private void EnumerateFilesToProcess()
        {
            string        directory = Path.GetDirectoryName(currPath2Process);
            string        filemask  = "*.jpg";
            List <string> filesList =
                new List <string>(Directory.EnumerateFiles(directory, filemask,
                                                           bSearchImagesTopDirectoryOnly ? SearchOption.TopDirectoryOnly : SearchOption.AllDirectories));

            Console.WriteLine("found " + filesList.Count + " files.");
            Console.WriteLine("filtering...");

            List <string> statsFilesList =
                new List <string>(Directory.EnumerateFiles(imageYRGBstatsXMLdataFilesDirectory, ConventionalTransitions.ImageGrIxYRGBstatsFileNamesPattern(),
                                                           bSearchImagesTopDirectoryOnly ? SearchOption.TopDirectoryOnly : SearchOption.AllDirectories));

            statsFilesList = statsFilesList.ConvertAll(strFileName => Path.GetFileName(strFileName));

            int removed = filesList.RemoveAll(
                fname =>
                !statsFilesList.Contains(ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(fname, "", false)));

            Console.WriteLine("removed " + removed + " items. 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;
            }



            int intFinalIndex = filesList.Count;
            int idx           = 0;
            int currPerc      = 0;
            int prevPerc      = 0;
            int consoleWidth  = Console.WindowWidth;

            foreach (string fName in filesList)
            {
                string strToShow = String.Format("{0," + consoleWidth + "}", "adding: " + fName);
                Console.WriteLine(strToShow);
                //Console.SetCursorPosition(0, Console.CursorTop - 1);

                lStatsCalculation.Add(new ImageStatsCollectingData()
                {
                    filename = fName,
                    State    = ImageStatsCollectingState.Queued
                });

                idx++;
            }


            Console.WriteLine("finished enumerating files. Files to process: " + lStatsCalculation.Count);
        }
        private void EnumerateFilesToProcess()
        {
            string        directory = Path.GetDirectoryName(ImagesBasePath);
            string        filemask  = "*.jpg";
            List <string> filesList =
                new List <string>(Directory.EnumerateFiles(directory, filemask,
                                                           bSearchImagesTopDirectoryOnly ? SearchOption.TopDirectoryOnly : SearchOption.AllDirectories));

            Console.WriteLine("found " + filesList.Count + " files.");


            #region filtering

            Console.WriteLine("filtering (if an image stats has been already calculated - it should be excluded) ...");

            List <string> statsFilesList =
                new List <string>(Directory.EnumerateFiles(imageYRGBstatsXMLdataFilesDirectory, ConventionalTransitions.ImageGrIxYRGBstatsFileNamesPattern(),
                                                           bSearchImagesTopDirectoryOnly ? SearchOption.TopDirectoryOnly : SearchOption.AllDirectories));
            statsFilesList = statsFilesList.ConvertAll(strFileName => Path.GetFileName(strFileName));


            int removed = filesList.RemoveAll(
                fname =>
                statsFilesList.Contains(ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(fname, "", false)));

            Console.WriteLine("removed " + removed + " items. Remains " + filesList.Count + " to process.");
            Console.WriteLine("press any key...");
            Console.ReadKey();

            #endregion filtering


            if (!filesList.Any())
            {
                Console.WriteLine("There is no " + filemask + " files that sutisfy settings specified. Processing will not be started.");
                return;
            }

            #region compiling files processing list lStatsCalculation

            int idx          = 0;
            int currPerc     = 0;
            int prevPerc     = 0;
            int consoleWidth = Console.WindowWidth;
            foreach (string fName in filesList)
            {
                string strToShow = String.Format("{0," + consoleWidth + "}", "adding: " + fName);
                Console.WriteLine(strToShow);
                //Console.SetCursorPosition(0, Console.CursorTop - 1);

                lStatsCalculation.Add(new ImageStatsCollectingData()
                {
                    filename = fName,
                    State    = ImageStatsCollectingState.Queued
                });

                idx++;


#if DEBUG
                //if (idx >= 10)
                //{
                //    Console.WriteLine("Finished enumerating files due to DEBUG configuration limitations\n");
                //    Console.WriteLine("press any key...");
                //    Console.ReadKey();
                //    break;
                //}
#endif
            }

            #endregion compiling files processing list

            Console.WriteLine("finished enumerating files. Files to process: " + lStatsCalculation.Count);
            Console.WriteLine("press any key...");
            Console.ReadKey();
        }
        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("logFileName", errorLogFilename);


            // найти и записать данные GPS
            GPSdata currimageGPS = ServiceTools.FindProperGPSdataForImage(srcData.filename, null, defaultProperties,
                                                                          ref NVdataFilesAlreadyReadDateTimeSpans, ref NVdataFilesAlreadyReadData);

            if (currimageGPS != null)
            {
                ServiceTools.WriteObjectToXML(currimageGPS,
                                              ConventionalTransitions.ConcurrentGPSdataFileName(srcData.filename, strConcurrentGPSdataXMLfilesPath));
            }


            // найти и записать данные SDC и Cloud Cover
            DateTime curDateTime = GetImageDateTime(srcData.filename);

            if (!lMissionObservedData.Any())
            {
                return;
            }
            lMissionObservedData.Sort((obsRecord1, obsRecord2) =>
            {
                double dev1 = Math.Abs((obsRecord1.dateTime - curDateTime).TotalMilliseconds);
                double dev2 = Math.Abs((obsRecord2.dateTime - curDateTime).TotalMilliseconds);
                return((dev1 >= dev2) ? (1) : (-1));
            });
            MissionsObservedData closestObservedDatum = lMissionObservedData[0];

            if ((closestObservedDatum.dateTime - curDateTime).TotalSeconds > 600)
            {
                return;
            }



            SunDiskConditionData currImageSDC = new SunDiskConditionData()
            {
                filename         = srcData.filename,
                sunDiskCondition = closestObservedDatum.SDC
            };

            ServiceTools.WriteObjectToXML(currImageSDC,
                                          ConventionalTransitions.SunDiskConditionFileName(srcData.filename, SunDiskConditionXMLdataFilesDirectory));



            // find grixyrgbStatsXMLfile
            SkyImageIndexesStatsData currImageStatsData = null;
            string currImageStatsDataXMLfile            = "";

            if (Directory.Exists(imageYRGBstatsXMLdataFilesDirectory))
            {
                List <string> foundXMLfiles = Directory.EnumerateFiles(imageYRGBstatsXMLdataFilesDirectory,
                                                                       ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(srcData.filename, "", false),
                                                                       SearchOption.AllDirectories).ToList();
                if (foundXMLfiles.Any())
                {
                    // возьмем первый попавшийся
                    currImageStatsDataXMLfile = foundXMLfiles[0];
                    currImageStatsData        =
                        (SkyImageIndexesStatsData)
                        ServiceTools.ReadObjectFromXML(currImageStatsDataXMLfile, typeof(SkyImageIndexesStatsData));
                }
            }



            SkyImagesDataWith_Concurrent_Stats_CloudCover_SDC currImageData = new SkyImagesDataWith_Concurrent_Stats_CloudCover_SDC
                                                                                  ()
            {
                skyImageFullFileName   = srcData.filename,
                skyImageFileName       = Path.GetFileName(srcData.filename),
                currImageDateTime      = curDateTime,
                observedCloudCoverData = new ObservedClCoverData()
                {
                    dt = closestObservedDatum.dateTime,
                    CloudCoverTotal = closestObservedDatum.CloudCoverTotal,
                    CloudCoverLower = closestObservedDatum.CloudCoverLower
                },
                concurrentDataXMLfile = "",
                concurrentData        = new ConcurrentData()
                {
                    filename       = "",
                    datetimeUTC    = currimageGPS.DateTimeUTC,
                    GPSdata        = "",
                    GPSLat         = currimageGPS.Lat,
                    GPSLon         = currimageGPS.Lon,
                    GPSDateTimeUTC = currimageGPS.DateTimeUTC,
                    PressurePa     = closestObservedDatum.pressure,
                    gps            = currimageGPS
                },
                grixyrgbStatsXMLfile = currImageStatsDataXMLfile,
                grixyrgbStats        = currImageStatsData,
                SDCvalue             = closestObservedDatum.SDC
            };

            ServiceTools.WriteObjectToXML(currImageData,
                                          ConventionalTransitions.SkyImagesDataWithConcurrentStatsCloudCoverAndSDC_FileName(srcData.filename,
                                                                                                                            strSkyImagesDataWithConcurrentStatsCloudCoverAndSDCDirectory));
        }
        //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);
        }
        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();
        }
Exemple #6
0
        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 void bgwCopier_DoWork(object sender, DoWorkEventArgs e)
        {
            BackgroundWorker SelfWorker = sender as BackgroundWorker;

            object[] bgwArgs  = e.Argument as object[];
            string   fromPath = bgwArgs[0] as string;
            string   concurrentDataFilesPath = bgwArgs[1] as string;
            string   toPath = bgwArgs[2] as string;
            string   imagesStatsXMLfilesDir = bgwArgs[3] as string;

            DirectoryInfo dir           = new DirectoryInfo(fromPath);
            String        destDirectory = toPath +
                                          ((toPath.Last() == Path.DirectorySeparatorChar)
                                       ? ("")
                                       : (Path.DirectorySeparatorChar.ToString()));

            if (!dir.Exists)
            {
                theLogWindow = ServiceTools.LogAText(theLogWindow,
                                                     "Операция не выполнена. Не найдена директория:" + Environment.NewLine + fromPath +
                                                     Environment.NewLine);
                //ThreadSafeOperations.SetTextTB(tbLog, "Операция не выполнена. Не найдена директория:" + Environment.NewLine + fromPath + Environment.NewLine, true);
                return;
            }


            FileInfo[] FileList2Process = dir.GetFiles("*.jpg", SearchOption.AllDirectories);
            List <Tuple <string, string> > imagesStatsXMLfiles = new List <Tuple <string, string> >();

            if (Directory.Exists(imagesStatsXMLfilesDir))
            {
                imagesStatsXMLfiles =
                    (new DirectoryInfo(imagesStatsXMLfilesDir)).EnumerateFiles(
                        ConventionalTransitions.ImageGrIxYRGBstatsFileNamesPattern(), SearchOption.AllDirectories)
                    .ToList()
                    .ConvertAll(fInfo => new Tuple <string, string>(fInfo.Name, fInfo.FullName));
            }


            DirectoryInfo dirConcurrentDataFiles = new DirectoryInfo(concurrentDataFilesPath);
            List <Tuple <string, DateTime> > lConcurrentDataFiles =
                dirConcurrentDataFiles.EnumerateFiles(ConventionalTransitions.ImageConcurrentDataFilesNamesPattern(),
                                                      SearchOption.AllDirectories).ToList().ConvertAll(fInfo =>
            {
                // data-2015-12-15T06-12-56.0590302Z.xml
                string strDateTimeOfFile = Path.GetFileNameWithoutExtension(fInfo.Name).Substring(5, 28);
                strDateTimeOfFile        = strDateTimeOfFile.Substring(0, 11) +
                                           strDateTimeOfFile.Substring(11).Replace('-', ':');
                DateTime currFileDT = DateTime.Parse(strDateTimeOfFile, null, System.Globalization.DateTimeStyles.AdjustToUniversal);
                currFileDT          = DateTime.SpecifyKind(currFileDT, DateTimeKind.Utc);
                return(new Tuple <string, DateTime>(fInfo.FullName, currFileDT));
            });



            int filesCount = FileList2Process.Length;

            theLogWindow = ServiceTools.LogAText(theLogWindow,
                                                 "searching in directory: " + dir.FullName + Environment.NewLine);
            //ThreadSafeOperations.SetTextTB(tbLog, "searching in directory: " + dir.FullName + Environment.NewLine, true);
            theLogWindow = ServiceTools.LogAText(theLogWindow, "files found count: " + filesCount + Environment.NewLine);
            //ThreadSafeOperations.SetTextTB(tbLog, "files found count: " + filesCount + Environment.NewLine, true);

            String usedDateTimes = "";

            List <DateTime> listUsedHours = new List <DateTime>();

            int counter = 0;

            foreach (FileInfo fileInfo in FileList2Process)
            {
                if (SelfWorker.CancellationPending)
                {
                    break;
                }
                counter++;
                double percCounter = (double)counter * 1000.0d / (double)filesCount;
                SelfWorker.ReportProgress(Convert.ToInt32(percCounter));


                Image     anImage  = Image.FromFile(fileInfo.FullName);
                ImageInfo newIInfo = new ImageInfo(anImage);
                //ThreadSafeOperations.SetTextTB(tbLog, "processing file " + fileInfo.Name + Environment.NewLine, true);


                //String curDateTime = "";
                int minute = 0;
                //String dateTime = (String)newIInfo.getValueByKey("DateTime");
                String strDateTimeEXIF = (String)newIInfo.getValueByKey("ExifDTOrig");
                if (strDateTimeEXIF == null)
                {
                    //попробуем вытащить из имени файла
                    string strDateTime = fileInfo.Name;
                    strDateTime     = strDateTime.Substring(4, 19);
                    strDateTimeEXIF = strDateTime;
                }


                //curDateTime = dateTime;
                DateTime curImgDateTime;
                DateTime theHour = RoundToHour(DateTime.UtcNow);
                try
                {
                    //curImgDateTime = DateTimeOfString(strDateTimeEXIF);
                    curImgDateTime = ConventionalTransitions.DateTimeOfSkyImageFilename(fileInfo.Name);
                    theHour        = RoundToHour(curImgDateTime);
                }
                catch (Exception ex)
                {
                    continue;
                }


                //minute = Convert.ToInt32(strDateTimeEXIF.Substring(14, 2));

                //if ((minute == 0) && (!listUsedHours.Contains(theHour)))
                if (new TimeSpan(Math.Abs((theHour - curImgDateTime).Ticks)) <= filterTolerance)
                {
                    #region copy the image file itself
                    listUsedHours.Add(theHour);

                    string dateDirectorySuffix   = curImgDateTime.ToString("yyyy-MM-dd");
                    string currDateDestDirectory = destDirectory + dateDirectorySuffix + Path.DirectorySeparatorChar;
                    if (!ServiceTools.CheckIfDirectoryExists(currDateDestDirectory))
                    {
                        currDateDestDirectory = destDirectory;
                    }



                    String newFileName = currDateDestDirectory + fileInfo.Name;
                    File.Copy(fileInfo.FullName, newFileName);
                    theLogWindow = ServiceTools.LogAText(theLogWindow,
                                                         "COPY: " + fileInfo.FullName + "   >>>   " + newFileName + Environment.NewLine);
                    //ThreadSafeOperations.SetTextTB(tbLog, "COPY: " + fileInfo.FullName + "   >>>   " + newFileName + Environment.NewLine, true);
                    #endregion copy the image file itself


                    #region find and copy the GrIx,YRGB stats data file
                    if (imagesStatsXMLfiles.Any())
                    {
                        string xmlStatsFileName =
                            ConventionalTransitions.ImageGrIxYRGBstatsDataFileName(fileInfo.FullName, "", false);

                        Tuple <string, string> foundXMLfile =
                            imagesStatsXMLfiles.Find(tpl => tpl.Item1 == xmlStatsFileName);

                        if (foundXMLfile != null)
                        {
                            string sStatsXMLfilename   = foundXMLfile.Item2;
                            string newStatsXMLfilename = currDateDestDirectory + foundXMLfile.Item1;
                            File.Copy(sStatsXMLfilename, newStatsXMLfilename);
                            theLogWindow = ServiceTools.LogAText(theLogWindow,
                                                                 "COPY: " + sStatsXMLfilename + "   >>>   " + newStatsXMLfilename + Environment.NewLine);
                            //ThreadSafeOperations.SetTextTB(tbLog,
                            //    "COPY: " + sStatsXMLfilename + "   >>>   " + newStatsXMLfilename + Environment.NewLine,
                            //    true);
                        }
                        else
                        {
                            theLogWindow = ServiceTools.LogAText(theLogWindow,
                                                                 "========== ERROR: couldn`t find GrIx,YRGB stats XML file" + Environment.NewLine);
                            //ThreadSafeOperations.SetTextTB(tbLog,
                            //    "========== ERROR: couldn`t find GrIx,YRGB stats XML file" + Environment.NewLine, true);
                        }
                    }
                    #endregion find and copy the GrIx,YRGB stats data file


                    #region find and copy concurrent data XML file
                    if (lConcurrentDataFiles.Any())
                    {
                        //найдем ближайший по времени
                        List <Tuple <string, TimeSpan> > lCurrFileConcurrentDataNearest =
                            lConcurrentDataFiles.ConvertAll(
                                tpl =>
                                new Tuple <string, TimeSpan>(tpl.Item1,
                                                             new TimeSpan(Math.Abs((tpl.Item2 - curImgDateTime).Ticks))));
                        lCurrFileConcurrentDataNearest.Sort(new Comparison <Tuple <string, TimeSpan> >((tpl1, tpl2) =>
                        {
                            if (tpl1 == null)
                            {
                                if (tpl2 == null)
                                {
                                    return(0);
                                }
                                else
                                {
                                    return(-1);
                                }
                            }
                            else
                            {
                                if (tpl2 == null)
                                {
                                    return(1);
                                }
                                else
                                {
                                    return(tpl1.Item2.CompareTo(tpl2.Item2));
                                }
                            }
                        }));

                        GPSdata gps = new GPSdata();
                        Tuple <string, TimeSpan> nearestConcurrentDataFile = null;
                        int concurrentDataFileIdx = 0;

                        while (!gps.validGPSdata)
                        {
                            nearestConcurrentDataFile = lCurrFileConcurrentDataNearest[concurrentDataFileIdx];

                            Dictionary <string, object> dictSavedData = ServiceTools.ReadDictionaryFromXML(nearestConcurrentDataFile.Item1);

                            gps = new GPSdata((string)dictSavedData["GPSdata"],
                                              GPSdatasources.CloudCamArduinoGPS,
                                              DateTime.Parse((string)dictSavedData["GPSDateTimeUTC"], null,
                                                             System.Globalization.DateTimeStyles.RoundtripKind));

                            concurrentDataFileIdx++;
                        }

                        string currValidConcurrentDataFile         = nearestConcurrentDataFile.Item1;
                        string currValidConcurrentDataFileToCopyTo = currDateDestDirectory + "data-" +
                                                                     Path.GetFileNameWithoutExtension(fileInfo.FullName) + ".xml";
                        File.Copy(currValidConcurrentDataFile, currValidConcurrentDataFileToCopyTo);
                        theLogWindow = ServiceTools.LogAText(theLogWindow,
                                                             "COPY: " + currValidConcurrentDataFile + "   >>>   " + currValidConcurrentDataFileToCopyTo +
                                                             Environment.NewLine);
                        //ThreadSafeOperations.SetTextTB(tbLog,
                        //    "COPY: " + currValidConcurrentDataFile + "   >>>   " + currValidConcurrentDataFileToCopyTo +
                        //    Environment.NewLine, true);
                    }
                    else
                    {
                        theLogWindow = ServiceTools.LogAText(theLogWindow,
                                                             "========== ERROR: couldn`t find concurrent data file for " + fileInfo.FullName +
                                                             Environment.NewLine);
                        //ThreadSafeOperations.SetTextTB(tbLog, "========== ERROR: couldn`t find concurrent data file for " + fileInfo.FullName + Environment.NewLine, true);
                    }
                    #endregion find and copy concurrent data XML file


                    theLogWindow.ClearLog();
                }
            }
        }