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FabledGrimoire/tests/test_search_scope_shape.py
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bvandeusenandClaude Opus 5.5 4c150cbc2f docs(6209): test prose in the present tense — "used to", "previously", "before this" restated as the failure shape
Twenty-eight test files described the code they guard by what it did
before a fix. Each is now the property and the failure it prevents, in the
present tense: the backfill snapshot, the per-dial calibration query, the
rule scope, the lesson trigger filter, the subshell global, the trash owner
scope, the version readout fallback, and others. A docstring line that
narrated the backup suite's own history is removed.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-21 21:46:57 -04:00

95 lines
3.8 KiB
Python

"""Every semantic search scopes first, then ranks.
Ordered straight off a `*_embeddings` table, the planner walks the HNSW index:
it takes ~`hnsw.ef_search` (40) nearest chunks from every owner and project
and filters them afterwards, so an in-scope record behind 40 nearer ones the
caller cannot see is silently dropped. The remedy is one shape, `_rank_scoped`,
and these pin that every search goes through it — fixed in one search alone,
the others keep the fault, because nothing says they are the same query.
The integration lane's crowd tests show the behaviour on a real index; these
are the guard that fails on a rank-then-scope query whatever plan Postgres
picks.
"""
from __future__ import annotations
import ast
from pathlib import Path
from sqlalchemy.dialects import postgresql
from scribe.models.embedding import NoteEmbedding
from scribe.models.note import Note
from scribe.services import embeddings as emb
from tests.helpers import compiled_sql
_SOURCE = Path("src/scribe/services/embeddings.py")
def _searches() -> dict[str, ast.AsyncFunctionDef]:
tree = ast.parse(_SOURCE.read_text())
return {
node.name: node for node in tree.body
if isinstance(node, ast.AsyncFunctionDef)
and node.name.startswith("semantic_search_")
}
def _calls(fn: ast.AST) -> list[str]:
return [
getattr(n.func, "attr", None) or getattr(n.func, "id", None)
for n in ast.walk(fn) if isinstance(n, ast.Call)
]
def test_every_semantic_search_ranks_through_the_scoped_shape():
searches = _searches()
# The four corpora with an embedding table: if one is renamed or a fifth
# is added, this has to be looked at rather than silently passing.
assert set(searches) == {
"semantic_search_notes", "semantic_search_rules",
"semantic_search_milestones", "semantic_search_systems",
}
for name, fn in searches.items():
calls = _calls(fn)
assert "_rank_scoped" in calls, f"{name} does not rank through _rank_scoped"
assert "_scoped_chunks" in calls, f"{name} does not build its scope as chunks"
# Its own ORDER BY is the rank-then-scope shape: a distance ordered on the
# embedding table, which the index serves before the scope applies.
assert "order_by" not in calls, f"{name} orders by distance itself"
def test_a_rank_then_scope_query_is_caught():
"""Replay the guard against a query that ranks first and scopes after."""
old = ast.parse(
"async def semantic_search_x():\n"
" rows = await session.execute(select(Note, distance).select_from(E)"
".join(Note, E.note_id == Note.id).where(scope)"
".order_by(distance).limit(k))\n"
).body[0]
calls = _calls(old)
assert "_rank_scoped" not in calls and "order_by" in calls
def test_the_scope_is_materialized_and_the_order_is_over_it():
# Column against column, so there is no vector literal to inline: the
# shape is the subject here, not the query.
distance = NoteEmbedding.embedding.cosine_distance(NoteEmbedding.embedding)
scoped = (
emb._scoped_chunks(NoteEmbedding, NoteEmbedding.note_id, distance)
.join(Note, NoteEmbedding.note_id == Note.id)
.where(Note.user_id == 1)
)
sql = compiled_sql(
emb._rank_scoped(Note, scoped, name="scoped_x", limit=5),
dialect=postgresql.dialect(),
)
# MATERIALIZED is what keeps the planner from inlining the CTE and walking
# the index again; the ORDER BY must name the CTE's column, not the table's.
assert "scoped_x AS MATERIALIZED" in sql
assert "ORDER BY scoped_x.distance" in sql
assert "note_embeddings.embedding <=>" in sql.split("ORDER BY")[0]
# The scope sits inside the CTE, where the ranking draws from.
cte_body = sql.split("AS MATERIALIZED", 1)[1].split("SELECT notes", 1)[0]
assert "notes.user_id" in cte_body