### Apache Airflow version

2.4.1

### What happened

![image](https://user-images.githubusercontent.com/24224756/194797283-6c26ad63-d432-4c41-9f91-2dbc47417ec7.png)
when the sensor running, I can see the log above, but when I manual set the task state to failed or the task failed by other reason, I can't see log at here
![image](https://user-images.githubusercontent.com/24224756/194797633-0c7bf825-8e83-42af-8298-03491a26b7c9.png)
In other version airflow, like 2.3/2.2, this still happens

### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Operating System

Ubuntu 20.04.4 LTS (Focal Fossa)

### Versions of Apache Airflow Providers

_No response_

### Deployment

Docker-Compose

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit 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)

log_relative_path = self._render_filename(ti, try_number)
        location = os.path.join(self.local_base, log_relative_path)
        log = ""
        if os.path.exists(location):
            try:
                with open(location, encoding="utf-8", errors="surrogateescape") as file:
                    log += f"*** Reading local file: {location}\n"
                    log += "".join(file.readlines())
            except Exception as e:
                log = f"*** Failed to load local log file: {location}\n"
                log += f"*** {str(e)}\n"
                return log, {"end_of_log": True}
        elif self._should_check_k8s(ti.queue):
            try:
                from airflow.kubernetes.kube_client import get_kube_client
                from airflow.kubernetes.pod_generator import PodGenerator
                client = get_kube_client()
                log += f"*** Trying to get logs (last 100 lines) from worker pod {ti.hostname} ***\n\n"
                selector = PodGenerator.build_selector_for_k8s_executor_pod(
                    dag_id=ti.dag_id,
                    task_id=ti.task_id,
                    try_number=ti.try_number,
                    map_index=ti.map_index,
                    run_id=ti.run_id,
                    airflow_worker=ti.queued_by_job_id,
                )
                namespace = self._get_pod_namespace(ti)
                pod_list = client.list_namespaced_pod(
                    namespace=namespace,
                    label_selector=selector,