import org.codelibs.fess.Constants;
import org.codelibs.fess.entity.FessUser;
import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.opensearch.user.bsentity.BsUser;
import org.codelibs.fess.util.ComponentUtil;

/**
 * @author FreeGen
 */
public class User extends BsUser implements FessUser {

    private static final long serialVersionUID = 1L;

    private String originalPassword;

from fastapi import FastAPI

app = FastAPI()


@app.get("/users/me")
async def read_user_me():
    return {"user_id": "the current user"}


@app.get("/users/{user_id}")
async def read_user(user_id: str):

from fastapi.testclient import TestClient

app = FastAPI()


async def user_exists(user_id: int):
    return True


@app.get("/users/{user_id}", dependencies=[Depends(user_exists)])
async def read_users(user_id: int):
    pass


client = TestClient(app)


def test_read_users():
    response = client.get("/users/42")
    assert response.status_code == 200, response.text


def test_openapi_schema():

    print("User saved! ..not really")
    return user_in_db


@app.post("/user/", response_model=UserOut)
async def create_user(user_in: UserIn):
    user_saved = fake_save_user(user_in)

        state["finally"] = True


@app.put("/invalid-user/{user_id}")
def put_invalid_user(
    user_id: str, name: str = Body(), db: dict = Depends(get_database)
):
    db[user_id] = name
    raise HTTPException(status_code=400, detail="Invalid user")


@app.put("/user/{user_id}")
def put_user(user_id: str, name: str = Body(), db: dict = Depends(get_database)):
    db[user_id] = name
    return {"message": "OK"}

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()
```

haben wir jetzt ein `dict` mit den Daten in der Variablen `user_dict` (es ist ein `dict` statt eines Pydantic-Modellobjekts).

///

### 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="******@****.***")

			return
		}
		for user := range users {
			checkedUserList = append(checkedUserList, user)
		}
		checkedUserList = append(checkedUserList, globalActiveCred.AccessKey)
	} else {
		for _, user := range users {
			// Validate the user
			_, ok := globalIAMSys.GetUser(ctx, user)
			if !ok {
				continue
			}
			checkedUserList = append(checkedUserList, user)
		}
	}

///

### 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="******@****.***")

from fastapi import FastAPI
from pydantic import BaseModel, EmailStr

app = FastAPI()


class UserIn(BaseModel):
    username: str
    password: str
    email: EmailStr
    full_name: Union[str, None] = None


# Don't do this in production!
@app.post("/user/")
async def create_user(user: UserIn) -> UserIn: