Can I use this skill for testing asynchronous Python code?

Yes, it includes specific patterns for testing async functions and concurrent operations using tools like pytest-asyncio.

What testing framework does this skill focus on?

This skill focuses primarily on pytest, the industry standard for Python, covering everything from simple assertions to complex fixtures and plugins.

Does it support Test-Driven Development (TDD)?

Absolutely. It promotes TDD by providing clear structures for writing tests before implementation and using the AAA (Arrange-Act-Assert) pattern.

How does it handle external dependencies?

The skill provides detailed patterns for mocking and patching external dependencies using unittest.mock to ensure your tests remain fast and isolated.

Python Testing Patterns

Name: Python Testing Patterns
Author: HermeticOrmus

byHermeticOrmus

安全与测试

Implements comprehensive Python testing strategies using pytest, advanced mocking, and test-driven development best practices.

关于

Python Testing Patterns is a specialized skill designed to help developers build robust, reliable software by implementing professional-grade testing suites. It provides structured guidance on using pytest, from basic unit tests to advanced concepts like fixtures, parameterization, and monkeypatching. This skill is particularly useful when architecting complex systems that require isolated testing, mocking of external dependencies, or verification of asynchronous operations, ensuring your Python code remains maintainable and bug-free throughout the development lifecycle.

主要功能

0 GitHub stars
Implementation of the Arrange-Act-Assert (AAA) test structure
Parameterized testing for high-coverage validation scenarios
Advanced mocking patterns for external APIs and database dependencies
Full pytest integration including fixtures and session-scoped setups
Support for testing asynchronous code and concurrent operations

使用场景

Mocking complex third-party services and APIs to enable isolated testing
Building a comprehensive unit and integration test suite for a new Python backend
Refactoring legacy codebases using Test-Driven Development (TDD) patterns

关于

主要功能

0 GitHub stars
Implementation of the Arrange-Act-Assert (AAA) test structure
Parameterized testing for high-coverage validation scenarios
Advanced mocking patterns for external APIs and database dependencies
Full pytest integration including fixtures and session-scoped setups
Support for testing asynchronous code and concurrent operations

使用场景

Mocking complex third-party services and APIs to enable isolated testing
Building a comprehensive unit and integration test suite for a new Python backend
Refactoring legacy codebases using Test-Driven Development (TDD) patterns