# Body - Campos

De la misma manera que puedes declarar validaciones adicionales y metadatos en los parámetros de las *path operation function* con `Query`, `Path` y `Body`, puedes declarar validaciones y metadatos dentro de los modelos de Pydantic usando `Field` de Pydantic.

## Importar `Field`

Primero, tienes que importarlo:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | Advertencia

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        // Default constructor
    }

    /**
     * The CRUD operation mode for this form.
     * Indicates whether this is a create, read, update, or delete operation.
     */
    @ValidateTypeFailure
    public int crudMode;

    /**
     * The unique identifier of the crawling information entry being edited.

/// tip

You can set a dependency override for a dependency used anywhere in your **FastAPI** application.

The original dependency could be used in a *path operation function*, a *path operation decorator* (when you don't use the return value), a `.include_router()` call, etc.

FastAPI will still be able to override it.

///

Let's imagine you want to get the client's IP address/host inside of your *path operation function*.

For that you need to access the request directly.

{* ../../docs_src/using_request_directly/tutorial001.py hl[1,7:8] *}

By declaring a *path operation function* parameter with the type being the `Request` **FastAPI** will know to pass the `Request` in that parameter.

/// tip

En este caso, este `__call__` es lo que **FastAPI** usará para comprobar parámetros adicionales y sub-dependencias, y es lo que llamará para pasar un valor al parámetro en tu *path operation function* más adelante.

## Parametrizar la instance

Y ahora, podemos usar `__init__` para declarar los parámetros de la instance que podemos usar para "parametrizar" la dependencia:

# Body - Fields { #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` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

## Ersetzendes Aktualisieren mit `PUT`

Um einen Artikel zu aktualisieren, können Sie die <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">HTTP `PUT`</a> Operation verwenden.

  /** Puts all the associations from {@code rangeMap} into this range map (optional operation). */
  void putAll(RangeMap<K, ? extends V> rangeMap);

  /** Removes all associations from this range map (optional operation). */
  void clear();

  /**
   * Removes all associations from this range map in the specified range (optional operation).
   *

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

## Déclarez-le comme paramètre

Pour l'ajouter à votre *opération de chemin*, déclarez-le comme vous déclareriez des paramètres de chemin ou de requête :

{* ../../docs_src/body/tutorial001.py hl[18] *}

...et déclarez que son type est le modèle que vous avez créé : `Item`.

	Owner             Owner    `xml:"Owner"`
	AccessControlList struct {
		Grants []grant `xml:"Grant"`
	} `xml:"AccessControlList"`
}

// PutBucketACLHandler - PUT Bucket ACL
// -----------------
// This operation uses the ACL subresource
// to set ACL for a bucket, this is a dummy call
// only responds success if the ACL is private.
func (api objectAPIHandlers) PutBucketACLHandler(w http.ResponseWriter, r *http.Request) {