class Item(BaseModel):
    name: str
    description: str | None = None


app = FastAPI(separate_input_output_schemas=False)


@app.post("/items/")
def create_item(item: Item):
    return item


@app.get("/items/")
def read_items() -> list[Item]:
    return [
        Item(
            name="Portal Gun",
            description="Device to travel through the multi-rick-verse",
        ),

    price: float


class ResponseMessage(BaseModel):
    message: str


@app.post("/items/", response_model=ResponseMessage)
async def create_item(item: Item):
    return {"message": "item received"}


@app.get("/items/", response_model=list[Item])
async def get_items():
    return [
        {"name": "Plumbus", "price": 3},
        {"name": "Portal Gun", "price": 9001},

from fastapi.testclient import TestClient

app = FastAPI()
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

      def splitJobName = jobName.split('/')
      if (splitJobName.length > 1 && splitJobName.last() ==~ /^([a-zA-Z0-9_\-]+=[a-zA-Z0-9_\-&\.]+,?)+$/) {
        def baseJobName = splitJobName.dropRight(1).join('/')
        tag baseJobName
        tag splitJobName.last()
        value 'Job Name', baseJobName
        def matrixParams = splitJobName.last().split(',')

items = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    items["foo"] = {"name": "Fighters"}
    items["bar"] = {"name": "Tenders"}
    yield
    # clean up items
    items.clear()


app = FastAPI(lifespan=lifespan)


@app.get("/items/{item_id}")
async def read_items(item_id: str):
    return items[item_id]


def test_read_items():

    Снова, вы можете комбинировать `dataclasses` со стандартными аннотациями типов.

8. Обратите внимание, что эта *функция-обработчик пути* использует обычный `def` вместо `async def`.

    Как и всегда в FastAPI, вы можете сочетать `def` и `async def` по необходимости.

    Если хотите освежить в памяти, когда что использовать, посмотрите раздел _"Нет времени?"_ в документации про [`async` и `await`](../async.md#in-a-hurry).

fake_items_db = [{"item_name": "Foo"}, {"item_name": "Bar"}, {"item_name": "Baz"}]


class CommonQueryParams:
    def __init__(self, q: str | None = None, skip: int = 0, limit: int = 100):
        self.q = q
        self.skip = skip
        self.limit = limit


@app.get("/items/")
async def read_items(commons: Annotated[CommonQueryParams, Depends(CommonQueryParams)]):
    response = {}
    if commons.q:

Por exemplo, você poderia declarar que algo pode ser `str` ou `None`:

```python
from typing import Union


def say_hi(name: Union[str, None]):
        print(f"Hi {name}!")
```

O `typing` também tem um atalho para declarar que algo pode ser `None`, com `Optional`.

Aqui vai uma dica do meu ponto de vista bem subjetivo:

让我们看看如何才能实现这一点。

## pytest.mark.anyio { #pytest-mark-anyio }

如果我们想在测试中调用异步函数，那么我们的测试函数必须是异步的。 AnyIO 为此提供了一个简洁的插件，它允许我们指定一些测试函数要异步调用。

## HTTPX { #httpx }

即使您的 **FastAPI** 应用程序使用普通的 `def` 函数而不是 `async def` ，它本质上仍是一个 `async` 异步应用程序。

`TestClient` 在内部通过一些“魔法”操作，使得您可以在普通的 `def` 测试函数中调用异步的 FastAPI 应用程序，并使用标准的 pytest。但当我们在异步函数中使用它时，这种“魔法”就不再生效了。由于测试以异步方式运行，我们无法在测试函数中继续使用 `TestClient`。

`TestClient` 是基于 [HTTPX](https://www.python-httpx.org) 的。幸运的是，我们可以直接使用它来测试 API。

## HTTPX { #httpx }

Auch wenn Ihre **FastAPI**-Anwendung normale `def`-Funktionen anstelle von `async def` verwendet, handelt es sich darunter immer noch um eine `async`-Anwendung.