FastAPI позволяет использовать **аннотации типов** таким же способом, как и для ввода данных в  **параметры** функции, вы можете использовать модели Pydantic, списки, словари, скалярные типы (такие, как int, bool и т.д.).

=== "Python 3.10+"

    ```Python hl_lines="16  21"
    {!> ../../../docs_src/response_model/tutorial001_01_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="18  23"

## Importieren Sie Pydantics `BaseModel`

Zuerst müssen Sie `BaseModel` von `pydantic` importieren:

=== "Python 3.10+"

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

=== "Python 3.8+"

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

## Import Pydantic's `BaseModel`

First, you need to import `BaseModel` from `pydantic`:

=== "Python 3.10+"

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

=== "Python 3.8+"

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

=== "Python 3.10+"

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

=== "Python 3.8+"

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

## 여러분의 데이터 모델 만들기

`BaseModel`를 상속받은 클래스로 여러분의 데이터 모델을 선언합니다.

모든 어트리뷰트에 대해 표준 파이썬 타입을 사용합니다:

=== "Python 3.10+"

    ```Python hl_lines="5-9"

=== "Python 3.10+"

    ```Python hl_lines="4  8  12  46  64  105  107-115  121-124  128-134  139  155"
    {!> ../../../docs_src/security/tutorial005_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="2  4  8  12  46

```Python
q: Union[str, None] = None
```

Oder in Python 3.10 und darüber:

```Python
q: str | None = None
```

Zum Beispiel:

=== "Python 3.10+"

    ```Python hl_lines="27"
    {!> ../../../docs_src/body_multiple_params/tutorial004_an_py310.py!}
    ```

=== "Python 3.9+"

从 `pydantic` 中导入 `BaseModel`：

=== "Python 3.10+"

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

=== "Python 3.8+"

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

## 创建数据模型

把数据模型声明为继承 `BaseModel` 的类。

使用 Python 标准类型声明所有属性：

=== "Python 3.10+"

    ```Python hl_lines="5-9"

### `OAuth2PasswordRequestForm`

Importieren Sie zunächst `OAuth2PasswordRequestForm` und verwenden Sie es als Abhängigkeit mit `Depends` in der *Pfadoperation* für `/token`:

=== "Python 3.10+"

    ```Python hl_lines="4  78"
    {!> ../../../docs_src/security/tutorial003_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="4  78"

### `OAuth2PasswordRequestForm`

First, import `OAuth2PasswordRequestForm`, and use it as a dependency with `Depends` in the *path operation* for `/token`:

=== "Python 3.10+"

    ```Python hl_lines="4  78"
    {!> ../../../docs_src/security/tutorial003_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="4  78"

您可以使用 `Config` 和 `schema_extra` 为Pydantic模型声明一个示例，如<a href="https://docs.pydantic.dev/latest/concepts/json_schema/#schema-customization" class="external-link" target="_blank">Pydantic 文档：定制 Schema </a>中所述:

=== "Python 3.10+"

    ```Python hl_lines="13-21"
    {!> ../../../docs_src/schema_extra_example/tutorial001_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="15-23"