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

eine Textversion:

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

#### `RequestValidationError` vs. `ValidationError`

/// warning | "Achtung"

* Um parâmetro de consulta `skip` do tipo `int`, com valor padrão `0`.
* Um parâmetro de consulta `limit` do tipo `int`, com valor padrão `100`.

Os dados serão convertidos, validados, documentados no esquema da OpenAPI e etc nos dois casos.

## Utilizando

Agora você pode declarar sua dependência utilizando essa classe.

//// tab | Python 3.10+

```Python hl_lines="19"

	} else {
		v, ok = r.Header[xhttp.AmzContentSha256]
	}

	// Skip if no header was set.
	if !ok {
		return true
	}

	// If x-amz-content-sha256 is set and the value is not
	// 'UNSIGNED-PAYLOAD' we should validate the content sha256.
	switch v[0] {
	case unsignedPayload, unsignedPayloadTrailer:
		return true
	case emptySHA256:
		// some broken clients set empty-sha256
		// with > 0 content-length in the body,

Pruning requires that CRD developer provides complete, structural validation schemas, either at the top-level or for all versions of the CRD.

#### CustomResourceDefinition Defaulting

CustomResourceDefinitions also have new support for defaulting, with defaults specified using the `default` keyword in the OpenAPI validation schema. Defaults are set for unspecified fields in an object sent to the API, and when reading from etcd.

///

### JSON Schema's `examples` field

But then JSON Schema added an <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a> field to a new version of the specification.

  // If the signer cannot issue the certificate, a condition of type "Failed" is added and this field remains empty.
  //
  // Validation requirements:
  //  1. certificate must contain one or more PEM blocks.
  //  2. All PEM blocks must have the "CERTIFICATE" label, contain no headers, and the encoded data

      headers.add(name, value.toString())
    }

    /**
     * Adds a new header with the name and value. This may be used to add multiple headers with the
     * same name. Unlike [addHeader] this does not validate the name and
     * value.
     */
    fun addHeaderLenient(
      name: String,
      value: Any,
    ) = apply {
      addHeaderLenient(headers, name, value.toString())
    }

            ],
            "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。

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> là một thư viện Python để validate dữ liệu hiệu năng cao.

Bạn có thể khai báo "hình dạng" của dữa liệu như là các lớp với các thuộc tính.

Và mỗi thuộc tính có một kiểu dữ liệu.

    if value is None:
        if field.required:
            return None, [get_missing_field_error(loc=loc)]
        else:
            return deepcopy(field.default), []
    v_, errors_ = field.validate(value, values, loc=loc)
    if isinstance(errors_, ErrorWrapper):
        return None, [errors_]
    elif isinstance(errors_, list):
        new_errors = _regenerate_error_with_loc(errors=errors_, loc_prefix=())