pcs-integration-test

Deterministic integration testing for async microservices uses async fixtures with an in-memory SQLite database to create fast, isolated test environments. This approach ensures reliable execution by mocking external dependencies like Kafka and overriding service dependencies.

Cross-tenant isolation testing validates that data remains segregated across tenants by applying tenant header helpers and dependency override patterns. This ensures multi-tenant PCS services correctly enforce boundaries during integration tests.

Mocking Kafka in pytest-asyncio integration tests is handled through dedicated Kafka mock strategies. These strategies validate messaging behavior and cross-tenant isolation without requiring a live broker, ensuring test suite determinism.

Yes, running PCS integration tests requires pytest-asyncio, AsyncClient, and the SQLAlchemy async engine. A minimal conftest pattern boots the application using these tools alongside in-memory SQLite to enable isolated async testing.

In-memory SQLite provides a fast, isolated database environment for pytest microservice integration testing. It eliminates disk I/O latency and allows each test run to start with a clean state, ensuring deterministic and repeatable results.

Yes, dependency overrides allow you to test tenant headers in FastAPI async tests by intercepting request flows. Combined with async fixtures, this pattern securely simulates multi-tenant contexts without modifying production code.