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

        "requestBody": {
            "content": {"application/x-yaml": {"schema": Item.model_json_schema()}},
            "required": True,
        },
    },
)
async def create_item(request: Request):
    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.model_validate(data)

      // SequentialExecutor by the time the barrier is satisfied
      barrier.await(1, SECONDS);
      executor.execute(barrierTask);
      // timeout means the second task wasn't even tried
      barrier.await(1, SECONDS);
    } finally {
      service.shutdown();
    }
  }

  public void testRejectedExecutionThrownWithMultipleCalls() throws Exception {

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

⏮️ ⏬ 🐍, 📤 **🔁 🔑 👨‍💼**. 👆 🔜 ⚙️ ⚫️ ⏮️ `async with`:

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

🕐❔ 👆 ✍ 🔑 👨‍💼 ⚖️ 🔁 🔑 👨‍💼 💖 🔛, ⚫️❔ ⚫️ 🔨 👈, ⏭ 🛬 `with` 🍫, ⚫️ 🔜 🛠️ 📟 ⏭ `yield`, & ⏮️ ❎ `with` 🍫, ⚫️ 🔜 🛠️ 📟 ⏮️ `yield`.

👆 📟 🖼 🔛, 👥 🚫 ⚙️ ⚫️ 🔗, ✋️ 👥 🚶‍♀️ ⚫️ FastAPI ⚫️ ⚙️ ⚫️.

    legacy_request_state_context_var.reset(contextvar_token)


@app.middleware("http")
async def custom_middleware(
    request: Request, call_next: Callable[[Request], Awaitable[Response]]
):
    response = await call_next(request)
    response.headers["custom"] = "foo"
    return response


@app.get("/user", dependencies=[Depends(set_up_request_state_dependency)])
def get_user():

```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()
```

        .build()
    }
    val request =
      Request.Builder()
        .url(server.url("/"))
        .build()
    client.newCall(request).enqueue(callback)
    callback.await(request.url)
      .assertCode(200)
      .assertHeader("OkHttp-Intercepted", "yep")
  }

  @Test
  fun applicationInterceptorsCanMakeMultipleRequestsToServer() {

```

/// note | "技术细节"

您也可以使用 `from starlette.websockets import WebSocket`。

**FastAPI** 直接提供了相同的 `WebSocket`，只是为了方便开发人员。但它直接来自 Starlette。

///

## 等待消息并发送消息

在您的 WebSocket 路由中，您可以使用 `await` 等待消息并发送消息。

```Python hl_lines="48-52"
{!../../docs_src/websockets/tutorial001.py!}
```

您可以接收和发送二进制、文本和 JSON 数据。

## 尝试一下

如果您的文件名为 `main.py`，请使用以下命令运行应用程序：

```console

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

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

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

    public boolean isRunning() {

  private void assertInterruptibleDrained(BlockingQueue<Object> q) {
    // nothing to drain, thus this should wait doing nothing
    try {
      assertEquals(0, Queues.drain(q, ImmutableList.of(), 0, 10, MILLISECONDS));
    } catch (InterruptedException e) {
      throw new AssertionError();
    }

    // but does the wait actually occurs?
    @SuppressWarnings("unused") // https://errorprone.info/bugpattern/FutureReturnValueIgnored