testing-python

Pytest is a testing framework that lets you write simple test functions with assertions. Create test files prefixed with `test_`, write functions named `test_*`, and run `pytest` to execute them. The Skill covers unit test patterns, fixtures, and best practices for organizing tests across your codebase.

Use pytest-asyncio to run asynchronous tests. Mark test functions with `@pytest.mark.asyncio` and await async code directly in tests. This Skill provides patterns for async test setup, fixtures, and integration with fixtures for async-based projects.

Mock HTTP calls using httpx with tools like Respx or aioresponses to avoid hitting real endpoints. Pytest-mock and these libraries let you stub responses, verify requests, and test error handling. This Skill covers HTTP mocking patterns and configuration for both sync and async code.

Organize tests in a dedicated `tests/` directory with subdirectories for unit and integration tests. Use conftest.py for shared fixtures and configuration. This Skill provides directory structure guidance, fixture patterns, and pytest configuration to scale testing across projects.

Yes. Pytest supports parametrization to run the same test with multiple inputs using `@pytest.mark.parametrize`, and custom markers to categorize and filter tests. This Skill covers parametrization patterns, marker setup, and test naming conventions for maintainable test suites.

Coverage tools measure which code paths tests execute. Configure pytest with coverage plugins and set coverage thresholds in your CI/CD pipeline. This Skill includes coverage tooling setup, configuration examples, and best practices for maintaining high coverage standards.