public TrendData GetTrend(WaveData wave, float[] spectrum)
{
TrendData trendData = new TrendData();
trendData.Time = wave.time;
switch (this.option)
{
case "p2p":
trendData.Value = GetPeakToPeak(wave);
break;
case "upper":
trendData.Value = GetUpperPeak(wave);
break;
case "lower":
trendData.Value = GetLowerPeak(wave);
break;
case "peak":
trendData.Value = GetPeak(wave);
break;
default:
throw new Exception("Peak option is unavailable");
}
return(trendData);
}
internal int PressureTrend()
{
int trend = 0;
TrendData t = new TrendData();
t.time = DateTime.Now;
t.pressure = AirObj.obs[0][(int)AirIndex.PRESSURE].GetValueOrDefault();
Trend.Enqueue(t);
t = Trend.Peek();
if (t.time.AddHours(3) < DateTime.Now)
{
t = Trend.Dequeue();
if (t.pressure < (AirObj.obs[0][(int)AirIndex.PRESSURE] + 1))
{
trend = 1;
}
else if (t.pressure > (AirObj.obs[0][(int)AirIndex.PRESSURE] - 1))
{
trend = -1;
}
}
return(trend);
}
/// <summary>
/// Returns an empty list.
/// </summary>
private IEnumerable <TrendData> GetEmptyTrend()
{
TrendData[] trends = new TrendData[]
{
new TrendData {
target = "-1", datapoints = null
}
};
return(trends);
}
public TrendData RemoveLatest(TrendData trendData)
{
if (trendData.Data.Any())
{
var min = trendData.Data.Min(d => d.Key);
trendData.Data.Remove(min);
}
trendData.Trend = Trend.STAY;
return(trendData);
}
public TrendData CalculateTrend(TrendData trendData, DateTime matchDate, int value)
{
if (trendData.Data.Count >= 5)
{
var min = trendData.Data.Min(d => d.Key);
trendData.Data.Remove(min);
}
while (trendData.Data.ContainsKey(matchDate))
{
matchDate = matchDate.AddMinutes(1);
}
trendData.Data.Add(matchDate, value);
trendData.Trend = this.ReCalculate(trendData.Data);
return(trendData);
}
//Get Rms with Option
public TrendData GetTrend(WaveData wave, float[] spectrum)
{
double square = 0;
float mean, root = 0;
for (int i = start; i < end; i++)
{
square += (wave.Floats[i] * wave.Floats[i]);
}
mean = (float)square / wave.data.Length;
root = (float)Math.Sqrt(mean);
var id = title;
TrendData trendData = new TrendData();
trendData.Value = root;
trendData.Time = wave.time;
//trendData.Id = title;
return(trendData);
}
public IEnumerable <TrendData> GetDataForGrafana([FromBody] GrafanaArg grafanaArg)
{
if (grafanaArg == null)
{
return(GetEmptyTrend());
}
else
{
if (grafanaArg.targets == null)
{
Log.WriteError("It is not possible to receive data");
return(GetEmptyTrend());
}
else
{
SelectArcType(grafanaArg, out bool isHour, out int timeCoef);
TrendData[] trends = new TrendData[grafanaArg.targets.Length];
long fromMs = GetUnixTimeMs(grafanaArg.range.from);
long toMs = GetUnixTimeMs(grafanaArg.range.to);
for (int i = 0; i < grafanaArg.targets.Length; i++)
{
List <double?[]> points = new List <double?[]>();
if (!int.TryParse(grafanaArg.targets[i].target.Trim(), out int cnlNum))
{
Log.WriteError("It is not possible to read the dates for the channel " + cnlNum);
trends[i] = new TrendData {
target = "-1", datapoints = null
};
}
else
{
foreach (DateTime date in EachDay(grafanaArg.range.from, grafanaArg.range.to))
{
Trend trend = GetTrend(UtcToLocalTime(date), cnlNum, isHour);
for (int i1 = 0; i1 < trend.Points.Count; i1++)
{
long pointMs = GetUnixTimeMs(LocalToUtcTime(trend.Points[i1].DateTime));
if (pointMs >= fromMs && pointMs <= toMs)
{
if (i1 > 0)
{
long prevMs = GetUnixTimeMs(LocalToUtcTime(trend.Points[i1 - 1].DateTime));
if (pointMs - prevMs > timeCoef * 60000)
{
points.Add(new double?[] { null, prevMs + timeCoef * 60000 });
}
else
{
if (trend.Points[i1].Stat > 0)
{
points.Add(new double?[] { trend.Points[i1].Val, pointMs });
}
else
{
points.Add(new double?[] { null, pointMs });
}
}
}
else
{
if (trend.Points[i1].Stat > 0)
{
points.Add(new double?[] { trend.Points[i1].Val, pointMs });
}
else
{
points.Add(new double?[] { null, pointMs });
}
}
}
}
}
InCnlProps inCnlProps = dataAccess.GetCnlProps(cnlNum);
string cnlName = inCnlProps == null ? "" : inCnlProps.CnlName;
trends[i] = new TrendData {
target = "[" + cnlNum + "] " + cnlName, datapoints = points
};
Log.WriteAction("Channel data received " + cnlNum);
}
}
return(trends);
}
}
}
public IEnumerable <TrendData> GetDataForGrafana([FromBody] GrafanaArg grafanaArg)
{
if (grafanaArg == null)
{
return(GetEmptyTrend());
}
else
{
if (grafanaArg.targets == null)
{
Log.WriteError("It is not possible to receive data");
return(GetEmptyTrend());
}
else
{
List <double?[]> points = new List <double?[]>();
SelectArcType(grafanaArg, out bool isHour, out int timeCoef);
TrendData[] trends = new TrendData[grafanaArg.targets.Length];
for (int i = 0; i < grafanaArg.targets.Length; i++)
{
points = new List <double?[]>();
if (!int.TryParse(grafanaArg.targets[i].target.Trim(), out int cnlNum))
{
Log.WriteError("It is not possible to read the dates for the channel " + cnlNum);
trends[i] = new TrendData {
target = "-1", datapoints = null
};
}
else
{
foreach (DateTime date in EachDay(grafanaArg.range.from, grafanaArg.range.to))
{
Trend trend = GetTrend(date, cnlNum, isHour);
for (int i1 = 0; i1 < trend.Points.Count; i1++)
{
long ofsVal = GetUnixTimeMs(trend.Points[i1].DateTime);
if (i1 > 0)
{
long ofsValP = GetUnixTimeMs(trend.Points[i1 - 1].DateTime);
if ((ofsVal - ofsValP) > timeCoef * 60000)
{
points.Add(new double?[] { null, ofsValP + timeCoef * 60000 });
}
else
{
points.Add(new double?[] { trend.Points[i1].Val, ofsVal });
}
}
else
{
points.Add(new double?[] { trend.Points[i1].Val, ofsVal });
}
}
}
trends[i] = new TrendData {
target = cnlNum.ToString(), datapoints = points
};
Log.WriteAction("Channel data received " + cnlNum);
}
}
return(trends);
}
}
}
private void FetchTwitterTrends(double latitude, double longitude, long woeId)
{
var placeTrends = Trends.GetTrendsAt(woeId);
var twitterTrendingData = new TwitterTrendingData { Trends = new List<TrendData>() };
foreach (var item in placeTrends.Trends)
{
twitterTrendingData.TimeId = placeTrends.AsOf;
var trendData = new TrendData { Name = item.Name };
var searchParameter = Search.CreateTweetSearchParameter(item.Name);
// searchParameter.MaximumNumberOfResults = 500;
ICoordinates coord = new Coordinates(longitude, latitude);
searchParameter.SetGeoCode(coord, 50000, DistanceMeasure.Miles);
var tweets = Search.SearchTweets(searchParameter);
trendData.Tweets = new List<MyTweet>();
foreach (var tweet in tweets)
{
var myTweet = new MyTweet
{
Latitude = tweet.Coordinates.Latitude,
Longitude = tweet.Coordinates.Longitude,
Text = tweet.Text
};
trendData.Tweets.Add(myTweet);
}
twitterTrendingData.Trends.Add(trendData);
}
}
public void waveReceiver_WavesReceived(WaveData[] waves)
{
/*Time*/
var resolution = Settings.Default.AsyncLine / (double)Settings.Default.AsyncFMax;
foreach (var serise in TimeChart.Series)
{
(serise as FastLine).Clear();
}
for (int ch = 0; ch < waves.Length; ch++)
{
var displayData = EnableIntegrator ? NormalIntegrator.Integration(waves[ch].AsyncData) : waves[ch].AsyncData;
TimeChart.Series[ch].BeginUpdate();
for (int i = 0; i < waves[ch].AsyncDataCount; i++)
{
TimeChart.Series[ch].Add(i * resolution / (double)waves[ch].AsyncDataCount, displayData[i]);
}
TimeChart.Series[ch].EndUpdate();
}
/*FFT*/
foreach (var serise in FFTChart.Series)
{
(serise as FastLine).Clear();
}
for (int ch = 0; ch < waves.Length; ch++)
{
var displayData = EnableIntegrator ? NormalIntegrator.Integration(waves[ch].AsyncData) : waves[ch].AsyncData;
var fft = FFTCalculator.CreateSpectrumData(displayData, waves[ch].DateTime);
FFTChart.Series[ch].BeginUpdate();
for (int i = 0; i < fft.XValues.Length; i++)
{
FFTChart.Series[ch].Add(fft.XValues[i], fft.YValues[i]);
}
FFTChart.Series[ch].EndUpdate();
}
TrendData[] datas = new TrendData[MeasureList.Count];
/*Trend*/
if (MeasureList.Count > 0)
{
for (int i = 0; i < MeasureList.Count; i++)
{
var chid = MeasureList[i].GetChannelIdx();
var fftData = FFTCalculator.CreateSpectrumData(waves[chid].AsyncData, waves[chid].DateTime);
var series = TrendChart.Series[i];
if (series.Count > TrendXScale)
{
series.Delete(0);
}
var measureData = MeasureList[i].CalcMeasureScalar(waves[chid], fftData);
series.Add(waves[chid].DateTime, MeasureList[i].CalcMeasureScalar(waves[chid], fftData));
SQLRepository.TrendData.InsertData(new TrendData(waves[chid].DateTime, MeasureList[i].GetIdx(), measureData));
}
}
foreach (var recoder in RecoderList)
{
var queue = recoder.GetWavesQueue();
lock (((ICollection)queue).SyncRoot)
{
if (queue.Count > 100)
{
WaveQueue.Dequeue();
}
queue.Enqueue(waves);
}
}
}
