File: //snap/google-cloud-cli/394/lib/surface/storage/buckets/anywhere_caches/resume.py
# -*- coding: utf-8 -*- #
# Copyright 2023 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 resume command for resuming Anywhere Cache instances."""
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.storage import progress_callbacks
from googlecloudsdk.command_lib.storage import storage_url
from googlecloudsdk.command_lib.storage.tasks import task_executor
from googlecloudsdk.command_lib.storage.tasks import task_graph_executor
from googlecloudsdk.command_lib.storage.tasks import task_status
from googlecloudsdk.command_lib.storage.tasks.buckets.anywhere_caches import resume_anywhere_cache_task
@base.DefaultUniverseOnly
class Resume(base.Command):
"""Resume Anywhere Cache instances."""
detailed_help = {
'DESCRIPTION': """
Resume operation could be used to revert the Paused and Disabled state.
Once a paused/disabled cache is resumed, the cache will be set to
RUNNING/CREATING state:
1. RUNNING if the cache is active.
2. CREATING if the cache is pending creation.
""",
'EXAMPLES': """
The following command resume the anywhere cache instance of bucket
``my-bucket'' having anywhere_cache_id ``my-cache-id'':
$ {command} my-bucket/my-cache-id
""",
}
@classmethod
def Args(cls, parser):
parser.add_argument(
'id',
type=str,
nargs='+',
help=(
'Identifiers for a Anywhere Cache instance. They are combination of'
' bucket_name/anywhere_cache_id. For example :'
' test-bucket/my-cache-id.'
),
)
def _get_task_iterator(self, args, task_status_queue):
progress_callbacks.workload_estimator_callback(
task_status_queue, len(args.id)
)
for id_str in args.id:
bucket_name, _, anywhere_cache_id = id_str.rpartition(
storage_url.CLOUD_URL_DELIMITER
)
yield resume_anywhere_cache_task.ResumeAnywhereCacheTask(
bucket_name, anywhere_cache_id
)
def Run(self, args):
task_status_queue = task_graph_executor.multiprocessing_context.Queue()
task_iterator = self._get_task_iterator(args, task_status_queue)
self.exit_code = task_executor.execute_tasks(
task_iterator,
parallelizable=True,
task_status_queue=task_status_queue,
progress_manager_args=task_status.ProgressManagerArgs(
increment_type=task_status.IncrementType.INTEGER, manifest_path=None
),
)