python-testing

To write a pytest test case, define a Python function prefixed with test_ and use standard assert statements to validate outputs. This Skill guides you through structuring tests, using fixtures, and parametrizing inputs for comprehensive coverage.

The best way to mock external API calls in pytest is using unittest.mock to patch requests and responses. This Skill covers mocking techniques and patching dependencies to isolate API and database testing patterns effectively.

Test-driven development with pytest follows the red-green-refactor cycle: write a failing test, write code to pass it, then refactor. This Skill provides strategies for implementing TDD workflows to ensure robust Python application quality.

Yes, you can test asynchronous Python code with pytest using the pytest-asyncio plugin. This Skill explains how to configure and write async test cases to validate your asynchronous functions and coroutines.

Pytest fixtures provide a reliable way to set up and tear down database states by injecting reusable objects into test functions. This Skill details fixture configuration and common testing patterns for database operations.

Parametrizing tests in pytest allows you to run a single test function against multiple input sets using the @pytest.mark.parametrize decorator. This Skill covers execution strategies for efficient parametrized testing.