github-actions[bot] opened a new pull request, #75408:
URL: https://github.com/apache/airflow/pull/75408

   In multi-team mode, the API server reads a running task's logs through the
   global default executor, or looks up the task's named executor in the
   global scope only. A team's executor has its own config, such as the
   cluster its KubernetesExecutor pods run on, so a team task's live logs came
   from the wrong executor: nothing from a global LocalExecutor, or "Cannot
   find pod" from a global KubernetesExecutor on another cluster.
   
   Resolve the executor the same way the scheduler does: the team's executor,
   and a global one if the team doesn't have it.
   (cherry picked from commit 1e3a23293b834db9c362c123bf9580ddef81800a)
   
   Co-authored-by: Sean Ghaeli <[email protected]>


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