fix(retrieval): scope the rule search before ranking it - an in-scope rule is no longer lost behind other owners' nearer rules (#4958)
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Ordered straight off rule_embeddings, the planner walked the HNSW index, which returns about hnsw.ef_search (40) nearest chunks across every owner and project and filters by home only afterwards. A reader's own rule ranked past the 40th chunk overall was silently dropped - on a shared install, other users' rules fill those 40. This is the likely cause of the intermittent test_integration_rule_scope failures, whose axis-vector fixtures sit far from every real embedding in the graph. The in-scope chunks now go through a MATERIALIZED CTE, which the index cannot order, so the ranking over them is exact. A rulebook is hundreds of chunks; exact is cheap. New test: 80 nearer rules belonging to someone else no longer hide the reader's one rule. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -115,3 +115,64 @@ async def test_a_shared_project_brings_its_rules_to_a_collaborator(homes):
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collaborator = homes["collaborator"]
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assert await _found(collaborator, project_id=homes["a"]) == {homes["on_a"]}
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assert await _found(collaborator, project_id=homes["b"]) == set()
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async def test_an_in_scope_rule_is_found_however_many_closer_rules_are_out_of_scope():
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"""#4958. Ordered through the HNSW index, the search took the ~40 nearest
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chunks from every owner and filtered them AFTERWARDS — so a reader's own
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rule ranked past the 40th chunk overall was never returned. Here another
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user's 80 rules all sit nearer the query than the reader's one rule; the
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reader's search must still find it."""
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tag = uuid.uuid4().hex[:8]
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async with async_session() as s:
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reader = await ensure_user(s, f"rule_scope_reader_{tag}")
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crowd = await ensure_user(s, f"rule_scope_crowd_{tag}")
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await s.commit()
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reader_id, crowd_id = reader.id, crowd.id
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def near(i: int) -> list[float]:
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# Cosine ~0.9996 to the query, each distinct so the graph is a graph.
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vec = [1.0] + [0.0] * (EMBEDDING_DIM - 1)
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vec[1 + i] = 0.02
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return vec
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mine_vec = [0.8, 0.6] + [0.0] * (EMBEDDING_DIM - 2) # cosine 0.8
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books = []
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try:
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with patch("scribe.services.rulebooks._refresh_rule_embedding", MagicMock()):
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book = await rulebooks_svc.create_rulebook(reader_id, "Reader's rules")
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books.append((book.id, reader_id))
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topic = await rulebooks_svc.create_topic(book.id, reader_id, "mine")
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mine = await rulebooks_svc.create_rule(
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topic.id, reader_id, "The reader's own rule", "Mine.", when_to_apply="always",
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)
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crowd_book = await rulebooks_svc.create_rulebook(crowd_id, "Someone else's rules")
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books.append((crowd_book.id, crowd_id))
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crowd_topic = await rulebooks_svc.create_topic(crowd_book.id, crowd_id, "theirs")
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theirs = [
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await rulebooks_svc.create_rule(
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crowd_topic.id, crowd_id, f"Crowd rule {i}", "Not the reader's.",
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when_to_apply="always",
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)
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for i in range(80)
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]
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async with async_session() as s:
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s.add(RuleEmbedding(
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rule_id=mine.id, chunk_index=0, embedding=mine_vec, chunk_text=mine.title,
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chunker_version=CHUNKER_VERSION, embedding_model=EMBEDDING_MODEL,
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))
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for i, rule in enumerate(theirs):
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s.add(RuleEmbedding(
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rule_id=rule.id, chunk_index=0, embedding=near(i), chunk_text=rule.title,
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chunker_version=CHUNKER_VERSION, embedding_model=EMBEDDING_MODEL,
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))
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await s.commit()
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assert await _found(reader_id) == {mine.id}
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# And the crowd still finds its own, not the reader's.
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found = await _found(crowd_id)
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assert mine.id not in found and len(found) == 10
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finally:
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# These vectors sit right beside the query every other test here uses.
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for book_id, owner in books:
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await rulebooks_svc.delete_rulebook(book_id, owner)
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