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395 lines
14 KiB
Python
395 lines
14 KiB
Python
"""Tests for credential leak fixes that address findings from the PR #4452 audit.
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Covers:
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- PubMed engine: 5 ``logger.exception()`` calls replaced with dual-scrub
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- Base class ``run()``: unredacted ``error_message`` persisted to database
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- LLM config ``_log_llm_error``: ``logger.exception()`` replaced with ``logger.warning``
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- Google PSE ``_validate_connection``: bare re-raise replaced with sanitized exception
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- OpenAI compat errors: ``{exc!s}`` replaced with ``sanitize_error_message``
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"""
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import base64
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from unittest.mock import Mock, patch
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from urllib.parse import quote, quote_plus
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import pytest
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import requests
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_LEAKED_KEY = "sk-leaked-sentinel-DO-NOT-APPEAR-12345"
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def _all_encodings_of(secret: str) -> list:
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return [
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secret,
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quote(secret, safe=""),
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quote_plus(secret),
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repr(secret)[1:-1],
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base64.b64encode(secret.encode()).decode(),
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secret[:8],
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]
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def _stub_rate_tracker() -> Mock:
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tracker = Mock()
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tracker.enabled = False
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tracker.apply_rate_limit.return_value = 0
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return tracker
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# ── PubMed engine tests ──────────────────────────────────────────────
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def _pubmed_engine():
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"""Build a minimal PubMedSearchEngine for testing."""
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from local_deep_research.web_search_engines.engines import (
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search_engine_pubmed as mod,
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)
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engine = mod.PubMedSearchEngine.__new__(mod.PubMedSearchEngine)
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engine.api_key = _LEAKED_KEY
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engine.engine_type = "test_engine"
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engine.rate_tracker = _stub_rate_tracker()
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engine.summary_url = (
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"https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi"
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)
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engine.fetch_url = (
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"https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi"
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)
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engine.link_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi"
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engine.get_full_text = True
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return mod, engine
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@pytest.mark.parametrize(
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"method_name,url_path,marker",
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[
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(
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"_get_article_summaries",
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"/esummary.fcgi?api_key=",
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"Error getting article summaries",
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),
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(
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"_get_article_abstracts",
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"/efetch.fcgi?api_key=",
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"Error getting article abstracts",
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),
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(
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"_get_article_detailed_metadata",
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"/efetch.fcgi?api_key=",
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"Error getting detailed article metadata",
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),
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(
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"_find_pmc_ids",
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"/elink.fcgi?api_key=",
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"Error finding PMC IDs",
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),
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(
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"_get_pmc_full_text",
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"/efetch.fcgi?api_key=",
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"Error getting PMC full text",
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),
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],
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)
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class TestPubMedEngineKeyLeakage:
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def test_no_leak_in_catch_block(
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self, loguru_caplog_full, method_name, url_path, marker
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):
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"""Each PubMed method must scrub the API key before logging."""
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mod, engine = _pubmed_engine()
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exc = requests.exceptions.ConnectionError(
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f"HTTPSConnectionPool: Max retries exceeded with url: "
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f"{url_path}{_LEAKED_KEY}&id=12345"
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)
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with loguru_caplog_full.at_level("DEBUG"):
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with patch.object(mod, "safe_get", side_effect=exc):
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try:
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method = getattr(engine, method_name)
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if method_name == "_get_article_summaries":
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method(["12345"])
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elif method_name == "_find_pmc_ids":
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method(["12345"])
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elif method_name == "_get_pmc_full_text":
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method("PMC12345")
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else:
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method(["12345"])
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except requests.exceptions.RequestException:
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pass
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for encoding in _all_encodings_of(_LEAKED_KEY):
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assert encoding not in loguru_caplog_full.text, (
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f"{method_name}: api_key leaked as encoding {encoding!r}"
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)
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assert marker in loguru_caplog_full.text, (
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f"{method_name}: catch-block marker {marker!r} not in logs — "
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f"the redaction path may not have run. "
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f"Captured: {loguru_caplog_full.text!r}"
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)
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# ── Base class database persistence tests ────────────────────────────
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class TestBaseClassDatabasePersistence:
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def test_error_message_sanitized_before_db_persist(self, loguru_caplog):
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"""The ``error_message`` passed to ``SearchTracker.record_search``
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must be sanitized so credentials don't persist to the database."""
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from local_deep_research.web_search_engines.search_engine_base import (
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BaseSearchEngine,
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)
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from local_deep_research.metrics.search_tracker import SearchTracker
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class _TestEngine(BaseSearchEngine):
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engine_type = "test_engine"
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api_key = _LEAKED_KEY
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def _get_previews(self, query, *args, **kwargs):
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raise requests.exceptions.ConnectionError(
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f"HTTPSConnectionPool: url: /search?api_key={_LEAKED_KEY}"
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)
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engine = _TestEngine.__new__(_TestEngine)
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engine.api_key = _LEAKED_KEY
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engine.engine_type = "test_engine"
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engine.rate_tracker = _stub_rate_tracker()
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engine.programmatic_mode = False
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# __init__ always sets this (settings_snapshot or {}); run() and the
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# egress-verification path read it. Bypassing __init__ via __new__
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# omits it, which AttributeErrors only when a sibling test arms the
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# global egress audit net — a parallel-run flake. Set it explicitly.
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engine.settings_snapshot = {}
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captured = {}
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def _capture_record(**kwargs):
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captured["error_message"] = kwargs.get("error_message")
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with loguru_caplog.at_level("DEBUG"):
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with (
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patch.object(
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SearchTracker, "record_search", side_effect=_capture_record
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),
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patch(
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"local_deep_research.web_search_engines.search_engine_base.set_search_context"
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),
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):
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engine.run("test query")
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assert "error_message" in captured, "record_search was never called"
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for encoding in _all_encodings_of(_LEAKED_KEY):
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assert encoding not in captured["error_message"], (
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f"api_key leaked into DB error_message as {encoding!r}: "
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f"{captured['error_message']!r}"
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)
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def test_log_path_sanitizes_foreign_url_credentials(self, loguru_caplog):
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"""The logged ``safe_msg`` in run() must run the regex sanitizer,
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not just literal redaction.
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Regression guard: a *foreign* credential (not the engine's own
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api_key) embedded as ``https://user:pass@host`` is only caught by
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sanitize_error_message's regex, not by redact_secrets(literal). The
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log path previously used redact_secrets alone, so it leaked into the
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log even though the DB path was dual-scrubbed.
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"""
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from local_deep_research.web_search_engines.search_engine_base import (
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BaseSearchEngine,
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)
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from local_deep_research.metrics.search_tracker import SearchTracker
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foreign_secret = "hunter2-foreign-pw-DO-NOT-APPEAR"
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class _TestEngine(BaseSearchEngine):
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engine_type = "test_engine"
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api_key = "the-engines-own-key-unrelated"
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def _get_previews(self, query, *args, **kwargs):
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raise requests.exceptions.ConnectionError(
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f"connect failed: https://admin:{foreign_secret}@es.local/_search"
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)
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engine = _TestEngine.__new__(_TestEngine)
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engine.api_key = "the-engines-own-key-unrelated"
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engine.engine_type = "test_engine"
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engine.rate_tracker = _stub_rate_tracker()
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engine.programmatic_mode = False
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engine.settings_snapshot = {}
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with loguru_caplog.at_level("DEBUG"):
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with (
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patch.object(SearchTracker, "record_search"),
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patch(
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"local_deep_research.web_search_engines.search_engine_base.set_search_context"
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),
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):
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engine.run("test query")
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assert foreign_secret not in loguru_caplog.text, (
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f"foreign URL credential leaked into log: {loguru_caplog.text!r}"
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)
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# ── LLM config _log_llm_error tests ─────────────────────────────────
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class TestLLMConfigLogError:
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def test_no_leak_with_url_in_exception(self, loguru_caplog_full):
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"""``_log_llm_error`` must not leak credentials from the exception."""
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from local_deep_research.config.llm_config import _log_llm_error
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exc = RuntimeError(
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f"Connection to https://api.openai.com/v1?key={_LEAKED_KEY} failed"
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)
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with loguru_caplog_full.at_level("DEBUG"):
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_log_llm_error(exc)
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for encoding in _all_encodings_of(_LEAKED_KEY):
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assert encoding not in loguru_caplog_full.text, (
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f"_log_llm_error leaked key as {encoding!r}"
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)
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def test_uses_warning_not_exception(self, loguru_caplog):
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"""``_log_llm_error`` should use ``logger.warning``, not
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``logger.exception``, to avoid writing the traceback chain."""
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from local_deep_research.config.llm_config import _log_llm_error
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exc = RuntimeError("test error")
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with loguru_caplog.at_level("DEBUG"):
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_log_llm_error(exc)
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assert "LLM Request - Failed with error" in loguru_caplog.text
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assert "Traceback" not in loguru_caplog.text
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# ── Google PSE _validate_connection tests ────────────────────────────
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class TestGooglePSEValidateConnection:
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def test_rethrown_exception_is_sanitized(self):
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"""The re-thrown exception from ``_validate_connection`` must not
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contain the API key in its string representation."""
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from local_deep_research.web_search_engines.engines import (
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search_engine_google_pse as mod,
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)
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engine = mod.GooglePSESearchEngine.__new__(mod.GooglePSESearchEngine)
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engine.api_key = _LEAKED_KEY
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exc = requests.exceptions.ConnectionError(
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f"HTTPSConnectionPool: url: /v1?key={_LEAKED_KEY}"
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)
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engine._make_request = Mock(side_effect=exc)
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caught = None
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try:
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engine._validate_connection()
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except Exception as e:
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caught = e
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assert caught is not None
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for encoding in _all_encodings_of(_LEAKED_KEY):
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assert encoding not in str(caught), (
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f"Re-thrown exception leaks key as {encoding!r}: {str(caught)!r}"
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)
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def test_exception_chain_suppressed(self):
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"""``from None`` should suppress the original exception chain."""
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from local_deep_research.web_search_engines.engines import (
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search_engine_google_pse as mod,
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)
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engine = mod.GooglePSESearchEngine.__new__(mod.GooglePSESearchEngine)
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engine.api_key = _LEAKED_KEY
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exc = ValueError("original")
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engine._make_request = Mock(side_effect=exc)
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caught = None
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try:
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engine._validate_connection()
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except Exception as e:
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caught = e
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assert caught is not None
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assert caught.__cause__ is None
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def test_log_output_sanitized(self, loguru_caplog_full):
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"""The warning log from ``_validate_connection`` must not leak."""
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from local_deep_research.web_search_engines.engines import (
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search_engine_google_pse as mod,
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)
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engine = mod.GooglePSESearchEngine.__new__(mod.GooglePSESearchEngine)
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engine.api_key = _LEAKED_KEY
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exc = requests.exceptions.ConnectionError(
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f"HTTPSConnectionPool: url: /v1?key={_LEAKED_KEY}"
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)
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engine._make_request = Mock(side_effect=exc)
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with loguru_caplog_full.at_level("DEBUG"):
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try:
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engine._validate_connection()
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except Exception:
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pass
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for encoding in _all_encodings_of(_LEAKED_KEY):
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assert encoding not in loguru_caplog_full.text, (
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f"_validate_connection log leaked key as {encoding!r}"
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)
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# ── OpenAI compat errors tests ───────────────────────────────────────
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class TestOpenAICompatErrorDetails:
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def test_details_with_url_key_redacted(self):
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"""The ``Details:`` suffix must not contain URL query credentials."""
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from local_deep_research.error_handling.openai_compat_errors import (
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friendly_openai_compatible_error,
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)
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exc = RuntimeError(
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f"Connection to https://api.host/v1?key={_LEAKED_KEY} failed"
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)
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result = friendly_openai_compatible_error(
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exc, provider="test", base_url="https://api.host/v1", model="gpt-4"
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)
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for encoding in _all_encodings_of(_LEAKED_KEY):
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assert encoding not in result, (
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f"Details leaked key as {encoding!r}: {result!r}"
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)
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def test_details_with_bearer_redacted(self):
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"""Bearer tokens must be scrubbed from the Details suffix."""
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from local_deep_research.error_handling.openai_compat_errors import (
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friendly_openai_compatible_error,
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)
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exc = RuntimeError(f"Bearer {_LEAKED_KEY} rejected")
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result = friendly_openai_compatible_error(
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exc, provider="test", base_url="https://api.host/v1", model="gpt-4"
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)
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for encoding in _all_encodings_of(_LEAKED_KEY):
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assert encoding not in result
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def test_no_secrets_preserves_details(self):
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"""Non-sensitive details should be preserved."""
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from local_deep_research.error_handling.openai_compat_errors import (
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friendly_openai_compatible_error,
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)
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exc = RuntimeError("connection refused on port 443")
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result = friendly_openai_compatible_error(
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exc, provider="test", base_url="https://api.host/v1", model="gpt-4"
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)
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assert "connection refused on port 443" in result
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