Code review polish: - Drop the unused `name` parameter from `_flatten_property` (it was reserved for future per-property-name special-casing but never used). - Add a regression test pinning that checkbox=False and number=0 are preserved in the enriched output. The existing empty-value filter is `if value not in (None, [], "")` which keeps falsy-but-meaningful values, but the contract wasn't tested. 22/22 tests pass. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
421 lines
16 KiB
Python
421 lines
16 KiB
Python
#!/usr/bin/env python3
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"""Tests for notion_search.py — run with `python3 test_notion_search.py`."""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent))
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def _assert(cond, msg):
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if not cond:
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print(f" ✗ FAIL: {msg}")
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raise SystemExit(1)
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print(f" ✓ {msg}")
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def test_call_claude_dispatches_to_sdk_when_available():
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"""When SDK is available and ANTHROPIC_API_KEY is set, use SDK path."""
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import os
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from unittest.mock import patch
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import _search_llm
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with patch.object(_search_llm, "_have_anthropic_sdk", return_value=True), \
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patch.dict(os.environ, {"ANTHROPIC_API_KEY": "sk-fake"}), \
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patch.object(_search_llm, "_call_via_sdk", return_value="sdk-response") as sdk_mock, \
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patch.object(_search_llm, "_call_via_cli", return_value="cli-response") as cli_mock:
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result = _search_llm.call_claude("hello")
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_assert(result == "sdk-response", "SDK path returned its response")
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_assert(sdk_mock.called, "SDK path was invoked")
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_assert(not cli_mock.called, "CLI path was NOT invoked")
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def test_call_claude_falls_back_to_cli_when_no_sdk():
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"""When SDK is missing but CLI is available, use CLI path."""
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from unittest.mock import patch
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import _search_llm
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with patch.object(_search_llm, "_have_anthropic_sdk", return_value=False), \
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patch.object(_search_llm, "_have_claude_cli", return_value=True), \
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patch.object(_search_llm, "_call_via_cli", return_value="cli-response") as cli_mock:
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result = _search_llm.call_claude("hello")
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_assert(result == "cli-response", "CLI path returned its response")
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_assert(cli_mock.called, "CLI path was invoked")
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def test_call_claude_raises_when_neither_available():
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"""Both clients missing → RuntimeError with setup hint."""
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from unittest.mock import patch
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import _search_llm
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with patch.object(_search_llm, "_have_anthropic_sdk", return_value=False), \
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patch.object(_search_llm, "_have_claude_cli", return_value=False):
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try:
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_search_llm.call_claude("hello")
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_assert(False, "should have raised RuntimeError")
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except RuntimeError as exc:
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_assert("ANTHROPIC_API_KEY" in str(exc) or "claude" in str(exc).lower(),
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"error mentions setup options")
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def test_cache_miss_returns_none():
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import tempfile
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from pathlib import Path
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import _search_cache
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with tempfile.TemporaryDirectory() as tmpdir:
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result = _search_cache.cache_get("query", ["id1", "id2"], cache_dir=Path(tmpdir))
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_assert(result is None, "cache miss returns None")
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def test_cache_hit_returns_cached_results():
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import tempfile
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from pathlib import Path
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import _search_cache
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with tempfile.TemporaryDirectory() as tmpdir:
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cache_dir = Path(tmpdir)
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results = [{"id": "abc", "title": "Test"}]
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_search_cache.cache_put("query", ["id1", "id2"], results, cache_dir=cache_dir)
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hit = _search_cache.cache_get("query", ["id1", "id2"], cache_dir=cache_dir)
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_assert(hit == results, "cache hit returns the stored results")
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def test_cache_miss_on_different_candidates():
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import tempfile
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from pathlib import Path
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import _search_cache
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with tempfile.TemporaryDirectory() as tmpdir:
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cache_dir = Path(tmpdir)
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_search_cache.cache_put("query", ["id1", "id2"], [{"x": 1}], cache_dir=cache_dir)
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miss = _search_cache.cache_get("query", ["id1", "id3"], cache_dir=cache_dir)
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_assert(miss is None, "different candidate set hashes to different key")
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def test_cache_miss_after_ttl_expires():
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import tempfile
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from pathlib import Path
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import _search_cache
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with tempfile.TemporaryDirectory() as tmpdir:
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cache_dir = Path(tmpdir)
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_search_cache.cache_put("query", ["id1"], [{"x": 1}], cache_dir=cache_dir)
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# TTL=0 means immediately expired
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miss = _search_cache.cache_get("query", ["id1"], cache_dir=cache_dir, ttl_seconds=0)
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_assert(miss is None, "expired cache returns None")
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def test_cache_handles_corrupted_file():
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import tempfile
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import hashlib
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from pathlib import Path
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import _search_cache
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with tempfile.TemporaryDirectory() as tmpdir:
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cache_dir = Path(tmpdir)
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cache_dir.mkdir(exist_ok=True)
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# Write garbage to the expected key path
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key = hashlib.sha256("query|id1".encode()).hexdigest()
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(cache_dir / f"{key}.json").write_text("not json {{{")
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result = _search_cache.cache_get("query", ["id1"], cache_dir=cache_dir)
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_assert(result is None, "corrupted cache file returns None")
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def test_expand_query_returns_variants_with_original_first():
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"""LLM mock returns variants; expansion includes original verbatim as first item."""
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import notion_search
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fake_llm = lambda prompt, **kw: '["AI agents", "multi-agent systems", "autonomous LLMs"]'
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variants = notion_search.expand_query("AI agents", llm_caller=fake_llm)
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_assert(variants[0] == "AI agents", "original query is first variant")
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_assert(len(variants) >= 2, "at least 2 variants returned")
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_assert("multi-agent systems" in variants, "LLM-suggested variant included")
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def test_expand_query_dedupes_and_caps():
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"""Duplicates removed; total ≤ max_variants."""
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import notion_search
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fake_llm = lambda prompt, **kw: '["AI", "AI", "agents", "agents", "systems", "tools", "models"]'
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variants = notion_search.expand_query("AI", llm_caller=fake_llm, max_variants=3)
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_assert(len(variants) <= 3, "capped at max_variants=3")
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_assert(len(variants) == len(set(variants)), "no duplicates in result")
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def test_expand_query_falls_back_on_invalid_json():
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"""LLM returns prose instead of JSON → fall back to [original]."""
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import notion_search
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fake_llm = lambda prompt, **kw: "I'm sorry, I can't help with that."
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variants = notion_search.expand_query("AI agents", llm_caller=fake_llm)
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_assert(variants == ["AI agents"], "non-JSON response falls back to original only")
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def test_expand_query_falls_back_on_llm_exception():
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"""LLM raises → fall back to [original]."""
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import notion_search
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def boom(prompt, **kw):
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raise RuntimeError("API error")
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variants = notion_search.expand_query("AI agents", llm_caller=boom)
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_assert(variants == ["AI agents"], "LLM exception falls back to original only")
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def test_search_unions_and_dedupes_workspace():
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"""Two variants returning overlapping pages produce a deduped candidate set."""
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from unittest.mock import MagicMock
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import notion_search
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notion = MagicMock()
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notion.search.side_effect = [
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{"results": [
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{"id": "page-a", "object": "page", "url": "https://notion.so/a"},
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{"id": "page-b", "object": "page", "url": "https://notion.so/b"},
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]},
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{"results": [
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{"id": "page-b", "object": "page", "url": "https://notion.so/b"},
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{"id": "page-c", "object": "page", "url": "https://notion.so/c"},
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]},
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]
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candidates = notion_search.search_candidates(
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notion, ["query1", "query2"], databases=None
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)
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ids = [c["id"] for c in candidates]
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_assert(set(ids) == {"page-a", "page-b", "page-c"}, "union of pages from both variants")
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_assert(len(ids) == 3, "duplicate page-b deduped")
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def test_search_caps_candidates_at_30():
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"""If total candidates exceed 30, cap to 30."""
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from unittest.mock import MagicMock
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import notion_search
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notion = MagicMock()
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notion.search.return_value = {
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"results": [
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{"id": f"page-{i:02d}", "object": "page", "url": f"https://notion.so/{i}"}
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for i in range(40)
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]
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}
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candidates = notion_search.search_candidates(notion, ["query"], databases=None)
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_assert(len(candidates) == 30, f"capped to 30 (got {len(candidates)})")
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def test_search_uses_data_source_query_when_databases_specified():
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"""--databases flag → per-DB data_sources.query instead of workspace search."""
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from unittest.mock import MagicMock, patch
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import notion_search
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notion = MagicMock()
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notion.data_sources.query.return_value = {
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"results": [{"id": "page-a", "url": "https://notion.so/a"}]
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}
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with patch("notion_search.compat.resolve_data_source_id",
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side_effect=lambda c, ds: ds):
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candidates = notion_search.search_candidates(
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notion, ["query"], databases=["db-id-1"]
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)
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_assert(notion.data_sources.query.called, "data_sources.query was called")
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_assert(not notion.search.called, "workspace search NOT called when databases specified")
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_assert(len(candidates) == 1, "candidate from data source returned")
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def test_search_filters_only_pages():
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"""search() may return databases too; we keep only object='page'."""
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from unittest.mock import MagicMock
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import notion_search
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notion = MagicMock()
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notion.search.return_value = {"results": [
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{"id": "page-a", "object": "page", "url": "https://notion.so/a"},
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{"id": "db-1", "object": "database", "url": "https://notion.so/db1"},
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]}
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candidates = notion_search.search_candidates(notion, ["query"], databases=None)
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ids = [c["id"] for c in candidates]
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_assert("page-a" in ids, "page kept")
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_assert("db-1" not in ids, "database object filtered out")
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def test_search_passes_property_filter_to_data_sources_query():
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"""--filter JSON is passed through to data_sources.query as the `filter` parameter."""
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from unittest.mock import MagicMock, patch
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import notion_search
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notion = MagicMock()
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notion.data_sources.query.return_value = {"results": []}
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prop_filter = {"property": "Status", "status": {"equals": "Done"}}
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with patch("notion_search.compat.resolve_data_source_id",
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side_effect=lambda c, ds: ds):
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notion_search.search_candidates(
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notion, ["query"], databases=["db-id-1"], prop_filter=prop_filter,
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)
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_assert(notion.data_sources.query.called, "data_sources.query was called")
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call_kwargs = notion.data_sources.query.call_args.kwargs
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_assert(call_kwargs.get("filter") == prop_filter,
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"prop_filter passed through as `filter` keyword argument")
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def test_enrich_extracts_title_and_properties():
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"""Candidate with properties → title and properties extracted."""
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from unittest.mock import MagicMock
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import notion_search
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notion = MagicMock()
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notion.blocks.children.list.return_value = {"results": []} # no body
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candidate = {
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"id": "page-a",
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"url": "https://notion.so/a",
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"properties": {
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"Name": {
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"type": "title",
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"title": [{"plain_text": "Test Page"}],
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},
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"Status": {
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"type": "status",
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"status": {"name": "Done"},
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},
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"Topic": {
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"type": "multi_select",
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"multi_select": [{"name": "AI"}, {"name": "MCP"}],
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},
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},
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}
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enriched = notion_search.enrich_candidates(notion, [candidate])
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_assert(len(enriched) == 1, "one enriched candidate")
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e = enriched[0]
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_assert(e["title"] == "Test Page", "title extracted from title property")
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_assert(e["properties"]["Status"] == "Done", "status flattened to name")
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_assert(e["properties"]["Topic"] == ["AI", "MCP"], "multi_select flattened to names list")
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def test_enrich_extracts_first_paragraph_excerpt():
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"""First paragraph block → excerpt (200-char max)."""
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from unittest.mock import MagicMock
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import notion_search
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notion = MagicMock()
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notion.blocks.children.list.return_value = {
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"results": [
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{
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"type": "paragraph",
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"paragraph": {
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"rich_text": [{"plain_text": "This is the first paragraph of the page."}]
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},
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}
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]
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}
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candidate = {
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"id": "page-a", "url": "https://notion.so/a",
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"properties": {"Name": {"type": "title", "title": [{"plain_text": "Test"}]}},
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}
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enriched = notion_search.enrich_candidates(notion, [candidate])
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_assert(enriched[0]["excerpt"] == "This is the first paragraph of the page.",
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"excerpt is first paragraph plain text")
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def test_enrich_falls_back_to_empty_excerpt():
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"""Page leads with image/table only → excerpt is empty string, no crash."""
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from unittest.mock import MagicMock
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import notion_search
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notion = MagicMock()
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notion.blocks.children.list.return_value = {
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"results": [
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{"type": "image", "image": {}},
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{"type": "divider", "divider": {}},
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]
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}
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candidate = {
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"id": "page-a", "url": "https://notion.so/a",
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"properties": {"Name": {"type": "title", "title": [{"plain_text": "Test"}]}},
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}
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enriched = notion_search.enrich_candidates(notion, [candidate])
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_assert(enriched[0]["excerpt"] == "", "empty excerpt when no text-bearing block")
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def test_enrich_truncates_long_excerpt():
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"""Excerpt is capped at 200 chars."""
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from unittest.mock import MagicMock
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import notion_search
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notion = MagicMock()
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long_text = "x" * 500
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notion.blocks.children.list.return_value = {
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"results": [
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{"type": "paragraph", "paragraph": {"rich_text": [{"plain_text": long_text}]}}
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]
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}
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candidate = {
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"id": "page-a", "url": "https://notion.so/a",
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"properties": {"Name": {"type": "title", "title": [{"plain_text": "Test"}]}},
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}
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enriched = notion_search.enrich_candidates(notion, [candidate])
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_assert(len(enriched[0]["excerpt"]) == 200, "excerpt truncated to 200 chars")
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def test_enrich_keeps_falsy_but_meaningful_values():
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"""checkbox=False and number=0 are meaningful, not 'empty' — must survive the filter."""
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from unittest.mock import MagicMock
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import notion_search
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notion = MagicMock()
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notion.blocks.children.list.return_value = {"results": []}
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candidate = {
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"id": "page-a", "url": "https://notion.so/a",
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"properties": {
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"Name": {"type": "title", "title": [{"plain_text": "Test"}]},
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"Active": {"type": "checkbox", "checkbox": False},
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"Score": {"type": "number", "number": 0},
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},
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}
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enriched = notion_search.enrich_candidates(notion, [candidate])
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_assert(enriched[0]["properties"].get("Active") is False,
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"checkbox=False kept (not filtered as 'empty')")
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_assert(enriched[0]["properties"].get("Score") == 0,
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"number=0 kept (not filtered as 'empty')")
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def run_all():
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tests = [
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test_call_claude_dispatches_to_sdk_when_available,
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test_call_claude_falls_back_to_cli_when_no_sdk,
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test_call_claude_raises_when_neither_available,
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test_cache_miss_returns_none,
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test_cache_hit_returns_cached_results,
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test_cache_miss_on_different_candidates,
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test_cache_miss_after_ttl_expires,
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test_cache_handles_corrupted_file,
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test_expand_query_returns_variants_with_original_first,
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test_expand_query_dedupes_and_caps,
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test_expand_query_falls_back_on_invalid_json,
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test_expand_query_falls_back_on_llm_exception,
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test_search_unions_and_dedupes_workspace,
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test_search_caps_candidates_at_30,
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test_search_uses_data_source_query_when_databases_specified,
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test_search_filters_only_pages,
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test_search_passes_property_filter_to_data_sources_query,
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test_enrich_extracts_title_and_properties,
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test_enrich_extracts_first_paragraph_excerpt,
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test_enrich_falls_back_to_empty_excerpt,
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test_enrich_truncates_long_excerpt,
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test_enrich_keeps_falsy_but_meaningful_values,
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]
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for t in tests:
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print(f"\n{t.__name__}")
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t()
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print("\n" + "=" * 50)
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print(f"✅ All {len(tests)} tests passed")
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print("=" * 50)
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if __name__ == "__main__":
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run_all()
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