def update_autoscaling_policy(
self,
request: autoscaling_policies.UpdateAutoscalingPolicyRequest = None,
*,
policy: autoscaling_policies.AutoscalingPolicy = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> autoscaling_policies.AutoscalingPolicy:
r"""Updates (replaces) autoscaling policy.
Disabled check for update_mask, because all updates will be full
replacements.
Args:
request (:class:`~.autoscaling_policies.UpdateAutoscalingPolicyRequest`):
The request object. A request to update an autoscaling
policy.
policy (:class:`~.autoscaling_policies.AutoscalingPolicy`):
Required. The updated autoscaling
policy.
This corresponds to the ``policy`` 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:
~.autoscaling_policies.AutoscalingPolicy:
Describes an autoscaling policy for
Dataproc cluster autoscaler.
"""
# 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([policy])
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 autoscaling_policies.UpdateAutoscalingPolicyRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request,
autoscaling_policies.UpdateAutoscalingPolicyRequest):
request = autoscaling_policies.UpdateAutoscalingPolicyRequest(
request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if policy is not None:
request.policy = policy
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.update_autoscaling_policy]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("policy.name", request.policy.name), )), )
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
async def update_autoscaling_policy(
self,
request: autoscaling_policies.UpdateAutoscalingPolicyRequest = None,
*,
policy: autoscaling_policies.AutoscalingPolicy = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> autoscaling_policies.AutoscalingPolicy:
r"""Updates (replaces) autoscaling policy.
Disabled check for update_mask, because all updates will be full
replacements.
Args:
request (:class:`google.cloud.dataproc_v1beta2.types.UpdateAutoscalingPolicyRequest`):
The request object. A request to update an autoscaling
policy.
policy (:class:`google.cloud.dataproc_v1beta2.types.AutoscalingPolicy`):
Required. The updated autoscaling
policy.
This corresponds to the ``policy`` 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.dataproc_v1beta2.types.AutoscalingPolicy:
Describes an autoscaling policy for
Dataproc cluster autoscaler.
"""
# 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([policy])
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."
)
request = autoscaling_policies.UpdateAutoscalingPolicyRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if policy is not None:
request.policy = policy
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.update_autoscaling_policy,
default_retry=retries.Retry(
initial=0.1,
maximum=60.0,
multiplier=1.3,
predicate=retries.if_exception_type(
exceptions.DeadlineExceeded, exceptions.ServiceUnavailable,
),
deadline=600.0,
),
default_timeout=600.0,
client_info=DEFAULT_CLIENT_INFO,
)
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("policy.name", request.policy.name),)
),
)
# Send the request.
response = await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
