public void PredictionZeroTest()
{
//arrange
double[] record = { 100, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0 };
Algorithum a = new Algorithum(record, 3);
//act
double e = a.Prediction(1);
//assert
Assert.Zero(e, "The event is lower than expected");
}
public void SeasonalAdjustment()
{
//arrange
//double[] record = { 72, 110, 117, 172, 76, 112, 130, 194, 78, 119, 128, 201 };
double[] data = { 72, 110, 117, 172, 76, 112, 130, 194, 78 };
Algorithum a = new Algorithum(data, 3);
//act
double e = a.Prediction(1);
//assert
Assert.GreaterOrEqual(e, 136, "The event is lower than expected");
Assert.LessOrEqual(e, 140, "The event is greater than expected");
}
public void DecimalTest()
{
//arrange
double[] record = { 72, 110, 117, 172, 76, 112, 130, 194, 78, 119, 128, 201 };
Algorithum a = new Algorithum(record, 3);
//act
double e = a.Prediction(1);
string[] res = e.ToString().Split('.');
int precision = res[1].Length;
//assert
Assert.IsTrue(precision == 3, "The precision is not to 3 decimal places");
}
//protected void btnDownload_Click(object sender, EventArgs e)
//{
// Response.Redirect("PathToHttpHandler/DownloadFile.ashx");
//}
// GET: Report/Prediction?q=m|w
public ActionResult Prediction(Guid?ProductID, int?Type)
{
PredictionChartViewModel chart = new PredictionChartViewModel();
DateTime beginRange;
if (ProductID == null || Type == null)
{
return(View(chart));
}
if (Type == (int)PredictType.MONTHLY && ProductID != null)
{
using (var ctx = new SalesDbContext())
{
chart.Name = "Monthly Sales Report";
chart.ProductID = (Guid)ProductID;
chart.Product = ctx.Products.Where(x => x.ID == ProductID).FirstOrDefault();
chart.Type = PredictType.MONTHLY;
chart.Start = DateTime.Today.AddDays(-DateTime.Now.DayOfYear + 1);
chart.End = chart.Start.AddYears(+2).AddDays(-1);
beginRange = DateTime.Today.AddDays(-DateTime.Now.DayOfYear + 1);
var sales = ctx.Sales.Where(x => x.Product.ID == ProductID)
.Where(x => x.Transaction.SaleTime >= beginRange)
.ToList();
List <double> list = new List <double>();
DateTime check = beginRange;
do
{
list.Add((double)sales
.Where(x => x.Transaction.SaleTime.Date >= check)
.Where(x => x.Transaction.SaleTime.Date < check.AddMonths(1))
.Sum(i => i.QTY));
check = check.AddMonths(1);
} while (check <= chart.End);
Algorithum algorithum = new Algorithum(list.ToArray(), 3);
check = chart.Start;
int PredictCount = 0;
do
{
if (check <= DateTime.Today)
{
chart.CurrentCycle.Add(check.Date, new PredictModel()
{
Value = (double)sales.Where(x => x.Transaction.SaleTime.Date >= check)
.Where(x => x.Transaction.SaleTime.Date < check.AddMonths(1))
.Sum(i => i.QTY),
IsPredict = false
});
}
else if (check < chart.Start.AddYears(1))
{
chart.CurrentCycle.Add(check, new PredictModel()
{
Value = algorithum.Prediction(++PredictCount),
IsPredict = true
});
}
else
{
chart.NextCycle.Add(check, new PredictModel()
{
Value = algorithum.Prediction(++PredictCount),
IsPredict = true
});
}
check = check.AddMonths(1);
} while (check < chart.Start.AddYears(2));
}
}
else
{
using (var ctx = new SalesDbContext())
{
chart.Name = "Weekly Sales Report";
chart.ProductID = (Guid)ProductID;
chart.Product = ctx.Products.Where(x => x.ID == ProductID).FirstOrDefault();
chart.Type = PredictType.WEEKLY;
chart.Start = DateTime.Today.AddDays(-(int)DateTime.Now.DayOfWeek);
chart.End = chart.Start.AddDays(14);
beginRange = DateTime.Today.AddDays((double)(DateTime.Now.DayOfWeek - 35));
var sales = ctx.Sales.Where(x => x.Product.ID == ProductID)
.Where(x => x.Transaction.SaleTime >= beginRange)
.ToList();
List <double> list = new List <double>();
DateTime check = beginRange;
do
{
list.Add((double)sales.Where(x => x.Transaction.SaleTime.Date == check).Sum(i => i.QTY));
check = check.AddDays(1);
} while (check <= chart.End);
Algorithum algorithum = new Algorithum(list.ToArray(), 7);
check = chart.Start;
int PredictCount = 0;
do
{
if (check <= DateTime.Today)
{
chart.CurrentCycle.Add(check.Date, new PredictModel()
{
Value = (double)sales.Where(x => x.Transaction.SaleTime.Date == check).Sum(i => i.QTY),
IsPredict = false
});
}
else if (check < chart.Start.Date.AddDays(7))
{
chart.CurrentCycle.Add(check, new PredictModel()
{
Value = algorithum.Prediction(++PredictCount),
IsPredict = true
});
}
else
{
chart.NextCycle.Add(check, new PredictModel()
{
Value = algorithum.Prediction(++PredictCount),
IsPredict = true
});
}
check = check.AddDays(1);
} while (check < chart.Start.AddDays(14));
}
}
return(View(chart));
}
