}

    /**
     * Creates an EditBody from a KeyMatch entity.
     *
     * @param entity the key match entity to convert
     * @return the converted EditBody
     */
    protected EditBody createEditBody(final KeyMatch entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, copyOp -> {
            copyOp.excludeNull();

    /**
     * Creates an EditBody from a StopwordsItem entity for API responses.
     *
     * @param entity the StopwordsItem entity to convert
     * @param dictId the dictionary ID
     * @return the converted EditBody object
     */
    protected EditBody createEditBody(final StopwordsItem entity, final String dictId) {
        final EditBody body = new EditBody();
        body.id = entity.getId();

* An optional `q` query parameter that is a `str`.
* A `skip` query parameter that is an `int`, with a default of `0`.
* A `limit` query parameter that is an `int`, with a default of `100`.

In both cases the data will be converted, validated, documented on the OpenAPI schema, etc.

## Use it { #use-it }

Now you can declare your dependency using this class.

{* ../../docs_src/dependencies/tutorial002_an_py310.py hl[19] *}

        return value;
    }

    /**
     * Convert the value.
     * @param scriptType The script type.
     * @param template The template.
     * @param paramMap The parameters.
     * @return The converted value.
     */
    protected Object convertValue(final String scriptType, final String template, final Map<String, Object> paramMap) {
        if (StringUtil.isEmpty(template)) {
            return StringUtil.EMPTY;

        "price": 42.0,
        "tax": 3.2
    },
    "user": {
        "username": "dave",
        "full_name": "Dave Grohl"
    },
    "importance": 5
}
```

Mais uma vez, ele converterá os tipos de dados, validar, documentar, etc.

## Múltiplos parâmetros de corpo e consulta

Obviamente, você também pode declarar parâmetros de consulta assim que você precisar, de modo adicional a quaisquer parâmetros de corpo.

    }

    /**
     * Creates an EditBody from a LabelType entity.
     *
     * @param entity the label type entity to convert
     * @return the converted EditBody
     */
    protected EditBody createEditBody(final LabelType entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, copyOp -> {
            copyOp.excludeNull();

     *             If the number of actual and formal parameters differ, if unwrapping of primitive arguments fails,
     *             or if after unwrapping, the parameter values cannot be converted to the corresponding formal parameter types,
     *             or if the constructor is related to an enum type
     * @see Constructor#newInstance(Object[])
     */

            }
        });
    }

    /**
     * Creates an EditBody from a BadWord entity for API responses.
     *
     * @param entity the BadWord entity to convert
     * @return the converted EditBody object
     */
    protected EditBody createEditBody(final BadWord entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, copyOp -> {
            copyOp.excludeNull();

    }

    /**
     * Creates an EditBody from a WebConfig entity.
     *
     * @param entity the web configuration entity to convert
     * @return the converted EditBody
     */
    protected EditBody createEditBody(final WebConfig entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, copyOp -> {
            copyOp.excludeNull();

{* ../../docs_src/path_operation_advanced_configuration/tutorial006.py hl[19:36, 39:40] *}

In this example, we didn't declare any Pydantic model. In fact, the request body is not even <abbr title="converted from some plain format, like bytes, into Python objects">parsed</abbr> as JSON, it is read directly as `bytes`, and the function `magic_data_reader()` would be in charge of parsing it in some way.