potiuk 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_r363108740
########## 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 +for the documentation, or send another without having to send the DAG file and install the application at +the other person. However, you need to have `Graphviz <https://graphviz.gitlab.io/download/>`_ installed. + +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 + +After passing the ``dag_id`` parameter itself, the command will print DAG to the screen in the DOT format. + +It is possible to save the file in a different format. To do this, add the switch ``--save [filename].[format]``. +If you want to save files as PNG, you can use the following command: + +.. code-block:: bash + + airflow dags show example_gcp_datacatalog --save example_gcp_datacatalog.png + +An example image file may look as follow: + +.. figure:: img/usage_cli_export.png + :width: 100% + + Example DAG representation + +The following file formats are supported: Review comment: OK. ---------------------------------------------------------------- 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
