/// <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);
}
/// <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);
}
