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

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

`user_in`은 Pydantic 모델 클래스인 `UserIn`입니다.

Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.model_dump()` 메서드를 제공합니다.

따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다:

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

from fastapi import FastAPI

app = FastAPI()


@app.get("/users/{user_id}/items/{item_id}")
async def read_user_item(
    user_id: int, item_id: str, q: str | None = None, short: bool = False
):
    item = {"item_id": item_id, "owner_id": user_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

{"index":{"_index":"fess_user.user","_id":"YWRtaW4="}}

under the License.
-->

<toolchains>
  <toolchain>
     <type>basic</type>
     <configuration>
       <user>true</user>
     </configuration>
  </toolchain>
  <toolchain>
     <type>rare</type>
     <configuration>
       <user>true</user>
     </configuration>
  </toolchain>

	if s3Err != ErrNone {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(s3Err), r.URL)
		return
	}

	userDN := r.Form.Get("userDN")

	// If listing is requested for a specific user (who is not the request
	// sender), check that the user has permissions.
	if userDN != "" && userDN != cred.ParentUser {
		if !globalIAMSys.IsAllowed(policy.Args{
			AccountName:     cred.AccessKey,
			Groups:          cred.Groups,

        }
        return client;
    }

    // RAG workflow delegation methods

    /**
     * Detects the intent of a user message using the configured LLM client.
     *
     * @param userMessage the user's message
     * @return the detected intent with extracted keywords
     * @throws LlmException if LLM is not available
     */

class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str


app = FastAPI()


def get_session():
    with Session(engine) as session:
        yield session


def get_user(user_id: int, session: Annotated[Session, Depends(get_session)]):
    user = session.get(User, user_id)
    if not user:

app = FastAPI()


class BaseUser(BaseModel):
    username: str
    email: EmailStr
    full_name: str | None = None


class UserIn(BaseUser):
    password: str


@app.post("/user/")
async def create_user(user: UserIn) -> BaseUser:

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

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

`user_in`は`UserIn`クラスのPydanticモデルです。

Pydanticモデルには、モデルのデータを含む`dict`を返す`.model_dump()`メソッドがあります。

そこで、以下のようなPydanticオブジェクト`user_in`を作成すると:

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

Shinsuke Sugaya <******@****.***> 1638450896 +0900