Object[] args = joinPoint.getArgs(); if(args != null) { String jsonString = JSONObject.toJSONString(args[0]); /** 验证的结果,可以返回,也可以写个全局捕捉的异常 */ String validMsg = validJson(jsonString, jsonValid.schemaName()); } logger.info("数据:"+ JSONObject.toJSONString(args)...
<script type="text/javascript">require(["dojox/json/schema"], function() {//Object to validatevar successObj ={"foo" : "bar"}; var failureObj={"foo" : 1234};//Schemavar schema ={"type": "object","properties": {"foo": {"type" : "string"} } };//var result = dojox.json.s...
"$schema": "http://json-schema.org/draft-04/schema#", "title": "Product", "description": "A product from Acme's catalog", "type": "object", "properties": { "id": { "description": "The unique identifier for a product", "type": "integer" }, "name": { "description": "Name...
{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "http://example.com/product.schema.json", "title": "Product", "description": "A product from Acme's catalog", "type": "object", "properties": { "productId": { "description": "The unique identifier for a product...
* @param schemaPath JsonSchema标准的路径 * @param responseJson 需要验证的Json数据 * @throws IOException 抛出IO异常 */ public static void assertResponseJsonSchema(String schemaPath, JSONObject responseJson) throws IOException { String response = JSON.toJSONString(responseJson); ...
JSON to JSON Schema Generator output with options set to relaxed {"$schema":"http://json-schema.org/draft-04/schema#","type":"object","properties": {"Book": {"type":"array","items": {"type":"object","properties": {"Title": {"type":"string"},"Price": {"type":"number"},"...
json schema关键字 typele类型常见的取值 string,object,array,integer(只能是int),number(float或者int),null,boolean string maxLength: 校验string字符串的最大长度。超出长度校验失败。 minLength: 校验string字符串的最小长度。小于长度校验失败。 pattern: 字符串满足指定的正则表达式,才算通过校验。
在Json Schema中使用type关键字来约定数据类型。和Json对应,Json Schema中定义的基本数据类型如下: string Numeric types (integer,number) object array boolean null A、string 1、约束类型 通过type关键字可约束string类型,即对应的数据对象必须是字符串形式的文本(支持unicode字符)。
以一份校验用户信息的JSON Schema为例,如下, { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "first_name": { "type": "string" }, "last_name": { "type": "string" }, "birthday": { "type": "string", "format": "date" }, "addres...
schema = { "type": "object", "properties": { "test": { "type": "integer", "minimum": 0, "maximum": 100, jsonschema.validate(instance={"test": 1}, schema=schema) JSON Schema可以帮助缓解某些解析漏洞,比如类型检查和限制允许的整数范围。但不一致的解析将是JSON Schema的一个盲点。