public ActionResult Index(DateTime begin, DateTime end, int method, int depth, List <double> productSamples,
List <double> employeeSamples)
{
IEnumerable <ProductDTO> productsDTO = forecastService.GetProducts();
var mapper = new MapperConfiguration(config => config.CreateMap <ProductDTO, ProductViewModel>()).CreateMapper();
var products = mapper.Map <IEnumerable <ProductDTO>, List <ProductViewModel> >(productsDTO);
double[,] resultProductSamples = new double[products.Count(), end.Year - begin.Year + 1];
double[,] resultEmployeeSamples = new double[products.Count(), end.Year - begin.Year + 1];
double[,] resultPerfomanceSamples = new double[products.Count(), end.Year - begin.Year + 1];
int counter = 0;
for (int i = 0; i < products.Count(); i++)
{
for (int j = 0; j < end.Year - begin.Year + 1; j++)
{
resultProductSamples[i, j] = productSamples[counter];
resultEmployeeSamples[i, j] = employeeSamples[counter];
resultPerfomanceSamples[i, j] = productSamples[counter] / employeeSamples[counter];
counter++;
}
}
IUnitOfWork connection = new EFUnitOfWork("Data Source = (LocalDB)\\MSSQLLocalDB; " +
"AttachDbFilename = '|DataDirectory|\\mtaInfo.mdf'; Integrated Security = True");
if (method == 2)
{
forecastService = new MovingAverageForecasstService(connection);
}
if (method == 3)
{
forecastService = new ExponentialSmoothingForecastService(connection);
}
Forecast[] productForecast = forecastService.Forecasting(begin, end, depth, resultProductSamples);
Forecast[] perfomanceForecast = forecastService.Forecasting(begin, end, depth, resultPerfomanceSamples);
double[] employeeForecast = new double[productForecast.Length];
for (int i = 0; i < employeeForecast.Length; i++)
{
if (perfomanceForecast[i].forecast == 0)
{
double min = 1;
for (int j = 0; j < perfomanceForecast.Length; j++)
{
if (perfomanceForecast[j].forecast == perfomanceForecast[i].forecast)
{
continue;
}
if (perfomanceForecast[j].forecast < min)
{
min = perfomanceForecast[j].forecast;
}
}
perfomanceForecast[i].forecast = min;
}
else
{
employeeForecast[i] = productForecast[i].forecast / perfomanceForecast[i].forecast;
}
}
double[] deficit = new double[products.Count()];
for (int i = 0; i < deficit.Length; i++)
{
deficit[i] = employeeForecast[i] - resultEmployeeSamples[i, end.Year - begin.Year];
}
ViewBag.productForecast = productForecast;
ViewBag.employeeForecast = employeeForecast;
ViewBag.perfomanceForecast = perfomanceForecast;
ViewBag.resultProductSamples = resultProductSamples;
ViewBag.resultPerfomanceSamples = resultPerfomanceSamples;
ViewBag.resultEmployeeSamples = resultEmployeeSamples;
ViewBag.deficit = deficit;
ViewBag.begin = begin;
ViewBag.end = end;
return(View("~/Views/Home/Forecast.cshtml", products));
}
