Ahí puedes establecer:

* El "ID del Ítem", usado en el path.
* El "Token" usado como un parámetro query.

/// tip | Consejo

Nota que el query `token` será manejado por una dependencia.

///

Con eso puedes conectar el WebSocket y luego enviar y recibir mensajes:

<img src="/img/tutorial/websockets/image05.png">

from typing import Annotated, Union

from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: Union[int, None] = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"

	for i, testCase := range testCases {
		// Turn the map[string]string into map[string][]string, because Go.
		query := url.Values{}
		for key, value := range testCase.queryParams {
			query.Set(key, value)
		}

		// Create a request to use.
		req, e := http.NewRequest(http.MethodGet, "http://host/a/b?"+query.Encode(), nil)
		if e != nil {
			t.Errorf("(%d) failed to create http.Request, got %v", i, e)
		}

            "Integer", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnQuery = cci("query", "query", null, null, String.class, "query", null, false, false, false, "keyword",
            0, 0, null, null, false, null, null, null, null, null, false);

**Fess Suggest** delivers auto-completion, search suggestions, and popular word analytics with multi-language support.

**Technology Stack:**
- Java 21+, Maven
- OpenSearch (provided dependency)
- Apache Lucene (query parsing, text analysis)
- ICU4J (Unicode text processing)
- JUnit 4 (testing)

**Repository:** https://github.com/codelibs/fess-suggest

---

## Architecture

### Package Structure

```

labels.num=Aantal
labels.pn=Paginanummer
labels.protocolScheme=Schema
labels.purgeByBots=Verwijderen door Bots
labels.logLevel=Logboekniveau
labels.purgeSearchLogDay=Zoeklogboeken verwijderen
labels.query=Query
labels.queryId=Query-ID
labels.rt=rt
labels.searchLog=Zoeklogboek
labels.sort=Sorteren
labels.start=Startpositie
labels.loginRequired=Inloggen vereist
labels.loginLink=Inloglink weergeven
labels.threadName=Threadnaam

import org.opensearch.action.index.IndexRequest;
import org.opensearch.action.index.IndexRequestBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.transport.client.Client;

/**
 * SuggestIndexWriter is an implementation of the SuggestWriter interface that provides methods to write, delete,
 * and delete by query suggest items in an OpenSearch index.
 */
public class SuggestIndexWriter implements SuggestWriter {
    /**

    /**
     * Constructs a Trans2QueryPathInformation request.
     *
     * @param config the SMB configuration
     * @param filename the path to query information for
     * @param informationLevel the information level to query
     */
    public Trans2QueryPathInformation(final Configuration config, final String filename, final int informationLevel) {

{* ../../docs_src/schema_extra_example/tutorial002_py310.py hl[2,8:11] *}

## `examples` у JSON-схемі — OpenAPI

При використанні будь-кого з наступного:

* `Path()`
* `Query()`
* `Header()`
* `Cookie()`
* `Body()`
* `Form()`
* `File()`

Ви також можете задати набір `examples` з додатковою інформацією, яка буде додана до їхніх **JSON-схем** у **OpenAPI**.

### `Body` з `examples`

Там вы можете задать:

* "Item ID", используемый в пути.
* "Token", используемый как query-параметр.

/// tip | Подсказка

Обратите внимание, что query-параметр `token` будет обработан в зависимости.

///

Теперь вы можете подключиться к веб-сокету и начинать отправку и получение сообщений: