97 lines
3.5 KiB
Python
97 lines
3.5 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2022 Google LLC. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""'vmware clusters describe' command."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import unicode_literals
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from googlecloudsdk.api_lib.vmware.clusters import ClustersClient
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from googlecloudsdk.api_lib.vmware.nodetypes import NodeTypesClient
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from googlecloudsdk.calliope import base
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from googlecloudsdk.command_lib.vmware import flags
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from googlecloudsdk.core.resource import resource_projector
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DETAILED_HELP = {
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'DESCRIPTION':
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"""
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Display data associated with a VMware Engine cluster, such as its node count, node type, and status.
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""",
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'EXAMPLES':
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"""
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To describe a cluster called `my-cluster` in private cloud `my-private-cloud` and zone `us-west2-a`, run:
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$ {command} my-cluster --location=us-west2-a --project=my-project --private-cloud=my-private-cloud
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Or:
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$ {command} my-cluster --private-cloud=my-private-cloud
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In the second example, the project and location are taken from gcloud properties core/project and compute/zone.
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""",
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}
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@base.ReleaseTracks(base.ReleaseTrack.GA)
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class Describe(base.DescribeCommand):
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"""Describe a Google Cloud VMware Engine cluster."""
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detailed_help = DETAILED_HELP
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@staticmethod
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def Args(parser):
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"""Register flags for this command."""
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flags.AddClusterArgToParser(parser, positional=True)
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def Run(self, args):
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cluster = args.CONCEPTS.cluster.Parse()
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location = cluster.Parent().Parent()
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clusters_client = ClustersClient()
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node_types_client = NodeTypesClient()
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existing_cluster = resource_projector.MakeSerializable(
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clusters_client.Get(cluster)
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)
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node_types = node_types_client.List(location)
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id_to_node_type = {
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node_type.nodeTypeId: node_type for node_type in node_types
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}
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cluster_memory, cluster_storage, cluster_vcpu, cluster_cores = 0, 0, 0, 0
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for node_type_id, node_type_config in existing_cluster[
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'nodeTypeConfigs'
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].items():
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if node_type_id not in id_to_node_type:
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continue
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node_type = id_to_node_type[node_type_id]
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node_count = node_type_config['nodeCount']
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custom_core_count = node_type_config.get('customCoreCount') or 0
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cores_count = custom_core_count or node_type.totalCoreCount or 0
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vcpu_ratio = (
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node_type.virtualCpuCount // node_type.totalCoreCount
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if node_type.totalCoreCount
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else 0
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)
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cluster_memory += (node_type.memoryGb or 0) * node_count
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cluster_storage += (node_type.diskSizeGb or 0) * node_count
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cluster_vcpu += cores_count * vcpu_ratio * node_count
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cluster_cores += cores_count * node_count
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existing_cluster['clusterMemoryGb'] = cluster_memory
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existing_cluster['clusterStorageGb'] = cluster_storage
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existing_cluster['clusterVirtualCpuCount'] = cluster_vcpu
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existing_cluster['clusterCoreCount'] = cluster_cores
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return existing_cluster
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