/// <summary>
/// Forecast Plot
/// </summary>
/// <returns>Returns the view</returns>
public JsonResult ForecastPlot(long USGSID)
{
try
{
ForecastData Fd = new ForecastData();
Fd = this.conductivityService.GetForecastdata(USGSID);
return Json(Fd, JsonRequestBehavior.AllowGet);
}
catch
{
throw;
}
}
/// <summary>
/// Gets Forecast data
/// </summary>
/// <param name="usgsId">USGSID parameter</param>
/// <returns>Returns forecast data</returns>
public ForecastData GetForecastdata(long usgsId)
{
try
{
ForecastData Fd = new ForecastData();
var AllData = modifiedwaterdataRepository.GetAll();
var data = (from r in AllData where r.sourceID == usgsId select r).ToList();
DateTime currentDate = DateTime.Now;
DateTime firstDate = data.Count > 0 ? DateTime.Parse(data[0].measurment_date, new System.Globalization.CultureInfo("en-US", true)) : new DateTime();
var numberOfYears = Convert.ToInt32(currentDate.Year) - Convert.ToInt32(firstDate.Year);
DateTime forcastEndDate = currentDate.AddDays(182);
DateTime forcastStartDate = currentDate;
TimeSpan interval = data.Count > 0 ? (DateTime.Parse(data[2].measurment_date, new System.Globalization.CultureInfo("en-US", true)) - DateTime.Parse(data[1].measurment_date, new System.Globalization.CultureInfo("en-US", true))) : new TimeSpan();
Dictionary<DateTime, int>[] forcastRawData = new Dictionary<DateTime, int>[numberOfYears];
Dictionary<DateTime, double> forcastDataAverage = new Dictionary<DateTime, double>();
Dictionary<DateTime, int> forcastDataMax = new Dictionary<DateTime, int>();
for (int i = 1; i <= numberOfYears; i++)
{
var dateTime = forcastStartDate;
forcastRawData[i - 1] = new Dictionary<DateTime, int>();
foreach (var element in data)
{
var conductivity = element.cond;
TimeSpan span = TimeSpan.Zero;
if ((DateTime.Parse(element.measurment_date, new System.Globalization.CultureInfo("en-US", true)) >= forcastStartDate.AddYears(-1 * i)) && (DateTime.Parse(element.measurment_date, new System.Globalization.CultureInfo("en-US", true)) <= forcastEndDate.AddYears(-1 * i)))
{
forcastRawData[i - 1].Add(dateTime, Convert.ToInt32(conductivity));
span = span + interval;
dateTime = dateTime.Add(span);
}
}
if (i == numberOfYears)
{
forcastDataAverage = forcastRawData.SelectMany(d => d).GroupBy(kvp => kvp.Key).ToDictionary(g => g.Key, g => g.Average(kvp => kvp.Value));
forcastDataMax = forcastRawData.SelectMany(d => d).GroupBy(kvp => kvp.Key).ToDictionary(g => g.Key, g => g.Max(kvp => kvp.Value));
}
}
foreach (var entry in forcastDataAverage)
{
Fd.AverageForecastData.Add(new water_data() { measurment_date = entry.Key.ToString(), cond = Convert.ToInt32(entry.Value) });
}
foreach (var entry in forcastDataMax)
{
Fd.MaximumForecastData.Add(new water_data() { measurment_date = entry.Key.ToString(), cond = Convert.ToInt32(entry.Value) });
}
return Fd;
}
catch
{
throw;
}
}