Add testing

.gitignore

@@ -1,10 +1,216 @@
-# Python-generated files
+# Byte-compiled / optimized / DLL files
 __pycache__/
-*.py[oc]
+*.py[codz]
-build/
+*$py.class
-dist/
-wheels/
-*.egg-info
 
-# Virtual environments
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#   Usually these files are written by a python script from a template
+#   before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py.cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+# Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+# uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+# poetry.lock
+# poetry.toml
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#   pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
+#   https://pdm-project.org/en/latest/usage/project/#working-with-version-control
+# pdm.lock
+# pdm.toml
+.pdm-python
+.pdm-build/
+
+# pixi
+#   Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
+# pixi.lock
+#   Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
+#   in the .venv directory. It is recommended not to include this directory in version control.
+.pixi
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# Redis
+*.rdb
+*.aof
+*.pid
+
+# RabbitMQ
+mnesia/
+rabbitmq/
+rabbitmq-data/
+
+# ActiveMQ
+activemq-data/
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.envrc
 .venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#   JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#   be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#   and can be added to the global gitignore or merged into this file.  For a more nuclear
+#   option (not recommended) you can uncomment the following to ignore the entire idea folder.
+# .idea/
+
+# Abstra
+#   Abstra is an AI-powered process automation framework.
+#   Ignore directories containing user credentials, local state, and settings.
+#   Learn more at https://abstra.io/docs
+.abstra/
+
+# Visual Studio Code
+#   Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore 
+#   that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
+#   and can be added to the global gitignore or merged into this file. However, if you prefer, 
+#   you could uncomment the following to ignore the entire vscode folder
+# .vscode/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
+
+# Marimo
+marimo/_static/
+marimo/_lsp/
+__marimo__/
+
+# Streamlit
+.streamlit/secrets.toml

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "qdrant-mcp"
+name = "vector-search-mcp"
 version = "0.1.0"
 description = "Add your description here"
 readme = "README.md"
@@ -11,7 +11,7 @@ dependencies = [
 ]
 
 [project.scripts]
-qdrant-mcp = "qdrant_mcp:run"
+vector-search-mcp = "vector_search_mcp:run"
 
 [build-system]
 requires = ["uv_build"]
@@ -23,4 +23,16 @@ secret = "qdrant-mcp"
 [dependency-groups]
 dev = [
     "fastembed>=0.7.3",
+    "pytest>=8.4.2",
+    "pytest-asyncio>=1.2.0",
+    "pytest-sugar>=1.1.1",
 ]
+
+[tool.basedpyright]
+reportAny = false
+reportExplicitAny = false
+enableTypeIgnoreComments = true
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+asyncio_default_fixture_loop_scope = "function"

scripts/client.py

@@ -1,16 +0,0 @@
-import asyncio
-from fastmcp import Client
-from fastembed import TextEmbedding
-
-
-embedding_model = TextEmbedding()
-client = Client("http://localhost:8000/sse")
-
-async def call_tool(input: str, collection: str):
-    embedding: list[float] = list(embedding_model.embed(input))[0].tolist()
-
-    async with client:
-        result = await client.call_tool("semantic_search", {"embedding": embedding, "collection": collection})
-        print(result)
-
-asyncio.run(call_tool("Dime sobre las cucarachas", "dummy_collection"))

scripts/create_dummy_collection.py

@@ -1,40 +0,0 @@
-from qdrant_client import QdrantClient
-from fastembed import TextEmbedding
-from qdrant_client.models import Distance, VectorParams, PointStruct
-from qdrant_mcp.config import Settings
-
-settings = Settings()
-embedding_model = TextEmbedding()
-client = QdrantClient(url=settings.url, api_key=settings.api_key)
-
-documents: list[str] = [
-    "Rick es el mas guapo",
-    "Los pulpos tienen tres corazones y sangre azul",
-    "Las cucarachas pueden vivir hasta una semana sin cabeza",
-    "Los koalas tienen huellas dactilares casi idénticas a las humanas",
-    "La miel nunca se echa a perder, incluso después de miles de años"
-]
-embeddings = list(embedding_model.embed(documents))
-size = len(embeddings[0])
-
-_ = client.recreate_collection(
-    collection_name="dummy_collection",
-    vectors_config=VectorParams(
-        distance=Distance.COSINE,
-        size=size
-    )
-)
-
-for idx, (emb, document) in enumerate(zip(embeddings, documents)):
-    _ = client.upsert(
-        collection_name="dummy_collection",
-        points=[
-            PointStruct(
-                id=idx,
-                vector=emb,
-                payload={
-                    "text": document
-                }
-            )
-        ]
-    )

src/qdrant_mcp/__init__.py

@@ -1,4 +0,0 @@
-from .main import mcp
-
-def run():
-    mcp.run(transport="sse")

src/vector_search_mcp/__init__.py

@@ -0,0 +1,7 @@
+from fastmcp.server.server import Transport
+
+from .main import mcp
+
+
+def run(transport: Transport = "sse"):
+    mcp.run(transport=transport)

src/vector_search_mcp/config.py

@@ -1,7 +1,6 @@
-from pydantic import Field
 from vault_settings import VaultSettings
 
 
 class Settings(VaultSettings):
-    url: str = Field(...)
+    url: str
     api_key: str | None = None

src/vector_search_mcp/engine.py

@@ -1,5 +1,5 @@
 from collections.abc import Sequence
-from typing import Any
+from typing import Any, final
 
 from qdrant_client import AsyncQdrantClient, models
 
@@ -7,9 +7,10 @@ from .config import Settings
 from .models import SearchRow
 
 
+@final
 class QdrantEngine:
     def __init__(self) -> None:
-        self.settings = Settings()
+        self.settings = Settings()  # type: ignore[reportCallIssue]
         self.client = AsyncQdrantClient(
             url=self.settings.url, api_key=self.settings.api_key
         )
@@ -32,4 +33,8 @@ class QdrantEngine:
             score_threshold=threshold,
         )
 
-        return [SearchRow(chunk_id=str(point.id), score=point.score, payload=point.payload) for point in points if point.payload is not None]
+        return [
+            SearchRow(chunk_id=str(point.id), score=point.score, payload=point.payload)
+            for point in points
+            if point.payload is not None
+        ]

src/vector_search_mcp/main.py

@@ -2,7 +2,7 @@ from fastmcp import FastMCP
 
 from .engine import QdrantEngine
 
-mcp = FastMCP("Qdrant MCP")
+mcp = FastMCP("Vector Search MCP")
 
 engine = QdrantEngine()
 

src/vector_search_mcp/models.py

@@ -1,6 +1,8 @@
 from typing import Any
+
 from pydantic import BaseModel
 
+
 class SearchRow(BaseModel):
     chunk_id: str
     score: float

tests/conftest.py

@@ -0,0 +1,67 @@
+import subprocess
+import time
+
+import pytest
+from fastembed import TextEmbedding
+from qdrant_client import QdrantClient
+from qdrant_client.models import Distance, PointStruct, VectorParams
+
+
+@pytest.fixture(scope="session")
+def embedding_model():
+    return TextEmbedding()
+
+
+@pytest.fixture(scope="session")
+def qdrant_client(embedding_model: TextEmbedding):
+    client = QdrantClient(":memory:")
+
+    documents: list[str] = [
+        "Rick es el mas guapo",
+        "Los pulpos tienen tres corazones y sangre azul",
+        "Las cucarachas pueden vivir hasta una semana sin cabeza",
+        "Los koalas tienen huellas dactilares casi idénticas a las humanas",
+        "La miel nunca se echa a perder, incluso después de miles de años",
+    ]
+    embeddings = list(embedding_model.embed(documents))
+    size = len(embeddings[0])
+
+    _ = client.recreate_collection(
+        collection_name="dummy_collection",
+        vectors_config=VectorParams(distance=Distance.COSINE, size=size),
+    )
+
+    for idx, (emb, document) in enumerate(zip(embeddings, documents)):
+        _ = client.upsert(
+            collection_name="dummy_collection",
+            points=[
+                PointStruct(id=idx, vector=emb.tolist(), payload={"text": document})
+            ],
+        )
+
+    yield client
+
+
+@pytest.fixture(scope="session", autouse=True)
+def run_mcp():
+    # Start the MCP server in the background
+    process = subprocess.Popen(
+        ["uv", "run", "vector-search-mcp"],
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True,
+    )
+
+    # Give the server a moment to start up
+    time.sleep(2)
+
+    try:
+        yield "http://localhost:8000/sse"
+    finally:
+        # Clean up the process when tests are done
+        process.terminate()
+        try:
+            _ = process.wait(timeout=5)
+        except subprocess.TimeoutExpired:
+            process.kill()
+            _ = process.wait()

tests/test_mcp.py

@@ -0,0 +1,31 @@
+import json
+
+from fastembed import TextEmbedding
+from fastmcp import Client
+from mcp.types import TextContent
+
+
+async def test_call_tool(embedding_model: TextEmbedding, run_mcp: str):
+    input = "Quien es el mas guapo?"
+    collection = "dummy_collection"
+
+    embedding: list[float] = list(embedding_model.embed(input))[0].tolist()
+
+    client = Client(run_mcp)
+
+    async with client:
+        name = "semantic_search"
+        body = {"embedding": embedding, "collection": collection}
+        result = await client.call_tool(name, body)
+
+    content_block = result.content[0]
+
+    assert isinstance(content_block, TextContent)
+
+    deserialized_result = json.loads(content_block.text)
+
+    top_result = deserialized_result[0]
+
+    assert top_result["chunk_id"] == "0"
+    assert top_result["score"] > 0.7
+    assert top_result["payload"] == {"text": "Rick es el mas guapo"}

uv.lock

@@ -546,6 +546,15 @@ wheels = [
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 ]
 
+[[package]]
+name = "iniconfig"
+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f2/97/ebf4da567aa6827c909642694d71c9fcf53e5b504f2d96afea02718862f3/iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7", size = 4793, upload-time = "2025-03-19T20:09:59.721Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/e1/e6716421ea10d38022b952c159d5161ca1193197fb744506875fbb87ea7b/iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760", size = 6050, upload-time = "2025-03-19T20:10:01.071Z" },
+]
+
 [[package]]
 name = "isodate"
 version = "0.7.2"
@@ -1006,6 +1015,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/89/c7/5572fa4a3f45740eaab6ae86fcdf7195b55beac1371ac8c619d880cfe948/pillow-11.3.0-cp314-cp314t-win_arm64.whl", hash = "sha256:79ea0d14d3ebad43ec77ad5272e6ff9bba5b679ef73375ea760261207fa8e0aa", size = 2512835, upload-time = "2025-07-01T09:15:50.399Z" },
 ]
 
+[[package]]
+name = "pluggy"
+version = "1.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f9/e2/3e91f31a7d2b083fe6ef3fa267035b518369d9511ffab804f839851d2779/pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3", size = 69412, upload-time = "2025-05-15T12:30:07.975Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload-time = "2025-05-15T12:30:06.134Z" },
+]
+
 [[package]]
 name = "portalocker"
 version = "2.10.1"
@@ -1148,6 +1166,47 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/5a/dc/491b7661614ab97483abf2056be1deee4dc2490ecbf7bff9ab5cdbac86e1/pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6", size = 83178, upload-time = "2024-09-19T02:40:08.598Z" },
 ]
 
+[[package]]
+name = "pytest"
+version = "8.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "iniconfig" },
+    { name = "packaging" },
+    { name = "pluggy" },
+    { name = "pygments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a3/5c/00a0e072241553e1a7496d638deababa67c5058571567b92a7eaa258397c/pytest-8.4.2.tar.gz", hash = "sha256:86c0d0b93306b961d58d62a4db4879f27fe25513d4b969df351abdddb3c30e01", size = 1519618, upload-time = "2025-09-04T14:34:22.711Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a8/a4/20da314d277121d6534b3a980b29035dcd51e6744bd79075a6ce8fa4eb8d/pytest-8.4.2-py3-none-any.whl", hash = "sha256:872f880de3fc3a5bdc88a11b39c9710c3497a547cfa9320bc3c5e62fbf272e79", size = 365750, upload-time = "2025-09-04T14:34:20.226Z" },
+]
+
+[[package]]
+name = "pytest-asyncio"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pytest" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/42/86/9e3c5f48f7b7b638b216e4b9e645f54d199d7abbbab7a64a13b4e12ba10f/pytest_asyncio-1.2.0.tar.gz", hash = "sha256:c609a64a2a8768462d0c99811ddb8bd2583c33fd33cf7f21af1c142e824ffb57", size = 50119, upload-time = "2025-09-12T07:33:53.816Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/04/93/2fa34714b7a4ae72f2f8dad66ba17dd9a2c793220719e736dda28b7aec27/pytest_asyncio-1.2.0-py3-none-any.whl", hash = "sha256:8e17ae5e46d8e7efe51ab6494dd2010f4ca8dae51652aa3c8d55acf50bfb2e99", size = 15095, upload-time = "2025-09-12T07:33:52.639Z" },
+]
+
+[[package]]
+name = "pytest-sugar"
+version = "1.1.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pytest" },
+    { name = "termcolor" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/0b/4e/60fed105549297ba1a700e1ea7b828044842ea27d72c898990510b79b0e2/pytest-sugar-1.1.1.tar.gz", hash = "sha256:73b8b65163ebf10f9f671efab9eed3d56f20d2ca68bda83fa64740a92c08f65d", size = 16533, upload-time = "2025-08-23T12:19:35.737Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/87/d5/81d38a91c1fdafb6711f053f5a9b92ff788013b19821257c2c38c1e132df/pytest_sugar-1.1.1-py3-none-any.whl", hash = "sha256:2f8319b907548d5b9d03a171515c1d43d2e38e32bd8182a1781eb20b43344cc8", size = 11440, upload-time = "2025-08-23T12:19:34.894Z" },
+]
+
 [[package]]
 name = "python-dotenv"
 version = "1.1.1"
@@ -1233,31 +1292,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d4/2d/4424d730b1eaf3318f9cb86681e1c284caafbebfe51b3635411930e3dad0/qdrant_client-1.13.0-py3-none-any.whl", hash = "sha256:63a063d5232618b609f2c438caf6f3afd3bd110dd80d01be20c596e516efab6b", size = 306439, upload-time = "2025-01-17T10:11:40.31Z" },
 ]
 
-[[package]]
-name = "qdrant-mcp"
-version = "0.1.0"
-source = { editable = "." }
-dependencies = [
-    { name = "fastmcp" },
-    { name = "qdrant-client" },
-    { name = "vault-settings" },
-]
-
-[package.dev-dependencies]
-dev = [
-    { name = "fastembed" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "fastmcp", specifier = ">=2.12.3" },
-    { name = "qdrant-client", specifier = "==1.13" },
-    { name = "vault-settings", specifier = ">=0.1.0" },
-]
-
-[package.metadata.requires-dev]
-dev = [{ name = "fastembed", specifier = ">=0.7.3" }]
-
 [[package]]
 name = "referencing"
 version = "0.36.2"
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 ]
 
+[[package]]
+name = "termcolor"
+version = "3.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ca/6c/3d75c196ac07ac8749600b60b03f4f6094d54e132c4d94ebac6ee0e0add0/termcolor-3.1.0.tar.gz", hash = "sha256:6a6dd7fbee581909eeec6a756cff1d7f7c376063b14e4a298dc4980309e55970", size = 14324, upload-time = "2025-04-30T11:37:53.791Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4f/bd/de8d508070629b6d84a30d01d57e4a65c69aa7f5abe7560b8fad3b50ea59/termcolor-3.1.0-py3-none-any.whl", hash = "sha256:591dd26b5c2ce03b9e43f391264626557873ce1d379019786f99b0c2bee140aa", size = 7684, upload-time = "2025-04-30T11:37:52.382Z" },
+]
+
 [[package]]
 name = "tokenizers"
 version = "0.22.1"
@@ -1546,6 +1589,39 @@ wheels = [
     { url = "https://gitea.ia-innovacion.work/api/packages/innovacion/pypi/files/vault-settings/0.1.0/vault_settings-0.1.0-py3-none-any.whl", hash = "sha256:6f413ea5a9d1ef34bcdae82a03b06d7238370ed967787091955b390fcbd6b925" },
 ]
 
+[[package]]
+name = "vector-search-mcp"
+version = "0.1.0"
+source = { editable = "." }
+dependencies = [
+    { name = "fastmcp" },
+    { name = "qdrant-client" },
+    { name = "vault-settings" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "fastembed" },
+    { name = "pytest" },
+    { name = "pytest-asyncio" },
+    { name = "pytest-sugar" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "fastmcp", specifier = ">=2.12.3" },
+    { name = "qdrant-client", specifier = "==1.13" },
+    { name = "vault-settings", specifier = ">=0.1.0" },
+]
+
+[package.metadata.requires-dev]
+dev = [
+    { name = "fastembed", specifier = ">=0.7.3" },
+    { name = "pytest", specifier = ">=8.4.2" },
+    { name = "pytest-asyncio", specifier = ">=1.2.0" },
+    { name = "pytest-sugar", specifier = ">=1.1.1" },
+]
+
 [[package]]
 name = "werkzeug"
 version = "3.1.1"