RegisteredDatasetDataPermissionsInner

pydantic model openapi_client.models.registered_dataset_data_permissions_inner.RegisteredDatasetDataPermissionsInner

RegisteredDatasetDataPermissionsInner

Fields:

• authorized_tags (List[str] | None)

• columns (openapi_client.models.registered_dataset_data_permissions_inner_columns.RegisteredDatasetDataPermissionsInnerColumns | None)

• name (str | None)

• rows (openapi_client.models.registered_dataset_data_permissions_inner_rows.RegisteredDatasetDataPermissionsInnerRows | None)

• total_columns (int | None)

field name: Optional[StrictStr] = None (alias 'Name')

Short data filter name.

field columns: Optional[RegisteredDatasetDataPermissionsInnerColumns] = None (alias 'Columns')

field rows: Optional[RegisteredDatasetDataPermissionsInnerRows] = None (alias 'Rows')

field authorized_tags: Optional[List[StrictStr]] = None (alias 'AuthorizedTags')

field total_columns: Optional[StrictInt] = None (alias 'TotalColumns')

Total number of columns in the dataset schema at query time.

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 RegisteredDatasetDataPermissionsInner 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 RegisteredDatasetDataPermissionsInner from a dict

Return type:

Optional[Self]