temporal-python-testing

To test Temporal workflows with pytest using time-skipping, execute workflows instantly to simulate long-running processes. This approach drastically reduces test execution time while validating workflow logic without waiting for actual time to pass.

Temporal replay testing validates workflow determinism by replaying code changes against production histories. You need replay testing when modifying workflow logic to ensure existing executions remain deterministic and backward-compatible with previously recorded event histories.

Yes, you can mock activities in Temporal workflow integration tests to isolate workflow logic. Mocking external dependencies allows you to verify interactions with external services without making real network calls during test execution.

Set up a local Temporal server for pytest integration testing by configuring a local development environment. This provides a robust testing environment to validate workflow and activity interactions before deployment.

The best way to ensure Temporal workflow determinism in Python is combining unit tests with time-skipping and replay testing. Replay testing validates code changes against production histories, confirming workflows remain deterministic across updates.

Temporal workflow tests hang during long-running process simulation when time-skipping is not enabled. Enable time-skipping in your pytest configuration to execute workflows instantly, bypassing real-time delays and drastically reducing test execution time.