**FastAPI** proporciona el mismo `WebSocket` directamente solo como una conveniencia para ti, el desarrollador. Pero viene directamente de Starlette.

///

## Esperar mensajes y enviar mensajes

En tu ruta de WebSocket puedes `await` para recibir mensajes y enviar mensajes.

{* ../../docs_src/websockets/tutorial001.py hl[48:52] *}

Puedes recibir y enviar datos binarios, de texto y JSON.

## Pruébalo

///

## Nachrichten erwarten und Nachrichten senden

In Ihrer WebSocket-Route können Sie Nachrichten `await`en und Nachrichten senden.

{* ../../docs_src/websockets/tutorial001.py hl[48:52] *}

Sie können Binär-, Text- und JSON-Daten empfangen und senden.

## Es ausprobieren

```Python
with open("file.txt") as file:
    file.read()
```

In recent versions of Python, there's also an **async context manager**. You would use it with `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```

with open("file.txt") as file:
    file.read()
```

Nas versões mais recentes de Python, há também um **gerenciador de contexto assíncrono**. Você o usaria com `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```

            })
        .start();

    // wait for the computingEntry to be created
    computationStarted.await();
    cache.invalidateAll();
    // let the computation proceed
    computingLatch.countDown();
    // don't check cache.size() until we know the get("b") call is complete
    computationComplete.await();

    // At this point, the listener should be holding the seed value (a -> a), and the map should

            })
        .start();

    // wait for the computingEntry to be created
    computationStarted.await();
    cache.invalidateAll();
    // let the computation proceed
    computingLatch.countDown();
    // don't check cache.size() until we know the get("b") call is complete
    computationComplete.await();

    // At this point, the listener should be holding the seed value (a -> a), and the map should

                  startLatch.countDown();
                  startLatch.await();
                  callable.call();
                  doneLatch.countDown();
                  return null;
                }
              });
    }
    doneLatch.await();
  }

    val dispatcher: Dispatcher =
      object : Dispatcher() {
        override fun dispatch(request: RecordedRequest): MockResponse {
          if (request.url.encodedPath == firstRequest) {
            latch.await()
          }
          return MockResponse()
        }
      }
    mockWebServer.dispatcher = dispatcher
    val startsFirst = buildRequestThread(firstRequest, firstResponseCode)
    startsFirst.start()

    @Override
    public @Nullable Void call() throws InterruptedException {
      running = true;
      startLatch.countDown();
      stopLatch.await();
      running = false;
      return null;
    }

    void waitForStart() throws InterruptedException {
      startLatch.await();
    }

    void stop() {
      stopLatch.countDown();
    }

    boolean isRunning() {
      return running;
    }

`from starlette.websockets import WebSocket`을 사용할 수도 있습니다.

**FastAPI**는 개발자를 위한 편의를 위해 동일한 `WebSocket`을 직접 제공합니다. 하지만 이는 Starlette에서 가져옵니다.

///

## 메시지를 대기하고 전송하기

WebSocket 경로에서 메시지를 대기(`await`)하고 전송할 수 있습니다.

{* ../../docs_src/websockets/tutorial001.py hl[48:52] *}

여러분은 이진 데이터, 텍스트, JSON 데이터를 받을 수 있고 전송할 수 있습니다.

## 시도해보기

파일 이름이 `main.py`라고 가정하고 응용 프로그램을 실행합니다:

<div class="termy">