Can it help me mock external database connections?

Absolutely. It includes patterns for using unittest.mock and monkeypatch to isolate your code from external databases and third-party APIs.

What is the recommended test structure provided by this skill?

The skill promotes the Arrange-Act-Assert (AAA) pattern to ensure that every test is clearly structured, readable, and focused on a single responsibility.

Does this skill support the pytest framework?

Yes, this skill is specifically optimized for pytest, providing patterns for fixtures, parameterization, and pytest-specific configurations.

Does it support testing for modern async Python code?

Yes, it provides specialized patterns for testing asynchronous functions and concurrent operations using pytest-asyncio.

Python Testing Patterns

Name: Python Testing Patterns
Author: 3commas-io

by3commas-io

セキュリティとテスト

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

概要

Python Testing Patterns is a comprehensive skill designed to help developers build robust, maintainable, and high-coverage test suites. It provides expert guidance on using the pytest framework, implementing the Arrange-Act-Assert (AAA) pattern, and managing complex dependencies through fixtures and mocking. Whether you are writing simple unit tests, handling asynchronous operations, or setting up complex integration tests for APIs, this skill ensures your testing infrastructure follows industry-standard patterns for isolation and reliability.

主な機能

Advanced mocking and patching of external dependencies
Support for testing async code and concurrent operations
0 GitHub stars
Pytest implementation and configuration expertise
Data-driven testing with parameterized inputs
Reusable fixture patterns for setup and teardown

ユースケース

Mocking external API responses and database layers
Implementing Test-Driven Development (TDD) workflows
Building unit tests for complex business logic

概要

主な機能

Advanced mocking and patching of external dependencies
Support for testing async code and concurrent operations
0 GitHub stars
Pytest implementation and configuration expertise
Data-driven testing with parameterized inputs
Reusable fixture patterns for setup and teardown

ユースケース

Mocking external API responses and database layers
Implementing Test-Driven Development (TDD) workflows
Building unit tests for complex business logic