private List<Integer> pageNumberList;

    private int pageSize;

    private int currentPageNumber;

    public String id;

    public String port;

    public String username;

    public String webConfigId;

    public String createdBy;

    public String createdTime;

    public String versionNo;

    public void clear() {
        allRecordCount = 0;

        return Base64.getEncoder().encodeToString(type1Message.toByteArray());
    }

    @Override
    public String generateType3Msg(final String username, final String password, final String domain, final String workstation,
            final String challenge) throws NTLMEngineException {
        Type2Message type2Message;
        try {

        with:
          username: ${{ secrets.DOCKERHUB_USERNAME }}
          password: ${{ secrets.DOCKERHUB_TOKEN }}
      -
        name: Login to GCR
        uses: docker/login-action@9780b0c442fbb1117ed29e0efdff1e18412f7567 # v3.3.0
        with:
          registry: gcr.io
          username: _json_key
          password: ${{ secrets.GCP_CREDS }}
      -

    return item


@app.get("/items/", tags=["items"])
async def read_items():
    return [{"name": "Foo", "price": 42}]


@app.get("/users/", tags=["users"])
async def read_users():

            PrincipalName.KRB_NT_PRINCIPAL);
        return principalName;
    }


    public static Subject getInitiatorSubject ( String userName, String password, String realm, Long expire ) throws Exception {
        KerberosPrincipal principal = new KerberosPrincipal(String.format("%s@%s", userName, realm), KerberosPrincipal.KRB_NT_PRINCIPAL);
        return getInitiatorSubject(principal, password, expire);
    }

ARGS:
broker*              (uri)       MQTT server endpoint e.g. `tcp://localhost:1883`
topic*               (string)    name of the MQTT topic to publish
username             (string)    MQTT username
password             (string)    MQTT password
qos                  (number)    set the quality of service priority, defaults to '0'

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


class User(BaseModel):
    username: str
    full_name: Union[str, None] = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User, importance: int = Body()):

     | a unique name within the system (referred to by the 'id' attribute below).
     |
     | NOTE: You should either specify username/password OR privateKey/passphrase, since these pairings are
     |       used together.
     |
    <server>
      <id>deploymentRepo</id>
      <username>repouser</username>
      <password>repopwd</password>
    </server>
    -->

    <!-- Another sample, using keys to authenticate.

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


class User(BaseModel):
    username: str
    full_name: Union[str, None] = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: int, item: Item, user: User, importance: Annotated[int, Body()]
):

{!../../docs_src/security/tutorial005.py!}
```

## 校验 `username` 与数据形状

我们可以校验是否获取了 `username`，并抽取作用域。

然后，使用 Pydantic 模型校验数据（捕获 `ValidationError` 异常），如果读取 JWT 令牌或使用 Pydantic 模型验证数据时出错，就会触发之前创建的 `HTTPException` 异常。

对此，要使用新的属性 `scopes` 更新 Pydantic 模型 `TokenData`。

使用 Pydantic 验证数据可以确保数据中含有由作用域组成的**字符串列表**，以及 `username` 字符串等内容。

反之，如果使用**字典**或其它数据结构，就有可能在后面某些位置破坏应用，形成安全隐患。