# WebSockets

Você pode usar <a href="https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API" class="external-link" target="_blank">WebSockets</a> com **FastAPI**.

## Instalando `WebSockets`

Garanta que você criou um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, o ativou e instalou o `websockets`:

<div class="termy">

```console
$ pip install websockets

---> 100%
```

</div>

# Deployments Concepts { #deployments-concepts }

When deploying a **FastAPI** application, or actually, any type of web API, there are several concepts that you probably care about, and using them you can find the **most appropriate** way to **deploy your application**.

Some of the important concepts are:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

///

## Custom Headers { #custom-headers }

Keep in mind that custom proprietary headers can be added <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers" class="external-link" target="_blank">using the 'X-' prefix</a>.

import static org.codelibs.core.stream.StreamUtil.stream;

import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.entity.FessUser;
import org.lastaflute.web.login.TypicalUserBean;

/**
 * The user bean for Fess.
 *
 * @author jflute
 */
public class FessUserBean extends TypicalUserBean<String> { // #change_it also LoginAssist

* **深度學習**: 這是機器學習的子領域，同樣適用。只不過這不僅僅是一張數字表格，而是大量的數據集合，並且在很多情況下，你會使用特殊的處理器來構建或使用這些模型。

### 並行 + 平行: Web + 機器學習

使用 **FastAPI**，你可以利用並行的優勢，這在 Web 開發中非常常見（這也是 NodeJS 的最大吸引力）。

但你也可以利用平行與多行程 (multiprocessing)（讓多個行程同時運行） 的優勢來處理機器學習系統中的 **CPU 密集型**工作。

這一點，再加上 Python 是 **資料科學**、機器學習，尤其是深度學習的主要語言，讓 **FastAPI** 成為資料科學/機器學習 Web API 和應用程式（以及許多其他應用程式）的絕佳選擇。

想了解如何在生產環境中實現這種平行性，請參見 [部屬](deployment/index.md){.internal-link target=_blank}。

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.helper;

import org.lastaflute.web.util.LaRequestUtil;

/**
 * Helper class for detecting and categorizing user agent types from HTTP requests.
 * This class analyzes the User-Agent header to determine which browser type is being used

 *
 * If [algorithms] is empty this interceptor has no effect. To disable compression set
 * a specific "Accept-Encoding: identity" or similar.
 *
 * See https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Accept-Encoding
 */
open class CompressionInterceptor(
  vararg val algorithms: DecompressionAlgorithm,
) : Interceptor {
  internal val acceptEncoding =
    algorithms
      .map {

import org.codelibs.fess.util.DocumentUtil;
import org.lastaflute.di.core.exception.ComponentNotFoundException;
import org.lastaflute.di.core.factory.SingletonLaContainerFactory;
import org.lastaflute.web.util.LaRequestUtil;

import jakarta.annotation.PostConstruct;

/**
 * Helper class for path mapping configuration.
 */
public class PathMappingHelper extends AbstractConfigHelper {

    /**

* `5xx` 상태 코드는 서버 오류에 사용됩니다. 이것들을 직접 사용할 일은 거의 없습니다. 응용 프로그램 코드나 서버의 일부에서 문제가 발생하면 자동으로 이들 상태 코드 중 하나를 반환합니다.

/// tip | 팁

각각의 상태 코드와 이들이 의미하는 내용에 대해 더 알고싶다면 <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Status" class="external-link" target="_blank"><abbr title="Mozilla Developer Network">MDN</abbr> HTTP 상태 코드에 관한 문서</a> 를 확인하십시오.

///

## 이름을 기억하는 쉬운 방법

상기 예시 참고:

### Concurrence + Parallélisme : Web + Machine Learning

Avec **FastAPI** vous pouvez bénéficier de la concurrence qui est très courante en développement web (c'est l'attrait principal de NodeJS).