pavelpi opened a new issue, #45925:
URL: https://github.com/apache/airflow/issues/45925

   ### Apache Airflow version
   
   2.10.4
   
   ### If "Other Airflow 2 version" selected, which one?
   
   _No response_
   
   ### What happened?
   
   Having following DAG:
   
   ```python
   from datetime import datetime
   from airflow.operators.python import PythonOperator
   from airflow import DAG
   import time
   
   
   def wait_callable():
       for i in range(1, 30):
           print(f'sleep #{0}', i)
           time.sleep(1)
   
   
   default_args = {
       'owner': 'airflow',
       'start_date': datetime(2020, 3, 4)
   }
   
   dag = DAG("wait_dag_python",
             default_args=default_args,
             schedule=None)
   
   
   wait_task = PythonOperator(
       task_id='wait_task',
       python_callable=wait_callable,
       dag=dag
   )
   ```
   
   This task is made to finish after 30s and it prints output every 1s.
   On Airflow UI when I mark the task as failed, it is marked as red and the 
DAG finishes in failed state. However when I refresh the page later (after 
30s), the DAG is green and the logfile shows that the task finished 
successfully with all logs (one per second)
   
   
![Image](https://github.com/user-attachments/assets/d79fd74e-31a1-4fac-a3a5-87716c8329d2)
   
   
![Image](https://github.com/user-attachments/assets/95178e6d-cf20-4ca8-94f4-43d47ef4ab16)
   
   scheduler log:
   
   
[scheduler_log.txt](https://github.com/user-attachments/files/18503709/scheduler_log.txt)
   
   same happens in 2.7.3 and 2.10.4
   
   ### What you think should happen instead?
   
   UI should be more consistent if this is as designed. Now it is confusing.
   The user should have an option to terminate the task if it got stuck. This 
is especially needed for KubernetesPodOperator tasks where this could happen 
easily.
   
   ### How to reproduce
   
   Run the DAG above. Mark the task as failed while it is running. Refresh the 
page in 30s
   
   ### Operating System
   
   Ubuntu
   
   ### Versions of Apache Airflow Providers
   
   apache-airflow-providers-amazon==9.0.0
   apache-airflow-providers-celery==3.8.3
   apache-airflow-providers-cncf-kubernetes==9.0.1
   apache-airflow-providers-common-compat==1.2.1
   apache-airflow-providers-common-io==1.4.2
   apache-airflow-providers-common-sql==1.19.0
   apache-airflow-providers-elasticsearch==5.5.2
   apache-airflow-providers-fab==1.5.0
   apache-airflow-providers-ftp==3.11.1
   apache-airflow-providers-google==10.25.0
   apache-airflow-providers-grpc==3.6.0
   apache-airflow-providers-hashicorp==3.8.0
   apache-airflow-providers-http==4.13.2
   apache-airflow-providers-imap==3.7.0
   apache-airflow-providers-microsoft-azure==11.0.0
   apache-airflow-providers-microsoft-mssql==3.9.1
   apache-airflow-providers-mysql==5.7.3
   apache-airflow-providers-odbc==4.8.0
   apache-airflow-providers-opsgenie==5.7.0
   apache-airflow-providers-oracle==3.12.0
   apache-airflow-providers-postgres==5.13.1
   apache-airflow-providers-redis==3.8.0
   apache-airflow-providers-sftp==4.11.1
   apache-airflow-providers-smtp==1.8.0
   apache-airflow-providers-sqlite==3.9.0
   apache-airflow-providers-ssh==3.14.0
   
   ### Deployment
   
   Official Apache Airflow Helm Chart
   
   ### Deployment details
   
   default executor is CeleryKubernetesExecutor
   
   ### 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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