# Body - Поля { #body-fields }

Таким же способом, как вы объявляете дополнительную валидацию и метаданные в параметрах *функции обработки пути* с помощью функций `Query`, `Path` и `Body`, вы можете объявлять валидацию и метаданные внутри Pydantic моделей, используя функцию `Field` из Pydantic.

## Импорт `Field` { #import-field }

Сначала вы должны импортировать его:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | Внимание

# Body - Campos { #body-fields }

De la misma manera que puedes declarar validaciones adicionales y metadatos en los parámetros de las *path operation function* con `Query`, `Path` y `Body`, puedes declarar validaciones y metadatos dentro de los modelos de Pydantic usando `Field` de Pydantic.

## Importar `Field` { #import-field }

Primero, tienes que importarlo:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | Advertencia

# Corpo - Campos { #body-fields }

Da mesma forma que você pode declarar validações adicionais e metadados nos parâmetros de uma *função de operação de rota* com `Query`, `Path` e `Body`, você pode declarar validações e metadados dentro de modelos do Pydantic usando `Field` do Pydantic.

## Importe `Field` { #import-field }

Primeiro, você tem que importá-lo:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | Atenção

		if fieldStruct := modelType.Field(i); ast.IsExported(fieldStruct.Name) {
			if field := schema.ParseField(fieldStruct); field.EmbeddedSchema != nil {
				schema.Fields = append(schema.Fields, field.EmbeddedSchema.Fields...)
			} else {
				schema.Fields = append(schema.Fields, field)
			}
		}
	}

	for _, field := range schema.Fields {
		if field.DBName == "" && field.DataType != "" {

The `HeroUpdate` *data model* is somewhat special, it has **all the same fields** that would be needed to create a new hero, but all the fields are **optional** (they all have a default value). This way, when you update a hero, you can send just the fields that you want to update.

Because all the **fields actually change** (the type now includes `None` and they now have a default value of `None`), we need to **re-declare** them.

	}

	switch reflectValue.Kind() {
	case reflect.Map:
		results = [][]interface{}{make([]interface{}, len(fields))}
		for idx, field := range fields {
			mapValue := reflectValue.MapIndex(reflect.ValueOf(field.DBName))
			if mapValue.IsZero() {
				mapValue = reflectValue.MapIndex(reflect.ValueOf(field.Name))
			}
			results[0][idx] = mapValue.Interface()
		}

          <association>
            <type>Reporting</type>
          </association>
        </field>
      </fields>
    </class>
    <class>
      <name>PluginContainer</name>
      <version>3.0.0+</version>
      <description>Contains the plugins information for the project.</description>
      <fields>
        <field>
          <name>plugins</name>
          <version>4.0.0+</version>

    dict[str, dict[str, Any]],
]:
    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)
    validation_fields = [field for field in fields if field.mode == "validation"]
    serialization_fields = [field for field in fields if field.mode == "serialization"]
    flat_validation_models = get_flat_models_from_fields(
        validation_fields, known_models=set()
    )

	fields := strings.Split(releaseTag, ".")
	if len(fields) < 2 || len(fields) > 4 {
		return releaseTime, fmt.Errorf("%s is not a valid release tag", releaseTag)
	}
	if fields[0] != "RELEASE" {
		return releaseTime, fmt.Errorf("%s is not a valid release tag", releaseTag)
	}
	return time.Parse(MinioReleaseTagTimeLayout, fields[1])
}

    return True


def _should_embed_body_fields(fields: list[ModelField]) -> bool:
    if not fields:
        return False
    # More than one dependency could have the same field, it would show up as multiple
    # fields but it's the same one, so count them by name
    body_param_names_set = {field.name for field in fields}
    # A top level field has to be a single field, not multiple
    if len(body_param_names_set) > 1: