tatiana commented on issue #51644: URL: https://github.com/apache/airflow/issues/51644#issuecomment-2969614191
I believe the `airflow dags test` or the `dag.test()` method is one of the most valuable tools Airlfow offers to end-users. It empowers any DAG author or Airflow provider developer who wants to efficiently validate the behaviour of a DAG without the overhead of using the Airflow UI. It also enables smooth development and troubleshooting without relying on multiple processes or containers - you can easily use the Python standard library's `breakpoint` to troubleshoot. Finally, they enable users to conduct effective integration tests that can be run in the CI, providing confidence that, from a DAG logic perspective, things will behave as expected when orchestrated by Airlfow. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
