【watcher】 #02 c# 中实现时间戳等,日期数字及大概率绝对随机数 实现

在Wacher的项目中,用到了很多时间记录的地方,为了将来能够和在线数据打通,我们使用了时间戳来记录时间信息

由于c# 没有现成的方法,所以我们重新写了一个Helper类来帮助我们使用这些公共函数

同时由于是静态函数,添加引用后我们便可以全局调用了。

1、通过日期获取当前的时间戳

这个时间戳是10位的时间戳,如果需要和JAVA兼容请在除法中取出3位,保存到毫秒级

        /// <summary>
        /// 获取时间戳
        /// </summary>
        /// <returns></returns>
        public static string GetTimeSecond(DateTime dataTime)
        {
            return ((dataTime.ToUniversalTime().Ticks - 621355968000000000) / 10000000).ToString();
        }

2、通过时间戳获取到DateTime信息

(无论是string还是long类型,方法中价格强制类型转换即可,目前如果传参是long类型的话只需要ToString即可 )

        /// <summary>
        /// 由时间戳到系统时间
        /// </summary>
        /// <param name="date"></param>
        /// <returns></returns>
        public static DateTime ReturnDateTime(string date)
        {
            DateTime dtStart = TimeZone.CurrentTimeZone.ToLocalTime(new DateTime(1970, 1, 1));
            long lTime = long.Parse(date + "0000000");
            TimeSpan toNow = new TimeSpan(lTime);
            return dtStart.Add(toNow);
        }

3、通过DateTime 获取数字类型的日期时间

(通过DateTime即可获得 20180808 类型的数字日期)

        /// <summary>
        /// 通过datetime格式获取 YMD格式数字类型日期
        /// 
        /// </summary>
        /// <param name="dataTime"></param>
        /// <returns></returns>
        public static long GetDateInt(DateTime dataTime)
        {
            var dateLong= dataTime.ToString("yyyyMMdd");
            return Convert.ToInt64(dateLong);
        }

4、获取绝对随机字符或绝对随机

单机每秒请求10W次不重复,【在网络请求中,我们经常会用到request_id,服务端,客户端均可使用,实测一秒内10W次请求不重复】

原理:

使用基于计算机本身的识别因子随机数的随机因子+基于GUid的随机因子的随机数+短时间戳+base64进制转化为短字符。

参考资料:https://www.cnblogs.com/linJie1930906722/p/6115917.html

              :https://blog.csdn.net/zmq5411/article/details/47322257 

/// <summary>
        /// 获取绝对随机数
        /// </summary>
        /// <returns></returns>
        public static string GetRandOnlyId()
        {
             var timeStamp= (DateTime.Now.ToUniversalTime().Ticks - 13560192000000000) / 10000000;// 减少时间戳位数形成新的短时间戳
            var beginRand= IntToi64(new Random(GetRandomSeed()).Next(0, 99999999));// 基于计算机硬件的随机因子产生随机数
            var endRand= IntToi64(new Random(GetGuidSeed()).Next(0, 99999999));// 基于Guid随机因子产生的的随机数
            var randString = beginRand+ IntToi64(timeStamp)+ endRand;
            return randString;
        }

        /// <summary>
        /// 获取不重复的随机数种子
        /// system.Security.Cryptography.RNGCryptoServiceProvider的类,它采用系统当前的硬件信息、进程信息、线程信息、系统启动时间和当前精确时间作为填充因子,通过更好的算法生成高质量的随机数
        /// </summary>
        /// <returns></returns>
        static int GetRandomSeed()
        {
            byte[] bytes = new byte[4];
            RNGCryptoServiceProvider rng = new RNGCryptoServiceProvider();
            rng.GetBytes(bytes);
            return BitConverter.ToInt32(bytes, 0);

        }

        /// <summary>
        /// 通过Guid  获取随机种子
        /// </summary>
        /// <returns></returns>
        static int GetGuidSeed()
        {
            byte[] buffer = Guid.NewGuid().ToByteArray();
            int iSeed = BitConverter.ToInt32(buffer, 0);
            return iSeed;
        }

        /// <summary>
        /// 十进制转64进制
        /// </summary>
        /// <param name="xx"></param>
        /// <returns></returns>
        public static string IntToi64(long xx)
        {
            string retStr = "";
            while (xx >= 1)
            {
                int index = Convert.ToInt16(xx - (xx / 64) * 64);
                retStr = Base64Code[index] + retStr;
                xx = xx / 64;
            }
            return retStr;
        }

        /// <summary>
        /// 64 位转化参数
        /// </summary>
        private static Dictionary<int, string> Base64Code = new Dictionary<int, string>() {
            {   0  ,"A"}, {   1  ,"B"}, {   2  ,"C"}, {   3  ,"D"}, {   4  ,"E"}, {   5  ,"F"}, {   6  ,"G"}, {   7  ,"H"}, {   8  ,"I"}, {   9  ,"J"},
            {   10  ,"K"}, {   11  ,"L"}, {   12  ,"M"}, {   13  ,"N"}, {   14  ,"O"}, {   15  ,"P"}, {   16  ,"Q"}, {   17  ,"R"}, {   18  ,"S"}, {   19  ,"T"},
            {   20  ,"U"}, {   21  ,"V"}, {   22  ,"W"}, {   23  ,"X"}, {   24  ,"Y"}, {   25  ,"Z"}, {   26  ,"a"}, {   27  ,"b"}, {   28  ,"c"}, {   29  ,"d"},
            {   30  ,"e"}, {   31  ,"f"}, {   32  ,"g"}, {   33  ,"h"}, {   34  ,"i"}, {   35  ,"j"}, {   36  ,"k"}, {   37  ,"l"}, {   38  ,"m"}, {   39  ,"n"},
            {   40  ,"o"}, {   41  ,"p"}, {   42  ,"q"}, {   43  ,"r"}, {   44  ,"s"}, {   45  ,"t"}, {   46  ,"u"}, {   47  ,"v"}, {   48  ,"w"}, {   49  ,"x"},
            {   50  ,"y"}, {   51  ,"z"}, {   52  ,"0"}, {   53  ,"1"}, {   54  ,"2"}, {   55  ,"3"}, {   56  ,"4"}, {   57  ,"5"}, {   58  ,"6"}, {   59  ,"7"},
            {   60  ,"8"}, {   61  ,"9"}, {   62  ,"+"}, {   63  ,"/"}, };

最后持续更新的 watcher beta 版下载:http://api.bobdong.cn/public/static/Win/Watcher%E5%AE%88%E6%9C%9B%E8%80%85.exe

Github地址:https://github.com/d100000/Watcher

欢迎大家提出建议

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转载自www.cnblogs.com/Bobdong/p/9400218.html
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