Can I use this for testing async functions?

Absolutely, it includes specific patterns for testing asynchronous code and concurrent operations using pytest-asyncio.

Is it suitable for Test-Driven Development (TDD)?

Yes, the skill is designed to support TDD workflows by providing clear patterns for writing failing tests first and then implementing the minimum code to pass.

Does this skill support pytest?

Yes, it is primarily focused on pytest and leverages its advanced features like fixtures, parameterization, and markers.

How does this help with mocking external dependencies?

The skill provides templates for using unittest.mock to create mocks and patches, allowing you to isolate your code from external APIs, file systems, and databases.

Python Testing Patterns

Name: Python Testing Patterns
Author: EricGrill

byEricGrill

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セキュリティとテスト

Implements comprehensive Python testing strategies using pytest, fixtures, mocking, and advanced patterns for robust software quality.

概要

This skill provides a standardized framework for writing high-quality Python tests, guiding Claude through the implementation of unit, integration, and functional tests. It utilizes the AAA (Arrange, Act, Assert) pattern and includes specific implementations for complex scenarios such as mocking external APIs, managing database state via fixtures, and parameterizing test cases. By offering patterns for asynchronous operations and exception handling, it ensures that Python projects maintain high reliability, maintainability, and code coverage across diverse environments.

主な機能

Supports parameterization to test multiple data sets efficiently
Implements standard AAA (Arrange, Act, Assert) testing patterns
Enables sophisticated mocking of external dependencies and APIs
Includes patterns for testing asynchronous code and exception handling
2 GitHub stars
Provides advanced pytest fixture configurations for setup and teardown

ユースケース

Refactoring legacy code using test-driven development (TDD) principles
Mocking external HTTP requests and database connections in integration tests
Building a comprehensive test suite for a new Python backend service

概要

主な機能

Supports parameterization to test multiple data sets efficiently
Implements standard AAA (Arrange, Act, Assert) testing patterns
Enables sophisticated mocking of external dependencies and APIs
Includes patterns for testing asynchronous code and exception handling
2 GitHub stars
Provides advanced pytest fixture configurations for setup and teardown

ユースケース

Refactoring legacy code using test-driven development (TDD) principles
Mocking external HTTP requests and database connections in integration tests
Building a comprehensive test suite for a new Python backend service