1.一键读取，未完成。

Administrator

2021-05-11 b685b6734263b1669d4d9790eb3e5a2d6faaa04f

 P066.Data/Form1.cs

@@ -11,7 +11,6 @@
using Bro.Common;
using Bro.Common.Util;
using System.Configuration;

namespace P066.Data
{
    public partial class Form1 : Form
@@ -19,6 +18,8 @@
        DirectoryInfo directoryInfo1;
        DirectoryInfo directoryInfo2;
        DirectoryInfo directoryInfo3;
        DirectoryInfo directoryInfo4;

        private P066RunParam runparam = new P066RunParam();
        private ReadFile readfile = new ReadFile();
        private WriteFile writefile = new WriteFile();
@@ -45,6 +46,7 @@
                return;

            directoryInfo2 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);

        }

        private void btnLoadData3_Click(object sender, EventArgs e)
@@ -55,36 +57,147 @@
            }
            directoryInfo3 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);
        }
        private void butPictur_Click(object sender, EventArgs e)
        {
            if (folderBrowserDialog1.ShowDialog()!=DialogResult.OK)
            {
                return;
            }
            directoryInfo4 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);

            
        }




        private void btnAnalyze_Click(object sender, EventArgs e)
        {


                //读取全部表格
            var fileinfos1 = directoryInfo1.GetFiles().ToList().FindAll(a => a.Extension == ".csv");
            var listAllSum = new List<ResultData>();
            List<Task> listTask = new List<Task>();
            var DataTipsort = new List<string>();
            for (int i = 0; i < fileinfos1.Count; i++)
            {
                int index = i;
                var task = Task.Run(() =>
                {
                    listAllSum.AddRange(GetFileData(fileinfos1[index]));
                });
                listTask.Add(task);
            }
            DataTipsort = readfile.TimeStamp(fileinfos1[0]);//读取一个文件夹的时间戳
            Task.WaitAll(listTask.ToArray());//等全部读取完后再进行下一步
            Dictionary<int, string> dictionary = new Dictionary<int, string>();
            dictionary.Add(1, "初检中框镜头");
            dictionary.Add(2, "复检中框镜头"); 
            dictionary.Add(3, "初检背板镜头");
            dictionary.Add(4, "复检背板镜头");
            List<ResultData> listCompareSum = new List<ResultData>();
            for (int j = 1; j < 5; j++)
            {
                int indexMax = j;
                for (int i = 1; i < 5; i++)
                {
                    int index = i;
                    Task task = Task.Run(() =>
                    {
                        listCompareSum.AddRange(CompareFile(listAllSum.FindAll(a => a.FileName == dictionary[indexMax] + index + "_" + 1 + "白点"),
                                                            listAllSum.FindAll(a => a.FileName == dictionary[indexMax] + index + "_" + 2 + "白点"), DataTipsort));
                    });

                    listTask.Add(task);
                }
            }
            List<ResultData> listWhiteningCompareSum=new    List<ResultData>();
            for (int i = 1; i < 5; i++)
            {
                int index = i;       
                Task task = Task.Run(() =>
                {
                    listWhiteningCompareSum.AddRange(GetWhiteLocation(CompareFile(listAllSum.FindAll(a => a.FileName == dictionary[2] + index + "_" + 1 + "刮白"),
                                                                                  listAllSum.FindAll(a => a.FileName == dictionary[2] + index + "_" + 2 + "刮白"),                                                                                                                DataTipsort)));
                });

                listTask.Add(task);
            }

            Task.WaitAll(listTask.ToArray());
















            var Start = DateTime.Now;
            #region 读取文件夹下的所有文件，并将文件按照上下进行区分;上表格为fileInfo1，下表格为fileInfo2
            GentClassificationFile(directoryInfo1, out List<FileInfo> fileInfo1, out List<FileInfo> fileInfo2);     //fileInfo1复检上文件夹，fileInfo2复检下文件夹
            GentClassificationFile(directoryInfo3, out List<FileInfo> fileInfo3, out List<FileInfo> fileInfo4);     //fileInfo3初检上文件夹，fileInfo4初检下文件夹
            List<FileInfo> fileInfo1 = new List<FileInfo>();
            List<FileInfo> fileInfo2 = new List<FileInfo>();
            List<FileInfo> fileInfo3 = new List<FileInfo>();
            List<FileInfo> fileInfo4 = new List<FileInfo>();
            Task task1 = new Task(() =>
              {
                  if (directoryInfo1 != null)
                  {
                      GentClassificationFile(directoryInfo1, out List<FileInfo> FileInfo1, out List<FileInfo> FileInfo2);     //fileInfo1复检上文件夹，fileInfo2复检下文件夹
                      fileInfo1 = FileInfo1;
                      fileInfo2 = FileInfo2;
                  }
                  if (directoryInfo3 != null)
                  {
                      GentClassificationFile(directoryInfo3, out List<FileInfo> FileInfo3, out List<FileInfo> FileInfo4);     //fileInfo3初检上文件夹，fileInfo4初检下文件夹
                      fileInfo3 = FileInfo3;
                      fileInfo4 = FileInfo4;
                  }
              });
            task1.Start();
            task1.Wait();
            
            #endregion
            List<ResultData> DataListMerge = new List<ResultData>();
            var listSum = new List<ResultData>();
            var JudgeListSum = new List<ResultData>();
            string filename = "";
            var ListReexaminationSum = new List<ResultData>();          //复检报表数据
            var ListPreliminarySum = new List<ResultData>();          //初检报表数据
            string filenameDir = "";
            //int WhiteI = 0;
            //int WhiteningI = 0;
            int ScratchI = 0;
            int ZoomI = 0;
            int ChuNum = 0;
            int FuNum = 0;
            int GuaNum = 0;

            #region 读取一个表格中所有时间戳并排序
            var dataList = GetFileData(fileInfo1[0]); 
            var dataGroup = dataList.GroupBy(a => a.TimeTip);
            var DataTipsor = new List<string>();
            var DataTipsor = new List<string>();        //白夜班总时间戳
            var DataNightTipsor = new List<string>();   //夜班时间戳
            var DataDayTipsor = new List<string>();     //白天时间戳


            foreach (var item in dataGroup)
            {
                int.TryParse(item.Key, out int start);
                DataTipsor.Add(item.Key);
                if (start > 80000)
                {
                    DataDayTipsor.Add(item.Key);
                }
                else
                {
                    DataNightTipsor.Add(item.Key);
                }
            }
            DataTipsor = DataTipsor.Distinct().ToList();
            DataTipsor.Sort();
            DataTipsor.Distinct().ToList().Sort();
            DataDayTipsor.Distinct().ToList().Sort();
            DataNightTipsor.Distinct().ToList().Sort();



            #endregion

            #region 读取划伤、镀膜破损文件夹文件
@@ -97,17 +210,17 @@
               var list = GetFileData(fileinfos22[i]);
                if (fileinfos22[i].Name.Contains("划伤"))
                {
                    ScratchI++;
                    list.ForEach(a => a.Lensnumber = ScratchI);
                    //ScratchI++;
                    //list.ForEach(a => a.Lensnumber = ScratchI);
                    GetMaxSize(list);
                    GetBkLocation(list);
                    listSum.AddRange(list);
                    ListReexaminationSum.AddRange(list);
                }
                else if (fileinfos22[i].Name.Contains("镀膜破损"))
                {
                    ZoomI++;
                    list.ForEach(a => a.Lensnumber = ZoomI);
                    listSum.AddRange(list);
                    //ZoomI++;
                    //list.ForEach(a => a.Lensnumber = ZoomI);
                    ListReexaminationSum.AddRange(list);
                }

            }
@@ -115,172 +228,339 @@
                directoryInfo2 = null;
            }
            #endregion
            listSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
            for (int i = 0; i < fileInfo1.Count; i++)

            var tt1 =DateTime.Now;
           var taskReexamination = Task.Run (() =>
            {
                //var list = CompareFile(fileInfo1[i], fileInfo2[i], DataTipsor);
                //if (fileInfo1[i].Name.Contains("白点"))
                //{
                //    WhiteI++;
                //    list.ForEach(a => a.Lensnumber = WhiteI);
                //    listSum.AddRange(list);
                //}
                //else if (fileInfo1[i].Name.Contains("刮白"))
                //{
                //    WhiteningI++;
                //    list.ForEach(a => a.Lensnumber = WhiteningI);
                //    listSum.AddRange(list);

                //}
                //复检报表
                //ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));             
                


                #region//判断是初检文件夹还是复检文件夹
                string currPath = "";
                //if (fileInfo1[i].Name.Contains("初检中框"))
                //{
                //    ChuNum++;
                //    filenameDir = "初检中框白点";
                //    filename = "初检中框白点" + ChuNum;
                //    //给镜头区分位置及角度
                //    list = GetMidLocation(list);
                //}
                //else if (fileInfo1[i].Name.Contains("复检中框") && fileInfo1[i].Name.Contains("白点"))
                //{
                //    FuNum = FuNum + 1;
                //    filenameDir = "复检中框白点";
                //    filename = "复检中框白点" + FuNum;
                //    //给镜头区分位置及角度
                //    list = GetMidLocation(list);
                //}
                //else if (fileInfo1[i].Name.Contains("复检中框") && fileInfo1[i].Name.Contains("刮白"))
                //{
                //    GuaNum = GuaNum + 1;
                //    filenameDir = "复检中框刮白";
                //    filename = "复检中框刮白" + GuaNum;
                //    //给镜头区分位置及角度
                //    list = GetWhiteLocation(list);
                //}
                //else if (fileInfo1[i].Name.Contains("初检背板"))
                //{
                //    ChuNum++;
                //    filenameDir = "初检背板白点";
                //    filename = "初检背板白点" + ChuNum;
                //    //给镜头区分位置及角度
                //    list = GetBkLocation(list);
                //}
                //else if (fileInfo1[i].Name.Contains("复检背板") && fileInfo1[i].Name.Contains("白点"))
                //{
                //    FuNum = FuNum + 1;
                //    filenameDir = "复检背板白点";
                //    filename = "复检背板白点" + FuNum;
                //    //给镜头区分位置及角度
                //    //list = GetBkLocation(list);
                //}
            });
            var taskPreliminary = Task.Run(() =>
            {
                //初检报表
                /*    ListPreliminarySum.AddRange(GetClassificationLens(fileInfo3, fileInfo4, DataTipsor));  */     //合并初检上下报表，输出合并后数据

                currPath = directoryInfo1.Parent.FullName;
                string subPath = currPath + "/" + filenameDir + "合并后" + "/";
                if (false == Directory.Exists(subPath))
                
            });

            taskReexamination.Wait();






            //夜班
            var taskNight= Task.Run(() =>
            {

                #region//将夜班设备判断结果输出到CSV报表中
                //ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
                var title12 = $"时间戳,相机序号,设备判断结果,缺陷类型,设备后处理结果,最大尺寸,位置,X,Y,R,角度";
                var file12 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "夜班设备判断结果"}.csv";
                File.AppendAllText(file12, title12, Encoding.UTF8);
                File.AppendAllText(file12, "\r\n");
                foreach (var item in DataNightTipsor)
                {
                    Directory.CreateDirectory(subPath);
                    var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
                    writefile.WriteJR(Lens1, item, 1, file12);
                    for (int i = 2; i < 5; i++)
                    {
                        var Lens = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == i);
                        writefile.WriteJR(Lens, "", i, file12);
                    }

                }
                #endregion


            });
            //白班
            var taskDay = Task.Run(() =>
            {

                #region//将夜班设备判断结果输出到CSV报表中
                //ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
                var title12 = $"时间戳,相机序号,设备判断结果,缺陷类型,设备后处理结果,最大尺寸,位置,X,Y,R,角度";
                var file12 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "白班班设备判断结果"}.csv";
                File.AppendAllText(file12, title12, Encoding.UTF8);
                File.AppendAllText(file12, "\r\n");
                foreach (var item in DataDayTipsor)
                {
                    var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
                    writefile.WriteJR(Lens1, item, 1, file12);
                    for (int i = 2; i < 5; i++)
                    {
                        var Lens = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == i);
                        writefile.WriteJR(Lens, "", i, file12);
                    }

                }
                #endregion


            });


            if (directoryInfo4!=null)
            {
                Task.Run(() =>
                {
                    List<string> listPicyreSor = new List<string>();        //加载图片时间戳
                    var directoties = directoryInfo4.GetDirectories();
                    for (int i = 0; i < directoties.Length; i++)
                    {
                        listPicyreSor.Add(directoties[i].Name);
                    }
                    listPicyreSor.Sort();

                    #region//将设备判断结果输出到CSV报表中
                    //ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
                    var title12 = $"时间戳,相机序号,设备判断结果,缺陷类型,设备后处理结果,最大尺寸,位置,X,Y,R,角度";
                    var file12 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "设备检索结果"}.csv";
                    File.AppendAllText(file12, title12, Encoding.UTF8);
                    File.AppendAllText(file12, "\r\n");
                    foreach (var item in listPicyreSor)
                    {
                        var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
                        writefile.WriteJR(Lens1, item, 1, file12);
                        for (int i = 2; i < 5; i++)
                        {
                            var Lens = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == i);
                            writefile.WriteJR(Lens, "", i, file12);
                        }

                    }
          


                });
             
            }








            taskPreliminary.Wait();


            var task6 = Task.Run(() =>
            {

                #region//根据产品编号输出总缺陷报表
                if (directoryInfo3 != null)
                {
                    List<ResultData> ListNoClearNub = new List<ResultData>();       //清除失败数
                    List<ResultData> ListMayNub = new List<ResultData>();       //复检多检出数数
                    CompareFile2(ListReexaminationSum, ListPreliminarySum, DataNightTipsor, out ListNoClearNub, out ListMayNub);
                    var title = $"产品编号,镜头编号,总缺陷数量,设备清除数,未清除数,复检多检出数";
                    var file = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "夜班缺陷总数报表"}.csv";
                    File.AppendAllText(file, title, Encoding.UTF8);
                    File.AppendAllText(file, "\r\n");

                    #region 夜班
                    foreach (var item in DataNightTipsor)
                    {
                        //总缺陷数
                        var ListLenSum1 = ListPreliminarySum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
                        var listlensum1 = ListLenSum1.Count;
                        //未清除数
                        var ListLenNoClearSum1 = ListNoClearNub.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
                        var listlennoclearsum1 = ListLenNoClearSum1.Count;
                        //设备清除数
                        var listlenclearsum1 = listlensum1 - listlennoclearsum1;
                        //复检多检出数
                        var ListLenMaySum1 = ListMayNub.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
                        var listlenmaysum1 = ListLenMaySum1.Count;

                        var content1 = $"{item},{1},{listlensum1},{listlenclearsum1},{listlennoclearsum1},{listlenmaysum1}";
                        File.AppendAllText(file, content1, Encoding.UTF8);
                        File.AppendAllText(file, "\r\n");

                        for (int i = 2; i < 5; i++)
                        {
                            //总缺陷数
                            var ListLenSum = ListPreliminarySum.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                            var listlensum = ListLenSum.Count;
                            //未清除数
                            var ListLenNoClearSum = ListNoClearNub.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                            var listlennoclearsum = ListLenNoClearSum.Count;
                            //设备清除数
                            var listlenclearsum = listlensum - listlennoclearsum;
                            //复检多检出数
                            var ListLenMaySum = ListMayNub.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                            var listlenmaysum = ListLenMaySum.Count;
                            var content = $"{""},{i},{listlensum},{listlenclearsum},{listlennoclearsum},{listlenmaysum}";
                            File.AppendAllText(file, content, Encoding.UTF8);
                            File.AppendAllText(file, "\r\n");
                        }
                    }
                    var title1 = $"镜头编号,总缺陷数量,设备清除数,清除率";
                    var file1 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "夜班缺陷总数报表"}.csv";
                    File.AppendAllText(file1, title1, Encoding.UTF8);
                    File.AppendAllText(file1, "\r\n");
                    for (int i =1; i < 5; i++)
                    {
                        //初检缺陷数
                        var ListLenSum1 = ListPreliminarySum.FindAll(a => a.Lensnumber ==i && a.DefectType == "白点" && !a.Result);
                        var listlensum1 = ListLenSum1.Count;
                        //复检多检出数
                        var ListLenMaySum1 = ListMayNub.FindAll(a=> a.Lensnumber ==i&& a.DefectType == "白点" && !a.Result);
                        var listlenmaysum1 = ListLenMaySum1.Count;
                        //总缺陷数
                        var defectSum = listlenmaysum1 + listlensum1;
                        //除尘数
                        var ListLenNoClearSum1 = ListNoClearNub.FindAll(a =>  a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                        var listlennoclearsum1 = ListLenNoClearSum1.Count;
                        var defectClearSum = listlensum1 - listlennoclearsum1;


                        var content1 = $"{i},{defectSum},{defectClearSum},{(double)(defectSum / defectClearSum)}";
                        File.AppendAllText(file1, content1, Encoding.UTF8);
                        File.AppendAllText(file1, "\r\n");
                    }
                    #endregion

                    directoryInfo3 = null;
                }

                #endregion  
                #endregion


                //var title1 = $"时间戳,文件名,判断,可能性,不确定性,高,宽,X,Y,最大尺寸,位置,R,角度";
                //var file1 = $"{subPath}\\{filename}.csv";
                //File.AppendAllText(file1, title1, Encoding.UTF8);
                //File.AppendAllText(file1, "\r\n");


                //foreach (var item in DataTipsor)
                //{
                //    var list11 = list.FindAll(a => a.TimeTip == item && !a.Result);
                //    for (int q = 0; q < list11.Count; q++)
                //    {
                //        string result = list11[q].Result ? "OK" : "NG";

                //        var content = $"{list11[q].TimeTip},{list11[q].ImageFileName},{result},{list11[q].Probability},{list11[q].Uncertainty},{list11[q].Height},{list11[q].Width},{list11[q].X},{list11[q].Y},{list11[q].ex},{list11[q].location},{ Convert.ToInt32(list11[q].R)},{ Convert.ToInt32(list11[q].angle)}";

                //        File.AppendAllText(file1, content, Encoding.UTF8);
                //        File.AppendAllText(file1, "\r\n");
                //    }
            });


                //}
            }


            #region//将设备判断结果输出到CSV报表中
            var title12 = $"时间戳,相机序号,设备判断结果,缺陷类型,设备后处理结果,最大尺寸,位置,X,Y,R,角度";
            var file12 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "设备判断结果"}.csv";
            File.AppendAllText(file12, title12, Encoding.UTF8);
            File.AppendAllText(file12, "\r\n");
            foreach (var item in DataTipsor)
            var task7 = Task.Run(() =>
            {
                var Lens1 = listSum.FindAll(a => a.TimeTip == item&&a.Lensnumber==1);
                writefile.WriteJR(Lens1,item,1,file12);
                var Lens2 = listSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 2);
                writefile.WriteJR(Lens2,"",2,file12);
                var Lens3 = listSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 3);
                writefile.WriteJR(Lens3,"",3,file12);
                var Lens4 = listSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 4);
                writefile.WriteJR(Lens4,"",4,file12);
               
            }
            #endregion

                #region//根据产品编号输出总缺陷报表
                if (directoryInfo3 != null)
                {
                    List<ResultData> ListNoClearNub = new List<ResultData>();       //清除失败数
                    List<ResultData> ListMayNub = new List<ResultData>();       //复检多检出数数
                    CompareFile2(ListReexaminationSum, ListPreliminarySum, DataDayTipsor, out ListNoClearNub, out ListMayNub);
                    var title = $"产品编号,镜头编号,总缺陷数量,设备清除数,未清除数,复检多检出数";
                    var file = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "白班缺陷总数报表"}.csv";
                    File.AppendAllText(file, title, Encoding.UTF8);
                    File.AppendAllText(file, "\r\n");

                    #region 夜班
                    foreach (var item in DataDayTipsor)
                    {
                        //总缺陷数
                        var ListLenSum1 = ListPreliminarySum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
                        var listlensum1 = ListLenSum1.Count;
                        //未清除数
                        var ListLenNoClearSum1 = ListNoClearNub.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
                        var listlennoclearsum1 = ListLenNoClearSum1.Count;
                        //设备清除数
                        var listlenclearsum1 = listlensum1 - listlennoclearsum1;
                        //复检多检出数
                        var ListLenMaySum1 = ListMayNub.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
                        var listlenmaysum1 = ListLenMaySum1.Count;

                        var content1 = $"{item},{1},{listlensum1},{listlenclearsum1},{listlennoclearsum1},{listlenmaysum1}";
                        File.AppendAllText(file, content1, Encoding.UTF8);
                        File.AppendAllText(file, "\r\n");

                        for (int i = 2; i < 5; i++)
                        {
                            //总缺陷数
                            var ListLenSum = ListPreliminarySum.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                            var listlensum = ListLenSum.Count;
                            //未清除数
                            var ListLenNoClearSum = ListNoClearNub.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                            var listlennoclearsum = ListLenNoClearSum.Count;
                            //设备清除数
                            var listlenclearsum = listlensum - listlennoclearsum;
                            //复检多检出数
                            var ListLenMaySum = ListMayNub.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                            var listlenmaysum = ListLenMaySum.Count;
                            var content = $"{""},{i},{listlensum},{listlenclearsum},{listlennoclearsum},{listlenmaysum}";
                            File.AppendAllText(file, content, Encoding.UTF8);
                            File.AppendAllText(file, "\r\n");
                        }
                    }
                    var title1 = $"镜头编号,总缺陷数量,设备清除数,清除率";
                    var file1 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "白班缺陷总数报表"}.csv";
                    File.AppendAllText(file1, title1, Encoding.UTF8);
                    File.AppendAllText(file1, "\r\n");
                    for (int i = 1; i < 5; i++)
                    {
                        //初检缺陷数
                        var ListLenSum1 = ListPreliminarySum.FindAll(a => a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                        var listlensum1 = ListLenSum1.Count;
                        //复检多检出数
                        var ListLenMaySum1 = ListMayNub.FindAll(a => a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                        var listlenmaysum1 = ListLenMaySum1.Count;
                        //总缺陷数
                        var defectSum = listlenmaysum1 + listlensum1;
                        //除尘数
                        var ListLenNoClearSum1 = ListNoClearNub.FindAll(a => a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
                        var listlennoclearsum1 = ListLenNoClearSum1.Count;
                        var defectClearSum = listlensum1 - listlennoclearsum1;


                        var content1 = $"{i},{defectSum},{defectClearSum},{(double)(defectSum / defectClearSum)}";
                        File.AppendAllText(file1, content1, Encoding.UTF8);
                        File.AppendAllText(file1, "\r\n");
                    }
                    #endregion

                    directoryInfo3 = null;
                }

                #endregion




            #region//根据产品编号输出总缺陷报表
            var title = $"产品编号,镜头编号,总缺陷数量";
            var file = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "缺陷总数报表"}.csv";
            File.AppendAllText(file, title, Encoding.UTF8);
            File.AppendAllText(file, "\r\n");
            foreach (var item in DataTipsor)
            {
                var listLensnumber1 = listSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
                var listLensnumberCount1 = listLensnumber1.Count;
                var listLensnumber2 = listSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 2);
                var listLensnumberCount2 = listLensnumber2.Count;
                var listLensnumber3 = listSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 3);
                var listLensnumberCount3 = listLensnumber3.Count;
                var listLensnumber4 = listSum.FindAll(a => a.TimeTip == item&& a.Lensnumber == 4);
                var listLensnumberCount4 = listLensnumber4.Count;
                //第一行
                var content1 = $"{item},{1},{listLensnumberCount1}";
                File.AppendAllText(file, content1, Encoding.UTF8);
                File.AppendAllText(file, "\r\n");
                //第二行
                var content2 = $"{""},{2},{listLensnumberCount2}";
                File.AppendAllText(file, content2, Encoding.UTF8);
                File.AppendAllText(file, "\r\n");
                //第三行
                var content3 = $"{""},{3},{listLensnumberCount3}";
                File.AppendAllText(file, content3, Encoding.UTF8);
                File.AppendAllText(file, "\r\n");
                //第四行
                var content4 = $"{""},{4},{listLensnumberCount4}";
                File.AppendAllText(file, content4, Encoding.UTF8);
                File.AppendAllText(file, "\r\n");

            }
            #endregion
            });







            Task.WaitAll(new Task[]{ taskNight, taskDay, task6, task7 });





            var tt2 =DateTime.Now;
            var sumtt = tt2 - tt1;

          
          


     

            var End = DateTime.Now;
            var Time = Start - End;
            MessageBox.Show("处理完毕，用时"+Convert.ToString(Time));
        }

        #region 两个表格进行比较,如果两个表格中有设备判断标准不统一，将该点变为NG，删除两个表格中NG点相近的最小尺寸点.
        private List<ResultData> CompareFile(FileInfo fileInfo1, FileInfo fileInfo2,List<string> DataTipsor)
        private List<ResultData> CompareFile(List<ResultData> listOne, List<ResultData> listTwo,List<string> DataTipsort)
        {
            var dataList1 = GetFileData(fileInfo1);
            var dataList2 = GetFileData(fileInfo2);

            var dataList = new List<ResultData>();
            foreach (var item in DataTipsor)
            foreach (var item in DataTipsort)
            {
                var list1 = dataList1.FindAll(a => a.TimeTip == item && !a.Result);
                var list2 = dataList2.FindAll(a => a.TimeTip == item && !a.Result);
                var list1 = listOne.FindAll(a => a.TimeTip == item && !a.Result);
                var list2 = listTwo.FindAll(a => a.TimeTip == item && !a.Result);
                var itemToRemove = new List<ResultData>();
                //计算表格1最大尺寸
                GetMaxSize(list1);
@@ -337,29 +617,29 @@
            foreach (var item in group)
            {
                //计算镜头1缺陷位置及角度
                var listLensnumber1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < listLensnumber1.Count; k++)
                var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < ListLenSum1.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber1[k].X, listLensnumber1[k].Y,1050);
                    var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber1[k].angle = lenAngle;
                    ListLenSum1[k].angle = lenAngle;

                    var distance = GetDistance(1050, 1050, listLensnumber1[k].X, listLensnumber1[k].Y);
                    listLensnumber1[k].R = distance;
                    var distance = GetDistance(1050, 1050, ListLenSum1[k].X, ListLenSum1[k].Y);
                    ListLenSum1[k].R = distance;
                    if (distance <= runparam.MidLens1R1)
                    {
                        listLensnumber1[k].location = "镜头";
                        ListLenSum1[k].location = "镜头";
                    }
                    else if (runparam.MidLens1R1 < distance && distance <= runparam.MidLens1R2)
                    {
                        listLensnumber1[k].location = "斜面";
                        ListLenSum1[k].location = "斜面";
                    }
                    else
                    {
                        listLensnumber1[k].location = "平面";
                        ListLenSum1[k].location = "平面";
                    }

                }
@@ -451,33 +731,33 @@
            foreach (var item in group)
            {
                //计算镜头1缺陷位置及角度
                var listLensnumber1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < listLensnumber1.Count; k++)
                var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < ListLenSum1.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber1[k].X, listLensnumber1[k].Y,1050);
                    var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber1[k].angle = lenAngle;
                    ListLenSum1[k].angle = lenAngle;

                    var distance = GetDistance(1050, 1050, listLensnumber1[k].X, listLensnumber1[k].Y);
                    listLensnumber1[k].R = distance;
                    var distance = GetDistance(1050, 1050, ListLenSum1[k].X, ListLenSum1[k].Y);
                    ListLenSum1[k].R = distance;
                    if (distance <= runparam.MidLens1R1)
                    {
                        listLensnumber1[k].location = "镜头";
                        ListLenSum1[k].location = "镜头";
                    }
                    else if (runparam.MidLens1R1 < distance && distance <= runparam.MidLens1R2)
                    {
                        listLensnumber1[k].location = "斜面";
                        ListLenSum1[k].location = "斜面";
                    }
                    else if(runparam.MidLens1R2 < distance && distance <= runparam.BkLens1R1)
                    {
                        listLensnumber1[k].location = "平面可视区";
                        ListLenSum1[k].location = "平面可视区";
                    }
                    else
                    {
                        listLensnumber1[k].location = "平面非可视区";
                        ListLenSum1[k].location = "平面非可视区";
                    }

                }
@@ -582,26 +862,26 @@
            foreach (var item in group)
            {
                //计算镜头1缺陷位置及角度
                var listLensnumber1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < listLensnumber1.Count; k++)
                var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < ListLenSum1.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber1[k].X, listLensnumber1[k].Y,1350);
                    var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1350);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber1[k].angle = lenAngle;
                    ListLenSum1[k].angle = lenAngle;

                    var distance = GetDistance(1350, 1350, listLensnumber1[k].X, listLensnumber1[k].Y);
                    listLensnumber1[k].R = distance;
                    var distance = GetDistance(1350, 1350, ListLenSum1[k].X, ListLenSum1[k].Y);
                    ListLenSum1[k].R = distance;
                    if (distance <= runparam.BkLens1R1)
                    {
                        listLensnumber1[k].location = "可视区";
                        ListLenSum1[k].location = "可视区";
                    }

                    else
                    {
                        listLensnumber1[k].location = "非可视区";
                        ListLenSum1[k].location = "非可视区";
                    }

                }
@@ -758,52 +1038,90 @@
        #endregion

        #region  获取白点、刮白数据并按镜头输出
        private List<ResultData> GetClassificationLens(List<FileInfo> fileInfo1, List<FileInfo> fileInfo2, List<string> DataTipsor)
        {
            List<ResultData> listsum = new List<ResultData>();
            int WhiteI = 0;
            int WhiteningI = 0;
            for (int i = 0; i < fileInfo1.Count; i++)
            {
                var list = CompareFile(fileInfo1[i], fileInfo2[i], DataTipsor);
                if (fileInfo1[i].Name.Contains("白点"))
                {
                    WhiteI++;
                    list.ForEach(a => a.Lensnumber = WhiteI);
                    listsum.AddRange(list);
                }
                else if (fileInfo1[i].Name.Contains("刮白"))
                {
                    WhiteningI++;
                    list.ForEach(a => a.Lensnumber = WhiteningI);
                    listsum.AddRange(list);
        //private List<ResultData> GetClassificationLens(List<FileInfo> fileInfo1, List<FileInfo> fileInfo2, List<string> DataTipsor)
        //{
        //    List<ResultData> ListReexaminationSum = new List<ResultData>();
        //    List<Task> listTask = new List<Task>();
        //    for (int i = 0; i < fileInfo1.Count; i++)
        //    {
        //        int index = i;
        //        Task task = new Task(() => {
        //            var list = CompareFile(fileInfo1[index], fileInfo2[index], DataTipsor);
                   
        //                ListReexaminationSum.AddRange(list);

                }
                if (fileInfo1[i].Name.Contains("初检中框"))
                {
                    list = GetMidLocation(list);
                }
                else if (fileInfo1[i].Name.Contains("复检中框") && fileInfo1[i].Name.Contains("白点"))
                {
                    list = GetMidLocation(list);
                }
                else if (fileInfo1[i].Name.Contains("复检中框") && fileInfo1[i].Name.Contains("刮白"))
                {
                    list = GetWhiteLocation(list);
                }
                else if (fileInfo1[i].Name.Contains("初检背板"))
                {
                    //给镜头区分位置及角度
                    list = GetBkLocation(list);
                }
                else if (fileInfo1[i].Name.Contains("复检背板") && fileInfo1[i].Name.Contains("白点"))
                {
                    list = GetBkLocation(list);
                }
            }
            return listsum;
        }
        //            if (fileInfo1[index].Name.Contains("初检中框"))
        //            {
        //                list = GetMidLocation(list);
        //            }
        //            else if (fileInfo1[index].Name.Contains("复检中框") && fileInfo1[index].Name.Contains("白点"))
        //            {
        //                list = GetMidLocation(list);
        //            }
        //            else if (fileInfo1[index].Name.Contains("复检中框") && fileInfo1[index].Name.Contains("刮白"))
        //            {
        //                list = GetWhiteLocation(list);
        //            }
        //            else if (fileInfo1[index].Name.Contains("初检背板"))
        //            {
        //                //给镜头区分位置及角度
        //                list = GetBkLocation(list);
        //            }
        //            else if (fileInfo1[index].Name.Contains("复检背板") && fileInfo1[index].Name.Contains("白点"))
        //            {
        //                list = GetBkLocation(list);
        //            }
        //        });
        //        task.Start();
        //        listTask.Add(task);
               
        //    }
        //    Task.WaitAll(listTask.ToArray());
        //    return ListReexaminationSum;
        //}
        #endregion

        #region   //统计设备未清除数、复检多检出数
        private void CompareFile2(List<ResultData> ListReexaminationSum, List<ResultData> ListPreliminarySum,List<string> DataTipsor, out List<ResultData> ListNoClearNub, out List<ResultData> ListMayNub)         //ListReexaminationSum是复检数据，ListPreliminarySum是初检数据
        {
            var listNCN = new List<ResultData>();
            //var listmany = new List<ResultData>();
            var itemToRemove = new List<ResultData>();
            for (int i = 0; i < DataTipsor.Count; i++)
            {
                for (int j = 1; j < 5; j++)
                {
                    var ListReexaminationLens = ListReexaminationSum.FindAll(a => a.TimeTip == DataTipsor[i] && a.Lensnumber == j&&a.DefectType=="白点"&&!a.Result);
                    var ListPreliminaryLens = ListPreliminarySum.FindAll(a => a.TimeTip == DataTipsor[i] && a.Lensnumber == j && a.DefectType == "白点" && !a.Result);
         

                    for (int k = 0; k < ListPreliminaryLens.Count; k++)
                    {
                        for (int L = 0; L < ListReexaminationLens.Count; L++)
                        {
                            var distance = GetDistance(ListPreliminaryLens[k].X, ListPreliminaryLens[k].Y, ListReexaminationLens[L].X, ListReexaminationLens[L].Y);
                            if (distance<20)
                            {
                                listNCN.Add(ListReexaminationLens[L]);          //未清除数
                            }

                        }
                    }
                  
                }
               
            }
            var listmany = ListReexaminationSum.FindAll(a => a.DefectType == "白点" && !a.Result);
            for (int M = 0; M < listNCN.Count; M++)
            {
                listmany.Remove(listNCN[M]);
            }
            ListNoClearNub = listNCN;
            ListMayNub = listmany;
        }

        #endregion

        private List <ResultData> GetFileData(FileInfo fileInfos)
        {
            var allLines = File.ReadAllLines(fileInfos.FullName, Encoding.Default);
@@ -834,3 +1152,5 @@


}

#endregion