Can I use this skill to test asynchronous Python code?

Absolutely. It includes specific patterns and best practices for testing async functions and concurrent operations using pytest-asyncio.

How does this skill handle external dependencies like APIs or databases?

The skill provides patterns for mocking and monkeypatching using unittest.mock and pytest's monkeypatch fixture to isolate your code from external side effects.

What is the AAA pattern used in these testing strategies?

The AAA pattern stands for Arrange, Act, and Assert. It is a standard organizational structure that makes tests more readable by clearly separating setup, execution, and verification.

Does this skill support the pytest framework?

Yes, this skill is primarily designed around pytest, utilizing its powerful features like fixtures, markers, and parameterization for modern Python testing.

Python Testing Patterns

Name: Python Testing Patterns
Author: HermeticOrmus

byHermeticOrmus

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보안 및 테스팅

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

소개

This skill provides Claude Code with a comprehensive framework for writing high-quality Python tests, covering everything from basic unit tests to complex integration scenarios. It standardizes the use of the pytest framework, guiding the implementation of the AAA (Arrange, Act, Assert) pattern, fixture management, and sophisticated mocking techniques. By incorporating advanced concepts like asynchronous testing, parameterization, and property-based testing, it ensures that Python applications are reliable, maintainable, and backed by a meaningful test suite.

주요 기능

Comprehensive pytest implementation patterns and best practices
2 GitHub stars
Advanced mocking techniques using unittest.mock and patch decorators
Scalable fixture management for complex setup and teardown workflows
Dedicated support for testing asynchronous code and concurrent operations
Detailed strategies for parameterized testing and exception handling

사용 사례

Building a robust unit and integration test suite for new Python microservices
Refactoring legacy Python codebases using Test-Driven Development (TDD) principles
Simulating external API dependencies to ensure isolated and deterministic test runs

소개

주요 기능

Comprehensive pytest implementation patterns and best practices
2 GitHub stars
Advanced mocking techniques using unittest.mock and patch decorators
Scalable fixture management for complex setup and teardown workflows
Dedicated support for testing asynchronous code and concurrent operations
Detailed strategies for parameterized testing and exception handling

사용 사례

Building a robust unit and integration test suite for new Python microservices
Refactoring legacy Python codebases using Test-Driven Development (TDD) principles
Simulating external API dependencies to ensure isolated and deterministic test runs