```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

就能以如下方式调用：

```Python
user_dict = user_in.model_dump()
```

现在，变量 `user_dict` 中的是包含数据的 `dict`（它是 `dict`，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python `dict`：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',

- Graduated the `LegacyServiceAccountTokenTracking` feature gate to Beta. The usage of auto-generated secret-based service account token now produces warnings by default, and relevant Secrets are labeled with a last-used timestamp (label key `kubernetes.io/l...

This setting will be removed in Go 1.27.

Go 1.22 disabled
[`ConnectionState.ExportKeyingMaterial`](/pkg/crypto/tls/#ConnectionState.ExportKeyingMaterial)
when the connection supports neither TLS 1.3 nor Extended Master Secret
(implemented in Go 1.21). It can be reenabled with the [`tlsunsafeekm`
setting](/pkg/crypto/tls/#ConnectionState.ExportKeyingMaterial).
This setting will be removed in Go 1.27.

Pydantic modellerinde, model verilerini içeren bir `dict` döndüren `.model_dump()` metodu bulunur.

Yani, şöyle bir Pydantic nesnesi `user_in` oluşturursak:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

ve sonra şunu çağırırsak:

```Python
user_dict = user_in.model_dump()
```

### Immutable Secrets and ConfigMaps

Immutable Secrets and ConfigMaps graduates to GA. This feature allows users to specify that the contents of a particular Secret or ConfigMap is immutable for its object lifetime. For such instances, Kubelet will not watch/poll for changes and therefore reducing apiserver load.

        }
        if (form.oicClientSecret != null && StringUtil.isNotBlank(form.oicClientSecret.replace("*", " "))) {
            fessConfig.setSystemProperty("oic.client.secret", form.oicClientSecret);
        }
        fessConfig.setSystemProperty("oic.auth.server.url", form.oicAuthServerUrl);
        fessConfig.setSystemProperty("oic.token.server.url", form.oicTokenServerUrl);

У Pydantic-моделей есть метод `.model_dump()`, который возвращает `dict` с данными модели.

Поэтому, если мы создадим Pydantic-объект `user_in` таким способом:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

и затем вызовем:

```Python
user_dict = user_in.model_dump()
```

Os modelos Pydantic possuem um método `.model_dump()` que retorna um `dict` com os dados do modelo.

Então, se criarmos um objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

e depois chamarmos:

```Python
user_dict = user_in.model_dump()
```

Autoriza la aplicación de la misma manera que antes.

Usando las credenciales:

Usuario: `johndoe`
Contraseña: `secret`

/// check | Revisa

Observa que en ninguna parte del código está la contraseña en texto claro "`secret`", solo tenemos la versión con hash.

///

<img src="/img/tutorial/security/image08.png">

Llama al endpoint `/users/me/`, obtendrás el response como:

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

und dann aufrufen:

```Python
user_dict = user_in.model_dump()
```