Implements robust testing strategies for Temporal workflows using pytest, time-skipping, and activity mocking.
This skill provides a comprehensive framework for testing Temporal workflows within the Python ecosystem. It enables developers to implement fast unit tests using time-skipping, isolate workflow logic through sophisticated activity mocking, and ensure production-readiness with replay testing for determinism validation. Whether you are setting up a local development environment or integrating automated tests into a CI/CD pipeline, this skill offers the patterns and fixtures needed to achieve high test coverage for complex, long-running distributed processes.
주요 기능
01Virtual time-skipping to test month-long workflows in seconds
02Async pytest fixtures for automated Temporal environment setup
030 GitHub stars
04Activity mocking and error injection for isolated integration testing
05Replay testing to validate workflow determinism against production history
06Pre-configured local development setups including Docker Compose
사용 사례
01Validating workflow versioning and compatibility before deploying code changes
02Simulating external service failures to verify workflow retry and compensation logic
03Testing complex business logic in long-running workflows without real-time waiting
