* Editor-Unterstützung (Codevervollständigung, usw.), selbst für verschachtelte Modelle
* Datenkonvertierung
* Datenvalidierung
* Automatische Dokumentation

## Spezielle Typen und Validierungen { #special-types-and-validation }

Abgesehen von normalen einfachen Typen wie `str`, `int`, `float`, usw. können Sie komplexere einfache Typen verwenden, die von `str` erben.

                    "schema": {
                        "$ref": "#/components/schemas/Item"
                    }
                }
            }
        },
        "422": {
            "description": "Validation Error",
            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/HTTPValidationError"
                    }
                }

/// tip | Consejo

Para entender las variables de entorno, puedes leer [Variables de Entorno](../environment-variables.md){.internal-link target=_blank}.

///

## Tipos y validación { #types-and-validation }

Por padrão, tudo **"simplesmente funciona"**.

### Validação { #validation }

* Validação para a maioria dos (ou todos?) **tipos de dados** do Python, incluindo:
    * objetos JSON (`dict`).
    * arrays JSON (`list`), definindo tipos dos itens.

                    "schema": {
                        "$ref": "#/components/schemas/Item"
                    }
                }
            }
        },
        "422": {
            "description": "Validation Error",
            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/HTTPValidationError"
                    }
                }

	"github.com/dustin/go-humanize"
	"github.com/minio/pkg/v3/wildcard"
	"gopkg.in/yaml.v3"
)

//go:generate msgp -file $GOFILE
//msgp:ignore BatchJobYamlErr

// BatchJobYamlErr can be used to return yaml validation errors with line,
// column information guiding user to fix syntax errors
type BatchJobYamlErr struct {
	line, col int
	msg       string
}

// message returns the error message excluding line, col information.

<img src="/img/python-types/image06.png">

## Les modèles Pydantic

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> est une bibliothèque Python pour effectuer de la validation de données.

Vous déclarez la forme de la donnée avec des classes et des attributs.

Chaque attribut possède un type.

	// Total length of the alpha numeric table.
	alphaNumericTableLen = byte(len(alphaNumericTable))

	reservedChars = "=,"
)

// Common errors generated for access and secret key validation.
var (
	ErrInvalidAccessKeyLength   = fmt.Errorf("access key length should be between %d and %d", accessKeyMinLen, accessKeyMaxLen)

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}

```

被替换为了以下文本格式的错误信息：

```
1 validation error
path -> item_id
  value is not a valid integer (type=type_error.integer)

```

### `RequestValidationError` vs `ValidationError`

/// warning | 警告

如果您觉得现在还用不到以下技术细节，可以先跳过下面的内容。

		case c < '0' || c > '9':
			return time.Time{}, ErrHeader
		case i < len(nanoDigits):
			nanoDigits[i] = c
		}
	}
	nsecs, _ := strconv.ParseInt(string(nanoDigits[:]), 10, 64) // Must succeed after validation
	if len(ss) > 0 && ss[0] == '-' {
		return time.Unix(secs, -1*nsecs), nil // Negative correction
	}
	return time.Unix(secs, nsecs), nil
}