///

## Dataclasses in `response_model` { #dataclasses-in-response-model }

You can also use `dataclasses` in the `response_model` parameter:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

The dataclass will be automatically converted to a Pydantic dataclass.

This way, its schema will show up in the API docs user interface:

package org.codelibs.fess.app.web.api.admin;

import org.codelibs.fess.Constants;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Base class for search request body objects in admin API.
 * Provides common pagination parameters for search operations.
 */
public class BaseSearchBody {

    /** The page size for search results. */
    public Integer size = ComponentUtil.getFessConfig().getPagingPageSizeAsInteger();

        "paths": {
            "/items/": {
                "get": {
                    "summary": "Read Item",
                    "operationId": "read_item_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "title": "Skip",
                                "type": "integer",

        "paths": {
            "/items/{item_id}": {
                "get": {
                    "summary": "Read Item",
                    "operationId": "read_item_items__item_id__get",
                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "string"},
                            "name": "item_id",

                            },
                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "title": "Q",
                                "type": "array",

     */
    public MsPublisherExtractor() {
        super();
    }

    /**
     * Extracts text from the Publisher input stream.
     * @param in The input stream.
     * @param params The parameters.
     * @return The extracted data.
     */
    @Override
    public ExtractData getText(final InputStream in, final Map<String, String> params) {
        if (in == null) {

```

///

## Importa `File` y `Form` { #import-file-and-form }

{* ../../docs_src/request_forms_and_files/tutorial001_an_py39.py hl[3] *}

## Define parámetros `File` y `Form` { #define-file-and-form-parameters }

Crea parámetros de archivo y formulario de la misma manera que lo harías para `Body` o `Query`:

{* ../../docs_src/request_forms_and_files/tutorial001_an_py39.py hl[10:12] *}

```

///

## Importe `File` e `Form` { #import-file-and-form }

{* ../../docs_src/request_forms_and_files/tutorial001_an_py39.py hl[3] *}

## Defina parâmetros de `File` e `Form` { #define-file-and-form-parameters }

Crie parâmetros de arquivo e formulário da mesma forma que você faria para `Body` ou `Query`:

{* ../../docs_src/request_forms_and_files/tutorial001_an_py39.py hl[10:12] *}

                            },
                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "title": "Q",
                                "type": "array",

                            },
                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "anyOf": [
                                    {"type": "string"},