def test_get_rest_flattened_error():
client = AcceleratorTypesClient(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.get(
compute.GetAcceleratorTypeRequest(),
project="project_value",
zone="zone_value",
accelerator_type="accelerator_type_value",
)
def get(
self,
request: compute.GetAcceleratorTypeRequest = None,
*,
project: str = None,
zone: str = None,
accelerator_type: str = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> compute.AcceleratorType:
r"""Returns the specified accelerator type.
Args:
request (google.cloud.compute_v1.types.GetAcceleratorTypeRequest):
The request object. A request message for
AcceleratorTypes.Get. 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.
zone (str):
The name of the zone for this
request.
This corresponds to the ``zone`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
accelerator_type (str):
Name of the accelerator type to
return.
This corresponds to the ``accelerator_type`` 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.types.AcceleratorType:
Represents an Accelerator Type resource.
Google Cloud Platform provides graphics processing
units (accelerators) that you can add to VM instances
to improve or accelerate performance when working
with intensive workloads. For more information, read
GPUs on Compute Engine. (== resource_for
{$api_version}.acceleratorTypes ==)
"""
# 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, zone, accelerator_type])
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.GetAcceleratorTypeRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, compute.GetAcceleratorTypeRequest):
request = compute.GetAcceleratorTypeRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if project is not None:
request.project = project
if zone is not None:
request.zone = zone
if accelerator_type is not None:
request.accelerator_type = accelerator_type
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.get]
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
def __call__(
self,
request: compute.GetAcceleratorTypeRequest,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> compute.AcceleratorType:
r"""Call the get method over HTTP.
Args:
request (~.compute.GetAcceleratorTypeRequest):
The request object. A request message for
AcceleratorTypes.Get. 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.AcceleratorType:
Represents an Accelerator Type
resource. Google Cloud Platform provides
graphics processing units (accelerators)
that you can add to VM instances to
improve or accelerate performance when
working with intensive workloads. For
more information, read GPUs on Compute
Engine.
"""
http_options = [
{
"method":
"get",
"uri":
"/compute/v1/projects/{project}/zones/{zone}/acceleratorTypes/{accelerator_type}",
},
]
request_kwargs = compute.GetAcceleratorTypeRequest.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.GetAcceleratorTypeRequest.to_json(
compute.GetAcceleratorTypeRequest(
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.AcceleratorType.from_json(
response.content, ignore_unknown_fields=True)