private OutputResult Sum(KeyOutputConfiguration keyOutput, int scenarioId, int kpiIdIndex = 0)
{
var currentYear = DateTime.Now.Year;
var currentMonth = DateTime.Now.Month;
var result = new OutputResult();
var kpiIds = keyOutput.KpiIds.Split(',').Select(x => int.Parse(x)).ToList();
var kpiId = keyOutput.Kpis.First(x => x.Id == kpiIds[kpiIdIndex]).Id;
var assumptionIds = keyOutput.KeyAssumptionIds.Split(',').Select(x => int.Parse(x)).ToList();
var startId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[0]).Id;
var endId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[1]).Id;
var startAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == startId);
var endAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == endId);
if (startAssumption == null || endAssumption == null)
{
return new OutputResult();
}
DateTime startForecast;
DateTime endForecast;
if (IsStartAndEndValid(startAssumption.ForecastValue, endAssumption.ForecastValue, out startForecast, out endForecast))
{
var forecastValue = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId && x.Scenario.Id == scenarioId
&& x.Periode.Year >= startForecast.Year && x.Periode.Year <= endForecast.Year && x.PeriodeType == PeriodeType.Yearly
&& x.Value.HasValue)
.Sum(x => x.Value);
if (forecastValue.HasValue) result.Forecast = forecastValue.ToString();
}
DateTime startActual;
DateTime endActual;
if (IsStartAndEndValid(startAssumption.ActualValue, endAssumption.ActualValue, out startActual, out endActual))
{
var pastValue = DataContext.KpiAchievements.Where(x => x.Kpi.Id == kpiId
&& x.Periode.Year >= startActual.Year && x.Periode.Year < currentYear && x.PeriodeType == PeriodeType.Yearly
&& x.Value.HasValue).Sum(x => x.Value);
var futureValue = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId
&& x.Periode.Year <= endActual.Year && x.Periode.Year > currentYear && x.PeriodeType == PeriodeType.Yearly && x.Scenario.Id == scenarioId
&& x.Value.HasValue).Sum(x => x.Value);
var untilNowThisYear = DataContext.KpiAchievements.Where(x => x.Kpi.Id == kpiId && x.Periode.Year == currentYear
&& x.PeriodeType == PeriodeType.Monthly && x.Value.HasValue).OrderBy(x => x.Periode).ToList();
var startingForecastMonthCurrentYear = 1;
if (untilNowThisYear.Count > 0)
{
startingForecastMonthCurrentYear = untilNowThisYear.Last().Periode.Month + 1;
}
var untilNowThisYearValue = untilNowThisYear.Sum(x => x.Value);
var thisYearForecastValue = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId && x.Periode.Year == currentYear
&& x.Periode.Month >= startingForecastMonthCurrentYear && x.PeriodeType == PeriodeType.Monthly && x.Scenario.Id == scenarioId
&& x.Value.HasValue).Sum(x => x.Value);
var actualValues =
new List<double?> { pastValue, futureValue, untilNowThisYearValue, thisYearForecastValue };
if (actualValues.Any(x => x.HasValue))
{
result.Actual = actualValues.Sum().ToString();
}
}
return result;
}
private OutputResult Payback(KeyOutputConfiguration keyOutput, int scenarioId, bool fromCOD = true)
{
var currentYear = DateTime.Now.Year;
var currentMonth = DateTime.Now.Month;
var currentDate = DateTime.Now;
var result = new OutputResult();
var kpiIds = keyOutput.KpiIds.Split(',').Select(x => int.Parse(x)).ToList();
var kpiId = keyOutput.Kpis.First(x => x.Id == kpiIds[0]).Id;
var assumptionIds = keyOutput.KeyAssumptionIds.Split(',').Select(x => int.Parse(x)).ToList();
var startId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[0]).Id;
var endId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[1]).Id;
var commercialId = 0;
KeyAssumptionData commercialAssumption = null;
if (fromCOD)
{
commercialId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[2]).Id;
commercialAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == commercialId);
}
var startAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == startId);
var endAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == endId);
if (startAssumption == null || endAssumption == null)
{
return new OutputResult();
}
DateTime startForecast;
DateTime endForecast;
if (IsStartAndEndValid(startAssumption.ForecastValue, endAssumption.ForecastValue, out startForecast, out endForecast))
{
var forecastList = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId && x.Scenario.Id == scenarioId
&& x.Periode.Year >= startForecast.Year && x.Periode.Year <= endForecast.Year
&& x.PeriodeType == PeriodeType.Yearly
&& x.Value.HasValue).ToList();
var accumulationForecastList = new List<KeyOperationData>();
foreach (var fc in forecastList.OrderBy(x => x.Periode).ToList())
{
var accForecast = new KeyOperationData
{
Periode = fc.Periode,
PeriodeType = fc.PeriodeType,
Value = forecastList.Where(x => x.Periode <= fc.Periode).Sum(x => x.Value)
};
accumulationForecastList.Add(accForecast);
}
var forecast = accumulationForecastList.OrderBy(x => x.Periode).FirstOrDefault(x => x.Value > 0);
double breakEventYearWeight = 1;
if (forecast != null && forecast.Periode.Year != startForecast.Year)
{
var prev = accumulationForecastList.FirstOrDefault(x => x.Periode.Year == (forecast.Periode.Year - 1));
if (prev != null && prev.Value - forecast.Value != 0)
{
breakEventYearWeight = double.Parse(string.Format("{0:0.0}", (prev.Value / (prev.Value - forecast.Value))));
}
if (prev != null)
{
result.Forecast = (forecast.Periode.Year - startForecast.Year + breakEventYearWeight).ToString();
DateTime constForecast;
DateTime commercialForecast;
if (fromCOD && IsStartAndEndValid(startAssumption.ForecastValue, commercialAssumption.ForecastValue, out constForecast, out commercialForecast))
{
result.Forecast = (double.Parse(result.Forecast) - ((commercialForecast - constForecast).Days / 365.00)).ToString();
}
}
}
}
DateTime startActual;
DateTime endActual;
if (IsStartAndEndValid(startAssumption.ActualValue, endAssumption.ActualValue, out startActual, out endActual))
{
var pastValues = DataContext.KpiAchievements.Where(x => x.Kpi.Id == kpiId
&& x.Periode.Year >= startActual.Year && x.Periode.Year < currentYear
&& x.PeriodeType == PeriodeType.Yearly
&& x.Value.HasValue).Select(x => new { Value = x.Value, Periode = x.Periode, PeriodeType = x.PeriodeType }).ToList();
var futureValues = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId
&& x.Periode.Year <= endActual.Year && x.Periode.Year > currentYear
&& x.PeriodeType == PeriodeType.Yearly && x.Scenario.Id == scenarioId
&& x.Value.HasValue).Select(x => new { Value = x.Value, Periode = x.Periode, PeriodeType = x.PeriodeType }).ToList();
var untilNowThisYear = DataContext.KpiAchievements.Where(x => x.Kpi.Id == kpiId && x.Periode.Year == currentYear
&& x.PeriodeType == PeriodeType.Monthly && x.Value.HasValue).OrderBy(x => x.Periode).ToList();
var startingForecastMonthCurrentYear = 1;
if (untilNowThisYear.Count > 0)
{
startingForecastMonthCurrentYear = untilNowThisYear.Last().Periode.Month + 1;
}
var untilNowThisYearValue = untilNowThisYear.Sum(x => x.Value);
var thisYearForecastValue = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId
&& x.Periode.Year == currentYear && x.Periode.Month >= startingForecastMonthCurrentYear
&& x.PeriodeType == PeriodeType.Monthly && x.Scenario.Id == scenarioId
&& x.Value.HasValue).Sum(x => x.Value);
var currentYearValue = new
{
Value = new List<double?> { thisYearForecastValue, untilNowThisYearValue }.Sum(),
Periode = DateTime.Now,
PeriodeType = PeriodeType.Yearly
};
pastValues.Add(currentYearValue);
var actualList = pastValues.Concat(futureValues);
var accActualList = new List<KeyOperationData>();
foreach (var ac in actualList.OrderBy(x => x.Periode).ToList())
{
var accActual = new KeyOperationData
{
Periode = ac.Periode,
PeriodeType = ac.PeriodeType,
Value = actualList.Where(x => x.Periode <= ac.Periode).Sum(x => x.Value)
};
accActualList.Add(accActual);
}
var actual = accActualList.OrderBy(x => x.Periode).FirstOrDefault(x => x.Value > 0);
double actualBreakEventYearWeight = 1;
if (actual != null && actual.Periode.Year != startForecast.Year)
{
var prev = accActualList.FirstOrDefault(x => x.Periode.Year == (actual.Periode.Year - 1));
if (prev != null && prev.Value - actual.Value != 0)
{
actualBreakEventYearWeight = double.Parse(string.Format("{0:0.0}", (prev.Value / (prev.Value - actual.Value))));
}
if (prev != null)
{
result.Actual = (actual.Periode.Year - startForecast.Year + actualBreakEventYearWeight).ToString();
DateTime constActual;
DateTime commercialActual;
if (fromCOD && IsStartAndEndValid(startAssumption.ActualValue, commercialAssumption.ActualValue, out constActual, out commercialActual))
{
result.Actual = (double.Parse(result.Actual) - ((commercialActual - constActual).Days / 365.00)).ToString();
}
}
}
}
return result;
}
private OutputResult ProfitInvestmentRatio(KeyOutputConfiguration keyOutput, int scenarioId)
{
var fcf = this.Sum(keyOutput, scenarioId);
var projectCost = this.Sum(keyOutput, scenarioId, 1);
var result = new OutputResult();
if (!string.IsNullOrEmpty(fcf.Actual) && !string.IsNullOrEmpty(projectCost.Actual))
{
result.Actual = String.Format("{0:0.0}", double.Parse(fcf.Actual) /
double.Parse(projectCost.Actual));
}
if (!string.IsNullOrEmpty(fcf.Forecast) && !string.IsNullOrEmpty(projectCost.Forecast))
{
result.Forecast = String.Format("{0:0.0}", double.Parse(fcf.Forecast) /
double.Parse(projectCost.Forecast));
}
return result;
}
private OutputResult MinDate(KeyOutputConfiguration keyOutput, int scenarioId)
{
var currentYear = DateTime.Now.Year;
var currentMonth = DateTime.Now.Month;
var currentDate = DateTime.Now;
var result = new OutputResult();
var kpiIds = keyOutput.KpiIds.Split(',').Select(x => int.Parse(x)).ToList();
var kpiId = keyOutput.Kpis.First(x => x.Id == kpiIds[0]).Id;
var assumptionIds = keyOutput.KeyAssumptionIds.Split(',').Select(x => int.Parse(x)).ToList();
var startId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[0]).Id;
var endId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[1]).Id;
var startAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == startId);
var endAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == endId);
if (startAssumption == null || endAssumption == null)
{
return new OutputResult();
}
DateTime startForecast;
DateTime endForecast;
if (IsStartAndEndValid(startAssumption.ForecastValue, endAssumption.ForecastValue, out startForecast, out endForecast))
{
var minForecast = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId && x.Scenario.Id == scenarioId
&& x.Periode >= startForecast && x.Periode <= endForecast && x.PeriodeType == PeriodeType.Monthly
&& x.Value != keyOutput.ExcludeValue
&& x.Value.HasValue)
.OrderBy(x => x.Value).FirstOrDefault();
if (minForecast != null) result.Forecast = minForecast.Periode.AddMonths(1).AddDays(-1).ToString();
}
DateTime startActual;
DateTime endActual;
if (IsStartAndEndValid(startAssumption.ActualValue, endAssumption.ActualValue, out startActual, out endActual))
{
var pastValues = DataContext.KpiAchievements.Where(x => x.Kpi.Id == kpiId
&& x.Periode >= startActual && x.PeriodeType == PeriodeType.Monthly
&& x.Value != keyOutput.ExcludeValue
&& x.Value.HasValue).OrderBy(x => x.Periode).Select(x => new
{
Periode = x.Periode,
Value = x.Value
});
var startingDateForecast = startActual;
if (pastValues.Count() > 0) {
startingDateForecast = pastValues.Last().Periode.AddMonths(1);
}
var futureValues = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId
&& x.Periode >= startingDateForecast && x.Periode <= endForecast && x.PeriodeType == PeriodeType.Monthly && x.Scenario.Id == scenarioId
&& x.Value != keyOutput.ExcludeValue
&& x.Value.HasValue).Select(x => new
{
Periode = x.Periode,
Value = x.Value
});
var minActual = pastValues.Concat(futureValues).OrderBy(x => x.Value).FirstOrDefault();
if (minActual != null) result.Actual = minActual.Periode.AddMonths(1).AddDays(-1).ToString();
}
return result;
}
private OutputResult Irr(KeyOutputConfiguration keyOutput, int scenarioId)
{
var currentYear = DateTime.Now.Year;
var currentMonth = DateTime.Now.Month;
var currentDate = DateTime.Now;
var result = new OutputResult();
var kpiId = keyOutput.Kpis[0].Id;
var keyAssumptionIds = keyOutput.KeyAssumptionIds.Split(',');
var startId = int.Parse(keyAssumptionIds[0]);
var endId = int.Parse(keyAssumptionIds[1]);
var startAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == startId);
var endAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == endId);
if (startAssumption == null || endAssumption == null)
{
return new OutputResult();
}
DateTime startForecast;
DateTime endForecast;
if (IsStartAndEndValid(startAssumption.ForecastValue, endAssumption.ForecastValue, out startForecast, out endForecast))
{
var forecast = DataContext.KeyOperationDatas.Where(x => x.Scenario.Id == scenarioId && x.Kpi.Id == kpiId
&& x.Periode.Year >= startForecast.Year && x.Periode.Year <= endForecast.Year
&& x.PeriodeType == PeriodeType.Yearly
&& x.Value.HasValue).OrderBy(x => x.Periode).Select(x => x.Value.Value).ToList().ToArray();
if (forecast.Length >= 2)
{
var forecastIrrCalculator = new NewtonRaphsonIRRCalculator(forecast);
result.Forecast = forecastIrrCalculator.ComputeIRR().ToString();
}
}
DateTime startActual;
DateTime endActual;
if (IsStartAndEndValid(startAssumption.ActualValue, endAssumption.ActualValue, out startActual, out endActual))
{
var past = DataContext.KpiAchievements.Where(x => x.Kpi.Id == kpiId
&& startActual.Year <= x.Periode.Year && x.Periode.Year < currentYear
&& x.PeriodeType == PeriodeType.Yearly && x.Value.HasValue).OrderBy(x => x.Periode).Select(x => x.Value).ToList();
var future = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId && x.Scenario.Id == scenarioId
&& x.Periode.Year <= endActual.Year && x.Periode.Year > currentYear
&& x.PeriodeType == PeriodeType.Yearly && x.Value.HasValue).OrderBy(x => x.Periode).Select(x => x.Value).ToList();
var untilNowThisYear = DataContext.KpiAchievements.Where(x => x.Kpi.Id == kpiId
&& x.PeriodeType == PeriodeType.Monthly
&& x.Periode.Year == currentYear && x.Value.HasValue).OrderBy(x => x.Periode).ToList();
var startingMonthForecast = 1;
if (untilNowThisYear.Count > 0)
{
startingMonthForecast = untilNowThisYear.Last().Periode.Month + 1;
}
var currentPastMonths = untilNowThisYear.Sum(x => x.Value);
var currentNextMonths = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId && x.Scenario.Id == scenarioId
&& x.Periode.Year == currentYear && x.Periode.Month >= startingMonthForecast
&& x.PeriodeType == PeriodeType.Monthly && x.Value.HasValue).OrderBy(x => x.Periode).Sum(x => x.Value);
past.Add(currentPastMonths + currentNextMonths);
var actualArray = past.Concat(future).ToArray();
if (actualArray.Length >= 2)
{
var actualIrrCalculator = new NewtonRaphsonIRRCalculator(actualArray.Select(x => x.HasValue ? x.Value : 0).ToArray());
result.Actual = actualIrrCalculator.ComputeIRR().ToString();
}
}
return result;
}
//by default it will use sum as aggregator
private OutputResult HeaderSubstruction(KeyOutputConfiguration keyOutput, int scenarioId, bool useAverage = false)
{
var currentYear = DateTime.Now.Year;
var currentMonth = DateTime.Now.Month;
var currentDate = DateTime.Now;
var kpiIds = keyOutput.KpiIds.Split(',').Select(x => int.Parse(x)).ToList();
var headId = kpiIds[0];
var result = new OutputResult();
var assumptionIds = keyOutput.KeyAssumptionIds.Split(',').Select(x => int.Parse(x)).ToList();
var startId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[0]).Id;
var endId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[1]).Id;
var startAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == startId);
var endAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == endId);
if (startAssumption == null || endAssumption == null)
{
return new OutputResult();
}
var headKeyOutpu = new KeyOutputConfiguration();
headKeyOutpu.KeyAssumptions = keyOutput.KeyAssumptions;
headKeyOutpu.KeyAssumptionIds = keyOutput.KeyAssumptionIds;
headKeyOutpu.Kpis = new List<Kpi> { keyOutput.Kpis.First(x => x.Id == headId) };
headKeyOutpu.KpiIds = headId.ToString();
var headResult = new OutputResult();
if (useAverage)
{
headResult = Average(headKeyOutpu, scenarioId);
}
else
{
headResult = Sum(headKeyOutpu, scenarioId);
}
var restResults = new List<OutputResult>();
foreach (var kpiId in kpiIds)
{
if (kpiId != headId)
{
var newKeyOutput = new KeyOutputConfiguration();
newKeyOutput.KeyAssumptions = keyOutput.KeyAssumptions;
newKeyOutput.KeyAssumptionIds = keyOutput.KeyAssumptionIds;
newKeyOutput.Kpis = new List<Kpi> { keyOutput.Kpis.First(x => x.Id == kpiId) };
newKeyOutput.KpiIds = kpiId.ToString();
if (useAverage)
{
restResults.Add(Average(newKeyOutput, scenarioId));
}
else
{
restResults.Add(Sum(newKeyOutput, scenarioId));
}
}
}
if (!string.IsNullOrEmpty(headResult.Forecast))
{
result.Forecast = (double.Parse(headResult.Forecast) - restResults.Select(x => x.Forecast).Sum(x => string.IsNullOrEmpty(x) ? 0.00 : double.Parse(x))).ToString();
}
if (!string.IsNullOrEmpty(headResult.Actual))
{
result.Actual = (double.Parse(headResult.Actual) - restResults.Select(x => x.Actual).Sum(x => string.IsNullOrEmpty(x) ? 0.00 : double.Parse(x))).ToString();
}
return result;
}
private OutputResult CompletionDate(KeyOutputConfiguration keyOutput, int scenarioId)
{
var currentYear = DateTime.Now.Year;
var currentMonth = DateTime.Now.Month;
var currentDate = DateTime.Now;
var result = new OutputResult();
var kpiId = keyOutput.Kpis[0].Id;
var completionId = keyOutput.KeyAssumptions[0].Id;
var completionAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == completionId);
if (completionAssumption == null)
{
return new OutputResult();
}
DateTime completionForecast;
DateTime completionActual;
if (IsStartAndEndValid(completionAssumption.ForecastValue, completionAssumption.ActualValue, out completionForecast, out completionActual))
{
var forecast = DataContext.KeyOperationDatas.FirstOrDefault(x => x.Kpi.Id == kpiId && x.Scenario.Id == scenarioId
&& x.PeriodeType == PeriodeType.Monthly
&& x.Periode.Year == completionForecast.Year && x.Periode.Month == completionForecast.Month
&& x.Value.HasValue);
if (forecast != null) result.Forecast = forecast.Value.ToString();
if (currentYear == completionActual.Year)
{
var untilNowThisYear = DataContext.KpiAchievements.Where(x => x.Kpi.Id == kpiId
&& x.PeriodeType == PeriodeType.Monthly
&& x.Periode.Year == completionForecast.Year && x.Value.HasValue).OrderBy(x => x.Periode).ToList();
var startingMonthForecast = 1;
if (untilNowThisYear.Count > 0)
{
startingMonthForecast = untilNowThisYear.Last().Periode.Month + 1;
}
var pastMonthsThisYear = untilNowThisYear.Sum(x => x.Value);
var nextMonthThisYear = DataContext.KeyOperationDatas.Where(x => x.Kpi.Id == kpiId && scenarioId == x.Scenario.Id
&& x.PeriodeType == PeriodeType.Monthly
&& x.Periode.Year == completionForecast.Year && x.Periode.Month >= startingMonthForecast
&& x.Value.HasValue).Sum(x => x.Value);
if (pastMonthsThisYear.HasValue || nextMonthThisYear.HasValue)
{
result.Actual = (pastMonthsThisYear + nextMonthThisYear).ToString();
}
}
else
{
var actual = DataContext.KpiAchievements.FirstOrDefault(x => x.Kpi.Id == kpiId
&& x.PeriodeType == PeriodeType.Monthly
&& x.Periode.Year == completionForecast.Year && x.Periode.Month == completionForecast.Month
&& x.Value.HasValue);
if (actual != null) result.Actual = actual.ToString();
}
}
return result;
}
private OutputResult BreakEventYear(KeyOutputConfiguration keyOutput, int scenarioId)
{
var currentYear = DateTime.Now.Year;
var currentMonth = DateTime.Now.Month;
var currentDate = DateTime.Now;
var result = new OutputResult();
var kpiIds = keyOutput.KpiIds.Split(',').Select(x => int.Parse(x)).ToList();
var kpiId = keyOutput.Kpis.First(x => x.Id == kpiIds[0]).Id;
var assumptionIds = keyOutput.KeyAssumptionIds.Split(',').Select(x => int.Parse(x)).ToList();
var startId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[0]).Id;
var endId = keyOutput.KeyAssumptions.First(x => x.Id == assumptionIds[1]).Id;
var startAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == startId);
var endAssumption = DataContext.KeyAssumptionDatas.FirstOrDefault(x => x.KeyAssumptionConfig.Id == endId);
var payback = Payback(keyOutput, scenarioId, false);
if (startAssumption == null || endAssumption == null)
{
return new OutputResult();
}
DateTime startForecast;
DateTime endForecast;
if (!string.IsNullOrEmpty(payback.Forecast) && IsStartAndEndValid(startAssumption.ForecastValue, endAssumption.ForecastValue, out startForecast, out endForecast))
{
var breakEventYear = startForecast.AddYears((int)Math.Floor(decimal.Parse(payback.Forecast)));
var month = Math.Round((decimal.Parse(payback.Forecast) - Math.Floor(decimal.Parse(payback.Forecast))) * 12, 0);
breakEventYear = breakEventYear.AddMonths((int)month);
result.Forecast = breakEventYear.ToString();
}
DateTime startActual;
DateTime endActual;
if (!string.IsNullOrEmpty(payback.Actual) && IsStartAndEndValid(startAssumption.ActualValue, endAssumption.ActualValue, out startActual, out endActual))
{
var breakEventYear = startActual.AddYears((int)Math.Floor(decimal.Parse(payback.Actual)));
var month = Math.Round((decimal.Parse(payback.Actual) - Math.Floor(decimal.Parse(payback.Actual))) * 12, 0);
breakEventYear = breakEventYear.AddMonths((int)month);
result.Actual = breakEventYear.ToString();
}
return result;
}