def test_mutate_assets_flattened():
client = AssetServiceClient(
credentials=ga_credentials.AnonymousCredentials(), )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.mutate_assets),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = asset_service.MutateAssetsResponse()
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.mutate_assets(
customer_id='customer_id_value',
operations=[
asset_service.AssetOperation(create=asset.Asset(
resource_name='resource_name_value'))
],
)
# 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].customer_id == 'customer_id_value'
assert args[0].operations == [
asset_service.AssetOperation(create=asset.Asset(
resource_name='resource_name_value'))
]
def test_get_asset_field_headers():
client = AssetServiceClient(
credentials=ga_credentials.AnonymousCredentials(), )
# Any value that is part of the HTTP/1.1 URI should be sent as
# a field header. Set these to a non-empty value.
request = asset_service.GetAssetRequest()
request.resource_name = 'resource_name/value'
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.get_asset),
'__call__') as call:
call.return_value = asset.Asset()
client.get_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the field header was sent.
_, _, kw = call.mock_calls[0]
assert (
'x-goog-request-params',
'resource_name=resource_name/value',
) in kw['metadata']
def test_mutate_assets_flattened_error():
client = AssetServiceClient(
credentials=ga_credentials.AnonymousCredentials(), )
# Attempting to call a method with both a request object and flattened
# fields is an error.
with pytest.raises(ValueError):
client.mutate_assets(
asset_service.MutateAssetsRequest(),
customer_id='customer_id_value',
operations=[
asset_service.AssetOperation(create=asset.Asset(
resource_name='resource_name_value'))
],
)
def test_get_asset(transport: str = 'grpc',
request_type=asset_service.GetAssetRequest):
client = AssetServiceClient(
credentials=ga_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.get_asset),
'__call__') as call:
# Designate an appropriate return value for the call.
call.return_value = asset.Asset(
resource_name='resource_name_value',
id=205,
name='name_value',
type_=asset_type.AssetTypeEnum.AssetType.UNKNOWN,
youtube_video_asset=asset_types.YoutubeVideoAsset(
youtube_video_id='youtube_video_id_value'),
)
response = client.get_asset(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls) == 1
_, args, _ = call.mock_calls[0]
assert args[0] == asset_service.GetAssetRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, asset.Asset)
assert response.resource_name == 'resource_name_value'
assert response.id == 205
assert response.name == 'name_value'
assert response.type_ == asset_type.AssetTypeEnum.AssetType.UNKNOWN