Pero hay varios casos en los que podrías beneficiarte de usar `UploadFile`.

## Parámetros de Archivo con `UploadFile`

Define un parámetro de archivo con un tipo de `UploadFile`:

{* ../../docs_src/request_files/tutorial001_an_py39.py hl[14] *}

Usar `UploadFile` tiene varias ventajas sobre `bytes`:

{* ../../docs_src/path_operation_advanced_configuration/tutorial004.py hl[19:29] *}

## Respostas Adicionais

Você provavelmente já viu como declarar o `response_model` e `status_code` para uma *operação de rota*.

Isso define os metadados sobre a resposta principal da *operação de rota*.

Você também pode declarar respostas adicionais, com seus modelos, códigos de status, etc.

*/
// Following the UMD template https://github.com/umdjs/umd/blob/master/templates/returnExportsGlobal.js
(function (root, factory) {
    if (typeof define === 'function' && define.amd) {
        // AMD. Make globaly available as well
        define(['moment', 'jquery'], function (moment, jquery) {
            if (!jquery.fn) jquery.fn = {}; // webpack server rendering

   */

  private int[] requirePredecessors() {
    return requireNonNull(predecessor);
  }

  private int[] requireSuccessors() {
    return requireNonNull(successor);
  }

  /*
   * We don't define getPredecessor+getSuccessor and setPredecessor+setSuccessor here because
   * they're defined above -- including logic to add and subtract 1 to map between the values stored

Commencez par importer la classe `BaseModel` du module `pydantic` :

{* ../../docs_src/body/tutorial001.py hl[4] *}

## Créez votre modèle de données

Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.

Utilisez les types Python standard pour tous les attributs :

{* ../../docs_src/body/tutorial001.py hl[7:11] *}

/**
 * Service class for managing data configuration CRUD operations.
 * This service provides functionality to create, read, update, and delete
 * data configurations used by the Fess crawler system.
 *
 * <p>Data configurations define how the crawler should access and process
 * various data sources such as databases, CSV files, or other structured data.</p>
 */
public class DataConfigService extends FessAppService {

    /**

            }
        }

        log.debug("Removed and wiped session key for session: {}", sessionId);
    }

    /**
     * Derive a new key from an existing key
     *
     * @param baseKey the base key
     * @param label key derivation label
     * @param context key derivation context
     * @param length desired key length in bytes

 * This class provides common functionality for job execution including process management,
 * logging configuration, JVM options, and timeout handling.
 *
 * <p>Subclasses must implement the abstract methods to define specific job behavior
 * and execution type identification.</p>
 *
 * @version 1.0
 */
public abstract class ExecJob {

    /** Logger instance for this class */

## Create a TypeScript SDK { #create-a-typescript-sdk }

Let's start with a simple FastAPI application:

{* ../../docs_src/generate_clients/tutorial001_py39.py hl[7:9,12:13,16:17,21] *}

Notice that the *path operations* define the models they use for request payload and response payload, using the models `Item` and `ResponseMessage`.

### API Docs { #api-docs }

Crea una variable `ALGORITHM` con el algoritmo usado para firmar el token JWT y configúralo a `"HS256"`.

Crea una variable para la expiración del token.

Define un Modelo de Pydantic que se usará en el endpoint de token para el response.

Crea una función de utilidad para generar un nuevo token de acceso.