gooddata_sdk.catalog.data_source.declarative_model.physical_model.column.CatalogDeclarativeColumn

class gooddata_sdk.catalog.data_source.declarative_model.physical_model.column.CatalogDeclarativeColumn(*, name: str, data_type: str, is_primary_key: Optional[bool] = None, referenced_table_id: Optional[str] = None, referenced_table_column: Optional[str] = None)

Bases: Base

__init__(*, name: str, data_type: str, is_primary_key: Optional[bool] = None, referenced_table_id: Optional[str] = None, referenced_table_column: Optional[str] = None) → None

Method generated by attrs for class CatalogDeclarativeColumn.

Methods

__init__(*, name, data_type[, ...])	Method generated by attrs for class CatalogDeclarativeColumn.
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

name
data_type
is_primary_key
referenced_table_id
referenced_table_column

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.