diff --git a/.cursor/skills/tdd/SKILL.md b/.cursor/skills/tdd/SKILL.md new file mode 100644 index 000000000..79cdaf999 --- /dev/null +++ b/.cursor/skills/tdd/SKILL.md @@ -0,0 +1,112 @@ +--- +name: tdd +description: Strict Python TDD workflow using pytest (Red-Green-Refactor). +--- + +--- +name: tdd +description: Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development. +--- + +# Test-Driven Development + +## Philosophy + +**Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't. + +**Good tests** are integration-style: they exercise real code paths through public APIs. They describe _what_ the system does, not _how_ it does it. A good test reads like a specification - "user can checkout with valid cart" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure. + +**Bad tests** are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior. + +See [tests.md](tests.md) for examples and [mocking.md](mocking.md) for mocking guidelines. + +## Anti-Pattern: Horizontal Slices + +**DO NOT write all tests first, then all implementation.** This is "horizontal slicing" - treating RED as "write all tests" and GREEN as "write all code." + +This produces **crap tests**: + +- Tests written in bulk test _imagined_ behavior, not _actual_ behavior +- You end up testing the _shape_ of things (data structures, function signatures) rather than user-facing behavior +- Tests become insensitive to real changes - they pass when behavior breaks, fail when behavior is fine +- You outrun your headlights, committing to test structure before understanding the implementation + +**Correct approach**: Vertical slices via tracer bullets. One test → one implementation → repeat. Each test responds to what you learned from the previous cycle. Because you just wrote the code, you know exactly what behavior matters and how to verify it. + +``` +WRONG (horizontal): + RED: test1, test2, test3, test4, test5 + GREEN: impl1, impl2, impl3, impl4, impl5 + +RIGHT (vertical): + RED→GREEN: test1→impl1 + RED→GREEN: test2→impl2 + RED→GREEN: test3→impl3 + ... +``` + +## Workflow + +### 1. Planning + +Before writing any code: + +- [ ] Confirm with user what interface changes are needed +- [ ] Confirm with user which behaviors to test (prioritize) +- [ ] Identify opportunities for [deep modules](deep-modules.md) (small interface, deep implementation) +- [ ] Design interfaces for [testability](interface-design.md) +- [ ] List the behaviors to test (not implementation steps) +- [ ] Get user approval on the plan + +Ask: "What should the public interface look like? Which behaviors are most important to test?" + +**You can't test everything.** Confirm with the user exactly which behaviors matter most. Focus testing effort on critical paths and complex logic, not every possible edge case. + +### 2. Tracer Bullet + +Write ONE test that confirms ONE thing about the system: + +``` +RED: Write test for first behavior → test fails +GREEN: Write minimal code to pass → test passes +``` + +This is your tracer bullet - proves the path works end-to-end. + +### 3. Incremental Loop + +For each remaining behavior: + +``` +RED: Write next test → fails +GREEN: Minimal code to pass → passes +``` + +Rules: + +- One test at a time +- Only enough code to pass current test +- Don't anticipate future tests +- Keep tests focused on observable behavior + +### 4. Refactor + +After all tests pass, look for [refactor candidates](refactoring.md): + +- [ ] Extract duplication +- [ ] Deepen modules (move complexity behind simple interfaces) +- [ ] Apply SOLID principles where natural +- [ ] Consider what new code reveals about existing code +- [ ] Run tests after each refactor step + +**Never refactor while RED.** Get to GREEN first. + +## Checklist Per Cycle + +``` +[ ] Test describes behavior, not implementation +[ ] Test uses public interface only +[ ] Test would survive internal refactor +[ ] Code is minimal for this test +[ ] No speculative features added +``` \ No newline at end of file diff --git a/.cursor/skills/tdd/deep-modules.md b/.cursor/skills/tdd/deep-modules.md new file mode 100644 index 000000000..13a1b9106 --- /dev/null +++ b/.cursor/skills/tdd/deep-modules.md @@ -0,0 +1,33 @@ +# Deep Modules + +From "A Philosophy of Software Design": + +**Deep module** = small interface + lots of implementation + +``` +┌─────────────────────┐ +│ Small Interface │ ← Few methods, simple params +├─────────────────────┤ +│ │ +│ │ +│ Deep Implementation│ ← Complex logic hidden +│ │ +│ │ +└─────────────────────┘ +``` + +**Shallow module** = large interface + little implementation (avoid) + +``` +┌─────────────────────────────────┐ +│ Large Interface │ ← Many methods, complex params +├─────────────────────────────────┤ +│ Thin Implementation │ ← Just passes through +└─────────────────────────────────┘ +``` + +When designing interfaces, ask: + +- Can I reduce the number of methods? +- Can I simplify the parameters? +- Can I hide more complexity inside? \ No newline at end of file diff --git a/.cursor/skills/tdd/interface-design.md b/.cursor/skills/tdd/interface-design.md new file mode 100644 index 000000000..2fff0021f --- /dev/null +++ b/.cursor/skills/tdd/interface-design.md @@ -0,0 +1,33 @@ +# Interface Design for Testability + +Good interfaces make testing natural: + +1. **Accept dependencies, don't create them** +```python +# Testable +def process_order(order, payment_gateway): + pass + +# Hard to test +def process_order(order): + gateway = StripeGateway() + +``` + + +2. **Return results, don't produce side effects** +```python +# Testable +def calculate_discount(cart) -> float: + return discount + +# Hard to test +def apply_discount(cart) -> None: + cart.total -= discount + +``` + + +3. **Small surface area** +* Fewer methods = fewer tests needed +* Fewer params = simpler test setup diff --git a/.cursor/skills/tdd/mocking.md b/.cursor/skills/tdd/mocking.md new file mode 100644 index 000000000..15e9a116c --- /dev/null +++ b/.cursor/skills/tdd/mocking.md @@ -0,0 +1,69 @@ + +# When to Mock + +Mock at **system boundaries** only: + +* External APIs (payment, email, etc.) +* Databases (sometimes - prefer test DB) +* Time/randomness +* File system (sometimes) + +Don't mock: + +* Your own classes/modules +* Internal collaborators +* Anything you control + +## Designing for Mockability + +At system boundaries, design interfaces that are easy to mock: + +**1. Use dependency injection** + +Pass external dependencies in rather than creating them internally: + +```python +import os + +# Easy to mock +def process_payment(order, payment_client): + return payment_client.charge(order.total) + +# Hard to mock +def process_payment(order): + client = StripeClient(os.getenv("STRIPE_KEY")) + return client.charge(order.total) + +``` + +**2. Prefer SDK-style interfaces over generic fetchers** + +Create specific functions for each external operation instead of one generic function with conditional logic: + +```python +import requests + +# GOOD: Each function is independently mockable +class UserAPI: + def get_user(self, user_id): + return requests.get(f"/users/{user_id}") + + def get_orders(self, user_id): + return requests.get(f"/users/{user_id}/orders") + + def create_order(self, data): + return requests.post("/orders", json=data) + +# BAD: Mocking requires conditional logic inside the mock +class GenericAPI: + def fetch(self, endpoint, method="GET", data=None): + return requests.request(method, endpoint, json=data) + +``` + +The SDK approach means: + +* Each mock returns one specific shape +* No conditional logic in test setup +* Easier to see which endpoints a test exercises +* Type safety per endpoint \ No newline at end of file diff --git a/.cursor/skills/tdd/refactoring.md b/.cursor/skills/tdd/refactoring.md new file mode 100644 index 000000000..e184a1518 --- /dev/null +++ b/.cursor/skills/tdd/refactoring.md @@ -0,0 +1,10 @@ +# Refactor Candidates + +After TDD cycle, look for: + +- **Duplication** → Extract function/class +- **Long methods** → Break into private helpers (keep tests on public interface) +- **Shallow modules** → Combine or deepen +- **Feature envy** → Move logic to where data lives +- **Primitive obsession** → Introduce value objects +- **Existing code** the new code reveals as problematic \ No newline at end of file diff --git a/.cursor/skills/tdd/tests.md b/.cursor/skills/tdd/tests.md new file mode 100644 index 000000000..b454a6956 --- /dev/null +++ b/.cursor/skills/tdd/tests.md @@ -0,0 +1,60 @@ +# Good and Bad Tests + +## Good Tests + +**Integration-style**: Test through real interfaces, not mocks of internal parts. + +```python +# GOOD: Tests observable behavior +def test_user_can_checkout_with_valid_cart(): + cart = create_cart() + cart.add(product) + result = checkout(cart, payment_method) + assert result.status == "confirmed" + +``` + +Characteristics: + +* Tests behavior users/callers care about +* Uses public API only +* Survives internal refactors +* Describes WHAT, not HOW +* One logical assertion per test + +## Bad Tests + +**Implementation-detail tests**: Coupled to internal structure. + +```python +# BAD: Tests implementation details +def test_checkout_calls_payment_service_process(): + mock_payment = MagicMock() + checkout(cart, mock_payment) + mock_payment.process.assert_called_with(cart.total) + +``` + +Red flags: + +* Mocking internal collaborators +* Testing private methods +* Asserting on call counts/order +* Test breaks when refactoring without behavior change +* Test name describes HOW not WHAT +* Verifying through external means instead of interface + +```python +# BAD: Bypasses interface to verify +def test_create_user_saves_to_database(): + create_user({"name": "Alice"}) + row = db.query("SELECT * FROM users WHERE name = ?", ["Alice"]) + assert row is not None + +# GOOD: Verifies through interface +def test_create_user_makes_user_retrievable(): + user = create_user({"name": "Alice"}) + retrieved = get_user(user.id) + assert retrieved.name == "Alice" + +``` \ No newline at end of file diff --git a/surfsense_backend/.env.example b/surfsense_backend/.env.example index 9aa4b0b34..1aff5f3d9 100644 --- a/surfsense_backend/.env.example +++ b/surfsense_backend/.env.example @@ -167,37 +167,21 @@ LANGSMITH_ENDPOINT=https://api.smith.langchain.com LANGSMITH_API_KEY=lsv2_pt_..... LANGSMITH_PROJECT=surfsense -# Uvicorn Server Configuration -# Full documentation for Uvicorn options can be found at: https://www.uvicorn.org/#command-line-options -UVICORN_HOST="0.0.0.0" -UVICORN_PORT=8000 -UVICORN_LOG_LEVEL=info +# Agent Specific Configuration +# Daytona Sandbox (secure cloud code execution for deep agent) +# Set DAYTONA_SANDBOX_ENABLED=TRUE to give the agent an isolated execute tool +DAYTONA_SANDBOX_ENABLED=TRUE +DAYTONA_API_KEY=dtn_asdasfasfafas +DAYTONA_API_URL=https://app.daytona.io/api +DAYTONA_TARGET=us +# Directory for locally-persisted sandbox files (after sandbox deletion) +SANDBOX_FILES_DIR=sandbox_files -# OPTIONAL: Advanced Uvicorn Options (uncomment to use) -# UVICORN_PROXY_HEADERS=false -# UVICORN_FORWARDED_ALLOW_IPS="127.0.0.1" -# UVICORN_WORKERS=1 -# UVICORN_ACCESS_LOG=true -# UVICORN_LOOP="auto" -# UVICORN_HTTP="auto" -# UVICORN_WS="auto" -# UVICORN_LIFESPAN="auto" -# UVICORN_LOG_CONFIG="" -# UVICORN_SERVER_HEADER=true -# UVICORN_DATE_HEADER=true -# UVICORN_LIMIT_CONCURRENCY= -# UVICORN_LIMIT_MAX_REQUESTS= -# UVICORN_TIMEOUT_KEEP_ALIVE=5 -# UVICORN_TIMEOUT_NOTIFY=30 -# UVICORN_SSL_KEYFILE="" -# UVICORN_SSL_CERTFILE="" -# UVICORN_SSL_KEYFILE_PASSWORD="" -# UVICORN_SSL_VERSION="" -# UVICORN_SSL_CERT_REQS="" -# UVICORN_SSL_CA_CERTS="" -# UVICORN_SSL_CIPHERS="" -# UVICORN_HEADERS="" -# UVICORN_USE_COLORS=true -# UVICORN_UDS="" -# UVICORN_FD="" -# UVICORN_ROOT_PATH="" + +# ============================================================ +# Testing (optional — all have sensible defaults) +# ============================================================ +# TEST_BACKEND_URL=http://localhost:8000 +# TEST_DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:5432/surfsense +# TEST_USER_EMAIL=testuser@surfsense.com +# TEST_USER_PASSWORD=testpassword123 diff --git a/surfsense_backend/.gitignore b/surfsense_backend/.gitignore index 13a523310..0b1374b29 100644 --- a/surfsense_backend/.gitignore +++ b/surfsense_backend/.gitignore @@ -6,6 +6,7 @@ __pycache__/ .flashrank_cache surf_new_backend.egg-info/ podcasts/ +sandbox_files/ temp_audio/ celerybeat-schedule* celerybeat-schedule.* diff --git a/surfsense_backend/app/agents/new_chat/chat_deepagent.py b/surfsense_backend/app/agents/new_chat/chat_deepagent.py index f4af16b78..5fcb8236d 100644 --- a/surfsense_backend/app/agents/new_chat/chat_deepagent.py +++ b/surfsense_backend/app/agents/new_chat/chat_deepagent.py @@ -10,6 +10,7 @@ from collections.abc import Sequence from typing import Any from deepagents import create_deep_agent +from deepagents.backends.protocol import SandboxBackendProtocol from langchain_core.language_models import BaseChatModel from langchain_core.tools import BaseTool from langgraph.types import Checkpointer @@ -128,6 +129,7 @@ async def create_surfsense_deep_agent( additional_tools: Sequence[BaseTool] | None = None, firecrawl_api_key: str | None = None, thread_visibility: ChatVisibility | None = None, + sandbox_backend: SandboxBackendProtocol | None = None, ): """ Create a SurfSense deep agent with configurable tools and prompts. @@ -167,6 +169,9 @@ async def create_surfsense_deep_agent( These are always added regardless of enabled/disabled settings. firecrawl_api_key: Optional Firecrawl API key for premium web scraping. Falls back to Chromium/Trafilatura if not provided. + sandbox_backend: Optional sandbox backend (e.g. DaytonaSandbox) for + secure code execution. When provided, the agent gets an + isolated ``execute`` tool for running shell commands. Returns: CompiledStateGraph: The configured deep agent @@ -277,19 +282,26 @@ async def create_surfsense_deep_agent( ) # Build system prompt based on agent_config + _sandbox_enabled = sandbox_backend is not None if agent_config is not None: - # Use configurable prompt with settings from NewLLMConfig system_prompt = build_configurable_system_prompt( custom_system_instructions=agent_config.system_instructions, use_default_system_instructions=agent_config.use_default_system_instructions, citations_enabled=agent_config.citations_enabled, thread_visibility=thread_visibility, + sandbox_enabled=_sandbox_enabled, ) else: system_prompt = build_surfsense_system_prompt( thread_visibility=thread_visibility, + sandbox_enabled=_sandbox_enabled, ) + # Build optional kwargs for the deep agent + deep_agent_kwargs: dict[str, Any] = {} + if sandbox_backend is not None: + deep_agent_kwargs["backend"] = sandbox_backend + # Create the deep agent with system prompt and checkpointer # Note: TodoListMiddleware (write_todos) is included by default in create_deep_agent agent = create_deep_agent( @@ -298,6 +310,7 @@ async def create_surfsense_deep_agent( system_prompt=system_prompt, context_schema=SurfSenseContextSchema, checkpointer=checkpointer, + **deep_agent_kwargs, ) return agent diff --git a/surfsense_backend/app/agents/new_chat/sandbox.py b/surfsense_backend/app/agents/new_chat/sandbox.py new file mode 100644 index 000000000..3814a5208 --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/sandbox.py @@ -0,0 +1,266 @@ +""" +Daytona sandbox provider for SurfSense deep agent. + +Manages the lifecycle of sandboxed code execution environments. +Each conversation thread gets its own isolated sandbox instance +via the Daytona cloud API, identified by labels. + +Files created during a session are persisted to local storage before +the sandbox is deleted so they remain downloadable after cleanup. +""" + +from __future__ import annotations + +import asyncio +import logging +import os +import shutil +from pathlib import Path + +from daytona import ( + CreateSandboxFromSnapshotParams, + Daytona, + DaytonaConfig, + SandboxState, +) +from daytona.common.errors import DaytonaError +from deepagents.backends.protocol import ExecuteResponse +from langchain_daytona import DaytonaSandbox + +logger = logging.getLogger(__name__) + + +class _TimeoutAwareSandbox(DaytonaSandbox): + """DaytonaSandbox subclass that accepts the per-command *timeout* + kwarg required by the deepagents middleware. + + The upstream ``langchain-daytona`` ``execute()`` ignores timeout, + so deepagents raises *"This sandbox backend does not support + per-command timeout overrides"* on every first call. This thin + wrapper forwards the parameter to the Daytona SDK. + """ + + def execute(self, command: str, *, timeout: int | None = None) -> ExecuteResponse: + t = timeout if timeout is not None else self._timeout + result = self._sandbox.process.exec(command, timeout=t) + return ExecuteResponse( + output=result.result, + exit_code=result.exit_code, + truncated=False, + ) + + async def aexecute( + self, command: str, *, timeout: int | None = None + ) -> ExecuteResponse: # type: ignore[override] + return await asyncio.to_thread(self.execute, command, timeout=timeout) + + +_daytona_client: Daytona | None = None +THREAD_LABEL_KEY = "surfsense_thread" + + +def is_sandbox_enabled() -> bool: + return os.environ.get("DAYTONA_SANDBOX_ENABLED", "FALSE").upper() == "TRUE" + + +def _get_client() -> Daytona: + global _daytona_client + if _daytona_client is None: + config = DaytonaConfig( + api_key=os.environ.get("DAYTONA_API_KEY", ""), + api_url=os.environ.get("DAYTONA_API_URL", "https://app.daytona.io/api"), + target=os.environ.get("DAYTONA_TARGET", "us"), + ) + _daytona_client = Daytona(config) + return _daytona_client + + +def _find_or_create(thread_id: str) -> _TimeoutAwareSandbox: + """Find an existing sandbox for *thread_id*, or create a new one. + + If an existing sandbox is found but is stopped/archived, it will be + restarted automatically before returning. + """ + client = _get_client() + labels = {THREAD_LABEL_KEY: thread_id} + + try: + sandbox = client.find_one(labels=labels) + logger.info("Found existing sandbox %s (state=%s)", sandbox.id, sandbox.state) + + if sandbox.state in ( + SandboxState.STOPPED, + SandboxState.STOPPING, + SandboxState.ARCHIVED, + ): + logger.info("Starting stopped sandbox %s …", sandbox.id) + sandbox.start(timeout=60) + logger.info("Sandbox %s is now started", sandbox.id) + elif sandbox.state in ( + SandboxState.ERROR, + SandboxState.BUILD_FAILED, + SandboxState.DESTROYED, + ): + logger.warning( + "Sandbox %s in unrecoverable state %s — creating a new one", + sandbox.id, + sandbox.state, + ) + sandbox = client.create( + CreateSandboxFromSnapshotParams(language="python", labels=labels) + ) + logger.info("Created replacement sandbox: %s", sandbox.id) + elif sandbox.state != SandboxState.STARTED: + sandbox.wait_for_sandbox_start(timeout=60) + + except Exception: + logger.info("No existing sandbox for thread %s — creating one", thread_id) + sandbox = client.create( + CreateSandboxFromSnapshotParams(language="python", labels=labels) + ) + logger.info("Created new sandbox: %s", sandbox.id) + + return _TimeoutAwareSandbox(sandbox=sandbox) + + +async def get_or_create_sandbox(thread_id: int | str) -> _TimeoutAwareSandbox: + """Get or create a sandbox for a conversation thread. + + Uses the thread_id as a label so the same sandbox persists + across multiple messages within the same conversation. + + Args: + thread_id: The conversation thread identifier. + + Returns: + DaytonaSandbox connected to the sandbox. + """ + return await asyncio.to_thread(_find_or_create, str(thread_id)) + + +async def delete_sandbox(thread_id: int | str) -> None: + """Delete the sandbox for a conversation thread.""" + + def _delete() -> None: + client = _get_client() + labels = {THREAD_LABEL_KEY: str(thread_id)} + try: + sandbox = client.find_one(labels=labels) + except DaytonaError: + logger.debug( + "No sandbox to delete for thread %s (already removed)", thread_id + ) + return + try: + client.delete(sandbox) + logger.info("Sandbox deleted: %s", sandbox.id) + except Exception: + logger.warning( + "Failed to delete sandbox for thread %s", + thread_id, + exc_info=True, + ) + + await asyncio.to_thread(_delete) + + +# --------------------------------------------------------------------------- +# Local file persistence +# --------------------------------------------------------------------------- + + +def _get_sandbox_files_dir() -> Path: + return Path(os.environ.get("SANDBOX_FILES_DIR", "sandbox_files")) + + +def _local_path_for(thread_id: int | str, sandbox_path: str) -> Path: + """Map a sandbox-internal absolute path to a local filesystem path.""" + relative = sandbox_path.lstrip("/") + return _get_sandbox_files_dir() / str(thread_id) / relative + + +def get_local_sandbox_file(thread_id: int | str, sandbox_path: str) -> bytes | None: + """Read a previously-persisted sandbox file from local storage. + + Returns the file bytes, or *None* if the file does not exist locally. + """ + local = _local_path_for(thread_id, sandbox_path) + if local.is_file(): + return local.read_bytes() + return None + + +def delete_local_sandbox_files(thread_id: int | str) -> None: + """Remove all locally-persisted sandbox files for a thread.""" + thread_dir = _get_sandbox_files_dir() / str(thread_id) + if thread_dir.is_dir(): + shutil.rmtree(thread_dir, ignore_errors=True) + logger.info("Deleted local sandbox files for thread %s", thread_id) + + +async def persist_and_delete_sandbox( + thread_id: int | str, + sandbox_file_paths: list[str], +) -> None: + """Download sandbox files to local storage, then delete the sandbox. + + Each file in *sandbox_file_paths* is downloaded from the Daytona + sandbox and saved under ``{SANDBOX_FILES_DIR}/{thread_id}/…``. + Per-file errors are logged but do **not** prevent the sandbox from + being deleted — freeing Daytona storage is the priority. + """ + + def _persist_and_delete() -> None: + client = _get_client() + labels = {THREAD_LABEL_KEY: str(thread_id)} + + try: + sandbox = client.find_one(labels=labels) + except Exception: + logger.info( + "No sandbox found for thread %s — nothing to persist", thread_id + ) + return + + # Ensure the sandbox is running so we can download files + if sandbox.state != SandboxState.STARTED: + try: + sandbox.start(timeout=60) + except Exception: + logger.warning( + "Could not start sandbox %s for file download — deleting anyway", + sandbox.id, + exc_info=True, + ) + try: + client.delete(sandbox) + except Exception: + pass + return + + for path in sandbox_file_paths: + try: + content: bytes = sandbox.fs.download_file(path) + local = _local_path_for(thread_id, path) + local.parent.mkdir(parents=True, exist_ok=True) + local.write_bytes(content) + logger.info("Persisted sandbox file %s → %s", path, local) + except Exception: + logger.warning( + "Failed to persist sandbox file %s for thread %s", + path, + thread_id, + exc_info=True, + ) + + try: + client.delete(sandbox) + logger.info("Sandbox deleted after file persistence: %s", sandbox.id) + except Exception: + logger.warning( + "Failed to delete sandbox %s after persistence", + sandbox.id, + exc_info=True, + ) + + await asyncio.to_thread(_persist_and_delete) diff --git a/surfsense_backend/app/agents/new_chat/system_prompt.py b/surfsense_backend/app/agents/new_chat/system_prompt.py index c8dcf5154..1ca036c40 100644 --- a/surfsense_backend/app/agents/new_chat/system_prompt.py +++ b/surfsense_backend/app/agents/new_chat/system_prompt.py @@ -645,6 +645,87 @@ However, from your video learning, it's important to note that asyncio is not su """ +# Sandbox / code execution instructions — appended when sandbox backend is enabled. +# Inspired by Claude's computer-use prompt, scoped to code execution & data analytics. +SANDBOX_EXECUTION_INSTRUCTIONS = """ + +You have access to a secure, isolated Linux sandbox environment for running code and shell commands. +This gives you the `execute` tool alongside the standard filesystem tools (`ls`, `read_file`, `write_file`, `edit_file`, `glob`, `grep`). + +## CRITICAL — CODE-FIRST RULE + +ALWAYS prefer executing code over giving a text-only response when the user's request involves ANY of the following: +- **Creating a chart, plot, graph, or visualization** → Write Python code and generate the actual file. NEVER describe percentages or data in text and offer to "paste into Excel". Just produce the chart. +- **Data analysis, statistics, or computation** → Write code to compute the answer. Do not do math by hand in text. +- **Generating or transforming files** (CSV, PDF, images, etc.) → Write code to create the file. +- **Running, testing, or debugging code** → Execute it in the sandbox. + +This applies even when you first retrieve data from the knowledge base. After `search_knowledge_base` returns relevant data, **immediately proceed to write and execute code** if the user's request matches any of the categories above. Do NOT stop at a text summary and wait for the user to ask you to "use Python" — that extra round-trip is a poor experience. + +Example (CORRECT): + User: "Create a pie chart of my benefits" + → 1. search_knowledge_base → retrieve benefits data + → 2. Immediately execute Python code (matplotlib) to generate the pie chart + → 3. Return the downloadable file + brief description + +Example (WRONG): + User: "Create a pie chart of my benefits" + → 1. search_knowledge_base → retrieve benefits data + → 2. Print a text table with percentages and ask the user if they want a chart ← NEVER do this + +## When to Use Code Execution + +Use the sandbox when the task benefits from actually running code rather than just describing it: +- **Data analysis**: Load CSVs/JSON, compute statistics, filter/aggregate data, pivot tables +- **Visualization**: Generate charts and plots (matplotlib, plotly, seaborn) +- **Calculations**: Math, financial modeling, unit conversions, simulations +- **Code validation**: Run and test code snippets the user provides or asks about +- **File processing**: Parse, transform, or convert data files +- **Quick prototyping**: Demonstrate working code for the user's problem +- **Package exploration**: Install and test libraries the user is evaluating + +## When NOT to Use Code Execution + +Do not use the sandbox for: +- Answering factual questions from your own knowledge +- Summarizing or explaining concepts +- Simple formatting or text generation tasks +- Tasks that don't require running code to answer + +## Package Management + +- Use `pip install ` to install Python packages as needed +- Common data/analytics packages (pandas, numpy, matplotlib, scipy, scikit-learn) may need to be installed on first use +- Always verify a package installed successfully before using it + +## Working Guidelines + +- **Working directory**: The shell starts in the sandbox user's home directory (e.g. `/home/daytona`). Use **relative paths** or `/tmp/` for all files you create. NEVER write directly to `/home/` — that is the parent directory and is not writable. Use `pwd` if you need to discover the current working directory. +- **Iterative approach**: For complex tasks, break work into steps — write code, run it, check output, refine +- **Error handling**: If code fails, read the error, fix the issue, and retry. Don't just report the error without attempting a fix. +- **Show results**: When generating plots or outputs, present the key findings directly in your response. For plots, save to a file and describe the results. +- **Be efficient**: Install packages once per session. Combine related commands when possible. +- **Large outputs**: If command output is very large, use `head`, `tail`, or save to a file and read selectively. + +## Sharing Generated Files + +When your code creates output files (images, CSVs, PDFs, etc.) in the sandbox: +- **Print the absolute path** at the end of your script so the user can download the file. Example: `print("SANDBOX_FILE: /tmp/chart.png")` +- **DO NOT call `display_image`** for files created inside the sandbox. Sandbox files are not accessible via public URLs, so `display_image` will always show "Image not available". The frontend automatically renders a download button from the `SANDBOX_FILE:` marker. +- You can output multiple files, one per line: `print("SANDBOX_FILE: /tmp/report.csv")`, `print("SANDBOX_FILE: /tmp/chart.png")` +- Always describe what the file contains in your response text so the user knows what they are downloading. +- IMPORTANT: Every `execute` call that saves a file MUST print the `SANDBOX_FILE: ` marker. Without it the user cannot download the file. + +## Data Analytics Best Practices + +When the user asks you to analyze data: +1. First, inspect the data structure (`head`, `shape`, `dtypes`, `describe()`) +2. Clean and validate before computing (handle nulls, check types) +3. Perform the analysis and present results clearly +4. Offer follow-up insights or visualizations when appropriate + +""" + # Anti-citation prompt - used when citations are disabled # This explicitly tells the model NOT to include citations SURFSENSE_NO_CITATION_INSTRUCTIONS = """ @@ -670,6 +751,7 @@ Your goal is to provide helpful, informative answers in a clean, readable format def build_surfsense_system_prompt( today: datetime | None = None, thread_visibility: ChatVisibility | None = None, + sandbox_enabled: bool = False, ) -> str: """ Build the SurfSense system prompt with default settings. @@ -678,10 +760,12 @@ def build_surfsense_system_prompt( - Default system instructions - Tools instructions (always included) - Citation instructions enabled + - Sandbox execution instructions (when sandbox_enabled=True) Args: today: Optional datetime for today's date (defaults to current UTC date) thread_visibility: Optional; when provided, used for conditional prompt (e.g. private vs shared memory wording). Defaults to private behavior when None. + sandbox_enabled: Whether the sandbox backend is active (adds code execution instructions). Returns: Complete system prompt string @@ -691,7 +775,13 @@ def build_surfsense_system_prompt( system_instructions = _get_system_instructions(visibility, today) tools_instructions = _get_tools_instructions(visibility) citation_instructions = SURFSENSE_CITATION_INSTRUCTIONS - return system_instructions + tools_instructions + citation_instructions + sandbox_instructions = SANDBOX_EXECUTION_INSTRUCTIONS if sandbox_enabled else "" + return ( + system_instructions + + tools_instructions + + citation_instructions + + sandbox_instructions + ) def build_configurable_system_prompt( @@ -700,14 +790,16 @@ def build_configurable_system_prompt( citations_enabled: bool = True, today: datetime | None = None, thread_visibility: ChatVisibility | None = None, + sandbox_enabled: bool = False, ) -> str: """ Build a configurable SurfSense system prompt based on NewLLMConfig settings. - The prompt is composed of three parts: + The prompt is composed of up to four parts: 1. System Instructions - either custom or default SURFSENSE_SYSTEM_INSTRUCTIONS 2. Tools Instructions - always included (SURFSENSE_TOOLS_INSTRUCTIONS) 3. Citation Instructions - either SURFSENSE_CITATION_INSTRUCTIONS or SURFSENSE_NO_CITATION_INSTRUCTIONS + 4. Sandbox Execution Instructions - when sandbox_enabled=True Args: custom_system_instructions: Custom system instructions to use. If empty/None and @@ -719,6 +811,7 @@ def build_configurable_system_prompt( anti-citation instructions (False). today: Optional datetime for today's date (defaults to current UTC date) thread_visibility: Optional; when provided, used for conditional prompt (e.g. private vs shared memory wording). Defaults to private behavior when None. + sandbox_enabled: Whether the sandbox backend is active (adds code execution instructions). Returns: Complete system prompt string @@ -727,7 +820,6 @@ def build_configurable_system_prompt( # Determine system instructions if custom_system_instructions and custom_system_instructions.strip(): - # Use custom instructions, injecting the date placeholder if present system_instructions = custom_system_instructions.format( resolved_today=resolved_today ) @@ -735,7 +827,6 @@ def build_configurable_system_prompt( visibility = thread_visibility or ChatVisibility.PRIVATE system_instructions = _get_system_instructions(visibility, today) else: - # No system instructions (edge case) system_instructions = "" # Tools instructions: conditional on thread_visibility (private vs shared memory wording) @@ -748,7 +839,14 @@ def build_configurable_system_prompt( else SURFSENSE_NO_CITATION_INSTRUCTIONS ) - return system_instructions + tools_instructions + citation_instructions + sandbox_instructions = SANDBOX_EXECUTION_INSTRUCTIONS if sandbox_enabled else "" + + return ( + system_instructions + + tools_instructions + + citation_instructions + + sandbox_instructions + ) def get_default_system_instructions() -> str: diff --git a/surfsense_backend/app/agents/new_chat/tools/google_drive/__init__.py b/surfsense_backend/app/agents/new_chat/tools/google_drive/__init__.py new file mode 100644 index 000000000..9c63bceb1 --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/tools/google_drive/__init__.py @@ -0,0 +1,11 @@ +from app.agents.new_chat.tools.google_drive.create_file import ( + create_create_google_drive_file_tool, +) +from app.agents.new_chat.tools.google_drive.trash_file import ( + create_delete_google_drive_file_tool, +) + +__all__ = [ + "create_create_google_drive_file_tool", + "create_delete_google_drive_file_tool", +] diff --git a/surfsense_backend/app/agents/new_chat/tools/google_drive/create_file.py b/surfsense_backend/app/agents/new_chat/tools/google_drive/create_file.py new file mode 100644 index 000000000..af93ddc8f --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/tools/google_drive/create_file.py @@ -0,0 +1,239 @@ +import logging +from typing import Any, Literal + +from googleapiclient.errors import HttpError +from langchain_core.tools import tool +from langgraph.types import interrupt +from sqlalchemy.ext.asyncio import AsyncSession + +from app.connectors.google_drive.client import GoogleDriveClient +from app.connectors.google_drive.file_types import GOOGLE_DOC, GOOGLE_SHEET +from app.services.google_drive import GoogleDriveToolMetadataService + +logger = logging.getLogger(__name__) + +_MIME_MAP: dict[str, str] = { + "google_doc": GOOGLE_DOC, + "google_sheet": GOOGLE_SHEET, +} + + +def create_create_google_drive_file_tool( + db_session: AsyncSession | None = None, + search_space_id: int | None = None, + user_id: str | None = None, +): + @tool + async def create_google_drive_file( + name: str, + file_type: Literal["google_doc", "google_sheet"], + content: str | None = None, + ) -> dict[str, Any]: + """Create a new Google Doc or Google Sheet in Google Drive. + + Use this tool when the user explicitly asks to create a new document + or spreadsheet in Google Drive. + + Args: + name: The file name (without extension). + file_type: Either "google_doc" or "google_sheet". + content: Optional initial content. For google_doc, provide markdown text. + For google_sheet, provide CSV-formatted text. + + Returns: + Dictionary with: + - status: "success", "rejected", or "error" + - file_id: Google Drive file ID (if success) + - name: File name (if success) + - web_view_link: URL to open the file (if success) + - message: Result message + + IMPORTANT: + - If status is "rejected", the user explicitly declined the action. + Respond with a brief acknowledgment and do NOT retry or suggest alternatives. + - If status is "insufficient_permissions", the connector lacks the required OAuth scope. + Inform the user they need to re-authenticate and do NOT retry the action. + + Examples: + - "Create a Google Doc called 'Meeting Notes'" + - "Create a spreadsheet named 'Budget 2026' with some sample data" + """ + logger.info( + 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: + return { + "status": "error", + "message": "Google Drive tool not properly configured. Please contact support.", + } + + if file_type not in _MIME_MAP: + return { + "status": "error", + "message": f"Unsupported file type '{file_type}'. Use 'google_doc' or 'google_sheet'.", + } + + try: + metadata_service = GoogleDriveToolMetadataService(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"]} + + logger.info( + f"Requesting approval for creating Google Drive file: name='{name}', type='{file_type}'" + ) + approval = interrupt( + { + "type": "google_drive_file_creation", + "action": { + "tool": "create_google_drive_file", + "params": { + "name": name, + "file_type": file_type, + "content": content, + "connector_id": None, + "parent_folder_id": None, + }, + }, + "context": context, + } + ) + + decisions_raw = ( + approval.get("decisions", []) if isinstance(approval, dict) else [] + ) + decisions = ( + decisions_raw if isinstance(decisions_raw, list) else [decisions_raw] + ) + decisions = [d for d in decisions if isinstance(d, dict)] + if not decisions: + logger.warning("No approval decision received") + return {"status": "error", "message": "No approval decision received"} + + decision = decisions[0] + decision_type = decision.get("type") or decision.get("decision_type") + logger.info(f"User decision: {decision_type}") + + if decision_type == "reject": + return { + "status": "rejected", + "message": "User declined. The file was not created. Do not ask again or suggest alternatives.", + } + + final_params: dict[str, Any] = {} + edited_action = decision.get("edited_action") + if isinstance(edited_action, dict): + edited_args = edited_action.get("args") + if isinstance(edited_args, dict): + final_params = edited_args + elif isinstance(decision.get("args"), dict): + final_params = decision["args"] + + final_name = final_params.get("name", name) + final_file_type = final_params.get("file_type", file_type) + final_content = final_params.get("content", content) + final_connector_id = final_params.get("connector_id") + final_parent_folder_id = final_params.get("parent_folder_id") + + if not final_name or not final_name.strip(): + return {"status": "error", "message": "File name cannot be empty."} + + mime_type = _MIME_MAP.get(final_file_type) + if not mime_type: + return { + "status": "error", + "message": f"Unsupported file type '{final_file_type}'.", + } + + from sqlalchemy.future import select + + from app.db import SearchSourceConnector, SearchSourceConnectorType + + if final_connector_id is not None: + 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.GOOGLE_DRIVE_CONNECTOR, + ) + ) + connector = result.scalars().first() + if not connector: + return { + "status": "error", + "message": "Selected Google Drive connector is invalid or has been disconnected.", + } + actual_connector_id = connector.id + else: + result = await db_session.execute( + select(SearchSourceConnector).filter( + SearchSourceConnector.search_space_id == search_space_id, + SearchSourceConnector.user_id == user_id, + SearchSourceConnector.connector_type + == SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR, + ) + ) + connector = result.scalars().first() + if not connector: + return { + "status": "error", + "message": "No Google Drive connector found. Please connect Google Drive in your workspace settings.", + } + actual_connector_id = connector.id + + logger.info( + f"Creating Google Drive file: name='{final_name}', type='{final_file_type}', connector={actual_connector_id}" + ) + client = GoogleDriveClient( + session=db_session, connector_id=actual_connector_id + ) + try: + created = await client.create_file( + name=final_name, + mime_type=mime_type, + parent_folder_id=final_parent_folder_id, + content=final_content, + ) + except HttpError as http_err: + if http_err.resp.status == 403: + logger.warning( + f"Insufficient permissions for connector {actual_connector_id}: {http_err}" + ) + return { + "status": "insufficient_permissions", + "connector_id": actual_connector_id, + "message": "This Google Drive account needs additional permissions. Please re-authenticate.", + } + raise + + logger.info( + f"Google Drive file created: id={created.get('id')}, name={created.get('name')}" + ) + return { + "status": "success", + "file_id": created.get("id"), + "name": created.get("name"), + "web_view_link": created.get("webViewLink"), + "message": f"Successfully created '{created.get('name')}' in Google Drive.", + } + + except Exception as e: + from langgraph.errors import GraphInterrupt + + if isinstance(e, GraphInterrupt): + raise + + logger.error(f"Error creating Google Drive file: {e}", exc_info=True) + return { + "status": "error", + "message": "Something went wrong while creating the file. Please try again.", + } + + return create_google_drive_file diff --git a/surfsense_backend/app/agents/new_chat/tools/google_drive/trash_file.py b/surfsense_backend/app/agents/new_chat/tools/google_drive/trash_file.py new file mode 100644 index 000000000..917ba3376 --- /dev/null +++ b/surfsense_backend/app/agents/new_chat/tools/google_drive/trash_file.py @@ -0,0 +1,243 @@ +import logging +from typing import Any + +from googleapiclient.errors import HttpError +from langchain_core.tools import tool +from langgraph.types import interrupt +from sqlalchemy.ext.asyncio import AsyncSession + +from app.connectors.google_drive.client import GoogleDriveClient +from app.services.google_drive import GoogleDriveToolMetadataService + +logger = logging.getLogger(__name__) + + +def create_delete_google_drive_file_tool( + db_session: AsyncSession | None = None, + search_space_id: int | None = None, + user_id: str | None = None, +): + @tool + async def delete_google_drive_file( + file_name: str, + delete_from_kb: bool = False, + ) -> dict[str, Any]: + """Move a Google Drive file to trash. + + Use this tool when the user explicitly asks to delete, remove, or trash + a file in Google Drive. + + Args: + file_name: The exact name of the file to trash (as it appears in Drive). + delete_from_kb: Whether to also remove the file from the knowledge base. + Default is False. + Set to True to remove from both Google Drive and knowledge base. + + Returns: + Dictionary with: + - status: "success", "rejected", "not_found", or "error" + - file_id: Google Drive file ID (if success) + - deleted_from_kb: whether the document was removed from the knowledge base + - message: Result message + + IMPORTANT: + - If status is "rejected", the user explicitly declined. Respond with a brief + acknowledgment and do NOT retry or suggest alternatives. + - If status is "not_found", relay the exact message to the user and ask them + to verify the file name or check if it has been indexed. + - If status is "insufficient_permissions", the connector lacks the required OAuth scope. + Inform the user they need to re-authenticate and do NOT retry this tool. + + Examples: + - "Delete the 'Meeting Notes' file from Google Drive" + - "Trash the 'Old Budget' spreadsheet" + """ + logger.info( + 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: + return { + "status": "error", + "message": "Google Drive tool not properly configured. Please contact support.", + } + + try: + metadata_service = GoogleDriveToolMetadataService(db_session) + context = await metadata_service.get_trash_context( + search_space_id, user_id, file_name + ) + + if "error" in context: + error_msg = context["error"] + if "not found" in error_msg.lower(): + logger.warning(f"File not found: {error_msg}") + return {"status": "not_found", "message": error_msg} + logger.error(f"Failed to fetch trash context: {error_msg}") + return {"status": "error", "message": error_msg} + + file = context["file"] + file_id = file["file_id"] + document_id = file.get("document_id") + connector_id_from_context = context["account"]["id"] + + if not file_id: + return { + "status": "error", + "message": "File ID is missing from the indexed document. Please re-index the file and try again.", + } + + logger.info( + f"Requesting approval for deleting Google Drive file: '{file_name}' (file_id={file_id}, delete_from_kb={delete_from_kb})" + ) + approval = interrupt( + { + "type": "google_drive_file_trash", + "action": { + "tool": "delete_google_drive_file", + "params": { + "file_id": file_id, + "connector_id": connector_id_from_context, + "delete_from_kb": delete_from_kb, + }, + }, + "context": context, + } + ) + + decisions_raw = ( + approval.get("decisions", []) if isinstance(approval, dict) else [] + ) + decisions = ( + decisions_raw if isinstance(decisions_raw, list) else [decisions_raw] + ) + decisions = [d for d in decisions if isinstance(d, dict)] + if not decisions: + logger.warning("No approval decision received") + return {"status": "error", "message": "No approval decision received"} + + decision = decisions[0] + decision_type = decision.get("type") or decision.get("decision_type") + logger.info(f"User decision: {decision_type}") + + if decision_type == "reject": + return { + "status": "rejected", + "message": "User declined. The file was not trashed. Do not ask again or suggest alternatives.", + } + + edited_action = decision.get("edited_action") + final_params: dict[str, Any] = {} + if isinstance(edited_action, dict): + edited_args = edited_action.get("args") + if isinstance(edited_args, dict): + final_params = edited_args + elif isinstance(decision.get("args"), dict): + final_params = decision["args"] + + final_file_id = final_params.get("file_id", file_id) + final_connector_id = final_params.get( + "connector_id", connector_id_from_context + ) + final_delete_from_kb = final_params.get("delete_from_kb", delete_from_kb) + + if not final_connector_id: + return { + "status": "error", + "message": "No connector found for this file.", + } + + from sqlalchemy.future import select + + from app.db import SearchSourceConnector, SearchSourceConnectorType + + 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.GOOGLE_DRIVE_CONNECTOR, + ) + ) + connector = result.scalars().first() + if not connector: + return { + "status": "error", + "message": "Selected Google Drive connector is invalid or has been disconnected.", + } + + logger.info( + f"Deleting Google Drive file: file_id='{final_file_id}', connector={final_connector_id}" + ) + client = GoogleDriveClient(session=db_session, connector_id=connector.id) + try: + await client.trash_file(file_id=final_file_id) + except HttpError as http_err: + if http_err.resp.status == 403: + logger.warning( + f"Insufficient permissions for connector {connector.id}: {http_err}" + ) + return { + "status": "insufficient_permissions", + "connector_id": connector.id, + "message": "This Google Drive account needs additional permissions. Please re-authenticate.", + } + raise + + logger.info( + f"Google Drive file deleted (moved to trash): file_id={final_file_id}" + ) + + trash_result: dict[str, Any] = { + "status": "success", + "file_id": final_file_id, + "message": f"Successfully moved '{file['name']}' to trash.", + } + + 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 + 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() + trash_result["warning"] = ( + f"File moved to trash, but failed to remove from knowledge base: {e!s}" + ) + + trash_result["deleted_from_kb"] = deleted_from_kb + if deleted_from_kb: + trash_result["message"] = ( + f"{trash_result.get('message', '')} (also removed from knowledge base)" + ) + + return trash_result + + except Exception as e: + from langgraph.errors import GraphInterrupt + + if isinstance(e, GraphInterrupt): + raise + + logger.error(f"Error deleting Google Drive file: {e}", exc_info=True) + return { + "status": "error", + "message": "Something went wrong while trashing the file. Please try again.", + } + + return delete_google_drive_file diff --git a/surfsense_backend/app/agents/new_chat/tools/registry.py b/surfsense_backend/app/agents/new_chat/tools/registry.py index 4c6345bc3..dffed5e86 100644 --- a/surfsense_backend/app/agents/new_chat/tools/registry.py +++ b/surfsense_backend/app/agents/new_chat/tools/registry.py @@ -47,6 +47,10 @@ from app.db import ChatVisibility from .display_image import create_display_image_tool from .generate_image import create_generate_image_tool +from .google_drive import ( + create_create_google_drive_file_tool, + create_delete_google_drive_file_tool, +) from .knowledge_base import create_search_knowledge_base_tool from .linear import ( create_create_linear_issue_tool, @@ -292,6 +296,29 @@ BUILTIN_TOOLS: list[ToolDefinition] = [ ), requires=["db_session", "search_space_id", "user_id"], ), + # ========================================================================= + # GOOGLE DRIVE TOOLS - create files, delete files + # ========================================================================= + ToolDefinition( + name="create_google_drive_file", + description="Create a new Google Doc or Google Sheet in Google Drive", + factory=lambda deps: create_create_google_drive_file_tool( + db_session=deps["db_session"], + search_space_id=deps["search_space_id"], + user_id=deps["user_id"], + ), + requires=["db_session", "search_space_id", "user_id"], + ), + ToolDefinition( + name="delete_google_drive_file", + description="Move an indexed Google Drive file to trash", + factory=lambda deps: create_delete_google_drive_file_tool( + db_session=deps["db_session"], + search_space_id=deps["search_space_id"], + user_id=deps["user_id"], + ), + requires=["db_session", "search_space_id", "user_id"], + ), ] diff --git a/surfsense_backend/app/connectors/google_drive/client.py b/surfsense_backend/app/connectors/google_drive/client.py index a001e42be..2910320b2 100644 --- a/surfsense_backend/app/connectors/google_drive/client.py +++ b/surfsense_backend/app/connectors/google_drive/client.py @@ -1,12 +1,15 @@ """Google Drive API client.""" +import io from typing import Any from googleapiclient.discovery import build from googleapiclient.errors import HttpError +from googleapiclient.http import MediaIoBaseUpload from sqlalchemy.ext.asyncio import AsyncSession from .credentials import get_valid_credentials +from .file_types import GOOGLE_DOC, GOOGLE_SHEET class GoogleDriveClient: @@ -179,3 +182,65 @@ class GoogleDriveClient: return None, f"HTTP error exporting file: {e.resp.status}" except Exception as e: return None, f"Error exporting file: {e!s}" + + async def create_file( + self, + name: str, + mime_type: str, + parent_folder_id: str | None = None, + content: str | None = None, + ) -> dict[str, Any]: + service = await self.get_service() + + body: dict[str, Any] = {"name": name, "mimeType": mime_type} + if parent_folder_id: + body["parents"] = [parent_folder_id] + + media: MediaIoBaseUpload | None = None + if content: + if mime_type == GOOGLE_DOC: + import markdown as md_lib + + html = md_lib.markdown(content) + media = MediaIoBaseUpload( + io.BytesIO(html.encode("utf-8")), + mimetype="text/html", + resumable=False, + ) + elif mime_type == GOOGLE_SHEET: + media = MediaIoBaseUpload( + io.BytesIO(content.encode("utf-8")), + mimetype="text/csv", + resumable=False, + ) + + if media: + return ( + service.files() + .create( + body=body, + media_body=media, + fields="id,name,mimeType,webViewLink", + supportsAllDrives=True, + ) + .execute() + ) + + return ( + service.files() + .create( + body=body, + fields="id,name,mimeType,webViewLink", + supportsAllDrives=True, + ) + .execute() + ) + + async def trash_file(self, file_id: str) -> bool: + service = await self.get_service() + service.files().update( + fileId=file_id, + body={"trashed": True}, + supportsAllDrives=True, + ).execute() + return True diff --git a/surfsense_backend/app/indexing_pipeline/__init__.py b/surfsense_backend/app/indexing_pipeline/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/app/indexing_pipeline/adapters/__init__.py b/surfsense_backend/app/indexing_pipeline/adapters/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/app/indexing_pipeline/adapters/file_upload_adapter.py b/surfsense_backend/app/indexing_pipeline/adapters/file_upload_adapter.py new file mode 100644 index 000000000..65503c60e --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/adapters/file_upload_adapter.py @@ -0,0 +1,46 @@ +from sqlalchemy.ext.asyncio import AsyncSession + +from app.db import DocumentStatus, DocumentType +from app.indexing_pipeline.connector_document import ConnectorDocument +from app.indexing_pipeline.indexing_pipeline_service import IndexingPipelineService + + +async def index_uploaded_file( + markdown_content: str, + filename: str, + etl_service: str, + search_space_id: int, + user_id: str, + session: AsyncSession, + llm, +) -> None: + connector_doc = ConnectorDocument( + title=filename, + source_markdown=markdown_content, + unique_id=filename, + document_type=DocumentType.FILE, + search_space_id=search_space_id, + created_by_id=user_id, + connector_id=None, + should_summarize=True, + should_use_code_chunker=False, + fallback_summary=markdown_content[:4000], + metadata={ + "FILE_NAME": filename, + "ETL_SERVICE": etl_service, + }, + ) + + service = IndexingPipelineService(session) + documents = await service.prepare_for_indexing([connector_doc]) + + if not documents: + raise RuntimeError("prepare_for_indexing returned no documents") + + indexed = await service.index(documents[0], connector_doc, llm) + + if not DocumentStatus.is_state(indexed.status, DocumentStatus.READY): + raise RuntimeError(indexed.status.get("reason", "Indexing failed")) + + indexed.content_needs_reindexing = False + await session.commit() diff --git a/surfsense_backend/app/indexing_pipeline/connector_document.py b/surfsense_backend/app/indexing_pipeline/connector_document.py new file mode 100644 index 000000000..019efe287 --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/connector_document.py @@ -0,0 +1,26 @@ +from pydantic import BaseModel, Field, field_validator + +from app.db import DocumentType + + +class ConnectorDocument(BaseModel): + """Canonical data transfer object produced by connector adapters and consumed by the indexing pipeline.""" + + title: str + source_markdown: str + unique_id: str + document_type: DocumentType + search_space_id: int = Field(gt=0) + should_summarize: bool = True + should_use_code_chunker: bool = False + fallback_summary: str | None = None + metadata: dict = {} + connector_id: int | None = None + created_by_id: str + + @field_validator("title", "source_markdown", "unique_id", "created_by_id") + @classmethod + def not_empty(cls, v: str, info) -> str: + if not v.strip(): + raise ValueError(f"{info.field_name} must not be empty or whitespace") + return v diff --git a/surfsense_backend/app/indexing_pipeline/document_chunker.py b/surfsense_backend/app/indexing_pipeline/document_chunker.py new file mode 100644 index 000000000..4f3c698ef --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/document_chunker.py @@ -0,0 +1,9 @@ +from app.config import config + + +def chunk_text(text: str, use_code_chunker: bool = False) -> list[str]: + """Chunk a text string using the configured chunker and return the chunk texts.""" + chunker = ( + config.code_chunker_instance if use_code_chunker else config.chunker_instance + ) + return [c.text for c in chunker.chunk(text)] diff --git a/surfsense_backend/app/indexing_pipeline/document_embedder.py b/surfsense_backend/app/indexing_pipeline/document_embedder.py new file mode 100644 index 000000000..ea24a5a56 --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/document_embedder.py @@ -0,0 +1,6 @@ +from app.config import config + + +def embed_text(text: str) -> list[float]: + """Embed a single text string using the configured embedding model.""" + return config.embedding_model_instance.embed(text) diff --git a/surfsense_backend/app/indexing_pipeline/document_hashing.py b/surfsense_backend/app/indexing_pipeline/document_hashing.py new file mode 100644 index 000000000..5dd7767a4 --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/document_hashing.py @@ -0,0 +1,15 @@ +import hashlib + +from app.indexing_pipeline.connector_document import ConnectorDocument + + +def compute_unique_identifier_hash(doc: ConnectorDocument) -> str: + """Return a stable SHA-256 hash identifying a document by its source identity.""" + combined = f"{doc.document_type.value}:{doc.unique_id}:{doc.search_space_id}" + return hashlib.sha256(combined.encode("utf-8")).hexdigest() + + +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 hashlib.sha256(combined.encode("utf-8")).hexdigest() diff --git a/surfsense_backend/app/indexing_pipeline/document_persistence.py b/surfsense_backend/app/indexing_pipeline/document_persistence.py new file mode 100644 index 000000000..d7810e516 --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/document_persistence.py @@ -0,0 +1,39 @@ +from datetime import UTC, datetime + +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import object_session +from sqlalchemy.orm.attributes import set_committed_value + +from app.db import Document, DocumentStatus + + +async def rollback_and_persist_failure( + session: AsyncSession, document: Document, message: str +) -> None: + """Roll back the current transaction and best-effort persist a failed status. + + Called exclusively from except blocks — must never raise, or the new exception + would chain with the original and mask it entirely. + """ + try: + await session.rollback() + except Exception: + return # Session is completely dead; nothing further we can do. + try: + await session.refresh(document) + document.updated_at = datetime.now(UTC) + document.status = DocumentStatus.failed(message) + await session.commit() + except Exception: + pass # Best-effort; document will be retried on the next sync. + + +def attach_chunks_to_document(document: Document, chunks: list) -> None: + """Assign chunks to a document without triggering SQLAlchemy async lazy loading.""" + set_committed_value(document, "chunks", chunks) + session = object_session(document) + if session is not None: + if document.id is not None: + for chunk in chunks: + chunk.document_id = document.id + session.add_all(chunks) diff --git a/surfsense_backend/app/indexing_pipeline/document_summarizer.py b/surfsense_backend/app/indexing_pipeline/document_summarizer.py new file mode 100644 index 000000000..76cc77377 --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/document_summarizer.py @@ -0,0 +1,30 @@ +from app.prompts import SUMMARY_PROMPT_TEMPLATE +from app.utils.document_converters import optimize_content_for_context_window + + +async def summarize_document( + source_markdown: str, llm, metadata: dict | None = None +) -> str: + """Generate a text summary of a document using an LLM, prefixed with metadata when provided.""" + model_name = getattr(llm, "model", "gpt-3.5-turbo") + optimized_content = optimize_content_for_context_window( + source_markdown, metadata, model_name + ) + + summary_chain = SUMMARY_PROMPT_TEMPLATE | llm + content_with_metadata = ( + f"\n\n{metadata}\n\n" + f"\n\n\n\n{optimized_content}\n\n" + ) + summary_result = await summary_chain.ainvoke({"document": content_with_metadata}) + summary_content = summary_result.content + + if metadata: + metadata_parts = ["# DOCUMENT METADATA"] + for key, value in metadata.items(): + if value: + metadata_parts.append(f"**{key.replace('_', ' ').title()}:** {value}") + metadata_section = "\n".join(metadata_parts) + return f"{metadata_section}\n\n# DOCUMENT SUMMARY\n\n{summary_content}" + + return summary_content diff --git a/surfsense_backend/app/indexing_pipeline/exceptions.py b/surfsense_backend/app/indexing_pipeline/exceptions.py new file mode 100644 index 000000000..2a86dc76e --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/exceptions.py @@ -0,0 +1,124 @@ +from litellm.exceptions import ( + APIConnectionError, + APIResponseValidationError, + AuthenticationError, + BadGatewayError, + BadRequestError, + InternalServerError, + NotFoundError, + PermissionDeniedError, + RateLimitError, + ServiceUnavailableError, + Timeout, + UnprocessableEntityError, +) + +# Tuples for use directly in except clauses. +RETRYABLE_LLM_ERRORS = ( + RateLimitError, + Timeout, + ServiceUnavailableError, + BadGatewayError, + InternalServerError, + APIConnectionError, +) + +PERMANENT_LLM_ERRORS = ( + AuthenticationError, + PermissionDeniedError, + NotFoundError, + BadRequestError, + UnprocessableEntityError, + APIResponseValidationError, +) + +# (LiteLLMEmbeddings, CohereEmbeddings, GeminiEmbeddings all normalize to RuntimeError). +EMBEDDING_ERRORS = ( + RuntimeError, # local device failure or API backend normalization + OSError, # model files missing or corrupted (local backends) + MemoryError, # document too large for available RAM +) + + +class PipelineMessages: + RATE_LIMIT = "LLM rate limit exceeded. Will retry on next sync." + LLM_TIMEOUT = "LLM request timed out. Will retry on next sync." + LLM_UNAVAILABLE = "LLM service temporarily unavailable. Will retry on next sync." + LLM_BAD_GATEWAY = "LLM gateway error. Will retry on next sync." + LLM_SERVER_ERROR = "LLM internal server error. Will retry on next sync." + LLM_CONNECTION = "Could not reach the LLM service. Check network connectivity." + + LLM_AUTH = "LLM authentication failed. Check your API key." + LLM_PERMISSION = "LLM request denied. Check your account permissions." + LLM_NOT_FOUND = "LLM model not found. Check your model configuration." + LLM_BAD_REQUEST = "LLM rejected the request. Document content may be invalid." + LLM_UNPROCESSABLE = ( + "Document exceeds the LLM context window even after optimization." + ) + LLM_RESPONSE = "LLM returned an invalid response." + + EMBEDDING_FAILED = ( + "Embedding failed. Check your embedding model configuration or service." + ) + EMBEDDING_MODEL = "Embedding model files are missing or corrupted." + EMBEDDING_MEMORY = "Not enough memory to embed this document." + + CHUNKING_OVERFLOW = "Document structure is too deeply nested to chunk." + + +def safe_exception_message(exc: Exception) -> str: + try: + return str(exc) + except Exception: + return "Something went wrong during indexing. Error details could not be retrieved." + + +def llm_retryable_message(exc: Exception) -> str: + try: + if isinstance(exc, RateLimitError): + return PipelineMessages.RATE_LIMIT + if isinstance(exc, Timeout): + return PipelineMessages.LLM_TIMEOUT + if isinstance(exc, ServiceUnavailableError): + return PipelineMessages.LLM_UNAVAILABLE + if isinstance(exc, BadGatewayError): + return PipelineMessages.LLM_BAD_GATEWAY + if isinstance(exc, InternalServerError): + return PipelineMessages.LLM_SERVER_ERROR + if isinstance(exc, APIConnectionError): + return PipelineMessages.LLM_CONNECTION + return safe_exception_message(exc) + except Exception: + return "Something went wrong when calling the LLM." + + +def llm_permanent_message(exc: Exception) -> str: + try: + if isinstance(exc, AuthenticationError): + return PipelineMessages.LLM_AUTH + if isinstance(exc, PermissionDeniedError): + return PipelineMessages.LLM_PERMISSION + if isinstance(exc, NotFoundError): + return PipelineMessages.LLM_NOT_FOUND + if isinstance(exc, BadRequestError): + return PipelineMessages.LLM_BAD_REQUEST + if isinstance(exc, UnprocessableEntityError): + return PipelineMessages.LLM_UNPROCESSABLE + if isinstance(exc, APIResponseValidationError): + return PipelineMessages.LLM_RESPONSE + return safe_exception_message(exc) + except Exception: + return "Something went wrong when calling the LLM." + + +def embedding_message(exc: Exception) -> str: + try: + if isinstance(exc, RuntimeError): + return PipelineMessages.EMBEDDING_FAILED + if isinstance(exc, OSError): + return PipelineMessages.EMBEDDING_MODEL + if isinstance(exc, MemoryError): + return PipelineMessages.EMBEDDING_MEMORY + return safe_exception_message(exc) + except Exception: + return "Something went wrong when generating the embedding." diff --git a/surfsense_backend/app/indexing_pipeline/indexing_pipeline_service.py b/surfsense_backend/app/indexing_pipeline/indexing_pipeline_service.py new file mode 100644 index 000000000..eea3d6e25 --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/indexing_pipeline_service.py @@ -0,0 +1,237 @@ +import contextlib +from datetime import UTC, datetime + +from sqlalchemy import delete, select +from sqlalchemy.exc import IntegrityError +from sqlalchemy.ext.asyncio import AsyncSession + +from app.db import Chunk, Document, DocumentStatus +from app.indexing_pipeline.connector_document import ConnectorDocument +from app.indexing_pipeline.document_chunker import chunk_text +from app.indexing_pipeline.document_embedder import embed_text +from app.indexing_pipeline.document_hashing import ( + compute_content_hash, + compute_unique_identifier_hash, +) +from app.indexing_pipeline.document_persistence import ( + attach_chunks_to_document, + rollback_and_persist_failure, +) +from app.indexing_pipeline.document_summarizer import summarize_document +from app.indexing_pipeline.exceptions import ( + EMBEDDING_ERRORS, + PERMANENT_LLM_ERRORS, + RETRYABLE_LLM_ERRORS, + PipelineMessages, + embedding_message, + llm_permanent_message, + llm_retryable_message, + safe_exception_message, +) +from app.indexing_pipeline.pipeline_logger import ( + PipelineLogContext, + log_batch_aborted, + log_chunking_overflow, + log_doc_skipped_unknown, + log_document_queued, + log_document_requeued, + log_document_updated, + log_embedding_error, + log_index_started, + log_index_success, + log_permanent_llm_error, + log_race_condition, + log_retryable_llm_error, + log_unexpected_error, +) + + +class IndexingPipelineService: + """Single pipeline for indexing connector documents. All connectors use this service.""" + + def __init__(self, session: AsyncSession) -> None: + self.session = session + + async def prepare_for_indexing( + self, connector_docs: list[ConnectorDocument] + ) -> list[Document]: + """ + Persist new documents and detect changes, returning only those that need indexing. + """ + documents = [] + 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, + 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, + unique_id=connector_doc.unique_id, + ) + try: + unique_identifier_hash = compute_unique_identifier_hash(connector_doc) + content_hash = compute_content_hash(connector_doc) + + if unique_identifier_hash in seen_hashes: + continue + seen_hashes.add(unique_identifier_hash) + + result = await self.session.execute( + select(Document).filter( + Document.unique_identifier_hash == unique_identifier_hash + ) + ) + existing = result.scalars().first() + + if existing is not None: + if existing.content_hash == content_hash: + if existing.title != connector_doc.title: + existing.title = connector_doc.title + existing.updated_at = datetime.now(UTC) + if not DocumentStatus.is_state( + existing.status, DocumentStatus.READY + ): + existing.status = DocumentStatus.pending() + existing.updated_at = datetime.now(UTC) + documents.append(existing) + log_document_requeued(ctx) + continue + + existing.title = connector_doc.title + existing.content_hash = content_hash + existing.source_markdown = connector_doc.source_markdown + existing.document_metadata = connector_doc.metadata + existing.updated_at = datetime.now(UTC) + existing.status = DocumentStatus.pending() + documents.append(existing) + log_document_updated(ctx) + continue + + duplicate = await self.session.execute( + select(Document).filter(Document.content_hash == content_hash) + ) + if duplicate.scalars().first() is not None: + continue + + document = Document( + title=connector_doc.title, + document_type=connector_doc.document_type, + content="Pending...", + content_hash=content_hash, + 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, + connector_id=connector_doc.connector_id, + created_by_id=connector_doc.created_by_id, + updated_at=datetime.now(UTC), + status=DocumentStatus.pending(), + ) + self.session.add(document) + documents.append(document) + log_document_queued(ctx) + + except Exception as e: + log_doc_skipped_unknown(ctx, e) + + try: + await self.session.commit() + return documents + except IntegrityError: + # A concurrent worker committed a document with the same content_hash + # or unique_identifier_hash between our check and our INSERT. + # The document already exists — roll back and let the next sync run handle it. + log_race_condition(batch_ctx) + await self.session.rollback() + return [] + except Exception as e: + log_batch_aborted(batch_ctx, e) + await self.session.rollback() + return [] + + async def index( + self, document: Document, connector_doc: ConnectorDocument, llm + ) -> Document: + """ + Run summarization, embedding, and chunking for a document and persist the results. + """ + ctx = PipelineLogContext( + connector_id=connector_doc.connector_id, + search_space_id=connector_doc.search_space_id, + unique_id=connector_doc.unique_id, + doc_id=document.id, + ) + try: + log_index_started(ctx) + document.status = DocumentStatus.processing() + await self.session.commit() + + if connector_doc.should_summarize and llm is not None: + content = await summarize_document( + connector_doc.source_markdown, llm, connector_doc.metadata + ) + elif connector_doc.should_summarize and connector_doc.fallback_summary: + content = connector_doc.fallback_summary + else: + content = connector_doc.source_markdown + + embedding = embed_text(content) + + await self.session.execute( + delete(Chunk).where(Chunk.document_id == document.id) + ) + + chunks = [ + Chunk(content=text, embedding=embed_text(text)) + for text in chunk_text( + connector_doc.source_markdown, + use_code_chunker=connector_doc.should_use_code_chunker, + ) + ] + + document.content = content + document.embedding = embedding + attach_chunks_to_document(document, chunks) + document.updated_at = datetime.now(UTC) + document.status = DocumentStatus.ready() + await self.session.commit() + log_index_success(ctx, chunk_count=len(chunks)) + + except RETRYABLE_LLM_ERRORS as e: + log_retryable_llm_error(ctx, e) + await rollback_and_persist_failure( + self.session, document, llm_retryable_message(e) + ) + + except PERMANENT_LLM_ERRORS as e: + log_permanent_llm_error(ctx, e) + await rollback_and_persist_failure( + self.session, document, llm_permanent_message(e) + ) + + except RecursionError as e: + log_chunking_overflow(ctx, e) + await rollback_and_persist_failure( + self.session, document, PipelineMessages.CHUNKING_OVERFLOW + ) + + except EMBEDDING_ERRORS as e: + log_embedding_error(ctx, e) + await rollback_and_persist_failure( + self.session, document, embedding_message(e) + ) + + except Exception as e: + log_unexpected_error(ctx, e) + await rollback_and_persist_failure( + self.session, document, safe_exception_message(e) + ) + + with contextlib.suppress(Exception): + await self.session.refresh(document) + + return document diff --git a/surfsense_backend/app/indexing_pipeline/pipeline_logger.py b/surfsense_backend/app/indexing_pipeline/pipeline_logger.py new file mode 100644 index 000000000..281a92c52 --- /dev/null +++ b/surfsense_backend/app/indexing_pipeline/pipeline_logger.py @@ -0,0 +1,126 @@ +import logging +from dataclasses import dataclass + +logger = logging.getLogger(__name__) + + +@dataclass +class PipelineLogContext: + connector_id: int | None + search_space_id: int + unique_id: str # always available from ConnectorDocument + doc_id: int | None = None # set once the DB row exists (index phase only) + + +class LogMessages: + # prepare_for_indexing + DOCUMENT_QUEUED = "New document queued for indexing." + DOCUMENT_UPDATED = "Document content changed, re-queued for indexing." + DOCUMENT_REQUEUED = "Stuck document re-queued for indexing." + DOC_SKIPPED_UNKNOWN = "Unexpected error — document skipped." + BATCH_ABORTED = "Fatal DB error — aborting prepare batch." + RACE_CONDITION = "Concurrent worker beat us to the commit — rolling back batch." + + # index + INDEX_STARTED = "Document indexing started." + INDEX_SUCCESS = "Document indexed successfully." + LLM_RETRYABLE = ( + "Retryable LLM error — document marked failed, will retry on next sync." + ) + LLM_PERMANENT = "Permanent LLM error — document marked failed." + EMBEDDING_FAILED = "Embedding error — document marked failed." + CHUNKING_OVERFLOW = "Chunking overflow — document marked failed." + UNEXPECTED = "Unexpected error — document marked failed." + + +def _format_context(ctx: PipelineLogContext) -> str: + parts = [ + f"connector_id={ctx.connector_id}", + f"search_space_id={ctx.search_space_id}", + f"unique_id={ctx.unique_id}", + ] + if ctx.doc_id is not None: + parts.append(f"doc_id={ctx.doc_id}") + return " ".join(parts) + + +def _build_message(msg: str, ctx: PipelineLogContext, **extra) -> str: + try: + parts = [msg, _format_context(ctx)] + for key, val in extra.items(): + parts.append(f"{key}={val}") + return " ".join(parts) + except Exception: + return msg + + +def _safe_log( + level_fn, msg: str, ctx: PipelineLogContext, exc_info=None, **extra +) -> None: + # Logging must never raise — a broken log call inside an except block would + # chain with the original exception and mask it entirely. + try: + message = _build_message(msg, ctx, **extra) + level_fn(message, exc_info=exc_info) + except Exception: + pass + + +# ── prepare_for_indexing ────────────────────────────────────────────────────── + + +def log_document_queued(ctx: PipelineLogContext) -> None: + _safe_log(logger.info, LogMessages.DOCUMENT_QUEUED, ctx) + + +def log_document_updated(ctx: PipelineLogContext) -> None: + _safe_log(logger.info, LogMessages.DOCUMENT_UPDATED, ctx) + + +def log_document_requeued(ctx: PipelineLogContext) -> None: + _safe_log(logger.info, LogMessages.DOCUMENT_REQUEUED, ctx) + + +def log_doc_skipped_unknown(ctx: PipelineLogContext, exc: Exception) -> None: + _safe_log( + logger.warning, LogMessages.DOC_SKIPPED_UNKNOWN, ctx, exc_info=exc, error=exc + ) + + +def log_race_condition(ctx: PipelineLogContext) -> None: + _safe_log(logger.warning, LogMessages.RACE_CONDITION, ctx) + + +def log_batch_aborted(ctx: PipelineLogContext, exc: Exception) -> None: + _safe_log(logger.error, LogMessages.BATCH_ABORTED, ctx, exc_info=exc, error=exc) + + +# ── index ───────────────────────────────────────────────────────────────────── + + +def log_index_started(ctx: PipelineLogContext) -> None: + _safe_log(logger.info, LogMessages.INDEX_STARTED, ctx) + + +def log_index_success(ctx: PipelineLogContext, chunk_count: int) -> None: + _safe_log(logger.info, LogMessages.INDEX_SUCCESS, ctx, chunk_count=chunk_count) + + +def log_retryable_llm_error(ctx: PipelineLogContext, exc: Exception) -> None: + _safe_log(logger.warning, LogMessages.LLM_RETRYABLE, ctx, exc_info=exc, error=exc) + + +def log_permanent_llm_error(ctx: PipelineLogContext, exc: Exception) -> None: + _safe_log(logger.error, LogMessages.LLM_PERMANENT, ctx, exc_info=exc, error=exc) + + +def log_embedding_error(ctx: PipelineLogContext, exc: Exception) -> None: + _safe_log(logger.error, LogMessages.EMBEDDING_FAILED, ctx, exc_info=exc, error=exc) + + +def log_chunking_overflow(ctx: PipelineLogContext, exc: Exception) -> None: + _safe_log(logger.error, LogMessages.CHUNKING_OVERFLOW, ctx, exc_info=exc, error=exc) + + +def log_unexpected_error(ctx: PipelineLogContext, exc: Exception) -> None: + _safe_log(logger.error, LogMessages.UNEXPECTED, ctx, exc_info=exc, error=exc) diff --git a/surfsense_backend/app/routes/__init__.py b/surfsense_backend/app/routes/__init__.py index f8e22f872..6114dd207 100644 --- a/surfsense_backend/app/routes/__init__.py +++ b/surfsense_backend/app/routes/__init__.py @@ -36,6 +36,7 @@ from .podcasts_routes import router as podcasts_router from .public_chat_routes import router as public_chat_router 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 @@ -50,6 +51,7 @@ router.include_router(editor_router) router.include_router(documents_router) router.include_router(notes_router) router.include_router(new_chat_router) # Chat with assistant-ui persistence +router.include_router(sandbox_router) # Sandbox file downloads (Daytona) router.include_router(chat_comments_router) router.include_router(podcasts_router) # Podcast task status and audio router.include_router(reports_router) # Report CRUD and export (PDF/DOCX) diff --git a/surfsense_backend/app/routes/documents_routes.py b/surfsense_backend/app/routes/documents_routes.py index ed4d6dea3..8217b6dac 100644 --- a/surfsense_backend/app/routes/documents_routes.py +++ b/surfsense_backend/app/routes/documents_routes.py @@ -44,6 +44,10 @@ os.environ["UNSTRUCTURED_HAS_PATCHED_LOOP"] = "1" router = APIRouter() +MAX_FILES_PER_UPLOAD = 10 +MAX_FILE_SIZE_BYTES = 50 * 1024 * 1024 # 50 MB per file +MAX_TOTAL_SIZE_BYTES = 200 * 1024 * 1024 # 200 MB total + @router.post("/documents") async def create_documents( @@ -148,12 +152,37 @@ async def create_documents_file_upload( if not files: raise HTTPException(status_code=400, detail="No files provided") + if len(files) > MAX_FILES_PER_UPLOAD: + raise HTTPException( + status_code=413, + detail=f"Too many files. Maximum {MAX_FILES_PER_UPLOAD} files per upload.", + ) + + total_size = 0 + for file in files: + file_size = file.size or 0 + if file_size > MAX_FILE_SIZE_BYTES: + raise HTTPException( + status_code=413, + detail=f"File '{file.filename}' ({file_size / (1024 * 1024):.1f} MB) " + f"exceeds the {MAX_FILE_SIZE_BYTES // (1024 * 1024)} MB per-file limit.", + ) + total_size += file_size + + if total_size > MAX_TOTAL_SIZE_BYTES: + raise HTTPException( + status_code=413, + detail=f"Total upload size ({total_size / (1024 * 1024):.1f} MB) " + f"exceeds the {MAX_TOTAL_SIZE_BYTES // (1024 * 1024)} MB limit.", + ) + created_documents: list[Document] = [] files_to_process: list[ tuple[Document, str, str] ] = [] # (document, temp_path, filename) skipped_duplicates = 0 duplicate_document_ids: list[int] = [] + actual_total_size = 0 # ===== PHASE 1: Create pending documents for all files ===== # This makes ALL documents visible in the UI immediately with pending status @@ -169,11 +198,28 @@ async def create_documents_file_upload( temp_path = temp_file.name content = await file.read() + file_size = len(content) + + if file_size > MAX_FILE_SIZE_BYTES: + os.unlink(temp_path) + raise HTTPException( + status_code=413, + detail=f"File '{file.filename}' ({file_size / (1024 * 1024):.1f} MB) " + f"exceeds the {MAX_FILE_SIZE_BYTES // (1024 * 1024)} MB per-file limit.", + ) + + actual_total_size += file_size + if actual_total_size > MAX_TOTAL_SIZE_BYTES: + os.unlink(temp_path) + raise HTTPException( + status_code=413, + detail=f"Total upload size ({actual_total_size / (1024 * 1024):.1f} MB) " + f"exceeds the {MAX_TOTAL_SIZE_BYTES // (1024 * 1024)} MB limit.", + ) + with open(temp_path, "wb") as f: f.write(content) - file_size = len(content) - # Generate unique identifier for deduplication check unique_identifier_hash = generate_unique_identifier_hash( DocumentType.FILE, file.filename or "unknown", search_space_id @@ -373,10 +419,11 @@ async def read_documents( # Convert database objects to API-friendly format api_documents = [] for doc in db_documents: - # Get user name (display_name or email fallback) created_by_name = None + created_by_email = None if doc.created_by: - created_by_name = doc.created_by.display_name or doc.created_by.email + created_by_name = doc.created_by.display_name + created_by_email = doc.created_by.email # Parse status from JSONB status_data = None @@ -400,6 +447,7 @@ async def read_documents( search_space_id=doc.search_space_id, created_by_id=doc.created_by_id, created_by_name=created_by_name, + created_by_email=created_by_email, status=status_data, ) ) @@ -528,10 +576,11 @@ async def search_documents( # Convert database objects to API-friendly format api_documents = [] for doc in db_documents: - # Get user name (display_name or email fallback) created_by_name = None + created_by_email = None if doc.created_by: - created_by_name = doc.created_by.display_name or doc.created_by.email + created_by_name = doc.created_by.display_name + created_by_email = doc.created_by.email # Parse status from JSONB status_data = None @@ -555,6 +604,7 @@ async def search_documents( search_space_id=doc.search_space_id, created_by_id=doc.created_by_id, created_by_name=created_by_name, + created_by_email=created_by_email, status=status_data, ) ) 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 6b4159d29..9fa83f3a2 100644 --- a/surfsense_backend/app/routes/google_drive_add_connector_route.py +++ b/surfsense_backend/app/routes/google_drive_add_connector_route.py @@ -76,9 +76,9 @@ def get_token_encryption() -> TokenEncryption: # Google Drive OAuth scopes SCOPES = [ - "https://www.googleapis.com/auth/drive.readonly", # Read-only access to Drive - "https://www.googleapis.com/auth/userinfo.email", # User email - "https://www.googleapis.com/auth/userinfo.profile", # User profile + "https://www.googleapis.com/auth/drive", + "https://www.googleapis.com/auth/userinfo.email", + "https://www.googleapis.com/auth/userinfo.profile", "openid", ] @@ -151,6 +151,75 @@ async def connect_drive(space_id: int, user: User = Depends(current_active_user) ) from e +@router.get("/auth/google/drive/connector/reauth") +async def reauth_drive( + space_id: int, + connector_id: int, + return_url: str | None = None, + user: User = Depends(current_active_user), + session: AsyncSession = Depends(get_async_session), +): + """ + Initiate Google Drive re-authentication to upgrade OAuth scopes. + + Query params: + space_id: Search space ID the connector belongs to + connector_id: ID of the existing connector to re-authenticate + + Returns: + JSON with auth_url to redirect user to Google authorization + """ + try: + result = await session.execute( + select(SearchSourceConnector).filter( + SearchSourceConnector.id == connector_id, + SearchSourceConnector.user_id == user.id, + SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.connector_type + == SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR, + ) + ) + connector = result.scalars().first() + if not connector: + raise HTTPException( + status_code=404, + detail="Google Drive connector not found or access denied", + ) + + if not config.SECRET_KEY: + raise HTTPException( + status_code=500, detail="SECRET_KEY not configured for OAuth security." + ) + + flow = get_google_flow() + + state_manager = get_state_manager() + extra: dict = {"connector_id": connector_id} + if return_url and return_url.startswith("/"): + extra["return_url"] = return_url + state_encoded = state_manager.generate_secure_state(space_id, user.id, **extra) + + auth_url, _ = flow.authorization_url( + access_type="offline", + prompt="consent", + include_granted_scopes="true", + state=state_encoded, + ) + + logger.info( + f"Initiating Google Drive re-auth for user {user.id}, connector {connector_id}" + ) + return {"auth_url": auth_url} + + except HTTPException: + raise + except Exception as e: + logger.error(f"Failed to initiate Google Drive re-auth: {e!s}", exc_info=True) + raise HTTPException( + status_code=500, detail=f"Failed to initiate Google re-auth: {e!s}" + ) from e + + @router.get("/auth/google/drive/connector/callback") async def drive_callback( request: Request, @@ -214,6 +283,8 @@ async def drive_callback( user_id = UUID(data["user_id"]) space_id = data["space_id"] + reauth_connector_id = data.get("connector_id") + reauth_return_url = data.get("return_url") logger.info( f"Processing Google Drive callback for user {user_id}, space {space_id}" @@ -253,7 +324,45 @@ async def drive_callback( # Mark that credentials are encrypted for backward compatibility creds_dict["_token_encrypted"] = True - # Check for duplicate connector (same account already connected) + if reauth_connector_id: + result = await session.execute( + select(SearchSourceConnector).filter( + SearchSourceConnector.id == reauth_connector_id, + SearchSourceConnector.user_id == user_id, + SearchSourceConnector.search_space_id == space_id, + SearchSourceConnector.connector_type + == SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR, + ) + ) + db_connector = result.scalars().first() + if not db_connector: + raise HTTPException( + status_code=404, + detail="Connector not found or access denied during re-auth", + ) + + existing_start_page_token = db_connector.config.get("start_page_token") + db_connector.config = { + **creds_dict, + "start_page_token": existing_start_page_token, + } + from sqlalchemy.orm.attributes import flag_modified + + flag_modified(db_connector, "config") + await session.commit() + await session.refresh(db_connector) + + logger.info( + f"Re-authenticated Google Drive connector {db_connector.id} for user {user_id}" + ) + if reauth_return_url and reauth_return_url.startswith("/"): + return RedirectResponse( + url=f"{config.NEXT_FRONTEND_URL}{reauth_return_url}" + ) + return RedirectResponse( + url=f"{config.NEXT_FRONTEND_URL}/dashboard/{space_id}/new-chat?modal=connectors&tab=all&success=true&connector=google-drive-connector&connectorId={db_connector.id}" + ) + is_duplicate = await check_duplicate_connector( session, SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR, diff --git a/surfsense_backend/app/routes/new_chat_routes.py b/surfsense_backend/app/routes/new_chat_routes.py index 1713f4ea8..28e02627c 100644 --- a/surfsense_backend/app/routes/new_chat_routes.py +++ b/surfsense_backend/app/routes/new_chat_routes.py @@ -10,6 +10,8 @@ These endpoints support the ThreadHistoryAdapter pattern from assistant-ui: - POST /threads/{thread_id}/messages - Append message """ +import asyncio +import logging from datetime import UTC, datetime from fastapi import APIRouter, Depends, HTTPException, Request @@ -52,9 +54,47 @@ from app.tasks.chat.stream_new_chat import stream_new_chat, stream_resume_chat from app.users import current_active_user from app.utils.rbac import check_permission +_logger = logging.getLogger(__name__) + router = APIRouter() +def _try_delete_sandbox(thread_id: int) -> None: + """Fire-and-forget sandbox + local file deletion so the HTTP response isn't blocked.""" + from app.agents.new_chat.sandbox import ( + delete_local_sandbox_files, + delete_sandbox, + is_sandbox_enabled, + ) + + if not is_sandbox_enabled(): + return + + async def _bg() -> None: + try: + await delete_sandbox(thread_id) + except Exception: + _logger.warning( + "Background sandbox delete failed for thread %s", + thread_id, + exc_info=True, + ) + try: + delete_local_sandbox_files(thread_id) + except Exception: + _logger.warning( + "Local sandbox file cleanup failed for thread %s", + thread_id, + exc_info=True, + ) + + try: + loop = asyncio.get_running_loop() + loop.create_task(_bg()) + except RuntimeError: + pass + + async def check_thread_access( session: AsyncSession, thread: NewChatThread, @@ -648,6 +688,9 @@ async def delete_thread( await session.delete(db_thread) await session.commit() + + _try_delete_sandbox(thread_id) + return {"message": "Thread deleted successfully"} except HTTPException: diff --git a/surfsense_backend/app/routes/sandbox_routes.py b/surfsense_backend/app/routes/sandbox_routes.py new file mode 100644 index 000000000..2c12c3a1e --- /dev/null +++ b/surfsense_backend/app/routes/sandbox_routes.py @@ -0,0 +1,105 @@ +"""Routes for downloading files from Daytona sandbox environments.""" + +from __future__ import annotations + +import asyncio +import logging + +from fastapi import APIRouter, Depends, HTTPException, Query +from fastapi.responses import Response +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select + +from app.db import NewChatThread, Permission, User, get_async_session +from app.users import current_active_user +from app.utils.rbac import check_permission + +logger = logging.getLogger(__name__) + +router = APIRouter() + +MIME_TYPES: dict[str, str] = { + ".png": "image/png", + ".jpg": "image/jpeg", + ".jpeg": "image/jpeg", + ".gif": "image/gif", + ".webp": "image/webp", + ".svg": "image/svg+xml", + ".pdf": "application/pdf", + ".csv": "text/csv", + ".json": "application/json", + ".txt": "text/plain", + ".html": "text/html", + ".md": "text/markdown", + ".py": "text/x-python", + ".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", + ".zip": "application/zip", +} + + +def _guess_media_type(filename: str) -> str: + ext = ("." + filename.rsplit(".", 1)[-1].lower()) if "." in filename else "" + return MIME_TYPES.get(ext, "application/octet-stream") + + +@router.get("/threads/{thread_id}/sandbox/download") +async def download_sandbox_file( + thread_id: int, + path: str = Query(..., description="Absolute path of the file inside the sandbox"), + session: AsyncSession = Depends(get_async_session), + user: User = Depends(current_active_user), +): + """Download a file from the Daytona sandbox associated with a chat thread.""" + + from app.agents.new_chat.sandbox import get_or_create_sandbox, is_sandbox_enabled + + if not is_sandbox_enabled(): + raise HTTPException(status_code=404, detail="Sandbox is not enabled") + + result = await session.execute( + select(NewChatThread).filter(NewChatThread.id == thread_id) + ) + thread = result.scalars().first() + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + + await check_permission( + session, + user, + thread.search_space_id, + Permission.CHATS_READ.value, + "You don't have permission to access files in this thread", + ) + + from app.agents.new_chat.sandbox import get_local_sandbox_file + + # Prefer locally-persisted copy (sandbox may already be deleted) + local_content = get_local_sandbox_file(thread_id, path) + if local_content is not None: + filename = path.rsplit("/", 1)[-1] if "/" in path else path + media_type = _guess_media_type(filename) + return Response( + content=local_content, + media_type=media_type, + headers={"Content-Disposition": f'attachment; filename="{filename}"'}, + ) + + # Fall back to live sandbox download + try: + sandbox = await get_or_create_sandbox(thread_id) + raw_sandbox = sandbox._sandbox + content: bytes = await asyncio.to_thread(raw_sandbox.fs.download_file, path) + except Exception as exc: + logger.warning("Sandbox file download failed for %s: %s", path, exc) + raise HTTPException( + status_code=404, detail=f"Could not download file: {exc}" + ) from exc + + filename = path.rsplit("/", 1)[-1] if "/" in path else path + media_type = _guess_media_type(filename) + + return Response( + content=content, + media_type=media_type, + headers={"Content-Disposition": f'attachment; filename="{filename}"'}, + ) diff --git a/surfsense_backend/app/schemas/documents.py b/surfsense_backend/app/schemas/documents.py index 2ca341921..be464f9ec 100644 --- a/surfsense_backend/app/schemas/documents.py +++ b/surfsense_backend/app/schemas/documents.py @@ -60,9 +60,8 @@ class DocumentRead(BaseModel): updated_at: datetime | None search_space_id: int created_by_id: UUID | None = None # User who created/uploaded this document - created_by_name: str | None = ( - None # Display name or email of the user who created this document - ) + created_by_name: str | None = None + created_by_email: str | None = None status: DocumentStatusSchema | None = ( None # Processing status (ready, processing, failed) ) diff --git a/surfsense_backend/app/services/connector_service.py b/surfsense_backend/app/services/connector_service.py index 251241e96..3bd9a4421 100644 --- a/surfsense_backend/app/services/connector_service.py +++ b/surfsense_backend/app/services/connector_service.py @@ -1303,10 +1303,9 @@ class ConnectorService: sources_list = self._build_chunk_sources_from_documents( github_docs, - description_fn=lambda chunk, _doc_info, metadata: metadata.get( - "description" - ) - or chunk.get("content", ""), + description_fn=lambda chunk, _doc_info, metadata: ( + metadata.get("description") or chunk.get("content", "") + ), url_fn=lambda _doc_info, metadata: metadata.get("url", "") or "", ) diff --git a/surfsense_backend/app/services/google_drive/__init__.py b/surfsense_backend/app/services/google_drive/__init__.py new file mode 100644 index 000000000..5958a1761 --- /dev/null +++ b/surfsense_backend/app/services/google_drive/__init__.py @@ -0,0 +1,11 @@ +from app.services.google_drive.tool_metadata_service import ( + GoogleDriveAccount, + GoogleDriveFile, + GoogleDriveToolMetadataService, +) + +__all__ = [ + "GoogleDriveAccount", + "GoogleDriveFile", + "GoogleDriveToolMetadataService", +] diff --git a/surfsense_backend/app/services/google_drive/tool_metadata_service.py b/surfsense_backend/app/services/google_drive/tool_metadata_service.py new file mode 100644 index 000000000..8bc60ecbc --- /dev/null +++ b/surfsense_backend/app/services/google_drive/tool_metadata_service.py @@ -0,0 +1,149 @@ +from dataclasses import dataclass + +from sqlalchemy import and_, func +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.future import select + +from app.db import ( + Document, + DocumentType, + SearchSourceConnector, + SearchSourceConnectorType, +) + + +@dataclass +class GoogleDriveAccount: + id: int + name: str + + @classmethod + def from_connector(cls, connector: SearchSourceConnector) -> "GoogleDriveAccount": + return cls(id=connector.id, name=connector.name) + + def to_dict(self) -> dict: + return {"id": self.id, "name": self.name} + + +@dataclass +class GoogleDriveFile: + file_id: str + name: str + mime_type: str + web_view_link: str + connector_id: int + document_id: int + + @classmethod + def from_document(cls, document: Document) -> "GoogleDriveFile": + meta = document.document_metadata or {} + return cls( + file_id=meta.get("google_drive_file_id", ""), + name=meta.get("google_drive_file_name", document.title), + mime_type=meta.get("google_drive_mime_type", ""), + web_view_link=meta.get("web_view_link", ""), + connector_id=document.connector_id, + document_id=document.id, + ) + + def to_dict(self) -> dict: + return { + "file_id": self.file_id, + "name": self.name, + "mime_type": self.mime_type, + "web_view_link": self.web_view_link, + "connector_id": self.connector_id, + "document_id": self.document_id, + } + + +class GoogleDriveToolMetadataService: + 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_google_drive_accounts(search_space_id, user_id) + + if not accounts: + return { + "accounts": [], + "supported_types": [], + "error": "No Google Drive account connected", + } + + return { + "accounts": [acc.to_dict() for acc in accounts], + "supported_types": ["google_doc", "google_sheet"], + } + + async def get_trash_context( + self, search_space_id: int, user_id: str, file_name: str + ) -> dict: + result = await self._db_session.execute( + select(Document) + .join( + SearchSourceConnector, Document.connector_id == SearchSourceConnector.id + ) + .filter( + and_( + Document.search_space_id == search_space_id, + Document.document_type == DocumentType.GOOGLE_DRIVE_FILE, + func.lower(Document.title) == func.lower(file_name), + SearchSourceConnector.user_id == user_id, + ) + ) + ) + document = result.scalars().first() + + if not document: + return { + "error": ( + f"File '{file_name}' not found in your indexed Google Drive files. " + "This could mean: (1) the file doesn't exist, (2) it hasn't been indexed yet, " + "or (3) the file name is different." + ) + } + + if not document.connector_id: + return {"error": "Document has no associated connector"} + + result = await self._db_session.execute( + select(SearchSourceConnector).filter( + and_( + SearchSourceConnector.id == document.connector_id, + SearchSourceConnector.user_id == user_id, + SearchSourceConnector.connector_type + == SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR, + ) + ) + ) + connector = result.scalars().first() + + if not connector: + return {"error": "Connector not found or access denied"} + + account = GoogleDriveAccount.from_connector(connector) + file = GoogleDriveFile.from_document(document) + + return { + "account": account.to_dict(), + "file": file.to_dict(), + } + + async def _get_google_drive_accounts( + self, search_space_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.user_id == user_id, + SearchSourceConnector.connector_type + == SearchSourceConnectorType.GOOGLE_DRIVE_CONNECTOR, + ) + ) + .order_by(SearchSourceConnector.last_indexed_at.desc()) + ) + connectors = result.scalars().all() + return [GoogleDriveAccount.from_connector(c) for c in connectors] diff --git a/surfsense_backend/app/tasks/chat/stream_new_chat.py b/surfsense_backend/app/tasks/chat/stream_new_chat.py index 4ba12c171..a1d0b5cec 100644 --- a/surfsense_backend/app/tasks/chat/stream_new_chat.py +++ b/surfsense_backend/app/tasks/chat/stream_new_chat.py @@ -9,14 +9,15 @@ Supports loading LLM configurations from: - NewLLMConfig database table (positive IDs for user-created configs with prompt settings) """ +import asyncio import json +import logging +import re from collections.abc import AsyncGenerator -from dataclasses import dataclass +from dataclasses import dataclass, field from typing import Any from uuid import UUID -import logging - from langchain_core.messages import HumanMessage from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.future import select @@ -30,7 +31,13 @@ from app.agents.new_chat.llm_config import ( load_agent_config, load_llm_config_from_yaml, ) -from app.db import ChatVisibility, Document, Report, SurfsenseDocsDocument, async_session_maker +from app.db import ( + ChatVisibility, + Document, + Report, + SurfsenseDocsDocument, + async_session_maker, +) from app.prompts import TITLE_GENERATION_PROMPT_TEMPLATE from app.services.chat_session_state_service import ( clear_ai_responding, @@ -187,6 +194,7 @@ class StreamResult: accumulated_text: str = "" is_interrupted: bool = False interrupt_value: dict[str, Any] | None = None + sandbox_files: list[str] = field(default_factory=list) async def _stream_agent_events( @@ -404,6 +412,21 @@ async def _stream_agent_events( status="in_progress", items=last_active_step_items, ) + elif tool_name == "execute": + cmd = ( + tool_input.get("command", "") + if isinstance(tool_input, dict) + else str(tool_input) + ) + display_cmd = cmd[:80] + ("…" if len(cmd) > 80 else "") + last_active_step_title = "Running command" + last_active_step_items = [f"$ {display_cmd}"] + yield streaming_service.format_thinking_step( + step_id=tool_step_id, + title="Running command", + status="in_progress", + items=last_active_step_items, + ) else: last_active_step_title = f"Using {tool_name.replace('_', ' ')}" last_active_step_items = [] @@ -620,6 +643,32 @@ async def _stream_agent_events( status="completed", items=completed_items, ) + elif tool_name == "execute": + raw_text = ( + tool_output.get("result", "") + if isinstance(tool_output, dict) + else str(tool_output) + ) + m = re.match(r"^Exit code:\s*(\d+)", raw_text) + exit_code_val = int(m.group(1)) if m else None + if exit_code_val is not None and exit_code_val == 0: + completed_items = [ + *last_active_step_items, + "Completed successfully", + ] + elif exit_code_val is not None: + completed_items = [ + *last_active_step_items, + f"Exit code: {exit_code_val}", + ] + else: + completed_items = [*last_active_step_items, "Finished"] + yield streaming_service.format_thinking_step( + step_id=original_step_id, + title="Running command", + status="completed", + items=completed_items, + ) elif tool_name == "ls": if isinstance(tool_output, dict): ls_output = tool_output.get("result", "") @@ -804,6 +853,8 @@ async def _stream_agent_events( "create_linear_issue", "update_linear_issue", "delete_linear_issue", + "create_google_drive_file", + "delete_google_drive_file", ): yield streaming_service.format_tool_output_available( tool_call_id, @@ -811,6 +862,36 @@ async def _stream_agent_events( if isinstance(tool_output, dict) else {"result": tool_output}, ) + elif tool_name == "execute": + raw_text = ( + tool_output.get("result", "") + if isinstance(tool_output, dict) + else str(tool_output) + ) + exit_code: int | None = None + output_text = raw_text + m = re.match(r"^Exit code:\s*(\d+)", raw_text) + if m: + exit_code = int(m.group(1)) + om = re.search(r"\nOutput:\n([\s\S]*)", raw_text) + output_text = om.group(1) if om else "" + thread_id_str = config.get("configurable", {}).get("thread_id", "") + + for sf_match in re.finditer( + r"^SANDBOX_FILE:\s*(.+)$", output_text, re.MULTILINE + ): + fpath = sf_match.group(1).strip() + if fpath and fpath not in result.sandbox_files: + result.sandbox_files.append(fpath) + + yield streaming_service.format_tool_output_available( + tool_call_id, + { + "exit_code": exit_code, + "output": output_text, + "thread_id": thread_id_str, + }, + ) else: yield streaming_service.format_tool_output_available( tool_call_id, @@ -879,6 +960,36 @@ async def _stream_agent_events( yield streaming_service.format_interrupt_request(result.interrupt_value) +def _try_persist_and_delete_sandbox( + thread_id: int, + sandbox_files: list[str], +) -> None: + """Fire-and-forget: persist sandbox files locally then delete the sandbox.""" + from app.agents.new_chat.sandbox import ( + is_sandbox_enabled, + persist_and_delete_sandbox, + ) + + if not is_sandbox_enabled(): + return + + async def _run() -> None: + try: + await persist_and_delete_sandbox(thread_id, sandbox_files) + except Exception: + logging.getLogger(__name__).warning( + "persist_and_delete_sandbox failed for thread %s", + thread_id, + exc_info=True, + ) + + try: + loop = asyncio.get_running_loop() + loop.create_task(_run()) + except RuntimeError: + pass + + async def stream_new_chat( user_query: str, search_space_id: int, @@ -915,6 +1026,7 @@ async def stream_new_chat( str: SSE formatted response strings """ streaming_service = VercelStreamingService() + stream_result = StreamResult() try: # Mark AI as responding to this user for live collaboration @@ -975,6 +1087,22 @@ async def stream_new_chat( # Get the PostgreSQL checkpointer for persistent conversation memory checkpointer = await get_checkpointer() + # Optionally provision a sandboxed code execution environment + sandbox_backend = None + from app.agents.new_chat.sandbox import ( + get_or_create_sandbox, + is_sandbox_enabled, + ) + + if is_sandbox_enabled(): + try: + sandbox_backend = await get_or_create_sandbox(chat_id) + except Exception as sandbox_err: + logging.getLogger(__name__).warning( + "Sandbox creation failed, continuing without execute tool: %s", + sandbox_err, + ) + visibility = thread_visibility or ChatVisibility.PRIVATE agent = await create_surfsense_deep_agent( llm=llm, @@ -987,6 +1115,7 @@ async def stream_new_chat( agent_config=agent_config, firecrawl_api_key=firecrawl_api_key, thread_visibility=visibility, + sandbox_backend=sandbox_backend, ) # Build input with message history @@ -1180,7 +1309,6 @@ async def stream_new_chat( items=initial_items, ) - stream_result = StreamResult() async for sse in _stream_agent_events( agent=agent, config=config, @@ -1294,6 +1422,8 @@ async def stream_new_chat( "Failed to clear AI responding state for thread %s", chat_id ) + _try_persist_and_delete_sandbox(chat_id, stream_result.sandbox_files) + async def stream_resume_chat( chat_id: int, @@ -1305,6 +1435,7 @@ async def stream_resume_chat( thread_visibility: ChatVisibility | None = None, ) -> AsyncGenerator[str, None]: streaming_service = VercelStreamingService() + stream_result = StreamResult() try: if user_id: @@ -1352,6 +1483,22 @@ async def stream_resume_chat( firecrawl_api_key = webcrawler_connector.config.get("FIRECRAWL_API_KEY") checkpointer = await get_checkpointer() + + sandbox_backend = None + from app.agents.new_chat.sandbox import ( + get_or_create_sandbox, + is_sandbox_enabled, + ) + + if is_sandbox_enabled(): + try: + sandbox_backend = await get_or_create_sandbox(chat_id) + except Exception as sandbox_err: + logging.getLogger(__name__).warning( + "Sandbox creation failed, continuing without execute tool: %s", + sandbox_err, + ) + visibility = thread_visibility or ChatVisibility.PRIVATE agent = await create_surfsense_deep_agent( @@ -1365,6 +1512,7 @@ async def stream_resume_chat( agent_config=agent_config, firecrawl_api_key=firecrawl_api_key, thread_visibility=visibility, + sandbox_backend=sandbox_backend, ) # Release the transaction before streaming (same rationale as stream_new_chat). @@ -1380,7 +1528,6 @@ async def stream_resume_chat( yield streaming_service.format_message_start() yield streaming_service.format_start_step() - stream_result = StreamResult() async for sse in _stream_agent_events( agent=agent, config=config, @@ -1423,3 +1570,5 @@ async def stream_resume_chat( logging.getLogger(__name__).warning( "Failed to clear AI responding state for thread %s", chat_id ) + + _try_persist_and_delete_sandbox(chat_id, stream_result.sandbox_files) diff --git a/surfsense_backend/app/tasks/document_processors/file_processors.py b/surfsense_backend/app/tasks/document_processors/file_processors.py index 041053a04..181c2fb31 100644 --- a/surfsense_backend/app/tasks/document_processors/file_processors.py +++ b/surfsense_backend/app/tasks/document_processors/file_processors.py @@ -18,6 +18,7 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.config import config as app_config from app.db import Document, DocumentStatus, DocumentType, Log, Notification +from app.indexing_pipeline.adapters.file_upload_adapter import index_uploaded_file from app.services.llm_service import get_user_long_context_llm from app.services.notification_service import NotificationService from app.services.task_logging_service import TaskLoggingService @@ -33,7 +34,6 @@ from .base import ( check_document_by_unique_identifier, check_duplicate_document, get_current_timestamp, - safe_set_chunks, ) from .markdown_processor import add_received_markdown_file_document @@ -1632,6 +1632,8 @@ async def process_file_in_background_with_document( from app.config import config as app_config from app.services.llm_service import get_user_long_context_llm + doc_id = document.id + try: markdown_content = None etl_service = None @@ -1855,7 +1857,7 @@ async def process_file_in_background_with_document( content_hash = generate_content_hash(markdown_content, search_space_id) existing_by_content = await check_duplicate_document(session, content_hash) - if existing_by_content and existing_by_content.id != document.id: + if existing_by_content and existing_by_content.id != doc_id: # Duplicate content found - mark this document as failed logging.info( f"Duplicate content detected for {filename}, " @@ -1863,7 +1865,7 @@ async def process_file_in_background_with_document( ) return None - # ===== STEP 3: Generate embeddings and chunks ===== + # ===== STEP 3+4: Index via pipeline ===== if notification: await NotificationService.document_processing.notify_processing_progress( session, notification, stage="chunking" @@ -1871,57 +1873,23 @@ async def process_file_in_background_with_document( user_llm = await get_user_long_context_llm(session, user_id, search_space_id) - if user_llm: - document_metadata = { - "file_name": filename, - "etl_service": etl_service, - "document_type": "File Document", - } - summary_content, summary_embedding = await generate_document_summary( - markdown_content, user_llm, document_metadata - ) - else: - # Fallback: use truncated content as summary - summary_content = markdown_content[:4000] - from app.config import config - - summary_embedding = config.embedding_model_instance.embed(summary_content) - - chunks = await create_document_chunks(markdown_content) - - # ===== STEP 4: Update document to READY ===== - from sqlalchemy.orm.attributes import flag_modified - - document.title = filename - document.content = summary_content - document.content_hash = content_hash - document.embedding = summary_embedding - document.document_metadata = { - "FILE_NAME": filename, - "ETL_SERVICE": etl_service or "UNKNOWN", - **(document.document_metadata or {}), - } - flag_modified(document, "document_metadata") - - # Use safe_set_chunks to avoid async issues - safe_set_chunks(document, chunks) - - document.source_markdown = markdown_content - document.content_needs_reindexing = False - document.updated_at = get_current_timestamp() - document.status = DocumentStatus.ready() # Shows checkmark in UI - - await session.commit() - await session.refresh(document) + await index_uploaded_file( + markdown_content=markdown_content, + filename=filename, + etl_service=etl_service, + search_space_id=search_space_id, + user_id=user_id, + session=session, + llm=user_llm, + ) await task_logger.log_task_success( log_entry, f"Successfully processed file: {filename}", { - "document_id": document.id, + "document_id": doc_id, "content_hash": content_hash, "file_type": etl_service, - "chunks_count": len(chunks), }, ) @@ -1946,7 +1914,7 @@ async def process_file_in_background_with_document( { "error_type": type(e).__name__, "filename": filename, - "document_id": document.id, + "document_id": doc_id, }, ) logging.error(f"Error processing file with document: {error_message}") diff --git a/surfsense_backend/pyproject.toml b/surfsense_backend/pyproject.toml index 7f52d4881..36dc4e7c1 100644 --- a/surfsense_backend/pyproject.toml +++ b/surfsense_backend/pyproject.toml @@ -17,6 +17,7 @@ dependencies = [ "kokoro>=0.9.4", "linkup-sdk>=0.2.4", "llama-cloud-services>=0.6.25", + "Markdown>=3.7", "markdownify>=0.14.1", "notion-client>=2.3.0", "numpy>=1.24.0", @@ -65,11 +66,16 @@ dependencies = [ "pypandoc_binary>=1.16.2", "typst>=0.14.0", "deepagents>=0.4.3", + "langchain-daytona>=0.0.2", ] [dependency-groups] dev = [ "ruff>=0.12.5", + "pytest>=9.0.2", + "pytest-asyncio>=1.3.0", + "pytest-mock>=3.14", + "httpx>=0.28.1", ] [tool.ruff] @@ -157,10 +163,28 @@ line-ending = "auto" [tool.ruff.lint.isort] # Group imports by type -known-first-party = ["app"] +known-first-party = ["app", "tests"] force-single-line = false combine-as-imports = true +[tool.pytest.ini_options] +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "session" +asyncio_default_test_loop_scope = "session" +testpaths = ["tests"] +python_files = ["test_*.py"] +python_classes = ["Test*"] +python_functions = ["test_*"] +addopts = "-v --tb=short -x --strict-markers -ra --durations=5" +markers = [ + "unit: pure logic tests, no DB or external services", + "integration: tests that require a real PostgreSQL database", + "e2e: tests requiring a running backend and real HTTP calls" +] +filterwarnings = [ + "ignore::UserWarning:chonkie", +] + [tool.setuptools.packages.find] where = ["."] include = ["app*", "alembic*"] diff --git a/surfsense_backend/tests/__init__.py b/surfsense_backend/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/conftest.py b/surfsense_backend/tests/conftest.py new file mode 100644 index 000000000..2c8e81fa3 --- /dev/null +++ b/surfsense_backend/tests/conftest.py @@ -0,0 +1,63 @@ +"""Root conftest — shared fixtures available to all test modules.""" + +from __future__ import annotations + +import os +from pathlib import Path + +import pytest +from dotenv import load_dotenv + +from app.db import DocumentType +from app.indexing_pipeline.connector_document import ConnectorDocument + +load_dotenv(Path(__file__).resolve().parent.parent / ".env") + +# Shared DB URL referenced by both e2e and integration helper functions. +DATABASE_URL = os.environ.get( + "TEST_DATABASE_URL", + os.environ.get("DATABASE_URL", ""), +).replace("postgresql+asyncpg://", "postgresql://") + + +# --------------------------------------------------------------------------- +# Unit test fixtures +# --------------------------------------------------------------------------- + + +@pytest.fixture +def sample_user_id() -> str: + return "00000000-0000-0000-0000-000000000001" + + +@pytest.fixture +def sample_search_space_id() -> int: + return 1 + + +@pytest.fixture +def sample_connector_id() -> int: + return 42 + + +@pytest.fixture +def make_connector_document(): + """ + Generic factory for unit tests. Overridden in tests/integration/conftest.py + with real DB-backed IDs for integration tests. + """ + + def _make(**overrides): + defaults = { + "title": "Test Document", + "source_markdown": "## Heading\n\nSome content.", + "unique_id": "test-id-001", + "document_type": DocumentType.CLICKUP_CONNECTOR, + "search_space_id": 1, + "connector_id": 1, + "created_by_id": "00000000-0000-0000-0000-000000000001", + } + defaults.update(overrides) + return ConnectorDocument(**defaults) + + return _make diff --git a/surfsense_backend/tests/e2e/__init__.py b/surfsense_backend/tests/e2e/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/e2e/conftest.py b/surfsense_backend/tests/e2e/conftest.py new file mode 100644 index 000000000..4c418612c --- /dev/null +++ b/surfsense_backend/tests/e2e/conftest.py @@ -0,0 +1,198 @@ +"""E2e conftest — fixtures that require a running backend + database.""" + +from __future__ import annotations + +from collections.abc import AsyncGenerator + +import asyncpg +import httpx +import pytest + +from tests.conftest import DATABASE_URL +from tests.utils.helpers import ( + BACKEND_URL, + TEST_EMAIL, + auth_headers, + delete_document, + get_auth_token, + get_search_space_id, +) + +# --------------------------------------------------------------------------- +# Backend connectivity fixtures +# --------------------------------------------------------------------------- + + +@pytest.fixture(scope="session") +def backend_url() -> str: + return BACKEND_URL + + +@pytest.fixture(scope="session") +async def auth_token(backend_url: str) -> str: + """Authenticate once per session, registering the user if needed.""" + async with httpx.AsyncClient(base_url=backend_url, timeout=30.0) as client: + return await get_auth_token(client) + + +@pytest.fixture(scope="session") +async def search_space_id(backend_url: str, auth_token: str) -> int: + """Discover the first search space belonging to the test user.""" + async with httpx.AsyncClient(base_url=backend_url, timeout=30.0) as client: + return await get_search_space_id(client, auth_token) + + +@pytest.fixture(scope="session", autouse=True) +async def _purge_test_search_space( + search_space_id: int, +): + """ + Delete all documents in the test search space before the session starts. + + Uses direct database access to bypass the API's 409 protection on + pending/processing documents. This ensures stuck documents from + previous crashed runs are always cleaned up. + """ + deleted = await _force_delete_documents_db(search_space_id) + if deleted: + print( + f"\n[purge] Deleted {deleted} stale document(s) from search space {search_space_id}" + ) + yield + + +@pytest.fixture(scope="session") +def headers(auth_token: str) -> dict[str, str]: + """Authorization headers reused across all tests in the session.""" + return auth_headers(auth_token) + + +@pytest.fixture +async def client(backend_url: str) -> AsyncGenerator[httpx.AsyncClient]: + """Per-test async HTTP client pointing at the running backend.""" + async with httpx.AsyncClient(base_url=backend_url, timeout=180.0) as c: + yield c + + +@pytest.fixture +def cleanup_doc_ids() -> list[int]: + """Accumulator for document IDs that should be deleted after the test.""" + return [] + + +@pytest.fixture(autouse=True) +async def _cleanup_documents( + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], +): + """ + Runs after every test. Tries the API first for clean deletes, then + falls back to direct DB access for any stuck documents. + """ + yield + + remaining_ids: list[int] = [] + for doc_id in cleanup_doc_ids: + try: + resp = await delete_document(client, headers, doc_id) + if resp.status_code == 409: + remaining_ids.append(doc_id) + except Exception: + remaining_ids.append(doc_id) + + if remaining_ids: + conn = await asyncpg.connect(DATABASE_URL) + try: + await conn.execute( + "DELETE FROM documents WHERE id = ANY($1::int[])", + remaining_ids, + ) + finally: + await conn.close() + + +# --------------------------------------------------------------------------- +# Page-limit helpers (direct DB access) +# --------------------------------------------------------------------------- + + +async def _force_delete_documents_db(search_space_id: int) -> int: + """ + Bypass the API and delete documents directly from the database. + + This handles stuck documents in pending/processing state that the API + refuses to delete (409 Conflict). Chunks are cascade-deleted by the + foreign key constraint. + + Returns the number of deleted rows. + """ + conn = await asyncpg.connect(DATABASE_URL) + try: + result = await conn.execute( + "DELETE FROM documents WHERE search_space_id = $1", + search_space_id, + ) + return int(result.split()[-1]) + finally: + await conn.close() + + +async def _get_user_page_usage(email: str) -> tuple[int, int]: + """Return ``(pages_used, pages_limit)`` for the given user.""" + conn = await asyncpg.connect(DATABASE_URL) + try: + row = await conn.fetchrow( + 'SELECT pages_used, pages_limit FROM "user" WHERE email = $1', + email, + ) + assert row is not None, f"User {email!r} not found in database" + return row["pages_used"], row["pages_limit"] + finally: + await conn.close() + + +async def _set_user_page_limits( + email: str, *, pages_used: int, pages_limit: int +) -> None: + """Overwrite ``pages_used`` and ``pages_limit`` for the given user.""" + conn = await asyncpg.connect(DATABASE_URL) + try: + await conn.execute( + 'UPDATE "user" SET pages_used = $1, pages_limit = $2 WHERE email = $3', + pages_used, + pages_limit, + email, + ) + finally: + await conn.close() + + +@pytest.fixture +async def page_limits(): + """ + Fixture that exposes helpers for manipulating the test user's page limits. + + Automatically restores the original values after each test. + + Usage inside a test:: + + await page_limits.set(pages_used=0, pages_limit=100) + used, limit = await page_limits.get() + """ + + class _PageLimits: + async def set(self, *, pages_used: int, pages_limit: int) -> None: + await _set_user_page_limits( + TEST_EMAIL, pages_used=pages_used, pages_limit=pages_limit + ) + + async def get(self) -> tuple[int, int]: + return await _get_user_page_usage(TEST_EMAIL) + + original = await _get_user_page_usage(TEST_EMAIL) + yield _PageLimits() + await _set_user_page_limits( + TEST_EMAIL, pages_used=original[0], pages_limit=original[1] + ) diff --git a/surfsense_backend/tests/e2e/test_document_upload.py b/surfsense_backend/tests/e2e/test_document_upload.py new file mode 100644 index 000000000..a47b93d52 --- /dev/null +++ b/surfsense_backend/tests/e2e/test_document_upload.py @@ -0,0 +1,592 @@ +""" +End-to-end tests for manual document upload. + +These tests exercise the full pipeline: + API upload → Celery task → ETL extraction → chunking → embedding → DB storage + +Prerequisites (must be running): + - FastAPI backend + - PostgreSQL + pgvector + - Redis + - Celery worker +""" + +from __future__ import annotations + +import shutil +from pathlib import Path + +import httpx +import pytest + +from tests.utils.helpers import ( + FIXTURES_DIR, + delete_document, + get_document, + poll_document_status, + upload_file, + upload_multiple_files, +) + +pytestmark = pytest.mark.e2e + +# --------------------------------------------------------------------------- +# Helpers local to this module +# --------------------------------------------------------------------------- + + +def _assert_document_ready(doc: dict, *, expected_filename: str) -> None: + """Common assertions for a successfully processed document.""" + assert doc["title"] == expected_filename + assert doc["document_type"] == "FILE" + assert doc["content"], "Document content (summary) should not be empty" + assert doc["content_hash"], "content_hash should be set" + assert doc["document_metadata"].get("FILE_NAME") == expected_filename + + +# --------------------------------------------------------------------------- +# Test A: Upload a .txt file (direct read path — no ETL service needed) +# --------------------------------------------------------------------------- + + +class TestTxtFileUpload: + """Upload a plain-text file and verify the full pipeline.""" + + async def test_upload_txt_returns_document_id( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_id + ) + assert resp.status_code == 200 + + body = resp.json() + assert body["pending_files"] >= 1 + assert len(body["document_ids"]) >= 1 + cleanup_doc_ids.extend(body["document_ids"]) + + async def test_txt_processing_reaches_ready( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_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 + ) + for did in doc_ids: + assert statuses[did]["status"]["state"] == "ready" + + async def test_txt_document_fields_populated( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_id + ) + 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 + ) + + doc = await get_document(client, headers, doc_ids[0]) + _assert_document_ready(doc, expected_filename="sample.txt") + assert doc["document_metadata"]["ETL_SERVICE"] == "MARKDOWN" + + +# --------------------------------------------------------------------------- +# Test B: Upload a .md file (markdown direct-read path) +# --------------------------------------------------------------------------- + + +class TestMarkdownFileUpload: + """Upload a Markdown file and verify the full pipeline.""" + + async def test_md_processing_reaches_ready( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.md", search_space_id=search_space_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 + ) + for did in doc_ids: + assert statuses[did]["status"]["state"] == "ready" + + async def test_md_document_fields_populated( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.md", search_space_id=search_space_id + ) + 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 + ) + + doc = await get_document(client, headers, doc_ids[0]) + _assert_document_ready(doc, expected_filename="sample.md") + assert doc["document_metadata"]["ETL_SERVICE"] == "MARKDOWN" + + +# --------------------------------------------------------------------------- +# Test C: Upload a .pdf file (ETL path — Docling / Unstructured) +# --------------------------------------------------------------------------- + + +class TestPdfFileUpload: + """Upload a PDF and verify it goes through the ETL extraction pipeline.""" + + async def test_pdf_processing_reaches_ready( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.pdf", search_space_id=search_space_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 + ) + for did in doc_ids: + assert statuses[did]["status"]["state"] == "ready" + + async def test_pdf_document_fields_populated( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.pdf", search_space_id=search_space_id + ) + 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 + ) + + doc = await get_document(client, headers, doc_ids[0]) + _assert_document_ready(doc, expected_filename="sample.pdf") + assert doc["document_metadata"]["ETL_SERVICE"] in { + "DOCLING", + "UNSTRUCTURED", + "LLAMACLOUD", + } + + +# --------------------------------------------------------------------------- +# Test D: Upload multiple files in a single request +# --------------------------------------------------------------------------- + + +class TestMultiFileUpload: + """Upload several files at once and verify all are processed.""" + + async def test_multi_upload_returns_all_ids( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_multiple_files( + client, + headers, + ["sample.txt", "sample.md"], + search_space_id=search_space_id, + ) + assert resp.status_code == 200 + + body = resp.json() + assert body["pending_files"] == 2 + assert len(body["document_ids"]) == 2 + cleanup_doc_ids.extend(body["document_ids"]) + + async def test_multi_upload_all_reach_ready( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_multiple_files( + client, + headers, + ["sample.txt", "sample.md"], + search_space_id=search_space_id, + ) + 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 + ) + for did in doc_ids: + assert statuses[did]["status"]["state"] == "ready" + + +# --------------------------------------------------------------------------- +# Test E: Duplicate file upload (same file uploaded twice) +# --------------------------------------------------------------------------- + + +class TestDuplicateFileUpload: + """ + Uploading the exact same file a second time should be detected as a + duplicate via ``unique_identifier_hash``. + """ + + async def test_duplicate_file_is_skipped( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + # First upload + resp1 = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_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 + ) + + # Second upload of the same file + resp2 = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_id + ) + assert resp2.status_code == 200 + + body2 = resp2.json() + assert body2["skipped_duplicates"] >= 1 + assert len(body2["duplicate_document_ids"]) >= 1 + cleanup_doc_ids.extend(body2.get("document_ids", [])) + + +# --------------------------------------------------------------------------- +# Test F: Duplicate content detection (different name, same content) +# --------------------------------------------------------------------------- + + +class TestDuplicateContentDetection: + """ + Uploading a file with a different name but identical content should be + detected as duplicate content via ``content_hash``. + """ + + async def test_same_content_different_name_detected( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + tmp_path: Path, + ): + # First upload + resp1 = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_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 + ) + + # Copy fixture content to a differently named temp file + src = FIXTURES_DIR / "sample.txt" + dest = tmp_path / "renamed_sample.txt" + shutil.copy2(src, dest) + + with open(dest, "rb") as f: + resp2 = await client.post( + "/api/v1/documents/fileupload", + headers=headers, + files={"files": ("renamed_sample.txt", f)}, + data={"search_space_id": str(search_space_id)}, + ) + assert resp2.status_code == 200 + second_ids = resp2.json()["document_ids"] + cleanup_doc_ids.extend(second_ids) + assert second_ids, ( + "Expected at least one document id for renamed duplicate content upload" + ) + + statuses = await poll_document_status( + client, headers, second_ids, search_space_id=search_space_id + ) + for did in second_ids: + assert statuses[did]["status"]["state"] == "failed" + assert "duplicate" in statuses[did]["status"].get("reason", "").lower() + + +# --------------------------------------------------------------------------- +# Test G: Empty / corrupt file handling +# --------------------------------------------------------------------------- + + +class TestEmptyFileUpload: + """An empty file should be processed but ultimately fail gracefully.""" + + async def test_empty_pdf_fails( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "empty.pdf", search_space_id=search_space_id + ) + assert resp.status_code == 200 + + doc_ids = resp.json()["document_ids"] + cleanup_doc_ids.extend(doc_ids) + 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 + ) + for did in doc_ids: + assert statuses[did]["status"]["state"] == "failed" + assert statuses[did]["status"].get("reason"), ( + "Failed document should include a reason" + ) + + +# --------------------------------------------------------------------------- +# Test H: Upload without authentication +# --------------------------------------------------------------------------- + + +class TestUnauthenticatedUpload: + """Requests without a valid JWT should be rejected.""" + + async def test_upload_without_auth_returns_401( + self, + client: httpx.AsyncClient, + search_space_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)}, + ) + assert resp.status_code == 401 + + +# --------------------------------------------------------------------------- +# Test I: Upload with no files attached +# --------------------------------------------------------------------------- + + +class TestNoFilesUpload: + """Submitting the form with zero files should return a validation error.""" + + async def test_no_files_returns_error( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + ): + resp = await client.post( + "/api/v1/documents/fileupload", + headers=headers, + data={"search_space_id": str(search_space_id)}, + ) + assert resp.status_code in {400, 422} + + +# --------------------------------------------------------------------------- +# Test J: Document deletion after successful upload +# --------------------------------------------------------------------------- + + +class TestDocumentDeletion: + """Upload, wait for ready, delete, then verify it's gone.""" + + async def test_delete_processed_document( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + ): + resp = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_id + ) + doc_ids = resp.json()["document_ids"] + await poll_document_status( + client, headers, doc_ids, search_space_id=search_space_id + ) + + del_resp = await delete_document(client, headers, doc_ids[0]) + assert del_resp.status_code == 200 + + get_resp = await client.get( + f"/api/v1/documents/{doc_ids[0]}", + headers=headers, + ) + assert get_resp.status_code == 404 + + +# --------------------------------------------------------------------------- +# Test K: Cannot delete a document while it is still processing +# --------------------------------------------------------------------------- + + +class TestDeleteWhileProcessing: + """Attempting to delete a pending/processing document should be rejected.""" + + async def test_delete_pending_document_returns_409( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.pdf", search_space_id=search_space_id + ) + assert resp.status_code == 200 + doc_ids = resp.json()["document_ids"] + cleanup_doc_ids.extend(doc_ids) + + # Immediately try to delete before processing finishes + del_resp = await delete_document(client, headers, doc_ids[0]) + assert del_resp.status_code == 409 + + # Let it finish so cleanup can work + await poll_document_status( + client, headers, doc_ids, search_space_id=search_space_id, timeout=300.0 + ) + + +# --------------------------------------------------------------------------- +# Test L: Status polling returns correct structure +# --------------------------------------------------------------------------- + + +class TestDocumentSearchability: + """After upload reaches ready, the document must appear in the title search.""" + + async def test_uploaded_document_appears_in_search( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_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 + ) + + search_resp = await client.get( + "/api/v1/documents/search", + headers=headers, + params={"title": "sample", "search_space_id": search_space_id}, + ) + assert search_resp.status_code == 200 + + result_ids = [d["id"] for d in search_resp.json()["items"]] + assert doc_ids[0] in result_ids, ( + f"Uploaded document {doc_ids[0]} not found in search results: {result_ids}" + ) + + +class TestStatusPolling: + """Verify the status endpoint returns well-formed responses.""" + + async def test_status_endpoint_returns_items( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + resp = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_id + ) + doc_ids = resp.json()["document_ids"] + cleanup_doc_ids.extend(doc_ids) + + status_resp = await client.get( + "/api/v1/documents/status", + headers=headers, + params={ + "search_space_id": search_space_id, + "document_ids": ",".join(str(d) for d in doc_ids), + }, + ) + assert status_resp.status_code == 200 + + body = status_resp.json() + assert "items" in body + assert len(body["items"]) == len(doc_ids) + for item in body["items"]: + assert "id" in item + assert "status" in item + assert "state" in item["status"] + assert item["status"]["state"] in { + "pending", + "processing", + "ready", + "failed", + } + + await poll_document_status( + client, headers, doc_ids, search_space_id=search_space_id + ) diff --git a/surfsense_backend/tests/e2e/test_page_limits.py b/surfsense_backend/tests/e2e/test_page_limits.py new file mode 100644 index 000000000..092772ceb --- /dev/null +++ b/surfsense_backend/tests/e2e/test_page_limits.py @@ -0,0 +1,323 @@ +""" +End-to-end tests for page-limit enforcement during document upload. + +These tests manipulate the test user's ``pages_used`` / ``pages_limit`` +columns directly in the database and then exercise the upload pipeline to +verify that: + + - Uploads are rejected *before* ETL when the limit is exhausted. + - ``pages_used`` increases after a successful upload. + - A ``page_limit_exceeded`` notification is created on rejection. + - ``pages_used`` is not modified when a document fails processing. + +All tests reuse the existing small fixtures (``sample.pdf``, ``sample.txt``) +so no additional processing time is introduced. + +Prerequisites (must be running): + - FastAPI backend + - PostgreSQL + pgvector + - Redis + - Celery worker +""" + +from __future__ import annotations + +import httpx +import pytest + +from tests.utils.helpers import ( + get_notifications, + poll_document_status, + upload_file, +) + +pytestmark = pytest.mark.e2e + + +# --------------------------------------------------------------------------- +# Test A: Successful upload increments pages_used +# --------------------------------------------------------------------------- + + +class TestPageUsageIncrementsOnSuccess: + """After a successful PDF upload the user's ``pages_used`` must grow.""" + + async def test_pages_used_increases_after_pdf_upload( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + page_limits, + ): + await page_limits.set(pages_used=0, pages_limit=1000) + + resp = await upload_file( + client, headers, "sample.pdf", search_space_id=search_space_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 + ) + for did in doc_ids: + assert statuses[did]["status"]["state"] == "ready" + + used, _ = await page_limits.get() + assert used > 0, "pages_used should have increased after successful processing" + + +# --------------------------------------------------------------------------- +# Test B: Upload rejected when page limit is fully exhausted +# --------------------------------------------------------------------------- + + +class TestUploadRejectedWhenLimitExhausted: + """ + When ``pages_used == pages_limit`` (zero remaining) the document + should reach ``failed`` status with a page-limit reason. + """ + + async def test_pdf_fails_when_no_pages_remaining( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + page_limits, + ): + await page_limits.set(pages_used=100, pages_limit=100) + + resp = await upload_file( + client, headers, "sample.pdf", search_space_id=search_space_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 + ) + for did in doc_ids: + assert statuses[did]["status"]["state"] == "failed" + reason = statuses[did]["status"].get("reason", "").lower() + assert "page limit" in reason, ( + f"Expected 'page limit' in failure reason, got: {reason!r}" + ) + + async def test_pages_used_unchanged_after_limit_rejection( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + page_limits, + ): + await page_limits.set(pages_used=50, pages_limit=50) + + resp = await upload_file( + client, headers, "sample.pdf", search_space_id=search_space_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 + ) + + used, _ = await page_limits.get() + assert used == 50, ( + f"pages_used should remain 50 after rejected upload, got {used}" + ) + + +# --------------------------------------------------------------------------- +# Test C: Page-limit notification is created on rejection +# --------------------------------------------------------------------------- + + +class TestPageLimitNotification: + """A ``page_limit_exceeded`` notification must be created when upload + is rejected due to the limit.""" + + async def test_page_limit_exceeded_notification_created( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + page_limits, + ): + await page_limits.set(pages_used=100, pages_limit=100) + + resp = await upload_file( + client, headers, "sample.pdf", search_space_id=search_space_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 + ) + + notifications = await get_notifications( + client, + headers, + type_filter="page_limit_exceeded", + search_space_id=search_space_id, + ) + assert len(notifications) >= 1, ( + "Expected at least one page_limit_exceeded notification" + ) + + latest = notifications[0] + assert ( + "page limit" in latest["title"].lower() + or "page limit" in latest["message"].lower() + ), ( + f"Notification should mention page limit: title={latest['title']!r}, " + f"message={latest['message']!r}" + ) + + +# --------------------------------------------------------------------------- +# Test D: Successful upload creates a completed document_processing notification +# --------------------------------------------------------------------------- + + +class TestDocumentProcessingNotification: + """A ``document_processing`` notification with ``completed`` status must + exist after a successful upload.""" + + async def test_processing_completed_notification_exists( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + page_limits, + ): + await page_limits.set(pages_used=0, pages_limit=1000) + + resp = await upload_file( + client, headers, "sample.txt", search_space_id=search_space_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 + ) + + notifications = await get_notifications( + client, + headers, + type_filter="document_processing", + search_space_id=search_space_id, + ) + completed = [ + n + for n in notifications + if n.get("metadata", {}).get("processing_stage") == "completed" + ] + assert len(completed) >= 1, ( + "Expected at least one document_processing notification with 'completed' stage" + ) + + +# --------------------------------------------------------------------------- +# Test E: pages_used unchanged when a document fails for non-limit reasons +# --------------------------------------------------------------------------- + + +class TestPagesUnchangedOnProcessingFailure: + """If a document fails during ETL (e.g. empty/corrupt file) rather than + a page-limit rejection, ``pages_used`` should remain unchanged.""" + + async def test_pages_used_stable_on_etl_failure( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + page_limits, + ): + await page_limits.set(pages_used=10, pages_limit=1000) + + resp = await upload_file( + client, headers, "empty.pdf", search_space_id=search_space_id + ) + assert resp.status_code == 200 + doc_ids = resp.json()["document_ids"] + cleanup_doc_ids.extend(doc_ids) + + if doc_ids: + statuses = await poll_document_status( + client, headers, doc_ids, search_space_id=search_space_id, timeout=120.0 + ) + for did in doc_ids: + assert statuses[did]["status"]["state"] == "failed" + + used, _ = await page_limits.get() + assert used == 10, f"pages_used should remain 10 after ETL failure, got {used}" + + +# --------------------------------------------------------------------------- +# Test F: Second upload rejected after first consumes remaining quota +# --------------------------------------------------------------------------- + + +class TestSecondUploadExceedsLimit: + """Upload one PDF successfully, consuming the quota, then verify a + second upload is rejected.""" + + async def test_second_upload_rejected_after_quota_consumed( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + page_limits, + ): + # Give just enough room for one ~1-page PDF + await page_limits.set(pages_used=0, pages_limit=1) + + resp1 = await upload_file( + client, headers, "sample.pdf", search_space_id=search_space_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 + ) + for did in first_ids: + assert statuses1[did]["status"]["state"] == "ready" + + # Second upload — should fail because quota is now consumed + resp2 = await upload_file( + client, + headers, + "sample.pdf", + search_space_id=search_space_id, + filename_override="sample_copy.pdf", + ) + assert resp2.status_code == 200 + second_ids = resp2.json()["document_ids"] + cleanup_doc_ids.extend(second_ids) + + statuses2 = await poll_document_status( + client, headers, second_ids, search_space_id=search_space_id, timeout=300.0 + ) + for did in second_ids: + assert statuses2[did]["status"]["state"] == "failed" + reason = statuses2[did]["status"].get("reason", "").lower() + assert "page limit" in reason, ( + f"Expected 'page limit' in failure reason, got: {reason!r}" + ) diff --git a/surfsense_backend/tests/e2e/test_upload_limits.py b/surfsense_backend/tests/e2e/test_upload_limits.py new file mode 100644 index 000000000..9368b0f43 --- /dev/null +++ b/surfsense_backend/tests/e2e/test_upload_limits.py @@ -0,0 +1,146 @@ +""" +End-to-end tests for backend file upload limit enforcement. + +These tests verify that the API rejects uploads that exceed: + - Max files per upload (10) + - Max per-file size (50 MB) + - Max total upload size (200 MB) + +The limits mirror the frontend's DocumentUploadTab.tsx constants and are +enforced server-side to protect against direct API calls. + +Prerequisites (must be running): + - FastAPI backend + - PostgreSQL + pgvector +""" + +from __future__ import annotations + +import io + +import httpx +import pytest + +pytestmark = pytest.mark.e2e + + +# --------------------------------------------------------------------------- +# Test A: File count limit +# --------------------------------------------------------------------------- + + +class TestFileCountLimit: + """Uploading more than 10 files in a single request should be rejected.""" + + async def test_11_files_returns_413( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + ): + files = [ + ("files", (f"file_{i}.txt", io.BytesIO(b"test content"), "text/plain")) + for i in range(11) + ] + resp = await client.post( + "/api/v1/documents/fileupload", + headers=headers, + files=files, + data={"search_space_id": str(search_space_id)}, + ) + assert resp.status_code == 413 + assert "too many files" in resp.json()["detail"].lower() + + async def test_10_files_accepted( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + files = [ + ("files", (f"file_{i}.txt", io.BytesIO(b"test content"), "text/plain")) + for i in range(10) + ] + resp = await client.post( + "/api/v1/documents/fileupload", + headers=headers, + files=files, + data={"search_space_id": str(search_space_id)}, + ) + assert resp.status_code == 200 + cleanup_doc_ids.extend(resp.json().get("document_ids", [])) + + +# --------------------------------------------------------------------------- +# Test B: Per-file size limit +# --------------------------------------------------------------------------- + + +class TestPerFileSizeLimit: + """A single file exceeding 50 MB should be rejected.""" + + async def test_oversized_file_returns_413( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + ): + oversized = io.BytesIO(b"\x00" * (50 * 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)}, + ) + assert resp.status_code == 413 + assert "per-file limit" in resp.json()["detail"].lower() + + async def test_file_at_limit_accepted( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + cleanup_doc_ids: list[int], + ): + at_limit = io.BytesIO(b"\x00" * (50 * 1024 * 1024)) + resp = await client.post( + "/api/v1/documents/fileupload", + headers=headers, + files=[("files", ("exact50mb.txt", at_limit, "text/plain"))], + data={"search_space_id": str(search_space_id)}, + ) + assert resp.status_code == 200 + cleanup_doc_ids.extend(resp.json().get("document_ids", [])) + + +# --------------------------------------------------------------------------- +# Test C: Total upload size limit +# --------------------------------------------------------------------------- + + +class TestTotalSizeLimit: + """Multiple files whose combined size exceeds 200 MB should be rejected.""" + + async def test_total_size_over_200mb_returns_413( + self, + client: httpx.AsyncClient, + headers: dict[str, str], + search_space_id: int, + ): + chunk_size = 45 * 1024 * 1024 # 45 MB each + files = [ + ( + "files", + (f"chunk_{i}.txt", io.BytesIO(b"\x00" * chunk_size), "text/plain"), + ) + for i in range(5) # 5 x 45 MB = 225 MB > 200 MB + ] + resp = await client.post( + "/api/v1/documents/fileupload", + headers=headers, + files=files, + data={"search_space_id": str(search_space_id)}, + ) + assert resp.status_code == 413 + assert "total upload size" in resp.json()["detail"].lower() diff --git a/surfsense_backend/tests/fixtures/empty.pdf b/surfsense_backend/tests/fixtures/empty.pdf new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/fixtures/sample.md b/surfsense_backend/tests/fixtures/sample.md new file mode 100644 index 000000000..7217540d8 --- /dev/null +++ b/surfsense_backend/tests/fixtures/sample.md @@ -0,0 +1,51 @@ +# SurfSense Test Document + +## Overview + +This is a **sample markdown document** used for end-to-end testing of the manual +document upload pipeline. It includes various markdown formatting elements. + +## Key Features + +- Document upload and processing +- Automatic chunking of content +- Embedding generation for semantic search +- Real-time status tracking via ElectricSQL + +## Technical Architecture + +### Backend Stack + +The SurfSense backend is built with: + +1. **FastAPI** for the REST API +2. **PostgreSQL** with pgvector for vector storage +3. **Celery** with Redis for background task processing +4. **Docling/Unstructured** for document parsing (ETL) + +### Processing Pipeline + +Documents go through a multi-stage pipeline: + +| Stage | Description | +|-------|-------------| +| Upload | File received via API endpoint | +| Parsing | Content extracted using ETL service | +| Chunking | Text split into semantic chunks | +| Embedding | Vector representations generated | +| Storage | Chunks stored with embeddings in pgvector | + +## Code Example + +```python +async def process_document(file_path: str) -> Document: + content = extract_content(file_path) + chunks = create_chunks(content) + embeddings = generate_embeddings(chunks) + return store_document(chunks, embeddings) +``` + +## Conclusion + +This document serves as a test fixture to validate the complete document processing +pipeline from upload through to chunk creation and embedding storage. diff --git a/surfsense_backend/tests/fixtures/sample.pdf b/surfsense_backend/tests/fixtures/sample.pdf new file mode 100644 index 000000000..228071def Binary files /dev/null and b/surfsense_backend/tests/fixtures/sample.pdf differ diff --git a/surfsense_backend/tests/fixtures/sample.txt b/surfsense_backend/tests/fixtures/sample.txt new file mode 100644 index 000000000..0ee6513b9 --- /dev/null +++ b/surfsense_backend/tests/fixtures/sample.txt @@ -0,0 +1,34 @@ +SurfSense Document Upload Test + +This is a sample text document used for end-to-end testing of the manual document +upload pipeline in SurfSense. The document contains multiple paragraphs to ensure +that the chunking system has enough content to work with. + +Artificial Intelligence and Machine Learning + +Artificial intelligence (AI) is a broad field of computer science concerned with +building smart machines capable of performing tasks that typically require human +intelligence. Machine learning is a subset of AI that enables systems to learn and +improve from experience without being explicitly programmed. + +Natural Language Processing + +Natural language processing (NLP) is a subfield of linguistics, computer science, +and artificial intelligence concerned with the interactions between computers and +human language. Key applications include machine translation, sentiment analysis, +text summarization, and question answering systems. + +Vector Databases and Semantic Search + +Vector databases store data as high-dimensional vectors, enabling efficient +similarity search operations. When combined with embedding models, they power +semantic search systems that understand the meaning behind queries rather than +relying on exact keyword matches. This technology is fundamental to modern +retrieval-augmented generation (RAG) systems. + +Document Processing Pipelines + +Modern document processing pipelines involve several stages: extraction, transformation, +chunking, embedding generation, and storage. Each stage plays a critical role in +converting raw documents into searchable, structured knowledge that can be retrieved +and used by AI systems for accurate information retrieval and generation. diff --git a/surfsense_backend/tests/integration/__init__.py b/surfsense_backend/tests/integration/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/integration/conftest.py b/surfsense_backend/tests/integration/conftest.py new file mode 100644 index 000000000..119045d29 --- /dev/null +++ b/surfsense_backend/tests/integration/conftest.py @@ -0,0 +1,172 @@ +import os +import uuid +from unittest.mock import AsyncMock, MagicMock + +import pytest +import pytest_asyncio +from sqlalchemy import text +from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine +from sqlalchemy.pool import NullPool + +from app.db import ( + Base, + DocumentType, + SearchSourceConnector, + SearchSourceConnectorType, + SearchSpace, + User, +) +from app.indexing_pipeline.connector_document import ConnectorDocument + +_EMBEDDING_DIM = 1024 # must match the Vector() dimension used in DB column creation + +_DEFAULT_TEST_DB = ( + "postgresql+asyncpg://postgres:postgres@localhost:5432/surfsense_test" +) +TEST_DATABASE_URL = os.environ.get("TEST_DATABASE_URL", _DEFAULT_TEST_DB) + + +@pytest_asyncio.fixture(scope="session") +async def async_engine(): + engine = create_async_engine( + TEST_DATABASE_URL, + poolclass=NullPool, + echo=False, + # Required for asyncpg + savepoints: disables prepared statement cache + # to prevent "another operation is in progress" errors during savepoint rollbacks. + connect_args={"prepared_statement_cache_size": 0}, + ) + + async with engine.begin() as conn: + await conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector")) + await conn.run_sync(Base.metadata.create_all) + + yield engine + + # drop_all fails on circular FKs (new_chat_threads ↔ public_chat_snapshots). + # DROP SCHEMA CASCADE handles this without needing topological sort. + async with engine.begin() as conn: + await conn.execute(text("DROP SCHEMA public CASCADE")) + await conn.execute(text("CREATE SCHEMA public")) + + await engine.dispose() + + +@pytest_asyncio.fixture +async def db_session(async_engine) -> AsyncSession: + # Bind the session to a connection that holds an outer transaction. + # join_transaction_mode="create_savepoint" makes session.commit() release + # a SAVEPOINT instead of committing the outer transaction, so the final + # transaction.rollback() undoes everything — including commits made by the + # service under test — leaving the DB clean for the next test. + async with async_engine.connect() as conn: + transaction = await conn.begin() + async with AsyncSession( + bind=conn, + expire_on_commit=False, + join_transaction_mode="create_savepoint", + ) as session: + yield session + await transaction.rollback() + + +@pytest_asyncio.fixture +async def db_user(db_session: AsyncSession) -> User: + user = User( + id=uuid.uuid4(), + email="test@surfsense.net", + hashed_password="hashed", + is_active=True, + is_superuser=False, + is_verified=True, + ) + db_session.add(user) + await db_session.flush() + return user + + +@pytest_asyncio.fixture +async def db_connector( + db_session: AsyncSession, db_user: User, db_search_space: "SearchSpace" +) -> SearchSourceConnector: + connector = SearchSourceConnector( + name="Test Connector", + connector_type=SearchSourceConnectorType.CLICKUP_CONNECTOR, + config={}, + search_space_id=db_search_space.id, + user_id=db_user.id, + ) + db_session.add(connector) + await db_session.flush() + return connector + + +@pytest_asyncio.fixture +async def db_search_space(db_session: AsyncSession, db_user: User) -> SearchSpace: + space = SearchSpace( + name="Test Space", + user_id=db_user.id, + ) + db_session.add(space) + await db_session.flush() + return space + + +@pytest.fixture +def patched_summarize(monkeypatch) -> AsyncMock: + mock = AsyncMock(return_value="Mocked summary.") + monkeypatch.setattr( + "app.indexing_pipeline.indexing_pipeline_service.summarize_document", + mock, + ) + return mock + + +@pytest.fixture +def patched_summarize_raises(monkeypatch) -> AsyncMock: + mock = AsyncMock(side_effect=RuntimeError("LLM unavailable")) + monkeypatch.setattr( + "app.indexing_pipeline.indexing_pipeline_service.summarize_document", + mock, + ) + return mock + + +@pytest.fixture +def patched_embed_text(monkeypatch) -> MagicMock: + mock = MagicMock(return_value=[0.1] * _EMBEDDING_DIM) + monkeypatch.setattr( + "app.indexing_pipeline.indexing_pipeline_service.embed_text", + mock, + ) + return mock + + +@pytest.fixture +def patched_chunk_text(monkeypatch) -> MagicMock: + mock = MagicMock(return_value=["Test chunk content."]) + monkeypatch.setattr( + "app.indexing_pipeline.indexing_pipeline_service.chunk_text", + mock, + ) + return mock + + +@pytest.fixture +def make_connector_document(db_connector, db_user): + """Integration-scoped override: uses real DB connector and user IDs.""" + + def _make(**overrides): + defaults = { + "title": "Test Document", + "source_markdown": "## Heading\n\nSome content.", + "unique_id": "test-id-001", + "document_type": DocumentType.CLICKUP_CONNECTOR, + "search_space_id": db_connector.search_space_id, + "connector_id": db_connector.id, + "created_by_id": str(db_user.id), + } + defaults.update(overrides) + return ConnectorDocument(**defaults) + + return _make diff --git a/surfsense_backend/tests/integration/indexing_pipeline/__init__.py b/surfsense_backend/tests/integration/indexing_pipeline/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/integration/indexing_pipeline/adapters/__init__.py b/surfsense_backend/tests/integration/indexing_pipeline/adapters/__init__.py new file mode 100644 index 000000000..e69de29bb 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 new file mode 100644 index 000000000..193e4bd80 --- /dev/null +++ b/surfsense_backend/tests/integration/indexing_pipeline/adapters/test_file_upload_adapter.py @@ -0,0 +1,99 @@ +import pytest +from sqlalchemy import select + +from app.db import Chunk, Document, DocumentStatus +from app.indexing_pipeline.adapters.file_upload_adapter import index_uploaded_file + +pytestmark = pytest.mark.integration + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_sets_status_ready(db_session, db_search_space, db_user, mocker): + """Document status is READY after successful indexing.""" + await index_uploaded_file( + markdown_content="## Hello\n\nSome content.", + filename="test.pdf", + etl_service="UNSTRUCTURED", + search_space_id=db_search_space.id, + user_id=str(db_user.id), + session=db_session, + llm=mocker.Mock(), + ) + + result = await db_session.execute( + select(Document).filter(Document.search_space_id == db_search_space.id) + ) + document = result.scalars().first() + + assert DocumentStatus.is_state(document.status, DocumentStatus.READY) + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_content_is_summary(db_session, db_search_space, db_user, mocker): + """Document content is set to the LLM-generated summary.""" + await index_uploaded_file( + markdown_content="## Hello\n\nSome content.", + filename="test.pdf", + etl_service="UNSTRUCTURED", + search_space_id=db_search_space.id, + user_id=str(db_user.id), + session=db_session, + llm=mocker.Mock(), + ) + + result = await db_session.execute( + select(Document).filter(Document.search_space_id == db_search_space.id) + ) + document = result.scalars().first() + + assert document.content == "Mocked summary." + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_chunks_written_to_db(db_session, db_search_space, db_user, mocker): + """Chunks derived from the source markdown are persisted in the DB.""" + await index_uploaded_file( + markdown_content="## Hello\n\nSome content.", + filename="test.pdf", + etl_service="UNSTRUCTURED", + search_space_id=db_search_space.id, + user_id=str(db_user.id), + session=db_session, + llm=mocker.Mock(), + ) + + result = await db_session.execute( + select(Document).filter(Document.search_space_id == db_search_space.id) + ) + document = result.scalars().first() + + chunks_result = await db_session.execute( + select(Chunk).filter(Chunk.document_id == document.id) + ) + chunks = chunks_result.scalars().all() + + assert len(chunks) == 1 + assert chunks[0].content == "Test chunk content." + + +@pytest.mark.usefixtures( + "patched_summarize_raises", "patched_embed_text", "patched_chunk_text" +) +async def test_raises_on_indexing_failure(db_session, db_search_space, db_user, mocker): + """RuntimeError is raised when the indexing step fails so the caller can fire a failure notification.""" + with pytest.raises(RuntimeError): + await index_uploaded_file( + markdown_content="## Hello\n\nSome content.", + filename="test.pdf", + etl_service="UNSTRUCTURED", + search_space_id=db_search_space.id, + user_id=str(db_user.id), + session=db_session, + llm=mocker.Mock(), + ) diff --git a/surfsense_backend/tests/integration/indexing_pipeline/test_index_document.py b/surfsense_backend/tests/integration/indexing_pipeline/test_index_document.py new file mode 100644 index 000000000..0065a03e1 --- /dev/null +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_index_document.py @@ -0,0 +1,338 @@ +import pytest +from sqlalchemy import select + +from app.db import Chunk, Document, DocumentStatus +from app.indexing_pipeline.indexing_pipeline_service import IndexingPipelineService + +pytestmark = pytest.mark.integration + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_sets_status_ready( + db_session, + db_search_space, + make_connector_document, + mocker, +): + """Document status is READY after successful indexing.""" + connector_doc = make_connector_document(search_space_id=db_search_space.id) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert DocumentStatus.is_state(reloaded.status, DocumentStatus.READY) + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_content_is_summary_when_should_summarize_true( + db_session, + db_search_space, + make_connector_document, + mocker, +): + """Document content is set to the LLM-generated summary when should_summarize=True.""" + connector_doc = make_connector_document(search_space_id=db_search_space.id) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert reloaded.content == "Mocked summary." + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_content_is_source_markdown_when_should_summarize_false( + db_session, + db_search_space, + make_connector_document, +): + """Document content is set to source_markdown verbatim when should_summarize=False.""" + connector_doc = make_connector_document( + search_space_id=db_search_space.id, + should_summarize=False, + source_markdown="## Raw content", + ) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=None) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert reloaded.content == "## Raw content" + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_chunks_written_to_db( + db_session, + db_search_space, + 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) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Chunk).filter(Chunk.document_id == document_id) + ) + chunks = result.scalars().all() + + assert len(chunks) == 1 + assert chunks[0].content == "Test chunk content." + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_embedding_written_to_db( + db_session, + db_search_space, + 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) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert reloaded.embedding is not None + assert len(reloaded.embedding) == 1024 + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_updated_at_advances_after_indexing( + db_session, + db_search_space, + 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) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + updated_at_pending = result.scalars().first().updated_at + + await service.index(document, connector_doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + updated_at_ready = result.scalars().first().updated_at + + assert updated_at_ready > updated_at_pending + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_no_llm_falls_back_to_source_markdown( + db_session, + db_search_space, + make_connector_document, +): + """When llm=None and no fallback_summary, content falls back to source_markdown.""" + connector_doc = make_connector_document( + search_space_id=db_search_space.id, + should_summarize=True, + source_markdown="## Fallback content", + ) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=None) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert DocumentStatus.is_state(reloaded.status, DocumentStatus.READY) + assert reloaded.content == "## Fallback content" + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_fallback_summary_used_when_llm_unavailable( + db_session, + db_search_space, + make_connector_document, +): + """fallback_summary is used as content when llm=None and should_summarize=True.""" + connector_doc = make_connector_document( + search_space_id=db_search_space.id, + should_summarize=True, + source_markdown="## Full raw content", + fallback_summary="Short pre-built summary.", + ) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document_id = prepared[0].id + + await service.index(prepared[0], connector_doc, llm=None) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert DocumentStatus.is_state(reloaded.status, DocumentStatus.READY) + assert reloaded.content == "Short pre-built summary." + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_reindex_replaces_old_chunks( + db_session, + db_search_space, + 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, + source_markdown="## v1", + ) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=mocker.Mock()) + + updated_doc = make_connector_document( + search_space_id=db_search_space.id, + source_markdown="## v2", + ) + re_prepared = await service.prepare_for_indexing([updated_doc]) + await service.index(re_prepared[0], updated_doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Chunk).filter(Chunk.document_id == document_id) + ) + chunks = result.scalars().all() + + assert len(chunks) == 1 + + +@pytest.mark.usefixtures( + "patched_summarize_raises", "patched_embed_text", "patched_chunk_text" +) +async def test_llm_error_sets_status_failed( + db_session, + db_search_space, + make_connector_document, + mocker, +): + """Document status is FAILED when the LLM raises during indexing.""" + connector_doc = make_connector_document(search_space_id=db_search_space.id) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert DocumentStatus.is_state(reloaded.status, DocumentStatus.FAILED) + + +@pytest.mark.usefixtures( + "patched_summarize_raises", "patched_embed_text", "patched_chunk_text" +) +async def test_llm_error_leaves_no_partial_data( + db_session, + db_search_space, + 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) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([connector_doc]) + document = prepared[0] + document_id = document.id + + await service.index(document, connector_doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert reloaded.embedding is None + assert reloaded.content == "Pending..." + + chunks_result = await db_session.execute( + select(Chunk).filter(Chunk.document_id == document_id) + ) + assert chunks_result.scalars().all() == [] 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 new file mode 100644 index 000000000..837b02c9f --- /dev/null +++ b/surfsense_backend/tests/integration/indexing_pipeline/test_prepare_for_indexing.py @@ -0,0 +1,459 @@ +import pytest +from sqlalchemy import select + +from app.db import Document, DocumentStatus +from app.indexing_pipeline.document_hashing import ( + compute_content_hash as real_compute_content_hash, +) +from app.indexing_pipeline.indexing_pipeline_service import IndexingPipelineService + +pytestmark = pytest.mark.integration + + +async def test_new_document_is_persisted_with_pending_status( + db_session, db_search_space, 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) + service = IndexingPipelineService(session=db_session) + + results = await service.prepare_for_indexing([doc]) + + assert len(results) == 1 + document_id = results[0].id + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert reloaded is not None + assert DocumentStatus.is_state(reloaded.status, DocumentStatus.PENDING) + assert reloaded.source_markdown == doc.source_markdown + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_unchanged_ready_document_is_skipped( + db_session, + db_search_space, + 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) + service = IndexingPipelineService(session=db_session) + + # Index fully so the document reaches ready state + prepared = await service.prepare_for_indexing([doc]) + await service.index(prepared[0], doc, llm=mocker.Mock()) + + # Same content on the next run — a ready document must be skipped + results = await service.prepare_for_indexing([doc]) + + assert results == [] + + +@pytest.mark.usefixtures( + "patched_summarize", "patched_embed_text", "patched_chunk_text" +) +async def test_title_only_change_updates_title_in_db( + db_session, + db_search_space, + 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" + ) + service = IndexingPipelineService(session=db_session) + + prepared = await service.prepare_for_indexing([original]) + document_id = prepared[0].id + await service.index(prepared[0], original, llm=mocker.Mock()) + + renamed = make_connector_document( + search_space_id=db_search_space.id, title="Updated Title" + ) + results = await service.prepare_for_indexing([renamed]) + + assert results == [] + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert reloaded.title == "Updated Title" + + +async def test_changed_content_is_returned_for_reprocessing( + db_session, db_search_space, 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" + ) + service = IndexingPipelineService(session=db_session) + + first = await service.prepare_for_indexing([original]) + original_id = first[0].id + + updated = make_connector_document( + search_space_id=db_search_space.id, source_markdown="## v2" + ) + results = await service.prepare_for_indexing([updated]) + + assert len(results) == 1 + assert results[0].id == original_id + + result = await db_session.execute( + select(Document).filter(Document.id == original_id) + ) + reloaded = result.scalars().first() + + assert reloaded.source_markdown == "## v2" + assert DocumentStatus.is_state(reloaded.status, DocumentStatus.PENDING) + + +async def test_all_documents_in_batch_are_persisted( + db_session, db_search_space, make_connector_document +): + """All documents in a batch are persisted and returned.""" + docs = [ + make_connector_document( + search_space_id=db_search_space.id, + unique_id="id-1", + title="Doc 1", + source_markdown="## Content 1", + ), + make_connector_document( + search_space_id=db_search_space.id, + unique_id="id-2", + title="Doc 2", + source_markdown="## Content 2", + ), + make_connector_document( + search_space_id=db_search_space.id, + unique_id="id-3", + title="Doc 3", + source_markdown="## Content 3", + ), + ] + service = IndexingPipelineService(session=db_session) + + results = await service.prepare_for_indexing(docs) + + assert len(results) == 3 + + result = await db_session.execute( + select(Document).filter(Document.search_space_id == db_search_space.id) + ) + rows = result.scalars().all() + + assert len(rows) == 3 + + +async def test_duplicate_in_batch_is_persisted_once( + db_session, db_search_space, 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) + service = IndexingPipelineService(session=db_session) + + results = await service.prepare_for_indexing([doc, doc]) + + assert len(results) == 1 + + result = await db_session.execute( + select(Document).filter(Document.search_space_id == db_search_space.id) + ) + rows = result.scalars().all() + + assert len(rows) == 1 + + +async def test_created_by_id_is_persisted( + db_session, db_user, db_search_space, 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, + created_by_id=str(db_user.id), + ) + service = IndexingPipelineService(session=db_session) + + results = await service.prepare_for_indexing([doc]) + document_id = results[0].id + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert str(reloaded.created_by_id) == str(db_user.id) + + +async def test_metadata_is_updated_when_content_changes( + db_session, db_search_space, 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, + source_markdown="## v1", + metadata={"status": "in_progress"}, + ) + service = IndexingPipelineService(session=db_session) + + first = await service.prepare_for_indexing([original]) + document_id = first[0].id + + updated = make_connector_document( + search_space_id=db_search_space.id, + source_markdown="## v2", + metadata={"status": "done"}, + ) + await service.prepare_for_indexing([updated]) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + reloaded = result.scalars().first() + + assert reloaded.document_metadata == {"status": "done"} + + +async def test_updated_at_advances_when_title_only_changes( + db_session, db_search_space, 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" + ) + service = IndexingPipelineService(session=db_session) + + first = await service.prepare_for_indexing([original]) + document_id = first[0].id + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + updated_at_v1 = result.scalars().first().updated_at + + renamed = make_connector_document( + search_space_id=db_search_space.id, title="New Title" + ) + await service.prepare_for_indexing([renamed]) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + updated_at_v2 = result.scalars().first().updated_at + + assert updated_at_v2 > updated_at_v1 + + +async def test_updated_at_advances_when_content_changes( + db_session, db_search_space, make_connector_document +): + """updated_at advances when document content changes.""" + original = make_connector_document( + search_space_id=db_search_space.id, source_markdown="## v1" + ) + service = IndexingPipelineService(session=db_session) + + first = await service.prepare_for_indexing([original]) + document_id = first[0].id + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + updated_at_v1 = result.scalars().first().updated_at + + updated = make_connector_document( + search_space_id=db_search_space.id, source_markdown="## v2" + ) + await service.prepare_for_indexing([updated]) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + updated_at_v2 = result.scalars().first().updated_at + + assert updated_at_v2 > updated_at_v1 + + +async def test_same_content_from_different_source_skipped_in_single_batch( + db_session, db_search_space, 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, + unique_id="source-a", + source_markdown="## Shared content", + ) + second = make_connector_document( + search_space_id=db_search_space.id, + unique_id="source-b", + source_markdown="## Shared content", + ) + service = IndexingPipelineService(session=db_session) + + results = await service.prepare_for_indexing([first, second]) + + assert len(results) == 1 + + result = await db_session.execute( + select(Document).filter(Document.search_space_id == db_search_space.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 +): + """A document with content identical to an already-indexed document is skipped.""" + first = make_connector_document( + search_space_id=db_search_space.id, + unique_id="source-a", + source_markdown="## Shared content", + ) + second = make_connector_document( + search_space_id=db_search_space.id, + unique_id="source-b", + source_markdown="## Shared content", + ) + service = IndexingPipelineService(session=db_session) + + await service.prepare_for_indexing([first]) + results = await service.prepare_for_indexing([second]) + + assert results == [] + + result = await db_session.execute( + select(Document).filter(Document.search_space_id == db_search_space.id) + ) + assert len(result.scalars().all()) == 1 + + +@pytest.mark.usefixtures( + "patched_summarize_raises", "patched_embed_text", "patched_chunk_text" +) +async def test_failed_document_with_unchanged_content_is_requeued( + db_session, + db_search_space, + 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) + service = IndexingPipelineService(session=db_session) + + # First run: document is created and indexing crashes → status = failed + prepared = await service.prepare_for_indexing([doc]) + document_id = prepared[0].id + await service.index(prepared[0], doc, llm=mocker.Mock()) + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + assert DocumentStatus.is_state( + result.scalars().first().status, DocumentStatus.FAILED + ) + + # Next run: same content, pipeline must re-queue the failed document + results = await service.prepare_for_indexing([doc]) + + assert len(results) == 1 + assert results[0].id == document_id + + result = await db_session.execute( + select(Document).filter(Document.id == document_id) + ) + assert DocumentStatus.is_state( + result.scalars().first().status, DocumentStatus.PENDING + ) + + +async def test_title_and_content_change_updates_both_and_returns_document( + db_session, db_search_space, 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, + title="Original Title", + source_markdown="## v1", + ) + service = IndexingPipelineService(session=db_session) + + first = await service.prepare_for_indexing([original]) + original_id = first[0].id + + updated = make_connector_document( + search_space_id=db_search_space.id, + title="Updated Title", + source_markdown="## v2", + ) + results = await service.prepare_for_indexing([updated]) + + assert len(results) == 1 + assert results[0].id == original_id + + result = await db_session.execute( + select(Document).filter(Document.id == original_id) + ) + reloaded = result.scalars().first() + + assert reloaded.title == "Updated Title" + assert reloaded.source_markdown == "## v2" + + +async def test_one_bad_document_in_batch_does_not_prevent_others_from_being_persisted( + db_session, + db_search_space, + make_connector_document, + monkeypatch, +): + """ + A per-document error during prepare_for_indexing must be isolated. + The two valid documents around the failing one must still be persisted. + """ + docs = [ + make_connector_document( + search_space_id=db_search_space.id, + unique_id="good-1", + source_markdown="## Good doc 1", + ), + make_connector_document( + search_space_id=db_search_space.id, + unique_id="will-fail", + source_markdown="## Bad doc", + ), + make_connector_document( + search_space_id=db_search_space.id, + unique_id="good-2", + source_markdown="## Good doc 2", + ), + ] + + def compute_content_hash_with_error(doc): + if doc.unique_id == "will-fail": + raise RuntimeError("Simulated per-document failure") + return real_compute_content_hash(doc) + + monkeypatch.setattr( + "app.indexing_pipeline.indexing_pipeline_service.compute_content_hash", + compute_content_hash_with_error, + ) + + service = IndexingPipelineService(session=db_session) + results = await service.prepare_for_indexing(docs) + + assert len(results) == 2 + + result = await db_session.execute( + select(Document).filter(Document.search_space_id == db_search_space.id) + ) + assert len(result.scalars().all()) == 2 diff --git a/surfsense_backend/tests/unit/__init__.py b/surfsense_backend/tests/unit/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/adapters/__init__.py b/surfsense_backend/tests/unit/adapters/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/indexing_pipeline/__init__.py b/surfsense_backend/tests/unit/indexing_pipeline/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/unit/indexing_pipeline/conftest.py b/surfsense_backend/tests/unit/indexing_pipeline/conftest.py new file mode 100644 index 000000000..11f84dce5 --- /dev/null +++ b/surfsense_backend/tests/unit/indexing_pipeline/conftest.py @@ -0,0 +1,38 @@ +from unittest.mock import AsyncMock, MagicMock + +import pytest + + +@pytest.fixture +def patched_summarizer_chain(monkeypatch): + chain = MagicMock() + chain.ainvoke = AsyncMock(return_value=MagicMock(content="The summary.")) + + template = MagicMock() + template.__or__ = MagicMock(return_value=chain) + + monkeypatch.setattr( + "app.indexing_pipeline.document_summarizer.SUMMARY_PROMPT_TEMPLATE", + template, + ) + return chain + + +@pytest.fixture +def patched_chunker_instance(monkeypatch): + mock = MagicMock() + mock.chunk.return_value = [MagicMock(text="prose chunk")] + monkeypatch.setattr( + "app.indexing_pipeline.document_chunker.config.chunker_instance", mock + ) + return mock + + +@pytest.fixture +def patched_code_chunker_instance(monkeypatch): + mock = MagicMock() + mock.chunk.return_value = [MagicMock(text="code chunk")] + monkeypatch.setattr( + "app.indexing_pipeline.document_chunker.config.code_chunker_instance", mock + ) + return mock diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_connector_document.py b/surfsense_backend/tests/unit/indexing_pipeline/test_connector_document.py new file mode 100644 index 000000000..228777626 --- /dev/null +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_connector_document.py @@ -0,0 +1,112 @@ +import pytest +from pydantic import ValidationError + +from app.db import DocumentType +from app.indexing_pipeline.connector_document import ConnectorDocument + + +def test_valid_document_created_with_required_fields(): + """All optional fields default correctly when only required fields are supplied.""" + doc = ConnectorDocument( + title="Task", + source_markdown="## Task\n\nSome content.", + unique_id="task-1", + document_type=DocumentType.CLICKUP_CONNECTOR, + search_space_id=1, + connector_id=42, + created_by_id="00000000-0000-0000-0000-000000000001", + ) + assert doc.should_summarize is True + assert doc.should_use_code_chunker is False + assert doc.metadata == {} + assert doc.connector_id == 42 + assert doc.created_by_id == "00000000-0000-0000-0000-000000000001" + + +def test_omitting_created_by_id_raises(): + """Omitting created_by_id 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=1, + connector_id=42, + ) + + +def test_empty_source_markdown_raises(): + """Empty source_markdown raises a validation error.""" + with pytest.raises(ValidationError): + ConnectorDocument( + title="Task", + source_markdown="", + unique_id="task-1", + document_type=DocumentType.CLICKUP_CONNECTOR, + search_space_id=1, + ) + + +def test_whitespace_only_source_markdown_raises(): + """Whitespace-only source_markdown raises a validation error.""" + with pytest.raises(ValidationError): + ConnectorDocument( + title="Task", + source_markdown=" \n\t ", + unique_id="task-1", + document_type=DocumentType.CLICKUP_CONNECTOR, + search_space_id=1, + ) + + +def test_empty_title_raises(): + """Empty title raises a validation error.""" + with pytest.raises(ValidationError): + ConnectorDocument( + title="", + source_markdown="## Content", + unique_id="task-1", + document_type=DocumentType.CLICKUP_CONNECTOR, + search_space_id=1, + ) + + +def test_empty_created_by_id_raises(): + """Empty created_by_id 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=1, + connector_id=42, + created_by_id="", + ) + + +def test_zero_search_space_id_raises(): + """search_space_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, + connector_id=42, + created_by_id="00000000-0000-0000-0000-000000000001", + ) + + +def test_empty_unique_id_raises(): + """Empty unique_id raises a validation error.""" + with pytest.raises(ValidationError): + ConnectorDocument( + title="Task", + source_markdown="## Content", + unique_id="", + document_type=DocumentType.CLICKUP_CONNECTOR, + search_space_id=1, + ) diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_document_chunker.py b/surfsense_backend/tests/unit/indexing_pipeline/test_document_chunker.py new file mode 100644 index 000000000..9c52d503d --- /dev/null +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_document_chunker.py @@ -0,0 +1,21 @@ +import pytest + +from app.indexing_pipeline.document_chunker import chunk_text + +pytestmark = pytest.mark.unit + + +@pytest.mark.usefixtures("patched_chunker_instance", "patched_code_chunker_instance") +def test_uses_code_chunker_when_flag_is_true(): + """Code chunker is selected when use_code_chunker=True.""" + result = chunk_text("def foo(): pass", use_code_chunker=True) + + assert result == ["code chunk"] + + +@pytest.mark.usefixtures("patched_chunker_instance", "patched_code_chunker_instance") +def test_uses_default_chunker_when_flag_is_false(): + """Default prose chunker is selected when use_code_chunker=False.""" + result = chunk_text("Some prose text.", use_code_chunker=False) + + assert result == ["prose chunk"] diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_document_hashing.py b/surfsense_backend/tests/unit/indexing_pipeline/test_document_hashing.py new file mode 100644 index 000000000..fe536b066 --- /dev/null +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_document_hashing.py @@ -0,0 +1,63 @@ +import pytest + +from app.db import DocumentType +from app.indexing_pipeline.document_hashing import ( + compute_content_hash, + compute_unique_identifier_hash, +) + +pytestmark = pytest.mark.unit + + +def test_different_unique_id_produces_different_hash(make_connector_document): + """Two documents with different unique_ids produce different identifier hashes.""" + doc_a = make_connector_document(unique_id="id-001") + doc_b = make_connector_document(unique_id="id-002") + assert compute_unique_identifier_hash(doc_a) != compute_unique_identifier_hash( + doc_b + ) + + +def test_different_search_space_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) + assert compute_unique_identifier_hash(doc_a) != compute_unique_identifier_hash( + doc_b + ) + + +def test_different_document_type_produces_different_identifier_hash( + make_connector_document, +): + """Same unique_id with different document types produces different identifier hashes.""" + doc_a = make_connector_document(document_type=DocumentType.CLICKUP_CONNECTOR) + doc_b = make_connector_document(document_type=DocumentType.NOTION_CONNECTOR) + assert compute_unique_identifier_hash(doc_a) != compute_unique_identifier_hash( + doc_b + ) + + +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) + 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) + assert compute_content_hash(doc_a) != compute_content_hash(doc_b) + + +def test_different_content_produces_different_content_hash(make_connector_document): + """Different source markdown produces different content hashes.""" + doc_a = make_connector_document(source_markdown="Original content") + doc_b = make_connector_document(source_markdown="Updated content") + assert compute_content_hash(doc_a) != compute_content_hash(doc_b) diff --git a/surfsense_backend/tests/unit/indexing_pipeline/test_document_summarizer.py b/surfsense_backend/tests/unit/indexing_pipeline/test_document_summarizer.py new file mode 100644 index 000000000..eee32357f --- /dev/null +++ b/surfsense_backend/tests/unit/indexing_pipeline/test_document_summarizer.py @@ -0,0 +1,41 @@ +from unittest.mock import MagicMock + +import pytest + +from app.indexing_pipeline.document_summarizer import summarize_document + +pytestmark = pytest.mark.unit + + +@pytest.mark.usefixtures("patched_summarizer_chain") +async def test_without_metadata_returns_raw_summary(): + """Summarizer returns the LLM output directly when no metadata is provided.""" + result = await summarize_document("# Content", llm=MagicMock(model="gpt-4")) + + assert result == "The summary." + + +@pytest.mark.usefixtures("patched_summarizer_chain") +async def test_with_metadata_includes_metadata_values_in_output(): + """Non-empty metadata values are prepended to the summary output.""" + result = await summarize_document( + "# Content", + llm=MagicMock(model="gpt-4"), + metadata={"author": "Alice", "source": "Notion"}, + ) + + assert "Alice" in result + assert "Notion" in result + + +@pytest.mark.usefixtures("patched_summarizer_chain") +async def test_with_metadata_omits_empty_fields_from_output(): + """Empty metadata fields are omitted from the summary output.""" + result = await summarize_document( + "# Content", + llm=MagicMock(model="gpt-4"), + metadata={"author": "Alice", "description": ""}, + ) + + assert "Alice" in result + assert "description" not in result.lower() diff --git a/surfsense_backend/tests/utils/__init__.py b/surfsense_backend/tests/utils/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/surfsense_backend/tests/utils/helpers.py b/surfsense_backend/tests/utils/helpers.py new file mode 100644 index 000000000..270db7125 --- /dev/null +++ b/surfsense_backend/tests/utils/helpers.py @@ -0,0 +1,224 @@ +"""Shared test helpers for authentication, polling, and cleanup.""" + +from __future__ import annotations + +import asyncio +import os +from pathlib import Path + +import httpx + +FIXTURES_DIR = Path(__file__).resolve().parent.parent / "fixtures" + +BACKEND_URL = os.environ.get("TEST_BACKEND_URL", "http://localhost:8000") +TEST_EMAIL = os.environ.get("TEST_USER_EMAIL", "testuser@surfsense.com") +TEST_PASSWORD = os.environ.get("TEST_USER_PASSWORD", "testpassword123") + + +async def get_auth_token(client: httpx.AsyncClient) -> str: + """Log in and return a Bearer JWT token, registering the user first if needed.""" + response = await client.post( + "/auth/jwt/login", + data={"username": TEST_EMAIL, "password": TEST_PASSWORD}, + headers={"Content-Type": "application/x-www-form-urlencoded"}, + ) + if response.status_code == 200: + return response.json()["access_token"] + + reg_response = await client.post( + "/auth/register", + json={"email": TEST_EMAIL, "password": TEST_PASSWORD}, + ) + assert reg_response.status_code == 201, ( + f"Registration failed ({reg_response.status_code}): {reg_response.text}" + ) + + response = await client.post( + "/auth/jwt/login", + data={"username": TEST_EMAIL, "password": TEST_PASSWORD}, + headers={"Content-Type": "application/x-www-form-urlencoded"}, + ) + assert response.status_code == 200, ( + f"Login after registration failed ({response.status_code}): {response.text}" + ) + 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.""" + resp = await client.get( + "/api/v1/searchspaces", + headers=auth_headers(token), + ) + assert resp.status_code == 200, ( + f"Failed to list search spaces ({resp.status_code}): {resp.text}" + ) + spaces = resp.json() + assert len(spaces) > 0, "No search spaces found for test user" + return spaces[0]["id"] + + +def auth_headers(token: str) -> dict[str, str]: + """Return Authorization header dict for a Bearer token.""" + return {"Authorization": f"Bearer {token}"} + + +async def upload_file( + client: httpx.AsyncClient, + headers: dict[str, str], + fixture_name: str, + *, + search_space_id: int, + filename_override: str | None = None, +) -> httpx.Response: + """Upload a single fixture file and return the raw response.""" + file_path = FIXTURES_DIR / fixture_name + upload_name = filename_override or fixture_name + with open(file_path, "rb") as f: + return await client.post( + "/api/v1/documents/fileupload", + headers=headers, + files={"files": (upload_name, f)}, + data={"search_space_id": str(search_space_id)}, + ) + + +async def upload_multiple_files( + client: httpx.AsyncClient, + headers: dict[str, str], + fixture_names: list[str], + *, + search_space_id: int, +) -> httpx.Response: + """Upload multiple fixture files in a single request.""" + files = [] + open_handles = [] + try: + for name in fixture_names: + fh = open(FIXTURES_DIR / name, "rb") # noqa: SIM115 + open_handles.append(fh) + files.append(("files", (name, fh))) + + return await client.post( + "/api/v1/documents/fileupload", + headers=headers, + files=files, + data={"search_space_id": str(search_space_id)}, + ) + finally: + for fh in open_handles: + fh.close() + + +async def poll_document_status( + client: httpx.AsyncClient, + headers: dict[str, str], + document_ids: list[int], + *, + search_space_id: int, + timeout: float = 180.0, + interval: float = 3.0, +) -> dict[int, dict]: + """ + Poll ``GET /api/v1/documents/status`` until every document reaches a + terminal state (``ready`` or ``failed``) or *timeout* seconds elapse. + + Returns a mapping of ``{document_id: status_item_dict}``. + + Retries on transient transport errors until timeout. + """ + ids_param = ",".join(str(d) for d in document_ids) + terminal_states = {"ready", "failed"} + elapsed = 0.0 + items: dict[int, dict] = {} + last_transport_error: Exception | None = None + + while elapsed < timeout: + try: + resp = await client.get( + "/api/v1/documents/status", + headers=headers, + params={ + "search_space_id": search_space_id, + "document_ids": ids_param, + }, + ) + except (httpx.ReadError, httpx.ConnectError, httpx.TimeoutException) as exc: + last_transport_error = exc + await asyncio.sleep(interval) + elapsed += interval + continue + + assert resp.status_code == 200, ( + f"Status poll failed ({resp.status_code}): {resp.text}" + ) + + items = {item["id"]: item for item in resp.json()["items"]} + if all( + items.get(did, {}).get("status", {}).get("state") in terminal_states + for did in document_ids + ): + return items + + await asyncio.sleep(interval) + elapsed += interval + + raise TimeoutError( + f"Documents {document_ids} did not reach terminal state within {timeout}s. " + f"Last status: {items}. " + f"Last transport error: {last_transport_error!r}" + ) + + +async def get_document( + client: httpx.AsyncClient, + headers: dict[str, str], + document_id: int, +) -> dict: + """Fetch a single document by ID.""" + resp = await client.get( + f"/api/v1/documents/{document_id}", + headers=headers, + ) + assert resp.status_code == 200, ( + f"GET document {document_id} failed ({resp.status_code}): {resp.text}" + ) + return resp.json() + + +async def delete_document( + client: httpx.AsyncClient, + headers: dict[str, str], + document_id: int, +) -> httpx.Response: + """Delete a document by ID, returning the raw response.""" + return await client.delete( + f"/api/v1/documents/{document_id}", + headers=headers, + ) + + +async def get_notifications( + client: httpx.AsyncClient, + headers: dict[str, str], + *, + type_filter: str | None = None, + search_space_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 + + resp = await client.get( + "/api/v1/notifications", + headers=headers, + params=params, + ) + assert resp.status_code == 200, ( + f"GET notifications failed ({resp.status_code}): {resp.text}" + ) + return resp.json()["items"] diff --git a/surfsense_backend/uv.lock b/surfsense_backend/uv.lock index 8a6b7138a..f63623a2b 100644 --- a/surfsense_backend/uv.lock +++ b/surfsense_backend/uv.lock @@ -1,28 +1,16 @@ version = 1 -revision = 1 +revision = 3 requires-python = ">=3.12" resolution-markers = [ - "python_full_version >= '3.14' and sys_platform == 'darwin'", - "python_full_version == '3.13.*' and sys_platform == 'darwin'", - "python_full_version >= '3.14' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "python_full_version == '3.13.*' and platform_machine == 'aarch64' and 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"@/components/homepage/hero-section"; import ExternalIntegrations from "@/components/homepage/integrations"; -import { UseCasesGrid } from "@/components/homepage/use-cases-grid"; export default function HomePage() { return (
- diff --git a/surfsense_web/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentTypeIcon.tsx b/surfsense_web/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentTypeIcon.tsx index dfd2c6d85..c07f34935 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentTypeIcon.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentTypeIcon.tsx @@ -67,7 +67,7 @@ export function DocumentTypeChip({ type, className }: { type: string; className? const chip = ( {icon} diff --git a/surfsense_web/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentsFilters.tsx b/surfsense_web/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentsFilters.tsx index c954474c6..ff9e1f246 100644 --- a/surfsense_web/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentsFilters.tsx +++ b/surfsense_web/app/dashboard/[search_space_id]/documents/(manage)/components/DocumentsFilters.tsx @@ -3,13 +3,13 @@ import { useSetAtom } from "jotai"; import { CircleAlert, - CircleX, - FilePlus2, FileType, ListFilter, Search, SlidersHorizontal, Trash, + Upload, + X, } from "lucide-react"; import { motion } from "motion/react"; import { useTranslations } from "next-intl"; @@ -81,7 +81,7 @@ export function DocumentsFilters({ return ( - + Upload documents - - - - - - Role Permissions - - - {permissions.length} permissions across {categoryCount} categories - - - -
- {sortedCategories.map((category) => { - const actions = grouped[category]; - const config = CATEGORY_CONFIG[category] || { label: category, icon: FileText }; - const IconComponent = config.icon; - return ( -
-
- - {config.label} -
-
- {actions.map((action) => ( - - {ACTION_LABELS[action] || action.replace(/_/g, " ")} - - ))} -
-
- ); - })} -
- - - - ); -} - -// ============ Roles Tab ============ - -function RolesTab({ - roles, - groupedPermissions, - loading, - onUpdateRole, - onDeleteRole, - onCreateRole, - canUpdate, - canDelete, - canCreate, -}: { - roles: Role[]; - groupedPermissions: Record; - loading: boolean; - onUpdateRole: ( - roleId: number, - data: { - name?: string; - description?: string | null; - permissions?: string[]; - is_default?: boolean; - } - ) => Promise; - onDeleteRole: (roleId: number) => Promise; - onCreateRole: (data: CreateRoleRequest["data"]) => Promise; - canUpdate: boolean; - canDelete: boolean; - canCreate: boolean; -}) { - const [showCreateRole, setShowCreateRole] = useState(false); - const [editingRoleId, setEditingRoleId] = useState(null); - - if (loading) { - return ( -
- -
- ); - } - - return ( - - {/* Create Role Button / Section */} - {canCreate && !showCreateRole && ( - - - - )} - - {/* Create Role Form */} - {showCreateRole && ( - setShowCreateRole(false)} - /> - )} - - {/* Edit Role Form */} - {editingRoleId !== null && - (() => { - const roleToEdit = roles.find((r) => r.id === editingRoleId); - if (!roleToEdit) return null; - return ( - setEditingRoleId(null)} - /> - ); - })()} - - {/* Roles Grid */} -
- {roles.map((role, index) => ( - - - {role.is_system_role && ( -
- System Role -
- )} - -
-
-
- -
-
- {role.name} - {role.is_default && ( - - Default - - )} -
-
- {!role.is_system_role && ( - - - - - e.preventDefault()}> - {canUpdate && ( - setEditingRoleId(role.id)}> - - Edit Role - - )} - {canDelete && ( - <> - - - - e.preventDefault()} - > - - Delete Role - - - - - Delete role? - - This will permanently delete the "{role.name}" role. Members - with this role will lose their permissions. - - - - Cancel - onDeleteRole(role.id)} - className="bg-destructive text-destructive-foreground hover:bg-destructive/90" - > - Delete - - - - - - )} - - - )} -
- {role.description && ( - {role.description} - )} - - - - - - - ))} -
- - ); -} - -// ============ Invites Tab ============ - -function InvitesTab({ - invites, - loading, - onRevokeInvite, - canRevoke, -}: { - invites: Invite[]; - loading: boolean; - onRevokeInvite: (inviteId: number) => Promise; - canRevoke: boolean; -}) { - const [copiedId, setCopiedId] = useState(null); - - const copyInviteLink = useCallback((invite: Invite) => { - const link = `${window.location.origin}/invite/${invite.invite_code}`; - navigator.clipboard.writeText(link); - setCopiedId(invite.id); - toast.success("Invite link copied to clipboard"); - setTimeout(() => setCopiedId(null), 2000); - }, []); - - if (loading) { - return ( -
- -
- ); - } - - if (invites.length === 0) { + if (accessLoading || membersLoading) { return ( -
- +
+
+
+ + +
+
+ + + + + + + + + + +
+ +
+ + + + + {Array.from({ length: PAGE_SIZE }).map((_, i) => ( + + +
+ +
+ + +
+
+ + + + + +
+ +
+ + + ))} + +
+
+
-

No invite links

-

- Create an invite link to allow others to join your search space with specific roles. -

); } return ( - {invites.map((invite, index) => { - const isExpired = invite.expires_at && new Date(invite.expires_at) < new Date(); - const isMaxedOut = invite.max_uses && invite.uses_count >= invite.max_uses; - const isInactive = !invite.is_active || isExpired || isMaxedOut; +
+
+ {/* Header row: Invite button on left, member count on right */} +
+
+ {canInvite && ( + + )} + {canInvite && activeInvites.length > 0 && ( + + )} +
+

+ {members.length} {members.length === 1 ? "member" : "members"} +

+
- return ( - - + + + + + + + Name + + + + + + Last logged in + + + + + + Role + + + + + + {owners.map((member, index) => ( + + ))} + {paginatedMembers.map((member, index) => ( + + ))} + {members.length === 0 && ( + + +
+ +

No members yet

+
+ + + )} + +
+
+ + {/* Pagination */} + {totalItems > PAGE_SIZE && ( + - -
-
-
- -
-
-
-

{invite.name || "Unnamed Invite"}

- {isExpired && ( - - Expired - - )} - {isMaxedOut && ( - - Maxed - - )} - {!invite.is_active && !isExpired && !isMaxedOut && ( - - Inactive - - )} -
-
- - - {invite.role?.name || "Default role"} - - - - {invite.uses_count} - {invite.max_uses ? ` / ${invite.max_uses} uses` : " uses"} - - {invite.expires_at && ( - - - {isExpired - ? "Expired" - : `Exp: ${new Date(invite.expires_at).toLocaleDateString()}`} - - )} -
-
-
-
- - {canRevoke && ( - - - - - - - Revoke invite? - - This will permanently delete this invite link. Anyone with this link - will no longer be able to join. - - - - Cancel - onRevokeInvite(invite.id)} - className="bg-destructive text-destructive-foreground hover:bg-destructive/90" - > - Revoke - - - - - )} -
-
- - - - ); - })} + + {displayStart}-{displayEnd} of {totalItems} + +
+ + + + +
+ + )} +
+
); } +// ============ Member Row ============ + +function MemberRow({ + member, + roles, + canManageRoles, + canRemove, + onUpdateRole, + onRemoveMember, + searchSpaceId, + index, +}: { + member: Membership; + roles: Role[]; + canManageRoles: boolean; + canRemove: boolean; + onUpdateRole: (membershipId: number, roleId: number | null) => Promise; + onRemoveMember: (membershipId: number) => Promise; + searchSpaceId: number; + index: number; +}) { + const router = useRouter(); + const initials = getAvatarInitials(member); + const avatarColor = getAvatarColor(member.user_id); + const displayName = member.user_display_name || member.user_email || "Unknown"; + const roleName = member.is_owner ? "Owner" : member.role?.name || "No role"; + const showActions = !member.is_owner && (canManageRoles || canRemove); + + return ( + + +
+
+ {member.user_avatar_url ? ( + {displayName} + ) : ( +
+ {initials} +
+ )} +
+
+

{displayName}

+ {member.user_display_name && member.user_email && ( +

+ {member.user_email} +

+ )} +
+
+ + + + {formatRelativeDate(member.joined_at)} + + + + {showActions ? ( + + + + + e.preventDefault()} + className="min-w-[120px] bg-muted dark:border dark:border-neutral-700" + > + {canManageRoles && + roles + .filter((r) => r.name !== "Owner") + .map((role) => ( + onUpdateRole(member.id, role.id)} + > + Make {role.name} + + ))} + {canRemove && ( + + + e.preventDefault()} + > + Remove + + + + + Remove member? + + This will remove {member.user_email}{" "} + from this search space. They will lose access to all resources. + + + + Cancel + onRemoveMember(member.id)} + className="bg-destructive text-destructive-foreground hover:bg-destructive/90" + > + Remove + + + + + )} + + + router.push(`/dashboard/${searchSpaceId}/settings?section=team-roles`) + } + > + Manage Roles + + + + ) : ( + {roleName} + )} + + + ); +} + // ============ Create Invite Dialog ============ function CreateInviteDialog({ roles, onCreateInvite, searchSpaceId, - className, }: { roles: Role[]; onCreateInvite: (data: CreateInviteRequest["data"]) => Promise; searchSpaceId: number; - className?: string; }) { const [open, setOpen] = useState(false); const [creating, setCreating] = useState(false); @@ -1369,23 +645,28 @@ function CreateInviteDialog({ const [createdInvite, setCreatedInvite] = useState(null); const [copiedLink, setCopiedLink] = useState(false); + const assignableRoles = useMemo(() => roles.filter((r) => r.name !== "Owner"), [roles]); + const defaultRole = useMemo(() => assignableRoles.find((r) => r.is_default), [assignableRoles]); + + useEffect(() => { + if (defaultRole && !roleId) { + setRoleId(defaultRole.id.toString()); + } + }, [defaultRole, roleId]); + const handleCreate = async () => { setCreating(true); try { const data: CreateInviteRequest["data"] = {}; if (name) data.name = name; - if (roleId && roleId !== "default") data.role_id = Number(roleId); + if (roleId) data.role_id = Number(roleId); if (maxUses) data.max_uses = Number(maxUses); if (expiresAt) data.expires_at = expiresAt.toISOString(); const invite = await onCreateInvite(data); setCreatedInvite(invite); - // Track invite sent event - const roleName = - roleId && roleId !== "default" - ? roles.find((r) => r.id.toString() === roleId)?.name - : undefined; + const roleName = roleId ? roles.find((r) => r.id.toString() === roleId)?.name : undefined; trackSearchSpaceInviteSent(searchSpaceId, { roleName, hasExpiry: !!expiresAt, @@ -1401,7 +682,7 @@ function CreateInviteDialog({ const handleClose = () => { setOpen(false); setName(""); - setRoleId(""); + setRoleId(defaultRole?.id.toString() ?? ""); setMaxUses(""); setExpiresAt(undefined); setCreatedInvite(null); @@ -1419,12 +700,18 @@ function CreateInviteDialog({ return ( (v ? setOpen(true) : handleClose())}> - - + e.preventDefault()} + > {createdInvite ? ( <> @@ -1442,16 +729,11 @@ function CreateInviteDialog({ {window.location.origin}/invite/{createdInvite.invite_code}
- {createdInvite.role?.name || "Default role"} {createdInvite.max_uses && ( @@ -1475,7 +757,7 @@ function CreateInviteDialog({ ) : ( <> - Create Invite Link + Invite Members Create a link to invite people to this search space. @@ -1494,20 +776,19 @@ function CreateInviteDialog({
@@ -1573,859 +854,123 @@ function CreateInviteDialog({ ); } -// ============ Create Role Section ============ +// ============ All Invites Dialog ============ -// Preset permission sets for quick role creation -const ROLE_PRESETS = { - editor: { - name: "Editor", - description: "Can create, read, and update content, but cannot delete or manage team settings", - permissions: [ - "documents:create", - "documents:read", - "documents:update", - "chats:create", - "chats:read", - "chats:update", - "comments:create", - "comments:read", - "llm_configs:create", - "llm_configs:read", - "llm_configs:update", - "podcasts:create", - "podcasts:read", - "podcasts:update", - "connectors:create", - "connectors:read", - "connectors:update", - "logs:read", - "members:invite", - "members:view", - "roles:read", - "settings:view", - ], - }, - viewer: { - name: "Viewer", - description: "Read-only access with ability to add comments", - permissions: [ - "documents:read", - "chats:read", - "comments:create", - "comments:read", - "llm_configs:read", - "podcasts:read", - "connectors:read", - "logs:read", - "members:view", - "roles:read", - "settings:view", - ], - }, - contributor: { - name: "Contributor", - description: "Can add and manage their own content", - permissions: [ - "documents:create", - "documents:read", - "documents:update", - "chats:create", - "chats:read", - "comments:create", - "comments:read", - "llm_configs:read", - "podcasts:read", - "connectors:read", - "logs:read", - "members:view", - "roles:read", - "settings:view", - ], - }, -}; - -// Action display labels -const ACTION_DISPLAY: Record = { - create: { label: "Create", color: "text-emerald-600 bg-emerald-500/10" }, - read: { label: "View", color: "text-blue-600 bg-blue-500/10" }, - update: { label: "Edit", color: "text-amber-600 bg-amber-500/10" }, - delete: { label: "Delete", color: "text-red-600 bg-red-500/10" }, - invite: { label: "Invite", color: "text-violet-600 bg-violet-500/10" }, - view: { label: "View", color: "text-blue-600 bg-blue-500/10" }, - remove: { label: "Remove", color: "text-red-600 bg-red-500/10" }, - manage_roles: { label: "Manage Roles", color: "text-violet-600 bg-violet-500/10" }, -}; - -// Use the imported PermissionInfo type which now includes description -type PermissionWithDescription = PermissionInfo; - -function CreateRoleSection({ - groupedPermissions, - onCreateRole, - onCancel, +function AllInvitesDialog({ + invites, + onRevokeInvite, }: { - groupedPermissions: Record; - onCreateRole: (data: CreateRoleRequest["data"]) => Promise; - onCancel: () => void; + invites: Invite[]; + onRevokeInvite: (inviteId: number) => Promise; }) { - const [creating, setCreating] = useState(false); - const [name, setName] = useState(""); - const [description, setDescription] = useState(""); - const [selectedPermissions, setSelectedPermissions] = useState([]); - const [isDefault, setIsDefault] = useState(false); - const [expandedCategories, setExpandedCategories] = useState([]); + const [copiedId, setCopiedId] = useState(null); - // Sort categories by order - const sortedCategories = useMemo(() => { - return Object.keys(groupedPermissions).sort((a, b) => { - const orderA = CATEGORY_CONFIG[a]?.order ?? 99; - const orderB = CATEGORY_CONFIG[b]?.order ?? 99; - return orderA - orderB; - }); - }, [groupedPermissions]); - - const handleCreate = async () => { - if (!name.trim()) { - toast.error("Please enter a role name"); - return; - } - - setCreating(true); - try { - await onCreateRole({ - name: name.trim(), - description: description.trim() || null, - permissions: selectedPermissions, - is_default: isDefault, - }); - onCancel(); - } catch (error) { - console.error("Failed to create role:", error); - } finally { - setCreating(false); - } + const copyLink = (invite: Invite) => { + const link = `${window.location.origin}/invite/${invite.invite_code}`; + navigator.clipboard.writeText(link); + setCopiedId(invite.id); + toast.success("Invite link copied"); + setTimeout(() => setCopiedId(null), 2000); }; - const togglePermission = useCallback((perm: string) => { - setSelectedPermissions((prev) => - prev.includes(perm) ? prev.filter((p) => p !== perm) : [...prev, perm] - ); - }, []); - - const toggleCategory = useCallback( - (category: string) => { - const categoryPerms = groupedPermissions[category]?.map((p) => p.value) || []; - const allSelected = categoryPerms.every((p) => selectedPermissions.includes(p)); - - if (allSelected) { - setSelectedPermissions((prev) => prev.filter((p) => !categoryPerms.includes(p))); - } else { - setSelectedPermissions((prev) => [...new Set([...prev, ...categoryPerms])]); - } - }, - [groupedPermissions, selectedPermissions] - ); - - const toggleCategoryExpanded = useCallback((category: string) => { - setExpandedCategories((prev) => - prev.includes(category) ? prev.filter((c) => c !== category) : [...prev, category] - ); - }, []); - - const applyPreset = useCallback( - (presetKey: keyof typeof ROLE_PRESETS) => { - const preset = ROLE_PRESETS[presetKey]; - setSelectedPermissions(preset.permissions); - if (!name.trim()) { - setName(preset.name); - setDescription(preset.description); - } - toast.success(`Applied ${preset.name} preset`); - }, - [name] - ); - - const getCategoryStats = useCallback( - (category: string) => { - const perms = groupedPermissions[category] || []; - const selected = perms.filter((p) => selectedPermissions.includes(p.value)).length; - return { selected, total: perms.length, allSelected: selected === perms.length }; - }, - [groupedPermissions, selectedPermissions] - ); - return ( - - - -
-
-
- + + + + + + + Active Invite Links + + {invites.length} active {invites.length === 1 ? "invite" : "invites"}. Copy a link or + revoke access. + + +
+ {invites.map((invite) => ( +
+
+
+

{invite.name || "Unnamed invite"}

+
+ {invite.role?.name && ( + {invite.role.name} + )} + {invite.max_uses != null && ( + + + {invite.uses_count}/{invite.max_uses} + + )} + {invite.expires_at && ( + + + {new Date(invite.expires_at).toLocaleDateString()} + + )} +
+
+ + + + + + + Revoke invite? + + This will permanently delete this invite link. Anyone with this link will no + longer be able to join. + + + + Cancel + onRevokeInvite(invite.id)} + className="bg-destructive text-destructive-foreground hover:bg-destructive/90" + > + Revoke + + + +
-
- Create Custom Role - - Define permissions for a new role in this search space - -
-
- -
- - - {/* Quick Start with Presets */} -
- -
- {Object.entries(ROLE_PRESETS).map(([key, preset]) => ( - - ))} -
-
- - {/* Role Details */} -
-
- - setName(e.target.value)} - /> -
-
- - setDescription(e.target.value)} - /> -
-
- - {/* Default Role Checkbox */} -
- setIsDefault(checked === true)} - /> -
- -

- New members without a specific role will be assigned this role -

-
-
- - {/* Permissions Section */} -
-
- - -
- -
- {sortedCategories.map((category) => { - const config = CATEGORY_CONFIG[category] || { - label: category, - icon: FileText, - description: "", - order: 99, - }; - const IconComponent = config.icon; - const stats = getCategoryStats(category); - const isExpanded = expandedCategories.includes(category); - const perms = groupedPermissions[category] || []; - - return ( -
- {/* Category Header */} -
toggleCategoryExpanded(category)} - onKeyDown={(e) => { - if (e.key === "Enter" || e.key === " ") { - e.preventDefault(); - toggleCategoryExpanded(category); - } - }} - tabIndex={0} - role="button" - > -
-
0 ? "bg-primary/10" : "bg-muted" - )} - > - 0 ? "text-primary" : "text-muted-foreground" - )} - /> -
-
-
- {config.label} - 0 ? "default" : "secondary"} - className="text-xs h-5" - > - {stats.selected}/{stats.total} - -
-

- {config.description} -

-
-
-
- toggleCategory(category)} - onClick={(e) => e.stopPropagation()} - aria-label={`Select all ${config.label} permissions`} - /> - - - - - -
-
- - {/* Permissions List */} - {isExpanded && ( - -
- {perms.map((perm) => { - const action = perm.value.split(":")[1]; - const actionConfig = ACTION_DISPLAY[action] || { - label: action, - color: "text-gray-600 bg-gray-500/10", - }; - const isSelected = selectedPermissions.includes(perm.value); - - return ( -
togglePermission(perm.value)} - onKeyDown={(e) => { - if (e.key === "Enter" || e.key === " ") { - e.preventDefault(); - togglePermission(perm.value); - } - }} - tabIndex={0} - role="checkbox" - aria-checked={isSelected} - > -
- togglePermission(perm.value)} - onClick={(e) => e.stopPropagation()} - /> -
-
- - {actionConfig.label} - -
-

- {perm.description} -

-
-
-
- ); - })} -
- - )} -
- ); - })} -
-
- - {/* Actions */} -
- - -
- - - - ); -} - -function EditRoleSection({ - role, - groupedPermissions, - onUpdateRole, - onCancel, -}: { - role: Role; - groupedPermissions: Record; - onUpdateRole: ( - roleId: number, - data: { - name?: string; - description?: string | null; - permissions?: string[]; - is_default?: boolean; - } - ) => Promise; - onCancel: () => void; -}) { - const [saving, setSaving] = useState(false); - const [name, setName] = useState(role.name); - const [description, setDescription] = useState(role.description || ""); - const [selectedPermissions, setSelectedPermissions] = useState(role.permissions); - const [isDefault, setIsDefault] = useState(role.is_default); - const [expandedCategories, setExpandedCategories] = useState([]); - - // Sort categories by order - const sortedCategories = useMemo(() => { - return Object.keys(groupedPermissions).sort((a, b) => { - const orderA = CATEGORY_CONFIG[a]?.order ?? 99; - const orderB = CATEGORY_CONFIG[b]?.order ?? 99; - return orderA - orderB; - }); - }, [groupedPermissions]); - - const handleSave = async () => { - if (!name.trim()) { - toast.error("Please enter a role name"); - return; - } - - setSaving(true); - try { - await onUpdateRole(role.id, { - name: name.trim(), - description: description.trim() || null, - permissions: selectedPermissions, - is_default: isDefault, - }); - toast.success("Role updated successfully"); - onCancel(); - } catch (error) { - console.error("Failed to update role:", error); - toast.error("Failed to update role"); - } finally { - setSaving(false); - } - }; - - const togglePermission = useCallback((perm: string) => { - setSelectedPermissions((prev) => - prev.includes(perm) ? prev.filter((p) => p !== perm) : [...prev, perm] - ); - }, []); - - const toggleCategory = useCallback( - (category: string) => { - const categoryPerms = groupedPermissions[category]?.map((p) => p.value) || []; - const allSelected = categoryPerms.every((p) => selectedPermissions.includes(p)); - - if (allSelected) { - setSelectedPermissions((prev) => prev.filter((p) => !categoryPerms.includes(p))); - } else { - setSelectedPermissions((prev) => [...new Set([...prev, ...categoryPerms])]); - } - }, - [groupedPermissions, selectedPermissions] - ); - - const toggleCategoryExpanded = useCallback((category: string) => { - setExpandedCategories((prev) => - prev.includes(category) ? prev.filter((c) => c !== category) : [...prev, category] - ); - }, []); - - const getCategoryStats = useCallback( - (category: string) => { - const perms = groupedPermissions[category] || []; - const selected = perms.filter((p) => selectedPermissions.includes(p.value)).length; - return { selected, total: perms.length, allSelected: selected === perms.length }; - }, - [groupedPermissions, selectedPermissions] - ); - - return ( - - - -
-
-
- -
-
- Edit Role - - Modify permissions for "{role.name}" - + {copiedId === invite.id ? ( + + ) : ( + + )} +
- -
- - - {/* Role Details */} -
-
- - setName(e.target.value)} - /> -
-
- - setDescription(e.target.value)} - /> -
-
- - {/* Default Role Checkbox */} -
- setIsDefault(checked === true)} - /> -
- -

- New members without a specific role will be assigned this role -

-
-
- - {/* Permissions Section */} -
-
- - -
- -
- {sortedCategories.map((category) => { - const config = CATEGORY_CONFIG[category] || { - label: category, - icon: FileText, - description: "", - order: 99, - }; - const IconComponent = config.icon; - const stats = getCategoryStats(category); - const isExpanded = expandedCategories.includes(category); - const perms = groupedPermissions[category] || []; - - return ( -
- {/* Category Header */} -
toggleCategoryExpanded(category)} - onKeyDown={(e) => { - if (e.key === "Enter" || e.key === " ") { - e.preventDefault(); - toggleCategoryExpanded(category); - } - }} - tabIndex={0} - role="button" - > -
-
0 ? "bg-primary/10" : "bg-muted" - )} - > - 0 ? "text-primary" : "text-muted-foreground" - )} - /> -
-
-
- {config.label} - 0 ? "default" : "secondary"} - className="text-xs h-5" - > - {stats.selected}/{stats.total} - -
-

- {config.description} -

-
-
-
- toggleCategory(category)} - onClick={(e) => e.stopPropagation()} - aria-label={`Select all ${config.label} permissions`} - /> - - - - - -
-
- - {/* Permissions List */} - {isExpanded && ( - -
- {perms.map((perm) => { - const action = perm.value.split(":")[1]; - const actionConfig = ACTION_DISPLAY[action] || { - label: action, - color: "text-gray-600 bg-gray-500/10", - }; - const isSelected = selectedPermissions.includes(perm.value); - - return ( -
togglePermission(perm.value)} - onKeyDown={(e) => { - if (e.key === "Enter" || e.key === " ") { - e.preventDefault(); - togglePermission(perm.value); - } - }} - tabIndex={0} - role="checkbox" - aria-checked={isSelected} - > -
- togglePermission(perm.value)} - onClick={(e) => e.stopPropagation()} - /> -
-
- - {actionConfig.label} - -
-

- {perm.description} -

-
-
-
- ); - })} -
- - )} -
- ); - })} -
-
- - {/* Actions */} -
- - -
- - - + ))} +
+ +
); } diff --git a/surfsense_web/components/assistant-ui/connector-popup.tsx b/surfsense_web/components/assistant-ui/connector-popup.tsx index 143508977..bac5c44a3 100644 --- a/surfsense_web/components/assistant-ui/connector-popup.tsx +++ b/surfsense_web/components/assistant-ui/connector-popup.tsx @@ -221,7 +221,7 @@ export const ConnectorIndicator: FC<{ hideTrigger?: boolean }> = ({ hideTrigger )} - + Manage Connectors {/* YouTube Crawler View - shown when adding YouTube videos */} {isYouTubeView && searchSpaceId ? ( @@ -374,7 +374,7 @@ export const ConnectorIndicator: FC<{ hideTrigger?: boolean }> = ({ hideTrigger : "You need to configure a Document Summary LLM before adding connectors. This LLM is used to process and summarize documents from your connected sources."}

diff --git a/surfsense_web/components/layout/ui/shell/LayoutShell.tsx b/surfsense_web/components/layout/ui/shell/LayoutShell.tsx index 2d5a3bba5..107e15d2b 100644 --- a/surfsense_web/components/layout/ui/shell/LayoutShell.tsx +++ b/surfsense_web/components/layout/ui/shell/LayoutShell.tsx @@ -210,6 +210,26 @@ export function LayoutShell({ onCloseMobileSidebar={() => setMobileMenuOpen(false)} /> )} + + {/* Mobile All Shared Chats - slide-out panel */} + {allSharedChatsPanel && ( + setMobileMenuOpen(false)} + /> + )} + + {/* Mobile All Private Chats - slide-out panel */} + {allPrivateChatsPanel && ( + setMobileMenuOpen(false)} + /> + )} diff --git a/surfsense_web/components/layout/ui/sidebar/AllPrivateChatsSidebar.tsx b/surfsense_web/components/layout/ui/sidebar/AllPrivateChatsSidebar.tsx index 3dd77ea1d..36a20cf3f 100644 --- a/surfsense_web/components/layout/ui/sidebar/AllPrivateChatsSidebar.tsx +++ b/surfsense_web/components/layout/ui/sidebar/AllPrivateChatsSidebar.tsx @@ -4,8 +4,10 @@ import { useQuery, useQueryClient } from "@tanstack/react-query"; import { format } from "date-fns"; import { ArchiveIcon, + ChevronLeft, MessageCircleMore, MoreHorizontal, + PenLine, RotateCcwIcon, Search, Trash2, @@ -17,6 +19,14 @@ import { useTranslations } from "next-intl"; import { useCallback, useEffect, useMemo, useState } from "react"; import { toast } from "sonner"; import { Button } from "@/components/ui/button"; +import { + Dialog, + DialogContent, + DialogDescription, + DialogFooter, + DialogHeader, + DialogTitle, +} from "@/components/ui/dialog"; import { DropdownMenu, DropdownMenuContent, @@ -69,6 +79,10 @@ export function AllPrivateChatsSidebar({ const [searchQuery, setSearchQuery] = useState(""); const [showArchived, setShowArchived] = useState(false); const [openDropdownId, setOpenDropdownId] = useState(null); + const [showRenameDialog, setShowRenameDialog] = useState(false); + const [renamingThread, setRenamingThread] = useState<{ id: number; title: string } | null>(null); + const [newTitle, setNewTitle] = useState(""); + const [isRenaming, setIsRenaming] = useState(false); const debouncedSearchQuery = useDebouncedValue(searchQuery, 300); const isSearchMode = !!debouncedSearchQuery.trim(); @@ -187,6 +201,35 @@ export function AllPrivateChatsSidebar({ [queryClient, searchSpaceId, t] ); + const handleStartRename = useCallback((threadId: number, title: string) => { + setRenamingThread({ id: threadId, title }); + setNewTitle(title); + setShowRenameDialog(true); + }, []); + + const handleConfirmRename = useCallback(async () => { + if (!renamingThread || !newTitle.trim()) return; + setIsRenaming(true); + try { + await updateThread(renamingThread.id, { title: newTitle.trim() }); + toast.success(t("chat_renamed") || "Chat renamed"); + queryClient.invalidateQueries({ queryKey: ["all-threads", searchSpaceId] }); + queryClient.invalidateQueries({ queryKey: ["search-threads", searchSpaceId] }); + queryClient.invalidateQueries({ queryKey: ["threads", searchSpaceId] }); + queryClient.invalidateQueries({ + queryKey: ["threads", searchSpaceId, "detail", String(renamingThread.id)], + }); + } catch (error) { + console.error("Error renaming thread:", error); + toast.error(t("error_renaming_chat") || "Failed to rename chat"); + } finally { + setIsRenaming(false); + setShowRenameDialog(false); + setRenamingThread(null); + setNewTitle(""); + } + }, [renamingThread, newTitle, queryClient, searchSpaceId, t]); + const handleClearSearch = useCallback(() => { setSearchQuery(""); }, []); @@ -205,6 +248,17 @@ export function AllPrivateChatsSidebar({ >
+ {isMobile && ( + + )}

{t("chats") || "Private Chats"}

@@ -356,6 +410,14 @@ export function AllPrivateChatsSidebar({ + {!thread.archived && ( + handleStartRename(thread.id, thread.title || "New Chat")} + > + + {t("rename") || "Rename"} + + )} handleToggleArchive(thread.id, thread.archived)} disabled={isArchiving} @@ -412,6 +474,51 @@ export function AllPrivateChatsSidebar({
)} + + + + + {t("rename_chat") || "Rename Chat"} + + + {t("rename_chat_description") || "Enter a new name for this conversation."} + + + setNewTitle(e.target.value)} + placeholder={t("chat_title_placeholder") || "Chat title"} + onKeyDown={(e) => { + if (e.key === "Enter" && !isRenaming && newTitle.trim()) { + handleConfirmRename(); + } + }} + /> + + + + + + ); } diff --git a/surfsense_web/components/layout/ui/sidebar/AllSharedChatsSidebar.tsx b/surfsense_web/components/layout/ui/sidebar/AllSharedChatsSidebar.tsx index fae9fb05e..108ba4cde 100644 --- a/surfsense_web/components/layout/ui/sidebar/AllSharedChatsSidebar.tsx +++ b/surfsense_web/components/layout/ui/sidebar/AllSharedChatsSidebar.tsx @@ -4,8 +4,10 @@ import { useQuery, useQueryClient } from "@tanstack/react-query"; import { format } from "date-fns"; import { ArchiveIcon, + ChevronLeft, MessageCircleMore, MoreHorizontal, + PenLine, RotateCcwIcon, Search, Trash2, @@ -17,6 +19,14 @@ import { useTranslations } from "next-intl"; import { useCallback, useEffect, useMemo, useState } from "react"; import { toast } from "sonner"; import { Button } from "@/components/ui/button"; +import { + Dialog, + DialogContent, + DialogDescription, + DialogFooter, + DialogHeader, + DialogTitle, +} from "@/components/ui/dialog"; import { DropdownMenu, DropdownMenuContent, @@ -69,6 +79,10 @@ export function AllSharedChatsSidebar({ const [searchQuery, setSearchQuery] = useState(""); const [showArchived, setShowArchived] = useState(false); const [openDropdownId, setOpenDropdownId] = useState(null); + const [showRenameDialog, setShowRenameDialog] = useState(false); + const [renamingThread, setRenamingThread] = useState<{ id: number; title: string } | null>(null); + const [newTitle, setNewTitle] = useState(""); + const [isRenaming, setIsRenaming] = useState(false); const debouncedSearchQuery = useDebouncedValue(searchQuery, 300); const isSearchMode = !!debouncedSearchQuery.trim(); @@ -187,6 +201,35 @@ export function AllSharedChatsSidebar({ [queryClient, searchSpaceId, t] ); + const handleStartRename = useCallback((threadId: number, title: string) => { + setRenamingThread({ id: threadId, title }); + setNewTitle(title); + setShowRenameDialog(true); + }, []); + + const handleConfirmRename = useCallback(async () => { + if (!renamingThread || !newTitle.trim()) return; + setIsRenaming(true); + try { + await updateThread(renamingThread.id, { title: newTitle.trim() }); + toast.success(t("chat_renamed") || "Chat renamed"); + queryClient.invalidateQueries({ queryKey: ["all-threads", searchSpaceId] }); + queryClient.invalidateQueries({ queryKey: ["search-threads", searchSpaceId] }); + queryClient.invalidateQueries({ queryKey: ["threads", searchSpaceId] }); + queryClient.invalidateQueries({ + queryKey: ["threads", searchSpaceId, "detail", String(renamingThread.id)], + }); + } catch (error) { + console.error("Error renaming thread:", error); + toast.error(t("error_renaming_chat") || "Failed to rename chat"); + } finally { + setIsRenaming(false); + setShowRenameDialog(false); + setRenamingThread(null); + setNewTitle(""); + } + }, [renamingThread, newTitle, queryClient, searchSpaceId, t]); + const handleClearSearch = useCallback(() => { setSearchQuery(""); }, []); @@ -205,6 +248,17 @@ export function AllSharedChatsSidebar({ >
+ {isMobile && ( + + )}

{t("shared_chats") || "Shared Chats"}

@@ -356,6 +410,14 @@ export function AllSharedChatsSidebar({ + {!thread.archived && ( + handleStartRename(thread.id, thread.title || "New Chat")} + > + + {t("rename") || "Rename"} + + )} handleToggleArchive(thread.id, thread.archived)} disabled={isArchiving} @@ -412,6 +474,51 @@ export function AllSharedChatsSidebar({
)} + + + + + {t("rename_chat") || "Rename Chat"} + + + {t("rename_chat_description") || "Enter a new name for this conversation."} + + + setNewTitle(e.target.value)} + placeholder={t("chat_title_placeholder") || "Chat title"} + onKeyDown={(e) => { + if (e.key === "Enter" && !isRenaming && newTitle.trim()) { + handleConfirmRename(); + } + }} + /> + + + + + + ); } diff --git a/surfsense_web/components/layout/ui/sidebar/ChatListItem.tsx b/surfsense_web/components/layout/ui/sidebar/ChatListItem.tsx index 157a2ae04..c41964142 100644 --- a/surfsense_web/components/layout/ui/sidebar/ChatListItem.tsx +++ b/surfsense_web/components/layout/ui/sidebar/ChatListItem.tsx @@ -4,7 +4,7 @@ import { ArchiveIcon, MessageSquare, MoreHorizontal, - PencilIcon, + PenLine, RotateCcwIcon, Trash2, } from "lucide-react"; @@ -74,7 +74,7 @@ export function ChatListItem({ onRename(); }} > - + {t("rename") || "Rename"} )} diff --git a/surfsense_web/components/layout/ui/sidebar/InboxSidebar.tsx b/surfsense_web/components/layout/ui/sidebar/InboxSidebar.tsx index ce64adae9..9fc0a121a 100644 --- a/surfsense_web/components/layout/ui/sidebar/InboxSidebar.tsx +++ b/surfsense_web/components/layout/ui/sidebar/InboxSidebar.tsx @@ -727,7 +727,7 @@ export function InboxSidebar({ {t("filter") || "Filter"} diff --git a/surfsense_web/components/layout/ui/sidebar/MobileSidebar.tsx b/surfsense_web/components/layout/ui/sidebar/MobileSidebar.tsx index 567236498..f5909ef85 100644 --- a/surfsense_web/components/layout/ui/sidebar/MobileSidebar.tsx +++ b/surfsense_web/components/layout/ui/sidebar/MobileSidebar.tsx @@ -131,7 +131,7 @@ export function MobileSidebar({ {/* Sidebar Content - right side */} -
+
- + - + {t("manage_members")} - + {t("search_space_settings")} diff --git a/surfsense_web/components/layout/ui/sidebar/SidebarSlideOutPanel.tsx b/surfsense_web/components/layout/ui/sidebar/SidebarSlideOutPanel.tsx index beb1c81c0..805911f88 100644 --- a/surfsense_web/components/layout/ui/sidebar/SidebarSlideOutPanel.tsx +++ b/surfsense_web/components/layout/ui/sidebar/SidebarSlideOutPanel.tsx @@ -65,7 +65,7 @@ export function SidebarSlideOutPanel({ exit={{ x: "-100%" }} transition={{ type: "tween", duration: 0.2, ease: [0.4, 0, 0.2, 1] }} className={cn( - "h-full w-full bg-background flex flex-col pointer-events-auto", + "h-full w-full bg-background flex flex-col pointer-events-auto select-none", "sm:border-r sm:shadow-xl" )} role="dialog" diff --git a/surfsense_web/components/layout/ui/sidebar/SidebarUserProfile.tsx b/surfsense_web/components/layout/ui/sidebar/SidebarUserProfile.tsx index 3ba7bb2a0..1a0fac9e9 100644 --- a/surfsense_web/components/layout/ui/sidebar/SidebarUserProfile.tsx +++ b/surfsense_web/components/layout/ui/sidebar/SidebarUserProfile.tsx @@ -177,7 +177,7 @@ export function SidebarUserProfile({ {displayName} - +
@@ -191,14 +191,14 @@ export function SidebarUserProfile({ - + {t("user_settings")} {setTheme && ( - + {t("theme")} @@ -216,7 +216,7 @@ export function SidebarUserProfile({ isSelected && "text-primary" )} > - + {t(themeOption.value)} {isSelected && } @@ -229,7 +229,7 @@ export function SidebarUserProfile({ - + {t("language")} @@ -262,7 +262,7 @@ export function SidebarUserProfile({ {isLoggingOut ? ( ) : ( - + )} {isLoggingOut ? t("loggingOut") : t("logout")} @@ -299,7 +299,7 @@ export function SidebarUserProfile({ - +
@@ -313,14 +313,14 @@ export function SidebarUserProfile({ - + {t("user_settings")} {setTheme && ( - + {t("theme")} @@ -338,7 +338,7 @@ export function SidebarUserProfile({ isSelected && "text-primary" )} > - + {t(themeOption.value)} {isSelected && } @@ -351,7 +351,7 @@ export function SidebarUserProfile({ - + {t("language")} @@ -381,11 +381,7 @@ export function SidebarUserProfile({ - {isLoggingOut ? ( - - ) : ( - - )} + {isLoggingOut ? : } {isLoggingOut ? t("loggingOut") : t("logout")} diff --git a/surfsense_web/components/new-chat/chat-share-button.tsx b/surfsense_web/components/new-chat/chat-share-button.tsx index 0cd23b705..bfb6d91fc 100644 --- a/surfsense_web/components/new-chat/chat-share-button.tsx +++ b/surfsense_web/components/new-chat/chat-share-button.tsx @@ -144,7 +144,9 @@ export function ChatShareButton({ thread, onVisibilityChange, className }: ChatS + + + {versions.map((v, i) => ( + setActiveReportId(v.id)} + className={v.id === activeReportId ? "bg-accent font-medium" : ""} > - v{activeVersionIndex + 1} - - - - - {versions.map((v, i) => ( - setActiveReportId(v.id)} - className={v.id === activeReportId ? "bg-accent font-medium" : ""} - > - Version {i + 1} - - ))} - - - ) : ( - /* Desktop: inline version buttons */ -
-
- {versions.map((v, i) => ( - - ))} -
- - {activeVersionIndex + 1} of {versions.length} - -
- ))} + Version {i + 1} + + ))} + + + )}
{onClose && ( +
+ )} + + + + {editingRole && ( + { + if (!open) setEditingRoleId(null); + }} + role={editingRole} + groupedPermissions={groupedPermissions} + onUpdateRole={onUpdateRole} + /> + )} + +
+ {roles.map((role, index) => ( + + + + + e.preventDefault()}> + {canUpdate && ( + setEditingRoleId(role.id)}> + + Edit Role + + )} + {canDelete && ( + <> + + + + e.preventDefault()} + > + + Delete Role + + + + + Delete role? + + This will permanently delete the "{role.name}" role. + Members with this role will lose their permissions. + + + + Cancel + onDeleteRole(role.id)} + className="bg-destructive text-destructive-foreground hover:bg-destructive/90" + > + Delete + + + + + + )} + + +
+ )} + + + + ))} +
+ + ); +} + +// ============ Permissions Editor (shared by Create and Edit) ============ + +function PermissionsEditor({ + groupedPermissions, + selectedPermissions, + onTogglePermission, + onToggleCategory, +}: { + groupedPermissions: Record; + selectedPermissions: string[]; + onTogglePermission: (perm: string) => void; + onToggleCategory: (category: string) => void; +}) { + const [expandedCategories, setExpandedCategories] = useState([]); + + const sortedCategories = useMemo(() => { + return Object.keys(groupedPermissions).sort((a, b) => { + const orderA = CATEGORY_CONFIG[a]?.order ?? 99; + const orderB = CATEGORY_CONFIG[b]?.order ?? 99; + return orderA - orderB; + }); + }, [groupedPermissions]); + + const toggleCategoryExpanded = useCallback((category: string) => { + setExpandedCategories((prev) => + prev.includes(category) ? prev.filter((c) => c !== category) : [...prev, category] + ); + }, []); + + const getCategoryStats = useCallback( + (category: string) => { + const perms = groupedPermissions[category] || []; + const selected = perms.filter((p) => selectedPermissions.includes(p.value)).length; + return { + selected, + total: perms.length, + allSelected: selected === perms.length, + }; + }, + [groupedPermissions, selectedPermissions] + ); + + return ( +
+
+ + +
+ +
+ {sortedCategories.map((category) => { + const config = CATEGORY_CONFIG[category] || { + label: category, + icon: FileText, + description: "", + order: 99, + }; + const IconComponent = config.icon; + const stats = getCategoryStats(category); + const isExpanded = expandedCategories.includes(category); + const perms = groupedPermissions[category] || []; + + return ( +
+ + + {isExpanded && ( + +
+ {perms.map((perm) => { + const action = perm.value.split(":")[1]; + const actionLabel = ACTION_LABELS[action] || action.replace(/_/g, " "); + const isSelected = selectedPermissions.includes(perm.value); + + return ( + + ); + })} +
+ + )} +
+ ); + })} +
+
+ ); +} + +// ============ Create Role Dialog ============ + +function CreateRoleDialog({ + open, + onOpenChange, + groupedPermissions, + onCreateRole, +}: { + open: boolean; + onOpenChange: (open: boolean) => void; + groupedPermissions: Record; + onCreateRole: (data: CreateRoleRequest["data"]) => Promise; +}) { + const [creating, setCreating] = useState(false); + const [name, setName] = useState(""); + const [description, setDescription] = useState(""); + const [selectedPermissions, setSelectedPermissions] = useState([]); + const [isDefault, setIsDefault] = useState(false); + + const handleClose = () => { + onOpenChange(false); + setName(""); + setDescription(""); + setSelectedPermissions([]); + setIsDefault(false); + }; + + const handleCreate = async () => { + if (!name.trim()) { + toast.error("Please enter a role name"); + return; + } + + setCreating(true); + try { + await onCreateRole({ + name: name.trim(), + description: description.trim() || null, + permissions: selectedPermissions, + is_default: isDefault, + }); + handleClose(); + } catch (error) { + console.error("Failed to create role:", error); + } finally { + setCreating(false); + } + }; + + const togglePermission = useCallback((perm: string) => { + setSelectedPermissions((prev) => + prev.includes(perm) ? prev.filter((p) => p !== perm) : [...prev, perm] + ); + }, []); + + const toggleCategory = useCallback( + (category: string) => { + const categoryPerms = groupedPermissions[category]?.map((p) => p.value) || []; + const allSelected = categoryPerms.every((p) => selectedPermissions.includes(p)); + + if (allSelected) { + setSelectedPermissions((prev) => prev.filter((p) => !categoryPerms.includes(p))); + } else { + setSelectedPermissions((prev) => [...new Set([...prev, ...categoryPerms])]); + } + }, + [groupedPermissions, selectedPermissions] + ); + + const applyPreset = useCallback( + (presetKey: keyof typeof ROLE_PRESETS) => { + const preset = ROLE_PRESETS[presetKey]; + setSelectedPermissions(preset.permissions); + if (!name.trim()) { + setName(preset.name); + setDescription(preset.description); + } + toast.success(`Applied ${preset.name} preset`); + }, + [name] + ); + + return ( + (v ? onOpenChange(true) : handleClose())}> + + + Create Custom Role + + Define permissions for a new role in this search space + + +
+
+
+ +
+ {Object.entries(ROLE_PRESETS).map(([key, preset]) => ( + + ))} +
+
+ +
+
+ + setName(e.target.value)} + /> +
+
+ + setDescription(e.target.value)} + /> +
+
+ +
+ setIsDefault(checked === true)} + /> +
+ +

+ New members without a specific role will be assigned this role +

+
+
+ + +
+
+
+ + +
+ + + ); +} + +// ============ Edit Role Dialog ============ + +function EditRoleDialog({ + open, + onOpenChange, + role, + groupedPermissions, + onUpdateRole, +}: { + open: boolean; + onOpenChange: (open: boolean) => void; + role: Role; + groupedPermissions: Record; + onUpdateRole: ( + roleId: number, + data: { + name?: string; + description?: string | null; + permissions?: string[]; + is_default?: boolean; + } + ) => Promise; +}) { + const [saving, setSaving] = useState(false); + const [name, setName] = useState(role.name); + const [description, setDescription] = useState(role.description || ""); + const [selectedPermissions, setSelectedPermissions] = useState(role.permissions); + const [isDefault, setIsDefault] = useState(role.is_default); + + useEffect(() => { + if (open) { + setName(role.name); + setDescription(role.description || ""); + setSelectedPermissions(role.permissions); + setIsDefault(role.is_default); + } + }, [open, role]); + + const handleSave = async () => { + if (!name.trim()) { + toast.error("Please enter a role name"); + return; + } + + setSaving(true); + try { + await onUpdateRole(role.id, { + name: name.trim(), + description: description.trim() || null, + permissions: selectedPermissions, + is_default: isDefault, + }); + toast.success("Role updated successfully"); + onOpenChange(false); + } catch (error) { + console.error("Failed to update role:", error); + toast.error("Failed to update role"); + } finally { + setSaving(false); + } + }; + + const togglePermission = useCallback((perm: string) => { + setSelectedPermissions((prev) => + prev.includes(perm) ? prev.filter((p) => p !== perm) : [...prev, perm] + ); + }, []); + + const toggleCategory = useCallback( + (category: string) => { + const categoryPerms = groupedPermissions[category]?.map((p) => p.value) || []; + const allSelected = categoryPerms.every((p) => selectedPermissions.includes(p)); + + if (allSelected) { + setSelectedPermissions((prev) => prev.filter((p) => !categoryPerms.includes(p))); + } else { + setSelectedPermissions((prev) => [...new Set([...prev, ...categoryPerms])]); + } + }, + [groupedPermissions, selectedPermissions] + ); + + return ( + + + + Edit Role + + Modify permissions for "{role.name}" + + +
+
+
+
+ + setName(e.target.value)} + /> +
+
+ + setDescription(e.target.value)} + /> +
+
+ +
+ setIsDefault(checked === true)} + /> +
+ +

+ New members without a specific role will be assigned this role +

+
+
+ + +
+
+
+ + +
+ + + ); +} diff --git a/surfsense_web/components/sources/DocumentUploadTab.tsx b/surfsense_web/components/sources/DocumentUploadTab.tsx index 1018cbdf6..94ba187d6 100644 --- a/surfsense_web/components/sources/DocumentUploadTab.tsx +++ b/surfsense_web/components/sources/DocumentUploadTab.tsx @@ -1,7 +1,7 @@ "use client"; import { useAtom } from "jotai"; -import { CheckCircle2, FileType, Info, Tag, Upload, X } from "lucide-react"; +import { CheckCircle2, FileType, Info, Upload, X } from "lucide-react"; import { AnimatePresence, motion } from "motion/react"; import { useTranslations } from "next-intl"; import { useCallback, useMemo, useRef, useState } from "react"; @@ -452,7 +452,6 @@ export function DocumentUploadTab({
-
{t("supported_file_types")} diff --git a/surfsense_web/components/tool-ui/google-drive/create-file.tsx b/surfsense_web/components/tool-ui/google-drive/create-file.tsx new file mode 100644 index 000000000..f2cc97dcf --- /dev/null +++ b/surfsense_web/components/tool-ui/google-drive/create-file.tsx @@ -0,0 +1,584 @@ +"use client"; + +import { makeAssistantToolUI } from "@assistant-ui/react"; +import { + AlertTriangleIcon, + CheckIcon, + FileIcon, + Loader2Icon, + PencilIcon, + RefreshCwIcon, + XIcon, +} from "lucide-react"; +import { useParams } from "next/navigation"; +import { useMemo, useState } from "react"; +import { toast } from "sonner"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, + SelectValue, +} from "@/components/ui/select"; +import { Textarea } from "@/components/ui/textarea"; +import { authenticatedFetch } from "@/lib/auth-utils"; + +interface GoogleDriveAccount { + id: number; + name: string; +} + +interface InterruptResult { + __interrupt__: true; + __decided__?: "approve" | "reject" | "edit"; + action_requests: Array<{ + name: string; + args: Record; + }>; + review_configs: Array<{ + action_name: string; + allowed_decisions: Array<"approve" | "edit" | "reject">; + }>; + context?: { + accounts?: GoogleDriveAccount[]; + supported_types?: string[]; + error?: string; + }; +} + +interface SuccessResult { + status: "success"; + file_id: string; + name: string; + web_view_link?: string; + message?: string; +} + +interface ErrorResult { + status: "error"; + message: string; +} + +interface InsufficientPermissionsResult { + status: "insufficient_permissions"; + connector_id: number; + message: string; +} + +type CreateGoogleDriveFileResult = + | InterruptResult + | SuccessResult + | ErrorResult + | InsufficientPermissionsResult; + +function isInterruptResult(result: unknown): result is InterruptResult { + return ( + typeof result === "object" && + result !== null && + "__interrupt__" in result && + (result as InterruptResult).__interrupt__ === true + ); +} + +function isErrorResult(result: unknown): result is ErrorResult { + return ( + typeof result === "object" && + result !== null && + "status" in result && + (result as ErrorResult).status === "error" + ); +} + +function isInsufficientPermissionsResult(result: unknown): result is InsufficientPermissionsResult { + return ( + typeof result === "object" && + result !== null && + "status" in result && + (result as InsufficientPermissionsResult).status === "insufficient_permissions" + ); +} + +const FILE_TYPE_LABELS: Record = { + google_doc: "Google Doc", + google_sheet: "Google Sheet", +}; + +function ApprovalCard({ + args, + interruptData, + onDecision, +}: { + args: { name: string; file_type: string; content?: string }; + interruptData: InterruptResult; + onDecision: (decision: { + type: "approve" | "reject" | "edit"; + message?: string; + edited_action?: { name: string; args: Record }; + }) => void; +}) { + const [decided, setDecided] = useState<"approve" | "reject" | "edit" | null>( + interruptData.__decided__ ?? null + ); + const [isEditing, setIsEditing] = useState(false); + const [editedName, setEditedName] = useState(args.name ?? ""); + const [editedContent, setEditedContent] = useState(args.content ?? ""); + const [committedArgs, setCommittedArgs] = useState<{ + name: string; + file_type: string; + content?: string | null; + } | null>(null); + + const accounts = interruptData.context?.accounts ?? []; + + const defaultAccountId = useMemo(() => { + if (accounts.length === 1) return String(accounts[0].id); + return ""; + }, [accounts]); + + const [selectedAccountId, setSelectedAccountId] = useState(defaultAccountId); + const [selectedFileType, setSelectedFileType] = useState(args.file_type ?? "google_doc"); + const [parentFolderId, setParentFolderId] = useState(""); + + const isNameValid = useMemo( + () => (isEditing ? editedName.trim().length > 0 : args.name?.trim().length > 0), + [isEditing, editedName, args.name] + ); + + const canApprove = !!selectedAccountId && isNameValid; + + const reviewConfig = interruptData.review_configs[0]; + const allowedDecisions = reviewConfig?.allowed_decisions ?? ["approve", "reject"]; + const canEdit = allowedDecisions.includes("edit"); + + function buildFinalArgs() { + return { + name: isEditing ? editedName : args.name, + file_type: selectedFileType, + content: isEditing ? editedContent || null : (args.content ?? null), + connector_id: selectedAccountId ? Number(selectedAccountId) : null, + parent_folder_id: parentFolderId.trim() || null, + }; + } + + return ( +
+ {/* Header */} +
+
+ +
+
+

Create Google Drive File

+

+ {isEditing ? "You can edit the arguments below" : "Requires your approval to proceed"} +

+
+
+ + {/* Context section */} + {!decided && interruptData.context && ( +
+ {interruptData.context.error ? ( +

{interruptData.context.error}

+ ) : ( + <> + {accounts.length > 0 && ( +
+
+ Google Drive Account * +
+ +
+ )} + +
+
+ File Type * +
+ +
+ +
+
+ Parent Folder ID (optional) +
+ setParentFolderId(e.target.value)} + placeholder="Leave blank to create at Drive root" + /> +

+ Paste a Google Drive folder ID to place the file in a specific folder. +

+
+ + )} +
+ )} + + {/* Display mode */} + {!isEditing && ( +
+
+

Name

+

{committedArgs?.name ?? args.name}

+
+
+

Type

+

+ {FILE_TYPE_LABELS[committedArgs?.file_type ?? args.file_type] ?? + committedArgs?.file_type ?? + args.file_type} +

+
+ {(committedArgs?.content ?? args.content) && ( +
+

Content

+

+ {committedArgs?.content ?? args.content} +

+
+ )} +
+ )} + + {/* Edit mode */} + {isEditing && !decided && ( +
+
+ + setEditedName(e.target.value)} + placeholder="Enter file name" + className={!isNameValid ? "border-destructive" : ""} + /> + {!isNameValid &&

Name is required

} +
+
+ +