def test_recognize(self):
# Setup Expected Response
expected_response = {}
expected_response = cloud_speech_pb2.RecognizeResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = speech_v1p1beta1.SpeechClient()
# Setup Request
encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = "en-US"
config = {
"encoding": encoding,
"sample_rate_hertz": sample_rate_hertz,
"language_code": language_code,
}
uri = "gs://bucket_name/file_name.flac"
audio = {"uri": uri}
response = client.recognize(config, audio)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = cloud_speech_pb2.RecognizeRequest(config=config,
audio=audio)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_streaming_recognize(self):
# Setup Expected Response
expected_response = {}
expected_response = cloud_speech_pb2.StreamingRecognizeResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[iter([expected_response])])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = speech_v1p1beta1.SpeechClient()
# Setup Request
request = {}
request = cloud_speech_pb2.StreamingRecognizeRequest(**request)
requests = [request]
response = client.streaming_recognize(requests)
resources = list(response)
assert len(resources) == 1
assert expected_response == resources[0]
assert len(channel.requests) == 1
actual_requests = channel.requests[0][1]
assert len(actual_requests) == 1
actual_request = list(actual_requests)[0]
assert request == actual_request
def test_recognize(self):
# Setup Expected Response
expected_response = {}
expected_response = cloud_speech_pb2.RecognizeResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = speech_v1p1beta1.SpeechClient(channel=channel)
# Setup Request
encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = 'en-US'
config = {
'encoding': encoding,
'sample_rate_hertz': sample_rate_hertz,
'language_code': language_code
}
uri = 'gs://bucket_name/file_name.flac'
audio = {'uri': uri}
response = client.recognize(config, audio)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = cloud_speech_pb2.RecognizeRequest(
config=config, audio=audio)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_long_running_recognize_exception(self):
# Setup Response
error = status_pb2.Status()
operation = operations_pb2.Operation(
name="operations/test_long_running_recognize_exception", done=True)
operation.error.CopyFrom(error)
# Mock the API response
channel = ChannelStub(responses=[operation])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = speech_v1p1beta1.SpeechClient()
# Setup Request
encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = "en-US"
config = {
"encoding": encoding,
"sample_rate_hertz": sample_rate_hertz,
"language_code": language_code,
}
uri = "gs://bucket_name/file_name.flac"
audio = {"uri": uri}
response = client.long_running_recognize(config, audio)
exception = response.exception()
assert exception.errors[0] == error
def test_streaming_recognize(self):
# Setup Expected Response
expected_response = {}
expected_response = cloud_speech_pb2.StreamingRecognizeResponse(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[iter([expected_response])])
client = speech_v1p1beta1.SpeechClient(channel=channel)
# Setup Request
request = {}
request = cloud_speech_pb2.StreamingRecognizeRequest(**request)
requests = [request]
response = client.streaming_recognize(requests)
resources = list(response)
assert len(resources) == 1
assert expected_response == resources[0]
assert len(channel.requests) == 1
actual_requests = channel.requests[0][1]
assert len(actual_requests) == 1
actual_request = list(actual_requests)[0]
assert request == actual_request
def test_long_running_recognize_exception(self):
# Setup Response
error = status_pb2.Status()
operation = operations_pb2.Operation(
name='operations/test_long_running_recognize_exception', done=True)
operation.error.CopyFrom(error)
# Mock the API response
channel = ChannelStub(responses=[operation])
client = speech_v1p1beta1.SpeechClient(channel=channel)
# Setup Request
encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = 'en-US'
config = {
'encoding': encoding,
'sample_rate_hertz': sample_rate_hertz,
'language_code': language_code
}
uri = 'gs://bucket_name/file_name.flac'
audio = {'uri': uri}
response = client.long_running_recognize(config, audio)
exception = response.exception()
assert exception.errors[0] == error
def test_streaming_recognize_exception(self):
# Mock the API response
channel = ChannelStub(responses=[CustomException()])
client = speech_v1p1beta1.SpeechClient(channel=channel)
# Setup request
request = {}
request = cloud_speech_pb2.StreamingRecognizeRequest(**request)
requests = [request]
with pytest.raises(CustomException):
client.streaming_recognize(requests)
def test_streaming_recognize_exception(self):
# Mock the API response
channel = ChannelStub(responses=[CustomException()])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = speech_v1p1beta1.SpeechClient()
# Setup request
request = {}
request = cloud_speech_pb2.StreamingRecognizeRequest(**request)
requests = [request]
with pytest.raises(CustomException):
client.streaming_recognize(requests)
def google_transcribe(audio_file_name):
file_name = filepath + audio_file_name
bucket_name = bucketname
source_file_name = filepath + audio_file_name
destination_blob_name = audio_file_name
upload_blob(bucket_name, source_file_name, destination_blob_name)
gcs_uri = 'gs://' + bucketname + '/' + audio_file_name
transcript = ''
client = speech_client.SpeechClient()
first_lang = 'hi-IN'
second_lang = 'en'
audio = speech.RecognitionAudio(uri=gcs_uri)
config = speech.RecognitionConfig(
encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=8000,
language_code=first_lang,
audio_channel_count=1,
enable_separate_recognition_per_channel=False,
max_alternatives=6,
)
operation = client.long_running_recognize(config, audio)
response = operation.result(timeout=10000)
confidence = 0
num = 0
for result in response.results:
con = 0
tran = ''
for alternative in result.alternatives:
if (alternative.confidence > con):
con = alternative.confidence
tran = alternative.transcript
transcript += tran
confidence = con
return transcript, confidence
def test_recognize_exception(self):
# Mock the API response
channel = ChannelStub(responses=[CustomException()])
client = speech_v1p1beta1.SpeechClient(channel=channel)
# Setup request
encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = 'en-US'
config = {
'encoding': encoding,
'sample_rate_hertz': sample_rate_hertz,
'language_code': language_code
}
uri = 'gs://bucket_name/file_name.flac'
audio = {'uri': uri}
with pytest.raises(CustomException):
client.recognize(config, audio)
def test_recognize_exception(self):
# Mock the API response
channel = ChannelStub(responses=[CustomException()])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = speech_v1p1beta1.SpeechClient()
# Setup request
encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = "en-US"
config = {
"encoding": encoding,
"sample_rate_hertz": sample_rate_hertz,
"language_code": language_code,
}
uri = "gs://bucket_name/file_name.flac"
audio = {"uri": uri}
with pytest.raises(CustomException):
client.recognize(config, audio)
def test_long_running_recognize(self):
# Setup Expected Response
expected_response = {}
expected_response = cloud_speech_pb2.LongRunningRecognizeResponse(
**expected_response)
operation = operations_pb2.Operation(
name='operations/test_long_running_recognize', done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
patch = mock.patch('google.api_core.grpc_helpers.create_channel')
with patch as create_channel:
create_channel.return_value = channel
client = speech_v1p1beta1.SpeechClient()
# Setup Request
encoding = enums.RecognitionConfig.AudioEncoding.FLAC
sample_rate_hertz = 44100
language_code = 'en-US'
config = {
'encoding': encoding,
'sample_rate_hertz': sample_rate_hertz,
'language_code': language_code
}
uri = 'gs://bucket_name/file_name.flac'
audio = {'uri': uri}
response = client.long_running_recognize(config, audio)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = cloud_speech_pb2.LongRunningRecognizeRequest(
config=config, audio=audio)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
