136 lines
4.2 KiB
Python
136 lines
4.2 KiB
Python
# -*- coding: utf-8 -*- #
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# Copyright 2025 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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"""Command to create a serverless ray job in Vertex AI."""
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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.ai.serverless_ray_jobs import client
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from googlecloudsdk.calliope import base
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from googlecloudsdk.command_lib.ai import constants
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from googlecloudsdk.command_lib.ai import endpoint_util
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from googlecloudsdk.command_lib.ai.serverless_ray_jobs import flags
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from googlecloudsdk.command_lib.ai.serverless_ray_jobs import serverless_ray_jobs_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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_OPERATION_RESOURCE_NAME_TEMPLATE = (
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'projects/{project_number}/locations/{region}/operations/{operation_id}'
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)
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_JOB_CREATION_DISPLAY_MESSAGE_TEMPLATE = """\
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Serverless Ray Job [{job_name}] is submitted successfully.
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Your job is still active. You may view the status of your job with the command:
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$ {command_prefix} ai ray job describe {job_name}
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"""
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@base.ReleaseTracks(base.ReleaseTrack.GA)
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@base.UniverseCompatible
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class CreateGA(base.CreateCommand):
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"""Create a new serverless ray job.
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This command will attempt to run the serverless ray job immediately upon
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creation.
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## EXAMPLES
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To create a job under project ``example'' in region
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``us-central1'', run:
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$ {command} --region=us-central1 --project=example
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--resource-spec=resource-unit=1,disk-size=100
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--entrypoint='gs://test-project/ray_job.py'
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--display-name=test
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"""
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_version = constants.GA_VERSION
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@staticmethod
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def Args(parser):
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flags.AddCreateServerlessRayJobFlags(parser)
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def _DisplayResult(self, response):
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cmd_prefix = 'gcloud'
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if self.ReleaseTrack().prefix:
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cmd_prefix += ' ' + self.ReleaseTrack().prefix
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log.status.Print(
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_JOB_CREATION_DISPLAY_MESSAGE_TEMPLATE.format(
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job_name=response.name, command_prefix=cmd_prefix
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)
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)
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def _PrepareJobSpec(self, args, api_client):
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job_spec = serverless_ray_jobs_util.ConstructServerlessRayJobSpec(
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api_client,
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main_python_file_uri=args.entrypoint,
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entrypoint_file_args=args.entrypoint_file_args,
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archive_uris=args.archive_uris,
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service_account=args.service_account,
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container_image_uri=args.container_image_uri,
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resource_spec=args.resource_spec,
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)
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return job_spec
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def Run(self, args):
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# TODO(b/390723702): Add request validation.
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region_ref = args.CONCEPTS.region.Parse()
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region = region_ref.AsDict()['locationsId']
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with endpoint_util.AiplatformEndpointOverrides(
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version=self._version, region=region):
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api_client = client.ServerlessRayJobsClient(version=self._version)
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print('self._version: {}'.format(self._version))
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job_spec = self._PrepareJobSpec(args, api_client)
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labels = labels_util.ParseCreateArgs(
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args, api_client.ServerlessRayJobMessage().LabelsValue
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)
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response = api_client.Create(
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parent=region_ref.RelativeName(),
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job_spec=job_spec,
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display_name=args.display_name,
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labels=labels,
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)
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self._DisplayResult(response)
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return response
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@base.ReleaseTracks(base.ReleaseTrack.BETA)
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class CreatePreGA(CreateGA):
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"""Create a new custom job.
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This command will attempt to run the custom job immediately upon creation.
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## EXAMPLES
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To create a job under project ``example'' in region
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``us-central1'', run:
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$ {command} --region=us-central1 --project=example
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--worker-pool-spec=replica-count=1,machine-type='n1-highmem-2',container-image-uri='gcr.io/ucaip-test/ucaip-training-test'
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--display-name=test
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"""
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_version = constants.BETA_VERSION
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