mirror of
https://github.com/MODSetter/SurfSense.git
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chore: linting
This commit is contained in:
parent
be35eb8743
commit
c0ebb62fb2
20 changed files with 158 additions and 125 deletions
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@ -29,8 +29,7 @@ import re
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import time
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from typing import Any
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from app.utils.captcha import CaptchaConfig
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from app.utils.captcha import solvers
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from app.utils.captcha import CaptchaConfig, solvers
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logger = logging.getLogger(__name__)
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@ -42,8 +42,10 @@ from urllib.parse import urlsplit, urlunsplit
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from scrapling.fetchers import AsyncFetcher
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from app.proprietary.platforms.google_search import captcha as _captcha
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from app.proprietary.platforms.google_search import pool_store as _store
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from app.proprietary.platforms.google_search import (
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captcha as _captcha,
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pool_store as _store,
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)
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from app.utils.captcha import captcha_enabled, get_captcha_config
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from app.utils.proxy import get_proxy_url
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@ -374,9 +376,8 @@ def _make_page_action(proxy: str | None, cfg):
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"""
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async def page_action(page):
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if _captcha.on_sorry(page):
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if await _captcha.solve_sorry(page, proxy, cfg):
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_exemption_jar[proxy or ""] = await _captcha.exemption_cookies(page)
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if _captcha.on_sorry(page) and await _captcha.solve_sorry(page, proxy, cfg):
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_exemption_jar[proxy or ""] = await _captcha.exemption_cookies(page)
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return await _expand_blocks(page)
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return page_action
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@ -15,7 +15,7 @@ never block the request loop and don't care which loop the caller is on.
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``ponytail:`` the shared store holds only exemptions (the costly artifact), not
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per-process render concurrency — global per-IP load is still governed by each
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process's local per-IP cap × the number of processes, so size the pool for the
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process's local per-IP cap x the number of processes, so size the pool for the
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fleet (see ``GOOGLE_SEARCH_WARM_POOL_TARGET``). Full distributed inflight
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accounting is the upgrade path if a single shared IP ever gets overloaded.
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"""
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@ -299,11 +299,10 @@ def _is_unrecoverable(exc: Exception) -> bool:
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"""True for solver errors that must latch solving off.
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Covers the in-house seam's typed errors (``SolverBalanceError`` /
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``SolverAuthError`` / ``SolverUnsupported``) plus legacy/no-balance shapes.
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``SolverAuthError`` / ``SolverUnsupportedError``) plus legacy/no-balance shapes.
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Matched by class name so no solver module must be imported here.
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"""
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name = type(exc).__name__.lower()
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return any(
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k in name
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for k in ("balance", "apikey", "auth", "unsupported", "wronguser")
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k in name for k in ("balance", "apikey", "auth", "unsupported", "wronguser")
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)
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@ -863,7 +863,7 @@ async def _workspace_has_enabled_chat_model(
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.options(selectinload(Connection.models))
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.where(
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Connection.workspace_id == workspace_id,
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Connection.enabled == True,
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Connection.enabled,
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)
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)
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return any(
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@ -10,7 +10,7 @@ the reCAPTCHA-*Enterprise* ``/sorry`` wall). Both express the Enterprise pieces
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Google needs — the widget sitekey plus the page's dynamic ``data-s`` token
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(something ``captchatools`` could not). More vendors (anticaptcha / capmonster)
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are added progressively as new entries in :data:`_PROVIDERS`; until then an
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unconfigured provider raises :class:`SolverUnsupported` so callers latch off
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unconfigured provider raises :class:`SolverUnsupportedError` so callers latch off
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cleanly instead of leaking the API key to the wrong service.
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"""
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@ -41,7 +41,7 @@ class SolverBalanceError(SolverError):
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"""Solver account is out of balance — unrecoverable this process."""
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class SolverUnsupported(SolverError):
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class SolverUnsupportedError(SolverError):
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"""Configured provider has no in-house client yet — unrecoverable."""
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@ -108,7 +108,11 @@ def _twocaptcha(
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"min_score": cfg.v3_min_score,
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}
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else: # v2, optionally the Enterprise variant (adds enterprise=1 + data-s)
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payload |= {"method": "userrecaptcha", "googlekey": sitekey, "pageurl": page_url}
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payload |= {
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"method": "userrecaptcha",
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"googlekey": sitekey,
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"pageurl": page_url,
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}
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if enterprise:
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payload["enterprise"] = 1
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if data_s:
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@ -295,7 +299,7 @@ def solve(
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"""
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client = _PROVIDERS.get((cfg.solving_site or "").lower())
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if client is None:
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raise SolverUnsupported(
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raise SolverUnsupportedError(
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f"captcha provider {cfg.solving_site!r} has no in-house client "
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f"(supported: {supported_providers()})"
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)
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@ -26,7 +26,6 @@ from __future__ import annotations
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import argparse
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import asyncio
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import statistics
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import sys
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import threading
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import time
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@ -181,7 +180,9 @@ async def main() -> None:
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ap = argparse.ArgumentParser()
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ap.add_argument("--count", type=int, default=400)
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ap.add_argument("--rate", type=float, default=60.0, help="arrivals/sec (sim clock)")
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ap.add_argument("--warm", type=float, default=0.10, help="warm render seconds (sim)")
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ap.add_argument(
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"--warm", type=float, default=0.10, help="warm render seconds (sim)"
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)
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ap.add_argument("--solve", type=float, default=0.45, help="solve seconds (sim)")
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ap.add_argument("--precheck", type=float, default=0.01)
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args = ap.parse_args()
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@ -206,23 +207,37 @@ async def main() -> None:
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thru_real = thru_sim / scale
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print("\n=== Google Search scale simulation ===")
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print(f" gate (_MAX_CONCURRENT_PAGES) = {gate}"
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+ (f", warm-pool target = {pool}" if pool else " (single-slot sticky IP)"))
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print(
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f" gate (_MAX_CONCURRENT_PAGES) = {gate}"
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+ (f", warm-pool target = {pool}" if pool else " (single-slot sticky IP)")
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)
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print(f" requests={args.count} arrival_rate={args.rate}/s (sim)")
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print(f" --- structure (scale-free) ---")
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print(f" paid solves = {metrics.solves} (want ~pool size, not ~requests)")
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print(" --- structure (scale-free) ---")
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print(
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f" paid solves = {metrics.solves} (want ~pool size, not ~requests)"
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)
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print(f" distinct sticky IPs = {len(metrics.ip_hits)}")
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print(f" busiest IP carried = {top_hits}/{metrics.renders} renders "
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f"({top_share:.0f}%) (funneling; want ~even spread)")
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print(
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f" busiest IP carried = {top_hits}/{metrics.renders} renders "
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f"({top_share:.0f}%) (funneling; want ~even spread)"
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)
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print(f" peak renders on 1 IP = {hot_peak} (concurrency; capped by gate)")
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print(f" --- throughput / latency (extrapolated to live @ warm={_REAL_WARM_S}s) ---")
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print(f" throughput = {thru_real*60:.0f} SERP/min ({thru_real:.2f}/s)")
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print(f" latency p50 = {_pct(lat,50)*scale:6.1f}s p95 = {_pct(lat,95)*scale:6.1f}s "
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f"p99 = {_pct(lat,99)*scale:6.1f}s")
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print(f" ceiling (gate/warm) = {gate/_REAL_WARM_S*60:.0f} SERP/min per process")
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print(
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f" --- throughput / latency (extrapolated to live @ warm={_REAL_WARM_S}s) ---"
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)
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print(f" throughput = {thru_real * 60:.0f} SERP/min ({thru_real:.2f}/s)")
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print(
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f" latency p50 = {_pct(lat, 50) * scale:6.1f}s p95 = {_pct(lat, 95) * scale:6.1f}s "
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f"p99 = {_pct(lat, 99) * scale:6.1f}s"
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)
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print(
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f" ceiling (gate/warm) = {gate / _REAL_WARM_S * 60:.0f} SERP/min per process"
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)
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need = 500 / (gate / _REAL_WARM_S * 60)
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print(f" -> to sustain 500 SERP/min you need ~{need:.0f} such processes "
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f"(or a larger gate)\n")
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print(
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f" -> to sustain 500 SERP/min you need ~{need:.0f} such processes "
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f"(or a larger gate)\n"
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)
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if __name__ == "__main__":
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@ -51,9 +51,7 @@ _INFO = [
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class _LogTally(logging.Handler):
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"""Counts solves / renders / walls / pool-reuse from the live log stream."""
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_RENDER = re.compile(
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r"has_results=(\w+).*from_pool=(\w+) pool=(\d+)"
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)
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_RENDER = re.compile(r"has_results=(\w+).*from_pool=(\w+) pool=(\d+)")
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_SOLVE = re.compile(r"\[captcha\] solve (OK|did not)")
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def __init__(self) -> None:
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@ -147,7 +145,7 @@ async def main() -> None:
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lg.setLevel(logging.INFO)
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lg.addHandler(tally)
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from app.proprietary.platforms.google_search.fetch import ( # noqa: E402
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from app.proprietary.platforms.google_search.fetch import (
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_WARM_POOL_TARGET,
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close_sessions,
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)
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@ -157,9 +155,11 @@ async def main() -> None:
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total_serps = sum(w for _, w in plans)
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n_multi = sum(1 for _, w in plans if w > 1)
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print(f"\n=== LIVE stress: {args.users} users "
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f"({args.users - n_multi} single / {n_multi} multi), "
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f"~{total_serps} SERPs, gate={args.gate}, pool_target={_WARM_POOL_TARGET} ===")
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print(
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f"\n=== LIVE stress: {args.users} users "
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f"({args.users - n_multi} single / {n_multi} multi), "
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f"~{total_serps} SERPs, gate={args.gate}, pool_target={_WARM_POOL_TARGET} ==="
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)
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print(" (real solves + proxy spend; warming up...)\n")
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results: list[dict] = []
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@ -184,17 +184,25 @@ async def main() -> None:
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print("=== results ===")
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print(f" wall time = {wall:.0f}s")
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print(f" requests ok/failed = {len(results) - len(fails)}/{len(fails)}")
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print(f" SERPs got/expected = {got_serps}/{total_serps}"
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+ (f" ({len(short)} short)" if short else ""))
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print(
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f" SERPs got/expected = {got_serps}/{total_serps}"
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+ (f" ({len(short)} short)" if short else "")
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)
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print(f" throughput = {got_serps / wall * 60:.0f} SERP/min")
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print(f" request latency p50={pct(50):.0f}s p95={pct(95):.0f}s "
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f"max={lat[-1] if lat else 0:.0f}s")
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print(
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f" request latency p50={pct(50):.0f}s p95={pct(95):.0f}s "
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f"max={lat[-1] if lat else 0:.0f}s"
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)
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print(" --- pipeline (from live logs) ---")
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print(f" paid solves ok/fail = {tally.solves_ok}/{tally.solves_fail} "
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f"(bounded by pool target {_WARM_POOL_TARGET})")
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print(
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f" paid solves ok/fail = {tally.solves_ok}/{tally.solves_fail} "
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f"(bounded by pool target {_WARM_POOL_TARGET})"
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)
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print(f" renders ok/walled = {tally.renders_ok}/{tally.renders_walled}")
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print(f" pool reuse/grow = {tally.reuse}/{tally.grow} "
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f"(reuse share {100 * tally.reuse / max(1, tally.reuse + tally.grow):.0f}%)")
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print(
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f" pool reuse/grow = {tally.reuse}/{tally.grow} "
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f"(reuse share {100 * tally.reuse / max(1, tally.reuse + tally.grow):.0f}%)"
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)
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print(f" peak pool size = {tally.max_pool}")
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if fails:
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print(" --- failures ---")
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@ -58,7 +58,9 @@ class TestGlobalCatalogHasUsableChat:
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"""Usability, not file existence, is what counts."""
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def test_usable_when_enabled_connection_and_chat_model(self, monkeypatch):
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monkeypatch.setattr(mc.config, "GLOBAL_CONNECTIONS", [{"id": -1, "enabled": True}])
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monkeypatch.setattr(
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mc.config, "GLOBAL_CONNECTIONS", [{"id": -1, "enabled": True}]
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)
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monkeypatch.setattr(mc.config, "GLOBAL_MODELS", [_global_model()])
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assert mc._global_catalog_has_usable_chat() is True
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@ -68,17 +70,23 @@ class TestGlobalCatalogHasUsableChat:
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assert mc._global_catalog_has_usable_chat() is False
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def test_disabled_connection_is_not_usable(self, monkeypatch):
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monkeypatch.setattr(mc.config, "GLOBAL_CONNECTIONS", [{"id": -1, "enabled": False}])
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monkeypatch.setattr(
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mc.config, "GLOBAL_CONNECTIONS", [{"id": -1, "enabled": False}]
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)
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monkeypatch.setattr(mc.config, "GLOBAL_MODELS", [_global_model()])
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assert mc._global_catalog_has_usable_chat() is False
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def test_disabled_model_is_not_usable(self, monkeypatch):
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monkeypatch.setattr(mc.config, "GLOBAL_CONNECTIONS", [{"id": -1, "enabled": True}])
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monkeypatch.setattr(
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mc.config, "GLOBAL_CONNECTIONS", [{"id": -1, "enabled": True}]
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)
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monkeypatch.setattr(mc.config, "GLOBAL_MODELS", [_global_model(enabled=False)])
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assert mc._global_catalog_has_usable_chat() is False
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def test_non_chat_model_is_not_usable(self, monkeypatch):
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monkeypatch.setattr(mc.config, "GLOBAL_CONNECTIONS", [{"id": -1, "enabled": True}])
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monkeypatch.setattr(
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mc.config, "GLOBAL_CONNECTIONS", [{"id": -1, "enabled": True}]
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)
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monkeypatch.setattr(
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mc.config, "GLOBAL_MODELS", [_global_model(supports_chat=False)]
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)
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@ -37,7 +37,10 @@ def test_proxy_login_form_strips_scheme():
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def test_proxy_login_form_without_credentials():
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assert solvers.proxy_login_form("http://gw.dataimpulse.com:823") == "gw.dataimpulse.com:823"
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assert (
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solvers.proxy_login_form("http://gw.dataimpulse.com:823")
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== "gw.dataimpulse.com:823"
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)
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def test_proxy_login_form_none_on_missing_or_bad():
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@ -54,7 +57,10 @@ def test_capsolver_proxy_colon_delimited_with_creds():
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def test_capsolver_proxy_without_credentials():
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assert solvers.capsolver_proxy("http://gw.dataimpulse.com:823") == "http:gw.dataimpulse.com:823"
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assert (
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solvers.capsolver_proxy("http://gw.dataimpulse.com:823")
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== "http:gw.dataimpulse.com:823"
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)
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def test_capsolver_proxy_none_on_missing_or_bad():
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@ -68,14 +74,14 @@ def test_capsolver_proxy_none_on_missing_or_bad():
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def test_unsupported_provider_raises_solvererror():
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# An unconfigured provider must fail loudly (latch) rather than POST the key
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# to a wired vendor's endpoint under the wrong account.
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with pytest.raises(solvers.SolverUnsupported):
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with pytest.raises(solvers.SolverUnsupportedError):
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solvers.solve(
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_cfg(solving_site="anticaptcha"),
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challenge_type="v2",
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sitekey="SK",
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page_url="https://t.test",
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)
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assert issubclass(solvers.SolverUnsupported, solvers.SolverError)
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assert issubclass(solvers.SolverUnsupportedError, solvers.SolverError)
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def test_wired_providers_are_registered():
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@ -1,6 +1,7 @@
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// Server component
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import type React from "react";
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import { cookies } from "next/headers";
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import type React from "react";
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import { DashboardClientLayout } from "./client-layout";
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const PLAYGROUND_SIDEBAR_COLLAPSED_COOKIE = "surfsense_playground_sidebar_collapsed";
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|
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@ -34,7 +34,7 @@ export const ConnectorDialogHeader: FC<ConnectorDialogHeaderProps> = ({
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MCP Connectors
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</DialogTitle>
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<DialogDescription className="text-xs sm:text-base text-muted-foreground/80 mt-1 sm:mt-1.5">
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Connect external tools and services through MCP.
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Connect external tools and services through MCP.
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</DialogDescription>
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</DialogHeader>
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|
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|
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@ -221,9 +221,7 @@ export const DocumentNode = React.memo(function DocumentNode({
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className={cn(
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"absolute inset-0 flex items-center justify-center transition-opacity",
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canMention &&
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||||
(isMentioned
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? "opacity-0"
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: "max-sm:opacity-0 group-hover/item:opacity-0")
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(isMentioned ? "opacity-0" : "max-sm:opacity-0 group-hover/item:opacity-0")
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)}
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>
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{getDocumentTypeIcon(
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|
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@ -390,75 +390,75 @@ export const FolderNode = React.memo(function FolderNode({
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</Button>
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</DropdownMenuTrigger>
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<DropdownMenuContent align="end" className="w-40">
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{isWatched && onRescan && (
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{isWatched && onRescan && (
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<DropdownMenuItem
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onClick={(e) => {
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e.stopPropagation();
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handleRescan();
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}}
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>
|
||||
<RefreshCw className={cn("mr-2 h-4 w-4", isRescanning && "animate-spin")} />
|
||||
Re-scan
|
||||
</DropdownMenuItem>
|
||||
)}
|
||||
{isWatched && onStopWatching && (
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onStopWatching(folder);
|
||||
}}
|
||||
>
|
||||
<EyeOff className="mr-2 h-4 w-4" />
|
||||
Stop watching
|
||||
</DropdownMenuItem>
|
||||
)}
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
handleRescan();
|
||||
onCreateSubfolder(folder.id);
|
||||
}}
|
||||
>
|
||||
<RefreshCw className={cn("mr-2 h-4 w-4", isRescanning && "animate-spin")} />
|
||||
Re-scan
|
||||
<FolderPlus className="mr-2 h-4 w-4" />
|
||||
New subfolder
|
||||
</DropdownMenuItem>
|
||||
)}
|
||||
{isWatched && onStopWatching && (
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onStopWatching(folder);
|
||||
startRename();
|
||||
}}
|
||||
>
|
||||
<EyeOff className="mr-2 h-4 w-4" />
|
||||
Stop watching
|
||||
<Pencil className="mr-2 h-4 w-4" />
|
||||
Rename
|
||||
</DropdownMenuItem>
|
||||
)}
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onCreateSubfolder(folder.id);
|
||||
}}
|
||||
>
|
||||
<FolderPlus className="mr-2 h-4 w-4" />
|
||||
New subfolder
|
||||
</DropdownMenuItem>
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
startRename();
|
||||
}}
|
||||
>
|
||||
<Pencil className="mr-2 h-4 w-4" />
|
||||
Rename
|
||||
</DropdownMenuItem>
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onMove(folder);
|
||||
}}
|
||||
>
|
||||
<Move className="mr-2 h-4 w-4" />
|
||||
Move to...
|
||||
</DropdownMenuItem>
|
||||
{onExportFolder && (
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onExportFolder(folder);
|
||||
onMove(folder);
|
||||
}}
|
||||
>
|
||||
<Download className="mr-2 h-4 w-4" />
|
||||
Export folder
|
||||
<Move className="mr-2 h-4 w-4" />
|
||||
Move to...
|
||||
</DropdownMenuItem>
|
||||
{onExportFolder && (
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onExportFolder(folder);
|
||||
}}
|
||||
>
|
||||
<Download className="mr-2 h-4 w-4" />
|
||||
Export folder
|
||||
</DropdownMenuItem>
|
||||
)}
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onDelete(folder);
|
||||
}}
|
||||
>
|
||||
<Trash2 className="mr-2 h-4 w-4" />
|
||||
Delete
|
||||
</DropdownMenuItem>
|
||||
)}
|
||||
<DropdownMenuItem
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
onDelete(folder);
|
||||
}}
|
||||
>
|
||||
<Trash2 className="mr-2 h-4 w-4" />
|
||||
Delete
|
||||
</DropdownMenuItem>
|
||||
</DropdownMenuContent>
|
||||
</DropdownMenu>
|
||||
</div>
|
||||
|
|
|
|||
|
|
@ -466,8 +466,7 @@ const CATEGORIES: HeroCategory[] = [
|
|||
{
|
||||
id: "report",
|
||||
title: "AI Report Generator",
|
||||
description:
|
||||
"Turn your research into cited reports, then export to PDF or Markdown.",
|
||||
description: "Turn your research into cited reports, then export to PDF or Markdown.",
|
||||
src: `${HERO_TUTORIAL}/ReportGenGif_compressed.mp4`,
|
||||
},
|
||||
{
|
||||
|
|
@ -658,8 +657,8 @@ export function HeroSection() {
|
|||
"relative mb-8 max-w-2xl text-left text-sm text-neutral-600 antialiased sm:text-base md:text-lg dark:text-neutral-400"
|
||||
)}
|
||||
>
|
||||
SurfSense is an open-source open web research platform, like NotebookLM but with
|
||||
live data connectors. Your AI agents research the live web with structured data from
|
||||
SurfSense is an open-source open web research platform, like NotebookLM but with live
|
||||
data connectors. Your AI agents research the live web with structured data from
|
||||
Reddit, YouTube, Instagram, TikTok, Google Maps, Google Search, and any page on the
|
||||
open web.
|
||||
</p>
|
||||
|
|
|
|||
|
|
@ -81,9 +81,7 @@ export function CreateWorkspaceDialog({ open, onOpenChange }: CreateWorkspaceDia
|
|||
// which is the authoritative net regardless.
|
||||
const isInitialSetup = result.llm_setup?.stage === "initial_setup";
|
||||
router.push(
|
||||
isInitialSetup
|
||||
? `/dashboard/${result.id}/onboard`
|
||||
: `/dashboard/${result.id}/new-chat`
|
||||
isInitialSetup ? `/dashboard/${result.id}/onboard` : `/dashboard/${result.id}/new-chat`
|
||||
);
|
||||
} catch (error) {
|
||||
console.error("Failed to create workspace:", error);
|
||||
|
|
|
|||
|
|
@ -96,7 +96,7 @@ export function AgentSetupTabs({ options }: { options?: Partial<McpSnippetOption
|
|||
const snippet = client[transport];
|
||||
const config = snippet.build(resolved);
|
||||
return (
|
||||
<TabsContent key={client.id} value={client.id} className="min-w-0 space-y-3">
|
||||
<TabsContent key={client.id} value={client.id} className="min-w-0 space-y-3">
|
||||
<ol className="list-decimal space-y-1 pl-5 text-sm leading-relaxed text-muted-foreground">
|
||||
{snippet.steps.map((step) => (
|
||||
<li key={step}>{step}</li>
|
||||
|
|
|
|||
|
|
@ -45,7 +45,8 @@ export function ConnectAgentDialog({ className }: { className?: string }) {
|
|||
<DialogHeader>
|
||||
<DialogTitle>Connect to Claude Code, Codex, OpenCode…</DialogTitle>
|
||||
<DialogDescription>
|
||||
Give your coding agent access to SurfSense scrapers and your knowledge base. Create an API key under API Keys, choose your agent, then paste the config.
|
||||
Give your coding agent access to SurfSense scrapers and your knowledge base. Create an
|
||||
API key under API Keys, choose your agent, then paste the config.
|
||||
</DialogDescription>
|
||||
</DialogHeader>
|
||||
<AgentSetupTabs options={{ baseUrl: BACKEND_URL || undefined }} />
|
||||
|
|
|
|||
|
|
@ -43,10 +43,7 @@ class ModelConnectionsApiService {
|
|||
};
|
||||
|
||||
getLlmSetupStatus = async (workspaceId: number): Promise<LlmSetupStatus> => {
|
||||
return baseApiService.get(
|
||||
`/api/v1/workspaces/${workspaceId}/llm-setup-status`,
|
||||
llmSetupStatus
|
||||
);
|
||||
return baseApiService.get(`/api/v1/workspaces/${workspaceId}/llm-setup-status`, llmSetupStatus);
|
||||
};
|
||||
|
||||
getModelProviders = async (): Promise<ModelProviderRead[]> => {
|
||||
|
|
|
|||
|
|
@ -77,8 +77,7 @@ export const googleSearch: ConnectorPageContent = {
|
|||
},
|
||||
{
|
||||
label: "Related searches",
|
||||
description:
|
||||
"Suggested and related queries, to map how people actually phrase the search.",
|
||||
description: "Suggested and related queries, to map how people actually phrase the search.",
|
||||
},
|
||||
{
|
||||
label: "SERP metadata",
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue