# -*- coding: utf-8 -*- # # Copyright 2022 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. """Cloud Speech-to-text recognizers create command.""" from __future__ import absolute_import from __future__ import division from __future__ import unicode_literals from googlecloudsdk.api_lib.ml.speech import client from googlecloudsdk.calliope import base from googlecloudsdk.command_lib.ml.speech import flag_validations from googlecloudsdk.command_lib.ml.speech import flags_v2 from googlecloudsdk.core import log @base.UniverseCompatible @base.ReleaseTracks(base.ReleaseTrack.ALPHA) class Create(base.Command): """Create a speech-to-text recognizer.""" def ValidateCreateRecognizerFlags(self, args): """Validates create flags.""" flag_validations.ValidateSpeakerDiarization(args) flag_validations.ValidateDecodingConfig(args) @staticmethod def Args(parser): """Register flags for this command.""" flags_v2.AddAllFlagsToParser( parser, require_base_recognizer_attributes=True, use_store_true=True ) def Run(self, args): recognizer = args.CONCEPTS.recognizer.Parse() self.ValidateCreateRecognizerFlags(args) speech_client = client.SpeechV2Client() is_async = args.async_ recognition_config, _ = speech_client.InitializeRecognitionConfig( args.model, args.language_codes ) recognition_config, _ = speech_client.InitializeDecodingConfigFromArgs( recognition_config, args, ) recognition_config.features, _ = ( speech_client.InitializeASRFeaturesFromArgs(args) ) operation = speech_client.CreateRecognizer( recognizer, args.display_name, args.model, args.language_codes, recognition_config, ) if is_async: log.CreatedResource( operation.name, kind='speech recognizer', is_async=True ) return operation resource = speech_client.WaitForRecognizerOperation( location=recognizer.Parent().Name(), operation_ref=speech_client.GetOperationRef(operation), message='waiting for recognizer [{}] to be created'.format( recognizer.RelativeName() ), ) log.CreatedResource(resource.name, kind='speech recognizer') return resource