import org.codelibs.fess.opensearch.user.exentity.Group;
import org.codelibs.fess.opensearch.user.exentity.User;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.JsonResponse;

import jakarta.annotation.Resource;

/**
 * API action for admin group management.
 * Provides RESTful API endpoints for managing user group settings in the Fess search engine.

    }

    protected void registerModifiedProperty(String propertyName) {
        __modifiedProperties.addPropertyName(propertyName);
        registerSpecifiedProperty(propertyName); // synchronize if exists, basically for user's manual call
    }

    public void modifiedToSpecified() {
        if (__modifiedProperties.isEmpty()) {
            return; // basically no way when called in Framework (because called when SpecifyColumn exists)

    }

    protected void registerModifiedProperty(String propertyName) {
        __modifiedProperties.addPropertyName(propertyName);
        registerSpecifiedProperty(propertyName); // synchronize if exists, basically for user's manual call
    }

    public void modifiedToSpecified() {
        if (__modifiedProperties.isEmpty()) {
            return; // basically no way when called in Framework (because called when SpecifyColumn exists)

	}

	if err := DB.Delete(&user).Error; err != nil {
		t.Fatalf("No error should happen when soft delete user, but got %v", err)
	}

	if sql.NullTime(user.DeletedAt).Time.IsZero() {
		t.Fatalf("user's deleted at is zero")
	}

	sql := DB.Session(&gorm.Session{DryRun: true}).Delete(&user).Statement.SQL.String()

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

/// note | 기술 세부사항

응답 모델은 함수의 타입 어노테이션 대신 이 매개변수로 선언하는데, 경로 함수가 실제 응답 모델을 반환하지 않고 `dict`, 데이터베이스 객체나 기타 다른 모델을 `response_model`을 사용하여 필드 제한과 직렬화를 수행하고 반환할 수 있기 때문입니다

///

## 동일한 입력 데이터 반환

여기서 우리는 평문 비밀번호를 포함하는 `UserIn` 모델을 선언합니다:

{* ../../docs_src/response_model/tutorial002.py hl[9,11] *}

그리고 이 모델을 사용하여 입력을 선언하고 같은 모델로 출력을 선언합니다:

{* ../../docs_src/response_model/tutorial002.py hl[17:18] *}

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは以下のように用いられます:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

```JSON
{
  "detail": "Not authenticated"
}
```

### Inactive user { #inactive-user }

Now try with an inactive user, authenticate with:

User: `alice`

Password: `secret2`

And try to use the operation `GET` with the path `/users/me`.

You will get an "Inactive user" error, like:

```JSON
{
  "detail": "Inactive user"
}
```

## Recap { #recap }

     * Returns the username for the authenticating user.
     *
     * @return A <code>String</code> containing the user for this message.
     */
    public String getUser() {
        return user;
    }

    /**
     * Sets the user for this message.
     *
     * @param user The user.
     */
    public void setUser(final String user) {
        this.user = user;
    }

    /**

from datetime import date

from pydantic import BaseModel

# 변수를 str로 선언
# 그 후 함수 안에서 편집기 지원을 받으세요
def main(user_id: str):
    return user_id


# Pydantic 모델
class User(BaseModel):
    id: int
    name: str
    joined: date
```

위의 코드는 다음과 같이 사용될 수 있습니다:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",