dependency_cache = dependency_cache or {}
    sub_dependant: Dependant
    for sub_dependant in dependant.dependencies:
        sub_dependant.call = cast(Callable[..., Any], sub_dependant.call)
        sub_dependant.cache_key = cast(
            Tuple[Callable[..., Any], Tuple[str]], sub_dependant.cache_key
        )
        call = sub_dependant.call
        use_sub_dependant = sub_dependant
        if (

        == response2.json()
        == {"name": "Plumbus", "description": None, "sub": None}
    )


def test_create_item_with_sub():
    client = get_app_client()
    client_no = get_app_client(separate_input_output_schemas=False)
    data = {
        "name": "Plumbus",
        "sub": {"subname": "SubPlumbus", "sub_description": "Sub WTF"},
    }
    response = client.post("/items/", json=data)

@app.post("/no-duplicates")
async def no_duplicates(item: Item, item2: Item = Depends(dependency)):
    return [item, item2]


@app.post("/with-duplicates-sub")
async def no_duplicates_sub(
    item: Item, sub_items: List[Item] = Depends(sub_duplicate_dependency)
):
    return [item, sub_items]


def test_no_duplicates_invalid():
    response = client.post("/no-duplicates", json={"item": {"data": "myitem"}})

* La variable `items_s` es un `set` y cada uno de sus ítems es de tipo `bytes`.

#### Diccionarios (Dicts)

Para definir un `dict` le pasas 2 sub-tipos separados por comas.

El primer sub-tipo es para los keys del `dict`.

El segundo sub-tipo es para los valores del `dict`:

```Python hl_lines="1  4"
{!../../../docs_src/python_types/tutorial008.py!}
```

Esto significa:

    with pytest.raises(FastAPIError):
        app = FastAPI()

        @app.get("/", response_model=NonPydanticModel)
        def read_root():
            pass  # pragma: nocover


def test_invalid_response_model_sub_type_raises():
    with pytest.raises(FastAPIError):
        app = FastAPI()

        @app.get("/", response_model=List[NonPydanticModel])
        def read_root():
            pass  # pragma: nocover

# Including WSGI - Flask, Django, others

You can mount WSGI applications as you saw with [Sub Applications - Mounts](sub-applications.md){.internal-link target=_blank}, [Behind a Proxy](behind-a-proxy.md){.internal-link target=_blank}.

For that, you can use the `WSGIMiddleware` and use it to wrap your WSGI application, for example, Flask, Django, etc.

## Using `WSGIMiddleware`

You need to import `WSGIMiddleware`.

        detail="Could not validate credentials",
        headers={"WWW-Authenticate": "Bearer"},
    )
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        username: str = payload.get("sub")
        if username is None:
            raise credentials_exception
        token_data = TokenData(username=username)
    except JWTError:
        raise credentials_exception

router = APIRouter()


@router.route("/items/")
def read_items(request: Request):
    return JSONResponse({"hello": "world"})


app.include_router(router)

client = TestClient(app)


def test_sub_router():
    response = client.get("/items/")
    assert response.status_code == 200, response.text

    Including how to handle lifespan state that can be used in other areas of your code.

## Sub Applications

# 事件：启动 - 关闭

**FastAPI** 支持定义在应用启动前，或应用关闭后执行的事件处理器（函数）。

事件函数既可以声明为异步函数（`async def`），也可以声明为普通函数（`def`）。

!!! warning "警告"

    **FastAPI** 只执行主应用中的事件处理器，不执行[子应用 - 挂载](sub-applications.md){.internal-link target=_blank}中的事件处理器。

## `startup` 事件

使用 `startup` 事件声明 `app` 启动前运行的函数：

```Python hl_lines="8"
{!../../../docs_src/events/tutorial001.py!}
```

本例中，`startup` 事件处理器函数为项目数据库（只是**字典**）提供了一些初始值。

**FastAPI** 支持多个事件处理器函数。