py-testing-async

Database isolation in async tests keeps test runs consistent by applying strategies that separate database interactions. Using pytest-asyncio fixtures, you can manage transactional boundaries and roll back changes to prevent data leakage between tests.

Yes, you can use httpx AsyncClient with pytest-asyncio to test HTTP clients and multi-step service flows. The skill provides patterns for configuring async fixtures that yield an AsyncClient for making awaited HTTP requests in integration tests.

Mocking async functions in pytest involves patching asynchronous services to return predetermined values or coroutines. The skill provides best practices for mocking async functions, ensuring your unit tests remain isolated and deterministic without hitting live external dependencies.

SQLAlchemy or SQLModel are optional dependencies required only if you are specifically testing asynchronous database interactions. The core async testing patterns, HTTP client testing, and mocking features work independently without requiring an async ORM framework.

Async fixture event loop errors occur when fixtures operate on incompatible event loops or lack proper async markers. Configuring pytest-asyncio correctly and defining fixtures with appropriate async scope ensures the test suite shares the event loop reliably.