private List <int> GetPredictData(PlanInfoDto normPlanInfo, LotteryDataList lotteryDataList)
{
var predictData = new List <int>();
if (normPlanInfo.PlanPosition == PlanPosition.Single)
{
var positionInfo = normPlanInfo.PositionInfos.First();
predictData.AddRange(lotteryDataList.LotteryDatas(positionInfo.Position));
}
else if (normPlanInfo.PlanPosition == PlanPosition.Multiple)
{
var positions = normPlanInfo.PositionInfos.Select(p => p.Position).ToArray();
predictData.AddRange(lotteryDataList.LotteryDatas(NumberType.Number, positions));
}
else
{
var positionInfo = normPlanInfo.PositionInfos.First();
predictData.AddRange(lotteryDataList.LotteryDatas(positionInfo.Position, NumberType.Rank));
}
return(predictData);
}
private PredictDataDto PredictAppointedPeroidNormData(string lotteryId, int predictPeriod, NormConfigDto userNorm, bool isSwitchFormula = false)
{
var lotteryCount = GetHistoryLotteryCount(userNorm);
var predictLotteryData = _lotteryDataQueryService.GetPredictPeriodDatas(lotteryId, predictPeriod - 1, lotteryCount);
var lotteryDataList = new LotteryDataList(predictLotteryData);
var lotteryEngine = EngineContext.LotterEngine(lotteryId);
var normPlanInfo = _planInfoQueryService.GetPlanInfoById(userNorm.PlanId);
var predictData = GetPredictData(normPlanInfo, lotteryDataList);
var positionInfo = normPlanInfo.PositionInfos.First();
var count = positionInfo.MaxValue - positionInfo.MinValue + 1;
string predictedData = String.Empty;
IDictionary <int, double> predictedDataRate;
try
{
AlgorithmType algorithmType = normPlanInfo.AlgorithmType;
if (isSwitchFormula)
{
algorithmType = AlgorithmType.Mock;
}
try
{
predictedDataRate = lotteryEngine.GetPerdictor(algorithmType)
.Predictor(predictData, count, userNorm.UnitHistoryCount, userNorm.HistoryCount, new Tuple <int, int>(positionInfo.MinValue, positionInfo.MaxValue));
}
catch (Exception e)
{
try
{
algorithmType = AlgorithmType.Temperature;
predictedDataRate = lotteryEngine.GetPerdictor(algorithmType)
.Predictor(predictData, count, userNorm.UnitHistoryCount, userNorm.HistoryCount, new Tuple <int, int>(positionInfo.MinValue, positionInfo.MaxValue));
}
catch (Exception e2)
{
algorithmType = AlgorithmType.Mock;
predictedDataRate = lotteryEngine.GetPerdictor(algorithmType)
.Predictor(predictData, count, userNorm.UnitHistoryCount, userNorm.HistoryCount, new Tuple <int, int>(positionInfo.MinValue, positionInfo.MaxValue));
}
}
var computePredictResult = ComputePredictFatory.CreateComputePredictResult(normPlanInfo.PredictCode, predictedDataRate);
predictedData = computePredictResult.GetPredictedData(normPlanInfo, userNorm);
//predictedDataRate != null ?
//GetPredictedDataByRate(predictedDataRate, normPlanInfo.DsType, userNorm)
//: GetPredictedDataMock(normPlanInfo, userNorm);
}
catch (Exception ex)
{
_logger.Error(ex);
predictedData = GetPredictedDataMock(normPlanInfo, userNorm);
}
var predictDataInfo = new PredictDataDto()
{
NormConfigId = userNorm.Id,
CurrentPredictPeriod = predictPeriod,
StartPeriod = predictPeriod,
EndPeriod = predictPeriod + userNorm.PlanCycle - 1,
MinorCycle = 1,
PredictedData = predictedData,
PredictedResult = (int)PredictedResult.Running,
PredictType = normPlanInfo.DsType,
};
return(predictDataInfo);
}
