Hi,
a suggestion to make this process easier:
a folder could be created called `models`. The `models.py` could then moved
into that folder and renamed to `__init__.py`. That way, all the other parts
of airflow can be left untouched - it is still possible to run
`from models import `
In
Hi,
I am currently working on Airflow Tasks that would need to trigger other
DagRuns for the past, i.e. for specific execution dates. However, the current
implementation of TriggerDagRunOperator does not allow this, while manual
triggering via the CLI does. There are also questions on SO [2]
