Fake-Driven Testing for Python

About

Provides a comprehensive guide to a defense-in-depth testing strategy for Python, centered on using fast, in-memory fakes for the majority of tests. This skill outlines a five-layer testing architecture, from unit tests of fakes to full business logic integration tests, helping developers write robust, fast, and maintainable test suites. It is particularly useful when adding features, fixing bugs, or modifying gateway layers, ensuring high-quality testing practices are followed throughout the development lifecycle.

Key Features

• Includes step-by-step TDD workflows for features and bug fixes
• Defines a five-layer, defense-in-depth testing strategy
• Lists common testing patterns and anti-patterns to avoid brittle tests
• Provides architectural patterns for gateway layers (ABC/Real/Fake)
• 29 GitHub stars
• Offers decision trees to determine the correct location for new tests

Use Cases

• Structuring the testing suite for a new Python project
• Refactoring a slow or brittle test suite to improve speed and reliability
• Adding a new feature or fixing a bug following Test-Driven Development (TDD) principles