def test_update_autoscaling_policy(self):
# Setup Expected Response
id_ = "id3355"
name = "name3373707"
expected_response = {"id": id_, "name": name}
expected_response = autoscaling_policies_pb2.AutoscalingPolicy(
**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = dataproc_v1beta2.AutoscalingPolicyServiceClient()
# Setup Request
policy = {}
response = client.update_autoscaling_policy(policy)
assert expected_response == response
assert len(channel.requests) == 1
expected_request = autoscaling_policies_pb2.UpdateAutoscalingPolicyRequest(
policy=policy)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def update_autoscaling_policy(
self,
policy,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Updates (replaces) autoscaling policy.
Disabled check for update\_mask, because all updates will be full
replacements.
Example:
>>> from google.cloud import dataproc_v1beta2
>>>
>>> client = dataproc_v1beta2.AutoscalingPolicyServiceClient()
>>>
>>> # TODO: Initialize `policy`:
>>> policy = {}
>>>
>>> response = client.update_autoscaling_policy(policy)
Args:
policy (Union[dict, ~google.cloud.dataproc_v1beta2.types.AutoscalingPolicy]): Required. The updated autoscaling policy.
If a dict is provided, it must be of the same form as the protobuf
message :class:`~google.cloud.dataproc_v1beta2.types.AutoscalingPolicy`
retry (Optional[google.api_core.retry.Retry]): A retry object used
to retry requests. If ``None`` is specified, requests will
be retried using a default configuration.
timeout (Optional[float]): The amount of time, in seconds, to wait
for the request to complete. Note that if ``retry`` is
specified, the timeout applies to each individual attempt.
metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
that is provided to the method.
Returns:
A :class:`~google.cloud.dataproc_v1beta2.types.AutoscalingPolicy` instance.
Raises:
google.api_core.exceptions.GoogleAPICallError: If the request
failed for any reason.
google.api_core.exceptions.RetryError: If the request failed due
to a retryable error and retry attempts failed.
ValueError: If the parameters are invalid.
"""
# Wrap the transport method to add retry and timeout logic.
if "update_autoscaling_policy" not in self._inner_api_calls:
self._inner_api_calls[
"update_autoscaling_policy"] = google.api_core.gapic_v1.method.wrap_method(
self.transport.update_autoscaling_policy,
default_retry=self.
_method_configs["UpdateAutoscalingPolicy"].retry,
default_timeout=self.
_method_configs["UpdateAutoscalingPolicy"].timeout,
client_info=self._client_info,
)
request = autoscaling_policies_pb2.UpdateAutoscalingPolicyRequest(
policy=policy)
if metadata is None:
metadata = []
metadata = list(metadata)
try:
routing_header = [("policy.name", policy.name)]
except AttributeError:
pass
else:
routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
routing_header)
metadata.append(routing_metadata)
return self._inner_api_calls["update_autoscaling_policy"](
request, retry=retry, timeout=timeout, metadata=metadata)