</component>
			</arg>
		</postConstruct>
	</component>
	<component name="osddHelper" class="org.codelibs.fess.helper.OsddHelper">
		<property name="osddPath">"/WEB-INF/orig/open-search/osdd.xml"</property>
		<property name="encoding">"UTF-8"</property>
	</component>
	<component name="suggestHelper" class="org.codelibs.fess.helper.SuggestHelper">
	</component>

Wenn Sie mehr über Formularfelder und ihre Kodierungen lesen möchten, besuchen Sie die <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/POST" class="external-link" target="_blank"><abbr title="Mozilla Developer Network – Mozilla-Entwickler-Netzwerk">MDN</abbr>-Webdokumentation für <code>POST</code></a>.

///

/// warning | Achtung

    /**
     * The name of the request header.
     */
    public String name;

    /**
     * The value of the request header.
     */
    public String value;

    /**
     * The web configuration ID associated with this request header.
     */
    public String webConfigId;

    /**
     * The user who created this request header.
     */
    public String createdBy;

    /**

# 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>

* **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}。

import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.FacetResponse;
import org.lastaflute.web.util.LaRequestUtil;
import org.lastaflute.web.validation.VaMessenger;

import jakarta.servlet.http.HttpServletRequest;

/**
 * This class represents the base response structure for API results.
 * It encapsulates the API response and provides methods to build different types of API responses.
 */

The proxy headers are:

* <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/X-Forwarded-For" class="external-link" target="_blank">X-Forwarded-For</a>
* <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/X-Forwarded-Proto" class="external-link" target="_blank">X-Forwarded-Proto</a>

### 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).

import org.codelibs.fess.helper.IntervalControlHelper;
import org.codelibs.fess.util.ComponentUtil;

/**
 * FessIntervalController extends DefaultIntervalController to provide
 * Fess-specific interval control functionality for web crawling operations.
 * This controller manages delays and timing for various crawling states
 * including processing delays, queue waiting times, and new URL discovery.
 */

import org.lastaflute.job.subsidiary.JobConcurrentExec;
import org.lastaflute.web.validation.RequiredValidator;
import org.lastaflute.web.validation.theme.typed.DoubleTypeValidator;
import org.lastaflute.web.validation.theme.typed.FloatTypeValidator;
import org.lastaflute.web.validation.theme.typed.IntegerTypeValidator;
import org.lastaflute.web.validation.theme.typed.LongTypeValidator;
import org.opensearch.search.sort.SortBuilder;