What problem does it solve?
Provides clear patterns and examples to reduce the friction of writing, organizing, and maintaining Python tests, helping developers produce robust and consistent test suites.
Core Features & Use Cases
- Test structure & conventions: guidance for organizing test classes, test functions, and naming for discoverability.
- Fixtures & scopes: examples for reusable fixtures, teardown handling, and scope variations (function, class, module, session).
- Mocking & isolation: patterns using unittest.mock and MagicMock to isolate dependencies and assert interactions.
- Parametrization & markers: techniques for parametrized tests, custom markers (slow, integration), skips, and conditional tests.
- Async & CI: async test patterns, conftest shared fixtures, and recommended pytest CLI flags for CI and local workflows.
- Use Case: Accelerate building unit and integration tests for a Python service by reusing fixture patterns, mocking external services, and filtering runs with markers.
Quick Start
Request a pytest test suite for a sample user service that includes reusable fixtures, mocking examples, parametrized test cases, marker usage, an async test example, and suggested pytest command-line invocations.