def test_credentials_transport_error():
# It is an error to provide credentials and a transport instance.
transport = transports.SpeechGrpcTransport(
credentials=credentials.AnonymousCredentials(), )
with pytest.raises(ValueError):
client = SpeechClient(
credentials=credentials.AnonymousCredentials(),
transport=transport,
)
# It is an error to provide a credentials file and a transport instance.
transport = transports.SpeechGrpcTransport(
credentials=credentials.AnonymousCredentials(), )
with pytest.raises(ValueError):
client = SpeechClient(
client_options={"credentials_file": "credentials.json"},
transport=transport,
)
# It is an error to provide scopes and a transport instance.
transport = transports.SpeechGrpcTransport(
credentials=credentials.AnonymousCredentials(), )
with pytest.raises(ValueError):
client = SpeechClient(
client_options={"scopes": ["1", "2"]},
transport=transport,
)
def test_speech_host_with_port():
client = SpeechClient(
credentials=credentials.AnonymousCredentials(),
client_options=client_options.ClientOptions(
api_endpoint="speech.googleapis.com:8000"),
)
assert client.transport._host == "speech.googleapis.com:8000"
def test_transport_grpc_default():
# A client should use the gRPC transport by default.
client = SpeechClient(credentials=credentials.AnonymousCredentials(), )
assert isinstance(
client.transport,
transports.SpeechGrpcTransport,
)
def test_long_running_recognize_flattened():
client = SpeechClient(credentials=credentials.AnonymousCredentials(), )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.long_running_recognize),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.long_running_recognize(
config=cloud_speech.RecognitionConfig(
encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
),
audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0].config == cloud_speech.RecognitionConfig(
encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16)
assert args[0].audio == cloud_speech.RecognitionAudio(
content=b"content_blob")
def test_streaming_recognize(
transport: str = "grpc",
request_type=cloud_speech.StreamingRecognizeRequest):
client = SpeechClient(
credentials=credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
requests = [request]
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.streaming_recognize),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = iter([cloud_speech.StreamingRecognizeResponse()])
response = client.streaming_recognize(iter(requests))
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert next(args[0]) == request
# Establish that the response is the type that we expect.
for message in response:
assert isinstance(message, cloud_speech.StreamingRecognizeResponse)
def test_long_running_recognize(
transport: str = "grpc",
request_type=cloud_speech.LongRunningRecognizeRequest):
client = SpeechClient(
credentials=credentials.AnonymousCredentials(),
transport=transport,
)
# Everything is optional in proto3 as far as the runtime is concerned,
# and we are mocking out the actual API, so just send an empty request.
request = request_type()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.long_running_recognize),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/spam")
response = client.long_running_recognize(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == cloud_speech.LongRunningRecognizeRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
def test_speech_auth_adc():
# If no credentials are provided, we should use ADC credentials.
with mock.patch.object(auth, "default") as adc:
adc.return_value = (credentials.AnonymousCredentials(), None)
SpeechClient()
adc.assert_called_once_with(
scopes=("https://www.googleapis.com/auth/cloud-platform", ),
quota_project_id=None,
)
def test_long_running_recognize_flattened_error():
client = SpeechClient(credentials=credentials.AnonymousCredentials(), )
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.long_running_recognize(
cloud_speech.LongRunningRecognizeRequest(),
config=cloud_speech.RecognitionConfig(
encoding=cloud_speech.RecognitionConfig.AudioEncoding.LINEAR16
),
audio=cloud_speech.RecognitionAudio(content=b"content_blob"),
)
def test_speech_grpc_lro_client():
client = SpeechClient(
credentials=credentials.AnonymousCredentials(),
transport="grpc",
)
transport = client.transport
# Ensure that we have a api-core operations client.
assert isinstance(
transport.operations_client,
operations_v1.OperationsClient,
)
# Ensure that subsequent calls to the property send the exact same object.
assert transport.operations_client is transport.operations_client
def test_speech_client_client_options_from_dict():
with mock.patch(
"google.cloud.speech_v1.services.speech.transports.SpeechGrpcTransport.__init__"
) as grpc_transport:
grpc_transport.return_value = None
client = SpeechClient(
client_options={"api_endpoint": "squid.clam.whelk"})
grpc_transport.assert_called_once_with(
credentials=None,
credentials_file=None,
host="squid.clam.whelk",
scopes=None,
ssl_channel_credentials=None,
quota_project_id=None,
client_info=transports.base.DEFAULT_CLIENT_INFO,
)
def test_client_withDEFAULT_CLIENT_INFO():
client_info = gapic_v1.client_info.ClientInfo()
with mock.patch.object(transports.SpeechTransport,
"_prep_wrapped_messages") as prep:
client = SpeechClient(
credentials=credentials.AnonymousCredentials(),
client_info=client_info,
)
prep.assert_called_once_with(client_info)
with mock.patch.object(transports.SpeechTransport,
"_prep_wrapped_messages") as prep:
transport_class = SpeechClient.get_transport_class()
transport = transport_class(
credentials=credentials.AnonymousCredentials(),
client_info=client_info,
)
prep.assert_called_once_with(client_info)
def test_transport_instance():
# A client may be instantiated with a custom transport instance.
transport = transports.SpeechGrpcTransport(
credentials=credentials.AnonymousCredentials(), )
client = SpeechClient(transport=transport)
assert client.transport is transport