temporal-python-testing

# 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 - Time-skipping enables fast feedback (month-long workflows → seconds) - Mock activities to isolate workflow logic - Validate determinism with replay testing **Three Test Types**: 1. **Unit**: Workflows with time-skipping, activities with ActivityEnvironment 2. **Integration**: Workers with mocked activities 3. **End-to-end**: Full Temporal server with real activities (use sparingly) ## Available Resources This skill provides detailed guidance through progressive disclosure. Load specific resources based on your testing needs: ### Unit Testing Resources **File**: `resources/unit-testing.md` **When to load**: Testing individual workflows or activities in isolation **Contains**: - WorkflowEnvironment with time-skipping - ActivityEnvironment f...