nahyunkeem <******@****.***> 1733746967 +0900

Sebastián Ramírez <******@****.***> 1731896744 +0100

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

- Service load balancers no longer exclude nodes marked unschedulable from the candidate nodes. The service load balancer exclusion label should be used instead.
  

import binascii
from base64 import b64decode
from typing import Annotated, Optional

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

## Réponse supplémentaire avec `model`

Vous pouvez ajouter à votre décorateur de *paramètre de chemin* un paramètre `responses`.

Il prend comme valeur un `dict` dont les clés sont des codes HTTP pour chaque réponse, comme `200`, et la valeur de ces clés sont d'autres `dict` avec des informations pour chacun d'eux.

Chacun de ces `dict` de réponse peut avoir une clé `model`, contenant un modèle Pydantic, tout comme `response_model`.

# Return a Response Directly { #return-a-response-directly }

When you create a **FastAPI** *path operation* you can normally return any data from it: a `dict`, a `list`, a Pydantic model, a database model, etc.

By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "model-core",
    "path": "platforms/core-configuration/model-core",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "model-groovy",
    "path": "platforms/core-configuration/model-groovy",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": false

    int FLAGS2_PERMIT_READ_IF_EXECUTE_PERM = 0x2000;
    /**
     * Use 32-bit status codes flag.
     */
    int FLAGS2_STATUS32 = 0x4000;
    /**
     * Strings are Unicode flag.
     */
    int FLAGS2_UNICODE = 0x8000;

    /**
     * No capabilities.
     */
    int CAP_NONE = 0x0000;
    /**
     * Raw mode transfers are supported capability.
     */
    int CAP_RAW_MODE = 0x0001;
    /**

---> 100%
```

</div>

## Criar o App com um Único Modelo { #create-the-app-with-a-single-model }

Vamos criar a primeira versão mais simples do app com um único modelo **SQLModel**.

Depois, vamos melhorá-lo aumentando a segurança e versatilidade com **múltiplos modelos** abaixo. 🤓

### Criar Modelos { #create-models }

Importe o `SQLModel` e crie um modelo de banco de dados: