# Obtener Usuario Actual { #get-current-user }

En el capítulo anterior, el sistema de seguridad (que se basa en el sistema de inyección de dependencias) le estaba dando a la *path operation function* un `token` como un `str`:

{* ../../docs_src/security/tutorial001_an_py39.py hl[12] *}

Pero eso aún no es tan útil. Vamos a hacer que nos dé el usuario actual.

## Crear un modelo de usuario { #create-a-user-model }

# Get Current User { #get-current-user }

In the previous chapter the security system (which is based on the dependency injection system) was giving the *path operation function* a `token` as a `str`:

{* ../../docs_src/security/tutorial001_an_py39.py hl[12] *}

But that is still not that useful.

Let's make it give us the current user.

## Create a user model { #create-a-user-model }

First, let's create a Pydantic user model.

# Получить текущего пользователя { #get-current-user }

В предыдущей главе система безопасности (основанная на системе внедрения зависимостей) передавала *функции-обработчику пути* `token` типа `str`:

{* ../../docs_src/security/tutorial001_an_py39.py hl[12] *}

Но это всё ещё не слишком полезно.

Сделаем так, чтобы она возвращала текущего пользователя.

## Создать модель пользователя { #create-a-user-model }

# Aktuellen Benutzer abrufen { #get-current-user }

Im vorherigen Kapitel hat das Sicherheitssystem (das auf dem Dependency Injection System basiert) der *Pfadoperation-Funktion* einen `token` vom Typ `str` überreicht:

{* ../../docs_src/security/tutorial001_an_py39.py hl[12] *}

Aber das ist immer noch nicht so nützlich.

Lassen wir es uns den aktuellen Benutzer überreichen.

## Ein Benutzermodell erstellen { #create-a-user-model }

# Obter Usuário Atual { #get-current-user }

No capítulo anterior, o sistema de segurança (que é baseado no sistema de injeção de dependências) estava fornecendo à *função de operação de rota* um `token` como uma `str`:

{* ../../docs_src/security/tutorial001_an_py39.py hl[12] *}

Mas isso ainda não é tão útil.

Vamos fazer com que ele nos forneça o usuário atual.

## Criar um modelo de usuário { #create-a-user-model }

Klaus Post <******@****.***> 1756435188 +0200

    }

    /**
     * Inserts a new child element to the given parent element with proper Maven POM ordering.
     *
     * @param name the name of the new element
     * @param parent the parent element
     * @return the new element
     *
     */
    public static Element insertNewElement(String name, Element parent) {
        PomEditor editor = new PomEditor(parent.document());
        return editor.insertMavenElement(parent, name);

  }

  /**
   * Creates a fluent iterable with the first {@code size} elements of this fluent iterable. If this
   * fluent iterable does not contain that many elements, the returned fluent iterable will have the
   * same behavior as this fluent iterable. The returned fluent iterable's iterator supports {@code
   * remove()} if this fluent iterable's iterator does.
   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#limit} (same).

   * current domain with the leftmost part removed. For example, the parent of {@code
   * www.google.com} is {@code google.com}.
   *
   * @throws IllegalStateException if the domain has no parent, as determined by {@link #hasParent}
   */
  public InternetDomainName parent() {
    checkState(hasParent(), "Domain '%s' has no parent", name);
    return ancestor(1);
  }

  /**

 *   <li>Optionally removing duplicate terms based on a flag.</li>
 *   <li>Limiting the maximum size of alphanumeric and symbol terms.</li>
 * </ul>
 *
 * <p>The {@link TextNormalizeContext} class provides a fluent API to configure the text
 * normalization process, including setting initial buffer capacity, maximum term sizes,
 * duplicate term removal, and custom space characters.
 *
 * <p>Example usage:
 * <pre>{@code