126 lines
4.6 KiB
Python
126 lines
4.6 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 models create 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 models
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from googlecloudsdk.calliope import arg_parsers
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from googlecloudsdk.calliope import base
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from googlecloudsdk.command_lib.ml_engine import constants
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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 models_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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_REGION_FLAG_HELPTEXT = """\
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Google Cloud region of the regional endpoint to use for this command.
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If you specify this flag, do not specify `--regions`.
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If you specify `--region=global`, the model will be deployed to 'us-central1'
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by default using the global endpoint. Please use `--regions` only if you want
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to change the region where the model will be deployed against the global
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endpoint.
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If both flags are unspecified and you don't set ``ai_platform/region'', you will
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be prompted for region of the regional endpoint.
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Learn more about regional endpoints and see a list of available regions:
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https://cloud.google.com/ai-platform/prediction/docs/regional-endpoints
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"""
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def _AddCreateArgs(parser,
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support_console_logging=False):
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"""Get arguments for the `ai-platform models create` command."""
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flags.GetModelName().AddToParser(parser)
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flags.GetDescriptionFlag('model').AddToParser(parser)
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region_group = parser.add_mutually_exclusive_group()
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region_group.add_argument(
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'--region',
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choices=constants.SUPPORTED_REGIONS_WITH_GLOBAL,
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help=_REGION_FLAG_HELPTEXT)
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region_group.add_argument(
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'--regions',
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metavar='REGION',
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type=arg_parsers.ArgList(min_length=1),
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help="""\
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The Google Cloud region where the model will be deployed (currently only a
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single region is supported) against the global endpoint.
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If you specify this flag, do not specify `--region`.
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Defaults to 'us-central1' while using the global endpoint.
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""")
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parser.add_argument(
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'--enable-logging',
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action='store_true',
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help='If set, enables StackDriver Logging for online prediction. These '
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'logs are like standard server access logs, containing information '
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'such as timestamps and latency for each request.')
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if support_console_logging:
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parser.add_argument(
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'--enable-console-logging',
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action='store_true',
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help='If set, enables StackDriver Logging of stderr and stdout streams '
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'for online prediction. These logs are more verbose than the '
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'standard access logs and can be helpful for debugging.')
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labels_util.AddCreateLabelsFlags(parser)
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@base.ReleaseTracks(base.ReleaseTrack.GA)
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class Create(base.CreateCommand):
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"""Create a new AI Platform model."""
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@staticmethod
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def Args(parser):
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_AddCreateArgs(parser)
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def _Run(self, args, support_console_logging=False):
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region, model_regions = models_util.GetModelRegion(args)
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with endpoint_util.MlEndpointOverrides(region=region):
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models_client = models.ModelsClient()
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labels = models_util.ParseCreateLabels(models_client, args)
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enable_console_logging = (
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support_console_logging and args.enable_console_logging)
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model = models_util.Create(
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models_client,
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args.model,
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model_regions,
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enable_logging=args.enable_logging,
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enable_console_logging=enable_console_logging,
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labels=labels,
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description=args.description)
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log.CreatedResource(model.name, kind='ai platform model')
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def Run(self, args):
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self._Run(args)
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@base.ReleaseTracks(base.ReleaseTrack.BETA, base.ReleaseTrack.ALPHA)
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class CreateBeta(Create):
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"""Create a new AI Platform model."""
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@staticmethod
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def Args(parser):
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_AddCreateArgs(parser, support_console_logging=True)
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def Run(self, args):
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self._Run(args, support_console_logging=True)
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