*   <li><strong>Model Version Update</strong>: Updates {@code <modelVersion>} to 4.1.0</li>
 * </ol>
 *
 * <h3>Default Behavior</h3>
 * If no specific options are provided, the tool applies {@code --fix-model} and {@code --plugins} by default to ensure Maven 4 compatibility.
 *
 * <h3>All-in-One Option</h3>
 * The {@code --all} option is a convenience flag equivalent to {@code --model 4.1.0 --infer --fix-model --plugins}.

* 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.

  },
  {
    "name": "kotlin-dsl-tooling-model-impls",
    "path": "platforms/core-configuration/kotlin-dsl-tooling-model-impls",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "kotlin-dsl-tooling-models",
    "path": "platforms/core-configuration/kotlin-dsl-tooling-models",
    "unitTests": false,
    "functionalTests": false,

				}

				if db.Statement.ReflectValue.CanAddr() && db.Statement.Dest != db.Statement.Model && db.Statement.Model != nil {
					_, queryValues = schema.GetIdentityFieldValuesMap(db.Statement.Context, reflect.ValueOf(db.Statement.Model), db.Statement.Schema.PrimaryFields)
					column, values = schema.ToQueryValues(db.Statement.Table, db.Statement.Schema.PrimaryFieldDBNames, queryValues)

    // need its own main method and we cannot execute more than one class with a main method per JAR.
    @Param(
        {
            // indices| shards| replicas| nodes
            "       10|      1|        0|     1",
            "       10|      3|        0|     1",
            "       10|     10|        0|     1",
            "      100|      1|        0|     1",

이것이 어떻게 동작하는지, 그리고 필요하다면 어떻게 변경할 수 있는지 살펴보겠습니다.

## 입력과 출력을 위한 Pydantic 모델 { #pydantic-models-for-input-and-output }

예를 들어, 다음처럼 기본값이 있는 Pydantic 모델이 있다고 해보겠습니다:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### 입력용 모델 { #model-for-input }

이 모델을 다음처럼 입력으로 사용하면:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

        raise PydanticV1NotSupportedError(
            "pydantic.v1 models are no longer supported by FastAPI."
            f" Please update the response model {type_!r}."
        )
    field_info = field_info or FieldInfo(annotation=type_, default=default, alias=alias)
    try:
        return v2.ModelField(mode=mode, name=name, field_info=field_info)
    except PydanticSchemaGenerationError:

    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>

## 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:

---> 100%
```

</div>

## Crear 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: