```

////

//// tab | Python 3.8+

```Python hl_lines="15-23"
{!> ../../docs_src/schema_extra_example/tutorial001.py!}
```

////

这些额外的信息将按原样添加到输出的JSON模式中。

## `Field` 的附加参数

在 `Field`, `Path`, `Query`, `Body` 和其他你之后将会看到的工厂函数，你可以为JSON 模式声明额外信息，你也可以通过给工厂函数传递其他的任意参数来给JSON 模式声明额外信息，比如增加 `example`:

//// tab | Python 3.10+

```Python hl_lines="2  8-11"

func (z *xlMetaDataDirDecoder) DecodeMsg(dc *msgp.Reader) (err error) {
	var field []byte
	_ = field
	var zb0001 uint32
	zb0001, err = dc.ReadMapHeader()
	if err != nil {
		err = msgp.WrapError(err)
		return
	}
	var zb0001Mask uint8 /* 1 bits */
	_ = zb0001Mask
	for zb0001 > 0 {
		zb0001--
		field, err = dc.ReadMapKeyPtr()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}

  // inlineVolumeSpec contains all the information necessary to attach
  // a persistent volume defined by a pod's inline VolumeSource. This field
  // is populated only for the CSIMigration feature. It contains
  // translated fields from a pod's inline VolumeSource to a
  // PersistentVolumeSpec. This field is alpha-level and is only
  // honored by servers that enabled the CSIMigration feature.
  // +optional

        final Object fieldsObj = existingSource.get(FieldNames.FIELDS);
        if (fieldsObj instanceof List) {
            @SuppressWarnings("unchecked")
            final List<String> existingValues = (List<String>) fieldsObj;
            concatValues(existingValues, fields);
            map.put(FieldNames.FIELDS, existingValues);
        } else {
            map.put(FieldNames.FIELDS, fields);
        }

		"PFAndESI":                  "pf_and_esi",
		"AbcAndJkl":                 "abc_and_jkl",
		"EmployeeID":                "employee_id",
		"SKU_ID":                    "sku_id",
		"FieldX":                    "field_x",
		"HTTPAndSMTP":               "http_and_smtp",
		"HTTPServerHandlerForURLID": "http_server_handler_for_url_id",
		"UUID":                      "uuid",
		"HTTPURL":                   "http_url",

        } else {
            queryBuilder.must(QueryBuilders.termQuery(FieldNames.ROLES, SuggestConstants.DEFAULT_ROLE));
        }
        if (!fields.isEmpty()) {
            queryBuilder.must(QueryBuilders.termsQuery(FieldNames.FIELDS, fields));
        }
        if (!languages.isEmpty()) {
            queryBuilder.must(QueryBuilders.termsQuery(FieldNames.LANGUAGES, languages));
        }

// 	     runtime.TypeMeta    `json:",inline"`
// 	     ... // other fields
// 	}
//
// func (obj *MyAwesomeAPIObject) SetGroupVersionKind(gvk *metav1.GroupVersionKind) { metav1.UpdateTypeMeta(obj,gvk) }; GroupVersionKind() *GroupVersionKind
//
// TypeMeta is provided here for convenience. You may use it directly from this package or define
// your own with the same fields.
//
// +k8s:deepcopy-gen=false
// +protobuf=true

    # Core Vocabulary
    schema_: Optional[str] = Field(default=None, alias="$schema")
    vocabulary: Optional[str] = Field(default=None, alias="$vocabulary")
    id: Optional[str] = Field(default=None, alias="$id")
    anchor: Optional[str] = Field(default=None, alias="$anchor")
    dynamicAnchor: Optional[str] = Field(default=None, alias="$dynamicAnchor")
    ref: Optional[str] = Field(default=None, alias="$ref")

            {
                "type": "value_error.missing",
                "loc": ["body", "username"],
                "msg": "field required",
            },
            {
                "type": "value_error.missing",
                "loc": ["body", "password"],
                "msg": "field required",
            },
        ]
    }


# TODO: remove when deprecating Pydantic v1
@needs_pydanticv1

			return &r
		}
	case *ast.StructType:
		changed := false
		fields := *t.Fields
		fields.List = nil
		for _, f := range t.Fields.List {
			ft := p.rewriteUnsafe(f.Type)
			if ft == f.Type {
				fields.List = append(fields.List, f)
			} else {
				fn := *f
				fn.Type = ft
				fields.List = append(fields.List, &fn)
				changed = true
			}
		}
		if changed {
			r := *t