// GET: api/DemoTimeSeries
public IEnumerable <DemoTimeSeries> GetDemoTimeSeries()
{
var period = new Period(_starTime, _endTime);
var service = new TimeSeriesService();
var infos = GetTsInfos();
var timeSeries = service.GetTimeSeries(infos, period);
return(MapToDemoTimeSeries(timeSeries));
}
public void MoveBackwardByMonthShouldCorret2()
{
// Arrange
var generator = new TimeSeriesService();
var targetDate = new DateTime(2018, 01, 15);
var count = 12;
var includeTargetDate = true;
// Action
var series = generator.MoveBackwardByMonth(targetDate, count, includeTargetDate);
// Assertions
var list = series.ToList();
list.Count.Should().Be(count + 1);
for (int i = 0; i < list.Count - 1; i += 2)
{
list[i].AddMonths(-1).Ticks.Should().Be(list[i + 1].Ticks);
}
}
private static async Task RunAsync(string[] args)
{
if (args.Length < 1)
{
throw new InvalidDataException("Missing path to configuration file");
}
var configurationFilePath = new FileInfo(args[0]);
Logger.Info(CultureInfo.InvariantCulture, "Path to configuration file: {0}", configurationFilePath);
// read data needed for processing time series data
Logger.Info(CultureInfo.InvariantCulture, "Read configurations");
var reader = new DefaultConfigurationReader(new JsonConfigurationParser());
var configurations = await reader.ReadAsync(configurationFilePath).ConfigureAwait(false);
var timeSeriesReaderFactory = new TimeSeriesReaderFactory();
var meteoReader = new MeteoXmlReader();
var excelWriter = new EppExcelWriter();
var fileService = new FileService();
var timeSeriesService = new TimeSeriesService(timeSeriesReaderFactory, meteoReader, excelWriter, fileService);
// read and write time series data
Logger.Info(CultureInfo.InvariantCulture, "Read meteo data from sources");
var meteoSeries = await timeSeriesService.ReadAsync(configurations.MeteoConfigs, CancellationToken.None).ConfigureAwait(false);
Logger.Info(CultureInfo.InvariantCulture, "Read energy data from sources");
var energySeries = await timeSeriesService.ReadAsync(configurations.EnergyConfigs, CancellationToken.None).ConfigureAwait(false);
var summary = meteoSeries.Concat(energySeries);
// write time series data to target excel files
Logger.Info(CultureInfo.InvariantCulture, "Write data to target files");
await timeSeriesService.WriteAsync(summary, configurations.SummaryConfigs, CancellationToken.None).ConfigureAwait(false);
Logger.Info(CultureInfo.InvariantCulture, "Successfully Finished");
}
private void BindForecast()
{
//BindGrids();
int predictCount = Convert.ToInt32(txtPredictCount.Text);
int p = Convert.ToInt32(txtp.Text);
int q = Convert.ToInt32(txtq.Text);
int s = Convert.ToInt32(txts.Text);
int d = Convert.ToInt32(txtd.Text);
int forcastStep = 4;
var forecastType = ((Enums.ForecastsType)Convert.ToInt32(drpForecatsType.SelectedValue)).ToString();
CultureInfo persianCultureInfo = new CultureInfo("en-US");
var values = new Dictionary <string, List <string> >
{
{ "Date", Categories },
{ "riders", ActualActivityTrend.Select(x => x.Value.ToString()).ToList() }
};
ForecastModel model = new ForecastModel
{
Data = values,
PredictCount = predictCount,
ForcastStep = forcastStep,
p = p,
q = q,
d = d,
s = s,
type = forecastType
};
var timeSeriseSrv = TimeSeriesService.Instance();
var serviceResult = timeSeriseSrv.GetTimeSeriesForcastResult(model);
if (!serviceResult.IsSuccessful)
{
lbMessage.Text = serviceResult.Message;
return;
}
var prgressResult = (TimeSeriDto)serviceResult.Data;
if (string.IsNullOrEmpty(prgressResult.Exception) == false)
{
lbMessage.Text =
"مقادیر لگهای انتخاب شده متناسب با اعداد دوره های عملکرد نمی باشد!" +
"<br />" +
prgressResult.Exception;
return;
}
if (prgressResult.Forecast is null || prgressResult.Forecast.Count == 0)
{
lbMessage.Text = "با مقادیر ارسال شده ، سیستم قادر به انجام عملیات پیش بینی نمی باشد!";
return;
}
var forecastResult = prgressResult.Forecast;
var predictResult = prgressResult.PredictResult;
//ChartModel cmActivity = new ChartModel() { ChartType = ChartTypes.Line, Data = chartData };
List <ChartData> cmPrePredicat = predictResult.Select(x => new ChartData()
{
IntervalDate = x.Key.ToString(),
Value = x.Value
}).ToList();
List <ChartData> cdPredicate = new List <ChartData>();
foreach (var item in Categories)
{
double?val = null;
if (cmPrePredicat.Any(x => x.IntervalDate == item))
{
val = cmPrePredicat.Single(x => x.IntervalDate == item).Value;
}
cdPredicate.Add(new ChartData(item, val));
}
//ChartModel cmPredicat = new ChartModel() { ChartType = ChartTypes.Line, Data = cdPredicate };
List <ChartData> cdForcast = new List <ChartData>();
var joinerPoint = Categories.Last();
var joinerTrendPoint = ActualActivityTrend.Last();
cdForcast.AddRange(Categories.Select(x => new ChartData(x, null)).ToList());
var checkExists = cdForcast.SingleOrDefault(x => x.IntervalDate == joinerPoint);
if (checkExists != null)
{
cdForcast.Remove(checkExists);
}
cdForcast.Add(new ChartData(joinerPoint, joinerTrendPoint));
for (int i = 0; i < forcastStep; i++)
{
int forcastIndex = Convert.ToInt32(joinerPoint) + i + 1;
cdForcast.Add(new ChartData(forcastIndex.ToString(), forecastResult.ElementAt(i).Value));
}
//UcIndicatorView.Visible = true;
//ChartModel cmForecast = new ChartModel() { ChartType = ChartTypes.Line, Data = cdForcast };
var chartModelforcast = new HighChartViewModel(Categories);
chartModelforcast.HighChartDataItems.Add(new HighChartDataItems("عملکرد", "#2962ff", ActualActivityTrend));
chartModelforcast.HighChartDataItems.Add(new HighChartDataItems("تطبیق", "#d7ccc8", cdPredicate.Select(x => x.Value).ToList()));
chartModelforcast.HighChartDataItems.Add(new HighChartDataItems("پیش بینی", "#ab47bc", cdForcast.Select(x => x.Value).ToList()));
UCSplineForcast.ChartId = "chartModelforcast";
UCSplineForcast.vmHighChartModel = chartModelforcast;
BindActivityCharts();
//var forecastsData =
// (from x in cdForcast
// let activity = AiFChartData.SingleOrDefault(y => y.IntervalDate == x.IntervalDate)
// where
// x.IntervalDate != joinerPoint.IntervalDate && x.Value.HasValue
// orderby x.IntervalDate
// let percent = (activity?.Value.HasValue == true) ? ((x.Value - activity.Value.Value) / ((activity.Value.Value + x.Value) / 2)) * 100 : 0
// select new
// {
// IntervalDate = x.IntervalDate,
// Value = x.Value,
// ActivityValue = activity?.Value,
// Diff =
// activity?.Value.HasValue == true ?
// percent.Value.ToString("N2") : "",
// Increase = (activity?.Value.HasValue == true) &&
// ((x.Value < activity.Value.Value && Math.Abs(percent.Value) <= 5) || (x.Value >= activity.Value.Value))
// ? true : false,
// Decrease = (activity?.Value.HasValue == true) &&
// (x.Value < activity.Value.Value && (Math.Abs(percent.Value)) > 5) ? true : false
// }
// ).ToList();
////cdForcast.Where(x => x.IntervalDate != joinerPoint.IntervalDate && x.Value.HasValue).OrderBy(x => x.IntervalDate).ToList();
//var statisticDataSource = new List<TimeSeriDto>();
//statisticDataSource.Add(new TimeSeriDto
//{
// aic = prgressResult.aic,
// hqic = prgressResult.hqic,
// Exception = string.Empty,
// Forecast = null,
// PredictResult = null
//});
//lvStatistics.DataSource = statisticDataSource;
//lvStatistics.DataBind();
//lvStatistics.Visible = true;
//lvForecast.DataSource = forecastsData;
//lvForecast.DataBind();
//lvForecast.Visible = true;
//UcChartBefore.SetChart(IndicatorTitle, chartModelFirst, new Dictionary<string, string>() { { "جزئیات", "$('.tables2').html($('#pnl3').html()); $('#mainContainer2').dialog('open');" } });
//UcIndicatorView.SetChart(IndicatorTitle, chartModelSecond, new Dictionary<string, string>() { { "جزئیات", "$('.tables1').html($('#pnl2').html()); $('#mainContainer').dialog('open');" } });
}
public void GetTimeSeriseDate(List <string> categories, List <double?> actualActivityTrend)
{
CultureInfo persianCultureInfo = new CultureInfo("en-US");
var values = new Dictionary <string, List <string> >
{
{ "Date", categories },
{ "riders", actualActivityTrend.Select(x => x.Value.ToString()).ToList() }
};
ForecastModel model = new ForecastModel
{
Data = values,
PredictCount = 0,
ForcastStep = 0,
p = 0,
q = 0,
d = 0,
s = 0
};
var timeSeriesSrv = TimeSeriesService.Instance();
var fs = timeSeriesSrv.GetChart <ForecastModel>(model);
imgPacf.Visible = !string.IsNullOrEmpty(fs);
imgPacf.ImageUrl = String.Format(@"data:image/jpeg;base64,{0}", fs);
var serviceResult = timeSeriesSrv.GetTimeSeriesDecomposeResult(model);
if (!serviceResult.IsSuccessful)
{
lbMessage.Text = serviceResult.Message;
return;
}
var composedResult = (TimeSeriesDecomposeModel)serviceResult.Data;
if (composedResult == null)
{
lbMessage.Text = "مقادیر لگهای انتخاب شده متناسب با اعداد دوره های عملکرد نمی باشد!";
//UcChartBefore.Visible = UcIndicatorView.Visible = false;
return;
}
if (string.IsNullOrEmpty(composedResult.Exception) == false)
{
lbMessage.Text =
"مقادیر لگهای انتخاب شده متناسب با اعداد دوره های عملکرد نمی باشد!" +
"<br />" +
composedResult.Exception;
//UcChartBefore.Visible = UcIndicatorView.Visible = false;
return;
}
ResidComposed = new List <ChartData>();
ResidComposed.AddRange(categories.Select(x => new ChartData(x, null)).ToList());
for (int i = 0; i < composedResult.Resid.Count; i++)
{
ResidComposed[i].Value = composedResult.Resid[i] == null ? new Nullable <double>() : composedResult.Resid[i].Value;
}
TrendComposed = new List <ChartData>();
TrendComposed.AddRange(categories.Select(x => new ChartData(x, null)).ToList());
for (int i = 0; i < composedResult.Trend.Count; i++)
{
TrendComposed[i].Value = composedResult.Trend[i] == null ? new Nullable <double>() : composedResult.Trend[i].Value;
}
SeasonalComposed = new List <ChartData>();
SeasonalComposed.AddRange(categories.Select(x => new ChartData(x, null)).ToList());
for (int i = 0; i < composedResult.Seasonal.Count; i++)
{
SeasonalComposed[i].Value = composedResult.Seasonal[i] == null ? new Nullable <double>() : composedResult.Seasonal[i].Value;
}
}
