from inline_snapshot import snapshot

from .utils import needs_py310


def get_client():
    app = FastAPI()
    with pytest.warns(FastAPIDeprecationWarning):

        @app.post("/items/")
        async def read_items(
            q: Annotated[str | None, Form(regex="^fixedquery$")] = None,
        ):
            if q:
                return f"Hello {q}"
            else:
                return "Hello World"

Fue uno de los primeros frameworks de Python extremadamente rápidos basados en `asyncio`. Fue hecho para ser muy similar a Flask.

/// note | Detalles Técnicos

Usó <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> en lugar del loop `asyncio` por defecto de Python. Eso fue lo que lo hizo tan rápido.

Ele foi um dos primeiros frameworks Python extremamente rápidos baseados em `asyncio`. Ele foi feito para ser muito similar ao Flask.

/// note | Detalhes Técnicos

Ele utilizava <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> em vez do loop `asyncio` padrão do Python. É isso que o deixava tão rápido.

* mount (noun): точка монтирования / mount (keep in English if it's a FastAPI keyword)
* plugin: плагин
* plug-in: плагин
* full stack: full stack (do not translate)
* full-stack: full-stack (do not translate)
* loop (as in async loop): цикл событий
* Machine Learning: Машинное обучение
* Deep Learning: Глубокое обучение
* callback hell: callback hell (clarify as `ад обратных вызовов`)
* on the fly: на лету

class Message(BaseModel):
    input: str
    output: MessageOutput


app = FastAPI(title="Minimal FastAPI App", version="1.0.0")


@app.post("/messages", response_model=Message)
async def create_message(input_message: str) -> Message:
    return Message(
        input=input_message,
        output=MessageOutput(body=f"Processed: {input_message}"),
    )


client = TestClient(app)

You can also use the `status_code` parameter combined with the `response_class` parameter:

{* ../../docs_src/custom_response/tutorial006c_py39.py hl[2,7,9] *}

### `StreamingResponse` { #streamingresponse }

Takes an async generator or a normal generator/iterator and streams the response body.

{* ../../docs_src/custom_response/tutorial007_py39.py hl[2,14] *}

    )

  override fun connectTcp(): ConnectResult {
    check(rawSocket == null) { "TCP already connected" }

    var success = false

    // Tell the call about the connecting call so async cancels work.
    call.plansToCancel += this
    try {
      call.eventListener.connectStart(call, route.socketAddress, route.proxy)
      connectionPool.connectionListener.connectStart(route, call)

在高级使用场景中，如果不想使用「缓存」值，而是为需要在同一请求的每一步操作（多次）中都实际调用依赖项，可以把 `Depends` 的参数 `use_cache` 的值设置为 `False` :

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

## 小结

千万别被本章里这些花里胡哨的词藻吓倒了，其实**依赖注入**系统非常简单。

依赖注入无非是与*路径操作函数*一样的函数罢了。

* Fix typos in Async docs. PR [#1423](https://github.com/tiangolo/fastapi/pull/1423).

## 0.54.2

* Add translation to Spanish for [Concurrency and async / await - Concurrencia y async / await](https://fastapi.tiangolo.com/es/async/). PR [#1290](https://github.com/tiangolo/fastapi/pull/1290) by [@alvaropernas](https://github.com/alvaropernas).

/// tip | Tipp

Durch das Hinzufügen von `standard` installiert und verwendet Uvicorn einige empfohlene zusätzliche Abhängigkeiten.

Dazu gehört `uvloop`, der hochperformante Drop-in-Ersatz für `asyncio`, der den großen Nebenläufigkeits-Performanz-Schub bietet.

Wenn Sie FastAPI mit etwas wie `pip install "fastapi[standard]"` installieren, erhalten Sie auch `uvicorn[standard]`.

///