Airflow packaged DAGs seem like a great building block for a sane production airflow deployment.
I have a DAG with dynamic subDAGs, driven by a config file, something like:
config.yaml:
imports:
- project_foo
- project_bar`
which yields subdag tasks like imports.project_{foo|bar}.step{1|2|3}
.
I've normally read in the config file using python's open
function, a la config = open(os.path.join(os.path.split(__file__)[0], 'config.yaml')
Unfortunately, when using packaged DAGs, this results in an error:
Broken DAG: [/home/airflow/dags/workflows.zip] [Errno 20] Not a directory: '/home/airflow/dags/workflows.zip/config.yaml'
Any thoughts / best practices to recommend here?