return val
	}

	ldapServer := getCfgVal(ServerAddr)
	if ldapServer == "" {
		return l, nil
	}

	// Set ServerName in TLS config for proper certificate validation
	host, _, err := net.SplitHostPort(ldapServer)
	if err != nil {
		host = ldapServer
	}

	l.LDAP = ldap.Config{
		ServerAddr:    ldapServer,
		SRVRecordName: getCfgVal(SRVRecordName),

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

			args = append(args, msg)
			msg = "%s"
		}
		console.pretty(msg+"\n", args...)
	}
}

// Fatal prints only fatal error message with no stack trace
// it will be called for input validation failures
func Fatal(err error, msg string, data ...any) {
	fatal(err, msg, data...)
}

func fatal(err error, msg string, data ...any) {
	if msg == "" {
		if len(data) > 0 {
			msg = fmt.Sprint(data...)

And you could do this even if the data type in the request is not JSON.

For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON:

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}

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

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

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

* Поддержку редактора кода (автозавершение и т.д.), даже для вложенных моделей
* Преобразование данных
* Валидацию данных
* Автоматическую документацию

## Особые типы и валидация { #special-types-and-validation }

Помимо обычных простых типов, таких как `str`, `int`, `float` и т.д., вы можете использовать более сложные простые типы, которые наследуются от `str`.

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

Ви отримаєте текстову версію:

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

#### `RequestValidationError` проти `ValidationError`

/// warning | Увага

* Suporte do editor (preenchimento automático, etc.), inclusive para modelos aninhados
* Conversão de dados
* Validação de dados
* Documentação automatica

## Tipos especiais e validação { #special-types-and-validation }

Além dos tipos singulares normais como `str`, `int`, `float`, etc. Você também pode usar tipos singulares mais complexos que herdam de `str`.