sankalpsthakur opened a new pull request, #71533:
URL: https://github.com/apache/airflow/pull/71533

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   When KubernetesExecutor task pods and KubernetesPodOperator child pods are 
interrupted together (spot drain / dual SIGTERM), the task instance was 
finalized as SUCCESS even though the child never finished.
   
   Root cause: `task_runner` SIGTERM handling calls `on_kill()`, which sets 
`_killed` and deletes the child. `cleanup()` then returned immediately so 
`execute()` completed normally. The supervisor records SUCCESS for a 0-exit 
with no terminal-state message. Interrupting only the child still failed (404 / 
PodFailed) because `on_kill()` never ran.
   
   This does not revert #69034 (warm-shutdown supervisor). SIGTERM on the 
supervisor is still not treated as task failure. The change is KPO-only: after 
`on_kill()`, cleanup still skips a second delete (avoids 404 retries) but 
raises `AirflowException` so the TI is failed / up_for_retry.
   
   ### Summary
   - `KubernetesPodOperator.cleanup()` raises if `on_kill()` already ran, 
instead of returning as success.
   - Unit tests cover the `_killed` cleanup path and the execute_sync race 
(SIGTERM/on_kill during wait, then execute continues).
   
   ### Validation
   - Published `apache-airflow-providers-cncf-kubernetes==10.21.0`: `cleanup()` 
after `_killed=True` returned `None` (the SUCCESS bug).
   - Same call against this change: `AirflowException: Pod sleep-worker was 
interrupted before it completed.`
   - Tests added:
     - `test_cleanup_raises_when_on_kill_already_ran`
     - `test_execute_sync_on_kill_during_wait_is_not_success`
   - Full `test_pod.py` file is `db_test` (breeze). Local proof used Airflow 
3.1.3 + overlaid operator module, no live cluster.
   
   Fixes #71202
   
   ### AI/LLM disclosure
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used to help draft or modify code and this PR description.
   - I reviewed the complete change, understand the reasoning, and ran the 
reported local tests before submitting.
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contributor terms; AI output was not pasted unreviewed.
   
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   ##### Was generative AI tooling used to co-author this PR?
   
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   * For fundamental code changes, an Airflow Improvement Proposal 
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