nuclearpinguin commented on a change in pull request #7014: [AIRFLOW-XXXX] Add `airflow dags show` command guide URL: https://github.com/apache/airflow/pull/7014#discussion_r362794892
########## File path: docs/usage-cli.rst ########## @@ -68,3 +68,94 @@ If you’re using ``zsh``, add the following to your ``.zshrc``: autoload bashcompinit bashcompinit eval "$(register-python-argcomplete airflow)" + +Exporting DAGs to images +------------------------ + +The application has the functionality of saving DAG to image file. You can attach them to the documentation +or share with other people without having to send the DAG file and need to install the application. +However, you need to have `Graphviz <https://graphviz.gitlab.io/download/>`_ installed to generate it. + +For example, if you want to export ``example_gcp_datacatalog`` DAG then you can use the following command: + +.. code-block:: bash + + airflow dag show example_gcp_datacatalog Review comment: Should we use more generic example? Not all users have to have GCP installed. Additionally, where should be the DAG file? Does this work only for DAGs in `AIRFLOW__CORE__DAGS_FOLDER`? ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
