{
            "url": "/api/v1"
        }
    ],
    "paths": {
            // Hier mehr Einstellungen
    }
}
```

In diesem Beispiel könnte der „Proxy“ etwa **Traefik** sein. Und der Server wäre etwas wie FastAPI CLI mit **Uvicorn**, auf dem Ihre FastAPI-Anwendung ausgeführt wird.

### Bereitstellung des `root_path` { #providing-the-root-path }

///

When we create an instance of the `OAuth2PasswordBearer` class we pass in the `tokenUrl` parameter. This parameter contains the URL that the client (the frontend running in the user's browser) will use to send the `username` and `password` in order to get a token.

{* ../../docs_src/security/tutorial001_an_py310.py hl[8] *}

/// tip

labels.crawling_info_link_details=Detail
labels.crawling_info_link_create=Buat
labels.crawling_info_link_update=Ubah
labels.crawling_info_link_delete=Hapus
labels.crawling_info_session_id_search=ID Sesi
labels.crawling_info_session_id=ID Sesi
labels.crawling_info_created_time=Dibuat
labels.crawling_info_delete_all_link=Hapus Semua
labels.crawling_info_delete_all_confirmation=Apakah Anda yakin ingin menghapus semua?

/// tip

Keep in mind that JSON only supports `str` as keys.

But Pydantic has automatic data conversion.

This means that, even though your API clients can only send strings as keys, as long as those strings contain pure integers, Pydantic will convert them and validate them.

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

     * Uses finer-grained locking to avoid blocking other operations during I/O.
     *
     * @param sessionId unique identifier for the process session
     * @param command the command to send to the process
     * @throws JobNotFoundException if no process is found for the given session ID
     * @throws JobProcessingException if there's an error sending the command
     */

   * is perpetually "flipped" (unencoded characters between position and limit).
   */
  private CharBuffer charBuffer;

  /**
   * byteBuffer holds encoded characters that have not yet been sent to the caller of the input
   * stream. When encoding it is "unflipped" (encoded bytes between 0 and position) and when
   * draining it is flipped (undrained bytes between position and limit).
   */

        final SmbComTransaction req = new NetShareEnum(th.getConfig());
        final SmbComTransactionResponse resp = new NetShareEnumResponse(th.getConfig());
        th.send(req, resp);
        if (resp.getStatus() != WinError.ERROR_SUCCESS) {
            throw new SmbException(resp.getStatus(), true);
        }

        return resp.getResults();
    }

            assertNotNull(jobProcess);
            assertTrue(processHelper.isProcessRunning(sessionId));

            // Wait a bit for the process to start
            Thread.sleep(50);

            // Send command
            processHelper.sendCommand(sessionId, "test input");

            // Wait a bit for the command to be processed
            Thread.sleep(50);

            // Clean up

/// note | 技術詳細

`from starlette.websockets import WebSocket` を使用しても構いません.

**FastAPI** は開発者の利便性のために、同じ `WebSocket` を提供します。しかし、こちらはStarletteから直接提供されるものです。

///

## メッセージを待機して送信する { #await-for-messages-and-send-messages }

WebSocketルートでは、メッセージを待機して送信するために `await` を使用できます。

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

バイナリやテキストデータ、JSONデータを送受信できます。

## 試してみる { #try-it }

or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access
to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.