## Імпорт `Field`

Спочатку вам потрібно імпортувати це:

=== "Python 3.10+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

## 🗄 `Field`

🥇, 👆 ✔️ 🗄 ⚫️:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="2"
    {!> ../../../docs_src/body_fields/tutorial001_py310.py!}
    ```

!!! warning

# Body - Fields

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field`

First, you have to import it:

=== "Python 3.10+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

与在*路径操作函数*中使用 `Query`、`Path` 、`Body` 声明校验与元数据的方式一样，可以使用 Pydantic 的 `Field` 在 Pydantic 模型内部声明校验和元数据。

## 导入 `Field`

首先，从 Pydantic 中导入 `Field`：

=== "Python 3.10+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

  // still succeed if there are no other errors, and will only persist
  // the last of any duplicate fields. This is the default in v1.23+
  // - Strict: This will fail the request with a BadRequest error if
  // any unknown fields would be dropped from the object, or if any
  // duplicate fields are present. The error returned from the server
  // will contain all unknown and duplicate fields encountered.

## Importe `Field`

Primeiro, você tem que importá-lo:

```Python hl_lines="4"
{!../../../docs_src/body_fields/tutorial001.py!}
```

!!! warning "Aviso"
    Note que `Field` é importado diretamente do `pydantic`, não do `fastapi` como todo o resto (`Query`, `Path`, `Body`, etc).

    Por exemplo, você pode usar isso para adicionar metadados para uma interface de usuário de front-end, etc.

## `Field` de argumentos adicionais

Ao usar `Field ()` com modelos Pydantic, você também pode declarar informações extras para o **JSON Schema** passando quaisquer outros argumentos arbitrários para a função.

// 	     runtime.TypeMeta    `json:",inline"`
// 	     ... // other fields
// 	}
//
// func (obj *MyAwesomeAPIObject) SetGroupVersionKind(gvk *metav1.GroupVersionKind) { metav1.UpdateTypeMeta(obj,gvk) }; GroupVersionKind() *GroupVersionKind
//
// TypeMeta is provided here for convenience. You may use it directly from this package or define
// your own with the same fields.
//
// +k8s:deepcopy-gen=false
// +protobuf=true

  // This field is set via the /status subresource. Once populated, this field is immutable.
  //
  // If the certificate signing request is denied, a condition of type "Denied" is added and this field remains empty.
  // If the signer cannot issue the certificate, a condition of type "Failed" is added and this field remains empty.
  //
  // Validation requirements:

The field of `getObjectContext` means the input and output details for connections to MinIO. It has the following fields: