//
// GET: EnvironmentManagement/CleanlinessDataInput
public ActionResult Index()
{
var today = DateTime.Now.ToString("dd/MM/yyyy");
var model = new CleanlinessDataInputModel()
{
SearchCriteriaModel = new SearchCriteriaModel()
{
Location = "Line", StartDate = today, EndDate = today
},
DateDiameter1 = today.Remove(5),
DateDiameter2 = today.Remove(5),
};
ViewBag.ListLocation = EnumsHelper.GetListItemsWithDescription <Constants.EnvLine>();
return(View(model));
}
public ActionResult Print(double?[][] val1m05, double?[][] val1m5, double?[][] val5cm03, double?[][] val5cm05, double?[][] val5cm1, double?[][] val5cm5, string inputDate)
{
var dMean = 0.0;
var dSigma = 0.0;
var dCp = 0.0;
var conv1 = new Conv1();
conv1.Datas = new double?[2, 10];
conv1.Cp = new double[2];
conv1.Mean = new double[2];
conv1.Sigma = new double[2];
for (int i = 0; i < 10; i++)
{
conv1.Datas[0, i] = val1m05[0][i];
conv1.Datas[1, i] = val1m5[0][i];
}
for (int i = 1; i <= 2; i++)
{
_cleanlinessDataInputDomain.CalculaAll(i, ref dMean, ref dSigma, ref dCp, val1m05, val1m5, val5cm03,
val5cm05, val5cm1, val5cm5);
conv1.Cp[i - 1] = dCp;
conv1.Mean[i - 1] = dMean;
conv1.Sigma[i - 1] = dSigma;
}
var mega1 = new Mega1();
mega1.Datas = new double?[2, 10];
mega1.Cp = new double[2];
mega1.Mean = new double[2];
mega1.Sigma = new double[2];
for (int i = 0; i < 10; i++)
{
mega1.Datas[0, i] = val1m05[1][i];
mega1.Datas[1, i] = val1m5[1][i];
}
for (int i = 3; i <= 4; i++)
{
_cleanlinessDataInputDomain.CalculaAll(i, ref dMean, ref dSigma, ref dCp, val1m05, val1m5, val5cm03,
val5cm05, val5cm1, val5cm5);
mega1.Cp[i - 3] = dCp;
mega1.Mean[i - 3] = dMean;
mega1.Sigma[i - 3] = dSigma;
}
var conv2 = new Conv2();
conv2.Datas = new double?[4, 10];
conv2.Cp = new double[4];
conv2.Mean = new double[4];
conv2.Sigma = new double[4];
for (int i = 0; i < 10; i++)
{
conv2.Datas[0, i] = val5cm03[0][i];
conv2.Datas[1, i] = val5cm05[0][i];
conv2.Datas[2, i] = val5cm1[0][i];
conv2.Datas[3, i] = val5cm5[0][i];
}
for (int i = 5; i <= 8; i++)
{
_cleanlinessDataInputDomain.CalculaAll(i, ref dMean, ref dSigma, ref dCp, val1m05, val1m5, val5cm03,
val5cm05, val5cm1, val5cm5);
conv2.Cp[i - 5] = dCp;
conv2.Mean[i - 5] = dMean;
conv2.Sigma[i - 5] = dSigma;
}
var mega2 = new Mega2();
mega2.Datas = new double?[4, 10];
mega2.Cp = new double[4];
mega2.Mean = new double[4];
mega2.Sigma = new double[4];
for (int i = 0; i < 10; i++)
{
mega2.Datas[0, i] = val5cm03[1][i];
mega2.Datas[1, i] = val5cm05[1][i];
mega2.Datas[2, i] = val5cm1[1][i];
mega2.Datas[3, i] = val5cm5[1][i];
}
for (int i = 9; i <= 12; i++)
{
_cleanlinessDataInputDomain.CalculaAll(i, ref dMean, ref dSigma, ref dCp, val1m05, val1m5, val5cm03,
val5cm05, val5cm1, val5cm5);
mega2.Cp[i - 9] = dCp;
mega2.Mean[i - 9] = dMean;
mega2.Sigma[i - 9] = dSigma;
}
var model = new CleanlinessDataInputModel()
{
Company = WebConfigurationManager.AppSettings["CompanyName"],
DateReport = inputDate,
Conv1 = conv1,
Conv2 = conv2,
Mega1 = mega1,
Mega2 = mega2
};
// Find the template file.
// var view = PartialView("CleanlinessDataInput/_partialExportCleanlinessDataInput", model);
return(PartialView("CleanlinessDataInput/_partialExportCleanlinessDataInput", model));
}
