dograh/api/tests/test_mcp_docs_search.py
supermario_leo 6d3c18975f feat(mcp): add search_docs tool over Mintlify docs corpus
Closes #295. The docs at https://docs.dograh.com promise "Search the
Dograh docs for how to configure a TURN server" as an MCP example
prompt, but no search_docs tool exists in the MCP server — agents can
list workspace resources but cannot search the documentation.

This adds a dependency-free, in-process keyword search over the
`docs/` tree shipped into the API image (`COPY ./docs ./docs`):

- New `api/mcp_server/tools/docs_search.py` — async `search_docs(query,
  limit=10)` with weighted scoring (path > title > body), a 25-result
  hard cap, snippet extraction around the first term hit, and graceful
  empty-list degradation when docs aren't on disk. `DOGRAH_DOCS_PATH`
  env var overrides location discovery for non-Docker layouts.

- Registered in `api/mcp_server/server.py` alongside the other tools,
  keeping the existing list-alphabetical convention.

- `api/tests/test_mcp_docs_search.py` — 18 unit tests covering the
  pure helpers (tokenizer, frontmatter stripping, title extraction,
  scoring weights, URL building) and end-to-end ranking, limit
  clamping, empty-corpus degradation, and input-validation errors.
  Mocks `authenticate_mcp_request` to avoid the DB dependency,
  mirroring `test_mcp_save_workflow.py`.

Implementation notes:
- The docs corpus is ~100 files / ~140k LoC, so a per-call scan runs
  well under 50 ms; avoiding a vector index / embedding backend keeps
  the tool zero-dependency and works for fully offline self-hosted
  deployments.
- Authentication is required for consistency with the other MCP tools
  (and to route through the existing rate-limit middleware), even
  though docs are not org-scoped data.
- Title/path matches deliberately outweigh body matches so a page
  whose subject IS the query term outranks one that merely mentions
  it incidentally.
2026-05-19 09:59:24 +08:00

294 lines
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Python

"""Unit tests for the `search_docs` MCP tool.
The tool reads the docs corpus from disk via ``_resolve_docs_root`` and
caches it with ``functools.lru_cache``. These tests point the cache at
a synthetic corpus per-test so the assertions don't depend on the real
docs tree (which evolves) and the LRU cache doesn't leak state.
`authenticate_mcp_request` is mocked so the tests don't need a live DB
or a valid API key — mirroring the pattern in
``test_mcp_save_workflow.py``.
"""
from __future__ import annotations
import os
from pathlib import Path
from unittest.mock import AsyncMock, patch
import pytest
from api.mcp_server.tools import docs_search as docs_search_module
from api.mcp_server.tools.docs_search import (
_docs_url_for,
_extract_page_title,
_resolve_docs_root,
_score_page,
_strip_frontmatter,
_tokenize_query,
search_docs,
)
# ─── Fixtures ────────────────────────────────────────────────────────────
@pytest.fixture
def fake_docs_root(tmp_path: Path) -> Path:
"""Build a minimal docs tree on disk and point the tool at it."""
docs_root = tmp_path / "docs"
docs_root.mkdir()
(docs_root / "configurations").mkdir()
(docs_root / "configurations" / "voice.mdx").write_text(
"---\n"
'title: "Voice"\n'
"---\n\n"
"# Voice configuration\n\n"
"Dograh supports ElevenLabs and Cartesia TTS providers.\n"
"Configure the ElevenLabs voice_id in your workspace settings.\n",
encoding="utf-8",
)
(docs_root / "configurations" / "transcriber.mdx").write_text(
"---\n"
'title: "Transcriber"\n'
"---\n\n"
"# Speech-to-text\n\nDeepgram is the default transcriber.\n",
encoding="utf-8",
)
(docs_root / "deployment").mkdir()
(docs_root / "deployment" / "turn-server.mdx").write_text(
"---\n"
'title: "TURN server setup"\n'
"---\n\n"
"# TURN server\n\n"
"WebRTC requires a TURN server for NAT traversal. Coturn is the "
"recommended choice for self-hosted deployments.\n",
encoding="utf-8",
)
# A non-doc file that must be ignored by the corpus loader.
(docs_root / "docs.json").write_text('{"name":"Dograh"}', encoding="utf-8")
# Reset the LRU cache and pin the resolver to our tmp tree.
docs_search_module._docs_corpus.cache_clear()
with patch.dict(os.environ, {"DOGRAH_DOCS_PATH": str(docs_root)}):
yield docs_root
docs_search_module._docs_corpus.cache_clear()
@pytest.fixture
def authed_user():
"""Stub ``authenticate_mcp_request`` so tests skip the API-key path."""
class _FakeUser:
selected_organization_id = 1
id = 42
with patch(
"api.mcp_server.tools.docs_search.authenticate_mcp_request",
new=AsyncMock(return_value=_FakeUser()),
):
yield _FakeUser()
# ─── Pure helpers ────────────────────────────────────────────────────────
def test_tokenize_query_strips_short_and_punct_terms():
"""Punctuation and 1-char tokens must not bleed into the scorer.
A trailing `?` or stray `a` would otherwise match nearly every page
and flatten the relevance ranking.
"""
assert _tokenize_query("How do I configure a TURN server?") == [
"how",
"do",
"configure",
"turn",
"server",
]
def test_tokenize_query_empty_input_returns_empty():
assert _tokenize_query("") == []
assert _tokenize_query("?? // !!") == []
def test_strip_frontmatter_removes_yaml_block():
body = '---\ntitle: "X"\n---\n\n# Heading\n'
assert _strip_frontmatter(body).startswith("# Heading")
def test_strip_frontmatter_passes_through_when_missing():
body = "# Just a heading\nbody text\n"
assert _strip_frontmatter(body) == body
def test_extract_page_title_prefers_frontmatter():
body = '---\ntitle: "Front Title"\n---\n\n# Heading Title\n'
assert _extract_page_title(body, fallback="x.mdx") == "Front Title"
def test_extract_page_title_falls_back_to_first_heading():
"""When frontmatter is missing the first ATX heading is the next best
signal — better than just returning the filename, which often is
a slug not a human-readable title."""
body = "# Heading Title\nbody\n"
assert _extract_page_title(body, fallback="x.mdx") == "Heading Title"
def test_extract_page_title_falls_back_to_filename_when_nothing_matches():
body = "plain prose with no heading or frontmatter"
assert _extract_page_title(body, fallback="x.mdx") == "x.mdx"
def test_docs_url_for_strips_extension_and_index():
assert (
_docs_url_for("configurations/voice.mdx")
== "https://docs.dograh.com/configurations/voice"
)
assert (
_docs_url_for("getting-started/index.mdx")
== "https://docs.dograh.com/getting-started"
)
def test_score_page_weights_title_above_body():
"""Title hits must outweigh body hits — otherwise a long page that
incidentally mentions the term many times outranks the page whose
purpose IS the term."""
title_only = _score_page(
rel_path="other.mdx", title="TURN server", body="unrelated text", terms=["turn"]
)
body_only = _score_page(
rel_path="other.mdx",
title="Unrelated",
body="turn turn turn turn turn",
terms=["turn"],
)
assert title_only > body_only
def test_score_page_returns_zero_when_no_terms_match():
assert (
_score_page(
rel_path="x.mdx", title="X", body="hello world", terms=["nonexistent"]
)
== 0
)
def test_resolve_docs_root_honors_env_override(tmp_path: Path):
docs = tmp_path / "custom_docs"
docs.mkdir()
with patch.dict(os.environ, {"DOGRAH_DOCS_PATH": str(docs)}):
assert _resolve_docs_root() == docs.resolve()
def test_resolve_docs_root_ignores_nonexistent_env_value(tmp_path: Path):
"""A bogus env value must not crash the tool — fall back to discovery
(the real ``docs/`` in the repo) instead."""
with patch.dict(os.environ, {"DOGRAH_DOCS_PATH": str(tmp_path / "nope")}):
# Walk-up discovery should land somewhere (the repo's actual docs)
# but we don't assert the exact path because it depends on where
# the tests are run; we just assert no crash and either None or a dir.
resolved = _resolve_docs_root()
assert resolved is None or resolved.is_dir()
# ─── End-to-end tool behaviour ───────────────────────────────────────────
@pytest.mark.asyncio
async def test_search_docs_ranks_turn_setup_first_for_turn_query(
fake_docs_root, authed_user
):
"""The page whose title and body are both about TURN must outrank
incidental mentions of related words on other pages."""
results = await search_docs("How do I set up a TURN server?")
assert results, "expected at least one result"
assert results[0]["path"] == "deployment/turn-server.mdx"
assert results[0]["url"] == "https://docs.dograh.com/deployment/turn-server"
assert "TURN server" in results[0]["title"]
assert "TURN" in results[0]["snippet"] or "turn" in results[0]["snippet"].lower()
@pytest.mark.asyncio
async def test_search_docs_excludes_non_doc_files(fake_docs_root, authed_user):
"""``docs.json`` must not appear — the corpus loader filters to
.mdx/.md only."""
results = await search_docs("Dograh")
paths = [r["path"] for r in results]
assert "docs.json" not in paths
@pytest.mark.asyncio
async def test_search_docs_returns_empty_when_no_match(fake_docs_root, authed_user):
results = await search_docs("xyzzy unrelated zzz")
assert results == []
@pytest.mark.asyncio
async def test_search_docs_respects_limit(fake_docs_root, authed_user):
"""``limit=1`` must collapse the result list even if multiple pages
match."""
results = await search_docs("Dograh", limit=1)
assert len(results) == 1
@pytest.mark.asyncio
async def test_search_docs_clamps_limit_to_hard_cap(fake_docs_root, authed_user):
"""A pathological large limit must be clamped to
``DOCS_SEARCH_MAX_LIMIT`` (=25) so the payload stays bounded."""
# Drop in extra docs so there's headroom to verify the clamp.
for i in range(30):
(fake_docs_root / f"extra-{i}.mdx").write_text(
f"# Page {i}\nThis Dograh page covers configurations topic {i}.\n",
encoding="utf-8",
)
docs_search_module._docs_corpus.cache_clear()
results = await search_docs("Dograh", limit=999)
assert len(results) <= 25
@pytest.mark.asyncio
async def test_search_docs_returns_empty_when_no_corpus(
tmp_path, authed_user, monkeypatch
):
"""If the docs directory doesn't exist on disk, the tool must
degrade to an empty list rather than raising — Docker images and
dev checkouts can disagree on layout."""
nonexistent = tmp_path / "no-docs-here"
monkeypatch.setenv("DOGRAH_DOCS_PATH", str(nonexistent))
# Also block the walk-up fallback by pointing the resolver at a
# tmp path with no `docs/` ancestor.
docs_search_module._docs_corpus.cache_clear()
with patch(
"api.mcp_server.tools.docs_search._resolve_docs_root", return_value=None
):
results = await search_docs("anything")
assert results == []
@pytest.mark.asyncio
async def test_search_docs_rejects_empty_query(fake_docs_root, authed_user):
with pytest.raises(ValueError, match="non-empty string"):
await search_docs("")
@pytest.mark.asyncio
async def test_search_docs_rejects_query_with_no_real_terms(
fake_docs_root, authed_user
):
"""A query like `"???"` tokenizes to nothing — surface an actionable
error rather than silently returning every page."""
with pytest.raises(ValueError, match="2\\+ alphanumeric"):
await search_docs("?? // !!")
@pytest.mark.asyncio
async def test_search_docs_rejects_zero_limit(fake_docs_root, authed_user):
with pytest.raises(ValueError, match="at least 1"):
await search_docs("Dograh", limit=0)