Temporal Python Testing Strategies

Temporal Python Testing Strategies

Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.

Do not use this skill when

• The task is unrelated to temporal python testing strategies
• You need a different domain or tool outside this scope

Instructions

• Clarify goals, constraints, and required inputs.
• Apply relevant best practices and validate outcomes.
• Provide actionable steps and verification.
• If detailed examples are required, open resources/implementation-playbook.md.

Use this skill when

• 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)