//
// GET: /EnvironmentManagement/CreepingAndRollSpeedDataOneDay/
public ActionResult Index(string environmentDate = "", Constants.EnvMode envMode = Constants.EnvMode.ControlLine, string machine = "")
{
DateTime dt1;
var ListName = new List <SelectListItem>();
ListName.Add(new SelectListItem
{
Text = "12 Inch Mixing Roll Machine",
Selected = machine.Equals("Roll_MC_12"),
Value = "Roll_MC_12"
});
ListName.Add(new SelectListItem
{
Text = "18 Inch Mixing Roll Machine",
Selected = machine.Equals("Roll_MC_18"),
Value = "Roll_MC_18"
});
ViewBag.ListName = ListName;
if (DateTime.TryParseExact(environmentDate, "dd/MM/yyyy", CultureInfo.InvariantCulture, DateTimeStyles.None, out dt1))
{
var model = new CreepingAndRollSpeedDataOneDayViewModel()
{
EnvironmentDate = dt1.ToString("dd/MM/yyyy"),
EnvMode = envMode
};
return(View(model));
}
else
{
var model = new CreepingAndRollSpeedDataOneDayViewModel()
{
EnvironmentDate = DateTime.Now.ToString("dd/MM/yyyy"),
EnvMode = envMode
};
return(View(model));
}
}
public ActionResult Search(CreepingAndRollSpeedDataOneDayViewModel model)
{
var dt1 = DateTime.ParseExact(model.EnvironmentDate, "dd/MM/yyyy", CultureInfo.InvariantCulture);
var dt2 = dt1.AddDays(1);
if (dt1 > DateTime.Now)
{
return(Json(new
{
Success = false,
ErrorCode = -2,//Reset graph and all fields in the form
Message = "This date cannot bigger than current date"
}, JsonRequestBehavior.AllowGet));
}
string left_high = string.Empty;
string left_low = string.Empty;
string left_range = string.Empty;
string left_mean = string.Empty;
string left_sigma = string.Empty;
string left_yAxis = string.Empty;
string left_fld_data = string.Empty;
string left_fld_mean = string.Empty;
string left_fld_upper = string.Empty;
string left_fld_lower = string.Empty;
string right_high = string.Empty;
string right_low = string.Empty;
string right_range = string.Empty;
string right_mean = string.Empty;
string right_sigma = string.Empty;
string right_yAxis = string.Empty;
string right_fld_data = string.Empty;
string right_fld_mean = string.Empty;
string right_fld_upper = string.Empty;
string right_fld_lower = string.Empty;
string spd_high = string.Empty;
string spd_low = string.Empty;
string spd_range = string.Empty;
string spd_mean = string.Empty;
string spd_sigma = string.Empty;
string spd_yAxis = string.Empty;
string spd_fld_data = string.Empty;
string spd_fld_mean = string.Empty;
string spd_fld_upper = string.Empty;
string spd_fld_lower = string.Empty;
if (ModelState.IsValid)
{
for (int i = 1; i <= 3; i++)
{
var id = 6;
if (model.Machine.Equals("Roll_MC_18") && (i != 3))
{
id = i;
}
else if (model.Machine.Equals("Roll_MC_12") && (i != 3))
{
id = i + 2;
}
else if (model.Machine.Equals("Roll_MC_18") && (i == 3))
{
id = 5;
}
var envMespData = _environmentBaseDomain.GetMespVal(Constants.EnvType.TYPE_RS, id,
model.EnvMode);
if (!envMespData.Item1)
{
return(Json(new
{
Success = false,
ErrorCode = -1, //Reset graph and all fields in the form
Message = envMespData.Item2
}, JsonRequestBehavior.AllowGet));
}
var data = new List <Graphtbl>();
double t_ucl;
double t_lcl;
double t_usl;
double t_lsl;
double t_dis_up;
double h_dis_up;
double t_dis_lo;
double h_dis_lo;
double h_ucl;
double h_lcl;
double h_usl;
double h_lsl;
double t_cal_up;
double t_cal_lo;
double h_cal_up;
double h_cal_lo;
double rl_upper;
double rl_lower;
double rl_max;
double rl_min;
_environmentBaseDomain.SetValueConfigFromTe80(envMespData.Item3, out t_ucl, out t_lcl, out t_usl,
out t_lsl, out t_dis_up, out h_dis_up,
out t_dis_lo, out h_dis_lo, out h_ucl, out h_lcl, out h_usl, out h_lsl, out t_cal_up,
out t_cal_lo, out h_cal_up, out h_cal_lo);
var totalRecord = 0;
var calcData = _environmentBaseDomain.CalcData(Constants.EnvType.TYPE_RS, id, null, dt1,
Constants.TypeOfTable.CALC_TE83, 1,
model.EnvMode, t_ucl, t_lcl, t_usl, t_lsl, t_dis_up, h_dis_up, t_dis_lo, h_dis_lo, h_ucl, h_lcl,
h_usl,
h_lsl, t_cal_up, t_cal_lo, h_cal_up, h_cal_lo, true, data);
if (!calcData)
{
return(Json(new
{
Success = false,
ErrorCode = 0, //Nothing to do
}, JsonRequestBehavior.AllowGet));
}
var tcalcMean = _environmentBaseDomain.CalcMean(Constants.TypeOfTable.CALC_BUFFER,
Constants.TypeOfTable.CALC_TE83, id, dt1, dt2,
t_cal_up, t_cal_lo, h_cal_up, h_cal_lo, data);
if (tcalcMean.Item1)
{
_environmentBaseDomain.UpdateBuffer(Constants.EnvActionBuffer.UPDATE_DB,
Constants.TypeOfTable.CALC_TE83, dt1, tcalcMean.Item2, Constants.EnvFieldNo.FLD_MEAN,
data);
}
else
{
return(Json(new
{
Success = false,
ErrorCode = 0, //Nothing to do
Message = tcalcMean.Item2
}, JsonRequestBehavior.AllowGet));
}
var tsigma = _environmentBaseDomain.CalcSigma(Constants.TypeOfTable.CALC_BUFFER,
Constants.TypeOfTable.CALC_TE83, id, dt1, dt2, t_cal_up, t_cal_lo, h_cal_up, h_cal_lo, data);
rl_max = _environmentBaseDomain.GetMax(Constants.EnvType.TYPE_RS, Constants.TypeOfTable.CALC_BUFFER,
Constants.TypeOfTable.CALC_TE83, id, dt1, dt2, t_dis_up, h_dis_up, data);
rl_min = _environmentBaseDomain.GetMin(Constants.EnvType.TYPE_RS, Constants.TypeOfTable.CALC_BUFFER,
Constants.TypeOfTable.CALC_TE83, id, dt1, dt2, t_dis_lo, h_dis_lo, data);
if (model.EnvMode == Constants.EnvMode.ControlLine)
{
rl_upper = t_ucl;
rl_lower = t_lcl;
}
else
{
rl_upper = t_usl;
rl_lower = t_lsl;
}
_environmentBaseDomain.UpdateBuffer(Constants.EnvActionBuffer.UPDATE_DB,
Constants.TypeOfTable.CALC_TE83, dt1, rl_upper, Constants.EnvFieldNo.FLD_UPPER, data);
_environmentBaseDomain.UpdateBuffer(Constants.EnvActionBuffer.UPDATE_DB,
Constants.TypeOfTable.CALC_TE83, dt1, rl_lower, Constants.EnvFieldNo.FLD_LOWER, data);
var flds = _environmentBaseDomain.GrapData(Constants.TypeOfTable.CALC_TE83, data);
switch (id)
{
case 1:
case 3:
left_high = rl_max.ToString("F");
left_low = rl_min.ToString("F");
left_range = (rl_max - rl_min).ToString("F");
left_mean = tcalcMean.Item2.ToString("F");
left_sigma = tsigma.Item2.ToString("F");
left_yAxis = JsonConvert.SerializeObject(flds.Item5);
left_fld_data = JsonConvert.SerializeObject(flds.Item1);
left_fld_mean = JsonConvert.SerializeObject(flds.Item2);
left_fld_upper = JsonConvert.SerializeObject(flds.Item3);
left_fld_lower = JsonConvert.SerializeObject(flds.Item4);
break;
case 2:
case 4:
right_high = rl_max.ToString("F");
right_low = rl_min.ToString("F");
right_range = (rl_max - rl_min).ToString("F");
right_mean = tcalcMean.Item2.ToString("F");
right_sigma = tsigma.Item2.ToString("F");
right_yAxis = JsonConvert.SerializeObject(flds.Item5);
right_fld_data = JsonConvert.SerializeObject(flds.Item1);
right_fld_mean = JsonConvert.SerializeObject(flds.Item2);
right_fld_upper = JsonConvert.SerializeObject(flds.Item3);
right_fld_lower = JsonConvert.SerializeObject(flds.Item4);
break;
case 5:
case 6:
spd_high = rl_max.ToString("F");
spd_low = rl_min.ToString("F");
spd_range = (rl_max - rl_min).ToString("F");
spd_mean = tcalcMean.Item2.ToString("F");
spd_sigma = tsigma.Item2.ToString("F");
spd_yAxis = JsonConvert.SerializeObject(flds.Item5);
spd_fld_data = JsonConvert.SerializeObject(flds.Item1);
spd_fld_mean = JsonConvert.SerializeObject(flds.Item2);
spd_fld_upper = JsonConvert.SerializeObject(flds.Item3);
spd_fld_lower = JsonConvert.SerializeObject(flds.Item4);
break;
}
}
}
return(Json(new
{
Success = true,
left_high = left_high,
left_low = left_low,
left_range = left_range,
left_mean = left_mean,
left_sigma = left_sigma,
left_yAxis = left_yAxis,
left_fld_data = left_fld_data,
left_fld_mean = left_fld_mean,
left_fld_lower = left_fld_lower,
left_fld_upper = left_fld_upper,
right_high = right_high,
right_low = right_low,
right_range = right_range,
right_mean = right_mean,
right_sigma = right_sigma,
right_yAxis = right_yAxis,
right_fld_data = right_fld_data,
right_fld_mean = right_fld_mean,
right_fld_lower = right_fld_lower,
right_fld_upper = right_fld_upper,
spd_high = spd_high,
spd_low = spd_low,
spd_range = spd_range,
spd_mean = spd_mean,
spd_sigma = spd_sigma,
spd_yAxis = spd_yAxis,
spd_fld_data = spd_fld_data,
spd_fld_mean = spd_fld_mean,
spd_fld_lower = spd_fld_lower,
spd_fld_upper = spd_fld_upper,
}, JsonRequestBehavior.AllowGet));
}
