### 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)

"""
    Returns context manager that will swallow and log exceptions.
    By default swallows descendents of Exception, but you can provide other classes through
    the vararg ``exceptions``.
    Suppression behavior can be disabled with reraise=True.
    :meta private:
    """
    def __init__(self, *exceptions, reraise=False):
        self._exceptions = exceptions or (Exception,)
        self.reraise = reraise
        self.exception = None
    def __enter__(self):
        return self
    def __exit__(self, exctype, excinst, exctb):
        error = exctype is not None
        matching_error = error and issubclass(exctype, self._exceptions)
        if (error and not matching_error) or (matching_error and self.reraise):
            return False
        elif matching_error:
            self.exception = excinst
            logger = logging.getLogger(__name__)
            logger.exception(excinst)
        return True