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  # 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
  #
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  # software distributed under the License is distributed on an
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  # KIND, either express or implied.  See the License for the
  # specific language governing permissions and limitations
  # under the License.
  
  from airflow.providers.amazon.aws.hooks.sagemaker import SageMakerHook
  from airflow.providers.amazon.aws.sensors.sagemaker_base import SageMakerBaseSensor
  from airflow.utils.decorators import apply_defaults
  
  
  class SageMakerTuningSensor(SageMakerBaseSensor):
      """
      Asks for the state of the tuning state until it reaches a terminal state.
      The sensor will error if the job errors, throwing a AirflowException
      containing the failure reason.
  
      :param job_name: job_name of the tuning instance to check the state of
      :type job_name: str
      """
  
      template_fields = ['job_name']
      template_ext = ()
  
      @apply_defaults
      def __init__(self, *, job_name: str, **kwargs):
          super().__init__(**kwargs)
          self.job_name = job_name
  
      def non_terminal_states(self):
          return SageMakerHook.non_terminal_states
  
      def failed_states(self):
          return SageMakerHook.failed_states
  
      def get_sagemaker_response(self):
          self.log.info('Poking Sagemaker Tuning Job %s', self.job_name)
          return self.get_hook().describe_tuning_job(self.job_name)
  
      def get_failed_reason_from_response(self, response):
          return response['FailureReason']
  
      def state_from_response(self, response):
          return response['HyperParameterTuningJobStatus']
  