sstamatiadis-dlt commented on issue #42136:
URL: https://github.com/apache/airflow/issues/42136#issuecomment-3836015321

   Hi @DipBaldha, could you elaborate a bit further? I cannot find the 
`airflow.cfg` file because it is being generated as I understand. There is only 
a airflow-default.cfg if I am not mistaken. Thank you for spending the time to 
comment.
   
   I quickly deployed latest airflow 3.1.6 version using the same Helm chart 
and I still get this error:
   
   `Log message source details sources=["Could not read served logs: Invalid 
URL 
'http://:8793/log/dag_id=demo_DAG/run_id=manual__2026-02-02T15:38:52+00:00/task_id=meteo-data_fetching_in_airflow/attempt=1.log':
 No host supplied"]`
   
   <img width="1097" height="263" alt="Image" 
src="https://github.com/user-attachments/assets/8e00a112-8748-4c21-86cb-3963aacf6550";
 />
   
   My DAG code part that fails is something like the following:
   
   ```
   from airflow import DAG
   from airflow.operators.python import PythonOperator
   from airflow.operators.bash import BashOperator
   from airflow.providers.ssh.operators.ssh import SSHOperator
   from airflow.providers.ssh.hooks.ssh import SSHHook
   from datetime import datetime,timedelta
   
   sshHook_py = SSHHook(ssh_conn_id="jupyterlab", cmd_timeout=3600)
   sshHook_r = SSHHook(ssh_conn_id="rstudio", cmd_timeout=3600)
   
   default_args = {
       'owner': 'airflow',
       'depends_on_past': False,
       'email_on_failure': False,
       'email_on_retry': False,
       'retries': 0,
       'retry_delay': timedelta(minutes=1)
   }
   
   dag = DAG(
       dag_id='demo_DAG',
       default_args=default_args,
       # schedule_interval="@daily", # DEPRECATED in airflow 3.0.2
       schedule="@daily",
       start_date=datetime(2022, 1, 1),
       catchup=False
   )
   
   t6 = BashOperator(
       task_id='meteo-data_fetching_in_airflow',
       bash_command='python /opt/airflow/dags/demo/code/meteo_data_fetching.py',
       dag=dag
   )
   
   t6 >> [t1, t3]
   ...
   ```


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