.NET FrameWork 2.0 并没有提供JSON 字符串对象化工具,因此尝试写了这个转换器, 目前已投入使用,分享一下. 实现方式是:正则 + 递归. 对需要转换的Json 字符串复杂度没有要求. 欢迎测试,并提供反馈,谢谢. 第一次运行,有点慢,估计是初使化正则占用了时间,这些正则是静态的,之后的转换会加快.
/*create by ayymbirst @gmail.com */
using System;
using System.Collections.Generic;
using System.Text;
using System.Text.RegularExpressions;
namespace JsonConver
{
/// <summary>
/// 节点枚举
/// </summary>
public enum NodeType
{
/// <summary>
/// 标识数组
/// </summary>
IsArray
,
/// <summary>
/// 标识对象
/// </summary>
IsObject
,
/// <summary>
/// 标识元数据
/// </summary>
IsOriginal
,
/// <summary>
/// 未知格式
/// </summary>
Undefined
}
//描述Json节点
public class JsonNode
{
public NodeType NodeType;
public List<JsonNode> List;
public Dictionary<string, JsonNode> DicObject;
public string Value;
}
/// <summary>
/// json 字符串对象化
/// </summary>
public class ConvertJsonObject
{
static string regTxt = "({0}[^{0}{1}]*(((?'Open'{0})[^{0}{1}]*)+((?'-Open'{1})[^{0}{1}]*)+)*(?(Open)(?!)){1})";
//匹配字符串(单双引号范围)
static string regKeyValue = "({0}.{1}?(?<!\\\\){0})"; //判断是否包含单,双引号
//匹配元数据(不包含对象,数组)
static string regOriginalValue = string.Format("({0}|{1}|{2})", string.Format(regKeyValue, "'", "*"), string.Format(regKeyValue, "\"", "*"), "\\w+");
//匹配value (包含对象数组)
static string regValue = string.Format("({0}|{1}|{2})", regOriginalValue //字符
, string.Format(regTxt, "\\[", "\\]"), string.Format(regTxt, "\\{", "\\}"));
//匹配键值对
static string regKeyValuePair = string.Format("\\s*(?<key>{0}|{1}|{2})\\s*:\\s*(?<value>{3})\\s*"
, string.Format(regKeyValue, "'", "+"), string.Format(regKeyValue, "\"", "+"), "([^ :,]+)" //匹配key
, regValue); //匹配value
/// <summary>
/// 判断是否是对象
/// </summary>
static Regex RegJsonStrack1 = new Regex(string.Format("^\\{0}(({2})(,(?=({2})))?)+\\{1}$", "{", "}", regKeyValuePair), RegexOptions.Compiled);
/// <summary>
/// 判断是否是序列
/// </summary>
static Regex RegJsonStrack2 = new Regex(string.Format("^\\[(({0})(,(?=({0})))?)+\\]$", regValue), RegexOptions.Compiled);
/// <summary>
/// 判断键值对
/// </summary>
static Regex RegJsonStrack3 = new Regex(regKeyValuePair, RegexOptions.Compiled);
//匹配value
static Regex RegJsonStrack4 = new Regex(regValue, RegexOptions.Compiled);
//匹配元数据
static Regex RegJsonStrack6 = new Regex(string.Format("^{0}$", regOriginalValue), RegexOptions.Compiled);
//移除两端[] , {}
static Regex RegJsonRemoveBlank = new Regex("(^\\s*[\\[\\{'\"]\\s*)|(\\s*[\\]\\}'\"]\\s*$)", RegexOptions.Compiled);
string JsonTxt;
public ConvertJsonObject(string json)
{
//去掉换行符
json = Regex.Replace(json, "[\r\n]", "");
JsonTxt = json;
}
/// <summary>
/// 判断节点内型
/// </summary>
/// <param name="json"></param>
/// <returns></returns>
public NodeType MeasureType(string json)
{
if (RegJsonStrack1.IsMatch(json))
{
return NodeType.IsObject;
}
if (RegJsonStrack2.IsMatch(json))
{
return NodeType.IsArray;
}
if (RegJsonStrack6.IsMatch(json))
{
return NodeType.IsOriginal;
}
return NodeType.Undefined;
}
/// <summary>
/// json 字符串序列化为对象
/// </summary>
/// <param name="json"></param>
/// <returns></returns>
public JsonNode SerializationJsonNodeToObject()
{
return SerializationJsonNodeToObject(JsonTxt);
}
/// <summary>
/// json 字符串序列化为对象
/// </summary>
/// <param name="json"></param>
/// <returns></returns>
public JsonNode SerializationJsonNodeToObject(string json)
{
json = json.Trim();
NodeType nodetype = MeasureType(json);
if (nodetype == NodeType.Undefined)
{
throw new Exception("未知格式Json: " + json);
}
JsonNode newNode = new JsonNode();
newNode.NodeType = nodetype;
if (nodetype == NodeType.IsArray)
{
json = RegJsonRemoveBlank.Replace(json, "");
MatchCollection matches = RegJsonStrack4.Matches(json);
newNode.List = new List<JsonNode>();
foreach (Match match in matches)
{
if (match.Success)
{
newNode.List.Add(SerializationJsonNodeToObject(match.Value));
}
}
}
else if (nodetype == NodeType.IsObject)
{
json = RegJsonRemoveBlank.Replace(json, "");
MatchCollection matches = RegJsonStrack3.Matches(json);
newNode.DicObject = new Dictionary<string, JsonNode>();
string key;
foreach (Match match in matches)
{
if (match.Success)
{
key = RegJsonRemoveBlank.Replace(match.Groups["key"].Value, "");
if (newNode.DicObject.ContainsKey(key))
{
throw new Exception("json 数据中包含重复键, json:" + json);
}
newNode.DicObject.Add(key, SerializationJsonNodeToObject(match.Groups["value"].Value));
}
}
}
else if (nodetype == NodeType.IsOriginal)
{
newNode.Value = RegJsonRemoveBlank.Replace(json, "").Replace("\\r\\n", "\r\n");
}
return newNode;
}
}
}
其中 JsonNode 是返回解析结果
NodeType 是枚举类型,表示当前节点是什么类型.
IsArray: JsonNode.List
IsObject:JsonNode.DicObject
IsOriginal:JsonNode.Value
Json 字符串换行请用双斜杠,如 "aa\\r\\nbb",表示aa,bb 为相邻两行.
调用代码:
JsonConver.ConvertJsonObject jsonObj = new JsonConver.ConvertJsonObject("{'a':11,'b':[1,2,3],'c':{'a':1,'b':[1,2,3]}}");
JsonConver.JsonNode node = jsonObj.SerializationJsonNodeToObject();
if (node.NodeType == JsonConver.NodeType.IsObject)
{
if (node.DicObject["a"].NodeType == JsonConver.NodeType.IsOriginal)
{
Console.Write("key:a , value:");
Console.Write(node.DicObject["a"].Value);
Console.WriteLine();
}
if (node.DicObject["b"].NodeType == JsonConver.NodeType.IsArray)
{
Console.Write("key:b,value for first:");
Console.Write(node.DicObject["b"].List[0].Value);
Console.WriteLine();
}
if (node.DicObject["c"].NodeType == JsonConver.NodeType.IsObject)
{
if (node.DicObject["c"].DicObject["a"].NodeType == JsonConver.NodeType.IsOriginal)
{
Console.Write("key:c 子对象值: , value:");
Console.Write(node.DicObject["c"].DicObject["a"].Value);
Console.WriteLine();
}
}
}
Console.Read();
转载于:https://www.cnblogs.com/a_bu/archive/2012/10/10/2719168.html