async def test_batch_run_pivot_reports_async(transport: str = "grpc_asyncio"):
client = AlphaAnalyticsDataAsyncClient(
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 = analytics_data_api.BatchRunPivotReportsRequest()
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client._client._transport.batch_run_pivot_reports),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
analytics_data_api.BatchRunPivotReportsResponse())
response = await client.batch_run_pivot_reports(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == request
# Establish that the response is the type that we expect.
assert isinstance(response,
analytics_data_api.BatchRunPivotReportsResponse)
def batch_run_pivot_reports(
self,
request: analytics_data_api.BatchRunPivotReportsRequest = None,
*,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_data_api.BatchRunPivotReportsResponse:
r"""Returns multiple pivot reports in a batch. All
reports must be for the same Entity.
Args:
request (google.analytics.data_v1alpha.types.BatchRunPivotReportsRequest):
The request object. The batch request containing
multiple pivot report requests.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.analytics.data_v1alpha.types.BatchRunPivotReportsResponse:
The batch response containing
multiple pivot reports.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a analytics_data_api.BatchRunPivotReportsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request,
analytics_data_api.BatchRunPivotReportsRequest):
request = analytics_data_api.BatchRunPivotReportsRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.batch_run_pivot_reports]
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
async def batch_run_pivot_reports(
self,
request: analytics_data_api.BatchRunPivotReportsRequest = None,
*,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> analytics_data_api.BatchRunPivotReportsResponse:
r"""Returns multiple pivot reports in a batch. All
reports must be for the same Entity.
Args:
request (:class:`google.analytics.data_v1alpha.types.BatchRunPivotReportsRequest`):
The request object. The batch request containing
multiple pivot report requests.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.analytics.data_v1alpha.types.BatchRunPivotReportsResponse:
The batch response containing
multiple pivot reports.
"""
# Create or coerce a protobuf request object.
request = analytics_data_api.BatchRunPivotReportsRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.batch_run_pivot_reports,
default_timeout=60.0,
client_info=DEFAULT_CLIENT_INFO,
)
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
