testing-backend-python

FastAPI endpoint testing uses pytest-asyncio with httpx AsyncClient to execute asynchronous integration tests. The Skill provides sample patterns for validating API responses, applying standardized naming conventions, and structuring endpoint test suites across Python backend projects.

Unit testing Python backend services uses pytest with pytest-mock to test domain logic, services, and repositories. This Skill provides standardized test structure, fixture management guidance, and naming conventions to maintain reliable coverage across Python backend codebases.

pytest-asyncio is required for testing asynchronous Python backend code. The Skill includes it as a core dependency alongside pytest, pytest-mock, and httpx AsyncClient to support both unit testing and integration testing of async FastAPI endpoints.

Python backend testing with pytest uses fixtures and pytest-mock to isolate services and repositories during unit tests. The Skill provides structured guidance on fixture management, mock validation, and naming conventions to ensure consistent test patterns across Python projects.

This pytest testing approach supports both unit and integration tests for Python backends. The Skill covers unit testing for domain logic and services alongside integration testing for FastAPI endpoints using httpx AsyncClient, providing sample patterns for both levels.

FastAPI integration testing with httpx AsyncClient requires pytest-asyncio configuration for async test execution. The Skill addresses this by providing standardized project structure, naming conventions, and sample test patterns to ensure proper async client setup and fixture validation.