temporal-python-testing

Pytest-based testing strategies for Temporal workflows with time-skipping, mocking, and replay validation. Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios. Recommended Approach (Source: docs.temporal.io/develop/python/testing-suite): Three Test Types : This skill provides detailed guidance through progressive disclosure. Load specific resources based on your testing needs: File : resources/unit-testing.md When to load : Testing individual workflows or activities in isolation Contains : File : resources/integration-testing.md When to load : Testing workflows with mocked external dependencies Contains : File : resources/replay-testing.md When to load : Validating determinism or deploying workflow changes Contains : File : resources/local-setup.md When to load : Setting up development environment Contains : Recommended Coverage (Source: docs.temporal.io best practices): Load specific resource when needed : - Covers unit testing (WorkflowEnvironment with time-skipping), integration testing (mocked activities), and replay testing for determinism validation - Time-skipping enables month-long workflows to execute in seconds; ActivityEnvironment isolates activity logic for fast feedback - Includes progressive disclosure resources for unit testing, integration testing, replay testing, and local...