Temporal Python Testing

关于

This skill provides a comprehensive framework for testing Temporal workflows in Python, emphasizing fast execution and high reliability. It guides developers through unit, integration, and replay testing, leveraging advanced features like time-skipping to compress month-long workflows into seconds. By providing specific resources for mocking activities, validating determinism, and setting up local development environments with Docker, it enables engineering teams to achieve high code coverage and prevent regressions in complex distributed systems.

主要功能

• Activity mocking strategies to isolate workflow logic from external dependencies
• Standardized coverage targets and CI/CD integration patterns
• Time-skipping capabilities to test long-running workflows in seconds
• 23,139 GitHub stars
• Async pytest fixtures and ActivityEnvironment configurations
• Replay testing patterns to validate workflow determinism before deployment

使用场景

• Validating workflow determinism against production history files to prevent deployment failures
• Setting up a local development and testing environment using Docker and pytest
• Testing complex business logic that spans long durations without waiting for real-time passage