Returns the metric policy for the specified container.
Parameters:
-
container_name
(ContainerName)
–
The name of the container that is associated with the metric policy.
Raises:
Source code in docs_src/capo_mediastore/_services/media_store.py
| def get_metric_policy(
self,
container_name: "capo_mediastore.types.container_name.ContainerName",
*,
config_overrides: Optional[MediaStoreClientConfig] = None,
) -> "capo_mediastore.types.get_metric_policy_output.GetMetricPolicyOutput":
"""<p>Returns the metric policy for the specified container. </p>
Args:
container_name: <p>The name of the container that is associated with the metric policy.</p>
Raises:
capo_mediastore.errors.container_in_use_exception.ContainerInUseException: <p>The container that you specified in the request already exists or is being updated.</p>
capo_mediastore.errors.container_not_found_exception.ContainerNotFoundException: <p>The container that you specified in the request does not exist.</p>
capo_mediastore.errors.internal_server_error.InternalServerError: <p>The service is temporarily unavailable.</p>
capo_mediastore.errors.policy_not_found_exception.PolicyNotFoundException: <p>The policy that you specified in the request does not exist.</p>
capo_mediastore.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_mediastore.types.get_metric_policy_input.GetMetricPolicyInput]",
) -> OperationResponse[
"capo_mediastore.types.get_metric_policy_output.GetMetricPolicyOutput"
]:
import capo_mediastore._operations.media_store_20170901.get_metric_policy
output, http_response = (
capo_mediastore._operations.media_store_20170901.get_metric_policy.get_metric_policy(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetMetricPolicy")
)
input_: capo_mediastore.types.get_metric_policy_input.GetMetricPolicyInput = {
"container_name": container_name
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|