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Ordered straight off a *_embeddings table, the planner walks the HNSW index, takes ~ef_search (40) nearest chunks across every owner and project, and only then applies the scope: an in-scope record behind 40 nearer ones the caller cannot see was silently dropped. #4958 fixed the rule search alone; the note, milestone and system searches kept the fault. _scoped_chunks builds the in-scope chunks with their distance; _rank_scoped materializes them as a CTE and ranks exactly. All four searches go through it, and the row shape is unchanged, so callers and mocks are untouched. Tests: a structural guard that every semantic_search_* ranks through _rank_scoped and orders nothing itself (with a replay of the old shape), a compiled-SQL check of the MATERIALIZED CTE, and integration crowd tests - 80 nearer out-of-scope records - for notes (another user; the reader own other project), milestones and systems. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
190 lines
8.5 KiB
Python
190 lines
8.5 KiB
Python
"""Real-Postgres crowd tests: an in-scope record is found however many nearer
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records sit outside the scope (#4961; the rule search's is #4958's, in
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test_integration_rule_scope).
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Ordered straight off a `*_embeddings` table, the planner can walk the HNSW
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index, which takes ~`hnsw.ef_search` (40) nearest chunks from every owner and
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project and only then applies the scope. Each test here puts 80 out-of-scope
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records nearer the query than the reader's one in-scope record, so the old
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shape could not reach it when the index served the order. What a test cannot
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force is the plan — the shape guard in test_search_scope_shape is what fails
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on the old query whatever Postgres picks.
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Rows are inserted directly with hand-made vectors and the embedder is stubbed,
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so the scope alone decides what comes back.
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"""
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import traceback
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import uuid
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from unittest.mock import AsyncMock, patch
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import pytest
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from sqlalchemy import delete
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from scribe.models import async_session
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from scribe.models.embedding import (
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EMBEDDING_DIM, MilestoneEmbedding, NoteEmbedding, SystemEmbedding,
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)
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from scribe.models.milestone import Milestone
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from scribe.models.note import Note
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from scribe.models.project import Project
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from scribe.models.system import System
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from scribe.models.user import User
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from scribe.services import embeddings as emb
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from scribe.services.embeddings import CHUNKER_VERSION, EMBEDDING_MODEL
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from tests.helpers import ensure_user
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pytestmark = [pytest.mark.integration, pytest.mark.usefixtures("_dispose_engine", "_no_embedding")]
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CROWD = 80
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QUERY_VEC = [1.0] + [0.0] * (EMBEDDING_DIM - 1)
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# Cosine 0.8 to the query: comfortably above the bar, and behind every crowd row.
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MINE_VEC = [0.8, 0.6] + [0.0] * (EMBEDDING_DIM - 2)
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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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def _chunk(model, key: str, record_id: int, vec: list[float], **extra):
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return model(**{key: record_id}, chunk_index=0, embedding=vec,
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chunk_text=f"record {record_id}", chunker_version=CHUNKER_VERSION,
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embedding_model=EMBEDDING_MODEL, **extra)
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async def _found(search, user_id: int, **scope) -> set[int]:
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"""The ids a search finds. Every search fails open, so a query that raised
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reads as an empty result — the swallowed traceback is captured and named
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in the failure instead (#4958)."""
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raised: list[str] = []
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with patch("scribe.services.embeddings.get_embedding",
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AsyncMock(return_value=QUERY_VEC)), \
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patch("scribe.services.embeddings.logger") as log:
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log.warning.side_effect = lambda *_a, **_k: raised.append(traceback.format_exc())
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hits = await search(user_id, "anything", limit=10, threshold=0.5, **scope)
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assert not raised, "the search raised:\n" + "\n".join(raised)
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return {int(record.id) for _score, record in hits}
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async def _people(tag: str):
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"""A reader and a crowd, each with a project of their own."""
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async with async_session() as s:
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reader = await ensure_user(s, f"scope_reader_{tag}")
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crowd = await ensure_user(s, f"scope_crowd_{tag}")
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mine = Project(user_id=reader.id, title="Reader's project")
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other = Project(user_id=reader.id, title="Reader's other project")
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theirs = Project(user_id=crowd.id, title="Crowd's project")
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s.add_all([mine, other, theirs])
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await s.commit()
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return reader.id, crowd.id, mine.id, other.id, theirs.id
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async def _cleanup(*user_ids: int) -> None:
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# These vectors sit right beside the query every other vector test uses.
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async with async_session() as s:
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for model in (Note, Milestone, System):
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await s.execute(delete(model).where(model.user_id.in_(user_ids)))
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await s.execute(delete(Project).where(Project.user_id.in_(user_ids)))
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await s.execute(delete(User).where(User.id.in_(user_ids)))
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await s.commit()
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@pytest.mark.asyncio
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async def test_a_note_is_found_behind_another_users_nearer_notes():
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reader, crowd, mine_p, _other, theirs_p = await _people(uuid.uuid4().hex[:8])
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try:
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async with async_session() as s:
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mine = Note(user_id=reader, project_id=mine_p, title="mine", body="mine")
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crowd_notes = [Note(user_id=crowd, project_id=theirs_p, title=f"crowd {i}",
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body="not the reader's") for i in range(CROWD)]
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s.add_all([mine, *crowd_notes])
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await s.flush()
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s.add(_chunk(NoteEmbedding, "note_id", mine.id, MINE_VEC, user_id=reader))
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s.add_all(_chunk(NoteEmbedding, "note_id", n.id, _near(i), user_id=crowd)
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for i, n in enumerate(crowd_notes))
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await s.commit()
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mine_id = mine.id
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assert await _found(emb.semantic_search_notes, reader) == {mine_id}
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found = await _found(emb.semantic_search_notes, crowd)
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assert mine_id not in found and len(found) == 10
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finally:
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await _cleanup(reader, crowd)
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@pytest.mark.asyncio
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async def test_a_note_is_found_behind_the_readers_own_other_project():
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"""The single-user case, and the one the hook arms live in: a project-scoped
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search where the reader's OTHER projects hold the nearer chunks."""
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reader, crowd, mine_p, other_p, _theirs = await _people(uuid.uuid4().hex[:8])
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try:
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async with async_session() as s:
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mine = Note(user_id=reader, project_id=mine_p, title="mine", body="mine")
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elsewhere = [Note(user_id=reader, project_id=other_p, title=f"elsewhere {i}",
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body="another project") for i in range(CROWD)]
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s.add_all([mine, *elsewhere])
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await s.flush()
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s.add(_chunk(NoteEmbedding, "note_id", mine.id, MINE_VEC, user_id=reader))
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s.add_all(_chunk(NoteEmbedding, "note_id", n.id, _near(i), user_id=reader)
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for i, n in enumerate(elsewhere))
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await s.commit()
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mine_id = mine.id
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assert await _found(emb.semantic_search_notes, reader,
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project_id=mine_p) == {mine_id}
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finally:
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await _cleanup(reader, crowd)
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@pytest.mark.asyncio
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async def test_a_milestone_is_found_behind_another_users_nearer_plans():
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reader, crowd, mine_p, _other, theirs_p = await _people(uuid.uuid4().hex[:8])
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try:
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async with async_session() as s:
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mine = Milestone(user_id=reader, project_id=mine_p, title="my plan")
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plans = [Milestone(user_id=crowd, project_id=theirs_p, title=f"plan {i}")
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for i in range(CROWD)]
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s.add_all([mine, *plans])
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await s.flush()
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s.add(_chunk(MilestoneEmbedding, "milestone_id", mine.id, MINE_VEC))
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s.add_all(_chunk(MilestoneEmbedding, "milestone_id", m.id, _near(i))
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for i, m in enumerate(plans))
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await s.commit()
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mine_id = mine.id
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assert await _found(emb.semantic_search_milestones, reader) == {mine_id}
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assert await _found(emb.semantic_search_milestones, reader,
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project_id=mine_p) == {mine_id}
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found = await _found(emb.semantic_search_milestones, crowd)
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assert mine_id not in found and len(found) == 10
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finally:
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await _cleanup(reader, crowd)
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@pytest.mark.asyncio
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async def test_a_system_is_found_behind_another_users_nearer_charters():
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reader, crowd, mine_p, _other, theirs_p = await _people(uuid.uuid4().hex[:8])
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try:
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async with async_session() as s:
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mine = System(user_id=reader, project_id=mine_p, name="mine",
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description="the reader's area")
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areas = [System(user_id=crowd, project_id=theirs_p, name=f"area {i}",
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description="someone else's area") for i in range(CROWD)]
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s.add_all([mine, *areas])
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await s.flush()
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s.add(_chunk(SystemEmbedding, "system_id", mine.id, MINE_VEC))
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s.add_all(_chunk(SystemEmbedding, "system_id", a.id, _near(i))
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for i, a in enumerate(areas))
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await s.commit()
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mine_id = mine.id
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assert await _found(emb.semantic_search_systems, reader) == {mine_id}
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assert await _found(emb.semantic_search_systems, reader,
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project_id=mine_p) == {mine_id}
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found = await _found(emb.semantic_search_systems, crowd)
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assert mine_id not in found and len(found) == 10
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finally:
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await _cleanup(reader, crowd)
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