Temporal Python Testing

The temporal-python-testing skill enables AI agents to execute Python code within the Temporal.io workflow orchestration platform. It facilitates robust testing of complex, stateful workflows and activities directly from prompts.

When to use it

• Validate logic in long-running background jobs before deploying to production environments.
• Debug failing activity executions by running isolated test cases against your workflow definitions.
• Verify that temporal schedules and cron triggers behave as expected during development cycles.
• Run integration tests that simulate real-world event sequences without requiring a full cluster setup.

Key capabilities

• Execute Python scripts within the Temporal testing environment.
• Interact with Temporal's core SDK for workflow and activity definitions.
• Support for mocking external dependencies to ensure isolated test runs.
• Generate detailed logs and assertions for failed workflow executions.

Example prompts

• "Write a Python test case using Temporal SDK to verify that an order processing workflow handles timeout exceptions correctly."
• "Create a unit test for a scheduled activity that simulates a delayed payment trigger in Temporal."
• "Generate a script to run integration tests on my Temporal workflow definition, asserting correct state transitions after each step."

Tips & gotchas

Ensure your Python environment includes the temporalio package and matches the version used in your production cluster. This skill is designed for development and testing scenarios; it does not replace full-scale end-to-end testing with actual workflow executions on a live Temporal server.