python-testing

What problem does it solve?

Writing effective, maintainable Python tests can be complex, leading to insufficient test coverage, flaky tests, and difficulty in debugging, ultimately slowing down development and increasing bugs. This Skill provides expert guidance and automation for Python testing.

Core Features & Use Cases

• Pytest & Unittest Guidance: Get best practices for structuring tests, using fixtures, and parametrizing test cases with pytest.
• Mocking & Coverage: Learn how to effectively mock external dependencies and achieve high code coverage for robust applications.
• Async Testing: Guidance for testing asynchronous Python code, ensuring reliability in modern applications.
• Use Case: You're adding a new feature to your Python API and need to ensure it's thoroughly tested. Use this Skill to generate pytest test cases for your new endpoints, including mocking the database and handling various input scenarios, saving you time on manual test creation.

Quick Start

Help me write tests for my user authentication module using pytest.