gooddata_sdk.catalog.workspace.declarative_model.workspace.logical_model.dataset.dataset.CatalogDeclarativeReference

class gooddata_sdk.catalog.workspace.declarative_model.workspace.logical_model.dataset.dataset.CatalogDeclarativeReference(*, identifier: CatalogReferenceIdentifier, multivalue: bool, source_columns: List[str])

Bases: Base

__init__(*, identifier: CatalogReferenceIdentifier, multivalue: bool, source_columns: List[str]) → None

Method generated by attrs for class CatalogDeclarativeReference.

Methods

__init__(*, identifier, multivalue, ...)	Method generated by attrs for class CatalogDeclarativeReference.
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

identifier
multivalue
source_columns

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.