[GitHub] [airflow] uranusjr commented on issue #26008: Cannot convert a non-kubernetes.client.models.V1Pod object into a KubernetesExecutorConfig

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uranusjr commented on issue #26008:
URL: https://github.com/apache/airflow/issues/26008#issuecomment-1248920572

   I was just seeing a separate case for this particular error, and the setup also has a similar pattern—the DAG file imports a helper module (`template` here) that implements a function that returns the custom `executor_config`. And the error is emitted from here:
   
   https://github.com/apache/airflow/blob/39c91697a5b4e8a6f05c0fc8cb0c93b18b8bfcd1/airflow/kubernetes/pod_generator.py#L169-L182
   
   Since there’s an `isinstance(k8s_object, k8s.V1Pod)` check right at the top (that should cover this `executor_config` value), this means the (de-)serialisation process could be causing the issue, or the V1Pod import may have changed during the process. I’m not sure how this can be fixed yet, but a temporary workaround would be to use the old executor config format for now:
   
   ```python
   custom_executor_config = {
       "KubernetesExecutor": {
           # Put worker configuration here. Possible arguments see:
           # PodGenerator in airflow/kubernetes/pod_generator_deprecated.py
       },
   }
   ```
   
   If this is a serialisation issue, #26191 may be the fix for this.


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