class_docstr: Airflow Scheduler for Kubernetes.
class_docstr_tok: ["Airflow","Scheduler","for","Kubernetes","."]
docstr: Process the task by watcher.
docstr_tok: ["Process","the","task","by","watcher","."]
code: def process_watcher_task(self, task: KubernetesWatchType) -> None:
      """Process the task by watcher."""
      pod_name, namespace, state, annotations, resource_version = task
      self.log.debug(
          "Attempting to finish pod; pod_name: %s; state: %s; annotations: %s",
          pod_name,
          state,
          annotations_for_logging_task_metadata(annotations),
      )
      key = annotations_to_key(annotations=annotations)
      if key:
          self.log.debug(
              "finishing job %s - %s (%s)", key, state, pod_name
          )
          self.result_queue.put(
              (key, state, pod_name, namespace, resource_version)
          )
  
imports: from __future__ import annotations
  import contextlib
  import json
  import multiprocessing
  import time
  from queue import Empty, Queue
  from typing import TYPE_CHECKING, Any, Generic, TypeVar
  from kubernetes import client, watch
  from kubernetes.client.rest import ApiException
  from urllib3.exceptions import ReadTimeoutError
  from airflow.exceptions import AirflowException
  from airflow.providers.cncf.kubernetes.kube_client import get_kube_client
  from airflow.providers.cncf.kubernetes.kubernetes_helper_functions import annotations_for_logging_task_metadata, annotations_to_key, create_pod_id
  from airflow.providers.cncf.kubernetes.pod_generator import PodGenerator
  from airflow.utils.log.logging_mixin import LoggingMixin
  from airflow.utils.state import TaskInstanceState
label_desc: Use image node_id 10 for calling the AirflowKubernetesScheduler obj's underlying member method code with example usage: obj.process_watcher_task(task) without return types