OptimizerListResponse

pydantic model openapi_client.models.optimizer_list_response.OptimizerListResponse

GET /datasets/{id}/optimizers response. Without type: Compaction/ Retention/OrphanFileDeletion map (flat OptimizerListItem fields). With type: Type/Enabled/Configuration/LastRun. When typed optimizer is missing: Message only.

Fields:
field compaction: Optional[OptimizerListItem] = None (alias 'Compaction')
field retention: Optional[OptimizerListItem] = None (alias 'Retention')
field orphan_file_deletion: Optional[OptimizerListItem] = None (alias 'OrphanFileDeletion')
field type: Optional[StrictStr] = None (alias 'Type')
field enabled: Optional[StrictBool] = None (alias 'Enabled')
field configuration: Optional[Dict[str, Any]] = None (alias 'Configuration')
field last_run: Optional[OptimizerRun] = None (alias 'LastRun')
field message: Optional[StrictStr] = None (alias 'Message')

Returned when a typed GET finds no optimizer.

field additional_properties: Dict[str, Any] = {}
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 OptimizerListResponse 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.

  • Fields in self.additional_properties are added to the output dict.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of OptimizerListResponse from a dict

Return type:

Optional[Self]