episteme-graph-ci-tests

Automated pytest test generation targets modified API routes, Pydantic schemas, and agent logic to create corresponding unit tests. It identifies missing test coverage and generates appropriate test patterns whenever the backend codebase is modified.

Updating unit tests when modifying Pydantic schemas prevents regressions in business logic. Automated test generation ensures that changes to schemas or ORM models are accompanied by updated test cases to maintain CI quality gates.

You can validate Python agent logic without external service dependencies by integrating with unittest.mock. This approach mocks external services to test business logic in isolation, ensuring reliable and fast CI test execution.

The best way to maintain CI quality gates after adding a new agent is triggering automated test generation. It creates a full test suite covering the new agent's validation and input building logic, ensuring all new code paths are tested.

Automated test generation works directly with existing pytest suites by generating compatible unit test patterns. It targets code changes within the backend and uses unittest.mock to validate business logic without requiring external service dependencies.