ))} + +
+
+ ); +} + +export function OutputViewer({ data, filenameBase }: { data: unknown; filenameBase?: string }) { + const items = useMemo(() => extractItems(data), [data]); + const [view, setView] = useState<"table" | "json">(items ? "table" : "json"); + const [copied, setCopied] = useState(false); + + const json = useMemo(() => JSON.stringify(data, null, 2), [data]); + + const copy = () => { + navigator.clipboard.writeText(json).then(() => { + setCopied(true); + setTimeout(() => setCopied(false), 1500); + }); + }; + + // Export the full item set (not just the display-capped rows) as CSV, with a + // column per union key so nothing is dropped. + const exportCsv = () => { + if (!items || items.length === 0) return; + const columns = Array.from( + items.reduce((set, item) => { + for (const key of Object.keys(item)) set.add(key); + return set; + }, new Set()) + ); + downloadCsv(filenameBase ?? "output", rowsToCsv(items, columns)); + }; + + const truncated = items && items.length > MAX_TABLE_ROWS; + + return ( +
+
+
+ {items && ( + + )} + +
+
+ {items && items.length > 0 && ( + + )} + +
+
+ + {items && items.length === 0 && ( +

+ No items returned. +

+ )} + + {view === "table" && items && items.length > 0 ? ( + <> + + {truncated && ( +

+ Showing first {MAX_TABLE_ROWS} of {items.length} items. Use Copy JSON for the full + output. +

+ )} + + ) : ( +
+					{json}
+				
+ )} +
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/playground-index.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/playground-index.tsx new file mode 100644 index 000000000..741ed291f --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/playground-index.tsx @@ -0,0 +1,94 @@ +"use client"; + +import { ArrowRight, History, KeyRound } from "lucide-react"; +import Link from "next/link"; +import { useMemo } from "react"; +import { useScraperCapabilities } from "@/hooks/use-scraper-capabilities"; +import { PLAYGROUND_PLATFORMS } from "@/lib/playground/catalog"; +import { formatPricing } from "@/lib/playground/format"; + +export function PlaygroundIndex({ workspaceId }: { workspaceId: number }) { + const base = `/dashboard/${workspaceId}/playground`; + + // The grid renders from the static catalog immediately; pricing fills in + // once the capabilities fetch lands (blank while loading, never blocking). + const { data: capabilities } = useScraperCapabilities(workspaceId); + const pricingByName = useMemo( + () => new Map(capabilities?.map((c) => [c.name, formatPricing(c.pricing)])), + [capabilities] + ); + + return ( +
+
+

API Playground

+

+ Manually run SurfSense's platform-native APIs and inspect their output. Every run is + captured under Runs. +

+
+ +
+ +
+ +
+

Runs

+

See every API run in this workspace

+
+
+ + + +
+ +
+

API Keys

+

+ Enable workspace access and manage keys +

+
+
+ + +
+ +
+ {PLAYGROUND_PLATFORMS.map((platform) => ( +
+
+ +

{platform.label}

+
+
+ {platform.verbs.map((verb) => ( + +
+ {verb.label} + +
+ {verb.name} + {pricingByName.has(verb.name) ? ( + + {pricingByName.get(verb.name)} + + ) : null} + + ))} +
+
+ ))} +
+
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/playground-runner.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/playground-runner.tsx new file mode 100644 index 000000000..3b76a7d09 --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/playground-runner.tsx @@ -0,0 +1,283 @@ +"use client"; + +import { AlertTriangle, Coins, Hash, Loader2, Play, Timer, X } from "lucide-react"; +import Link from "next/link"; +import { useCallback, useEffect, useMemo, useRef, useState } from "react"; +import { Button } from "@/components/ui/button"; +import { Spinner } from "@/components/ui/spinner"; +import { useRunStream } from "@/hooks/use-run-stream"; +import { useScraperCapabilities } from "@/hooks/use-scraper-capabilities"; +import { scrapersApiService } from "@/lib/apis/scrapers-api.service"; +import { AbortedError, AppError } from "@/lib/error"; +import { findVerb } from "@/lib/playground/catalog"; +import { formatCost, formatDuration, formatPricing } from "@/lib/playground/format"; +import { buildPayload, initialFormValues, parseSchemaFields } from "@/lib/playground/json-schema"; +import { ApiReference } from "./api-reference"; +import { OutputViewer } from "./output-viewer"; +import { RunProgressPanel } from "./run-progress-panel"; +import { SchemaForm } from "./schema-form"; + +interface PlaygroundRunnerProps { + workspaceId: number; + platform: string; + verb: string; +} + +const MAX_OUTPUT_LINES = 200; + +/** Parse the stored JSONL output into objects, capped for rendering. */ +function parseJsonlOutput(text: string | null | undefined): { items: unknown[] } { + if (!text) return { items: [] }; + const lines = text.split("\n").filter((line) => line.trim().length > 0); + const items: unknown[] = []; + for (const line of lines.slice(0, MAX_OUTPUT_LINES)) { + try { + items.push(JSON.parse(line)); + } catch { + items.push(line); + } + } + return { items }; +} + +function RunStat({ + icon: Icon, + label, + value, +}: { + icon: typeof Hash; + label: string; + value: string; +}) { + return ( +
+ + {label} + {value} +
+ ); +} + +function ErrorPanel({ error, workspaceId }: { error: unknown; workspaceId: number }) { + if (error instanceof AbortedError) { + return null; + } + const status = error instanceof AppError ? error.status : undefined; + + if (status === 402) { + return ( +
+

Insufficient credits

+

You don't have enough credits to run this API.

+ +
+ ); + } + + const message = + status === 422 + ? "Invalid input. Check the fields above and try again." + : error instanceof Error && error.message + ? error.message + : "Something went wrong running this API."; + + return ( +
+ + {message} +
+ ); +} + +export function PlaygroundRunner({ workspaceId, platform, verb }: PlaygroundRunnerProps) { + const catalogVerb = findVerb(platform, verb); + const { + data: capabilities, + isLoading, + error: capabilitiesError, + } = useScraperCapabilities(workspaceId); + + const capability = useMemo(() => { + if (!capabilities) return undefined; + const name = catalogVerb?.name ?? `${platform}.${verb}`; + return capabilities.find((c) => c.name === name); + }, [capabilities, catalogVerb, platform, verb]); + + const fields = useMemo(() => parseSchemaFields(capability?.input_schema), [capability]); + + const [values, setValues] = useState>({}); + const run = useRunStream(workspaceId); + const isRunning = run.status === "running"; + + // Seed form defaults once the schema is available. + useEffect(() => { + if (fields.length > 0) { + setValues(initialFormValues(fields)); + } + }, [fields]); + + // Survive a refresh: if this verb's newest run is still ``running``, re-attach + // to its live stream instead of showing an idle form. + const reattachedRef = useRef(false); + const { reattach } = run; + useEffect(() => { + if (reattachedRef.current || !capability) return; + reattachedRef.current = true; + let cancelled = false; + (async () => { + try { + const recent = await scrapersApiService.listRuns(workspaceId, { + capability: capability.name, + limit: 1, + }); + const top = recent[0]; + if (!cancelled && top && top.status === "running") { + reattach(top.id); + } + } catch { + // Best-effort reattach; a fresh run still works. + } + })(); + return () => { + cancelled = true; + }; + }, [capability, workspaceId, reattach]); + + const handleChange = (name: string, value: unknown) => { + setValues((prev) => ({ ...prev, [name]: value })); + }; + + const handleRun = useCallback(() => { + const payload = buildPayload(fields, values); + void run.start(platform, verb, payload); + }, [fields, values, platform, verb, run]); + + const output = useMemo( + () => (run.detail ? parseJsonlOutput(run.detail.output_text) : null), + [run.detail] + ); + + if (isLoading) { + return ( +
+ +
+ ); + } + + if (capabilitiesError) { + return ( +
+ Couldn't load API definitions + {capabilitiesError.message ? `: ${capabilitiesError.message}` : "."} +
+ ); + } + + if (!capability || !catalogVerb) { + return ( +
+ Unknown API: {platform}.{verb} +
+ ); + } + + return ( +
+
+
+
+

+ {catalogVerb.label} · {platform} +

+ {capability.description && ( +

{capability.description}

+ )} + + POST /workspaces/{workspaceId}/scrapers/{platform}/{verb} + +
+ + + {formatPricing(capability.pricing)} + +
+
+ + + +
+ + {isRunning && ( + + )} +
+ + {run.status === "error" && } +
+ +
+

Output

+ {isRunning ? ( + + ) : run.status === "cancelled" ? ( +
+ Run cancelled. +
+ ) : run.status === "success" && output ? ( + <> +
+ + + +
+ + + ) : ( +
+ Run the API to see output here. +
+ )} +
+
+ + +
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-detail.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-detail.tsx new file mode 100644 index 000000000..2dab447cf --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-detail.tsx @@ -0,0 +1,117 @@ +"use client"; + +import { useMemo } from "react"; +import { Spinner } from "@/components/ui/spinner"; +import { useScraperRun } from "@/hooks/use-scraper-runs"; +import { OutputViewer } from "./output-viewer"; + +const MAX_OUTPUT_LINES = 200; + +/** One-line label for a persisted ``run.progress`` event object. */ +function progressLine(event: Record): string { + const message = typeof event.message === "string" ? event.message : undefined; + const phase = typeof event.phase === "string" ? event.phase : undefined; + const current = typeof event.current === "number" ? event.current : undefined; + const total = typeof event.total === "number" ? event.total : undefined; + const base = message || (phase ? phase.replace(/_/g, " ") : "step"); + if (current !== undefined) { + return `${base} (${total !== undefined ? `${current}/${total}` : current})`; + } + return base; +} + +/** Parse the stored JSONL output into objects, capped for rendering. */ +function parseJsonl(text: string | null): { items: unknown[]; total: number } { + if (!text) return { items: [], total: 0 }; + const lines = text.split("\n").filter((line) => line.trim().length > 0); + const items: unknown[] = []; + for (const line of lines.slice(0, MAX_OUTPUT_LINES)) { + try { + items.push(JSON.parse(line)); + } catch { + items.push(line); + } + } + return { items, total: lines.length }; +} + +export function RunDetail({ + workspaceId, + runId, +}: { + workspaceId: number; + runId: string; +}) { + const { data: run, isLoading, error } = useScraperRun(workspaceId, runId); + + const parsed = useMemo(() => parseJsonl(run?.output_text ?? null), [run?.output_text]); + + if (isLoading) { + return ( +
+ +
+ ); + } + + if (error) { + return ( +

+ Couldn't load run{error.message ? `: ${error.message}` : "."} +

+ ); + } + + if (!run) return null; + + return ( +
+ {run.error && ( +
+ {run.error} +
+ )} + + {run.progress && run.progress.length > 0 && ( +
+

Progress

+
+ {run.progress.map((event, i) => ( +
+ {progressLine(event)} +
+ ))} +
+
+ )} + +
+

Input

+
+					{JSON.stringify(run.input ?? {}, null, 2)}
+				
+
+ +
+

+ Output {parsed.total > 0 && `(${parsed.total} items)`} +

+ {run.output_text ? ( + <> + + {parsed.total > MAX_OUTPUT_LINES && ( +

+ Showing first {MAX_OUTPUT_LINES} of {parsed.total} stored items. +

+ )} + + ) : ( +

No output stored for this run.

+ )} +
+
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-progress-panel.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-progress-panel.tsx new file mode 100644 index 000000000..33a88ae76 --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-progress-panel.tsx @@ -0,0 +1,88 @@ +"use client"; + +import { Loader2 } from "lucide-react"; +import { useEffect, useRef } from "react"; +import type { ScraperRunEvent } from "@/contracts/types/scraper.types"; +import { formatDuration } from "@/lib/playground/format"; + +/** One-line human label for a progress/lifecycle event. */ +function eventLabel(event: ScraperRunEvent): string { + const base = + event.message || + (event.phase ? event.phase.replace(/_/g, " ").replace(/^\w/, (c) => c.toUpperCase()) : "Working"); + if (event.current !== undefined && event.current !== null) { + const counter = + event.total !== undefined && event.total !== null + ? `${event.current}/${event.total}` + : String(event.current); + return `${base} (${counter})`; + } + return base; +} + +/** + * Live progress for an in-flight async run: a headline status, a determinate + * bar when counts are known, a running elapsed timer, and a scrolling event log. + */ +export function RunProgressPanel({ + latest, + events, + elapsedMs, +}: { + latest: ScraperRunEvent | null; + events: ScraperRunEvent[]; + elapsedMs: number; +}) { + const logRef = useRef(null); + + // Keep the newest line in view as the log grows. + useEffect(() => { + const el = logRef.current; + if (el) el.scrollTop = el.scrollHeight; + }, [events.length]); + + const total = latest?.total ?? undefined; + const current = latest?.current ?? undefined; + const pct = + typeof current === "number" && typeof total === "number" && total > 0 + ? Math.min(100, Math.round((current / total) * 100)) + : null; + + return ( +
+
+
+ + + {latest ? eventLabel(latest) : "Starting…"} + +
+ + {formatDuration(elapsedMs)} + +
+ + {pct !== null && ( +
+
+
+ )} + + {events.length > 0 && ( +
+ {events.map((event, i) => ( +
+ {eventLabel(event)} +
+ ))} +
+ )} +
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-status-badge.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-status-badge.tsx new file mode 100644 index 000000000..cfc75ca8a --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/run-status-badge.tsx @@ -0,0 +1,33 @@ +import { Loader2 } from "lucide-react"; +import { Badge } from "@/components/ui/badge"; + +/** Scraper runs: ``running`` (async, in-flight), ``success``, ``error``, ``cancelled``. */ +export function RunStatusBadge({ status }: { status: string }) { + const normalized = status.toLowerCase(); + if (normalized === "running") { + return ( + + + Running + + ); + } + if (normalized === "success") { + return ( + + Success + + ); + } + if (normalized === "error") { + return Error; + } + if (normalized === "cancelled") { + return ( + + Cancelled + + ); + } + return {status}; +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/runs-table.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/runs-table.tsx new file mode 100644 index 000000000..f47bd4572 --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/runs-table.tsx @@ -0,0 +1,199 @@ +"use client"; + +import { useInfiniteQuery } from "@tanstack/react-query"; +import { ChevronDown, ChevronRight, History } from "lucide-react"; +import { Fragment, useState } from "react"; +import { Button } from "@/components/ui/button"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, + SelectValue, +} from "@/components/ui/select"; +import { Spinner } from "@/components/ui/spinner"; +import { + Table, + TableBody, + TableCell, + TableHead, + TableHeader, + TableRow, +} from "@/components/ui/table"; +import { scrapersApiService } from "@/lib/apis/scrapers-api.service"; +import { formatRelativeDate } from "@/lib/format-date"; +import { PLAYGROUND_PLATFORMS } from "@/lib/playground/catalog"; +import { formatCost, formatDuration } from "@/lib/playground/format"; +import { cacheKeys } from "@/lib/query-client/cache-keys"; +import { cn } from "@/lib/utils"; +import { RunDetail } from "./run-detail"; +import { RunStatusBadge } from "./run-status-badge"; + +const PAGE_SIZE = 25; +const ALL = "__all__"; + +const CAPABILITY_OPTIONS = PLAYGROUND_PLATFORMS.flatMap((platform) => + platform.verbs.map((verb) => verb.name) +); + +export function RunsTable({ workspaceId }: { workspaceId: number }) { + const [capability, setCapability] = useState(ALL); + const [status, setStatus] = useState(ALL); + const [expanded, setExpanded] = useState(null); + + const filters = { + capability: capability === ALL ? undefined : capability, + status: status === ALL ? undefined : status, + }; + + const query = useInfiniteQuery({ + queryKey: [...cacheKeys.scrapers.runs(workspaceId), filters], + queryFn: ({ pageParam }) => + scrapersApiService.listRuns(workspaceId, { + limit: PAGE_SIZE, + offset: pageParam, + ...filters, + }), + initialPageParam: 0, + getNextPageParam: (lastPage, allPages) => + lastPage.length === PAGE_SIZE ? allPages.length * PAGE_SIZE : undefined, + // Poll while any visible run is still in flight so it flips to a terminal + // state without a manual refresh; idle otherwise. + refetchInterval: (q) => + q.state.data?.pages.flat().some((r) => r.status === "running") ? 5000 : false, + }); + + const runs = query.data?.pages.flat() ?? []; + + return ( +
+
+

Runs

+

+ Every platform-native API run in this workspace — from the playground, API keys, and + agents. Newest first. +

+
+ +
+ + +
+ + {query.isLoading ? ( +
+ +
+ ) : query.isError ? ( +

+ Couldn't load runs{query.error.message ? `: ${query.error.message}` : "."} +

+ ) : runs.length === 0 ? ( +
+ +

No runs yet

+

+ Run an API from the playground and it will show up here. +

+
+ ) : ( +
+ + + + + API + Origin + Status + Items + Duration + Cost + When + + + + {runs.map((run) => { + const isOpen = expanded === run.id; + return ( + + setExpanded(isOpen ? null : run.id)} + > + + {isOpen ? ( + + ) : ( + + )} + + {run.capability} + {run.origin} + + + + {run.item_count} + + {formatDuration(run.duration_ms)} + + + {formatCost(run.cost_micros)} + + + {formatRelativeDate(run.created_at)} + + + {isOpen && ( + + + + + + )} + + ); + })} + +
+
+ )} + + {query.hasNextPage && ( +
+ +
+ )} +
+ ); +} diff --git a/surfsense_web/app/dashboard/[workspace_id]/playground/components/schema-form.tsx b/surfsense_web/app/dashboard/[workspace_id]/playground/components/schema-form.tsx new file mode 100644 index 000000000..0b3b641ed --- /dev/null +++ b/surfsense_web/app/dashboard/[workspace_id]/playground/components/schema-form.tsx @@ -0,0 +1,215 @@ +"use client"; + +import { ChevronDown } from "lucide-react"; +import { useMemo, useState } from "react"; +import { Input } from "@/components/ui/input"; +import { Label } from "@/components/ui/label"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, + SelectValue, +} from "@/components/ui/select"; +import { Switch } from "@/components/ui/switch"; +import { Textarea } from "@/components/ui/textarea"; +import type { FormField } from "@/lib/playground/json-schema"; +import { cn } from "@/lib/utils"; + +interface SchemaFormProps { + fields: FormField[]; + values: Record; + onChange: (name: string, value: unknown) => void; + disabled?: boolean; + /** Field names flagged by a 422 response, shown with error styling. */ + fieldErrors?: Record; +} + +function FieldControl({ + field, + value, + onChange, + disabled, + invalid, +}: { + field: FormField; + value: unknown; + onChange: (value: unknown) => void; + disabled?: boolean; + invalid?: boolean; +}) { + const id = `field-${field.name}`; + + if (field.kind === "boolean") { + return ( + + ); + } + + if (field.kind === "enum" && field.enumValues) { + return ( + + ); + } + + if (field.kind === "string_array") { + return ( +