await websocket.accept()
        while True:
            data = await websocket.receive_text()
            await websocket.send_text(f"Session cookie is: {session}")
            await websocket.send_text(f"Message text was: {data}, for item ID: {item_id}")
    ```
    """

    def __init__(
        self,
        code: Annotated[
            int,
            Doc(
                """

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8" %>
<aside class="main-sidebar sidebar-dark-primary">
	<la:link href="/admin/" styleClass="brand-link text-center">
		<span class="brand-text">
		<c:if test="${empty param.brandName or empty param.logoPath}"><img src="${fe:url('/images/logo-head.png')}" alt="<la:message key="labels.header_brand_name" />" /></c:if

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_Nous avons adopté la bibliothèque **FastAPI** pour créer un serveur **REST** qui peut être interrogé pour obtenir des **prédictions**. [pour Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_Adoptamos el paquete **FastAPI** para crear un servidor **REST** que pueda ser consultado para obtener **predicciones**. [para Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_我們使用 **FastAPI** 來建立產生**預測**結果的 **REST** 伺服器。 [for Ludwig]_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_Nós adotamos a biblioteca **FastAPI** para iniciar um servidor **REST** que pode ser consultado para obter **previsões**. [para o Ludwig]_"

## Project Overview

Fess is an Enterprise Search Server built on OpenSearch. It's a Java-based web application that crawls and indexes documents from various sources and provides full-text search capabilities.

## Development Commands

### Setup
```bash
# Download OpenSearch plugins (required before first build)
mvn antrun:run

# Generate DBFlute source code (when schema changes)

def non_operation():
    return {"message": "Hello World"}


def non_decorated_route():
    return {"message": "Hello World"}


app.add_api_route("/non_decorated_route", non_decorated_route)


@app.get("/text")
def get_text():
    return "Hello World"


@app.get("/path/{item_id}")
def get_id(item_id):
    return item_id


@app.get("/path/str/{item_id}")
def get_str_id(item_id: str):
    return item_id

        assertTrue(options.infer().isPresent(), "--infer option should be present");
    }

    @Test
    void testHelpDisplayIncludesPluginsOption() throws ParseException {
        // Test that help text includes the plugins option
        String[] args = {"help"};
        CommonsCliUpgradeOptions options = CommonsCliUpgradeOptions.parse(args);
        assertNotNull(options);

    }

    /**
     * Copies the given text data into the destination array
     *
     * @param cfg
     *            The configuration to use for text encoding
     * @param t
     *            The text data to copy
     * @param dst
     *            The destination byte array
     * @param dstIndex