[I] Task assigned with queue "heavy" landed on worker assigned to "default" queue [airflow]

[via GitHub]

pedro-cf opened a new issue, #42894:
URL: https://github.com/apache/airflow/issues/42894

   ### Apache Airflow version
   
   2.10.2
   
   ### If "Other Airflow 2 version" selected, which one?
   
   _No response_
   
   ### What happened?
   
   I'm currently using an airflow instance setup with `CeleryExecutor`.
   
   I have a task assigned to a "heavy" queue:
   
   ```python
       @task.virtualenv(
           trigger_rule=TriggerRule.NONE_FAILED_MIN_ONE_SUCCESS,
           requirements=[
               "my_package=1.1.1"
           ],
           index_urls=["my_index_url"],
           venv_cache_path="/tmp",
           queue="heavy"
       )
       def my_task(arg1, arg2, params=None):
           ...
   ```
   
   but for some reason the task is running on a worker configured to only 
handle the default queue?
   
   Worker Queues in flower:
   
![image](https://github.com/user-attachments/assets/64b9b6a8-2c9c-40f1-a55b-518452999852)
   
   DAG RUN details:
   
![image](https://github.com/user-attachments/assets/036ccc27-33eb-4047-861c-ca065eae8750)
   
   
   
   ### What you think should happen instead?
   
   Tasks assigned to a specific queue should only run in workers assigned to 
that specific queue.
   
   ### How to reproduce
   
   Not sure how.
   
   ### Operating System
   
   Ubuntu 22
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Docker-Compose
   
   ### Deployment details
   
   `CeleryExecutor`
   2 workers:
   ```
   celery worker --concurrency ${DEFAULT_WORKER_CONCURRENCY}
   celery worker -q heavy --concurrency ${HEAVY_WORKER_CONCURRENCY}
   ```
   
   ### 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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