Function set_model_fields

pydantic/_internal/_model_construction.py:566–597

Collect and set `cls.__pydantic_fields__` and `cls.__class_vars__`. Args: cls: BaseModel or dataclass. config_wrapper: The config wrapper instance. ns_resolver: Namespace resolver to use when getting model annotations.

(
    cls: type[BaseModel],
    config_wrapper: ConfigWrapper,
    ns_resolver: NsResolver,
)

def set_model_fields(
    cls: type[BaseModel],
    config_wrapper: ConfigWrapper,
    ns_resolver: NsResolver,
) -> None:
    """Collect and set `cls.__pydantic_fields__` and `cls.__class_vars__`.

    Args:
        cls: BaseModel or dataclass.
        config_wrapper: The config wrapper instance.
        ns_resolver: Namespace resolver to use when getting model annotations.
    """
    typevars_map = get_model_typevars_map(cls)
    fields, pydantic_extra_info, class_vars = collect_model_fields(
        cls, config_wrapper, ns_resolver, typevars_map=typevars_map
    )

    cls.__pydantic_fields__ = fields
    cls.__pydantic_extra_info__ = pydantic_extra_info
    cls.__class_vars__.update(class_vars)

    for k in class_vars:
        # Class vars should not be private attributes
        #     We remove them _here_ and not earlier because we rely on inspecting the class to determine its classvars,
        #     but private attributes are determined by inspecting the namespace _prior_ to class creation.
        #     In the case that a classvar with a leading-'_' is defined via a ForwardRef (e.g., when using
        #     `__future__.annotations`), we want to remove the private attribute which was detected _before_ we knew it
        #     evaluated to a classvar

        value = cls.__private_attributes__.pop(k, None)
        if value is not None and value.default is not PydanticUndefined:
            setattr(cls, k, value.default)


def complete_model_class(