#!/usr/bin/env python

# Copyright 2017 Google Inc. 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.

"""Google Cloud Speech API sample application using the REST API for async
batch processing.

Example usage:
    python transcribe_async.py resources/audio.raw
    python transcribe_async.py gs://cloud-samples-tests/speech/vr.flac
"""

import argparse
import io
from gcloud import storage
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types


# [START speech_transcribe_async]
def transcribe_file(speech_file):
    url = upload_file(speech_file)
    print(url)
    return transcribe_gcs("gs://"+url)

def upload_file(filename):
		bukket = "ths-speech-audio/"
		client = storage.Client()
		cb = client.get_bucket("ths-speech-audio")
		blob = cb.blob(filename)
		blob.upload_from_filename(filename)
		return bukket + filename

def transcribe_gcs(gcs_uri):
    """Asynchronously transcribes the audio file specified by the gcs_uri."""
    client = speech.SpeechClient()

    audio = types.RecognitionAudio(uri=gcs_uri)
    config = types.RecognitionConfig(
        encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
        sample_rate_hertz=32000,
        language_code='de-DE')

    operation = client.long_running_recognize(config, audio)

    print('Waiting for operation to complete...')
    response = operation.result(timeout=900)

    # Each result is for a consecutive portion of the audio. Iterate through
    # them to get the transcripts for the entire audio file.
    ret = ""
    for result in response.results:
        # The first alternative is the most likely one for this portion.
        if len(result.alternatives) < 1:
            continue
        ret += result.alternatives[0].transcript
        print(u'Transcript: {}'.format(result.alternatives[0].transcript))
        print('Confidence: {}'.format(result.alternatives[0].confidence))
    return ret
# [END speech_transcribe_async_gcs]


if __name__ == '__main__':
    parser = argparse.ArgumentParser(
        description=__doc__,
        formatter_class=argparse.RawDescriptionHelpFormatter)
    parser.add_argument(
        'path', help='File or GCS path for audio file to be recognized')
    args = parser.parse_args()
    if args.path.startswith('gs://'):
        transcribe_gcs(args.path)
    else:
        transcribe_file(args.path)