Chris CoutinhoandClaude Opus 4.8
829625f2a2
- _search_helpers: wrap the json.loads(search.content[0].text) parse in try/except (IndexError, ValueError) so empty content / malformed JSON returns False (keep polling) instead of escaping as a confusing traceback. Also debug- log an id match with a non-note doc_type to surface schema drift instead of silently timing out. - test_astrolabe_session_jwt_search: drop _get_with_retry default to max_attempts=2 (matches the "one retry" intent) and mark both search tests @pytest.mark.timeout(300) so a cold model load + retry can't breach the 180s default pytest timeout. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
64 lines
2.4 KiB
Python
64 lines
2.4 KiB
Python
"""Shared helpers for asserting vector-sync visibility in integration tests.
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Kept dependency-light (no Playwright) so both the multi-user-basic UI tests and
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the single-user sampling tests can import it.
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"""
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import json
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import logging
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from typing import Any
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logger = logging.getLogger(__name__)
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async def document_is_searchable(
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mcp_client: Any, search_term: str, note_id: int | None = None
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) -> bool:
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"""Return True once a freshly-created document is retrievable.
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Polls ``nc_semantic_search`` (hybrid: an exact unique term reliably matches
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on the keyword side) and matches by ``note_id`` when provided, otherwise by
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the term appearing in a result's title/excerpt. Transient errors return
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False so callers can keep polling.
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"""
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try:
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search = await mcp_client.call_tool(
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"nc_semantic_search",
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# limit is generous: a fresh note can sit below seed data (e.g. deck
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# cards) in a crowded corpus, and the query is cheap.
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arguments={"query": search_term, "limit": 50, "score_threshold": 0.0},
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)
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except Exception as e: # transient transport/availability blip — keep polling
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logger.debug("Semantic search poll failed: %s", e)
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return False
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if search.isError:
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logger.debug("Semantic search poll error: %s", search)
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return False
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try:
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results = json.loads(search.content[0].text).get("results", [])
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except (IndexError, ValueError) as e: # empty content / malformed JSON
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logger.debug("Semantic search parse failed: %s", e)
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return False
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# Token match (not contiguous substring) so multi-word terms work in the
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# note_id-less fallback path.
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tokens = search_term.lower().split()
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for r in results:
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if note_id is not None:
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if r.get("id") == note_id:
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if r.get("doc_type") == "note":
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return True
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# id matched but not a note — surface possible schema drift
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# rather than silently timing out.
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logger.debug(
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"search hit id=%s has doc_type=%s (expected note)",
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note_id,
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r.get("doc_type"),
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)
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else:
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haystack = f"{r.get('title', '')} {r.get('excerpt', '')}".lower()
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if tokens and all(t in haystack for t in tokens):
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return True
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return False
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