/// <summary> /// 获取最大遗漏 /// </summary> /// <param name="CaiData">配置信息</param> /// <param name="day">天数</param> /// <returns>周期数据列表</returns> public List <NumSpanData> GetMaxLeft(CaiConfigData CaiData, int day) { List <NumSpanData> spans = new List <NumSpanData>(); DwNumberDAO da = new DwNumberDAO(ConfigHelper.GetConnString(CaiData.CaiType)); DwSpanDAO spanda = new DwSpanDAO(ConfigHelper.GetDwSpanTableName(CaiData.NumType), ConfigHelper.GetConnString(CaiData.CaiType)); string pBegin = BizBase.getPByDate(CaiData.NowCaculate, CaiData);//开始计算的时间 string condition = " where p < " + pBegin + " order by p desc"; List <DwNumber> dtos = da.SelectTopN(day * CaiData.PeriodPerDay, condition, new string[] { "P", "D1", "N", "P2", "Date" }); string[] numList = Data.Biz.D11X5.NumberCache.Instance.GetNumbers(CaiData.NumType).ToArray <string>(); foreach (string num in numList) { NumSpanData span = new NumSpanData(); span.num = num; span.p = da.GetPeroidBefore(span.num, CaiData.NumType, CaiData.NowCaculate); span.SpanMax = spanda.SelectMaxSpan(span.num); span.SpanTillNow = BizBase.getSpanTillNow(span.p, CaiData); span.SpanAvg = spanda.SelectAvgSpan(span.num); span = this.getTimesByNum(span, CaiData, dtos); spans.Add(span); } return(spans); }
/// <summary> /// 获取指定号码的可能周期 /// </summary> /// <param name="span">周期对象数据</param> /// <param name="spans">所有周期样本</param> /// <param name="CaiData">配置数据对象</param> /// <returns></returns> private string getNextCyclesByNum(NumSpanData span, List <int> spans, CaiConfigData CaiData) { string num = span.num; int avg = span.SpanAvg; int lastp = span.SpanTillNow; List <int> cycles = new List <int>(); for (int i = 3; i < spans.Count; i++) { int cycle = 0; for (int j = 0; j < i - 1; j++) { int currentspan = spans[j]; cycle += currentspan; } int next = avg * i - cycle; next = next - lastp; int cycleMax = CaiData.PeriodPerDay * 2; if (next > 0 && next < cycleMax) { cycles.Add(next); } } cycles = cycles.OrderBy(x => x).ToList(); CaiData.StatusLabel = span.num + " NextCycles Geted!"; return(BizBase.ListToString(cycles, true)); }
/// <summary> /// 显示最新开出的数字 /// </summary> private void ShowNewNumber() { string date = BizBase.GetDateNow(); if (DateTime.Now.Hour < CaiData.TimeBeginHour) { date = DateTime.Now.AddDays(-1).ToString("yyyyMMdd"); } DwNumberDAO da = new DwNumberDAO(ConfigHelper.GetConnString(CaiData.CaiType)); string condition = "where date= " + date + " order by p desc"; List <DwNumber> lists = da.SelectTopN(CaiData.PeriodPerDay, condition, null); ListViewData lvd = new ListViewData(); lvd.name = CaiData.CaiType + " NEW"; lvd.title = new string[] { "p2", "n", "p5" }; lvd.width = new int[] { 60, 60, 100 }; lvd.values = new List <string[]>(); foreach (DwNumber dto in lists) { string[] values = new string[] { dto.P2, dto.N.ToString(), dto.P5.ToString() }; lvd.values.Add(values); } this.SetListView(listViewRealTime, lvd); groupBox1.Text = "Real Time " + DateTime.Now.ToString("yyyy-MM-dd HH:mm"); }
/// <summary> /// 获取号码下一个可能出现的周期 /// </summary> /// <param name="CaiData">配置数据</param> /// <returns>周期数据列表</returns> public List <NumSpanData> GetNextPeriod(CaiConfigData CaiData, List <NumSpanData> spans) { //需要重新计算以下值 //next 并且按照next进行排序 //计算第二天出现的情况进行参照 DwSpanDAO da = new DwSpanDAO(ConfigHelper.GetDwSpanTableName(CaiData.NumType), ConfigHelper.GetConnString(CaiData.CaiType)); foreach (NumSpanData span in spans) { int spanAvg = span.SpanAvg; //平均值 string num = span.num; string pBegin = BizBase.getPByDate(CaiData.NowCaculate, CaiData); //开始计算的时间 DataSet ds = da.SelectTopNSpan(num, 1008, pBegin); List <int> dtos = new List <int>(); foreach (DataRow dr in ds.Tables[0].Rows) { dtos.Add(Convert.ToInt32(dr["P2Spans"].ToString())); } int count = 97; List <int> cycles = new List <int>(); int cycleAvg = 0; for (int i = 0; i < count; i++) { int cycle = 0; for (int j = i + 1; j < count; j++) { int spanJust = dtos[j]; cycle += spanJust; if (Math.Abs((cycle / (j - i)) - spanAvg) <= spanAvg * 0.2) { if (j - i < CaiData.PeriodPerDay) { cycles.Add(j - i); break; } } } } //var gps = cycles.GroupBy(x =>x).ToDictionary(x=>x.Key,y=>y.Count()).OrderByDescending(x=>x.Value).ToDictionary(x=>x,y=>y); cycleAvg = Convert.ToInt32(cycles.Average()); int cycleLast = Convert.ToInt32(dtos.GetRange(0, cycleAvg - 1).Average()); //span.NextAbility = (2 * spanAvg - cycleLast).ToString(); int ability = (2 * spanAvg - cycleLast) - span.SpanTillNow; if (ability > 0 && ability < CaiData.PeriodPerDay) { span.NextAbility = ability.ToString(); } CaiData.StatusLabel = span.num + " NextPeriod Geted!"; } return(spans); }
public List <NumSpanData> GetNextPeriod(CaiConfigData CaiData) { //从缓存获取当前的指定时间的周期数据列表 List <NumSpanData> spans = BizBase.XMLDeserialize(CaiData, "所有周期"); if (spans == null) { return(null); } else { return(GetNextPeriod(CaiData, spans)); } }
/// <summary> /// 计算与当前时间的间隔 /// </summary> /// <param name="p"></param> /// <param name="CaiData"></param> /// <returns></returns> public static int getSpanTillNow(string p, CaiConfigData CaiData) { if (p == null) { return(0); } DateTime now = CaiData.NowCaculate; string lastDate = p.Substring(0, 8); int term = Convert.ToInt32(p.Substring(8, 2)); DateTime dt = Convert.ToDateTime(lastDate.Substring(0, 4) + "-" + lastDate.Substring(4, 2) + "-" + lastDate.Substring(6, 2)); int dtSplit = ((now - dt).Days) * CaiData.PeriodPerDay; int nowSpan = dtSplit + BizBase.getPeriodByDate(now, CaiData) - term; return(nowSpan); }
/// <summary> /// 获取指定号码的热度趋势 /// </summary> /// <param name="span"></param> /// <param name="CaiData"></param> /// <returns></returns> private NumSpanData getHotTrends(NumSpanData span, CaiConfigData CaiData, List <DwNumber> dtos) { List <int> times = new List <int>(); int max = dtos.Count >= 1008?1008:dtos.Count; for (int i = 0; i < 10; i++) { //按日期推算每一天前的1008期出现的次数 List <DwNumber> list = dtos.GetRange(i * CaiData.PeriodPerDay, max); times.Add(list.Where(x => x.P2 == span.num).ToList().Count); } //判断趋向热 if (times[0] == times.Max() && times[times.Count - 1] == times.Min() && times.Max() - times.Min() >= 3) { span.HotTrend = 1; } else if (times[0] == times.Min() && times[times.Count - 1] == times.Max() && times.Max() - times.Min() >= 3) { span.HotTrend = -1; } else if (times[0] != times.Max() && times[times.Count - 1] != times.Max() && times.Max() - times.Min() >= 3) { span.HotTrend = -1; } else if (times[0] != times.Min() && times[times.Count - 1] != times.Min() && times.Max() - times.Min() >= 3) { span.HotTrend = 1; } else { span.HotTrend = 0; } span.HotRecent = BizBase.ListToString(times); return(span); }
/// <summary> /// 获取周期统计 /// </summary> /// <param name="CaiData">配置数据对象</param> /// <returns>周期对象列表</returns> public List <NumSpanData> GetSpanCount(CaiConfigData CaiData) { if (CaiData.IsLoadFromCache) { //从缓存中获取 List <NumSpanData> re = BizBase.XMLDeserialize(CaiData); if (re != null) { //计算一下next period re = GetNextPeriod(CaiData, re); return(re); } } List <NumSpanData> spans = new List <NumSpanData>(); DwSpanDAO da = new DwSpanDAO("DwPeroidSpan", ConfigHelper.GetConnString(CaiData.CaiType)); //全部数字组合 string[] numList = Data.Biz.D11X5.NumberCache.Instance.GetNumbers(CaiData.NumType).ToArray <string>(); //获取今天出的全部号码 DwNumberDAO nda = new DwNumberDAO(ConfigHelper.GetConnString(CaiData.CaiType)); DateTime dt = CaiData.NowCaculate.AddDays(1); string NumCondition = "where date = " + dt.ToString("yyyyMMdd"); List <DwNumber> TodayDtos = nda.SelectWithCondition(NumCondition, new string[] { "P", "D1", "N", "P2", "Date" }); foreach (string num in numList) { NumSpanData span = new NumSpanData(); span.num = num; string pBegin = BizBase.getPByDate(CaiData.NowCaculate, CaiData);//开始计算的时间 DataSet dtos = da.SelectTopNSpan(num, 1008, pBegin); List <int> spanList = new List <int>(); int i = 0; foreach (DataRow dto in dtos.Tables[0].Rows) { if (i == 0) { span.p = dto["P"].ToString(); span.SpanLast = Convert.ToInt32(dto["P2Spans"].ToString()); span.SpanTillNow = BizBase.getSpanTillNow(span.p, CaiData); } //span.SpanRec += dto["P2Span"].ToString() + ","; i++; spanList.Add(Convert.ToInt32(dto["P2Spans"].ToString())); } span.SpanMax = da.SelectMaxSpan(span.num); span.SpanAvg = da.SelectAvgSpan(span.num); span.NextAll = getNextCyclesByNum(span, spanList, CaiData); //pBegin后的第二天出现的期数 span.Next = this.GETNFromDate(span.num, CaiData, TodayDtos); //最小误差 span = this.GetNextTest(span); //最近出现的总次数及每日次数 string numsql = " where p < " + pBegin + " order by p desc"; List <DwNumber> numdtos = nda.SelectTopN((1008 + (10 * CaiData.PeriodPerDay)), numsql, new string[] { "P", "D1", "N", "P2", "Date" }); span = this.getTimesByNum(span, CaiData, numdtos); span.TimesDay1 = span.Next.Split(',').Length - 1; //最近周期 span = this.getHotTrends(span, CaiData, numdtos); //周期热度 if (span.Times < 5) { span.HotType = -1; } else if (span.Times >= 12) { span.HotType = 1; } else { span.HotType = 0; } CaiData.StatusLabel = span.num + " Caculated!"; spans.Add(span); } //计算一下next period spans = GetNextPeriod(CaiData, spans); //序列化保存至缓存 BizBase.XMLSerialize(spans, CaiData); return(spans); }