[I] Airflow `generate_run_id` with custom table doesn't work for backfill and manual trigger dag runs [airflow]

["infamax (via GitHub)" <gi...@apache.org>]

infamax opened a new issue, #56374:
URL: https://github.com/apache/airflow/issues/56374

   ### Apache Airflow version
   
   3.1.0
   
   ### If "Other Airflow 2 version" selected, which one?
   
   _No response_
   
   ### What happened?
   
   Hello!
   
   I create custom Timetable. In [doc](https://airflow.apache.org/docs/apache-airflow/stable/howto/timetable.html#changing-generated-run-id)  timetable has method for generate custom run_id. This feature works for scheduled runs but not working for manual and backfill trigger dag runs. 
   
   ### What you think should happen instead?
   
   Method `generate_run_id` for custom timetable work correct in backfill and manual triggers modes.
   
   ### How to reproduce
   
   Write airflow plugins with custom Timetable. File location in plugins folder and name `my_timetable.py`. Example like this
   
   ```python
   from airflow.plugins_manager import AirflowPlugin
   from airflow.timetables.base import DataInterval
   from airflow.timetables.events import EventsTimetable
   from airflow.utils.types import DagRunType
   from pendulum import DateTime
   
   class MyTimeTable(EventsTimetable):
       def generate_run_id(self, *, run_type: DagRunType, run_after: DateTime, data_interval: DataInterval, **kwargs):
           return data_interval.end.format("YYYY-MM-DD")
   
   class MyTimeTablePlugin(AirflowPlugin):
       name = "my_timetable_plugin"
       timetables = [MyTimeTable]
   ```
   
   Write a simple dag using this timetable. Example like this
   ```
   import pendulum
   
   from airflow.sdk import DAG
   from airflow.providers.standard.operators.bash import BashOperator
   from my_timetable import MyTimeTable
   
   event_dates = [
       pendulum.datetime(2025, 9, 5, 8, 27, 15),
       pendulum.datetime(2025, 9, 10, 10, 27, 15),
       pendulum.datetime(2025, 10, 5, 8, 27, 15),
   ]
   
   start_date = pendulum.datetime(2022, 1, 1)
   
   
   with DAG(dag_id="my_dag", start_date=start_date, schedule=EventsTimetable(event_dates=event_dates, restrict_to_events=True):
       bash_operator = BashOperator(task_id="hello", bash_command="echo hello")
       bash_operator
   ```
   
   When run this code for schedule `run_id` for generate dag is correct. But when is using backfill added prefix `backfill__`  but timetable method `generate_run_id` not add this prefix :( 
   
   ### Operating System
   
   Ubuntu 22.04
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Official Apache Airflow Helm Chart
   
   ### Deployment details
   
   _No response_
   
   ### Anything else?
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [ ] 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)
   


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Re: [I] Airflow `generate_run_id` with custom table doesn't work for backfill and manual trigger dag runs [airflow]

["NilsJPWerner (via GitHub)" <gi...@apache.org>]

NilsJPWerner commented on issue #56374:
URL: https://github.com/apache/airflow/issues/56374#issuecomment-3367777012

   Duplicate: https://github.com/apache/airflow/issues/55908


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Re: [I] Airflow `generate_run_id` with custom table doesn't work for backfill and manual trigger dag runs [airflow]

["eladkal (via GitHub)" <gi...@apache.org>]

eladkal closed issue #56374: Airflow `generate_run_id` with custom table doesn't work for backfill and manual trigger dag runs
URL: https://github.com/apache/airflow/issues/56374


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Re: [I] Airflow `generate_run_id` with custom table doesn't work for backfill and manual trigger dag runs [airflow]

["boring-cyborg[bot] (via GitHub)" <gi...@apache.org>]

boring-cyborg[bot] commented on issue #56374:
URL: https://github.com/apache/airflow/issues/56374#issuecomment-3367062443

   Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.
   


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