disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// info | Bilgi

`**user_dict` için daha kapsamlı bir açıklama için [**Extra Models** dokümantasyonundaki ilgili bölüme](../extra-models.md#about-user-in-dict) geri dönüp bakın.

///

## Token’ı Döndürme { #return-the-token }

`token` endpoint’inin response’u bir JSON object olmalıdır.

# Build state model

The Gradle daemon tracks state for various elements. These are arranged in a hierarchy:

```mermaid
  graph TD

  process["build process"]
  
  session["build session"]
  process --> session
  
  build_tree["build tree"]
  session --> build_tree
  
  build1["root build"]
  build_tree --> build1
  
  project1["root project"]
  build1 --> project1
  
  project2["project"]
  build1 --> project2

     */
    @Nonnull
    List<Profile> getActivePomProfiles();

    /**
     * Gets the profiles that were active during model building for a specific model in the hierarchy.
     * This allows tracking which profiles came from which model (parent vs child).
     *
     * @param modelId The identifier of the model (groupId:artifactId:version) or empty string for the super POM.

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.model.building;

/**
 * Caches auxiliary data used during model building like already processed raw/effective models. The data in the cache
 * is meant for exclusive consumption by the model builder and is opaque to the cache implementation. The cache key is

---> 100%
```

</div>

## Створіть застосунок з однією моделлю { #create-the-app-with-a-single-model }

Спершу створимо найпростішу версію застосунку з однією моделлю **SQLModel**.

Потім нижче покращимо безпеку і гнучкість за допомогою кількох моделей. 🤓

### Створіть моделі { #create-models }

Імпортуйте `SQLModel` і створіть модель бази даних:

import binascii
from base64 import b64decode
from typing import Annotated

from annotated_doc import Doc
from fastapi.exceptions import HTTPException
from fastapi.openapi.models import HTTPBase as HTTPBaseModel
from fastapi.openapi.models import HTTPBearer as HTTPBearerModel
from fastapi.security.base import SecurityBase
from fastapi.security.utils import get_authorization_scheme_param
from pydantic import BaseModel
from starlette.requests import Request

    return {"message": result}
```

## SQLModel for SQL databases

When working with SQL databases, prefer using SQLModel as it is integrated with Pydantic and will allow declaring data validation with the same models.

Prefer it over SQLAlchemy.

## HTTPX

Use HTTPX for handling HTTP communication (e.g. with other APIs). It support sync and async usage.

**FastAPI** ile bir *path operation* oluşturduğunuzda, normalde ondan herhangi bir veri döndürebilirsiniz: bir `dict`, bir `list`, bir Pydantic model, bir veritabanı modeli vb.

Bir [Response Model](../tutorial/response-model.md) deklare ederseniz, FastAPI veriyi Pydantic kullanarak JSON'a serialize etmek için bunu kullanır.

Aqui estamos simulando a operação de *inicialização* custosa de carregar o modelo, colocando a (falsa) função do modelo no dicionário com modelos de Aprendizado de Máquina antes do `yield`. Esse código será executado **antes** de a aplicação **começar a receber requisições**, durante a *inicialização*.

---> 100%
```

</div>

## Создание приложения с единственной моделью { #create-the-app-with-a-single-model }

Сначала мы создадим самую простую первую версию приложения с одной моделью **SQLModel**.

Позже мы улучшим его, повысив безопасность и универсальность, добавив **несколько моделей**. 🤓

### Создание моделей { #create-models }

Импортируйте `SQLModel` и создайте модель базы данных: