Temporal Python Testing

About

This skill equips developers with a comprehensive framework for testing Temporal workflows using the Python SDK and pytest. It addresses the unique challenges of testing distributed stateful systems by providing standardized patterns for time-skipping long-running workflows, mocking external activities for isolated unit tests, and performing replay testing to ensure code changes maintain determinism. By integrating these strategies, developers can achieve high test coverage and ensure production reliability for complex orchestration logic.

Key Features

• Advanced activity mocking and environment simulation using ActivityEnvironment
• Determinism validation via production history replay testing
• Automated time-skipping for fast execution of long-running workflows
• Pre-configured pytest fixtures for rapid local development setup
• CI/CD integration patterns for automated testing pipelines
• 2 GitHub stars

Use Cases

• Testing month-long subscription or trial workflows in seconds
• Validating workflow determinism before deploying code changes to production
• Mocking external API dependencies to isolate workflow logic during integration tests