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159 lines
6.2 KiB
Python
159 lines
6.2 KiB
Python
"""DuckDuckGo search — plugin form (via the ``ddgs`` package).
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Subclasses the plugin-facing :class:`agent.web_search_provider.WebSearchProvider`.
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The legacy in-tree module ``tools.web_providers.ddgs`` was removed in the
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same commit that moved this code under ``plugins/``; this file is now the
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canonical implementation.
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The ``ddgs`` package is an optional dependency. ``is_available()`` reflects
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whether the package is importable; the plugin still registers either way so
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``hermes tools`` can prompt the user to install it.
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"""
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from __future__ import annotations
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import concurrent.futures as _cf
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import logging
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from typing import Any, Dict
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from agent.web_search_provider import WebSearchProvider
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logger = logging.getLogger(__name__)
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# Overall wall-clock cap for a single ddgs search. The DDGS constructor's
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# ``timeout`` only bounds individual HTTP requests; ddgs's multi-engine retry
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# loop has no overall cap, so a slow/rate-limited DuckDuckGo response can hang
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# the (single, shared) agent loop indefinitely and block every platform
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# (#36776). Enforce a hard cap here via a worker thread.
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_SEARCH_TIMEOUT_SECS = 30
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def _run_ddgs_search(query: str, safe_limit: int) -> list[dict[str, Any]]:
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"""Run the blocking ddgs query and return normalized hits.
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Module-level (not a closure) so tests can patch it directly without
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spawning a real multi-second worker thread. ``DDGS(timeout=...)`` bounds
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each individual HTTP request; the overall wall-clock cap is enforced by
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the caller via a future timeout.
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"""
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from ddgs import DDGS # type: ignore
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results: list[dict[str, Any]] = []
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with DDGS(timeout=10) as client:
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for i, hit in enumerate(client.text(query, max_results=safe_limit)):
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if i >= safe_limit:
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break
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url = str(hit.get("href") or hit.get("url") or "")
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results.append(
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{
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"title": str(hit.get("title", "")),
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"url": url,
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"description": str(hit.get("body", "")),
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"position": i + 1,
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}
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)
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return results
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class DDGSWebSearchProvider(WebSearchProvider):
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"""DuckDuckGo HTML-scrape search provider.
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No API key needed. Rate limits are enforced server-side by DuckDuckGo;
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the provider surfaces ``DuckDuckGoSearchException`` and other ddgs errors
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as ``{"success": False, "error": ...}`` rather than raising.
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"""
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@property
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def name(self) -> str:
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return "ddgs"
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@property
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def display_name(self) -> str:
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return "DuckDuckGo (ddgs)"
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def is_available(self) -> bool:
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"""Return True when the ``ddgs`` package is importable.
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Probes the import once; cheap because Python caches the import. Must
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NOT perform network I/O — runs at tool-registration time and on every
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``hermes tools`` paint.
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"""
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try:
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import ddgs # noqa: F401
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return True
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except ImportError:
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return False
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def supports_search(self) -> bool:
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return True
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def supports_extract(self) -> bool:
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return False
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def search(self, query: str, limit: int = 5) -> Dict[str, Any]:
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"""Execute a DuckDuckGo search and return normalized results.
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The synchronous ``ddgs`` call is run in a worker thread with a hard
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wall-clock timeout (``_SEARCH_TIMEOUT_SECS``) so a hung search cannot
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block the shared agent loop indefinitely (#36776).
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"""
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try:
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import ddgs # type: ignore # noqa: F401 — availability probe
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except ImportError:
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return {
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"success": False,
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"error": "ddgs package is not installed — run `pip install ddgs`",
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}
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# DDGS().text yields at most `max_results` items; we cap defensively
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# in case the package ignores the hint.
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safe_limit = max(1, int(limit))
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# A fresh single-worker pool per call (rather than a module-level one)
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# is intentional: on timeout the blocking ddgs call cannot be cancelled
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# and keeps running, so a shared pool would serialise every later search
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# behind that hung worker. A per-call pool isolates each search from a
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# previously-hung one.
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pool = _cf.ThreadPoolExecutor(max_workers=1)
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try:
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future = pool.submit(_run_ddgs_search, query, safe_limit)
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try:
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web_results = future.result(timeout=_SEARCH_TIMEOUT_SECS)
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except _cf.TimeoutError:
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logger.warning(
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"DDGS search timed out after %ds for query: %r",
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_SEARCH_TIMEOUT_SECS, query,
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)
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return {
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"success": False,
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"error": (
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f"DuckDuckGo search timed out after {_SEARCH_TIMEOUT_SECS}s — "
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"DuckDuckGo may be rate-limiting or slow. Try again later "
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"or switch to a different search provider."
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),
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}
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except Exception as exc: # noqa: BLE001 — ddgs raises its own exceptions
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logger.warning("DDGS search error: %s", exc)
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return {"success": False, "error": f"DuckDuckGo search failed: {exc}"}
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finally:
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# Return immediately without joining the worker. On timeout the
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# already-running ddgs call can't be cancelled (cancel_futures only
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# affects not-yet-started work), so the worker runs to completion
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# on its own; it writes nothing shared, so leaking it is safe.
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pool.shutdown(wait=False, cancel_futures=True)
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logger.info("DDGS search '%s': %d results (limit %d)", query, len(web_results), limit)
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return {"success": True, "data": {"web": web_results}}
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def get_setup_schema(self) -> Dict[str, Any]:
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return {
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"name": "DuckDuckGo (ddgs)",
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"badge": "free · no key · search only",
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"tag": "Search via the ddgs Python package — no API key (pair with any extract provider)",
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"env_vars": [],
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# Trigger `_run_post_setup("ddgs")` after the user picks this row
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# so the ddgs Python package gets pip-installed on first selection.
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"post_setup": "ddgs",
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}
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