ashb opened a new pull request, #46265:
URL: https://github.com/apache/airflow/pull/46265

   Closes #45426
   
   Some points of note about this PR:
   
   - Logging is changed in Celery, but only for Airflow 3
   
     Celery does it's own "capture stdout" logging, which conflicts with the 
ones
     we do in the TaskSDK, so we disable that; but to not change anything for
     Airflow 3.
   
   - Simplify task SDK logging redirection
   
     As part of this discovery that Celery captures stdout/stderr itself (and
     before disabling that) I discovered a simpler way to re-open the
     stdin/out/err so that the implementation needs fewer/no special casing.
   
   - Make JSON task logs more readable by giving them a consistent/useful order
   
     We re-order (by re-creating) the event_dict so that timestamp, level, and
     then even are always the first items in the dict
   
   - Makes the CeleryExecutor understand the concept of "workloads" instead a
     command tuple.
   
     This change isn't done in the best way, but until Kube executor is swapped
     over (and possibly the other in-tree executors, such as ECS) we need to
     support both styles concurrently.
   
     The change should be done in such a way that the provider still works with
     Airflow v2, if it's running on that version.
   
   - Upgrade Celery
   
     This turned out to not be 100% necessary but it does fix some deprecation
     warnings when running on Python 3.12
   
   - Ensure that the forked process in TaskSDK _never ever_ exits
   
     Again, this isn't possible usually, but since the setup step of 
`_fork_main`
     died, it didn't call `os._exit()`, and was caught further up, which meant
     the process stayed alive as it never closed the sockets properly. We put 
and
     extra safety try/except block in place to catch that
   
   I have not yet included a newsfragment for changing the executor interface as
   the old style is _currently_ still supported.
   
   
   Testing: I ran `airflow scheduler`, `airflow fastapi-api`, and `airflow 
celery
   worker` and triggered some dags, viewed logs etc.
   
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