FabledScribe/tests/test_mcp_tool_search.py

"""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"
    # The whole body, because it fits — and named as the opening, not as the
    # passage that matched, since this call patched the search and so carries
    # no chunk.
    assert r["excerpt"] == "HPA details"
    assert r["excerpt_is"] == "body_opening"
    assert r["body_length"] == len("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_search_shows_the_passage_that_matched_not_the_opening():
    """The point of #4243. A record can rank on its sixth paragraph; showing
    its first is showing the caller a span the search already judged less
    relevant, and letting them decide from it."""
    _user_id_ctx.set(7)
    body = "Chapter one, about nothing. " * 40 + " THE ANSWER IS 04775c3."
    fake = fake_note(id=1, title="t", body=body)

    async def _search(*a, **kw):
        kw["report"]["best_chunk"] = {
            1: {"index": 3, "text": "THE ANSWER IS 04775c3."}
        }
        return [(0.5, fake)]

    with patch("scribe.mcp.tools.search.semantic_search_notes", _search):
        out = await search(q="answer")
    r = out["results"][0]
    assert r["excerpt"] == "THE ANSWER IS 04775c3."
    assert r["excerpt_is"] == "matched_passage"
    assert r["chunk_index"] == 3
    # And the caller is told there is more record behind the passage.
    assert r["body_length"] == len(body)
    assert "read_full" in r


@pytest.mark.asyncio
async def test_a_result_says_whether_its_excerpt_is_the_match_or_the_opening():
    """A caller that cannot tell the two apart cannot judge whether looking
    deeper is worth it, which is the only decision this field supports."""
    _user_id_ctx.set(7)
    fake = fake_note(id=1, title="t", body="short body")
    with patch(
        "scribe.mcp.tools.search.semantic_search_notes",
        AsyncMock(return_value=[(0.5, fake)]),
    ):
        out = await search(q="x")
    assert out["results"][0]["excerpt_is"] == "body_opening"


@pytest.mark.asyncio
async def test_a_long_excerpt_keeps_both_ends_and_says_how_much_went():
    """The fallback is still an elision, and an elision that drops the tail
    drops wherever the conclusion was."""
    _user_id_ctx.set(7)
    body = "OPENING. " + ("m" * 3000) + " CLOSING."
    fake = fake_note(id=1, title="t", body=body)
    with patch(
        "scribe.mcp.tools.search.semantic_search_notes",
        AsyncMock(return_value=[(0.5, fake)]),
    ):
        out = await search(q="x")
    excerpt = out["results"][0]["excerpt"]
    assert excerpt.startswith("OPENING.")
    assert excerpt.rstrip().endswith("CLOSING.")
    assert "characters omitted" in excerpt
    assert out["results"][0]["body_length"] == len(body)


@pytest.mark.asyncio
async def test_a_short_record_arrives_whole_and_unmarked():
    """Fragmenting a 200-character note serves nobody."""
    _user_id_ctx.set(7)
    fake = fake_note(id=1, title="t", body="all of it")
    with patch(
        "scribe.mcp.tools.search.semantic_search_notes",
        AsyncMock(return_value=[(0.5, fake)]),
    ):
        out = await search(q="x")
    assert out["results"][0]["excerpt"] == "all of it"
    assert "read_full" not in out["results"][0]


@pytest.mark.asyncio
async def test_fable_search_content_type_filters_at_service_layer():
    """The three historical values keep meaning exactly what they meant.

    `note` is the one that could plausibly have been tightened when the
    specific kinds arrived — it is BROAD here (any non-task, snippets and
    lessons included) while the web facet of the same name is narrow. Pinning
    it stops a later tidy-up from silently removing snippets from every caller
    that already asks this way (#4250)."""
    _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
        assert mock_search.call_args.kwargs.get("task_kind") is None

        mock_search.reset_mock()
        await search(q="x", content_type="note")
        assert mock_search.call_args.kwargs["is_task"] is False
        assert mock_search.call_args.kwargs.get("note_type") is None

        mock_search.reset_mock()
        await search(q="x", content_type="all")
        assert mock_search.call_args.kwargs["is_task"] is None


# --- the specific kinds: the engine already supported them (#4250) -----------


@pytest.mark.asyncio
@pytest.mark.parametrize(
    "content_type,expected",
    [
        ("snippet", {"is_task": False, "note_type": "snippet"}),
        ("lesson", {"is_task": False, "note_type": "lesson"}),
        ("process", {"is_task": False, "note_type": "process"}),
        ("issue", {"is_task": True, "task_kind": "issue"}),
        ("spike", {"is_task": True, "task_kind": "spike"}),
        ("work", {"is_task": True, "task_kind": "work"}),
        ("plan", {"is_task": True, "task_kind": "plan"}),
    ],
)
async def test_each_specific_kind_reaches_the_engine_filter_it_names(
    content_type, expected
):
    """`note_type` and `task_kind` were parameters of the search all along —
    what was missing was a way to ask for them from the agent's door. Asking
    for a snippet must narrow to snippets, not merely to non-tasks."""
    _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=content_type)
    kwargs = mock_search.call_args.kwargs
    for key, value in expected.items():
        assert kwargs[key] == value, f"{content_type}: {key}"


def test_the_vocabulary_is_derived_from_the_facet_table_not_recopied():
    """#3161's property, held at this door too: adding a kind to `_FACETS` is
    one edit. A hand-kept list here is exactly how the agent's search came to
    offer two kinds while the web's offered nine."""
    from scribe.services.knowledge import FACET_TYPES, content_type_filters

    for facet in FACET_TYPES:
        filters = content_type_filters(facet)  # raises if a kind is unreachable
        assert "is_task" in filters, facet

    # The guard can fail: a name absent from the table is refused, so this is
    # membership in the table and not "every string works" (#167).
    with pytest.raises(ValueError):
        content_type_filters("a-kind-that-is-not-in-the-facet-table")


@pytest.mark.asyncio
async def test_an_unknown_content_type_is_refused_rather_than_returning_nothing():
    """An empty result set is a CLAIM — "the corpus holds nothing like this" —
    and an agent acts on it by writing the thing it could not find. A typo must
    not be able to make that claim, so the door raises with the vocabulary
    instead of falling through to a filter that matches no row."""
    _user_id_ctx.set(7)
    mock_search = AsyncMock(return_value=[])
    with patch("scribe.mcp.tools.search.semantic_search_notes", mock_search):
        with pytest.raises(ValueError) as err:
            await search(q="x", content_type="snippets")   # plural typo
    mock_search.assert_not_awaited()
    message = str(err.value)
    assert "snippets" in message
    assert "snippet" in message and "lesson" in message   # names the valid ones


@pytest.mark.asyncio
async def test_the_docstring_names_every_kind_the_tool_accepts():
    """The docstring IS the agent-facing contract (#2846) — a filter an agent
    has not been told about is unreachable however well it is wired."""
    from scribe.mcp.tools.search import search as search_tool
    from scribe.services.knowledge import FACET_TYPES

    doc = search_tool.__doc__ or ""
    for facet in FACET_TYPES:
        assert f"'{facet}'" in doc, f"{facet} is accepted but never documented"
    assert "'rule'" in doc and "'milestone'" in doc and "'all'" in doc


@pytest.mark.asyncio
async def test_an_explicit_search_reaches_a_lesson_from_any_project():
    """The wiring half of milestone 385 step 3.

    A lesson records an insight that transfers, so a project filter that hid it
    would hide it precisely on the project that has not learned it yet. This is
    the EXPLICIT search — the operator asked — so it opts in; the unasked-for
    injection arms decide their own budget separately (step 5).

    Asserted on the kwarg rather than on results, because what can regress here
    is the wiring: the service grew the capability and a call site that never
    passes it leaves the whole kind unreachable, with every unit test still
    green.
    """
    _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", project_id=3)

    assert mock_search.call_args.kwargs["include_global_kinds"] is True


@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)
    # `body` is a REAL string, not left to MagicMock's attribute autovivication:
    # the result now reads it, and a mock body would make `matched` a mock
    # object and `body_length` zero while the assertion still looked green
    # (lesson #2833).
    ms = MagicMock(id=339, title="M3 — Metadata", description="works, editions",
                   status="active", project_id=30,
                   body="Step 4 — the metadata editions table.")

    summary = AsyncMock(return_value=[{"id": 339, "total": 0, "completed": 0}])
    seen: dict = {}

    async def _milestone_search(*_a, **kw):
        seen.update(kw)
        kw["report"]["best_chunk"] = {
            339: {"index": 1, "text": "Step 4 — the metadata editions table."}
        }
        return [(0.81, ms)]

    with patch("scribe.mcp.tools.search.semantic_search_milestones",
               _milestone_search), \
         patch("scribe.services.milestones.get_project_milestone_summary", summary):
        out = await search(q="book metadata", content_type="milestone", project_id=30)
    assert seen["project_id"] == 30
    assert out["results"] == [{
        "id": 339, "title": "M3 — Metadata", "description": "works, editions",
        # The plan body stays out; the passage that matched comes along, and
        # says which of the two it is (#4243).
        "matched": "Step 4 — the metadata editions table.",
        "matched_is": "matched_passage",
        "body_length": len("Step 4 — the metadata editions table."),
        "status": "active", "project_id": 30, "total": 0, "completed": 0,
        "similarity": 0.81,
    }]