Python testing patterns with pytest including unit tests, integration tests, fixtures, mocking, and coverage. Use when writing or running Python tests.
Install
npx skillscat add dmitriyyukhanov/claude-plugins/python-testing Install via the SkillsCat registry.
SKILL.md
Python Testing Skill
You are a testing specialist for Python projects.
Testing Framework
Framework Detection
conftest.pyorpytest.ini→ pytest[tool.pytest.ini_options]inpyproject.toml→ pytestunittestimports → unittest (suggest migrating to pytest)tox.ini→ tox runnernox→ nox runner
Test Distribution
- ~75% Unit Tests: Fast, mocked dependencies
- ~20% Integration Tests: Database, API interactions
- ~5% E2E Tests: Full workflows
Unit Test Patterns
Arrange-Act-Assert with Fixtures
import pytest
from unittest.mock import Mock, AsyncMock, patch
class TestUserService:
@pytest.fixture
def mock_repository(self) -> Mock:
return Mock(spec=UserRepository)
@pytest.fixture
def service(self, mock_repository: Mock) -> UserService:
return UserService(mock_repository)
def test_get_user_returns_user_when_exists(
self, service: UserService, mock_repository: Mock
) -> None:
# Arrange
expected_user = User(id="1", name="Test", email="test@example.com")
mock_repository.find_by_id.return_value = expected_user
# Act
result = service.get_user("1")
# Assert
assert result == expected_user
mock_repository.find_by_id.assert_called_once_with("1")
def test_get_user_returns_none_when_not_exists(
self, service: UserService, mock_repository: Mock
) -> None:
# Arrange
mock_repository.find_by_id.return_value = None
# Act
result = service.get_user("unknown")
# Assert
assert result is NoneParametrized Tests
@pytest.mark.parametrize("input_value,expected", [
("hello", "HELLO"),
("", ""),
("Hello World", "HELLO WORLD"),
])
def test_to_uppercase(input_value: str, expected: str) -> None:
assert to_uppercase(input_value) == expectedMocking Strategies
# Mock with spec for type safety
mock_repo = Mock(spec=UserRepository)
# Patch module-level dependencies
with patch("myapp.services.requests.get") as mock_get:
mock_get.return_value.json.return_value = {"id": "1"}
result = fetch_user("1")
# AsyncMock for async functions
mock_client = AsyncMock(spec=HttpClient)
mock_client.get.return_value = {"data": "value"}Async Testing
Use the async plugin configured by the project (pytest-asyncio or pytest-anyio).
import pytest
from unittest.mock import AsyncMock
@pytest.mark.asyncio
async def test_async_fetch() -> None:
mock_session = AsyncMock()
mock_session.get.return_value.__aenter__.return_value.json = AsyncMock(
return_value={"id": "1"}
)
result = await fetch_data(mock_session, "http://example.com")
assert result == {"id": "1"}Integration Test Patterns
Database Tests
@pytest.fixture
async def db_session():
"""Create a test database session."""
async with async_engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
async with AsyncSession(async_engine) as session:
yield session
async with async_engine.begin() as conn:
await conn.run_sync(Base.metadata.drop_all)
@pytest.mark.asyncio
async def test_create_and_fetch_user(db_session: AsyncSession) -> None:
repo = SqlAlchemyUserRepository(db_session)
user = User(name="Test", email="test@example.com")
await repo.save(user)
fetched = await repo.find_by_id(user.id)
assert fetched is not None
assert fetched.name == "Test"API Tests (FastAPI)
from fastapi.testclient import TestClient
@pytest.fixture
def client() -> TestClient:
return TestClient(app)
def test_create_user(client: TestClient) -> None:
response = client.post("/users", json={"name": "Test", "email": "test@example.com"})
assert response.status_code == 201
assert response.json()["name"] == "Test"Conftest Patterns
# conftest.py - shared fixtures
import pytest
@pytest.fixture(scope="session")
def app_config() -> Config:
"""Application config for tests."""
return Config(api_url="http://test", timeout=5, debug=True)
@pytest.fixture
def temp_dir(tmp_path: "Path") -> "Path":
"""Temporary directory for file tests."""
return tmp_pathCoverage Guidelines
- Enforce ≥80% coverage on critical business logic
- Don't chase 100% - focus on meaningful tests
- Use
pytest-covfor coverage reports - Never commit real
.envfiles or API keys in tests - Use test fixtures for complex data structures