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()
```

		},
		config.HelpKV{
			Key:         AuthToken,
			Description: "authorization header for plugin hook endpoint" + defaultHelpPostfix(AuthToken),
			Optional:    true,
			Type:        "string",
			Sensitive:   true,
			Secret:      true,
		},
		config.HelpKV{
			Key:         EnableHTTP2,
			Description: "Enable experimental HTTP2 support to connect to plugin service" + defaultHelpPostfix(EnableHTTP2),
			Optional:    true,

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()
```

		},
		config.HelpKV{
			Key:         target.WebhookAuthToken,
			Description: "opaque string or JWT authorization token",
			Optional:    true,
			Type:        "string",
			Sensitive:   true,
			Secret:      true,
		},
		config.HelpKV{
			Key:         config.Comment,
			Description: config.DefaultComment,
			Optional:    true,
			Type:        "sentence",
		},
		config.HelpKV{

                case FessConfig.APP_CIPHER_KEY:
                    return "___change__me___";
                case FessConfig.APP_ENCRYPT_PROPERTY_PATTERN:
                    return ".*password|.*key|.*token|.*secret";
                case FessConfig.APP_EXTENSION_NAMES:
                    return "jpg,jpeg,gif,png";

                case FessConfig.JOB_MAX_CRAWLER_PROCESSES:
                    return "3";

          # - you are installing Scorecard on a *private* repository
          # To create the PAT, follow the steps in https://github.com/ossf/scorecard-action#authentication-with-pat.
          # repo_token: ${{ secrets.SCORECARD_TOKEN }}

          # Public repositories:
          #   - Publish results to OpenSSF REST API for easy access by consumers
          #   - Allows the repository to include the Scorecard badge.

        shell: bash

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

接著呼叫：

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

此時變數 `user_dict` 會是一個承載資料的 `dict`（也就是 `dict`，而非 Pydantic 模型物件）。

若再呼叫：

```Python
print(user_dict)
```

我們會得到一個 Python `dict`：

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

### Configure Casdoor

- Go to Applications
  - Create or use an existing Casdoor application
  - Edit the application
    - Copy `Client ID` and `Client secret`
    - Add your redirect url (callback url) to `Redirect URLs`
    - Save

- Go to Users
  - Edit the user
    - Add your MinIO policy (ex: `readwrite`) in `Tag`
    - Save