[I] triggerer : {serve_logs.py:103} WARNING - The signature of the request was wrong [airflow]

[via GitHub]

raphaelauv opened a new issue, #38352:
URL: https://github.com/apache/airflow/issues/38352

   ### Apache Airflow version
   
   2.8.3
   
   ### If "Other Airflow 2 version" selected, which one?
   
   _No response_
   
   ### What happened?
   
   ```
   {serve_logs.py:103} WARNING - The signature of the request was wrong
   Traceback (most recent call last):
   File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/utils/serve_logs.py", 
line 85, in validate_pre_signed_url
        payload = signer.verify_token(auth)
   File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/utils/jwt_signer.py", 
line 72, in verify_token
        payload = jwt.decode(
   File "/home/airflow/.local/lib/python3.8/site-packages/jwt/api_jwt.py", line 
210, in decode
        decoded = self.decode_complete(
   File "/home/airflow/.local/lib/python3.8/site-packages/jwt/api_jwt.py", line 
151, in decode_complete
        decoded = api_jws.decode_complete(
   File "/home/airflow/.local/lib/python3.8/site-packages/jwt/api_jws.py", line 
209, in decode_complete
        self._verify_signature(signing_input, header, signature, key, 
algorithms)
   File "/home/airflow/.local/lib/python3.8/site-packages/jwt/api_jws.py", line 
310, in _verify_signature
        raise InvalidSignatureError("Signature verification failed")
   jwt.exceptions.InvalidSignatureError: Signature verification failed
   ```
   
   ### What you think should happen instead?
   
   _No response_
   
   ### How to reproduce
   
   ```shell
   curl -LfO 
'https://airflow.apache.org/docs/apache-airflow/2.8.3/docker-compose.yaml'
   
   mkdir -p ./dags ./logs ./plugins ./config
   
   ```
   create file toto.py
   
   ```python
   from airflow.operators.python import PythonOperator
   from airflow.operators.trigger_dagrun import TriggerDagRunOperator
   from pendulum import today
   from airflow import DAG
   
   dag_1 = DAG(
       dag_id="dag_1",
       schedule_interval=None,
       start_date=today("UTC").add(days=-1)
   )
   
   with dag_1:
       def toto():
           import time
           time.sleep(12)
           raise Exception()
   
   
       PythonOperator(
           task_id="task_2",
           python_callable=toto)
   
   dag_2 = DAG(
       dag_id="dag_2",
       schedule_interval=None,
       start_date=today("UTC").add(days=-1)
   )
   
   with dag_2:
       TriggerDagRunOperator(
           task_id="task_1",
           trigger_dag_id="dag_1",
           reset_dag_run=True,
           wait_for_completion=True,
           poke_interval=5,
           deferrable=True,
           trigger_run_id="NAME_C"
       )
   
   ```
   
   ```shell
   docker compose up -d 
   ```
   then activate dag_1 and dag_2 then trigger a run of dag_2 , then check logs 
of the task
   
   ### Operating System
   
   ubuntu 22.0.4
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Docker-Compose
   
   ### Deployment details
   
   _No response_
   
   ### 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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