temporal-python-testing

Test Temporal Python workflows and activities with pytest by leveraging time-skipping and mock environments. This approach isolates workflow logic and verifies complex orchestration behavior without waiting for real time to pass.

Replay testing for Temporal workflows works by replaying production event histories against your updated workflow code. This ensures backward compatibility and determinism, verifying that new code changes process existing production data without introducing regressions.

Yes, you can set up a local Temporal environment for integration testing using Docker Compose. This allows you to test workflows with mocked external dependencies and verify complex orchestration logic seamlessly before deployment.

Time-skipping in Temporal unit testing is a mechanism that fast-forwards simulated time during workflow execution. It allows tests to instantly complete long-running workflows and validate time-dependent logic without delaying the test suite.

Temporal workflow replay testing fails after an update due to non-deterministic changes in the workflow code. Replay testing enforces backward compatibility by checking new code against production histories, failing when event sequences mismatch.