goto endHandleArgs
:handleArgs
if "%~1"=="--debug" (
    if "%MAVEN_DEBUG_OPTS%"=="" (
        set "MAVEN_DEBUG_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=%MAVEN_DEBUG_ADDRESS%"
    )
) else if "%~1"=="--yjp" (
    if not exist "%YJPLIB%" (
        echo Error: Unable to autodetect the YJP library location. Please set YJPLIB variable >&2

### `settings`'i kullanın { #use-the-settings }

Daha sonra uygulamanızda yeni `settings` nesnesini kullanabilirsiniz:

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

### Server'ı çalıştırın { #run-the-server }

Sonraki adımda server'ı çalıştırırken konfigürasyonları environment variable olarak geçersiniz; örneğin `ADMIN_EMAIL` ve `APP_NAME` şu şekilde ayarlanabilir:

<div class="termy">

```console

        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());

### `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».

    if contact:
        info["contact"] = contact
    if license_info:
        info["license"] = license_info
    output: dict[str, Any] = {"openapi": openapi_version, "info": info}
    if servers:
        output["servers"] = servers
    components: dict[str, dict[str, Any]] = {}
    paths: dict[str, dict[str, Any]] = {}
    webhook_paths: dict[str, dict[str, Any]] = {}
    operation_ids: set[str] = set()

// for the local lock mutex.
// We do not block unlocking or maintenance, but they add to the count.
// The limit is set to allow for bursty behavior,
// but prevent requests to overload the server completely.
// Rejected clients are expected to retry.
const lockMutexWaitLimit = 1000

// lockRequesterInfo stores various info from the client for each lock that is requested.
type lockRequesterInfo struct {

// Version returns version information about the KMS.
//
// TODO(aead): refactor this API call since it does not account
// for multiple KMS/KES servers.
func (k *KMS) Version(ctx context.Context) (string, error) {
	return k.conn.Version(ctx)
}

// APIs returns a list of KMS server APIs.
//
// TODO(aead): remove this API since it's hardly useful.
func (k *KMS) APIs(ctx context.Context) ([]madmin.KMSAPI, error) {

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.