mik-laj edited a comment on issue #13653:
URL: https://github.com/apache/airflow/issues/13653#issuecomment-763555707
DAG can be parameterized with `conf` parameters. To access configuration in
your DAG use `{{ dag_run.conf }}`. Additionally, you can define a default
value for this parameter with `DAG.params`
https://github.com/apache/airflow/blob/b4c8a0406e88f330b38e8571b5b3ea399ff6fe7d/airflow/www/views.py#L1420
> What information is saved when a parameter is defined? Its name, its
type, its description? Anything else? At the very least, I would think we would
need these 3 pieces of information per parameter.
This information is not saved anywhere because Airflow is flexible and you
could pass on any object that didn't have to be strictly structured.
> As I can understand, it's just a mapping, nothing more. I
This is mapping, where the key must be string type and the value can be any
type supported by JSON [int/array/object/string/bool/float]
If you need additional documentation for parameters, you can add them to the
DAG documentation (``DAG.doc_md``).
https://github.com/apache/airflow/blob/b4c8a0406e88f330b38e8571b5b3ea399ff6fe7d/airflow/www/views.py#L1413-L1414
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