CI & Build / Python lint (push) Successful in 3s
CI & Build / Plugin hooks (push) Successful in 11s
CI & Build / TypeScript typecheck (push) Successful in 52s
CI & Build / integration (push) Successful in 56s
CI & Build / Python tests (push) Successful in 1m37s
CI & Build / Build & push image (push) Successful in 28s
`search` covered notes, tasks and rules, and a milestone — the record a plan lives in — could not be found. A project whose roadmap was written as milestones had every later plan opened beside the one that already described it, because nothing could have told the session it existed. - milestone_embeddings (migration 0102): the third sibling of note_ and rule_embeddings, for note 3163's reason — the search is milestone-specific. The document is title — description, then description and the plan body, so a roadmap milestone with no description is still found by its design. - Written on create, on a title/description/body update, and for a plan made through start_planning / create_records, fire-and-forget with the parent-row claim (#3262); a startup backfill covers every existing milestone. Derived, so it joins _NOT_INCLUDED beside the other embeddings. - semantic_search_milestones: a project's milestones when the caller can read it (access.can_read_project), otherwise the caller's own; optional status. - search(content_type="milestone"): id, title, description, status, project and progress. Its own shape, and not part of "all", whose results are note-shaped. The docstring says what it is for: ask before start_planning. - Integration test on real Postgres: found in its project and not another, status narrows, an unreadable project returns nothing. Milestone 415 step 3. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01821k5B3Ysecp9fNYs92Kuy
140 lines
5.2 KiB
Python
140 lines
5.2 KiB
Python
"""search tool — proves the tool pattern (context + service call + dict shape).
|
|
|
|
Service call is mocked; no DB needed."""
|
|
from unittest.mock import AsyncMock, patch
|
|
|
|
import pytest
|
|
|
|
from scribe.mcp._context import _user_id_ctx
|
|
from scribe.mcp.tools.search import search
|
|
from tests.helpers import fake_note
|
|
|
|
|
|
@pytest.fixture(autouse=True)
|
|
def _reset_user_ctx():
|
|
"""Each test starts with no MCP context. Tests set it explicitly."""
|
|
token = _user_id_ctx.set(None)
|
|
yield
|
|
_user_id_ctx.reset(token)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_fable_search_raises_without_context():
|
|
with pytest.raises(RuntimeError, match="no MCP user context"):
|
|
await search(q="anything")
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_fable_search_returns_repackaged_results():
|
|
_user_id_ctx.set(7)
|
|
fake = fake_note(id=1, title="kafka rebalance", is_task=False, body="HPA details", tags=["ops"])
|
|
with patch(
|
|
"scribe.mcp.tools.search.semantic_search_notes",
|
|
AsyncMock(return_value=[(0.93, fake)]),
|
|
):
|
|
out = await search(q="kafka")
|
|
|
|
assert out["total"] == 1
|
|
assert len(out["results"]) == 1
|
|
r = out["results"][0]
|
|
assert r["id"] == 1
|
|
assert r["title"] == "kafka rebalance"
|
|
assert r["body"] == "HPA details"
|
|
assert r["is_task"] is False
|
|
assert r["tags"] == ["ops"]
|
|
assert r["similarity"] == pytest.approx(0.93)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_fable_search_body_is_truncated_to_240_chars():
|
|
_user_id_ctx.set(7)
|
|
long_body = "x" * 500
|
|
fake = fake_note(id=1, title="t", body=long_body)
|
|
with patch(
|
|
"scribe.mcp.tools.search.semantic_search_notes",
|
|
AsyncMock(return_value=[(0.5, fake)]),
|
|
):
|
|
out = await search(q="x")
|
|
assert len(out["results"][0]["body"]) == 240
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_fable_search_content_type_filters_at_service_layer():
|
|
"""content_type maps to the is_task kwarg passed to the service."""
|
|
_user_id_ctx.set(7)
|
|
mock_search = AsyncMock(return_value=[])
|
|
with patch("scribe.mcp.tools.search.semantic_search_notes", mock_search):
|
|
await search(q="x", content_type="task")
|
|
assert mock_search.call_args.kwargs["is_task"] is True
|
|
|
|
mock_search.reset_mock()
|
|
await search(q="x", content_type="note")
|
|
assert mock_search.call_args.kwargs["is_task"] is False
|
|
|
|
mock_search.reset_mock()
|
|
await search(q="x", content_type="all")
|
|
assert mock_search.call_args.kwargs["is_task"] is None
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_fable_search_limit_is_clamped():
|
|
_user_id_ctx.set(7)
|
|
mock_search = AsyncMock(return_value=[])
|
|
with patch("scribe.mcp.tools.search.semantic_search_notes", mock_search):
|
|
await search(q="x", limit=999)
|
|
assert mock_search.call_args.kwargs["limit"] == 50
|
|
|
|
mock_search.reset_mock()
|
|
await search(q="x", limit=0)
|
|
assert mock_search.call_args.kwargs["limit"] == 1
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.parametrize("project_id, scope", [
|
|
(5, {"project_id": 5}),
|
|
# No project: the explicit question is asked of the whole rulebook.
|
|
(0, {"everywhere": True}),
|
|
])
|
|
async def test_rule_search_scopes_to_the_project_it_is_given(project_id, scope):
|
|
"""With a project: global rules plus that project's (milestone 414).
|
|
Without one: every rule, because an unscoped "is there a rule about this"
|
|
is asking the whole rulebook — unlike a hook, which speaks unasked."""
|
|
_user_id_ctx.set(7)
|
|
found = AsyncMock(return_value=[])
|
|
with patch("scribe.mcp.tools.search.semantic_search_rules", found):
|
|
await search(q="release tagging", content_type="rule", project_id=project_id)
|
|
kwargs = found.await_args.kwargs
|
|
assert {k: kwargs[k] for k in scope} == scope
|
|
assert set(kwargs) & {"project_id", "everywhere"} == set(scope)
|
|
|
|
|
|
def test_a_milestone_is_embedded_by_what_it_is_for_then_its_plan():
|
|
from scribe.services.embeddings import milestone_document
|
|
|
|
assert milestone_document("M3", "metadata providers", "## Goal\nx") == (
|
|
"M3 — metadata providers", "metadata providers\n\n## Goal\nx")
|
|
# A roadmap milestone written with no description is still findable by its plan.
|
|
assert milestone_document("M3", None, "the plan") == ("M3", "the plan")
|
|
assert milestone_document(None, None, None) == (None, None)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_milestone_search_is_its_own_shape_and_scopes_to_the_project():
|
|
"""milestone 415: 'is there already a plan for this?' has a tool."""
|
|
from unittest.mock import MagicMock
|
|
|
|
_user_id_ctx.set(7)
|
|
ms = MagicMock(id=339, title="M3 — Metadata", description="works, editions",
|
|
status="active", project_id=30)
|
|
found = AsyncMock(return_value=[(0.81, ms)])
|
|
summary = AsyncMock(return_value=[{"id": 339, "total": 0, "completed": 0}])
|
|
with patch("scribe.mcp.tools.search.semantic_search_milestones", found), \
|
|
patch("scribe.services.milestones.get_project_milestone_summary", summary):
|
|
out = await search(q="book metadata", content_type="milestone", project_id=30)
|
|
assert found.await_args.kwargs["project_id"] == 30
|
|
assert out["results"] == [{
|
|
"id": 339, "title": "M3 — Metadata", "description": "works, editions",
|
|
"status": "active", "project_id": 30, "total": 0, "completed": 0,
|
|
"similarity": 0.81,
|
|
}]
|