final List<LlmMessage> history = new ArrayList<>();
        history.add(LlmMessage.user("What is Fess?"));
        history.add(LlmMessage.assistant("Fess is an enterprise search server."));

        final IntentDetectionResult result = client.detectIntent("How about Docker?", history);

        assertEquals(ChatIntent.SEARCH, result.getIntent());
        assertEquals("Fess Docker", result.getQuery());

     * place. For example at the time of this writing the readXxxWireFormat
     * for requests and the writeXxxWireFormat for responses are not implemented
     * and simply return 0. These would need to be completed for a server
     * implementation.
     */

    static final byte SMB_COM_CREATE_DIRECTORY = (byte) 0x00;
    static final byte SMB_COM_DELETE_DIRECTORY = (byte) 0x01;
    static final byte SMB_COM_CLOSE = (byte) 0x04;

Wir verwenden immer noch dasselbe `OAuth2PasswordRequestForm`. Es enthält eine Eigenschaft `scopes` mit einer `list`e von `str`s für jeden Scope, den es im <abbr title="Request – Anfrage: Daten, die der Client zum Server sendet">Request</abbr> erhalten hat.

Und wir geben die Scopes als Teil des JWT-Tokens zurück.

/// danger | Gefahr

Der Einfachheit halber fügen wir hier die empfangenen Scopes direkt zum Token hinzu.

### `settings` 사용하기 { #use-the-settings }

이제 애플리케이션에서 새 `settings` 객체를 사용할 수 있습니다:

{* ../../docs_src/settings/tutorial001_py310.py hl[18:20] *}

### 서버 실행하기 { #run-the-server }

다음으로 환경 변수를 통해 구성을 전달하면서 서버를 실행합니다. 예를 들어 다음처럼 `ADMIN_EMAIL`과 `APP_NAME`을 설정할 수 있습니다:

<div class="termy">

```console
$ ADMIN_EMAIL="******@****.***" APP_NAME="ChimichangApp" fastapi run main.py

### 使用 `settings` { #use-the-settings }

接著你可以在應用程式中使用新的 `settings` 物件：

{* ../../docs_src/settings/tutorial001_py310.py hl[18:20] *}

### 執行伺服器 { #run-the-server }

接下來，你可以在啟動伺服器時，將設定以環境變數傳入。舉例來說，你可以設定 `ADMIN_EMAIL` 與 `APP_NAME`：

<div class="termy">

```console
$ ADMIN_EMAIL="******@****.***" APP_NAME="ChimichangApp" fastapi run main.py

///

Оскільки SQLModel базується на SQLAlchemy, ви можете легко використовувати будь-яку базу даних, яку підтримує SQLAlchemy (а отже й SQLModel), наприклад:

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server тощо

У цьому прикладі ми використаємо **SQLite**, оскільки вона зберігається в одному файлі, а Python має вбудовану підтримку. Тож ви можете скопіювати цей приклад і запустити «як є».

This is the case for most of the web applications.

Many, many users, but your server is waiting 🕙 for their not-so-good connection to send their requests.

And then waiting 🕙 again for the responses to come back.

            @Override
            public String getSchedulerTargetName() {
                return "fess-server";
            }
        });
        try {
            envMap.put("HOSTNAME", "myhost");
            final long pid = ProcessHandle.current().pid();
            assertEquals("fess-server@myhost:" + pid, systemHelper.getInstanceId());
        } finally {
            envMap.remove("HOSTNAME");
        }

	resp, err := getLocksRPC.Call(ctx, client.gridConn(), grid.NewMSS())
	if err != nil || resp == nil {
		return nil, err
	}
	return *resp, nil
}

// LocalStorageInfo - fetch server information for a remote node.
func (client *peerRESTClient) LocalStorageInfo(ctx context.Context, metrics bool) (info StorageInfo, err error) {

errors.docid_not_found = Doc ID is not found. Cause: {0}
errors.document_not_found = The URL for the document ID is not found. Cause: {0}
errors.not_load_from_server = Could not load from this server. Cause: {0}
errors.failed_to_start_job = Failed to start a job: {0}.
errors.failed_to_stop_job = Failed to stop a job: {0}.
errors.failed_to_download_synonym_file = Failed to download a synonym file.