### 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)

)
                            ]
                        )
                    )
                ),
                id="current",
            ),
            param(
                {
                    "nodeAffinity": {
                        "requiredDuringSchedulingIgnoredDuringExecution": {
                            "nodeSelectorTerms": [
                                {
                                    "matchExpressions": [
                                        {
                                            "key": "beta.kubernetes.io/os",
                                            "operator": "In",
                                            "values": ["linux"],
                                        }
                                    ]
                                }
                            ]
                        }
                    }
                },
                id="backcompat",
            ),
        ],
    )
    def test_pod_affinity(self, val, mock_get_connection):