# -*- coding: utf-8 -*- # # Copyright 2015 Google LLC. All Rights Reserved. # # Licensed 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. """Implementation of gcloud dataflow jobs show command. """ from __future__ import absolute_import from __future__ import division from __future__ import unicode_literals from googlecloudsdk.api_lib.dataflow import apis from googlecloudsdk.api_lib.dataflow import job_display from googlecloudsdk.api_lib.dataflow import step_json from googlecloudsdk.calliope import base from googlecloudsdk.command_lib.dataflow import job_utils @base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.GA) class Show(base.Command): """Shows a short description of the given job. """ @staticmethod def Args(parser): """Register flags for this command. Args: parser: argparse.ArgumentParser to register arguments with. """ job_utils.ArgsForJobRef(parser) parser.add_argument( '--environment', action='store_true', help='If present, the environment will be listed.') parser.add_argument( '--steps', action='store_true', help='If present, the steps will be listed.') def Run(self, args): """Runs the command. Args: args: The arguments that were provided to this command invocation. Returns: A Job message. """ job_ref = job_utils.ExtractJobRef(args) job = apis.Jobs.Get( job_id=job_ref.jobId, project_id=job_ref.projectId, region_id=job_ref.location, view=apis.Jobs.GET_REQUEST.ViewValueValuesEnum.JOB_VIEW_ALL) # Extract the basic display information for the job shown_job = job_display.DisplayInfo(job) if args.environment: shown_job.environment = job.environment if args.steps: shown_job.steps = [ self._PrettyStep(step) for step in step_json.ExtractSteps(job)] return shown_job def _PrettyStep(self, step): """Prettify a given step, by only extracting certain pieces of info. Args: step: The step to prettify. Returns: A dictionary describing the step. """ return { 'id': step['name'], 'user_name': step['properties']['user_name'] }