temporal-python-testing
Pytest-based testing strategies for Temporal workflows with time-skipping, mocking, and replay validation.
- 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 Temporal server setup
- Recommends ≥80% coverage targets and provides pytest fixtures, error injection patterns, and CI/CD integration guidance
Temporal Python Testing Strategies
Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.
When to Use This Skill
- Unit testing workflows - Fast tests with time-skipping
- Integration testing - Workflows with mocked activities
- Replay testing - Validate determinism against production histories
- Local development - Set up Temporal server and pytest
- CI/CD integration - Automated testing pipelines
- Coverage strategies - Achieve ≥80% test coverage
Testing Philosophy
Recommended Approach (Source: docs.temporal.io/develop/python/testing-suite):
- Write majority as integration tests
- Use pytest with async fixtures
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