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="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

잠금 아이콘을 클릭하고 로그아웃한 다음 동일한 작업을 다시 시도하면 다음과 같은 HTTP 401 오류가 발생합니다.

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

### 비활성된 유저

이제 비활성된 사용자로 시도하고, 인증해봅시다:

유저명: `alice`

패스워드: `secret2`

그리고 `/users/me` 경로와 함께 `GET` 작업을 사용해 봅시다.

다음과 같은 "Inactive user" 오류가 발생합니다:

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

## 요약

    protected static final String OIC_TOKEN_SERVER_URL = "oic.token.server.url";

    /** Configuration key for OpenID Connect client secret. */
    protected static final String OIC_CLIENT_SECRET = "oic.client.secret";

    /** Session key for OpenID Connect state parameter. */
    protected static final String OIC_STATE = "OIC_STATE";

    /** Configuration key for OpenID Connect base URL. */

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()
```

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="******@****.***")
```

и затем вызовем:

```Python
user_dict = user_in.dict()
```

    return [pet1, pet2]


client = TestClient(app)


def test_filter_top_level_model():
    response = client.post(
        "/users", json={"email": "******@****.***", "password": "secret"}
    )
    assert response.json() == {"email": "******@****.***"}


def test_filter_second_level_model():
    response = client.get("/pets/1")
    assert response.json() == {
        "name": "Nibbler",

    params {
        param("env.JAVA_HOME", javaHome(BuildToolBuildJvm, Os.LINUX))
        param("env.GRADLE_PUBLISH_KEY", "%plugin.portal.publish.key%")
        param("env.GRADLE_PUBLISH_SECRET", "%plugin.portal.publish.secret%")
        param("env.PGP_SIGNING_KEY", "%pgpSigningKey%")
        param("env.PGP_SIGNING_KEY_PASSPHRASE", "%pgpSigningPassphrase%")
    }
    steps {
        gradleWrapper {
            name = "Publish Kotlin DSL Plugin"

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="******@****.***")
```

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings


class LabelSettings(BaseModel):
    await_label: str | None = None
    number: int


default_config = {"approved-2": LabelSettings(await_label="awaiting-review", number=2)}


class Settings(BaseSettings):
    github_repository: str
    token: SecretStr
    debug: bool | None = False

		config.HelpKV{
			Key:         AuthToken,
			Description: "[DEPRECATED] authorization token for OPA endpoint" + defaultHelpPostfix(AuthToken),
			Optional:    true,
			Type:        "string",
			Sensitive:   true,
			Secret:      true,
		},
		config.HelpKV{
			Key:         config.Comment,
			Description: config.DefaultComment,
			Optional:    true,
			Type:        "sentence",
		},
	}