temporal-python-testing

You can test Temporal workflows in Python without a live server by using pytest with mocking strategies. This approach ensures code reliability by validating workflow logic and performance under different scenarios locally.

Yes, you can use pytest to test long-running Temporal workflows faster by utilizing time-skipping. This feature allows you to quickly test individual workflows in isolation without waiting for real time to pass.

Mock activities for Temporal workflow integration testing by executing workflows with mocked dependencies. This ensures the core logic works as expected without requiring external services or a live Temporal server.

Yes, Temporal Python testing supports replay testing to validate determinism. This ensures that changes to your workflow code will not break existing workflows by replaying their execution history.

To set up a local development environment for Temporal and pytest, you need the temporalio and pytest-asyncio dependencies. This provides the necessary integration for local testing and execution of your workflows.