temporal-python-testing

You test Temporal Python workflows by writing isolated unit tests with pytest using time-skipping to fast-forward long-running executions, and mocking activities to validate external dependencies and error injection.

Replay testing in Temporal validates workflow determinism by replaying production event histories against your current code, and you need it to ensure code changes remain safe for production deployment without breaking existing executions.

Yes, you can mock activities for Temporal integration testing by injecting external dependency mocks and simulating error conditions, allowing you to test workflow logic comprehensively without hitting real external APIs.

The best way to set up a local Temporal environment for testing is using Docker Compose to run the Temporal server, paired with pytest to execute your workflow and activity test suites seamlessly during local development.

Temporal workflow tests fail determinism checks when workflow code performs non-deterministic operations, and you can validate your code changes against production histories using replay testing to identify and resolve these determinism violations.

Yes, the Temporal Python SDK supports time-skipping for unit tests, allowing you to automatically fast-forward time in isolated workflow tests so long-running executions complete in seconds without waiting for real timers.