P066.Data.git - Gitblit

			@@ -102,13 +102,30 @@
			#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
			@@ -141,35 +158,65 @@
			#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);

			task2.Wait();
			var task5 = Task.Run(() =>
			taskReexamination.Wait();






			//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);
			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);
			@@ -185,18 +232,18 @@

			});

			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();

			if (listPicyreSor.Count!=0)
			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));
			@@ -219,8 +266,8 @@


			});

			}




			@@ -228,23 +275,26 @@



			task3.Wait();

			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>(); //复检多检出数数
			CompareFile2(ListReexaminationSum, ListPreliminarySum, DataTipsor, out ListNoClearNub, out ListMayNub);
			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);
			@@ -281,7 +331,7 @@
			}
			}
			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 + "缺陷总数报表"}.csv";
			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++)
			@@ -304,16 +354,113 @@
			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 });