text: #
  # Licensed to the Apache Software Foundation (ASF) under one
  # or more contributor license agreements.  See the NOTICE file
  # distributed with this work for additional information
  # regarding copyright ownership.  The ASF licenses this file
  # to you under the Apache License, Version 2.0 (the
  # "License"); you may not use this file except in compliance
  # with the License.  You may obtain a copy of the License at
  #
  #   http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing,
  # software distributed under the License is distributed on an
  # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, either express or implied.  See the License for the
  # specific language governing permissions and limitations
  # under the License.
  #
  from ai_flow.plugins.kubernetes_platform import watch_k8s_job_status
  from airflow.models.baseoperator import BaseOperator
  from flink_ai_flow.kubernetes_flink_job import KubernetesFlinkJobPlugin
  from ai_flow.common import json_utils
  
  
  class KubernetesFlinkOperator(BaseOperator):
  
      def __init__(self, job_file, *args, **kwargs):
          super(KubernetesFlinkOperator, self).__init__(*args, **kwargs)
          with open(file=job_file, mode='rt') as f:
              job = f.read()
              self.job = json_utils.loads(job)
          self.plugin = KubernetesFlinkJobPlugin()
  
      def execute(self, context):
          self.plugin.submit_job(job=self.job)
          watch_k8s_job_status(job_name=self.plugin.generate_job_name(self.job))
  
      def on_kill(self):
          self.plugin.cleanup_job(self.job)
  