Class DictBundle

lib/sqlalchemy/orm/util.py:1782–1820

Like :class:`.Bundle` but returns ``dict`` instances instead of named tuple like objects:: bn = DictBundle("mybundle", MyClass.data1, MyClass.data2) for row in session.execute(select(bn)).where(bn.c.data1 == "d1"): print(row.mybundle["data1"], row.mybundle["data2"])

class DictBundle(Bundle[_T]):
    """Like :class:`.Bundle` but returns ``dict`` instances instead of
    named tuple like objects::

        bn = DictBundle("mybundle", MyClass.data1, MyClass.data2)
        for row in session.execute(select(bn)).where(bn.c.data1 == "d1"):
            print(row.mybundle["data1"], row.mybundle["data2"])

    Differently from :class:`.Bundle`, multiple columns with the same name are
    not supported.

    .. versionadded:: 2.1

    .. seealso::

        :ref:`bundles`

        :class:`.Bundle`
    """

    def __init__(
        self, name: str, *exprs: _ColumnExpressionArgument[Any], **kw: Any
    ) -> None:
        super().__init__(name, *exprs, **kw)
        if len(set(self.c.keys())) != len(self.c):
            raise sa_exc.ArgumentError(
                "DictBundle does not support duplicate column names"
            )

    def create_row_processor(
        self,
        query: Select[Unpack[TupleAny]],
        procs: Sequence[Callable[[Row[Unpack[TupleAny]]], Any]],
        labels: Sequence[str],
    ) -> Callable[[Row[Unpack[TupleAny]]], dict[str, Any]]:
        def proc(row: Row[Unpack[TupleAny]]) -> dict[str, Any]:
            return dict(zip(labels, (proc(row) for proc in procs)))

        return proc


def _orm_full_deannotate(element: _SA) -> _SA: