P066.Data.git - Gitblit

			@@ -18,6 +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();
			@@ -44,6 +46,7 @@
			return;

			directoryInfo2 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);

			}

			private void btnLoadData3_Click(object sender, EventArgs e)
			@@ -54,10 +57,76 @@
			}
			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)
			{
			var Start = DateTime.Now;



			//var fileinfos1 = directoryInfo1.GetFiles().ToList().FindAll(a => a.Extension == ".csv");
			//List<ResultData> listSum1 = new List<ResultData>();
			//List<Task> listTask = new List<Task>();
			//for (int i = 0; i < fileinfos1.Count; i++)
			//{
			// int index = i;
			// var task= Task.Run(() => {


			// listSum1.AddRange(GetFileData(fileinfos1[index]));

			// });
			// listTask.Add(task);
			//}

			//var fileinfos2 = directoryInfo3.GetFiles().ToList().FindAll(a => a.Extension == ".csv");
			//List<ResultData> listSum2 = new List<ResultData>();

			//for (int i = 0; i < fileinfos2.Count; i++)
			//{
			// int index = i;
			// var task = Task.Run(() => {


			// listSum2.AddRange(GetFileData(fileinfos2[index]));

			// });
			// listTask.Add(task);
			//}


			//Task.WaitAll(listTask.ToArray());


			//List<string> str = new List<string>();
			//var listsumgrb = listSum2.GroupBy(a => a.FileName);
			//foreach (var item in listsumgrb)
			//{

			// var tst = item.Key;
			// str.Add(item.Key);

			//}







			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
			List<FileInfo> fileInfo1 = new List<FileInfo>();
			List<FileInfo> fileInfo2 = new List<FileInfo>();
			@@ -85,18 +154,34 @@
			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 ScratchI = 0;
			int ZoomI = 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
			@@ -109,16 +194,16 @@
			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);
			ListReexaminationSum.AddRange(list);
			}
			else if (fileinfos22[i].Name.Contains("镀膜破损"))
			{
			ZoomI++;
			list.ForEach(a => a.Lensnumber = ZoomI);
			//ZoomI++;
			//list.ForEach(a => a.Lensnumber = ZoomI);
			ListReexaminationSum.AddRange(list);
			}

			@@ -129,35 +214,40 @@
			#endregion

			var tt1 =DateTime.Now;
			var task2= Task.Run (() =>
			var taskReexamination = Task.Run (() =>
			{

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



			});
			var task3= Task.Run(() =>
			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


			});

			Task.WaitAll(task2, task3);

			taskReexamination.Wait();


			var task5 = Task.Run(() =>




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

			#region//将设备判断结果输出到CSV报表中
			#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 + "设备判断结果"}.csv";
			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 DataTipsor)
			foreach (var item in DataNightTipsor)
			{
			var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
			writefile.WriteJR(Lens1, item, 1, file12);
			@@ -172,23 +262,95 @@


			});
			//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)
			{
			//GentClassificationFile(directoryInfo3, out List<FileInfo> fileInfo3, out List<FileInfo> fileInfo4); //fileInfo3初检上文件夹，fileInfo4初检下文件夹
			//ListPreliminarySum.AddRange(GetClassificationLens(fileInfo3, fileInfo4, DataTipsor)); //合并初检上下报表，输出合并后数据
			List<ResultData> ListNoClearNub = new List<ResultData>(); //清除失败数
			List<ResultData> ListMayNub = new List<ResultData>(); //清除失败数
			CompareFile2(ListReexaminationSum, ListPreliminarySum, DataTipsor, out ListNoClearNub, out ListMayNub);

			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 + "缺陷总数报表"}.csv";
			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");
			foreach (var item in DataTipsor)

			#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);
			@@ -224,14 +386,137 @@
			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




			});


			Task.WaitAll(new Task[]{ task5, task6});
			var task7 = 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, 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




			});







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



			@@ -741,46 +1026,42 @@
			private List<ResultData> GetClassificationLens(List<FileInfo> fileInfo1, List<FileInfo> fileInfo2, List<string> DataTipsor)
			{
			List<ResultData> ListReexaminationSum = new List<ResultData>();
			int WhiteI = 0;
			int WhiteningI = 0;
			List<Task> listTask = new List<Task>();
			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);
			ListReexaminationSum.AddRange(list);
			}
			else if (fileInfo1[i].Name.Contains("刮白"))
			{
			WhiteningI++;
			list.ForEach(a => a.Lensnumber = WhiteningI);
			ListReexaminationSum.AddRange(list);
			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);
			}
			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
			@@ -856,3 +1137,5 @@


			}

			#endregion