/// <summary>
/// Генерация нечетких тенденций
/// </summary>
/// <param name="seriesId"></param>
public static void GenerateFuzzyTrends(int seriesId)
{
using (var _context = new DissertationDbContext())
using (var transaction = _context.Database.BeginTransaction())
{
try
{
foreach (FuzzyTrendLabel elem in Enum.GetValues(typeof(FuzzyTrendLabel)))
{
_context.FuzzyTrends.Add(ModelConvector.ToFuzzyTrend(new FuzzyTrendBindingModel
{
SeriesId = seriesId,
TrendName = elem,
Weight = Converter.ToFuzzyTrendLabelWeight(elem)
}));
_context.SaveChanges();
}
transaction.Commit();
}
catch (Exception)
{
transaction.Rollback();
throw;
}
}
}
private bool MakeTest(FileInfo file)
{
using (var _context = new DissertationDbContext())
{
try
{
var entity = ModelConvector.ToSeriesDescription(new SeriesDescriptionBindingModel
{
SeriesName = file.Name,
NeedForecast = true
});
_context.SeriesDescriptions.Add(entity);
_context.SaveChanges();
#region Временной ряд
var res = CreateFuzzyLabel(file.FullName, entity.Id);
if (!res)
{
return(false);
}
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} нечеткие метки получены", file.Name)
});
res = CreateFuzzyTrend(file.FullName, entity.Id);
if (!res)
{
return(false);
}
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} нечеткие тенденции получены", file.Name)
});
res = CreateRuleTrend(file.FullName, entity.Id);
if (!res)
{
return(false);
}
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} правила для тенденций получены", file.Name)
});
res = CreatePointTrend(file.FullName, entity.Id);
if (!res)
{
return(false);
}
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} точки для тенденций получены", file.Name)
});
res = GenerateSituationsByEntropy(file.FullName, entity.Id);
if (!res)
{
return(false);
}
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} ситуации по энтропии получены", file.Name)
});
res = GenerateSituationsByFuzzy(file.FullName, entity.Id);
if (!res)
{
return(false);
}
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} ситуации по нечеткости получены", file.Name)
});
#endregion
lock (runForecast)
{
_countPoints = 0;
_points = new List <PointInfo>();
var test = ModelConvector.ToDiagnosticTest(new DiagnosticTestBindingModel
{
TestNumber = "1",
FileName = file.FullName,
TypeFile = TypeFile.Текстовый,
DatasInFile = new List <TypeDataInFile> {
TypeDataInFile.ЧисловоеЗначение
},
SeriesDiscriptionId = entity.Id,
CountPointsForMemmory = 5
});
test.DateTest = DateTime.Now;
test.Count = 0;
_context.DiagnosticTests.Add(test);
_context.SaveChanges();
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} создали тест", file.Name)
});
var values = LoadFromTxt(file.FullName);
if (values != null && values.Count > 1)
{
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} загрузили данные", file.Name)
});
for (int i = 0; i < values.Count - 1; ++i)
{
AddNewPoint(new PointInfo
{
SeriesDiscriptionId = entity.Id,
DiagnosticTestId = test.Id,
Value = values[i]
}, entity.Id);
}
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} обработали данные", file.Name)
});
test.Count = _countPoints;
var lastPoint = _points[_points.Count - 1];
lastPoint.IsLast = true;
ClearPoint(lastPoint);
_context.PointInfos.Add(lastPoint);
_context.SaveChanges();
var preLastPoint = _points[_points.Count - 2];
ClearPoint(preLastPoint);
_context.PointInfos.Add(preLastPoint);
_context.SaveChanges();
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} сохранили последние точки", file.Name)
});
_context.SaveChanges();
var forecast = mdt.GetForecast(test.Id);
var forecasts = string.Join(";", mdt.GetForecastByPointTrend(test.Id));
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} получили прогноз", file.Name)
});
var realValue = values[values.Count - 1];
_context.ExperimentFileResults.Add(new ExperimentFileResult
{
DateExperiment = DateTime.Now,
Forecast = forecast,
ForecastsByPoint = forecasts,
RealValue = realValue,
FileName = file.Name
});
_context.SaveChanges();
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Info",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} сохранили прогноз", file.FullName)
});
_context.SaveChanges();
}
else
{
_context.SaveChanges();
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLogType = "Error",
MessageLogTitle = file.Name,
MessageLog = string.Format("{0} не получили точек", file.FullName)
});
_context.SaveChanges();
}
}
return(true);
}
catch (Exception ex)
{
_context.LogDatas.Add(new LogData
{
DateLog = DateTime.Now,
MessageLog = string.Format("MakeTest {0}: {1}", file.FullName, ex.Message),
MessageLogType = "Error"
});
_context.SaveChanges();
return(false);
}
}
}
