gvergnolle opened a new issue, #57896:
URL: https://github.com/apache/airflow/issues/57896

   ### Apache Airflow version
   
   3.1.1
   
   ### If "Other Airflow 2/3 version" selected, which one?
   
   Actually 3.1.2, not available in the above dropdown
   
   ### What happened?
   
   When the logs are of size ~100 lines, the log window is "cropped". As a 
result, we can't see the logs.
   
   ### What you think should happen instead?
   
   We can normally scroll through the logs of a task.
   
   ### How to reproduce
   
   Here's a simple DAG:
   
   ```[python]
   import logging
   import pendulum
   from airflow.sdk import (
       task,
       DAG,
   )
   
   logger = logging.getLogger(__name__)
   logger.setLevel(logging.INFO)
   
   N_LOGS = 100
   
   with DAG(
       dag_id="test_dag",
       schedule=None,
       start_date=pendulum.datetime(2025, 1, 1, tz="UTC"),
       max_active_runs=1,
       is_paused_upon_creation=False,
   ) as dag:
   
       @task(dag=dag, task_id="print_stuff")
       def print_stuff():
           for i in range(N_LOGS):
               logger.info(f"Processing item {i}")
   
       print_stuff()
   ```
   
   Try it with `N_LOGS=100`, and the window is significantly reduced. We can't 
scroll to the first line (see video attached)
   
   Try it with `N_LOGS=1000`, and all logs completely disappear (see 
screenshot). I am scrolling in the void, and I can't make the logs appear.
   
   <img width="1919" height="941" alt="Image" 
src="https://github.com/user-attachments/assets/a3c9f3da-59f6-46d1-b109-5b2f6b9d9a89";
 />
   
   
https://github.com/user-attachments/assets/de7259d8-c15e-42ac-9da6-8196b25ff26d
   
   ### Operating System
   
   Debian GNU/Linux 12 (bookworm)
   
   ### Versions of Apache Airflow Providers
   
   apache-airflow-providers-standard==1.9.1
   
   ### Deployment
   
   Docker-Compose
   
   ### Deployment details
   
   _No response_
   
   ### Anything else?
   
   I have observed the same behaviour with an `EcsRunTaskOperator`, so it may 
affect **all** operator types, making it a significant issue.
   
   ### 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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