### 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)

mock_pod = MagicMock()
        self.pod_manager.read_pod = MagicMock()
        self.pod_manager.get_container_names = MagicMock()
        self.pod_manager.get_container_names.return_value = ["base", "alpine"]
        container_running.return_value = False
        self.mock_kube_client.read_namespaced_pod_log.return_value = mock.MagicMock(
            stream=mock.MagicMock(return_value=[b"2021-01-01 hi"])
        )
        ret_values = self.pod_manager.fetch_requested_container_logs(
            pod=mock_pod,
            container_logs=container_logs,
        )
        assert len(ret_values) == 0
    @mock.patch("pendulum.now")
    @mock.patch("airflow.providers.cncf.kubernetes.utils.pod_manager.container_is_running")
    @mock.patch("airflow.providers.cncf.kubernetes.utils.pod_manager.PodLogsConsumer.logs_available")
    def test_fetch_container_since_time(self, logs_available, container_running, mock_now):