Для таких ситуаций, вместо объявления *функции операции пути* с параметром `Depends`, вы можете добавить список зависимостей `dependencies` в *декоратор операции пути*.

## Добавление `dependencies` в *декоратор операции пути*

*Декоратор операции пути* получает необязательный аргумент `dependencies`.

Это должен быть `list` состоящий из `Depends()`:

//// tab | Python 3.9+

```Python hl_lines="19"

	<target name="mydbflute.check">
		<condition property="mydbflute.exists">
			<available file="${mydbflute.dir}" type="dir" />
		</condition>
	</target>

	<target name="download.dbflute" depends="mydbflute.check" unless="mydbflute.exists">
		<mkdir dir="${mydbflute.dir}" />
		<get dest="${target.dir}/mydbflute.zip">
			<url url="${mydbflute.url}" />
		</get>

    ## Example

    ```python
    from typing import Annotated

    from fastapi import Depends, FastAPI
    from fastapi.security import OAuth2PasswordRequestForm

    app = FastAPI()


    @app.post("/login")
    def login(form_data: Annotated[OAuth2PasswordRequestForm, Depends()]):
        data = {}
        data["scopes"] = []
        for scope in form_data.scopes:

In diesen Fällen können Sie, anstatt einen Parameter der *Pfadoperation-Funktion* mit `Depends` zu deklarieren, eine `list`e von `dependencies` zum *Pfadoperation-Dekorator* hinzufügen.

## `dependencies` zum *Pfadoperation-Dekorator* hinzufügen

Der *Pfadoperation-Dekorator* erhält ein optionales Argument `dependencies`.

Es sollte eine `list`e von `Depends()` sein:

//// tab | Python 3.9+

```Python hl_lines="19"

## Utilize a instância como dependência

Então, nós podemos utilizar este `checker` em um `Depends(checker)`, no lugar de `Depends(FixedContentQueryChecker)`, porque a dependência é a instância, `checker`, e não a própria classe.

E quando a dependência for resolvida, o **FastAPI** chamará este `checker` como:

```Python

For those cases, instead of declaring a *path operation function* parameter with `Depends`, you can add a `list` of `dependencies` to the *path operation decorator*.

## Add `dependencies` to the *path operation decorator*

The *path operation decorator* receives an optional argument `dependencies`.

It should be a `list` of `Depends()`:

//// tab | Python 3.9+

```Python hl_lines="19"

Package: fess
Version: [[version]]
Architecture: all
Maintainer: Fess Team
Depends: libc6, adduser
Section: web
Priority: optional
Homepage: https://github.com/codelibs/fess
Description: Enterprise Search Server: Fess

# 路径操作装饰器依赖项

有时，我们并不需要在*路径操作函数*中使用依赖项的返回值。

或者说，有些依赖项不返回值。

但仍要执行或解析该依赖项。

对于这种情况，不必在声明*路径操作函数*的参数时使用 `Depends`，而是可以在*路径操作装饰器*中添加一个由 `dependencies` 组成的 `list`。

## 在*路径操作装饰器*中添加 `dependencies` 参数

*路径操作装饰器*支持可选参数 ~ `dependencies`。

该参数的值是由 `Depends()` 组成的 `list`：

```Python hl_lines="17"
{!../../docs_src/dependencies/tutorial006.py!}
```

路径操作装饰器依赖项（以下简称为**“路径装饰器依赖项”**）的执行或解析方式和普通依赖项一样，但就算这些依赖项会返回值，它们的值也不会传递给*路径操作函数*。

Você pode enviar (e receber) muitas mensagens:

<img src="/img/tutorial/websockets/image04.png">

E todas elas usarão a mesma conexão WebSocket.

## Usando `Depends` e outros

Nos endpoints WebSocket você pode importar do `fastapi` e usar:

* `Depends`
* `Security`
* `Cookie`
* `Header`
* `Path`
* `Query`

Eles funcionam da mesma forma que para outros endpoints FastAPI/*operações de rota*:

                **Example**

                ```python
                from fastapi import Depends, FastAPI

                from .dependencies import func_dep_1, func_dep_2

                app = FastAPI(dependencies=[Depends(func_dep_1), Depends(func_dep_2)])
                ```
                """
            ),
        ] = None,
        default_response_class: Annotated[