BatchDeleteDatasetStatus

pydantic model openapi_client.models.batch_delete_dataset_status.BatchDeleteDatasetStatus

Status of a dataset that was submitted for batch deletion.

Fields:

• dataset_id (str | None)

• status (str | None)

field dataset_id: Optional[StrictStr] = None (alias 'DatasetId')

The unique identifier of the dataset.

field status: Optional[StrictStr] = None (alias 'Status')

Current lifecycle status of the dataset. Values: “delete-triggered” (async deletion in progress), “delete-success” (deletion completed), “delete-failed” (deletion failed), “active” or “registered” (dataset exists, deletion not yet processed)

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 BatchDeleteDatasetStatus 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 BatchDeleteDatasetStatus from a dict

Return type:

Optional[Self]