def convert_column_to_int_or_id(type, column, registry=None):
if column.primary_key or column.foreign_keys:
return graphene.ID(
description=get_column_doc(column),
required=not (is_column_nullable(column)),
)
else:
return graphene.Int(
description=get_column_doc(column),
required=not (is_column_nullable(column)),
)
def convert_json_to_generic_scalar(type, column, registry=None):
return GenericScalar(
description=get_column_doc(column),
required=not(is_column_nullable(column)))
def convert_column_to_string(type, column, registry=None):
return String(description=get_column_doc(column),
required=not (is_column_nullable(column)))
def _convert_geometry(thetype, column, registry=None):
return GeoJSON(description=get_column_doc(column),
required=not (is_column_nullable(column)))
def _convert_datetime(thetype, column, registry=None):
return DateTime(description=get_column_doc(column),
required=not (is_column_nullable(column)))
def convert_column_to_dict(type, column, registry=None):
return PassThroughType(description=get_column_doc(column),
required=not(is_column_nullable(column)))