private RecordInstrument NewRecord()
{
var valueInstrument = new RecordInstrument()
{
Values = new Dictionary <string, string>()
};
foreach (var instrument in this.instruments)
{
valueInstrument.Values.Add(instrument.Key, null);
if (instrument.Key == "completed")
{
valueInstrument.Values["completed"] = CompletedDefaultValue;
}
}
return(valueInstrument);
}
static public string GetDatasetRecord(RecordInstrument record, List <SchemaInstrument> instruments, bool includeAllColumns, bool includePrediction)
{
var message = string.Empty;
var predictValues = new Dictionary <string, string>();
message += $"{record.Time},{record.TimeDiff}";
foreach (var value in record.Values)
{
var instrument = instruments.Find(x => x.Key.Equals(value.Key));
if (instrument != null && (((instrument.IsColumn || includeAllColumns) && !includePrediction) || (!instrument.IsSignal && includePrediction && instrument.IsColumn)))
{
message += (string.IsNullOrEmpty(message) ? "" : ",");
if (value.Value == null && !instrument.IsFuture)
{
message += string.Empty;
}
if (value.Value == null && instrument.IsFuture)
{
message += "-1";
}
else if (instrument.DataType == enmDataType.@double)
{
message += (IsNumeric(value.Value) ? $"{string.Format("{0:0.00}", double.Parse(value.Value))}" : "0.00");
}
else if (instrument.DataType == enmDataType.@double6)
{
message += (IsNumeric(value.Value) ? $"{string.Format("{0:0.000000}", double.Parse(value.Value))}" : "0.000000");
}
else if (instrument.DataType == enmDataType.@int)
{
message += (IsNumeric(value.Value) ? $"{string.Format("{0:0}", int.Parse(value.Value))}" : "0");
}
else if (instrument.DataType == enmDataType.@long)
{
message += (IsNumeric(value.Value) ? $"{string.Format("{0:0}", long.Parse(value.Value))}" : "0");
}
else if (instrument.DataType == enmDataType.@string)
{
message += $"\"{value.Value}\"";
}
if (IGClient.ML.CurrentMetric != null && includePrediction && IGClient.ML.CurrentMetric.Columns.Where(x => x.EndsWith(value.Key)).Count() > 0)
{
predictValues.Add(value.Key, value.Value);
}
}
}
if (includePrediction && predictValues.Count > 0 && !record.Values["completed"].Contains("X"))
{
var tempRecord = new RecordInstrument()
{
Time = record.Time, Values = predictValues
};
//var prediction = IGClient.ML.Predict(tempRecord);
//if (prediction != null) message += (string.IsNullOrEmpty(message) ? "" : ", ") + $"p={string.Format("{0:0.000}", prediction.Label)}";
}
return(message);
}
