friends: List[int] = []


external_data = {
    "id": "123",
    "signup_ts": "2017-06-01 12:22",
    "friends": [1, "2", b"3"],
}
user = User(**external_data)
print(user)
# > User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)

    signup_ts: datetime | None = None
    friends: list[int] = []


external_data = {
    "id": "123",
    "signup_ts": "2017-06-01 12:22",
    "friends": [1, "2", b"3"],
}
user = User(**external_data)
print(user)
# > User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)

    ```

...我们已经将 `response_model` 声明为了不包含密码的 `UserOut` 模型：

=== "Python 3.10+"

    ```Python hl_lines="22"
    {!> ../../../docs_src/response_model/tutorial003_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="22"
    {!> ../../../docs_src/response_model/tutorial003.py!}
    ```

因此，**FastAPI** 将会负责过滤掉未在输出模型中声明的所有数据（使用 Pydantic）。

## 在文档中查看

...we declared the `response_model` to be our model `UserOut`, that doesn't include the password:

=== "Python 3.10+"

    ```Python hl_lines="22"
    {!> ../../../docs_src/response_model/tutorial003_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="22"
    {!> ../../../docs_src/response_model/tutorial003.py!}
    ```

    ```

=== "Python 3.8 nicht annotiert"

    !!! tip "Tipp"
        Bevorzugen Sie die `Annotated`-Version, falls möglich.

    ```Python hl_lines="22"
    {!> ../../../docs_src/dependencies/tutorial005.py!}
    ```

!!! info
    Beachten Sie, dass wir in der *Pfadoperation-Funktion* nur eine einzige Abhängigkeit deklarieren, den `query_or_cookie_extractor`.

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

✋️ 👆 💪 📣 💗 💪 🔢, ✅ `item` & `user`:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="22"
    {!> ../../../docs_src/body_multiple_params/tutorial002.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="20"
    {!> ../../../docs_src/body_multiple_params/tutorial002_py310.py!}
    ```

Здесь мы передаём аргумент `example`, как пример данных ожидаемых в параметре `Body()`:

=== "Python 3.10+"

    ```Python hl_lines="22-27"
    {!> ../../../docs_src/schema_extra_example/tutorial003_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="22-27"
    {!> ../../../docs_src/schema_extra_example/tutorial003_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="23-28"

=== "Python 3.10+"

    ```Python hl_lines="20"
    {!> ../../../docs_src/body_multiple_params/tutorial002_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="22"
    {!> ../../../docs_src/body_multiple_params/tutorial002.py!}
    ```

In this case, **FastAPI** will notice that there are more than one body parameters in the function (two parameters that are Pydantic models).

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

&amp; 🚥 👆 👀 📉 🗄 ( `/openapi.json` 👆 🛠️), 👆 🔜 👀 👆 ↔ 🍕 🎯 *➡ 🛠️* 💁‍♂️:

```JSON hl_lines="22"
{
    "openapi": "3.0.2",
    "info": {
        "title": "FastAPI",
        "version": "0.1.0"
    },
    "paths": {
        "/items/": {
            "get": {

```

### Das OpenAPI-Schema ändern

Jetzt können Sie die ReDoc-Erweiterung hinzufügen und dem `info`-„Objekt“ im OpenAPI-Schema ein benutzerdefiniertes `x-logo` hinzufügen:

```Python hl_lines="22-24"
{!../../../docs_src/extending_openapi/tutorial001.py!}
```

### Zwischenspeichern des OpenAPI-Schemas

Sie können die Eigenschaft `.openapi_schema` als „Cache“ verwenden, um Ihr generiertes Schema zu speichern.