Source code for litestar.dto.dataclass_dto

from __future__ import annotations

from dataclasses import MISSING, fields, replace
from typing import TYPE_CHECKING, Generic, TypeVar

from litestar.dto.base_dto import AbstractDTO
from litestar.dto.data_structures import DTOFieldDefinition
from litestar.dto.field import extract_dto_field
from litestar.params import DependencyKwarg, KwargDefinition
from litestar.types.empty import Empty

if TYPE_CHECKING:
    from typing import Collection, Generator

    from litestar.types.protocols import DataclassProtocol
    from litestar.typing import FieldDefinition


__all__ = ("DataclassDTO", "T")

T = TypeVar("T", bound="DataclassProtocol | Collection[DataclassProtocol]")
AnyDataclass = TypeVar("AnyDataclass", bound="DataclassProtocol")


[docs] class DataclassDTO(AbstractDTO[T], Generic[T]): """Support for domain modelling with dataclasses."""
[docs] @classmethod def generate_field_definitions( cls, model_type: type[DataclassProtocol] ) -> Generator[DTOFieldDefinition, None, None]: dc_fields = {f.name: f for f in fields(model_type)} for key, field_definition in cls.get_model_type_hints(model_type).items(): if not (dc_field := dc_fields.get(key)): continue default = dc_field.default if dc_field.default is not MISSING else Empty default_factory = dc_field.default_factory if dc_field.default_factory is not MISSING else None field_defintion = replace( DTOFieldDefinition.from_field_definition( field_definition=field_definition, default_factory=default_factory, dto_field=extract_dto_field(field_definition, dc_field.metadata), model_name=model_type.__name__, ), name=key, default=default, ) yield ( replace(field_defintion, default=Empty, kwarg_definition=default) if isinstance(default, (KwargDefinition, DependencyKwarg)) else field_defintion )
[docs] @classmethod def detect_nested_field(cls, field_definition: FieldDefinition) -> bool: return hasattr(field_definition.annotation, "__dataclass_fields__")