///

## Utiliser plusieurs modèles { #multiple-models }

Voici une idée générale de l'apparence des modèles avec leurs champs de mot de passe et les endroits où ils sont utilisés :

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

### À propos de `**user_in.model_dump()` { #about-user-in-model-dump }

#### La méthode `.model_dump()` de Pydantic { #pydantics-model-dump }

- The nftables mode of kube-proxy is now GA. (The iptables mode remains the
  default; you can select the nftables mode by passing `--proxy-mode nftables`
  or using a config file with `mode: nftables`. See the kube-proxy documentation

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

All that, arbitrarily nested.

### Define a submodel { #define-a-submodel }

For example, we can define an `Image` model:

# 更多模型 { #extra-models }

书接上文，多个关联模型这种情况很常见。

特别是用户模型，因为：

* **输入模型**应该含密码
* **输出模型**不应含密码
* **数据库模型**可能需要包含哈希后的密码

/// danger | 危险

不要存储用户的明文密码。始终只存储之后可用于校验的“安全哈希”。

如果你还不了解，可以在[安全性章节](security/simple-oauth2.md#password-hashing)中学习什么是“密码哈希”。

///

## 多个模型 { #multiple-models }

下面的代码展示了不同模型处理密码字段的方式，及使用位置的大致思路：

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

Aynı teknik `Query`, `Cookie` ve `Header` için de geçerlidir. 😎

///

## Pydantic Model ile Cookies { #cookies-with-a-pydantic-model }

İhtiyacınız olan **cookie** parametrelerini bir **Pydantic model** içinde tanımlayın ve ardından parametreyi `Cookie` olarak bildirin:

{* ../../docs_src/cookie_param_models/tutorial001_an_py310.py hl[9:12,16] *}

///

## Birden Çok Model { #multiple-models }

`password` alanlarıyla birlikte modellerin genel olarak nasıl görünebileceğine ve nerelerde kullanılacaklarına dair bir fikir:

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

### `**user_in.model_dump()` Hakkında { #about-user-in-model-dump }

#### Pydantic'in `.model_dump()` Metodu { #pydantics-model-dump }

## Pydantic Model ile Header Parametreleri { #header-parameters-with-a-pydantic-model }

İhtiyacınız olan **header parametreleri**ni bir **Pydantic model** içinde tanımlayın, ardından parametreyi `Header` olarak belirtin:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

**FastAPI**, request içindeki **headers** bölümünden **her alan** için veriyi **çıkarır** ve size tanımladığınız Pydantic model örneğini verir.

///

## Múltiples modelos { #multiple-models }

Aquí tienes una idea general de cómo podrían ser los modelos con sus campos de contraseña y los lugares donde se utilizan:

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

### Acerca de `**user_in.model_dump()` { #about-user-in-model-dump }

#### `.model_dump()` de Pydantic { #pydantics-model-dump }

# Header Parameter Models { #header-parameter-models }

If you have a group of related **header parameters**, you can create a **Pydantic model** to declare them.

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

# Additional Status Codes { #additional-status-codes }

By default, **FastAPI** will return the responses using a `JSONResponse`, putting the content you return from your *path operation* inside of that `JSONResponse`.

It will use the default status code or the one you set in your *path operation*.

## Additional status codes { #additional-status-codes_1 }