Another way for reusing DAGs not stated in docs

### What do you see as an issue? [In official docs](https://airflow.apache.org/docs/apache-airflow/stable/howto/dynamic-dag-generation.html) there have been stated several ways for dynamic DAGs generation. I found out another way which looks very convenient, so I'd like to get your opinion of it. ### Solving the problem ``` # reusable_dag.py import datetime from airflow.decorators import task from airflow import DAG DEFAULT_DAG_CONFIG = { 'schedule_interval': None, 'catchup': False, 'start_date': datetime.datetime.fromisoformat('2025-04-29'), 'default_args': { 'depends_on_past': False }, 'max_active_tasks': 1, 'max_active_runs': 1 } def reusable_dag_generator( dag_obj: DAG, printable_msg: str ): """Reusable dag generator used as a template for DAG generation""" with dag_obj: @task() def start_dag(): pass @task() def print_msg(): print(printable_msg) @task() def finish_dag(): pass start_dag() >> print_msg() >> finish_dag() return dag_obj # dag0.py from airflow import DAG from reusable_dag import reusable_dag_generator, DEFAULT_DAG_CONFIG dag = reusable_dag_generator( dag_obj=DAG( dag_id='test0', **DEFAULT_DAG_CONFIG ), printable_msg='Hello DAG0!' ) # dag1.py from airflow import DAG from reusable_dag import reusable_dag_generator, DEFAULT_DAG_CONFIG dag = reusable_dag_generator( dag_obj=DAG( dag_id='test1', **DEFAULT_DAG_CONFIG ), printable_msg='Hello DAG1!' ) ``` ### Anything else If provided way looks convenient, I would be glad to make a PR for docs enhancements. ### Are you willing to submit PR? - [x] Yes I am willing to submit a PR! ### Code of Conduct - [x] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)