File: //snap/google-cloud-cli/current/lib/surface/dataproc/autoscaling_policies/list.py
# -*- coding: utf-8 -*- #
# Copyright 2019 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.
"""List autoscaling policies command."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from apitools.base.py import list_pager
from googlecloudsdk.api_lib.dataproc import constants
from googlecloudsdk.api_lib.dataproc import dataproc as dp
from googlecloudsdk.api_lib.dataproc import util
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.dataproc import flags
class List(base.ListCommand):
"""List autoscaling policies.
## EXAMPLES
The following command lists all autoscaling policies in Dataproc's
'us-central1' region:
$ {command} --region=us-central1
"""
@staticmethod
def Args(parser):
flags.AddRegionFlag(parser)
base.PAGE_SIZE_FLAG.SetDefault(parser, constants.DEFAULT_PAGE_SIZE)
parser.display_info.AddFormat("""
table(
id:label=ID
)
""")
# Implementation of --uri prints out "name" field for each entry
parser.display_info.AddUriFunc(lambda resource: resource.name)
def Run(self, args):
dataproc = dp.Dataproc(self.ReleaseTrack())
messages = dataproc.messages
region = util.ParseRegion(dataproc)
request = messages.DataprocProjectsRegionsAutoscalingPoliciesListRequest(
parent=region.RelativeName())
return list_pager.YieldFromList(
dataproc.client.projects_regions_autoscalingPolicies,
request,
limit=args.limit,
field='policies',
batch_size=args.page_size,
batch_size_attribute='pageSize')