Can it help me test database interactions?

Yes, it includes patterns for using fixtures to manage database connections, setup initial state, and ensure teardown happens after every test to maintain isolation.

Is this suitable for testing external API integrations?

Absolutely. It focuses heavily on mocking techniques using unittest.mock and monkeypatching to simulate API responses and test error handling without making real network calls.

Does this skill work with standard Python unittest?

While the skill leverages unittest.mock for isolation, it is primarily optimized for pytest, providing patterns for fixtures, marks, and parameterization that go beyond standard library capabilities.

How does this skill handle asynchronous code?

It provides specific patterns for testing async functions using pytest-asyncio, including async fixtures and concurrent operation testing.

Python Testing Patterns

Name: Python Testing Patterns
Author: prof-ramos

byprof-ramos

•

보안 및 테스팅

Implements comprehensive Python testing strategies using pytest, advanced mocking, and fixtures to ensure code reliability.

소개

The Python Testing Patterns skill equips Claude with specialized knowledge to architect, write, and debug robust test suites within any Python environment. It provides structured guidance on the Arrange-Act-Assert (AAA) pattern, advanced pytest features like fixtures and parameterization, and complex techniques for mocking external services or testing asynchronous operations. This skill is essential for developers looking to implement Test-Driven Development (TDD) or maintain high-quality, production-ready codebases through automated verification and meaningful coverage.

주요 기능

Standardized implementation of the Arrange-Act-Assert (AAA) testing pattern
Comprehensive support for testing async functions and environment variables
Advanced pytest fixture management for complex setup and teardown logic
1 GitHub stars
Sophisticated mocking and patching of external APIs and dependencies
Data-driven testing using parameterized inputs for broad coverage

사용 사례

Building unit and integration test suites for RESTful APIs and microservices
Implementing Test-Driven Development (TDD) workflows in new Python projects
Refactoring legacy codebases by introducing reliable safety nets and mocking

소개

주요 기능

Standardized implementation of the Arrange-Act-Assert (AAA) testing pattern
Comprehensive support for testing async functions and environment variables
Advanced pytest fixture management for complex setup and teardown logic
1 GitHub stars
Sophisticated mocking and patching of external APIs and dependencies
Data-driven testing using parameterized inputs for broad coverage

사용 사례

Building unit and integration test suites for RESTful APIs and microservices
Implementing Test-Driven Development (TDD) workflows in new Python projects
Refactoring legacy codebases by introducing reliable safety nets and mocking