File: //snap/google-cloud-cli/current/lib/surface/ml/speech/recognizers/create.py
# -*- 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