integration-test-writer

Integration tests verify end-to-end behavior across API endpoints, databases, and services by testing actual component interactions rather than mocked units. Use pytest with FastAPI and SQLAlchemy to scaffold tests that seed data, override dependencies, and validate error propagation across system boundaries.

Set up reproducible test environments using pytest fixtures to manage database state, dependency injection to override services, and httpx clients to test API endpoints. This approach isolates integration tests from external services while verifying real interactions between components.

Yes. pytest with FastAPI supports testing authentication flows, authorization logic, and external service integrations through fixture-based dependency overrides and HTTP client mocking, enabling comprehensive integration tests across security and service boundaries.

Define integration points (APIs, databases, services), identify test strategies for multi-component workflows, then use template code samples for pytest and FastAPI to scaffold test files. An integration test plan documents the end-to-end scenarios and boundary conditions to verify.

Integration tests run slower and require real or reproducible environments (databases, services), but catch errors unit tests miss: configuration issues, boundary misalignments, and error propagation. Use both; integration tests verify system correctness while unit tests validate component logic.

Integration tests require reproducible test data and environments. Use SQLAlchemy fixtures to manage test databases, dependency overrides to replace external services with mocks, and httpx clients to test API endpoints without external dependencies.