DatasourceDetailsDatasourceConfigClusterConfigAutoScalingConfig

pydantic model openapi_client.models.datasource_details_datasource_config_cluster_config_auto_scaling_config.DatasourceDetailsDatasourceConfigClusterConfigAutoScalingConfig

DatasourceDetailsDatasourceConfigClusterConfigAutoScalingConfig

Fields:

• max_storage_size (int | None)

• min_storage_size (int | None)

• scale_out_cooldown (int | None)

• target_utilization (int | None)

field min_storage_size: Optional[StrictInt] = None (alias 'MinStorageSize')

field max_storage_size: Optional[StrictInt] = None (alias 'MaxStorageSize')

field target_utilization: Optional[StrictInt] = None (alias 'TargetUtilization')

field scale_out_cooldown: Optional[StrictInt] = None (alias 'ScaleOutCooldown')

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 DatasourceDetailsDatasourceConfigClusterConfigAutoScalingConfig 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 DatasourceDetailsDatasourceConfigClusterConfigAutoScalingConfig from a dict

Return type:

Optional[Self]