private void BotOnReceiveError(object sender, ReceiveErrorEventArgs e)
{
Debugger.Break();
ApiRequestException ex = e.ApiRequestException;
Console.WriteLine(ex.Message);
ServiceTools.logToTextFile(errorFilename,
"got API exception: " + ex.Message + Environment.NewLine + "Error code: " + ex.ErrorCode +
Environment.NewLine + ex.StackTrace, true, true);
}
public void Start(string[] args)
{
readDefaultProperties();
List <string> argsList = new List <string>(args);
if (argsList.Any(str => str.Contains("--convert-existing-stats=")))
{
string foundArg = argsList.Find(str => str.Substring(0, 25) == "--convert-existing-stats=");
FilesToProcessMask = foundArg.Replace("--convert-existing-stats=", "");
Console.WriteLine("files mask to process: \"" + FilesToProcessMask + "\"");
}
if (argsList.Find(str => str == "--recursive") != null)
{
cbSearchImagesTopDirectoryOnly = false;
}
if (argsList.Find(str => str.Substring(0, 38) == "--filter-default-CenterX-double-value=") != null)
{
string foundArg = argsList.Find(str => str.Substring(0, 38) == "--filter-default-CenterX-double-value=");
string strValue = foundArg.Replace("--filter-default-CenterX-double-value=", "");
filterDefaultDoubleValueCenterX = Convert.ToDouble(strValue.Replace(".", ","));
}
if (argsList.Find(str => str.Substring(0, 38) == "--filter-default-CenterY-double-value=") != null)
{
string foundArg = argsList.Find(str => str.Substring(0, 38) == "--filter-default-CenterY-double-value=");
string strValue = foundArg.Replace("--filter-default-CenterY-double-value=", "");
filterDefaultDoubleValueCenterY = Convert.ToDouble(strValue.Replace(".", ","));
}
if (argsList.Find(str => str.Substring(0, 37) == "--filter-default-Radius-double-value=") != null)
{
string foundArg = argsList.Find(str => str.Substring(0, 37) == "--filter-default-Radius-double-value=");
string strValue = foundArg.Replace("--filter-default-Radius-double-value=", "");
filterDefaultDoubleValueRadius = Convert.ToDouble(strValue.Replace(".", ","));
}
ServiceTools.logToTextFile(outputDataFile,
"processing data files using pattern: " + FilesToProcessMask + Environment.NewLine, true);
Console.WriteLine("getting files list");
EnumerateFilesToProcess();
foreach (ImagesConvertingData enumObj in lStatsConversion)
{
CurrFileProcessing(enumObj);
}
}
public void Start(string[] args)
{
readDefaultProperties();
List <string> argsList = new List <string>(args);
if (argsList.Find(str => str.Substring(0, 7) == "--mask=") != null)
{
string foundArg = argsList.Find(str => str.Substring(0, 7) == "--mask=");
FilesToProcessMask = foundArg.Substring(7);
Console.WriteLine("files mask to process: \"" + FilesToProcessMask + "\"");
}
if (argsList.Find(str => str == "--recursive") != null)
{
cbSearchImagesTopDirectoryOnly = false;
}
outputDataFile = strOutputDirectory + outputDataFile;
ServiceTools.logToTextFile(outputDataFile,
"processing images using filename mask: " + FilesToProcessMask + Environment.NewLine, true);
Console.WriteLine("getting files list");
EnumerateFilesToProcess();
ServiceTools.logToTextFile(outputDataFile,
"filename;centerX;centerY;radius" + Environment.NewLine, true);
var options = new ParallelOptions();
options.MaxDegreeOfParallelism = maxConcurrentBackgroundWorkers;
Parallel.ForEach(lStatsCalculation, options, item => { CurrImageProcessing(item); });
}
private void swapResponseLog(object sender)
{
string filename1;
string strtowrite;
byte[] info2write;
int curDevID = 1;
if (sender == btnSwapResponseLog1)
{
curDevID = 1;
}
else if (sender == btnSwapResponseLog2)
{
curDevID = 2;
}
filename1 = Directory.GetCurrentDirectory() + "\\ResponseLog-" + "devID" + curDevID + "-" +
DateTime.Now.Year + "-" + DateTime.Now.Month + "-" + DateTime.Now.Day + "-" + DateTime.Now.Hour +
"-" + DateTime.Now.Minute + "-" + DateTime.Now.Second + ".log";
ServiceTools.logToTextFile(filename1, tbResponseLog1.Text, true);
ThreadSafeOperations.SetTextTB(tbResponseLog1, "", false);
}
private void EnumerateFilesToProcess()
{
string directory = Path.GetDirectoryName(FilesToProcessMask);
string filemask = FilesToProcessMask.Replace(directory + Path.DirectorySeparatorChar, "");
List <string> filesList =
new List <string>(Directory.EnumerateFiles(directory, filemask,
cbSearchImagesTopDirectoryOnly ? SearchOption.TopDirectoryOnly : SearchOption.AllDirectories));
if (!filesList.Any())
{
Console.WriteLine("There is no images that sutisfy specified settings. Processing will not be started.");
return;
}
int intFinalIndex = filesList.Count;
int idx = 0;
int currPerc = 0;
int prevPerc = 0;
foreach (string fName in filesList)
{
Console.Write("adding file to calculation queue:" + fName + "\r");
idx++;
AddImageToCalculationQueue(fName);
}
Console.WriteLine("finished enumerating files. Files to process: " + lStatsCalculation.Count);
ServiceTools.logToTextFile(outputDataFile,
"files count to process: " + lStatsCalculation.Count + Environment.NewLine, true);
}
private void CurrImageProcessing(ImageStatsCollectingData dat)
{
string strSaveControlImagesToPath = "";
string currentFullFileName = dat.filename;
if (defaultProperties.ContainsKey("SaveControlImagesToPath"))
{
strSaveControlImagesToPath = (string)defaultProperties["SaveControlImagesToPath"];
}
else
{
strSaveControlImagesToPath = "same as source image";
}
try
{
Image <Bgr, byte> currImg = new Image <Bgr, byte>(currentFullFileName);
ImageProcessing imgP = new ImageProcessing(currImg, true);
#region debugging output control images
#if DEBUG
if (strSaveControlImagesToPath != "")
{
string strControlImageFileName = "";
if (strSaveControlImagesToPath == "same as source image")
{
strControlImageFileName = Path.GetDirectoryName(currentFullFileName);
strControlImageFileName += ((strControlImageFileName.Last() == Path.DirectorySeparatorChar)
? ("")
: (Path.DirectorySeparatorChar.ToString()));
strControlImageFileName += Path.GetFileNameWithoutExtension(currentFullFileName) +
"-control.jpg";
}
else
{
if (Directory.Exists(strSaveControlImagesToPath))
{
strControlImageFileName = strSaveControlImagesToPath +
((strSaveControlImagesToPath.Last() == Path.DirectorySeparatorChar)
? ("")
: (Path.DirectorySeparatorChar.ToString())) +
Path.GetFileNameWithoutExtension(currentFullFileName) +
"-control.jpg";
}
else
{
strControlImageFileName = "";
}
}
if (strControlImageFileName != "")
{
// save control image
imgP.significantMaskImageOctLined.Save(strControlImageFileName);
}
}
#endif
#endregion debugging output control images
string csvDataStr = Path.GetFileName(currentFullFileName) + ";" + imgP.imageRD.ToCSVstring(";");
ServiceTools.logToTextFile(outputDataFile, csvDataStr + Environment.NewLine, true);
ImageStatsCollectingData foundDataObj =
lStatsCalculation.Find(obj => obj.filename == currentFullFileName);
foundDataObj.State = ImageGrIxStatsCollectingState.Finished;
foundDataObj.rd = imgP.imageRD;
Console.WriteLine("finished processing file " + Environment.NewLine + currentFullFileName);
Console.WriteLine("remains: " +
lStatsCalculation.FindAll(
imgStats => imgStats.State == ImageGrIxStatsCollectingState.Queued).Count + " of " +
lStatsCalculation.Count);
}
catch (Exception ex)
{
return;
}
}
private Image <Bgr, byte> FillGraphImage(Size imgSize)
{
string curDirPath = Directory.GetCurrentDirectory() + "\\logs\\";
DirectoryInfo dirInfo = new DirectoryInfo(curDirPath);
List <Dictionary <string, object> > lReadData = new List <Dictionary <string, object> >();
if (defaultGraphsTimeSpan)
{
graphsTimeSpan = new Tuple <DateTime, DateTime>(DateTime.UtcNow.AddDays(-1), DateTime.UtcNow);
}
GraphVariablesTypes currVarType = GraphVariablesTypes.none;
if (rbtnPressureGraph.Checked)
{
currVarType = GraphVariablesTypes.Pressure;
}
if (rbtnAirTempGraph.Checked)
{
currVarType = GraphVariablesTypes.AirTemp;
}
if (rbtnWaterTempGraph.Checked)
{
currVarType = GraphVariablesTypes.WaterTemp;
}
if (rbtnWindSpeedGraph.Checked)
{
currVarType = GraphVariablesTypes.WindSpeed;
}
if ((fRenderer == null) || (!prevGraphsTimeSpan.Equals(graphsTimeSpan) || currVarType != prevGraphVariable))
{
fRenderer = new MultipleScatterAndFunctionsRepresentation(imgSize);
switch (currVarType)
{
case GraphVariablesTypes.Pressure:
{
currValueColor = new Bgr(Color.Blue);
break;
}
case GraphVariablesTypes.AirTemp:
{
currValueColor = new Bgr(Color.Red);
break;
}
case GraphVariablesTypes.WaterTemp:
{
currValueColor = new Bgr(Color.RoyalBlue);
break;
}
case GraphVariablesTypes.WindSpeed:
{
currValueColor = new Bgr(Color.Gray);
break;
}
default:
{
currValueColor = new Bgr(Color.Blue);
break;
}
}
}
else if (fRenderer != null)
{
if (fRenderer.TheImage.Size != imgSize)
{
fRenderer.ResizeCanvas(imgSize);
}
}
if (!prevGraphsTimeSpan.Equals(graphsTimeSpan))
{
IEnumerable <string> ncFileNames = Directory.EnumerateFiles(curDirPath,
"IoffeVesselInfoStream-MeteoDataLog-*.nc",
SearchOption.TopDirectoryOnly);
foreach (string ncFileName in ncFileNames)
{
Tuple <DateTime, DateTime> currFileDateTimeRange = null;
try
{
currFileDateTimeRange = ServiceTools.GetNetCDFfileTimeStampsRange(ncFileName);
}
catch (Exception ex)
{
#region report
#if DEBUG
ServiceTools.ExecMethodInSeparateThread(this, () =>
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"an exception has been thrown during file reading: " + Environment.NewLine + ncFileName +
Environment.NewLine + "message: " + ex.Message + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription());
});
#else
ServiceTools.ExecMethodInSeparateThread(this, () =>
{
ServiceTools.logToTextFile(errorLogFilename,
"an exception has been thrown during file reading: " + Environment.NewLine + ncFileName +
Environment.NewLine + "message: " + ex.Message + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription(), true, true);
});
#endif
#endregion report
}
if (currFileDateTimeRange == null)
{
continue;
}
if ((currFileDateTimeRange.Item1 >= graphsTimeSpan.Item1) &&
(currFileDateTimeRange.Item1 <= graphsTimeSpan.Item2) ||
(currFileDateTimeRange.Item2 >= graphsTimeSpan.Item1) &&
(currFileDateTimeRange.Item2 <= graphsTimeSpan.Item2))
{
Dictionary <string, object> dictFileData = null;
try
{
dictFileData = NetCDFoperations.ReadDataFromFile(ncFileName);
}
catch (Exception ex)
{
#region report
#if DEBUG
ServiceTools.ExecMethodInSeparateThread(this, () =>
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"an exception has been thrown during file reading: " + Environment.NewLine +
ncFileName +
Environment.NewLine + "message: " + ex.Message + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription());
});
#else
ServiceTools.ExecMethodInSeparateThread(this, () =>
{
ServiceTools.logToTextFile(errorLogFilename,
"an exception has been thrown during file reading: " + Environment.NewLine + ncFileName +
Environment.NewLine + "message: " + ex.Message + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription(), true, true);
});
#endif
#endregion report
}
if (dictFileData != null)
{
lReadData.Add(dictFileData);
}
}
}
foreach (Dictionary <string, object> currFileDataDict in lReadData)
{
if (currFileDataDict == null)
{
continue;
}
string varNameDateTime = "DateTime";
List <long> currFileDateTimeLongTicksList =
new List <long>((currFileDataDict[varNameDateTime] as long[]));
List <DateTime> currFileDateTimeList =
currFileDateTimeLongTicksList.ConvertAll(longVal => new DateTime(longVal));
string varNameMeteoData = "MeteoData";
List <MeteoData> currFileMeteoDataList =
MeteoData.OfDenseMatrix(currFileDataDict[varNameMeteoData] as DenseMatrix);
if (tsMeteoDataForGraphs == null)
{
try
{
tsMeteoDataForGraphs = new TimeSeries <MeteoData>(currFileMeteoDataList, currFileDateTimeList,
true);
}
catch (Exception ex)
{
#region report
#if DEBUG
ServiceTools.ExecMethodInSeparateThread(this, () =>
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"couldn`t create timeseries: exception has been thrown" + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription() + Environment.NewLine + "message: " +
ex.Message);
});
#else
ServiceTools.ExecMethodInSeparateThread(this, () =>
{
ServiceTools.logToTextFile(errorLogFilename,
"couldn`t create timeseries: exception has been thrown" + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription() + Environment.NewLine + "message: " +
ex.Message, true, true);
});
#endif
#endregion report
}
}
else
{
try
{
tsMeteoDataForGraphs.AddSubseriaData(currFileMeteoDataList, currFileDateTimeList, true);
}
catch (Exception ex)
{
#region report
#if DEBUG
ServiceTools.ExecMethodInSeparateThread(this, () =>
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"couldn`t create timeseries: exception has been thrown" + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription() + Environment.NewLine + "message: " +
ex.Message);
});
#else
ServiceTools.ExecMethodInSeparateThread(this, () =>
{
ServiceTools.logToTextFile(errorLogFilename,
"couldn`t create timeseries: exception has been thrown" + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription() + Environment.NewLine + "message: " +
ex.Message, true, true);
});
#endif
#endregion report
}
}
}
if (tsMeteoDataForGraphs == null)
{
return(null);
}
tsMeteoDataForGraphs.SortByTimeStamps();
tsMeteoDataForGraphs.RemoveDuplicatedTimeStamps();
DateTime utcNow = DateTime.UtcNow;
if (defaultGraphsTimeSpan)
{
tsMeteoDataForGraphs.RemoveValues(dt => (utcNow - dt).TotalSeconds > 86400);
}
else
{
tsMeteoDataForGraphs.RemoveValues(
dt => !((dt >= graphsTimeSpan.Item1) && (dt <= graphsTimeSpan.Item2)));
}
List <TimeSeries <MeteoData> > subSeriesBy1Minute =
tsMeteoDataForGraphs.SplitByTimeSpan(new TimeSpan(0, 1, 0));
List <double> lSubSeriesEntriesCount = subSeriesBy1Minute.ConvertAll(subs => (double)subs.Count);
DescriptiveStatistics statsCounts = new DescriptiveStatistics(lSubSeriesEntriesCount);
aveMinuteEntriesCount = Convert.ToInt32(statsCounts.Mean);
// = tsMeteoData.TimeStamps.ConvertAll(dt => (dt - maxDateTime).TotalSeconds);
}
List <MeteoData> meteoDataList = tsMeteoDataForGraphs.DataValues;
DateTime maxDateTime = tsMeteoDataForGraphs.TimeStamps.Max();
if ((currVarType != prevGraphVariable) || !prevGraphsTimeSpan.Equals(graphsTimeSpan))
{
double minVarValue = 0.0d;
double maxVarValue = 1.0d;
List <double> currVarToShowValues = new List <double>();
switch (currVarType)
{
case GraphVariablesTypes.Pressure:
{
currVarToShowValues = meteoDataList.ConvertAll(mdt => mdt.pressure);
TimeSeries <double> currVarTS = new TimeSeries <double>(currVarToShowValues,
tsMeteoDataForGraphs.TimeStamps);
currVarTS.RemoveValues(dVal => dVal <= 900.0d);
currVarToShowValues = new List <double>(currVarTS.DataValues);
currFileSecondsList = currVarTS.TimeStamps.ConvertAll(dt => (dt - maxDateTime).TotalSeconds);
fRenderer.yAxisValuesConversionToRepresentTicksValues =
new Func <double, string>(dVal => dVal.ToString("F1"));
break;
}
case GraphVariablesTypes.AirTemp:
{
currVarToShowValues = meteoDataList.ConvertAll(mdt => mdt.airTemperature);
TimeSeries <double> currVarTS = new TimeSeries <double>(currVarToShowValues,
tsMeteoDataForGraphs.TimeStamps);
currVarTS.RemoveValues(dVal => ((dVal < -20.0d) || (dVal > 50.0d)));
currVarToShowValues = new List <double>(currVarTS.DataValues);
currFileSecondsList = currVarTS.TimeStamps.ConvertAll(dt => (dt - maxDateTime).TotalSeconds);
fRenderer.yAxisValuesConversionToRepresentTicksValues =
new Func <double, string>(dVal => dVal.ToString("F2"));
break;
}
case GraphVariablesTypes.WaterTemp:
{
currVarToShowValues = meteoDataList.ConvertAll(mdt => mdt.waterTemperature);
TimeSeries <double> currVarTS = new TimeSeries <double>(currVarToShowValues,
tsMeteoDataForGraphs.TimeStamps);
currVarTS.RemoveValues(dVal => ((dVal < -20.0d) || (dVal > 50.0d)));
currVarToShowValues = new List <double>(currVarTS.DataValues);
currFileSecondsList = currVarTS.TimeStamps.ConvertAll(dt => (dt - maxDateTime).TotalSeconds);
fRenderer.yAxisValuesConversionToRepresentTicksValues =
new Func <double, string>(dVal => dVal.ToString("F2"));
break;
}
case GraphVariablesTypes.WindSpeed:
{
currVarToShowValues = meteoDataList.ConvertAll(mdt => mdt.windSpeed);
TimeSeries <double> currVarTS = new TimeSeries <double>(currVarToShowValues,
tsMeteoDataForGraphs.TimeStamps);
currVarTS.RemoveValues(dVal => ((dVal < 0.0d) || (dVal > 50.0d)));
currVarToShowValues = new List <double>(currVarTS.DataValues);
currFileSecondsList = currVarTS.TimeStamps.ConvertAll(dt => (dt - maxDateTime).TotalSeconds);
fRenderer.yAxisValuesConversionToRepresentTicksValues =
new Func <double, string>(dVal => dVal.ToString("F1"));
break;
}
default:
return(null);
}
dvVarValues = DenseVector.OfEnumerable(currVarToShowValues);
dvVarValues = dvVarValues.Conv(Extensions.StandardConvolutionKernels.gauss, aveMinuteEntriesCount * 10);
}
fRenderer.dvScatterFuncValues.Add(dvVarValues);
fRenderer.dvScatterXSpace.Add(DenseVector.OfEnumerable(currFileSecondsList));
fRenderer.xAxisValuesConversionToRepresentTicksValues = (dValSec) =>
{
DateTime currDT = tsMeteoDataForGraphs.TimeStamps.Max().AddSeconds(dValSec);
return(currDT.ToString("yyyy-MM-dd" + Environment.NewLine + "HH:mm"));
};
fRenderer.scatterLineColors.Add(currValueColor);
fRenderer.scatterDrawingVariants.Add(SequencesDrawingVariants.polyline);
fRenderer.xSpaceMin = currFileSecondsList.Min();
fRenderer.xSpaceMax = currFileSecondsList.Max();
fRenderer.overallFuncMin = dvVarValues.Min();
fRenderer.overallFuncMax = dvVarValues.Max();
fRenderer.fixSpecifiedMargins = true;
fRenderer.Represent();
Image <Bgr, byte> retImg = fRenderer.TheImage;
// расположим надпись
string strSign = "current value: " + dvVarValues.Last().ToString("F2");
List <TextBarImage> textBarsCases = new List <TextBarImage>();
TextBarImage tbimTopLeftSign = new TextBarImage(strSign, retImg);
tbimTopLeftSign.PtSurroundingBarStart =
new Point(fRenderer.LeftServiceSpaceGapX + tbimTopLeftSign.textHalfHeight,
fRenderer.TopServiceSpaceGapY + tbimTopLeftSign.textHalfHeight);
textBarsCases.Add(tbimTopLeftSign);
TextBarImage tbimBtmLeftSign = new TextBarImage(strSign, retImg);
tbimBtmLeftSign.PtSurroundingBarStart = new Point(fRenderer.LeftServiceSpaceGapX + tbimBtmLeftSign.textHalfHeight,
retImg.Height - fRenderer.BtmServiceSpaceGapY - tbimBtmLeftSign.textHalfHeight - tbimBtmLeftSign.textHeight * 2);
textBarsCases.Add(tbimBtmLeftSign);
TextBarImage tbimTopRightSign = new TextBarImage(strSign, retImg);
tbimTopRightSign.PtSurroundingBarStart =
new Point(
retImg.Width - fRenderer.RightServiceSpaceGapX - tbimTopRightSign.textHalfHeight -
tbimTopRightSign.textBarSize.Width, fRenderer.TopServiceSpaceGapY + tbimTopLeftSign.textHalfHeight);
textBarsCases.Add(tbimTopRightSign);
TextBarImage tbimBtmRightSign = new TextBarImage(strSign, retImg);
tbimBtmRightSign.PtSurroundingBarStart =
new Point(
retImg.Width - fRenderer.RightServiceSpaceGapX - tbimBtmRightSign.textHalfHeight -
tbimBtmRightSign.textBarSize.Width,
retImg.Height - fRenderer.BtmServiceSpaceGapY - tbimBtmRightSign.textHalfHeight -
tbimBtmRightSign.textHeight * 2);
textBarsCases.Add(tbimBtmRightSign);
textBarsCases.Sort((case1, case2) => (case1.SubImageInTextRect.CountNonzero().Sum() > case2.SubImageInTextRect.CountNonzero().Sum()) ? 1 : -1);
MCvFont theFont = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 2.0d, 2.0d)
{
thickness = 2,
};
// retImg.Draw(strSign, textBarsCases[0].ptTextBaselineStart, Emgu.CV.CvEnum.FontFace.HersheyPlain, 2.0d, new Bgr(Color.Green), 2);
retImg.Draw(strSign, ref theFont, textBarsCases[0].ptTextBaselineStart, new Bgr(Color.Green));
retImg.Draw(textBarsCases[0].rectSurroundingBar, new Bgr(Color.Green), 2);
prevGraphsTimeSpan = graphsTimeSpan;
prevGraphVariable = currVarType;
return(retImg);
}
public void Start(string[] args)
{
readDefaultProperties();
List <string> argsList = new List <string>(args);
if (argsList.Find(str => str == "--recursive") != null)
{
bEnumerateFilesRecursively = true;
}
if (argsList.Find(str => str == "-y") != null)
{
bStartWithoutConfirmation = true;
}
// --filter-by-observed-cloud-cover-records
// bFilterByObservedCloudCoverRecords
if (argsList.Find(str => str == "--filter-by-observed-cloud-cover-records") != null)
{
bFilterByObservedCloudCoverRecords = true;
}
// sdcFilter
if (argsList.Where(str => str.Contains("--sdc=")).Count() > 0)
{
string foundArg = argsList.Where(str => str.Contains("--sdc=")).ToList()[0];
string strValue = foundArg.Replace("--sdc=", "");
//sdcFilter
if (strValue == "none")
{
sdcFilter = SunDiskCondition.NoSun;
}
else if (strValue == "0")
{
sdcFilter = SunDiskCondition.Sun0;
}
else if (strValue == "1")
{
sdcFilter = SunDiskCondition.Sun1;
}
else if (strValue == "2")
{
sdcFilter = SunDiskCondition.Sun2;
}
else
{
sdcFilter = SunDiskCondition.Sun2;
}
}
else
{
Console.WriteLine("SDC filter is not specified. Filtering by SDC will not applied.");
sdcFilter = SunDiskCondition.Undefined; // Не применять фильтрацию
}
if (argsList.Where(str => str.Contains("--camera-id=")).Count() > 0)
{
string foundArg = argsList.Where(str => str.Contains("--camera-id=")).ToList()[0];
string strValue = foundArg.Replace("--camera-id=", "");
CamIDtoProcess = Convert.ToInt32(strValue);
if ((CamIDtoProcess != 1) && (CamIDtoProcess != 2))
{
Console.WriteLine("camera ID out of range detected. I will not filter by camera ID.");
CamIDtoProcess = 0;
}
}
else
{
Console.WriteLine("camera ID out of range detected. I will not filter by camera ID");
CamIDtoProcess = 0; // will not filter
}
if (!bStartWithoutConfirmation)
{
Console.Write("Start with the mentioned properties? [y/n] ");
string strReply = Console.ReadLine();
if (strReply.ToLower().First() != 'y')
{
Console.WriteLine("\nWill not proceed due to user interruprion.");
Console.WriteLine("===FINISHED===");
Console.ReadKey();
return;
}
}
outputDataFile = strOutputDirectory + Path.GetFileNameWithoutExtension(outputDataFile) + "-" + sdcFilter.ToString() + "-camID" +
CamIDtoProcess + ".xml";
string outputCSVfile = strOutputDirectory + Path.GetFileNameWithoutExtension(outputDataFile) + "-" + sdcFilter.ToString() + "-camID" +
CamIDtoProcess + ".csv";
Console.WriteLine("getting files list");
#region Enumerating files
string directory = Path.GetDirectoryName(inputBasePath);
string filemask = "*.jpg";
List <string> filesList =
new List <string>(Directory.EnumerateFiles(directory, filemask,
bEnumerateFilesRecursively ? SearchOption.AllDirectories : SearchOption.TopDirectoryOnly));
#region filter by camID
//...devID1.jpg
if (CamIDtoProcess > 0)
{
string ptrnCamID = "devid" + CamIDtoProcess + ".jpg";
filesList = filesList.Where(fname => fname.ToLower().Contains(ptrnCamID)).ToList();
}
#endregion
Console.WriteLine("found " + filesList.Count + " images.");
#region try to find concurrent and stats data already assembled into a small set of files
List <string> assembledDataFilesList =
Directory.EnumerateFiles(ConcurrentDataXMLfilesDirectory,
"*.xml", SearchOption.TopDirectoryOnly).ToList();
List <ImagesProcessingData> lReadAssembledData = new List <ImagesProcessingData>();
foreach (string strAssembledDataXMlfName in assembledDataFilesList)
{
try
{
List <ImagesProcessingData> currFileContent =
ServiceTools.ReadObjectFromXML(strAssembledDataXMlfName, typeof(List <ImagesProcessingData>)) as
List <ImagesProcessingData>;
lReadAssembledData.AddRange(currFileContent);
}
catch (Exception ex)
{
continue;
}
}
if (lReadAssembledData.Any())
{
Console.WriteLine("Found pre-assembled ImagesProcessingData XML files: ");
foreach (string s in assembledDataFilesList)
{
Console.WriteLine(s);
}
Console.WriteLine("Read records from this set: " + lReadAssembledData.Count);
Console.WriteLine("Images to process originally: " + filesList.Count);
Console.WriteLine("Should I use these pre-assembled data? (y/n): ");
string ans = Console.ReadKey().KeyChar.ToString();
if (ans == "y")
{
lStatsProcessing = lReadAssembledData;
}
}
#endregion try to find data already compiled into a small set of files
if (!lStatsProcessing.Any())
{
#region list, read and map image stats files
Console.WriteLine("filtering by ready-to-use GrIxYRGB XML files...");
List <string> statsFilesList =
new List <string>(Directory.EnumerateFiles(imageYRGBstatsXMLdataFilesDirectory, ConventionalTransitions.ImageGrIxYRGBstatsFileNamesPattern(),
bEnumerateFilesRecursively ? SearchOption.AllDirectories : SearchOption.TopDirectoryOnly));
List <string> statsFilesListWOpath = statsFilesList.ConvertAll(Path.GetFileName);
Console.WriteLine("found " + statsFilesList.Count + " XML stats files in directory " + Environment.NewLine +
imageYRGBstatsXMLdataFilesDirectory + Environment.NewLine + "by mask " +
Environment.NewLine + ConventionalTransitions.ImageGrIxYRGBstatsFileNamesPattern());
int removed =
filesList.RemoveAll(
fname =>
!statsFilesListWOpath.Contains(ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(fname, "",
false)));
Console.WriteLine("removed " + removed + " items (couldn`t find stats data files). Remains " + filesList.Count + " to process.");
if (!filesList.Any())
{
Console.WriteLine("There is no " + filemask + " files that sutisfy settings specified. Processing will not be started.");
return;
}
lStatsProcessing = filesList.ConvertAll(strImgFname =>
{
ImagesProcessingData retVal = new ImagesProcessingData()
{
filename = strImgFname
};
return(retVal);
});
//#if DEBUG
// lStatsProcessing = lStatsProcessing.Where((ipd, ind) => ind < 10).ToList();
//#endif
Console.WriteLine("started reading and mapping stats data");
int totalFilesCountToRead = lStatsProcessing.Count;
int filesRead = 0;
int currProgressPerc = 0;
foreach (ImagesProcessingData ipdt in lStatsProcessing)
{
ipdt.grixyrgbStatsXMLfile =
statsFilesList.First(
statsFname =>
statsFname.Contains(ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(ipdt.filename, "",
false)));
ipdt.grixyrgbStats =
ServiceTools.ReadObjectFromXML(ipdt.grixyrgbStatsXMLfile, typeof(SkyImageIndexesStatsData)) as
SkyImageIndexesStatsData;
#region calculate and report progress
filesRead++;
double progress = 100.0d * (double)filesRead / (double)totalFilesCountToRead;
if (progress - (double)currProgressPerc > 1.0d)
{
currProgressPerc = Convert.ToInt32(progress);
Console.WriteLine("read " + currProgressPerc + "%");
}
#endregion calculate and report progress
}
#endregion
#region list, read and map concurrent data
List <ConcurrentData> lConcurrentData = null;
List <string> concurrentDataFilesList =
Directory.EnumerateFiles(ConcurrentDataXMLfilesDirectory,
ConventionalTransitions.ImageConcurrentDataFilesNamesPattern(),
bEnumerateFilesRecursively ? SearchOption.AllDirectories : SearchOption.TopDirectoryOnly).ToList();
#region reading
Console.WriteLine("started concurrent data reading");
totalFilesCountToRead = concurrentDataFilesList.Count;
filesRead = 0;
currProgressPerc = 0;
List <Dictionary <string, object> > lDictionariesConcurrentData =
new List <Dictionary <string, object> >();
foreach (string strConcDataXMLFile in concurrentDataFilesList)
{
Dictionary <string, object> currDict = ServiceTools.ReadDictionaryFromXML(strConcDataXMLFile);
currDict.Add("XMLfileName", Path.GetFileName(strConcDataXMLFile));
lDictionariesConcurrentData.Add(currDict);
#region calculate and report progress
filesRead++;
double progress = 100.0d * (double)filesRead / (double)totalFilesCountToRead;
if (progress - (double)currProgressPerc > 1.0d)
{
currProgressPerc = Convert.ToInt32(progress);
Console.WriteLine("read " + currProgressPerc + "%");
}
#endregion calculate and report progress
}
lDictionariesConcurrentData.RemoveAll(dict => dict == null);
lConcurrentData =
lDictionariesConcurrentData.ConvertAll <ConcurrentData>(dict =>
{
ConcurrentData retVal = null;
try
{
retVal = new ConcurrentData(dict);
}
catch (Exception ex)
{
string strError = "couldn`t parse XML file " + dict["XMLfileName"] + " : " +
Environment.NewLine + ex.Message;
Console.WriteLine(strError);
}
return(retVal);
});
lConcurrentData.RemoveAll(val => val == null);
#endregion reading
#region mapping
// map obtained concurrent data to images by its datetime
Console.WriteLine("concurrent data mapping started");
lStatsProcessing = lStatsProcessing.ConvertAll(ipdt =>
{
string currImgFilename = ipdt.filename;
currImgFilename = Path.GetFileNameWithoutExtension(currImgFilename);
DateTime currImgDT = ConventionalTransitions.DateTimeOfSkyImageFilename(currImgFilename);
ConcurrentData nearestConcurrentData = lConcurrentData.Aggregate((cDt1, cDt2) =>
{
TimeSpan tspan1 = new TimeSpan(Math.Abs((cDt1.datetimeUTC - currImgDT).Ticks));
TimeSpan tspan2 = new TimeSpan(Math.Abs((cDt2.datetimeUTC - currImgDT).Ticks));
return((tspan1 <= tspan2) ? (cDt1) : (cDt2));
});
if (new TimeSpan(Math.Abs((nearestConcurrentData.datetimeUTC - currImgDT).Ticks)) >=
TimeSpanForConcurrentDataMappingTolerance)
{
string strError = "couldn`t find close enough concurrent data file for image:" + Environment.NewLine +
currImgFilename + Environment.NewLine + "closest concurrent data file is:" +
Environment.NewLine + nearestConcurrentData.filename + Environment.NewLine +
"with date-time value " + nearestConcurrentData.datetimeUTC.ToString("o");
Console.WriteLine(strError);
nearestConcurrentData = null;
}
ipdt.concurrentData = nearestConcurrentData;
if (nearestConcurrentData != null)
{
ipdt.concurrentDataXMLfile = nearestConcurrentData.filename;
}
return(ipdt);
});
#endregion mapping
removed = lStatsProcessing.RemoveAll(ipdt => ipdt.concurrentData == null);
Console.WriteLine("removed " + removed + " items (couldn`t find concurrent data). " + lStatsProcessing.Count + " files remains to process.");
#endregion list, read and map concurrent data
}
if (!lStatsProcessing.Any())
{
Console.WriteLine("There is no files that sutisfy settings specified and have all required concurrent data (stats or GPS etc.). Processing will not be proceeded.");
return;
}
#region Filter by SDC values predicting it using pre-trained NN parameters
#region //
//string csvHeader = lStatsProcessing[0].grixyrgbStats.CSVHeader() +
// ",SunElevationDeg,SunAzimuthDeg,sunDiskCondition";
//List<string> lCSVheader = csvHeader.Split(',').ToList();
//List<int> columnsToDelete =
// lCSVheader.Select((str, idx) => new Tuple<int, string>(idx, str))
// .Where(tpl => tpl.Item2.ToLower().Contains("filename")).ToList().ConvertAll(tpl => tpl.Item1);
//List<List<string>> lCalculatedData = lStatsProcessing.ConvertAll(dt =>
//{
// string currImageALLstatsDataCSVWithConcurrentData = dt.grixyrgbStats.ToCSV() + "," +
// dt.concurrentData.gps.SunZenithAzimuth()
// .ElevationAngle.ToString()
// .Replace(",", ".") + "," +
// dt.concurrentData.gps.SunZenithAzimuth()
// .Azimuth.ToString()
// .Replace(",", ".");
// List<string> retVal = currImageALLstatsDataCSVWithConcurrentData.Split(',').ToList();
// retVal = retVal.Where((str, idx) => !columnsToDelete.Contains(idx)).ToList();
// return retVal;
//});
//List<DenseVector> lDV_objects_features =
// lCalculatedData.ConvertAll(
// list =>
// DenseVector.OfEnumerable(list.ConvertAll<double>(str => Convert.ToDouble(str.Replace(".", ",")))));
#endregion
DenseVector dvMeans = (DenseVector)((DenseMatrix)ServiceTools.ReadDataFromCSV(NormMeansFile, 0, ",")).Row(0);
DenseVector dvRanges = (DenseVector)((DenseMatrix)ServiceTools.ReadDataFromCSV(NormRangeFile, 0, ",")).Row(0);
#region //
//lDV_objects_features = lDV_objects_features.ConvertAll(dv =>
//{
// DenseVector dvShifted = dv - dvMeans;
// DenseVector dvNormed = (DenseVector)dvShifted.PointwiseDivide(dvRanges);
// return dvNormed;
//});
//DenseMatrix dmObjectsFeatures = DenseMatrix.OfRowVectors(lDV_objects_features);
#endregion
DenseVector dvThetaValues = (DenseVector)ServiceTools.ReadDataFromCSV(NNtrainedParametersFile, 0, ",");
List <int> NNlayersConfig =
new List <double>(((DenseMatrix)ServiceTools.ReadDataFromCSV(NNconfigFile, 0, ",")).Row(0)).ConvertAll
(dVal => Convert.ToInt32(dVal));
#region //
// List<List<double>> lDecisionProbabilities = null;
#endregion
List <Tuple <ImagesProcessingData, List <SDCdecisionProbability>, SunDiskCondition> > lTplsPredictedSDClist =
new List <Tuple <ImagesProcessingData, List <SDCdecisionProbability>, SunDiskCondition> >();
List <List <double> > SDCdecisionProbabilitiesListDoubles = new List <List <double> >();
List <SunDiskCondition> imagesSDCpredicted = SDCpredictorNN.PredictSDC_NN(lStatsProcessing, NNlayersConfig,
dvThetaValues, dvMeans, dvRanges, out SDCdecisionProbabilitiesListDoubles);
List <List <SDCdecisionProbability> > SDCdecisionProbabilitiesLists =
SDCdecisionProbabilitiesListDoubles.ConvertAll(
currSDCdecisionProbabilities =>
currSDCdecisionProbabilities.Select((dProb, idx) => new SDCdecisionProbability()
{
sdc = SunDiskConditionData.MatlabSDCenum(idx + 1),
sdcDecisionProbability = dProb
}).ToList());
lTplsPredictedSDClist =
lStatsProcessing.Zip(
SDCdecisionProbabilitiesLists.Zip(imagesSDCpredicted,
(lDecProb, sdcPredicted) =>
new Tuple <List <SDCdecisionProbability>, SunDiskCondition>(lDecProb, sdcPredicted)).ToList(),
(ipd, tpl) =>
new Tuple <ImagesProcessingData, List <SDCdecisionProbability>, SunDiskCondition>(ipd, tpl.Item1,
tpl.Item2)).ToList();
#region //
//foreach (ImagesProcessingData dt in lStatsProcessing)
//{
// List<double> currSDCdecisionProbabilities = new List<double>();
// SunDiskCondition currSDC = SDCpredictorNN.PredictSDC_NN(dt.grixyrgbStats, dt.concurrentData,
// NNlayersConfig, dvThetaValues, dvMeans, dvRanges, out currSDCdecisionProbabilities);
// List<SDCdecisionProbability> currSDCdecisionProbabilitiesList = currSDCdecisionProbabilities.Select((dProb, idx) => new SDCdecisionProbability()
// {
// sdc = SunDiskConditionData.MatlabSDCenum(idx + 1),
// sdcDecisionProbability = dProb
// }).ToList();
// lTplsPredictedSDClist.Add(
// new Tuple<ImagesProcessingData, List<SDCdecisionProbability>, SunDiskCondition>(dt,
// currSDCdecisionProbabilitiesList, currSDC));
//}
#endregion
#region //
//List<int> predictedSDC =
// NNclassificatorPredictor.NNpredict(dmObjectsFeatures, dvThetaValues, NNlayersConfig,
// out lDecisionProbabilities).ToList();
//List<SunDiskCondition> predictedSDClist = predictedSDC.ConvertAll(sdcInt =>
//{
// switch (sdcInt)
// {
// case 4:
// return SunDiskCondition.NoSun;
// break;
// case 1:
// return SunDiskCondition.Sun0;
// break;
// case 2:
// return SunDiskCondition.Sun1;
// break;
// case 3:
// return SunDiskCondition.Sun2;
// break;
// default:
// return SunDiskCondition.Defect;
// }
//});
//List<Tuple<ImagesProcessingData, SunDiskCondition>> lTplsPredictedSDClist =
// predictedSDClist.Zip(lStatsProcessing,
// (sdc, ipd) => new Tuple<ImagesProcessingData, SunDiskCondition>(ipd, sdc)).ToList();
#endregion
#region output obtained SDC data to log file
string strToShow = "SDC values probabilities: " + Environment.NewLine +
"| NoSun | Sun0 | Sun1 | Sun2 |" + Environment.NewLine;
foreach (Tuple <ImagesProcessingData, List <SDCdecisionProbability>, SunDiskCondition> tpl in lTplsPredictedSDClist)
{
List <SDCdecisionProbability> currSDCdecisionProbabilitiesList = tpl.Item2;
strToShow += "|" +
String.Format("{0,9}",
(currSDCdecisionProbabilitiesList.First(
prob => prob.sdc == SunDiskCondition.NoSun).sdcDecisionProbability * 100.0d)
.ToString("F2") + "%") + "|" +
String.Format("{0,9}",
(currSDCdecisionProbabilitiesList.First(
prob => prob.sdc == SunDiskCondition.Sun0).sdcDecisionProbability * 100.0d)
.ToString("F2") + "%") + "|" +
String.Format("{0,9}",
(currSDCdecisionProbabilitiesList.First(
prob => prob.sdc == SunDiskCondition.Sun1).sdcDecisionProbability * 100.0d)
.ToString("F2") + "%") + "|" +
String.Format("{0,9}",
(currSDCdecisionProbabilitiesList.First(
prob => prob.sdc == SunDiskCondition.Sun2).sdcDecisionProbability * 100.0d)
.ToString("F2") + "%") + "|" + Environment.NewLine;
}
ServiceTools.logToTextFile(errorLogFilename, strToShow, true, false);
#endregion output obtained SDC data to log file
#region filter by SDC value if needed
if (sdcFilter != SunDiskCondition.Undefined)
{
lStatsProcessing = lStatsProcessing.Where((ipd, idx) => lTplsPredictedSDClist[idx].Item3 == sdcFilter).ToList();
Console.WriteLine("Detected " + lStatsProcessing.Count + " images with SDC = " + sdcFilter.ToString());
}
#endregion filter by SDC value if needed
#endregion Filter by SDC values predicting it using pre-trained NN parameters
#region ObservedCloudCoverDataCSVfile
if (bFilterByObservedCloudCoverRecords)
{
Console.WriteLine("Reading observed cloud cover data CSV file...");
if (!File.Exists(ObservedCloudCoverDataCSVfile))
{
Console.WriteLine("Unable to read observed data CSV file: " + ObservedCloudCoverDataCSVfile);
return;
}
List <List <string> > lCSVfileContents = ServiceTools.ReadDataFromCSV(ObservedCloudCoverDataCSVfile, 1,
true);
if (!lCSVfileContents.Any())
{
Console.WriteLine("The observed cloud cover CSV file seems to be empty: " +
ObservedCloudCoverDataCSVfile);
return;
}
List <ObservedClCoverData> lObservedData =
lCSVfileContents.ConvertAll(lStr => new ObservedClCoverData(lStr));
List <SkyImagesDataWith_Concurrent_Stats_CloudCover_SDC> lImagesFilteredByAvailableObservedData =
new List <SkyImagesDataWith_Concurrent_Stats_CloudCover_SDC>();
#region filter images by available observed data using DateTimeFilterTolerance
Console.WriteLine("Filtering by observed data available...");
foreach (ObservedClCoverData observedData in lObservedData)
{
DateTime currObservedDatumDateTime = observedData.dt;
List <SkyImagesDataWith_Concurrent_Stats_CloudCover_SDC> lImagesCloseToCurrObservedDatum = lStatsProcessing
.Where(ipd =>
{
TimeSpan tspan =
new TimeSpan(
Math.Abs(
(ConventionalTransitions.DateTimeOfSkyImageFilename(ipd.filename) -
currObservedDatumDateTime).Ticks));
return(tspan <= DateTimeFilterTolerance);
})
.ToList()
.ConvertAll(ifd => new SkyImagesDataWith_Concurrent_Stats_CloudCover_SDC()
{
// observedData
// ifd
skyImageFullFileName = ifd.filename,
skyImageFileName = Path.GetFileName(ifd.filename),
currImageDateTime = ConventionalTransitions.DateTimeOfSkyImageFilename(ifd.filename),
observedCloudCoverData = observedData,
concurrentDataXMLfile = ifd.concurrentDataXMLfile,
concurrentData = ifd.concurrentData,
grixyrgbStatsXMLfile = ifd.grixyrgbStatsXMLfile,
grixyrgbStats = ifd.grixyrgbStats,
SDCvalue = lTplsPredictedSDClist.First(tpl => tpl.Item1 == ifd).Item3,
SDCprobabilities = lTplsPredictedSDClist.First(tpl => tpl.Item1 == ifd).Item2
});
lImagesFilteredByAvailableObservedData.AddRange(lImagesCloseToCurrObservedDatum);
}
#endregion filter images by available observed data using DateTimeFilterTolerance
if (!lImagesFilteredByAvailableObservedData.Any())
{
Console.WriteLine(
"There is no images remain after filtering using all available data. Output will be empty.");
}
ServiceTools.WriteObjectToXML(lImagesFilteredByAvailableObservedData, outputDataFile);
#region Сформируем и запишем данные в CSV-файл
// Здесь есть данные по наблюдаемому CloudCover
string csvHeader = lImagesFilteredByAvailableObservedData[0].grixyrgbStats.CSVHeader() +
",SunElevationDeg,SunAzimuthDeg,ObservedTotalCloudCover,ObservedLowerCloudCover,SDC,SDCprobabilityNoSun,SDCprobabilitySun0,SDCprobabilitySun1,SDCprobabilitySun2";
List <string> lCSVoutputData = lImagesFilteredByAvailableObservedData.ConvertAll(ifd =>
{
// все стат. предикторы - как для SDC
// данные CloudCover
string retVal = "";
//ImagesProcessingData dt = tpl.Item2;
//ObservedClCoverData clCov = tpl.Item1;
retVal = ifd.grixyrgbStats.ToCSV() + "," +
ifd.concurrentData.gps.SunZenithAzimuth().ElevationAngle.ToString().Replace(",", ".") + "," +
ifd.concurrentData.gps.SunZenithAzimuth().Azimuth.ToString().Replace(",", ".") + "," +
ifd.observedCloudCoverData.CloudCoverTotal.ToString() + "," +
ifd.observedCloudCoverData.CloudCoverLower.ToString() + "," +
ifd.SDCvalue.ToString() + "," +
ifd.SDCprobabilities.First(prob => prob.sdc == SunDiskCondition.NoSun)
.sdcDecisionProbability.ToString().Replace(",", ".") + "," +
ifd.SDCprobabilities.First(prob => prob.sdc == SunDiskCondition.Sun0)
.sdcDecisionProbability.ToString().Replace(",", ".") + "," +
ifd.SDCprobabilities.First(prob => prob.sdc == SunDiskCondition.Sun1)
.sdcDecisionProbability.ToString().Replace(",", ".") + "," +
ifd.SDCprobabilities.First(prob => prob.sdc == SunDiskCondition.Sun2)
.sdcDecisionProbability.ToString().Replace(",", ".");
return(retVal);
});
string strToOutputToCSVfile = string.Join(Environment.NewLine, lCSVoutputData);
ServiceTools.logToTextFile(outputCSVfile, csvHeader + Environment.NewLine, true, false);
ServiceTools.logToTextFile(outputCSVfile, strToOutputToCSVfile, true, false);
#endregion Сформируем и запишем данные в CSV-файл
}
else
{
ServiceTools.WriteObjectToXML(lStatsProcessing, outputDataFile);
#region Сформируем и запишем данные в CSV-файл
// здесь нет данных по наблюдаемому Cloud Cover
// не надо нам такое. Оставим все это только в виде XML-файла.
#endregion Сформируем и запишем данные в CSV-файл
}
#endregion ObservedCloudCoverDataCSVfile
#endregion Enumerating files and output to XML and CSV file
Console.WriteLine("saved output data to file: " + Environment.NewLine + outputDataFile + Environment.NewLine +
Environment.NewLine);
Console.WriteLine("===FINISHED===");
Console.ReadKey();
}
private void btnProcess_Click(object sender, EventArgs e)
{
string fName = richTextBox1.Text;
if (!File.Exists(fName))
{
theLogWindow = ServiceTools.LogAText(theLogWindow, "couldn`t find a file: " + fName);
return;
}
try
{
xlApp = new Microsoft.Office.Interop.Excel.Application();
xlApp.Visible = true;
wb = xlApp.Workbooks.Open(fName, Type.Missing, false);
ws = wb.Sheets[1];
}
catch (Exception)
{
CloseAll();
}
List <Tuple <int, SunElevationTestDataRecord> > lRecords = new List <Tuple <int, SunElevationTestDataRecord> >();
int rowIdx = 2;
double dDataTimeRead = 0.0d;
while (true)
{
DateTime dtVal;
SunElevationTestDataRecord currRec = new SunElevationTestDataRecord();
System.Windows.Forms.Application.DoEvents();
try
{
Range rngDT = ws.Cells[rowIdx, 1];
var dDataTimeReadValue = rngDT.Value2;
if (dDataTimeReadValue == null)
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"date-time value at row " + rowIdx + " is empty. Stopping reading.");
CloseAll();
break;
}
dDataTimeRead = (double)(dDataTimeReadValue);
if (dDataTimeRead == 0.0d)
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"date-time value at row " + rowIdx + " is empty. Stopping reading.");
CloseAll();
break;
}
}
catch (Exception ex)
{
//CloseAll();
theLogWindow = ServiceTools.LogAText(theLogWindow, "=====================");
theLogWindow = ServiceTools.LogAText(theLogWindow,
ex.Message + Environment.NewLine + "for date-time value at row " + rowIdx);
theLogWindow = ServiceTools.LogAText(theLogWindow, "=====================");
lRecords.Add(new Tuple <int, SunElevationTestDataRecord>(rowIdx, currRec));
rowIdx++;
continue;
}
dtVal = DateTime.FromOADate(dDataTimeRead);
currRec.Dt = dtVal;
double latVal = 0.0d;
try
{
Range rngLat = ws.Cells[rowIdx, 2];
var rngLatVal = rngLat.Value2;
if (rngLatVal == null)
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"latitude value at row " + rowIdx + " is empty");
//rowIdx++;
//continue;
}
else
{
latVal = (double)(rngLatVal);
currRec.latDec = latVal;
}
}
catch (Exception ex)
{
//CloseAll();
theLogWindow = ServiceTools.LogAText(theLogWindow, "=====================");
theLogWindow = ServiceTools.LogAText(theLogWindow,
ex.Message + Environment.NewLine + "for latitude value at row " + rowIdx);
theLogWindow = ServiceTools.LogAText(theLogWindow, "=====================");
lRecords.Add(new Tuple <int, SunElevationTestDataRecord>(rowIdx, currRec));
rowIdx++;
continue;
}
double lonVal = 0.0d;
try
{
Range rngLon = ws.Cells[rowIdx, 3];
var rngLonVal = rngLon.Value2;
if (rngLonVal == null)
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"longitude value at row " + rowIdx + " is empty");
//rowIdx++;
//continue;
}
else
{
lonVal = (double)(rngLonVal);
currRec.lonDec = lonVal;
}
}
catch (Exception ex)
{
//CloseAll();
theLogWindow = ServiceTools.LogAText(theLogWindow, "=====================");
theLogWindow = ServiceTools.LogAText(theLogWindow,
ex.Message + Environment.NewLine + "for longitude value at row " + rowIdx);
theLogWindow = ServiceTools.LogAText(theLogWindow, "=====================");
lRecords.Add(new Tuple <int, SunElevationTestDataRecord>(rowIdx, currRec));
rowIdx++;
continue;
}
double sunAltTestVal = 0.0d;
try
{
Range rngSunAltTest = ws.Cells[rowIdx, 4];
var rngSunAltTestVal = rngSunAltTest.Value2;
if (rngSunAltTestVal == null)
{
theLogWindow = ServiceTools.LogAText(theLogWindow,
"testing sun elevation value at row " + rowIdx + " is empty");
//rowIdx++;
//continue;
}
else
{
sunAltTestVal = (double)(rngSunAltTestVal);
currRec.SunElevTest = sunAltTestVal;
}
}
catch (Exception ex)
{
theLogWindow = ServiceTools.LogAText(theLogWindow, "=====================");
theLogWindow = ServiceTools.LogAText(theLogWindow,
ex.Message + Environment.NewLine + "for read sun elevation value at row " + rowIdx);
theLogWindow = ServiceTools.LogAText(theLogWindow, "=====================");
//CloseAll();
lRecords.Add(new Tuple <int, SunElevationTestDataRecord>(rowIdx, currRec));
rowIdx++;
continue;
}
ThreadSafeOperations.SetText(lblLoadingStatus, "loading " + rowIdx + " row", false);
lRecords.Add(new Tuple <int, SunElevationTestDataRecord>(rowIdx, currRec));
rowIdx++;
}
List <double> lDeviations = new List <double>();
string outFName = Path.GetDirectoryName(fName) + "\\" + Path.GetFileNameWithoutExtension(fName) + "-output.txt";
ServiceTools.logToTextFile(outFName, SunElevationTestDataRecord.TableFieldsHeader() + Environment.NewLine, true);
foreach (Tuple <int, SunElevationTestDataRecord> tpl in lRecords)
{
rowIdx = tpl.Item1;
SunElevationTestDataRecord currRec = tpl.Item2;
if (currRec.WhetherAllValuesHasBeenRead)
{
SPA spaCalc = new SPA(currRec.Dt.Year, currRec.Dt.Month, currRec.Dt.Day, currRec.Dt.Hour,
currRec.Dt.Minute, currRec.Dt.Second, (float)currRec.lonDec, (float)currRec.latDec,
(float)SPAConst.DeltaT(currRec.Dt));
int res = spaCalc.spa_calculate();
AzimuthZenithAngle sunPositionSPAext = new AzimuthZenithAngle(spaCalc.spa.azimuth,
spaCalc.spa.zenith);
currRec.SunElevCalc = sunPositionSPAext.ElevationAngle;
lDeviations.Add(currRec.SunElevCalc - currRec.SunElevTest);
ServiceTools.logToTextFile(outFName, currRec.ToString() + Environment.NewLine, true);
}
else
{
ServiceTools.logToTextFile(outFName, currRec.ToString() + Environment.NewLine, true);
}
}
HistogramDataAndProperties histData = new HistogramDataAndProperties(DenseVector.OfEnumerable(lDeviations), 20);
HistogramCalcAndShowForm histForm = new HistogramCalcAndShowForm("", defaultProperties);
histForm.HistToRepresent = histData;
histForm.Show();
histForm.Represent();
CloseAll();
}
private async Task Run()
{
if (tgrm_token == "")
{
Console.WriteLine("telegram token for channel is not set. Processing will not proceed.");
Console.WriteLine("Finished. Press any key...");
Console.ReadKey();
return;
}
var Bot = new Api(tgrm_token);
var me = await Bot.GetMe();
Console.WriteLine("Hello my name is {0}", me.Username);
var offset = 0;
while (true)
{
var updates = await Bot.GetUpdates(offset);
foreach (var update in updates)
{
if (update.Message.Type == MessageType.TextMessage)
{
if (ServiceTools.CheckIfDirectoryExists(Directory.GetCurrentDirectory() + Path.DirectorySeparatorChar + "logs"))
{
ServiceTools.logToTextFile(logFilename,
"" + update.Message.Chat.Id + " : " + update.Message.Text + Environment.NewLine, true, true);
}
if (update.Message.Text == "/current_image")
{
string FilenameToSend = "";
Image <Bgr, byte> lastImagesCouple = CurrentImagesCouple(out FilenameToSend);
string tmpFNameToSave = Path.GetTempPath();
tmpFNameToSave += (tmpFNameToSave.Last() == Path.DirectorySeparatorChar)
? ("")
: (Path.DirectorySeparatorChar.ToString());
tmpFNameToSave += FilenameToSend;
lastImagesCouple.Save(tmpFNameToSave);
var fileStream = File.Open(tmpFNameToSave, FileMode.Open);
Message sentMessage = await Bot.SendPhoto(update.Message.Chat.Id, new FileToSend(FilenameToSend, fileStream));
File.Delete(tmpFNameToSave);
}
else if (update.Message.Text == "/concurrent_info")
{
string lastConcurrentInfoFileName = GetLastConcurrentInfo();
Message sentMessage =
await
Bot.SendTextMessage(update.Message.Chat.Id, lastConcurrentInfoFileName, true, false,
update.Message.MessageId);
}
else if (update.Message.Text == "/current_cc")
{
Task <string> tskObtainCC = ObtainLastImageCC();
//Message sentMessage1 =
// await
// Bot.SendTextMessage(update.Message.Chat.Id,
// "Started calculations. Be patient please, it may take a few minutes.", true,
// false, update.Message.MessageId);
string strReply = await tskObtainCC;
Message sentMessage2 =
await
Bot.SendTextMessage(update.Message.Chat.Id, strReply, true, false,
update.Message.MessageId);
}
else if (update.Message.Text == "/meteo_info")
{
string strCurrentMeteoParametersString = await ObtainLatestMeteoParameters();
Message sentMessage =
await
Bot.SendTextMessage(update.Message.Chat.Id, strCurrentMeteoParametersString, true, false,
update.Message.MessageId);
}
//else if (update.Message.Text == "/solar_irradiation")
//{
// string strCurrentRadiometersString = await ObtainLatestRadiometersParameters();
// Message sentMessage =
// await
// Bot.SendTextMessage(update.Message.Chat.Id, strCurrentRadiometersString, true, false,
// update.Message.MessageId);
//}
else if (update.Message.Text == "/start")
{
string strStartMessage =
ServiceTools.ReadTextFromFile(Directory.GetCurrentDirectory() +
Path.DirectorySeparatorChar + "settings" +
Path.DirectorySeparatorChar + "BotStartMessage.txt");
Message sentMessage =
await
Bot.SendTextMessage(update.Message.Chat.Id, strStartMessage, true, false,
update.Message.MessageId);
Console.WriteLine("Echo Message: {0}", update.Message.Text);
}
else
{
// await Bot.SendChatAction(update.Message.Chat.Id, ChatAction.Typing);
// await Task.Delay(200);
var t = await Bot.SendTextMessage(update.Message.Chat.Id, "I can`t get your request. Please try again.");
Console.WriteLine("Echo Message: {0}", update.Message.Text);
}
}
if (update.Message.Type == MessageType.PhotoMessage)
{
var file = await Bot.GetFile(update.Message.Photo.LastOrDefault()?.FileId);
Console.WriteLine("Received Photo: {0}", file.FilePath);
var filename = IncomingImagesBasePath + file.FileId + "." + file.FilePath.Split('.').Last();
using (var profileImageStream = File.Open(filename, FileMode.Create))
{
await file.FileStream.CopyToAsync(profileImageStream);
}
Console.WriteLine("Photo saved to: {0}", filename);
if (ServiceTools.CheckIfDirectoryExists(Directory.GetCurrentDirectory() + Path.DirectorySeparatorChar + "logs"))
{
ServiceTools.logToTextFile(logFilename,
"" + update.Message.Chat.Id + " : Received Photo: " + file.FilePath + Environment.NewLine + "\t\tSaved to file: " + filename + Environment.NewLine, true, true);
}
}
offset = update.Id + 1;
}
await Task.Delay(200);
if (NeedToStopFlag)
{
break;
}
}
}
private void CurrFileProcessing(ImagesConvertingData dat)
{
string currentFullFileName = dat.filename;
try
{
List <List <string> > csvFileContents = ServiceTools.ReadDataFromCSV(currentFullFileName, 3, true, ";", Environment.NewLine);
List <double> lCenterXValues = csvFileContents.ConvertAll <double>(lStr => Convert.ToDouble(lStr[1]));
List <double> lCenterYValues = csvFileContents.ConvertAll <double>(lStr => Convert.ToDouble(lStr[2]));
List <double> lRadiiValues = csvFileContents.ConvertAll <double>(lStr => Convert.ToDouble(lStr[3]));
// filter default values
// filteringMarks = "те, которые оставляем"
List <bool> filteringMarks = csvFileContents.ConvertAll <bool>(lStr => true);
if (filterDefaultDoubleValueCenterX > 0.0d)
{
List <bool> filteringMarksAdd = lCenterXValues.ConvertAll <bool>(dVal => dVal != filterDefaultDoubleValueCenterX);
filteringMarks =
(filteringMarks.Zip <bool, bool, bool>(filteringMarksAdd, (bVal1, bVal2) => bVal1 && bVal2))
.ToList();
}
if (filterDefaultDoubleValueCenterY > 0.0d)
{
List <bool> filteringMarksAdd = lCenterYValues.ConvertAll <bool>(dVal => dVal != filterDefaultDoubleValueCenterY);
filteringMarks =
(filteringMarks.Zip <bool, bool, bool>(filteringMarksAdd, (bVal1, bVal2) => bVal1 && bVal2))
.ToList();
}
if (filterDefaultDoubleValueRadius > 0.0d)
{
List <bool> filteringMarksAdd = lRadiiValues.ConvertAll <bool>(dVal => dVal != filterDefaultDoubleValueRadius);
filteringMarks =
(filteringMarks.Zip <bool, bool, bool>(filteringMarksAdd, (bVal1, bVal2) => bVal1 && bVal2))
.ToList();
}
List <int> indexes =
filteringMarks
.Select((val, idx) => new { val, idx })
.Where(x => x.val)
.Select(x => x.idx)
.ToList();
lCenterXValues = lCenterXValues
.Select((dVal, idx) => new { dVal, idx })
.Where(x => indexes.Contains(x.idx))
.Select(x => x.dVal).ToList();
lCenterYValues = lCenterYValues
.Select((dVal, idx) => new { dVal, idx })
.Where(x => indexes.Contains(x.idx))
.Select(x => x.dVal).ToList();
lRadiiValues = lRadiiValues
.Select((dVal, idx) => new { dVal, idx })
.Where(x => indexes.Contains(x.idx))
.Select(x => x.dVal).ToList();
DescriptiveStatistics stats = new DescriptiveStatistics(lCenterXValues, true);
double dCenterXvalue = stats.Mean;
stats = new DescriptiveStatistics(lCenterYValues, true);
double dCenterYvalue = stats.Mean;
stats = new DescriptiveStatistics(lRadiiValues, true);
double dRadiusvalue = stats.Mean;
RoundData rd = new RoundData(dCenterXvalue, dCenterYvalue, dRadiusvalue);
string xmlFilename = Path.GetDirectoryName(currentFullFileName);
xmlFilename += (xmlFilename.Last() == Path.DirectorySeparatorChar)
? ("")
: (Path.DirectorySeparatorChar.ToString());
xmlFilename += Path.GetFileNameWithoutExtension(currentFullFileName) + "-RoundImagemask.xml";
ServiceTools.WriteObjectToXML(rd, xmlFilename);
Console.WriteLine("finished processing file " + Environment.NewLine + currentFullFileName);
}
catch (Exception ex)
{
#region report
#if DEBUG
Console.WriteLine("exception has been thrown: " + ex.Message + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription());
#else
ServiceTools.logToTextFile(errorLogFilename,
"exception has been thrown: " + ex.Message + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription(), true, true);
#endif
#endregion report
}
}
private void btnPerformExport_Click(object sender, EventArgs e)
{
string outPath = rtbExportDestinationDirectoryPath.Text;
outPath += (outPath.Last() == '\\') ? ("") : ("\\");
if (cbExportMeteoData.Checked)
{
//export meteo data
BackgroundWorker bgwReadMeteoData = new BackgroundWorker();
bgwReadMeteoData.WorkerSupportsCancellation = false;
bgwReadMeteoData.WorkerReportsProgress = true;
bgwReadMeteoData.DoWork += delegate(object currBGWsender, DoWorkEventArgs args)
{
BackgroundWorker selfWorker = currBGWsender as BackgroundWorker;
TimeSeries <MeteoData> tsMeteoData = new TimeSeries <MeteoData>();
string[] meteoDataFiles = Directory.GetFiles(Directory.GetCurrentDirectory() + "\\logs\\",
"*MeteoDataLog*.nc");
int totalFilesCount = meteoDataFiles.Count();
int readFiles = 0;
foreach (string meteoDataFileName in meteoDataFiles)
{
ThreadSafeOperations.SetText(lblStatusBar, "reading " + Path.GetFileName(meteoDataFileName), false);
Dictionary <string, object> currMeteoFileData =
NetCDFoperations.ReadDataFromFile(meteoDataFileName);
List <MeteoData> currFileMeteoData =
MeteoData.OfDenseMatrix(currMeteoFileData["MeteoData"] as DenseMatrix);
List <long> currFileDatetimeLong = new List <long>(currMeteoFileData["DateTime"] as long[]);
List <DateTime> currFileDatetime =
currFileDatetimeLong.ConvertAll <DateTime>(longDT => new DateTime(longDT));
tsMeteoData.AddSubseriaData(currFileMeteoData, currFileDatetime, true);
readFiles++;
selfWorker.ReportProgress(Convert.ToInt32(100.0d * readFiles / totalFilesCount));
}
args.Result = new object[] { tsMeteoData };
};
bgwReadMeteoData.ProgressChanged += delegate(object currBGWsender, ProgressChangedEventArgs args)
{
ThreadSafeOperations.UpdateProgressBar(prbExportProgress, args.ProgressPercentage);
};
bgwReadMeteoData.RunWorkerCompleted += delegate(object currBGWsender, RunWorkerCompletedEventArgs args)
{
ThreadSafeOperations.UpdateProgressBar(prbExportProgress, 0);
TimeSeries <MeteoData> tsMeteoData = (args.Result as object[])[0] as TimeSeries <MeteoData>;
List <Tuple <DateTime, MeteoData> > lTplMeteoData =
tsMeteoData.TimeStamps.Zip(tsMeteoData.DataValues,
(dt, dat) => new Tuple <DateTime, MeteoData>(dt, dat)).ToList();
if (cbExportFormatCSV.Checked)
{
List <string> tsMeteoDataCSV = lTplMeteoData.ConvertAll <string>(tpl => tpl.Item1.ToString("o") + "," + tpl.Item2.ToCSV());
string tsMeteoDataCSVForFile = String.Join(Environment.NewLine, tsMeteoDataCSV.ToArray <string>());
ServiceTools.logToTextFile(outPath + "MeteoData.csv", "DateTime," + lTplMeteoData[0].Item2.CSVHeader() + Environment.NewLine, false, false);
ServiceTools.logToTextFile(outPath + "MeteoData.csv", tsMeteoDataCSVForFile, true, false);
}
};
ThreadSafeOperations.SetText(lblStatusBar, "meteo data read started", false);
bgwReadMeteoData.RunWorkerAsync();
}
}
private void btnProcessAccelerationTimeSeries_Click(object sender, EventArgs e)
{
if ((bgwCalculate != null) && (bgwCalculate.IsBusy))
{
bgwCalculate.CancelAsync();
return;
}
//simpleMultipleImagesShow imagesRepresentingForm = new simpleMultipleImagesShow();
//imagesRepresentingForm.Show();
DoWorkEventHandler bgwCalculate_DoWorkHandler = delegate(object currBGWsender, DoWorkEventArgs args)
{
BackgroundWorker selfWorker = currBGWsender as BackgroundWorker;
//simpleMultipleImagesShow multImagesRepresentingForm = (simpleMultipleImagesShow)((args.Argument as object[])[0]);
//Type theShowImagesType = multImagesRepresentingForm.GetType();
//MethodInfo thePicturePlacingMethodInfo = theShowImagesType.GetMethod("PlaceAPicture");
int imageRepresentingCounter = 0;
DateTime dbgDT = new DateTime(2014, 7, 9, 9, 0, 0);
dbgDT = dbgDT.AddMinutes(33);
DateTime dtSeriesStart = accSubseries[0].StartTime;
double tsOverallSeriesDurationMillisec = (accSubseries[accSubseries.Count - 1].EndTime - accSubseries[0].StartTime).TotalMilliseconds;
string strToWrite = " fileName ; lat ; lon ; date ; time ; time(s) since start ; period(s) ; spectrum amplitude";
ServiceTools.logToTextFile(strOutputDirectory + "\\100sData-spectra-maximums.dat", strToWrite + Environment.NewLine, true);
foreach (TimeSeries <double> accSubseria in accSubseries)
{
if (selfWorker.CancellationPending)
{
break;
}
int startindex = 0;
while (true)
{
int endIndex;
if (selfWorker.CancellationPending)
{
break;
}
TimeSeries <double> currTimeSeria = accSubseria.SubSeria(startindex, new TimeSpan(1000000000),
out endIndex); //100s
currTimeSeria = currTimeSeria.InterpolateSeria(new TimeSpan(500000));
currTimeSeria = currTimeSeria.ExtractDataDeviationValues();
//обработать и оценить наличие выраженных периодов
Complex[] sourceSignalArray = currTimeSeria.DataRealValuesComplexArray();
Fourier.Forward(sourceSignalArray);
//Transform.FourierForward(sourceSignalArray);
List <Complex> FourierTransformedSignal = new List <Complex>(sourceSignalArray);
List <double> FourierTransformedSignalAmplitudes =
FourierTransformedSignal.ConvertAll <double>(
cVal =>
((double.IsNaN(cVal.Magnitude)) || (double.IsInfinity(cVal.Magnitude)))
? (0.0d)
: (cVal.Magnitude));
List <double> FourierTransformedSignalPeriods = new List <double>();
for (int ind = 0; ind < FourierTransformedSignalAmplitudes.Count; ind++)
{
FourierTransformedSignalPeriods.Add(currTimeSeria.TotalSeriaDuration.TotalSeconds /
(double)ind);
}
FourierTransformedSignalAmplitudes =
new List <double>(
FourierTransformedSignalAmplitudes.Zip <double, double, double>(
FourierTransformedSignalPeriods,
(amp, periodSec) =>
((double.IsNaN(periodSec)) || (double.IsInfinity(periodSec))) ? (0.0d) : (amp)));
FourierTransformedSignalPeriods =
FourierTransformedSignalPeriods.ConvertAll <double>(
dval => ((double.IsNaN(dval)) || (double.IsInfinity(dval))) ? (0.0d) : (dval));
//проанализируем этот участок - есть ли выраженные пики по амплитуде конкретных частот
//найти максимум в спектре и выдать данные об этом максимуме в файл
// сначала отфильтруем периоды меньше 1с - для данных по динамике судна они несущественны
FourierTransformedSignalAmplitudes =
new List <double>(
FourierTransformedSignalAmplitudes.Zip <double, double, double>(
FourierTransformedSignalPeriods,
(amp, periodSec) => (periodSec <= 1.0d) ? (0.0d) : (amp)));
FourierTransformedSignalPeriods =
FourierTransformedSignalPeriods.ConvertAll <double>(dVal => (dVal <= 1.0d) ? (0.0d) : (dVal));
DescriptiveStatistics currAmpsStat =
new DescriptiveStatistics(FourierTransformedSignalAmplitudes);
List <double> lAmpsOutstanding = FourierTransformedSignalAmplitudes.ConvertAll <double>(dVal =>
{
if (dVal / currAmpsStat.Mean >= 100.0d)
{
return(dVal);
}
return(0.0d);
});
List <double> lPeriodsOutstanding =
new List <double>(FourierTransformedSignalPeriods.Zip <double, double, double>(lAmpsOutstanding,
(per, amp) => (amp == 0.0d) ? (0.0d) : (per)));
if (lAmpsOutstanding.Sum() > 0.0d)
{
MultipleScatterAndFunctionsRepresentation renderer =
new MultipleScatterAndFunctionsRepresentation(2048, 1536);
renderer.dvScatterXSpace.Add(currTimeSeria.TimeStampsValuesSeconds);
renderer.dvScatterFuncValues.Add(currTimeSeria.dvDoubleDataValues);
renderer.scatterLineColors.Add(new Bgr(255, 50, 50));
renderer.scatterDrawingVariants.Add(SequencesDrawingVariants.polyline);
renderer.dvScatterXSpace.Add(DenseVector.OfEnumerable(FourierTransformedSignalPeriods));
renderer.dvScatterFuncValues.Add(DenseVector.OfEnumerable(FourierTransformedSignalAmplitudes));
renderer.scatterLineColors.Add(new Bgr(50, 255, 50));
renderer.scatterDrawingVariants.Add(SequencesDrawingVariants.squares);
renderer.dvScatterXSpace.Add(DenseVector.OfEnumerable(lPeriodsOutstanding));
renderer.dvScatterFuncValues.Add(DenseVector.OfEnumerable(lAmpsOutstanding));
renderer.scatterLineColors.Add(new Bgr(50, 50, 255));
renderer.scatterDrawingVariants.Add(SequencesDrawingVariants.circles);
renderer.Represent();
if (strOutputDirectory != "")
{
double maxAmp = lAmpsOutstanding.Max();
int idx = lAmpsOutstanding.FindIndex(dval => dval == maxAmp);
double maxAmpPeriod = lPeriodsOutstanding[idx];
GPSdata gpsMark = gpsSeriaData.GetMostClose(currTimeSeria.StartTime).Item2;
string fName = currTimeSeria.StartTime.ToString("s").Replace(":", "-") +
"-100sData-spectrum.jpg";
renderer.SaveToImage(strOutputDirectory + "\\" + fName, true);
strToWrite = "" + fName + " ; ";
strToWrite += gpsMark.LatDec + " ; ";
strToWrite += gpsMark.LonDec + " ; ";
strToWrite += currTimeSeria.StartTime.Date.ToString("yyyy-MM-dd") + " ; ";
strToWrite += currTimeSeria.StartTime.ToString("HH-mm-ss") + " ; ";
strToWrite += (currTimeSeria.StartTime - dtSeriesStart).TotalSeconds + " ; ";
strToWrite += maxAmpPeriod.ToString() + " ; ";
strToWrite += maxAmp.ToString() + " ; ";
ServiceTools.logToTextFile(strOutputDirectory + "\\100sData-spectra-maximums.dat", strToWrite + Environment.NewLine, true);
ThreadSafeOperations.SetText(lblStatusString, "processing: " + currTimeSeria.StartTime.ToString("s"), false);
}
}
if ((currTimeSeria.StartTime >= dbgDT) || (currTimeSeria.EndTime >= dbgDT))
{
startindex++;
startindex--;
}
if (endIndex == accSubseria.Count - 1)
{
break;
}
Application.DoEvents();
selfWorker.ReportProgress(Convert.ToInt32(100.0d * (currTimeSeria.EndTime - dtSeriesStart).TotalMilliseconds / tsOverallSeriesDurationMillisec));
startindex += Convert.ToInt32((endIndex - startindex) / 2.0d);
}
}
};
RunWorkerCompletedEventHandler bgwCalculate_CompletedHandler = delegate(object currBGWCompletedSender, RunWorkerCompletedEventArgs args)
{
ThreadSafeOperations.ToggleButtonState(btnProcessAccelerationTimeSeries, true, "Process acceleration timeseries", false);
};
ProgressChangedEventHandler bgwCalculate_ProgressChanged = delegate(object bgwDataReaderSender, ProgressChangedEventArgs args)
{
ThreadSafeOperations.UpdateProgressBar(prbReadingProcessingData, args.ProgressPercentage);
};
ThreadSafeOperations.ToggleButtonState(btnProcessAccelerationTimeSeries, true, "STOP", true);
bgwCalculate = new BackgroundWorker();
bgwCalculate.WorkerSupportsCancellation = true;
bgwCalculate.WorkerReportsProgress = true;
bgwCalculate.DoWork += bgwCalculate_DoWorkHandler;
bgwCalculate.RunWorkerCompleted += bgwCalculate_CompletedHandler;
bgwCalculate.ProgressChanged += bgwCalculate_ProgressChanged;
//object[] bgwCalculateArgs = new object[] { imagesRepresentingForm };
object[] bgwCalculateArgs = new object[] { };
bgwCalculate.RunWorkerAsync(bgwCalculateArgs);
}
//private void ImageProcessing(ImagesProcessingData ipdt)
//{
//}
private void EnumerateFilesToProcess()
{
string directory = Path.GetDirectoryName(inputBasePath);
string filemask = "*.jpg";
List <string> filesList =
new List <string>(Directory.EnumerateFiles(directory, filemask,
bEnumerateFilesRecursively ? SearchOption.AllDirectories : SearchOption.TopDirectoryOnly));
#region filter by camID
//...devID1.jpg
string ptrnCamID = "devid" + CamIDtoProcess + ".jpg";
filesList = filesList.Where(fname => fname.ToLower().Contains(ptrnCamID)).ToList();
#endregion
Console.WriteLine("found " + filesList.Count + " images.");
#region list, read and map image stats files
Console.WriteLine("filtering by ready-to-use GrIxYRGB XML files...");
List <string> statsFilesList =
new List <string>(Directory.EnumerateFiles(imageYRGBstatsXMLdataFilesDirectory, ConventionalTransitions.ImageGrIxYRGBstatsFileNamesPattern(),
bEnumerateFilesRecursively ? SearchOption.AllDirectories : SearchOption.TopDirectoryOnly));
List <string> statsFilesListWOpath = statsFilesList.ConvertAll(Path.GetFileName);
Console.WriteLine("found " + statsFilesList.Count + " XML stats files in directory " + Environment.NewLine +
imageYRGBstatsXMLdataFilesDirectory + Environment.NewLine + "by mask " +
Environment.NewLine + ConventionalTransitions.ImageGrIxYRGBstatsFileNamesPattern());
int removed =
filesList.RemoveAll(
fname =>
!statsFilesListWOpath.Contains(ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(fname, "",
false)));
Console.WriteLine("removed " + removed + " items (couldn`t find stats data files). Remains " + filesList.Count + " to process.");
if (!filesList.Any())
{
Console.WriteLine("There is no " + filemask + " files that sutisfy settings specified. Processing will not be started.");
return;
}
lStatsProcessing = filesList.ConvertAll(strImgFname =>
{
ImagesProcessingData retVal = new ImagesProcessingData()
{
filename = strImgFname
};
return(retVal);
});
#if DEBUG
//lStatsProcessing = lStatsProcessing.Where((ipd, ind) => ind < 10).ToList();
#endif
Console.WriteLine("started reading and mapping stats data");
int totalFilesCountToRead = lStatsProcessing.Count;
int filesRead = 0;
int currProgressPerc = 0;
foreach (ImagesProcessingData ipdt in lStatsProcessing)
{
ipdt.grixyrgbStatsXMLfile =
statsFilesList.First(
statsFname =>
statsFname.Contains(ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(ipdt.filename, "",
false)));
ipdt.grixyrgbStats =
ServiceTools.ReadObjectFromXML(ipdt.grixyrgbStatsXMLfile, typeof(SkyImageIndexesStatsData)) as
SkyImageIndexesStatsData;
#region calculate and report progress
filesRead++;
double progress = 100.0d * (double)filesRead / (double)totalFilesCountToRead;
if (progress - (double)currProgressPerc > 1.0d)
{
currProgressPerc = Convert.ToInt32(progress);
Console.WriteLine("read " + currProgressPerc + "%");
}
#endregion calculate and report progress
}
#endregion
#region list, read and map concurrent data
List <string> concurrentDataFilesList =
Directory.EnumerateFiles(ConcurrentDataXMLfilesDirectory,
ConventionalTransitions.ImageConcurrentDataFilesNamesPattern(),
bEnumerateFilesRecursively ? SearchOption.AllDirectories : SearchOption.TopDirectoryOnly).ToList();
List <ConcurrentData> lConcurrentData = null;
#region reading
Console.WriteLine("started concurrent data reading");
totalFilesCountToRead = concurrentDataFilesList.Count;
filesRead = 0;
currProgressPerc = 0;
List <Dictionary <string, object> > lDictionariesConcurrentData =
new List <Dictionary <string, object> >();
foreach (string strConcDataXMLFile in concurrentDataFilesList)
{
Dictionary <string, object> currDict = ServiceTools.ReadDictionaryFromXML(strConcDataXMLFile);
currDict.Add("XMLfileName", Path.GetFileName(strConcDataXMLFile));
lDictionariesConcurrentData.Add(currDict);
#region calculate and report progress
filesRead++;
double progress = 100.0d * (double)filesRead / (double)totalFilesCountToRead;
if (progress - (double)currProgressPerc > 1.0d)
{
currProgressPerc = Convert.ToInt32(progress);
Console.WriteLine("read " + currProgressPerc + "%");
}
#endregion calculate and report progress
}
lDictionariesConcurrentData.RemoveAll(dict => dict == null);
lConcurrentData =
lDictionariesConcurrentData.ConvertAll <ConcurrentData>(dict =>
{
ConcurrentData retVal = null;
try
{
retVal = new ConcurrentData(dict);
}
catch (Exception ex)
{
string strError = "couldn`t parse XML file " + dict["XMLfileName"] + " : " +
Environment.NewLine + ex.Message;
Console.WriteLine(strError);
}
return(retVal);
});
lConcurrentData.RemoveAll(val => val == null);
#endregion reading
#region mapping
// map obtained concurrent data to images by its datetime
Console.WriteLine("concurrent data mapping started");
lStatsProcessing = lStatsProcessing.ConvertAll(ipdt =>
{
string currImgFilename = ipdt.filename;
currImgFilename = Path.GetFileNameWithoutExtension(currImgFilename);
string ptrn = @"(devID\d)";
Regex rgxp = new Regex(ptrn, RegexOptions.IgnoreCase);
string strCurrImgDT = rgxp.Replace(currImgFilename.Substring(4), "");
//2015-12-16T06-01-38
strCurrImgDT = strCurrImgDT.Substring(0, 11) + strCurrImgDT.Substring(11).Replace("-", ":");
DateTime currImgDT = DateTime.Parse(strCurrImgDT, null,
System.Globalization.DateTimeStyles.AdjustToUniversal);
ConcurrentData nearestConcurrentData = lConcurrentData.Aggregate((cDt1, cDt2) =>
{
TimeSpan tspan1 = new TimeSpan(Math.Abs((cDt1.datetimeUTC - currImgDT).Ticks));
TimeSpan tspan2 = new TimeSpan(Math.Abs((cDt2.datetimeUTC - currImgDT).Ticks));
return((tspan1 <= tspan2) ? (cDt1) : (cDt2));
});
if (new TimeSpan(Math.Abs((nearestConcurrentData.datetimeUTC - currImgDT).Ticks)) >=
TimeSpanForConcurrentDataMappingTolerance)
{
string strError = "couldn`t find close enough concurrent data file for image:" + Environment.NewLine +
currImgFilename + Environment.NewLine + "closest concurrent data file is:" +
Environment.NewLine + nearestConcurrentData.filename + Environment.NewLine +
"with date-time value " + nearestConcurrentData.datetimeUTC.ToString("o");
Console.WriteLine(strError);
nearestConcurrentData = null;
}
ipdt.concurrentData = nearestConcurrentData;
if (nearestConcurrentData != null)
{
ipdt.concurrentDataXMLfile = nearestConcurrentData.filename;
}
return(ipdt);
});
#endregion mapping
removed = lStatsProcessing.RemoveAll(ipdt => ipdt.concurrentData == null);
Console.WriteLine("removed " + removed + " items (couldn`t find concurrent data). " + lStatsProcessing.Count + " files remains to process.");
#endregion list, read and map concurrent data
if (!lStatsProcessing.Any())
{
Console.WriteLine("There is no files that sutisfy settings specified and have all required concurrent data (stats or GPS etc.). Processing will not be proceeded.");
return;
}
#region Predict SDC values using pre-trained NN parameters
string csvHeader = lStatsProcessing[0].grixyrgbStats.CSVHeader() +
",SunElevationDeg,SunAzimuthDeg,sunDiskCondition";
List <string> lCSVheader = csvHeader.Split(',').ToList();
List <int> columnsToDelete =
lCSVheader.Select((str, idx) => new Tuple <int, string>(idx, str))
.Where(tpl => tpl.Item2.ToLower().Contains("filename")).ToList().ConvertAll(tpl => tpl.Item1);
List <List <string> > lCalculatedData = lStatsProcessing.ConvertAll(dt =>
{
string currImageALLstatsDataCSVWithConcurrentData = dt.grixyrgbStats.ToCSV() + "," +
dt.concurrentData.gps.SunZenithAzimuth()
.ElevationAngle.ToString()
.Replace(",", ".") + "," +
dt.concurrentData.gps.SunZenithAzimuth()
.Azimuth.ToString()
.Replace(",", ".");
List <string> retVal = currImageALLstatsDataCSVWithConcurrentData.Split(',').ToList();
retVal = retVal.Where((str, idx) => !columnsToDelete.Contains(idx)).ToList();
return(retVal);
});
List <DenseVector> lDV_objects_features =
lCalculatedData.ConvertAll(
list =>
DenseVector.OfEnumerable(list.ConvertAll <double>(str => Convert.ToDouble(str.Replace(".", ",")))));
DenseVector dvMeans = (DenseVector)((DenseMatrix)ServiceTools.ReadDataFromCSV(NormMeansFile, 0, ",")).Row(0);
DenseVector dvRanges = (DenseVector)((DenseMatrix)ServiceTools.ReadDataFromCSV(NormRangeFile, 0, ",")).Row(0);
lDV_objects_features = lDV_objects_features.ConvertAll(dv =>
{
DenseVector dvShifted = dv - dvMeans;
DenseVector dvNormed = (DenseVector)dvShifted.PointwiseDivide(dvRanges);
return(dvNormed);
});
DenseMatrix dmObjectsFeatures = DenseMatrix.OfRowVectors(lDV_objects_features);
DenseVector dvThetaValues = (DenseVector)ServiceTools.ReadDataFromCSV(NNtrainedParametersFile, 0, ",");
List <int> NNlayersConfig =
new List <double>(((DenseMatrix)ServiceTools.ReadDataFromCSV(NNconfigFile, 0, ",")).Row(0)).ConvertAll
(dVal => Convert.ToInt32(dVal));
List <List <double> > lDecisionProbabilities = null;
List <SunDiskCondition> predictedSDClist =
NNclassificatorPredictor <SunDiskCondition> .NNpredict(dmObjectsFeatures, dvThetaValues, NNlayersConfig,
out lDecisionProbabilities, SunDiskConditionData.MatlabEnumeratedSDCorderedList()).ToList();
//List<SunDiskCondition> predictedSDClist = predictedSDC.ConvertAll(sdcInt =>
//{
// switch (sdcInt)
// {
// case 4:
// return SunDiskCondition.NoSun;
// break;
// case 1:
// return SunDiskCondition.Sun0;
// break;
// case 2:
// return SunDiskCondition.Sun1;
// break;
// case 3:
// return SunDiskCondition.Sun2;
// break;
// default:
// return SunDiskCondition.Defect;
// }
//});
string strToShow = "SDC values probabilities: " + Environment.NewLine +
"| No Sun | Sun_0 | Sun_1 | Sun_2 | Detected |" + Environment.NewLine;
foreach (List <double> lDecisionProbability in lDecisionProbabilities)
{
strToShow += "| " + lDecisionProbability[3].ToString("F4") +
" | " + lDecisionProbability[0].ToString("F4") +
" | " + lDecisionProbability[1].ToString("F4") +
" | " + lDecisionProbability[2].ToString("F4") + " |" +
predictedSDClist[lDecisionProbabilities.IndexOf(lDecisionProbability)] + "|" +
Environment.NewLine;
}
ServiceTools.logToTextFile(errorLogFilename, strToShow, true, false);
#endregion
//lStatsProcessing =
// lStatsProcessing.Where((ipd, idx) => predictedSDClist[idx] == SunDiskCondition.Sun2).ToList();
lStatsProcessing =
lStatsProcessing.Where((ipd, idx) => predictedSDClist[idx] == sdcFilter).ToList();
Console.WriteLine("Detected " + lStatsProcessing.Count + " images with SDC = " + sdcFilter.ToString());
if (!lStatsProcessing.Any())
{
Console.WriteLine("There is no files with SDC = Sun2. Processing will not be proceeded.");
return;
}
Console.WriteLine("finished enumerating and filtering files. Files to process: " + lStatsProcessing.Count);
}
private void ProcessImage(ImageStatsCollectingData srcData)
{
Interlocked.Increment(ref totalFilesProcessed);
int perc = Convert.ToInt32(100.0d * (double)totalFilesProcessed / (double)totalFilesCountToProcess);
Console.WriteLine(DateTime.Now.ToString("s") + " : " + perc + "% : started processing file " + Environment.NewLine + srcData.filename);
Dictionary <string, object> optionalParameters = new Dictionary <string, object>();
optionalParameters.Add("ImagesRoundMasksXMLfilesMappingList", ImagesRoundMasksXMLfilesMappingList);
Stopwatch sw = new Stopwatch();
sw.Start();
optionalParameters.Add("Stopwatch", sw);
optionalParameters.Add("logFileName", errorLogFilename);
ImageStatsDataCalculationResult currImageProcessingResult =
ImageProcessing.CalculateImageStatsData(srcData.filename, optionalParameters);
currImageProcessingResult.stopwatch.Stop();
if (currImageProcessingResult.calcResult)
{
string currentFullFileName = currImageProcessingResult.imgFilename;
string strPerfCountersData = currentFullFileName + ";" +
currImageProcessingResult.stopwatch.ElapsedMilliseconds + ";" +
(currImageProcessingResult.procTotalProcessorTimeEnd -
currImageProcessingResult.procTotalProcessorTimeStart).TotalMilliseconds +
Environment.NewLine;
ServiceTools.logToTextFile(strPerformanceCountersStatsFile, strPerfCountersData, true);
//string strImageGrIxMedianP5DataFileName =
// ConventionalTransitions.ImageGrIxMedianP5DataFileName(currentFullFileName, imageMP5statsXMLdataFilesDirectory);
//ServiceTools.WriteObjectToXML(currImageProcessingResult.mp5Result, strImageGrIxMedianP5DataFileName);
string strImageGrIxYRGBDataFileName =
ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(currentFullFileName, imageYRGBstatsXMLdataFilesDirectory, true, currPath2Process);
ServiceTools.WriteObjectToXML(currImageProcessingResult.grixyrgbStatsData, strImageGrIxYRGBDataFileName);
ImageStatsCollectingData foundDataObj =
lStatsCalculation.Find(obj => obj.filename == currentFullFileName);
foundDataObj.State = ImageStatsCollectingState.Finished;
foundDataObj.GrIxMedianValue = currImageProcessingResult.mp5Result.GrIxStatsMedian;
foundDataObj.GrIxPerc5Value = currImageProcessingResult.mp5Result.GrIxStatsPerc5;
Console.WriteLine(DateTime.Now.ToString("s") + " : finished processing file " + Environment.NewLine + currentFullFileName);
}
else
{
string currentFullFileName = currImageProcessingResult.imgFilename;
ImageStatsCollectingData foundDataObj =
lStatsCalculation.Find(obj => obj.filename == currentFullFileName);
foundDataObj.State = ImageStatsCollectingState.Error;
Console.WriteLine("ERROR processing file " + Path.GetFileName(currentFullFileName));
try
{
//report full error to error log file
#region report error
#if (DEBUG && MONO)
ServiceTools.logToTextFile(errorLogFilename,
"Error processing file: " + Environment.NewLine + currentFullFileName +
Environment.NewLine + "messages: " +
ServiceTools.GetExceptionMessages(currImageProcessingResult.exception) + Environment.NewLine +
"Stack trace: " + Environment.NewLine +
Environment.StackTrace + Environment.NewLine + Environment.NewLine, true, true);
#else
#if MONO
ServiceTools.logToTextFile(errorLogFilename,
"Error processing file: " + Environment.NewLine + currentFullFileName +
Environment.NewLine + "messages: " +
ServiceTools.GetExceptionMessages(currImageProcessingResult.exception) + Environment.NewLine +
"Stack trace: " + Environment.NewLine +
Environment.StackTrace + Environment.NewLine + Environment.NewLine, true, true);
#else
ServiceTools.logToTextFile(errorLogFilename,
"Error processing file: " + Environment.NewLine + currentFullFileName +
Environment.NewLine + "message: " +
ServiceTools.GetExceptionMessages(currImageProcessingResult.exception) + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription() + Environment.NewLine + "Stack trace: " + Environment.NewLine +
Environment.StackTrace + Environment.NewLine + Environment.NewLine, true, true);
#endif
#endif
#endregion report error
}
catch (Exception ex)
{
return;
}
}
}
private async void ConvertImage(ImageStatsCollectingData srcData)
{
Interlocked.Increment(ref totalFilesProcessed);
int perc = Convert.ToInt32(100.0d * (double)totalFilesProcessed / (double)totalFilesCountToProcess);
Console.WriteLine(DateTime.Now.ToString("s") + " : " + perc + "% : started processing file " + Environment.NewLine + srcData.filename);
Dictionary <string, object> taskParameters = new Dictionary <string, object>();
foreach (string key in defaultProperties.Keys)
{
taskParameters.Add(key, defaultProperties[key]);
}
Stopwatch sw = new Stopwatch();
sw.Start();
taskParameters.Add("Stopwatch", sw);
taskParameters.Add("logFileName", errorLogFilename);
taskParameters.Add("currentFullFileName", srcData.filename);
ImageStatsDataCalculationResult currImageConversionResult = await ConvertImageTask(taskParameters);
#region process result
currImageConversionResult.stopwatch.Stop();
if (currImageConversionResult.calcResult)
{
string currentFullFileName = currImageConversionResult.imgFilename;
string strPerfCountersData = currentFullFileName + ";" +
currImageConversionResult.stopwatch.ElapsedMilliseconds + ";" +
(currImageConversionResult.procTotalProcessorTimeEnd -
currImageConversionResult.procTotalProcessorTimeStart).TotalMilliseconds +
Environment.NewLine;
ServiceTools.logToTextFile(strPerformanceCountersStatsFile, strPerfCountersData, true);
ImageStatsCollectingData foundDataObj =
lStatsCalculation.Find(obj => obj.filename == currentFullFileName);
foundDataObj.State = ImageStatsCollectingState.Finished;
Console.WriteLine(DateTime.Now.ToString("s") + " : finished processing file " + Environment.NewLine + currentFullFileName);
}
else
{
string currentFullFileName = currImageConversionResult.imgFilename;
ImageStatsCollectingData foundDataObj =
lStatsCalculation.Find(obj => obj.filename == currentFullFileName);
foundDataObj.State = ImageStatsCollectingState.Error;
Console.WriteLine("ERROR processing file " + Path.GetFileName(currentFullFileName));
try
{
#region report error
ServiceTools.logToTextFile(errorLogFilename,
"Error processing file: " + Environment.NewLine + currentFullFileName +
Environment.NewLine + "message: " +
ServiceTools.GetExceptionMessages(currImageConversionResult.exception) + Environment.NewLine +
ServiceTools.CurrentCodeLineDescription() + Environment.NewLine + "Stack trace: " + Environment.NewLine +
Environment.StackTrace + Environment.NewLine + Environment.NewLine, true, true);
#endregion report error
}
catch (Exception ex)
{
return;
}
}
#endregion process result
}
private void Bot_OnMessage(object sender, Telegram.Bot.Args.MessageEventArgs e)
{
Message currMsg = e.Message;
if (currMsg.Type == MessageType.TextMessage)
{
Console.WriteLine("{0} from {1} ({2})", currMsg.Text, currMsg.Chat.Id, currMsg.Chat.Username);
if (ServiceTools.CheckIfDirectoryExists(Directory.GetCurrentDirectory() + Path.DirectorySeparatorChar + "logs"))
{
ServiceTools.logToTextFile(logFilename,
"" + currMsg.Chat.Id + " (" + currMsg.Chat.Username + ") : " + currMsg.Text + Environment.NewLine, true, true);
}
if ((currMsg.Text == "/current_image") || (currMsg.Text == "Image"))
{
Task <string> taskA = Task.Run(() => CurrentImagesCoupleImageFilename());
Task continuation = taskA.ContinueWith(antecedent =>
{
string FilenameToSend = antecedent.Result;
var fileStream = File.Open(FilenameToSend, FileMode.Open, FileAccess.Read, FileShare.Read);
Bot.SendPhotoAsync(currMsg.Chat.Id, new FileToSend(FilenameToSend, fileStream));
});
}
else if ((currMsg.Text == "/concurrent_info") || (currMsg.Text == "Info"))
{
Task <string> taskA = Task.Run(() => ReadLastConcurrentInfo());
Task continuation = taskA.ContinueWith(antecedent =>
{
string strReply = antecedent.Result;
Bot.SendTextMessageAsync(currMsg.Chat.Id, strReply, true, false,
currMsg.MessageId, BasicKeyboard());
});
}
else if ((currMsg.Text == "/current_cc") || (currMsg.Text == "TCC_SDC"))
{
Task <string> taskA = Task.Run(ReadCurrentCCinfo);
Task continuation = taskA.ContinueWith(antecedent =>
{
string strReply = antecedent.Result;
Bot.SendTextMessageAsync(currMsg.Chat.Id, strReply, true, false,
currMsg.MessageId, BasicKeyboard());
});
}
else if ((currMsg.Text == "/meteo_info") || (currMsg.Text == "Meteo"))
{
Task <string> taskA = Task.Run(ObtainLatestMeteoParameters);
Task continuation = taskA.ContinueWith(antecedent =>
{
string strReply = antecedent.Result;
Bot.SendTextMessageAsync(currMsg.Chat.Id, strReply, true, false,
currMsg.MessageId, BasicKeyboard());
});
}
else if (currMsg.Text == "/start")
{
Task taskA = Task.Run(() =>
{
string strStartMessage =
ServiceTools.ReadTextFromFile(Directory.GetCurrentDirectory() +
Path.DirectorySeparatorChar + "settings" +
Path.DirectorySeparatorChar + "BotStartMessage.txt");
Bot.SendTextMessageAsync(currMsg.Chat.Id, strStartMessage, true, false,
currMsg.MessageId, BasicKeyboard());
Console.WriteLine("Echo Message: {0}", currMsg.Text);
});
}
else if (currMsg.Text.Contains("/fix"))
{
Console.WriteLine("Echo Message: {0}", currMsg.Text);
Task <bool> taskA = Task.Run(() => RegisterFixStage1(currMsg));
}
else if (currMsg.Text.Contains("/help") || currMsg.Text == "Help")
{
Task taskA = Task.Run(() =>
{
string strStartMessage =
ServiceTools.ReadTextFromFile(Directory.GetCurrentDirectory() +
Path.DirectorySeparatorChar + "settings" +
Path.DirectorySeparatorChar + "BotHelpMessage.txt");
Bot.SendTextMessageAsync(currMsg.Chat.Id, strStartMessage, true, false,
currMsg.MessageId, BasicKeyboard());
Console.WriteLine("Echo Message: {0}", currMsg.Text);
});
}
else
{
// await Bot.SendChatAction(update.Message.Chat.Id, ChatAction.Typing);
// await Task.Delay(200);
Task taskA = Task.Run(() =>
{
Bot.SendTextMessageAsync(currMsg.Chat.Id,
"Sorry, I can`t understand you. Please try again using the following list of commands:" +
Environment.NewLine + "/current_image" +
Environment.NewLine + "/concurrent_info" +
Environment.NewLine + "/current_cc" +
Environment.NewLine + "/meteo_info" +
Environment.NewLine + "/fix",
replyMarkup: BasicKeyboard());
Console.WriteLine("Echo Message: {0}", currMsg.Text);
});
}
}
}