field_params = {f.name: (f.field_info.annotation, f.field_info) for f in fields}
        BodyModel: Type[BaseModel] = create_model(model_name, **field_params)  # type: ignore[call-overload]
        return BodyModel

    def get_model_fields(model: Type[BaseModel]) -> List[ModelField]:
        return [
            ModelField(field_info=field_info, name=name)
            for name, field_info in model.model_fields.items()
        ]

        # Set default for Annotated FieldInfo
        if isinstance(fastapi_annotation, FieldInfo):
            # Copy `field_info` because we mutate `field_info.default` below.
            field_info = copy_field_info(
                field_info=fastapi_annotation, annotation=use_annotation
            )
            assert (
                field_info.default is Undefined or field_info.default is RequiredParam
            ), (

from pydantic import BaseConfig, BaseModel, ConfigDict
from pydantic.fields import FieldInfo

from .utils import needs_pydanticv1, needs_pydanticv2


@needs_pydanticv2
def test_model_field_default_required():
    # For coverage
    field_info = FieldInfo(annotation=str)
    field = ModelField(name="foo", field_info=field_info)
    assert field.default is Undefined


@needs_pydanticv1

    model_config: Type[BaseConfig] = BaseConfig,
    field_info: Optional[FieldInfo] = None,
    alias: Optional[str] = None,
    mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
    class_validators = class_validators or {}
    if PYDANTIC_V2:
        field_info = field_info or FieldInfo(
            annotation=type_, default=default, alias=alias
        )
    else:

        (ParamTypes.cookie, cookie_params),
    ]
    for param_type, param_group in parameter_groups:
        for param in param_group:
            field_info = param.field_info
            # field_info = cast(Param, field_info)
            if not getattr(field_info, "include_in_schema", True):
                continue
            param_schema = get_schema_from_model_field(
                field=param,

    assert dependant.call is not None, "dependant.call must be a function"
    is_coroutine = asyncio.iscoroutinefunction(dependant.call)
    is_body_form = body_field and isinstance(body_field.field_info, params.Form)
    if isinstance(response_class, DefaultPlaceholder):
        actual_response_class: Type[Response] = response_class.value
    else:
        actual_response_class = response_class

////

`Field` 👷 🎏 🌌 `Query`, `Path` & `Body`, ⚫️ ✔️ 🌐 🎏 🔢, ♒️.

/// note | "📡 ℹ"

🤙, `Query`, `Path` & 🎏 👆 🔜 👀 ⏭ ✍ 🎚 🏿 ⚠ `Param` 🎓, ❔ ⚫️ 🏿 Pydantic `FieldInfo` 🎓.

 & Pydantic `Field` 📨 👐 `FieldInfo` 👍.

`Body` 📨 🎚 🏿 `FieldInfo` 🔗. & 📤 🎏 👆 🔜 👀 ⏪ 👈 🏿 `Body` 🎓.

💭 👈 🕐❔ 👆 🗄 `Query`, `Path`, & 🎏 ⚪️➡️ `fastapi`, 👈 🤙 🔢 👈 📨 🎁 🎓.

///

/// tip

Actually, `Query`, `Path` and others you'll see next create objects of subclasses of a common `Param` class, which is itself a subclass of Pydantic's `FieldInfo` class.

And Pydantic's `Field` returns an instance of `FieldInfo` as well.

`Body` also returns objects of a subclass of `FieldInfo` directly. And there are others you will see later that are subclasses of the `Body` class.

Na realidade, `Query`, `Path` e outros que você verá em seguida, criam objetos de subclasses de uma classe `Param` comum, que é ela mesma uma subclasse da classe `FieldInfo` do Pydantic.

E `Field` do Pydantic retorna uma instância de `FieldInfo` também.

`Body` também retorna objetos de uma subclasse de `FieldInfo` diretamente. E tem outras que você verá mais tarde que são subclasses da classe `Body`.

На самом деле, `Query`, `Path` и другие функции, которые вы увидите в дальнейшем, создают объекты подклассов общего класса `Param`, который сам по себе является подклассом `FieldInfo` из Pydantic.

И `Field` (из Pydantic), и `Body`, оба возвращают объекты подкласса `FieldInfo`.

У класса `Body` есть и другие подклассы, с которыми вы ознакомитесь позже.