Agent skill
pytest
Provides comprehensive guidance for pytest testing framework including test writing, fixtures, parametrization, mocking, and plugins. Use when the user asks about pytest, needs to write Python tests, use pytest fixtures, or configure pytest for Python projects.
Install this agent skill to your Project
npx add-skill https://github.com/partme-ai/full-stack-skills/tree/main/skills/testing-skills/pytest
SKILL.md
When to use this skill
Use this skill whenever the user wants to:
- Write and run Python unit tests with pytest
- Use fixtures for test setup, teardown, and dependency injection
- Parametrize tests to run with multiple input sets
- Mock dependencies with
pytest-mockorunittest.mock - Configure pytest via
pytest.ini,pyproject.toml, orconftest.py - Generate coverage reports with
pytest-cov - Run tests in parallel with
pytest-xdist
How to use this skill
Workflow
- Write test functions with
test_prefix orTestclass - Use fixtures in
conftest.pyfor shared setup and dependency injection - Run tests with
pytestCLI, applying markers and filters as needed - Analyze results with coverage and reporting plugins
1. Basic Test
def test_addition():
assert 1 + 1 == 2
def test_string_upper():
assert "hello".upper() == "HELLO"
2. Fixtures
import pytest
@pytest.fixture
def sample_user():
return {"name": "Alice", "email": "alice@example.com"}
def test_user_name(sample_user):
assert sample_user["name"] == "Alice"
@pytest.fixture(autouse=True)
def reset_database(db):
db.clear()
yield
db.clear()
3. Parametrize
import pytest
@pytest.mark.parametrize("input,expected", [
("hello", 5),
("", 0),
("pytest", 6),
])
def test_string_length(input, expected):
assert len(input) == expected
4. Mocking
def test_api_call(mocker):
mock_get = mocker.patch("requests.get")
mock_get.return_value.json.return_value = {"status": "ok"}
result = fetch_status()
assert result == "ok"
mock_get.assert_called_once()
5. Running Tests
# Run all tests
pytest
# Verbose with pattern filter
pytest -v -k "test_user"
# With coverage
pytest --cov=mypackage --cov-report=html
# Parallel execution
pytest -n auto
Best Practices
- Keep tests independent with no shared mutable state; use fixtures for setup and teardown
- Use clear, descriptive test names that explain the expected behavior
- Avoid depending on test execution order; use
conftest.pyfor shared fixtures - Run the full test suite in CI; use
--covfor coverage and--maxfail=1to fail fast - Use markers (
@pytest.mark.slow) to categorize tests and run subsets
Resources
- Official documentation: https://docs.pytest.org/
- pytest-cov: https://pytest-cov.readthedocs.io/
- pytest-xdist: https://github.com/pytest-dev/pytest-xdist
Keywords
pytest, Python testing, fixtures, parametrize, mocking, conftest, coverage, pytest-cov, pytest-xdist, unit testing, markers
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