Re: [I] Task fails and cannot read logs. Invalid URL 'http://:8793/log/...': No host supplied [airflow]

[via GitHub]

DipBaldha commented on issue #42136:
URL: https://github.com/apache/airflow/issues/42136#issuecomment-3836093043

   > Hi [@DipBaldha](https://github.com/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 alt="Image" width="1097" height="263" 
src="https://private-user-images.githubusercontent.com/78788009/543870885-8e00a112-8748-4c21-86cb-3963aacf6550.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.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.IckG_nF9QMmiX3O2N8yLh3vkGQJ31L1el9emD7CpHx0";>
   > 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]
   > ...
   > ```
   
   Please try using this airflow.cfg file, and let me know if it works for you.
   https://github.com/DipBaldha/airflow/blob/main/airflow.cfg


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