async def test_compute_message_stats_field_headers_async():
client = TopicStatsServiceAsyncClient(
credentials=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 = topic_stats.ComputeMessageStatsRequest()
request.topic = "topic/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.compute_message_stats),
"__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
topic_stats.ComputeMessageStatsResponse())
await client.compute_message_stats(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 field header was sent.
_, _, kw = call.mock_calls[0]
assert (
"x-goog-request-params",
"topic=topic/value",
) in kw["metadata"]
def compute_message_stats(
self,
request: topic_stats.ComputeMessageStatsRequest = None,
*,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> topic_stats.ComputeMessageStatsResponse:
r"""Compute statistics about a range of messages in a
given topic and partition.
Args:
request (google.cloud.pubsublite_v1.types.ComputeMessageStatsRequest):
The request object. Compute statistics about a range of
messages in a given topic and partition.
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.cloud.pubsublite_v1.types.ComputeMessageStatsResponse:
Response containing stats for
messages in the requested topic and
partition.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a topic_stats.ComputeMessageStatsRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, topic_stats.ComputeMessageStatsRequest):
request = topic_stats.ComputeMessageStatsRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.compute_message_stats]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("topic", request.topic), )), )
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
async def compute_message_stats(
self,
request: Union[topic_stats.ComputeMessageStatsRequest, dict] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> topic_stats.ComputeMessageStatsResponse:
r"""Compute statistics about a range of messages in a
given topic and partition.
Args:
request (Union[google.cloud.pubsublite_v1.types.ComputeMessageStatsRequest, dict]):
The request object. Compute statistics about a range of
messages in a given topic and partition.
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.cloud.pubsublite_v1.types.ComputeMessageStatsResponse:
Response containing stats for
messages in the requested topic and
partition.
"""
# Create or coerce a protobuf request object.
request = topic_stats.ComputeMessageStatsRequest(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.compute_message_stats,
default_timeout=None,
client_info=DEFAULT_CLIENT_INFO,
)
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("topic", request.topic), )), )
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
def test_compute_message_stats_empty_call():
# This test is a coverage failsafe to make sure that totally empty calls,
# i.e. request == None and no flattened fields passed, work.
client = TopicStatsServiceClient(
credentials=credentials.AnonymousCredentials(),
transport="grpc",
)
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.compute_message_stats),
"__call__") as call:
client.compute_message_stats()
call.assert_called()
_, args, _ = call.mock_calls[0]
assert args[0] == topic_stats.ComputeMessageStatsRequest()
async def test_compute_message_stats_async(
transport: str = "grpc_asyncio",
request_type=topic_stats.ComputeMessageStatsRequest):
client = TopicStatsServiceAsyncClient(
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.compute_message_stats),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
topic_stats.ComputeMessageStatsResponse(
message_count=1389,
message_bytes=1387,
))
response = await client.compute_message_stats(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == topic_stats.ComputeMessageStatsRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, topic_stats.ComputeMessageStatsResponse)
assert response.message_count == 1389
assert response.message_bytes == 1387
async def compute_message_stats(
self,
request: topic_stats.ComputeMessageStatsRequest = None,
*,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> topic_stats.ComputeMessageStatsResponse:
r"""Compute statistics about a range of messages in a
given topic and partition.
Args:
request (:class:`google.cloud.pubsublite_v1.types.ComputeMessageStatsRequest`):
The request object. Compute statistics about a range of
messages in a given topic and partition.
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.cloud.pubsublite_v1.types.ComputeMessageStatsResponse:
Response containing stats for
messages in the requested topic and
partition.
"""
# Create or coerce a protobuf request object.
request = topic_stats.ComputeMessageStatsRequest(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.compute_message_stats,
default_retry=retries.Retry(
initial=0.1,
maximum=60.0,
multiplier=1.3,
predicate=retries.if_exception_type(
exceptions.Aborted,
exceptions.DeadlineExceeded,
exceptions.InternalServerError,
exceptions.ServiceUnavailable,
exceptions.Unknown,
),
deadline=600.0,
),
default_timeout=600.0,
client_info=DEFAULT_CLIENT_INFO,
)
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("topic", request.topic),)),
)
# Send the request.
response = await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response