Files
novafarma/gcloud auth application-default login/google-cloud-sdk/lib/surface/design_center/spaces/infer_connections.py

114 lines
4.3 KiB
Python

# -*- coding: utf-8 -*- #
# Copyright 2025 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.
"""Command to infer connections for a space."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.design_center import utils
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.design_center import flags
from googlecloudsdk.core import log
_DETAILED_HELP = {
'DESCRIPTION': (
'Infers connections for catalog and shared template revisions within a'
' space. If no URIs are provided, it processes all templates in the'
' space, but may fail if a shared template is unexpectedly missing.'
),
'EXAMPLES': """ \
To infer connections for a space named `my-space` in location `us-central1` and project `my-project`, run:
$ {command} my-space --project=my-project --location=us-central1
To infer connections for a space named `my-space` in location `us-central1` and project `my-project`, with specific catalog template revision URIs and using Gemini, run:
$ {command} platform --project=my-project --location=us-central1 \\
--catalog-template-revision-uris=projects/my-project/locations/us-central1/spaces/security/catalogs/security/templates/certificate-authority/revisions/rev1,projects/my-project/locations/us-central1/spaces/security/catalogs/security/templates/certificate-authority/revisions/rev2 \\
--use-gemini
To infer connections for a space using the full resource name, run:
$ {command} projects/cloud-appcenter-e2e-testing/locations/us-central1/spaces/platform \\
--catalog-template-revision-uris=projects/cloud-appcenter-e2e-testing/locations/us-central1/spaces/security/catalogs/security/templates/certificate-authority/revisions/rev1 \\
--use-gemini
""",
'API REFERENCE': """ \
This command uses the designcenter/v1alpha API. The full documentation for
this API can be found at:
http://cloud.google.com/application-design-center/docs
""",
}
@base.ReleaseTracks(base.ReleaseTrack.ALPHA)
@base.UniverseCompatible
class InferConnections(base.Command):
"""Infer connections for a space."""
detailed_help = _DETAILED_HELP
@staticmethod
def Args(parser):
"""Register flags for this command."""
flags.AddInferConnectionsFlags(parser)
def Run(self, args):
"""This is what gets called when the user runs this command."""
client = utils.GetClientInstance(self.ReleaseTrack())
messages = utils.GetMessagesModule(self.ReleaseTrack())
space_ref = args.CONCEPTS.space.Parse()
parent = space_ref.RelativeName()
infer_connections_request_msg = messages.InferConnectionsRequest()
if args.IsSpecified('catalog_template_revision_uris'):
infer_connections_request_msg.catalogTemplateRevisionUris = (
args.catalog_template_revision_uris
)
if args.use_gemini:
infer_connections_request_msg.useGemini = args.use_gemini
request = (
messages.DesigncenterProjectsLocationsSpacesInferConnectionsRequest(
name=parent, inferConnectionsRequest=infer_connections_request_msg
)
)
operation = client.projects_locations_spaces.InferConnections(request)
log.status.Print(
'Infer connections request issued for: [{0}]'.format(space_ref.Name())
)
if args.async_:
return operation
response_dict = utils.WaitForOperationWithEmbeddedResult(
client,
operation,
'Waiting for infer connections to complete',
max_wait_sec=7200,
release_track=self.ReleaseTrack(),
)
log.status.Print(
'Finished inferring connections for space [{0}].'.format(
space_ref.Name()
)
)
return response_dict