py-integration-test

You can run integration tests for FastAPI by spinning up real PostgreSQL and Redis instances using testcontainers-python, validating repository layers and end-to-end HTTP flows with production-like dependencies. Reusable pytest fixtures manage the container lifecycles and database migrations automatically.

The best way to isolate database transactions during pytest integration testing is to use reusable fixtures that wrap each test in a transactional scope. This ensures tests roll back automatically, maintaining database state isolation against real PostgreSQL instances.

Yes, testcontainers works with async SQLAlchemy for Python integration tests by provisionally starting a real PostgreSQL container. The provided pytest fixtures handle the async engine configuration to validate business logic against a live database.

You should use real dependencies instead of mocks for Python service testing to ensure end-to-end correctness across the stack. Testing against real PostgreSQL and Redis services validates repository logic, API flows, and migrations with high confidence in production-like environments.

Yes, you can automate database migration testing using pytest and testcontainers by spinning up a real PostgreSQL container per test session. The fixtures apply migrations to verify schema changes and data integrity against a live database instance.

Yes, you need Docker installed to run integration tests with testcontainers because the framework dynamically provisions and tears down real PostgreSQL and Redis containers during the pytest execution lifecycle.