# -*- 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 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
