python-testing

Shared fixtures in pytest are defined in a conftest.py file. This file automatically provides reusable test data and setup logic across multiple test modules without needing explicit imports, streamlining integration and unit test management.

The best way to structure integration tests for databases and APIs is to balance them with unit tests. Using pytest fixtures to manage database transactions and mock external API calls ensures your integration tests remain isolated, reliable, and maintainable.

Testing asynchronous Python code with pytest involves using async-compatible fixtures and test marks. You can define async test functions to directly await coroutines, validating database connections and API endpoints without blocking the event loop.

Mocking in pytest isolates unit tests by replacing external dependencies with simulated objects. You can patch functions or classes during test execution to verify specific interactions and return values without triggering real database or API calls.

Pytest works well for both unit and integration testing by leveraging fixtures and conftest.py. It provides structured testing approaches that ensure code quality across different test distribution layers, from isolated functions to full API and database integration.