109 lines
4.0 KiB
Python
109 lines
4.0 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2019 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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"""ai-platform versions update 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.ml_engine import operations
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from googlecloudsdk.api_lib.ml_engine import versions_api
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from googlecloudsdk.calliope import base
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from googlecloudsdk.command_lib.ml_engine import endpoint_util
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from googlecloudsdk.command_lib.ml_engine import flags
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from googlecloudsdk.command_lib.ml_engine import region_util
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from googlecloudsdk.command_lib.ml_engine import versions_util
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from googlecloudsdk.command_lib.util.args import labels_util
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from googlecloudsdk.core import log
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def _AddUpdateArgs(parser):
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"""Get arguments for the `ai-platform versions update` command."""
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flags.AddVersionResourceArg(parser, 'to update')
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flags.GetDescriptionFlag('version').AddToParser(parser)
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flags.GetRegionArg(include_global=True).AddToParser(parser)
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labels_util.AddUpdateLabelsFlags(parser)
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base.Argument(
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'--config',
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metavar='YAML_FILE',
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help="""\
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Path to a YAML configuration file containing configuration parameters
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for the
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[version](https://cloud.google.com/ml/reference/rest/v1/projects.models.versions)
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to create.
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The file is in YAML format. Note that not all attributes of a version
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are configurable; available attributes (with example values) are:
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description: A free-form description of the version.
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manualScaling:
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nodes: 10 # The number of nodes to allocate for this model.
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autoScaling:
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minNodes: 0 # The minimum number of nodes to allocate for this model.
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maxNodes: 1 # The maxinum number of nodes to allocate for this model.
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requestLoggingconfig:
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bigqueryTableName: someTable # Fully qualified BigQuery table name.
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samplingPercentage: 0.5 # Percentage of requests to be logged.
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The name of the version must always be specified via the required
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VERSION argument.
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Only one of manualScaling or autoScaling can be specified. If both
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are specified in same yaml file, an error will be returned.
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Labels cannot currently be set in the config.yaml; please use
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the command-line flags to alter them.
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If an option is specified both in the configuration file and via
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command-line arguments, the command-line arguments override the
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configuration file.
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"""
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).AddToParser(parser)
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def _Run(args):
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region = region_util.GetRegion(args)
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with endpoint_util.MlEndpointOverrides(region=region):
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versions_client = versions_api.VersionsClient()
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operations_client = operations.OperationsClient()
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version_ref = args.CONCEPTS.version.Parse()
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versions_util.Update(versions_client, operations_client, version_ref, args)
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log.UpdatedResource(args.version, kind='AI Platform version')
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@base.ReleaseTracks(base.ReleaseTrack.GA)
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class Update(base.UpdateCommand):
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"""Update an AI Platform version."""
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@staticmethod
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def Args(parser):
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_AddUpdateArgs(parser)
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def Run(self, args):
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return _Run(args)
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@base.ReleaseTracks(base.ReleaseTrack.ALPHA, base.ReleaseTrack.BETA)
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class UpdateBeta(base.UpdateCommand):
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"""Update an AI Platform version."""
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@staticmethod
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def Args(parser):
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_AddUpdateArgs(parser)
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flags.AddRequestLoggingConfigFlags(parser)
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def Run(self, args):
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return _Run(args)
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