temporal-python-testing

You can test Temporal Python workflows and activities in isolation by using time-skipping and mock environments to validate individual components without external dependencies.

Set up a local Temporal server for pytest integration testing using Docker Compose, allowing you to validate workflow orchestration with mocked external dependencies.

Replay testing for Temporal Python replays production histories against new code to ensure backward compatibility. You need it to guarantee safe code evolution in production environments.

Validate determinism in Temporal Python workflows through advanced mocking techniques and replay testing strategies to ensure consistent execution and safe version compatibility.

Yes, you can use pytest with Temporal Python for local development by configuring the framework to work with a local Temporal server set up via Docker Compose.

Ensure backward compatibility when updating Temporal Python workflows by performing replay testing, which replays production histories to verify that code changes maintain version compatibility.