python-testing

Topics in the source

• Python Testing Patterns
• When to Activate
• Core Testing Philosophy
• Test-Driven Development (TDD)
• Coverage Requirements
• pytest Fundamentals
• Basic Test Structure
• Assertions

Comprehensive testing strategies for Python applications using pytest, TDD methodology, and best practices. Writing new Python code (follow TDD: red, green, refactor) Designing test suites for Python projects Reviewing Python test coverage Setting up testing infrastructure Always follow the TDD cycle: 1. RED: Write a failing test for the desired behavior 2. GREEN: Write minimal code to make the test pass 3. REFACTOR: Improve code while keeping tests green Target: 80%+ code coverage Critical paths: 100% coverage required Use pytest --cov to measure coverage ASGITransport does not run lifespan events. Install asgi-lifespan and wrap the client in LifespanManager when the app uses startup or shutdown handlers. See FastAPI's async testing guidance. Follow TDD: Write tests before code (red-green-refactor) Test one thing: Each test should verify a single behavior Use descriptive names: testuserloginwithinvalidcredentialsfails Use fixtures: Eliminate duplication with fixtures Mock external dependencies: Don't depend on external services Test edge cases: Empty inputs, None values, boundary conditions Aim for 80%+ coverage: Focus on critical paths Keep tests fast: Use marks to separate slow

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