def test_query_time_series_pages():
client = QueryServiceClient(credentials=credentials.AnonymousCredentials, )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.query_time_series),
"__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
metric_service.QueryTimeSeriesResponse(
time_series_data=[
metric.TimeSeriesData(),
metric.TimeSeriesData(),
metric.TimeSeriesData(),
],
next_page_token="abc",
),
metric_service.QueryTimeSeriesResponse(
time_series_data=[],
next_page_token="def",
),
metric_service.QueryTimeSeriesResponse(
time_series_data=[
metric.TimeSeriesData(),
],
next_page_token="ghi",
),
metric_service.QueryTimeSeriesResponse(time_series_data=[
metric.TimeSeriesData(),
metric.TimeSeriesData(),
], ),
RuntimeError,
)
pages = list(client.query_time_series(request={}).pages)
for page_, token in zip(pages, ["abc", "def", "ghi", ""]):
assert page_.raw_page.next_page_token == token
async def test_query_time_series_field_headers_async():
client = QueryServiceAsyncClient(
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 = metric_service.QueryTimeSeriesRequest()
request.name = "name/value"
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.query_time_series),
"__call__") as call:
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
metric_service.QueryTimeSeriesResponse())
await client.query_time_series(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",
"name=name/value",
) in kw["metadata"]
async def test_query_time_series_async(
transport: str = "grpc_asyncio",
request_type=metric_service.QueryTimeSeriesRequest):
client = QueryServiceAsyncClient(
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.query_time_series),
"__call__") as call:
# Designate an appropriate return value for the call.
call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
metric_service.QueryTimeSeriesResponse(
next_page_token="next_page_token_value", ))
response = await client.query_time_series(request)
# Establish that the underlying gRPC stub method was called.
assert len(call.mock_calls)
_, args, _ = call.mock_calls[0]
assert args[0] == metric_service.QueryTimeSeriesRequest()
# Establish that the response is the type that we expect.
assert isinstance(response, pagers.QueryTimeSeriesAsyncPager)
assert response.next_page_token == "next_page_token_value"
async def test_query_time_series_async_pager():
client = QueryServiceAsyncClient(
credentials=credentials.AnonymousCredentials, )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(
type(client.transport.query_time_series),
"__call__",
new_callable=mock.AsyncMock,
) as call:
# Set the response to a series of pages.
call.side_effect = (
metric_service.QueryTimeSeriesResponse(
time_series_data=[
metric.TimeSeriesData(),
metric.TimeSeriesData(),
metric.TimeSeriesData(),
],
next_page_token="abc",
),
metric_service.QueryTimeSeriesResponse(
time_series_data=[],
next_page_token="def",
),
metric_service.QueryTimeSeriesResponse(
time_series_data=[
metric.TimeSeriesData(),
],
next_page_token="ghi",
),
metric_service.QueryTimeSeriesResponse(time_series_data=[
metric.TimeSeriesData(),
metric.TimeSeriesData(),
], ),
RuntimeError,
)
async_pager = await client.query_time_series(request={}, )
assert async_pager.next_page_token == "abc"
responses = []
async for response in async_pager:
responses.append(response)
assert len(responses) == 6
assert all(isinstance(i, metric.TimeSeriesData) for i in responses)
def test_query_time_series_pager():
client = QueryServiceClient(credentials=credentials.AnonymousCredentials, )
# Mock the actual call within the gRPC stub, and fake the request.
with mock.patch.object(type(client.transport.query_time_series),
"__call__") as call:
# Set the response to a series of pages.
call.side_effect = (
metric_service.QueryTimeSeriesResponse(
time_series_data=[
metric.TimeSeriesData(),
metric.TimeSeriesData(),
metric.TimeSeriesData(),
],
next_page_token="abc",
),
metric_service.QueryTimeSeriesResponse(
time_series_data=[],
next_page_token="def",
),
metric_service.QueryTimeSeriesResponse(
time_series_data=[
metric.TimeSeriesData(),
],
next_page_token="ghi",
),
metric_service.QueryTimeSeriesResponse(time_series_data=[
metric.TimeSeriesData(),
metric.TimeSeriesData(),
], ),
RuntimeError,
)
metadata = ()
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("name", ""), )), )
pager = client.query_time_series(request={})
assert pager._metadata == metadata
results = [i for i in pager]
assert len(results) == 6
assert all(isinstance(i, metric.TimeSeriesData) for i in results)