/// <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);
}
