### Description

Add a process_line callback to KubernetesPodOperator 
Like https://github.com/apache/airflow/blob/main/airflow/providers/apache/beam/operators/beam.py#LL304C36-L304C57 the `BeamRunPythonPipelineOperator`, which allows the user to add stateful plugins based on the logging from docker job 

### Use case/motivation

I can add a plugin based on the logging and also allow cleanup on_kill based on the job creation log. 

### Related issues

_No response_

### Are you willing to submit a 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)

res = None
        if resp.is_open():
            self.log.info("Running command... %s\n", command)
            resp.write_stdin(command + "\n")
            while resp.is_open():
                resp.update(timeout=1)
                while resp.peek_stdout():
                    res = res + resp.read_stdout() if res else resp.read_stdout()
                error_res = None
                while resp.peek_stderr():
                    error_res = error_res + resp.read_stderr() if error_res else resp.read_stderr()
                if error_res:
                    self.log.info("stderr from command: %s", error_res)
                    break
                if res:
                    return res
        return res
class OnFinishAction(str, enum.Enum):
    """Action to take when the pod finishes."""
    KEEP_POD = "keep_pod"
    DELETE_POD = "delete_pod"
    DELETE_SUCCEEDED_POD = "delete_succeeded_pod"