Sie können dies mit [Pydantics `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) innerhalb von `Annotated` erreichen.

/// tip | Tipp

Pydantic unterstützt auch [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) und andere. 🤓

///

Você pode fazer isso usando o [`AfterValidator` do Pydantic](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) dentro de `Annotated`.

/// tip | Dica

O Pydantic também tem [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) e outros. 🤓

///

    // Since holder.value is 2, applying 4 should yield 6.
    assertEquals(6, adder.apply(4).intValue());

    ListenableFuture<Integer> immediateFuture = immediateFuture(4);
    Future<Integer> transformedFuture = transform(immediateFuture, adder, directExecutor());

    // The composed future also yields 6.
    assertEquals(6, getDone(transformedFuture).intValue());

    // Repeated calls yield the same value even though the function's behavior

    // Since holder.value is 2, applying 4 should yield 6.
    assertEquals(6, adder.apply(4).intValue());

    ListenableFuture<Integer> immediateFuture = immediateFuture(4);
    Future<Integer> transformedFuture = transform(immediateFuture, adder, directExecutor());

    // The composed future also yields 6.
    assertEquals(6, getDone(transformedFuture).intValue());

    // Repeated calls yield the same value even though the function's behavior

## Birden Fazla Dosya Upload { #multiple-file-uploads }

Aynı anda birden fazla dosya upload etmek mümkündür.

Bu dosyalar, "form data" ile gönderilen aynı "form field" ile ilişkilendirilir.

Bunu kullanmak için `bytes` veya `UploadFile` listesini tanımlayın:

{* ../../docs_src/request_files/tutorial002_an_py310.py hl[10,15] *}

* `Field(primary_key=True)` indique à SQLModel que `id` est la **clé primaire** dans la base SQL (vous pouvez en savoir plus sur les clés primaires SQL dans la documentation SQLModel).

その場合は、標準の `dataclasses` を `pydantic.dataclasses` に置き換えるだけで済みます。これはドロップイン置換です:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. 依然として標準の `dataclasses` から `field` をインポートします。

2. `pydantic.dataclasses` は `dataclasses` のドロップイン置換です。

3. `Author` dataclass は `Item` dataclass のリストを含みます。

4. `Author` dataclass を `response_model` パラメータとして使用しています。

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

вы получите текстовую версию:

```
Validation errors:
Field: ('path', 'item_id'), Error: Input should be a valid integer, unable to parse string as an integer
```

### Переопределите обработчик ошибок `HTTPException` { #override-the-httpexception-error-handler }

這種情況下，你可以使用「自訂驗證函式」，它會在一般驗證之後套用（例如先確認值是 `str` 之後）。

你可以在 `Annotated` 中使用 [Pydantic 的 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) 來達成。

/// tip | 提示

Pydantic 也有 [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) 等等。🤓

///

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import com.google.errorprone.annotations.Keep;
import java.io.Serializable;
import java.lang.reflect.Constructor;
import java.lang.reflect.Field;
import java.lang.reflect.GenericArrayType;
import java.lang.reflect.Method;
import java.lang.reflect.ParameterizedType;
import java.lang.reflect.Type;
import java.lang.reflect.TypeVariable;