// ===================================================================================
    //                                                                               Query
    //                                                                               =====
    public BsFileConfigCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsFileConfigCQ doGetConditionQuery() {

    // ===================================================================================
    //                                                                               Query
    //                                                                               =====
    public BsSearchLogCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsSearchLogCQ doGetConditionQuery() {

* Sie deklariert außerdem ein optionales `last_query`-Cookie, ein `str`.
    * Wenn der Benutzer keine Query `q` übermittelt hat, verwenden wir die zuletzt übermittelte Query, die wir zuvor in einem Cookie gespeichert haben.

## Die Abhängigkeit verwenden { #use-the-dependency }

Diese Abhängigkeit verwenden wir nun wie folgt:

    /**
     * Deletes documents from the specified index based on the given query.
     *
     * @param client the OpenSearch client to use for the operation
     * @param settings the suggest settings to apply
     * @param index the name of the index from which documents will be deleted
     * @param queryBuilder the query that defines which documents to delete

        private final String query;

        private final String[] fields;

        private final int num;

        private final HttpServletRequest request;

        private final String[] tags;

        /**
         * Constructor for RequestParameter.
         * @param request The HTTP servlet request
         * @param query The search query string

**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

```

    /**
     * Default constructor.
     */
    public SearchBody() {
        super();
    }

    /** Search term for key matching */
    public String term;

    /** Query pattern for key matching */
    public String query;

     *
     * @param query the search query string
     * @param params the search request parameters including pagination, filters, etc.
     * @param userBean the optional user bean for access control and personalization
     * @return the search result containing matched documents and metadata
     */
    protected abstract SearchResult search(String query, SearchRequestParams params, OptionalThing<FessUserBean> userBean);

`Form`'u `fastapi`'den import edin:

{* ../../docs_src/request_forms/tutorial001_an_py310.py hl[3] *}

## `Form` Parametrelerini Tanımlayın { #define-form-parameters }

Form parametrelerini `Body` veya `Query` için yaptığınız gibi oluşturun:

{* ../../docs_src/request_forms/tutorial001_an_py310.py hl[9] *}

</div>

Abre tu navegador en [http://127.0.0.1:8000](http://127.0.0.1:8000).

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">