Jack.Peng
2021-04-12 93897305bd1c0abeab2588fac214b545d959f232
1.新增多线程。
1个文件已添加
1个文件已修改
202 ■■■■■ 已修改文件
P066.Data/Form1.cs 202 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
TP/对标产品IMEI_2020-04-09.xlsx 补丁 | 查看 | 原始文档 | blame | 历史
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
@@ -58,11 +57,31 @@
        private void btnAnalyze_Click(object sender, EventArgs e)
        {
            var Start = DateTime.Now;
            #region è¯»å–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
            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 ListReexaminationSum = new List<ResultData>();          //复检报表数据
            var ListPreliminarySum = new List<ResultData>();          //初检报表数据
            string filenameDir = "";
@@ -109,86 +128,127 @@
            }
            #endregion
            #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 + "设备判断结果"}.csv";
            File.AppendAllText(file12, title12, Encoding.UTF8);
            File.AppendAllText(file12, "\r\n");
            foreach (var item in DataTipsor)
            var tt1 =DateTime.Now;
           var task2= Task.Run (() =>
            {
                var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item&&a.Lensnumber==1);
                writefile.WriteJR(Lens1,item,1,file12);
                var Lens2 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 2);
                writefile.WriteJR(Lens2,"",2,file12);
                var Lens3 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 3);
                writefile.WriteJR(Lens3,"",3,file12);
                var Lens4 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 4);
                writefile.WriteJR(Lens4,"",4,file12);
            }
            #endregion
                    ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
            #region//根据产品编号输出总缺陷报表
            if (directoryInfo3!=null)
            });
            var task3= Task.Run(() =>
            {
                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));
                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);
                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";
                File.AppendAllText(file, title, Encoding.UTF8);
                File.AppendAllText(file, "\r\n");
                    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);
            var task5 = Task.Run(() =>
            {
                #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 + "设备判断结果"}.csv";
                File.AppendAllText(file12, title12, Encoding.UTF8);
                File.AppendAllText(file12, "\r\n");
                foreach (var item in DataTipsor)
                {
                    //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");
                    var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
                    writefile.WriteJR(Lens1, item, 1, file12);
                    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 Lens = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == i);
                        writefile.WriteJR(Lens, "", i, file12);
                    }
                }
                directoryInfo3 = null;
            }
            #endregion
                #endregion
            });
            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);
                    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";
                    File.AppendAllText(file, title, Encoding.UTF8);
                    File.AppendAllText(file, "\r\n");
                    foreach (var item in DataTipsor)
                    {
                        //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");
                        }
                    }
                    directoryInfo3 = null;
                }
                #endregion
            });
            Task.WaitAll(new Task[]{ task5, task6});
            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 ä¸¤ä¸ªè¡¨æ ¼è¿›è¡Œæ¯”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.
TP/¶Ô±ê²úÆ·IMEI_2020-04-09.xlsx
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