def test_get_rest_flattened():
client = MachineTypesClient(
credentials=ga_credentials.AnonymousCredentials(), )
# Mock the http request call within the method and fake a response.
with mock.patch.object(Session, "request") as req:
# Designate an appropriate value for the returned response.
return_value = compute.MachineType()
# Wrap the value into a proper Response obj
json_return_value = compute.MachineType.to_json(return_value)
response_value = Response()
response_value.status_code = 200
response_value._content = json_return_value.encode("UTF-8")
req.return_value = response_value
# Call the method with a truthy value for each flattened field,
# using the keyword arguments to the method.
client.get(
project="project_value",
zone="zone_value",
machine_type="machine_type_value",
)
# Establish that the underlying call was made with the expected
# request object values.
assert len(req.mock_calls) == 1
_, http_call, http_params = req.mock_calls[0]
body = http_params.get("data")
params = http_params.get("params")
assert "project_value" in http_call[1] + str(body) + str(params)
assert "zone_value" in http_call[1] + str(body) + str(params)
assert "machine_type_value" in http_call[1] + str(body) + str(params)
def test_get_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.get(
compute.GetMachineTypeRequest(),
project="project_value",
zone="zone_value",
machine_type="machine_type_value",
)
def test_get_rest(transport: str = "rest", request_type=compute.GetMachineTypeRequest):
client = MachineTypesClient(
credentials=ga_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 http request call within the method and fake a response.
with mock.patch.object(Session, "request") as req:
# Designate an appropriate value for the returned response.
return_value = compute.MachineType(
accelerators=[compute.Accelerators(guest_accelerator_count=2452)],
creation_timestamp="creation_timestamp_value",
deprecated=compute.DeprecationStatus(deleted="deleted_value"),
description="description_value",
guest_cpus=1090,
id="id_value",
image_space_gb=1430,
is_shared_cpu=True,
kind="kind_value",
maximum_persistent_disks=2603,
maximum_persistent_disks_size_gb="maximum_persistent_disks_size_gb_value",
memory_mb=967,
name="name_value",
scratch_disks=[compute.ScratchDisks(disk_gb=723)],
self_link="self_link_value",
zone="zone_value",
)
# Wrap the value into a proper Response obj
json_return_value = compute.MachineType.to_json(return_value)
response_value = Response()
response_value.status_code = 200
response_value._content = json_return_value.encode("UTF-8")
req.return_value = response_value
response = client.get(request)
# Establish that the response is the type that we expect.
assert isinstance(response, compute.MachineType)
assert response.accelerators == [compute.Accelerators(guest_accelerator_count=2452)]
assert response.creation_timestamp == "creation_timestamp_value"
assert response.deprecated == compute.DeprecationStatus(deleted="deleted_value")
assert response.description == "description_value"
assert response.guest_cpus == 1090
assert response.id == "id_value"
assert response.image_space_gb == 1430
assert response.is_shared_cpu is True
assert response.kind == "kind_value"
assert response.maximum_persistent_disks == 2603
assert (
response.maximum_persistent_disks_size_gb
== "maximum_persistent_disks_size_gb_value"
)
assert response.memory_mb == 967
assert response.name == "name_value"
assert response.scratch_disks == [compute.ScratchDisks(disk_gb=723)]
assert response.self_link == "self_link_value"
assert response.zone == "zone_value"