* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs.smb;

import org.bouncycastle.util.encoders.Hex;

/**
 * Authenticator directly specifing the user's NT hash
 *
 * @author mbechler
 *
 */
public class NtlmNtHashAuthenticator extends NtlmPasswordAuthenticator {

    private static final long serialVersionUID = 4328214169536360351L;

)

// Provider implements identity provider specific admin operations, such as
// looking up users, fetching additional attributes etc.
type Provider interface {
	LoginWithUser(username, password string) error
	LoginWithClientID(clientID, clientSecret string) error
	LookupUser(userid string) (User, error)

`BaseUser` tiene los campos base. Luego `UserIn` hereda de `BaseUser` y añade el campo `password`, por lo que incluirá todos los campos de ambos modelos.

Anotamos el tipo de retorno de la función como `BaseUser`, pero en realidad estamos devolviendo un instance de `UserIn`.

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

### Über `**user_in.model_dump()` { #about-user-in-model-dump }

#### Pydantics `.model_dump()` { #pydantics-model-dump }

`user_in` ist ein Pydantic-Modell der Klasse `UserIn`.

///

### Про `**user_in.dict()` { #about-user-in-dict }

#### `.dict()` из Pydantic { #pydantics-dict }

`user_in` - это Pydantic-модель класса `UserIn`.

У Pydantic-моделей есть метод `.dict()`, 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="******@****.***")
```

The following example shows how to get the details of the user with `{userid}` from `{realm}` realm:

```
curl \
  -H "Authorization: Bearer eyJhbGciOiJSUz..." \
  "http://localhost:8080/auth/admin/realms/{realm}/users/{userid}"
```

### Configure MinIO

```
export MINIO_ROOT_USER=minio
export MINIO_ROOT_PASSWORD=minio123
minio server /mnt/export

    /**
     * Creates the LMv2 response for the supplied information.
     *
     * @param domain
     *            The domain in which the username exists.
     * @param user
     *            The username.
     * @param password
     *            The user's password.
     * @param challenge
     *            The server challenge.
     * @param clientChallenge
     *            The client challenge (nonce).

But in this case, the same **FastAPI** application will handle the API and the authentication.

So, let's review it from that simplified point of view:

* The user types the `username` and `password` in the frontend, and hits `Enter`.

///

### Sobre `**user_in.dict()` { #about-user-in-dict }

#### O `.dict()` do Pydantic { #pydantics-dict }

`user_in` é um modelo Pydantic da classe `UserIn`.

Os modelos Pydantic possuem um método `.dict()` 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="******@****.***")
```

## 获取用户

`get_current_user` 使用创建的（伪）工具函数，该函数接收 `str` 类型的令牌，并返回 Pydantic 的 `User` 模型：

{* ../../docs_src/security/tutorial002.py hl[19:22,26:27] *}

## 注入当前用户

在*路径操作* 的 `Depends` 中使用 `get_current_user`：

{* ../../docs_src/security/tutorial002.py hl[31] *}

注意，此处把 `current_user` 的类型声明为 Pydantic 的 `User` 模型。

这有助于在函数内部使用代码补全和类型检查。

/// tip | 提示

还记得请求体也是使用 Pydantic 模型声明的吧。