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#
# 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,
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"""Implementation of gcloud genomics datasets delete.
"""

from googlecloudsdk.api_lib.genomics import genomics_util
from googlecloudsdk.api_lib.genomics.exceptions import GenomicsError
from googlecloudsdk.calliope import base
from googlecloudsdk.core import log
from googlecloudsdk.core.console import console_io


class DatasetsDelete(base.Command):
  """Deletes a dataset.
  """

  @staticmethod
  def Args(parser):
    """Register flags for this command."""
    parser.add_argument('id', type=str,
                        help='The ID of the dataset to be deleted.')

  @genomics_util.ReraiseHttpException
  def Run(self, args):
    """This is what gets called when the user runs this command.

    Args:
      args: an argparse namespace, All the arguments that were provided to this
        command invocation.

    Raises:
      HttpException: An http error response was received while executing api
          request.
    Returns:
      None
    """
    # Look it up first so that we can display the name
    existing_ds = genomics_util.GetDataset(args.id)

    prompt_message = (
        'Deleting dataset {0} ({1}) will delete all objects in the dataset. '
        'Deleted datasets can be recovered with the "restore" command '
        'up to one week after the deletion occurs.').format(existing_ds.id,
                                                            existing_ds.name)

    if not console_io.PromptContinue(message=prompt_message):
      raise GenomicsError('Deletion aborted by user.')

    apitools_client = genomics_util.GetGenomicsClient()
    genomics_messages = genomics_util.GetGenomicsMessages()

    dataset = genomics_messages.GenomicsDatasetsDeleteRequest(
        datasetId=str(args.id),
    )

    apitools_client.datasets.Delete(dataset)
    log.DeletedResource('{0} ({1})'.format(existing_ds.id,
                                           existing_ds.name))
