private static void TestSensorDataStringValues(SensorDataEntity expected, SensorData actual, SensorType sensorType) { switch (sensorType) { case SensorType.BooleanSensor: BoolSensorData boolData = JsonSerializer.Deserialize <BoolSensorData>(expected.TypedData); Assert.Equal(SensorDataStringValuesFactory.GetSimpleSensorsString(expected.TimeCollected, boolData.Comment, boolData.BoolValue), actual.StringValue); Assert.Equal(boolData.BoolValue.ToString(), actual.ShortStringValue); break; case SensorType.IntSensor: IntSensorData intData = JsonSerializer.Deserialize <IntSensorData>(expected.TypedData); Assert.Equal(SensorDataStringValuesFactory.GetSimpleSensorsString(expected.TimeCollected, intData.Comment, intData.IntValue), actual.StringValue); Assert.Equal(intData.IntValue.ToString(), actual.ShortStringValue); break; case SensorType.DoubleSensor: DoubleSensorData doubleData = JsonSerializer.Deserialize <DoubleSensorData>(expected.TypedData); Assert.Equal(SensorDataStringValuesFactory.GetSimpleSensorsString(expected.TimeCollected, doubleData.Comment, doubleData.DoubleValue), actual.StringValue); Assert.Equal(doubleData.DoubleValue.ToString(), actual.ShortStringValue); break; case SensorType.StringSensor: StringSensorData stringData = JsonSerializer.Deserialize <StringSensorData>(expected.TypedData); Assert.Equal(SensorDataStringValuesFactory.GetSimpleSensorsString(expected.TimeCollected, stringData.Comment, stringData.StringValue), actual.StringValue); Assert.Equal(stringData.StringValue, actual.ShortStringValue); break; case SensorType.IntegerBarSensor: IntBarSensorData intBarData = JsonSerializer.Deserialize <IntBarSensorData>(expected.TypedData); Assert.Equal(SensorDataStringValuesFactory.GetBarSensorsString(expected.TimeCollected, intBarData.Comment, intBarData.Min, intBarData.Mean, intBarData.Max, intBarData.Count, intBarData.LastValue), actual.StringValue); Assert.Equal(SensorDataStringValuesFactory.GetBarSensorsShortString(intBarData.Min, intBarData.Mean, intBarData.Max, intBarData.Count, intBarData.LastValue), actual.ShortStringValue); break; case SensorType.DoubleBarSensor: DoubleBarSensorData doubleBarData = JsonSerializer.Deserialize <DoubleBarSensorData>(expected.TypedData); Assert.Equal(SensorDataStringValuesFactory.GetBarSensorsString(expected.TimeCollected, doubleBarData.Comment, doubleBarData.Min, doubleBarData.Mean, doubleBarData.Max, doubleBarData.Count, doubleBarData.LastValue), actual.StringValue); Assert.Equal(SensorDataStringValuesFactory.GetBarSensorsShortString(doubleBarData.Min, doubleBarData.Mean, doubleBarData.Max, doubleBarData.Count, doubleBarData.LastValue), actual.ShortStringValue); break; case SensorType.FileSensorBytes: FileSensorBytesData fileSensorBytesData = JsonSerializer.Deserialize <FileSensorBytesData>(expected.TypedData); Assert.Equal(SensorDataStringValuesFactory.GetFileSensorsString(expected.TimeCollected, fileSensorBytesData.Comment, fileSensorBytesData.FileName, fileSensorBytesData.Extension, fileSensorBytesData.FileContent.Length), actual.StringValue); Assert.Equal(SensorDataStringValuesFactory.GetFileSensorsShortString(fileSensorBytesData.FileName, fileSensorBytesData.Extension, fileSensorBytesData.FileContent.Length), actual.ShortStringValue); break; } }
private SensorHistoryData Convert(DoubleBarSensorData typedData) { SensorHistoryData result = new SensorHistoryData(); result.TypedData = JsonSerializer.Serialize(typedData); result.Time = typedData.EndTime; result.SensorType = SensorType.DoubleBarSensor; return(result); }
private void AddDataFromLists(DoubleBarSensorData currentItem) { currentItem.Mean = CountMean(_MeanList); currentItem.Percentiles = new List <PercentileValueDouble>(); //var median = _MedianList[(int) (_MedianList.Count / 2)]; if (_percentilesList.Count < 3) { currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.5, Value = currentItem.Mean }); currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.25, Value = currentItem.Min }); currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.75, Value = currentItem.Max }); return; } _percentilesList.Sort(); if (_percentilesList.Count == 3) { currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.5, Value = _percentilesList[1] }); currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.25, Value = _percentilesList[0] }); currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.75, Value = _percentilesList[2] }); return; } currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.5, Value = CountMedian() }); currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.25, Value = CountQ1() }); currentItem.Percentiles.Add(new PercentileValueDouble() { Percentile = 0.75, Value = CountQ3() }); }
private void ProcessItem(DoubleBarSensorData data, DoubleBarSensorData currentItem) { currentItem.Count += data.Count; if (data.Max > currentItem.Max) { currentItem.Max = data.Max; } if (data.Min < currentItem.Min) { currentItem.Min = data.Min; } }
private void AddDataToList(DoubleBarSensorData data) { try { _MeanList.Add(new KeyValuePair <double, int>(data.Mean, data.Count)); if (data.Percentiles != null && data.Percentiles.Any()) { _percentilesList.AddRange(data.Percentiles.Select(p => p.Value)); } } catch (Exception e) { } }
protected override List <SensorHistoryData> ProcessHistoryInternal(List <SensorHistoryData> uncompressedData, TimeSpan compressionInterval) { if (uncompressedData == null || !uncompressedData.Any()) { return(new List <SensorHistoryData>()); } if (uncompressedData.Count == 1) { return(uncompressedData); } List <DoubleBarSensorData> typedDatas = GetTypeDatas(uncompressedData); List <SensorHistoryData> result = new List <SensorHistoryData>(); DoubleBarSensorData currentItem = new DoubleBarSensorData() { Count = 0, Max = double.MinValue, Min = double.MaxValue }; DateTime startDate = typedDatas[0].StartTime; int processingCount = 0; bool needToAddCurrentAsSingle = false; bool addingCurrent = false; for (int i = 0; i < typedDatas.Count; ++i) { if (typedDatas[i].EndTime - typedDatas[i].StartTime > compressionInterval || (processingCount > 0 && startDate + compressionInterval < typedDatas[i].EndTime && i == typedDatas.Count - 1)) { needToAddCurrentAsSingle = true; } if (typedDatas[i].EndTime < startDate + compressionInterval && i == typedDatas.Count - 1) { AddDataToList(typedDatas[i]); ProcessItem(typedDatas[i], currentItem); addingCurrent = true; } //Finish bar if necessary if (i > 0 && (startDate + compressionInterval < typedDatas[i].EndTime || needToAddCurrentAsSingle || i == typedDatas.Count - 1)) { if (processingCount > 0) { AddDataFromLists(currentItem); ClearLists(); currentItem.StartTime = startDate; currentItem.EndTime = addingCurrent ? typedDatas[i].EndTime : typedDatas[i - 1].EndTime; result.Add(Convert(currentItem)); currentItem = new DoubleBarSensorData() { Count = 0, Max = double.MinValue, Min = double.MaxValue }; processingCount = 0; } } if (needToAddCurrentAsSingle) { result.Add(Convert(typedDatas[i])); needToAddCurrentAsSingle = false; if (i != typedDatas.Count - 1) { startDate = typedDatas[i + 1].StartTime; continue; } } //if (i == typedDatas.Count - 1) //{ // result.Add(Convert(typedDatas[i], typedDatas[i].EndTime)); //} //Start new bar, might need this right after finished previous if (processingCount == 0 && i != typedDatas.Count - 1) { startDate = typedDatas[i].StartTime; AddDataToList(typedDatas[i]); ProcessItem(typedDatas[i], currentItem); ++processingCount; continue; } AddDataToList(typedDatas[i]); ProcessItem(typedDatas[i], currentItem); ++processingCount; } return(result); }