gooddata_sdk.catalog.workspace.declarative_model.workspace.logical_model.dataset.dataset.CatalogDeclarativeLabel

class gooddata_sdk.catalog.workspace.declarative_model.workspace.logical_model.dataset.dataset.CatalogDeclarativeLabel(*, id: str, title: str, source_column: str, description: Optional[str] = None, tags: Optional[List[str]] = None, value_type: Optional[str] = None)

Bases: Base

__init__(*, id: str, title: str, source_column: str, description: Optional[str] = None, tags: Optional[List[str]] = None, value_type: Optional[str] = None) → None: Method generated by attrs for class CatalogDeclarativeLabel.

Methods

`__init__`(*, id, title, source_column[, ...])	Method generated by attrs for class CatalogDeclarativeLabel.
`client_class`()
`from_api`(entity)	Creates object from entity passed by client class, which represents it as dictionary.
`from_dict`(data[, camel_case])	Creates object from dictionary.
`to_api`()
`to_dict`([camel_case])	Converts object into dictionary.

Attributes

`id`
`title`
`source_column`
`description`
`tags`
`value_type`

classmethod from_api(entity: Dict[str, Any]) → T: Creates object from entity passed by client class, which represents it as dictionary.

classmethod from_dict(data: Dict[str, Any], camel_case: bool = True) → T: Creates object from dictionary. It needs to be specified if the dictionary is in camelCase or snake_case.

to_dict(camel_case: bool = True) → Dict[str, Any]: Converts object into dictionary. Optional argument if the dictionary should be camelCase or snake_case can be specified.