ClusterMetrics

pydantic model openapi_client.models.cluster_metrics.ClusterMetrics

Response when operations=metrics for clustertype dwh or os. Wrapped under Clusters with ClusterType and CloudWatch Metrics (includes StartTime/EndTime plus metric datapoints). Note this wrapper does NOT apply to clustertype=rag, whose metrics are returned flat at the top level: see RagMetricsResponse.

Fields:
field clusters: Optional[ClusterMetricsClusters] = None (alias 'Clusters')
to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of ClusterMetrics from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

  • None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of ClusterMetrics from a dict

Return type:

Optional[Self]