def test_aggregated_list_rest_flattened_error():
client = MachineTypesClient(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.aggregated_list(
compute.AggregatedListMachineTypesRequest(), project="project_value",
)
def __init__(self,
method: Callable[..., compute.MachineTypeAggregatedList],
request: compute.AggregatedListMachineTypesRequest,
response: compute.MachineTypeAggregatedList,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiate the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (google.cloud.compute_v1.types.AggregatedListMachineTypesRequest):
The initial request object.
response (google.cloud.compute_v1.types.MachineTypeAggregatedList):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = compute.AggregatedListMachineTypesRequest(request)
self._response = response
self._metadata = metadata
def aggregated_list(
self,
request: compute.AggregatedListMachineTypesRequest = None,
*,
project: str = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.AggregatedListPager:
r"""Retrieves an aggregated list of machine types.
Args:
request (google.cloud.compute_v1.types.AggregatedListMachineTypesRequest):
The request object. A request message for
MachineTypes.AggregatedList. See the method description
for details.
project (str):
Project ID for this request.
This corresponds to the ``project`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
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.compute_v1.services.machine_types.pagers.AggregatedListPager:
Iterating over this object will yield
results and resolve additional pages
automatically.
"""
# Create or coerce a protobuf request object.
# Sanity check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([project])
if request is not None and has_flattened_params:
raise ValueError("If the `request` argument is set, then none of "
"the individual field arguments should be set.")
# Minor optimization to avoid making a copy if the user passes
# in a compute.AggregatedListMachineTypesRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, compute.AggregatedListMachineTypesRequest):
request = compute.AggregatedListMachineTypesRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if project is not None:
request.project = project
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.aggregated_list]
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# This method is paged; wrap the response in a pager, which provides
# an `__iter__` convenience method.
response = pagers.AggregatedListPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
def __call__(
self,
request: compute.AggregatedListMachineTypesRequest,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> compute.MachineTypeAggregatedList:
r"""Call the aggregated list method over HTTP.
Args:
request (~.compute.AggregatedListMachineTypesRequest):
The request object. A request message for
MachineTypes.AggregatedList. See the
method description for details.
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:
~.compute.MachineTypeAggregatedList:
"""
http_options = [
{
"method": "get",
"uri": "/compute/v1/projects/{project}/aggregated/machineTypes",
},
]
request_kwargs = compute.AggregatedListMachineTypesRequest.to_dict(request)
transcoded_request = path_template.transcode(http_options, **request_kwargs)
uri = transcoded_request["uri"]
method = transcoded_request["method"]
# Jsonify the query params
query_params = json.loads(
compute.AggregatedListMachineTypesRequest.to_json(
compute.AggregatedListMachineTypesRequest(
transcoded_request["query_params"]
),
including_default_value_fields=False,
use_integers_for_enums=False,
)
)
query_params.update(self._get_unset_required_fields(query_params))
# Send the request
headers = dict(metadata)
headers["Content-Type"] = "application/json"
response = getattr(self._session, method)(
# Replace with proper schema configuration (http/https) logic
"https://{host}{uri}".format(host=self._host, uri=uri),
timeout=timeout,
headers=headers,
params=rest_helpers.flatten_query_params(query_params),
)
# In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
# subclass.
if response.status_code >= 400:
raise core_exceptions.from_http_response(response)
# Return the response
return compute.MachineTypeAggregatedList.from_json(
response.content, ignore_unknown_fields=True
)
