"current_user": {
                "user": "user_1",
                "scopes": ["me"],
                "db_session": "db_session_1",
            },
        },
        "user_items": {
            "user_items": "user_items_1",
            "user_me": {
                "user_me": "user_me_2",
                "current_user": {
                    "user": "user_2",
                    "scopes": ["items", "me"],

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

#### Pydantic's `.model_dump()` { #pydantics-model-dump }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

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

from fastapi import APIRouter

router = APIRouter()


@router.get("/users/", tags=["users"])
async def read_users():
    return [{"username": "Rick"}, {"username": "Morty"}]


@router.get("/users/me", tags=["users"])
async def read_user_me():
    return {"username": "fakecurrentuser"}


@router.get("/users/{username}", tags=["users"])
async def read_user(username: str):

Now, whenever a browser is creating a user with a password, the API will return the same password in the response.

In this case, it might not be a problem, because it's the same user sending the password.

But if we use the same model for another *path operation*, we could be sending our user's passwords to every client.

/// danger

    user = UserDB(
        email="******@****.***",
        hashed_password="secrethashed",
    )
    pet = PetDB(name="Nibbler", owner=user)
    return pet


@app.get("/pets/", response_model=list[PetOut])
async def read_pets():
    user = UserDB(
        email="******@****.***",
        hashed_password="secrethashed",
    )
    pet1 = PetDB(name="Nibbler", owner=user)

    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)

                    },
                }
            }
        },
        "components": {
            "schemas": {
                "UserIn": {
                    "title": "UserIn",
                    "required": ["username", "password", "email"],
                    "type": "object",
                    "properties": {
                        "username": {"title": "Username", "type": "string"},

                                "anyOf": [{"type": "string"}, {"type": "null"}],
                            },
                        },
                    },
                    "UserIn": {
                        "title": "UserIn",
                        "required": ["username", "password", "email"],
                        "type": "object",
                        "properties": {

    return "supersecret" + raw_password


def fake_save_user(user_in: UserIn):
    hashed_password = fake_password_hasher(user_in.password)
    user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
    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)

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: