async def test_async_batch_annotate_files_async(
transport: str = "grpc_asyncio",
request_type=image_annotator.AsyncBatchAnnotateFilesRequest,
):
client = ImageAnnotatorAsyncClient(
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.async_batch_annotate_files), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam")
)
response = await client.async_batch_annotate_files(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == image_annotator.AsyncBatchAnnotateFilesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, future.Future)
async def test_batch_annotate_images_flattened_async():
client = ImageAnnotatorAsyncClient(credentials=credentials.AnonymousCredentials(),)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.batch_annotate_images), "__call__"
) as call:
# Designate an appropriate return value for the call.
call.return_value = image_annotator.BatchAnnotateImagesResponse()
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
image_annotator.BatchAnnotateImagesResponse()
)
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.batch_annotate_images(
requests=[
image_annotator.AnnotateImageRequest(
image=image_annotator.Image(content=b"content_blob")
)
],
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].requests == [
image_annotator.AnnotateImageRequest(
image=image_annotator.Image(content=b"content_blob")
)
]
async def test_async_batch_annotate_files_flattened_async():
client = ImageAnnotatorAsyncClient(
credentials=credentials.AnonymousCredentials(), )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.async_batch_annotate_files),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = operations_pb2.Operation(name="operations/op")
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
operations_pb2.Operation(name="operations/spam"))
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
response = await client.async_batch_annotate_files(requests=[
image_annotator.AsyncAnnotateFileRequest(
input_config=image_annotator.InputConfig(
gcs_source=image_annotator.GcsSource(uri="uri_value")))
], )
# Establish that the underlying call was made with the expected
# request object values.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0].requests == [
image_annotator.AsyncAnnotateFileRequest(
input_config=image_annotator.InputConfig(
gcs_source=image_annotator.GcsSource(uri="uri_value")))
]
def test_image_annotator_grpc_lro_async_client():
client = ImageAnnotatorAsyncClient(
credentials=credentials.AnonymousCredentials(), transport="grpc_asyncio",
)
transport = client.transport
# Ensure that we have a api-core operations client.
assert isinstance(transport.operations_client, operations_v1.OperationsAsyncClient,)
# Ensure that subsequent calls to the property send the exact same object.
assert transport.operations_client is transport.operations_client
async def test_batch_annotate_images_flattened_error_async():
client = ImageAnnotatorAsyncClient(credentials=credentials.AnonymousCredentials(),)
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.batch_annotate_images(
image_annotator.BatchAnnotateImagesRequest(),
requests=[
image_annotator.AnnotateImageRequest(
image=image_annotator.Image(content=b"content_blob")
)
],
)
async def test_async_batch_annotate_files_flattened_error_async():
client = ImageAnnotatorAsyncClient(
credentials=credentials.AnonymousCredentials(), )
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
await client.async_batch_annotate_files(
image_annotator.AsyncBatchAnnotateFilesRequest(),
requests=[
image_annotator.AsyncAnnotateFileRequest(
input_config=image_annotator.InputConfig(
gcs_source=image_annotator.GcsSource(uri="uri_value")))
],
)