using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.IO;
using Bro.Common;
using Bro.Common.Util;
using System.Configuration;
namespace P066.Data
{
    public partial class Form1 : Form
    {
        DirectoryInfo directoryInfo1;
        DirectoryInfo directoryInfo2;
        DirectoryInfo directoryInfo3;
        DirectoryInfo directoryInfo4;

        private P066RunParam runparam = new P066RunParam();
        private ReadFile readfile = new ReadFile();
        private WriteFile writefile = new WriteFile();
       

        public Form1()
        {
            InitializeComponent();
            //ConfigHelper.Save(@"D:\P066-Data\P066XML\1.xml", runparam);
            var configuraPath = Environment.CurrentDirectory+ "\\Config\\Jin_Mid.xml";
           runparam = ConfigHelper.Load<P066RunParam>(configuraPath);
    }

        private void btnLoadData1_Click(object sender, EventArgs e)
        {
            if (folderBrowserDialog1.ShowDialog() != DialogResult.OK)
                return;
            directoryInfo1 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);
        }

        private void btnLoadData2_Click(object sender, EventArgs e)
        {
            if (folderBrowserDialog1.ShowDialog() != DialogResult.OK)
                return;

            directoryInfo2 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);

        }

        private void btnLoadData3_Click(object sender, EventArgs e)
        {
            if (folderBrowserDialog1.ShowDialog()!=DialogResult.OK)
            {
                return;
            }
            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 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>();
            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
            var ListReexaminationSum = new List<ResultData>();          //复检报表数据
            var ListPreliminarySum = new List<ResultData>();          //初检报表数据
            string filenameDir = "";

            #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>();        //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.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
            if (directoryInfo2 != null)
            {
                var fileinfos22 = directoryInfo2.GetFiles().ToList().FindAll(a=>a.Extension==".csv");

            for (int i = 0; i < fileinfos22.Count; i++)
            {
               var list = GetFileData(fileinfos22[i]);
                if (fileinfos22[i].Name.Contains("划伤"))
                {
                    //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);
                    ListReexaminationSum.AddRange(list);
                }

            }

                directoryInfo2 = null;
            }
            #endregion

            var tt1 =DateTime.Now;
           var taskReexamination = Task.Run (() =>
            {
                //复检报表
                ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));             
                


            });
            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

                
            });

            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)
                {
                    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




            });


            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 });





            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)
        {
            var dataList1 = GetFileData(fileInfo1);
            var dataList2 = GetFileData(fileInfo2);
            var dataList = new List<ResultData>();
            foreach (var item in DataTipsor)
            {
                var list1 = dataList1.FindAll(a => a.TimeTip == item && !a.Result);
                var list2 = dataList2.FindAll(a => a.TimeTip == item && !a.Result);
                var itemToRemove = new List<ResultData>();
                //计算表格1最大尺寸
                GetMaxSize(list1);
                //计算表格2最大尺寸
                GetMaxSize(list2);
                for (int i = 0; i < list1.Count; i++)
                {
                    for (int j = 0; j < list2.Count; j++)
                    {
                        if (list1[i].JudgmentResult != list2[j].JudgmentResult)
                        {
                            list1[i].JudgmentResult = list2[j].JudgmentResult = "NG";
                        }
                        if (list1[i].PostTreatmentResults.Length<list2[j].PostTreatmentResults.Length)
                        {
                            list1[i].PostTreatmentResults = list2[j].PostTreatmentResults;
                        }
                        else
                        {
                            list2[j].PostTreatmentResults = list1[i].PostTreatmentResults;
                        }
                        var distance = GetDistance(list1[i].X, list1[i].Y, list2[j].X, list2[j].Y);
                        if (distance < 20)
                        {
                           
                            if (list1[i].ex>list2[j].ex)
                            {
                                itemToRemove.Add(list2[j]);
                            }
                            else
                            {
                                itemToRemove.Add(list1[i]);
                            }
                        }
                    }
                }
                dataList.AddRange(list1);
                dataList.AddRange(list2);
                for (int i = 0; i < itemToRemove.Count; i++)
                {
                    dataList.Remove(itemToRemove[i]);
                }
            }
            return dataList;
        }
        #endregion



        #region   获取中框角度和位置
        private List<ResultData> GetMidLocation(List<ResultData> list)
        {
            var group = list.GroupBy(a => a.TimeTip);
            foreach (var item in group)
            {
                //计算镜头1缺陷位置及角度
                var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < ListLenSum1.Count; k++)
                {
                    var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    ListLenSum1[k].angle = lenAngle;

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

                }
                //计算镜头2位置及角度
                var listLensnumber2 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 2);
                for (int k = 0; k < listLensnumber2.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber2[k].X, listLensnumber2[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber2[k].angle = lenAngle;
                    var distance = GetDistance(1050, 1050, listLensnumber2[k].X, listLensnumber2[k].Y);
                    listLensnumber2[k].R = distance;
                    if (distance <= runparam.MidLens2R1)
                    {
                        listLensnumber2[k].location = "镜头";
                    }
                    else if (runparam.MidLens2R1 < distance && distance <= runparam.MidLens2R2)
                    {
                        listLensnumber2[k].location = "斜面";
                    }
                    else
                    {
                        listLensnumber2[k].location = "平面";
                    }
                }
                //计算镜头3位置及角度
                var listLensnumber3 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 3);
                for (int k = 0; k < listLensnumber3.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber3[k].X, listLensnumber3[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber3[k].angle = lenAngle;
                    var distance = GetDistance(1050, 1050, listLensnumber3[k].X, listLensnumber3[k].Y);
                    listLensnumber3[k].R = distance;
                    if (distance <= runparam.MidLens3R1)
                    {
                        listLensnumber3[k].location = "镜头";
                    }
                    else if ( runparam.MidLens3R1< distance && distance <= runparam.MidLens3R2)
                    {
                        listLensnumber3[k].location = "斜面";
                    }
                    else
                    {
                        listLensnumber3[k].location = "平面";
                    }
                }
                //计算镜头4位置及角度
                var listLensnumber4 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 4);
                for (int k = 0; k < listLensnumber4.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber4[k].X, listLensnumber4[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber4[k].angle = lenAngle;
                    var distance = GetDistance(1050, 1050, listLensnumber4[k].X, listLensnumber4[k].Y);
                    listLensnumber4[k].R = distance;
                    if (distance <= runparam.MidLens4R1)
                    {
                        listLensnumber4[k].location = "镜头";
                    }
                    else if (runparam.MidLens4R1 < distance && distance <= runparam.MidLens4R2)
                    {
                        listLensnumber4[k].location = "斜面";
                    }
                    else
                    {
                        listLensnumber4[k].location = "平面";

                    }
                }

            }
            return list;
        }
        #endregion
        #region 获取中框刮白角度和位置
        private List<ResultData> GetWhiteLocation(List<ResultData> list)
        {
            var group = list.GroupBy(a => a.TimeTip);
            foreach (var item in group)
            {
                //计算镜头1缺陷位置及角度
                var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < ListLenSum1.Count; k++)
                {
                    var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    ListLenSum1[k].angle = lenAngle;

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

                }
                //计算镜头2位置及角度
                var listLensnumber2 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 2);
                for (int k = 0; k < listLensnumber2.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber2[k].X, listLensnumber2[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber2[k].angle = lenAngle;
                    var distance = GetDistance(1050, 1050, listLensnumber2[k].X, listLensnumber2[k].Y);
                    listLensnumber2[k].R = distance;
                    if (distance <= runparam.MidLens2R1)
                    {
                        listLensnumber2[k].location = "镜头";
                    }
                    else if (runparam.MidLens2R1 < distance && distance <= runparam.MidLens2R2)
                    {
                        listLensnumber2[k].location = "斜面";
                    }
                    else if (runparam.MidLens2R2 < distance && distance <= runparam.BkLens2R1)
                    {
                        listLensnumber2[k].location = "平面可视区";
                    }
                    else
                    {
                        listLensnumber2[k].location = "平面非可视区";
                    }
                }
                //计算镜头3位置及角度
                var listLensnumber3 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 3);
                for (int k = 0; k < listLensnumber3.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber3[k].X, listLensnumber3[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber3[k].angle = lenAngle;
                    var distance = GetDistance(1050, 1050, listLensnumber3[k].X, listLensnumber3[k].Y);
                    listLensnumber3[k].R = distance;
                    if (distance <= runparam.MidLens3R1)
                    {
                        listLensnumber3[k].location = "镜头";
                    }
                    else if (runparam.MidLens3R1 < distance && distance <= runparam.MidLens3R2)
                    {
                        listLensnumber3[k].location = "斜面";
                    }
                    else if (runparam.MidLens3R2 < distance && distance <= runparam.BkLens3R1)
                    {
                        listLensnumber3[k].location = "平面可视区";
                    }
                    else
                    {
                        listLensnumber3[k].location = "平面非可视区";
                    }
                }
                //计算镜头4位置及角度
                var listLensnumber4 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 4);
                for (int k = 0; k < listLensnumber4.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber4[k].X, listLensnumber4[k].Y,1050);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber4[k].angle = lenAngle;
                    var distance = GetDistance(1050, 1050, listLensnumber4[k].X, listLensnumber4[k].Y);
                    listLensnumber4[k].R = distance;
                    if (distance <= runparam.MidLens4R1)
                    {
                        listLensnumber4[k].location = "镜头";
                    }
                    else if (runparam.MidLens4R1 < distance && distance <= runparam.MidLens4R2)
                    {
                        listLensnumber4[k].location = "斜面";
                    }
                    else if (runparam.MidLens4R2 < distance && distance <= runparam.BkLens4R1)
                    {
                        listLensnumber4[k].location = "平面可视区";

                    }
                    else
                    {
                        listLensnumber4[k].location = "平面非可视区";
                    }
                }

            }
            return list;
        }
        #endregion
        
        #region 获取背板角度和位置
        private List<ResultData> GetBkLocation(List<ResultData> list)
        {
            var group = list.GroupBy(a => a.TimeTip);
            foreach (var item in group)
            {
                //计算镜头1缺陷位置及角度
                var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
                for (int k = 0; k < ListLenSum1.Count; k++)
                {
                    var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1350);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    ListLenSum1[k].angle = lenAngle;

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

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

                }
                //计算镜头2位置及角度
                var listLensnumber2 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 2);
                for (int k = 0; k < listLensnumber2.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber2[k].X, listLensnumber2[k].Y,1350);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber2[k].angle = lenAngle;
                    var distance = GetDistance(1350, 1350, listLensnumber2[k].X, listLensnumber2[k].Y);
                    listLensnumber2[k].R = distance;
                    if (distance <= runparam.BkLens2R1)
                    {
                        listLensnumber2[k].location = "可视区";
                    }
                    else
                    {
                        listLensnumber2[k].location = "非可视区";
                    }
                }
                //计算镜头3位置及角度
                var listLensnumber3 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 3);
                for (int k = 0; k < listLensnumber3.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber3[k].X, listLensnumber3[k].Y,1350);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber3[k].angle = lenAngle;
                    var distance = GetDistance(1350, 1350, listLensnumber3[k].X, listLensnumber3[k].Y);
                    listLensnumber3[k].R = distance;
                    if (distance <= runparam.BkLens3R1)
                    {
                        listLensnumber3[k].location = "可视区";
                    }

                    else
                    {
                        listLensnumber3[k].location = "非可视区";
                    }
                }
                //计算镜头4位置及角度
                var listLensnumber4 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 4);
                for (int k = 0; k < listLensnumber4.Count; k++)
                {
                    var lenAngle = GetAngle(listLensnumber4[k].X, listLensnumber4[k].Y,1350);
                    if (lenAngle < 0)
                    {
                        lenAngle = 360 + lenAngle;
                    }
                    listLensnumber4[k].angle = lenAngle;
                    var distance = GetDistance(1350, 1350, listLensnumber4[k].X, listLensnumber4[k].Y);
                    listLensnumber4[k].R = distance;
                    if (distance <= runparam.BkLens4R1)
                    {
                        listLensnumber4[k].location = "可视区";
                    }
                    else
                    {
                        listLensnumber4[k].location = "非可视区";

                    }
                }

            }
            return list;
        }
        #endregion
        #region  计算两点之间距离
        private double GetDistance(double x1, double y1, double x2, double y2)
        {
            return Math.Sqrt(Math.Pow((x2 - x1), 2) + Math.Pow((y2 - y1), 2));
        }
        #endregion
          #region 计算角度
        private double GetAngle(double x1, double y1,double size)
        {
            return Math.Atan2((y1 - size), (x1 - size)) * (180 / Math.PI);
        }
        #endregion
         #region 计算最大尺寸
        private List<ResultData> GetMaxSize(List<ResultData> list)
        {
            for (int i = 0; i < list.Count; i++)
            {
                if (list[i].Width > list[i].Height)
                {
                    list[i].ex = list[i].Width * 0.0043;
                }
                else
                {
                    list[i].ex = list[i].Height * 0.0043;
                }

            }
            return list;
        }
        #endregion  
        #region 获取文件名称并确定缺陷类型
        private string GetDefactType(FileInfo fileinfo)
        {
            string defatType="";

            if (fileinfo.Name.Contains("白点"))
            {
                defatType= "白点";
            }
            else if (fileinfo.Name.Contains("刮白"))
            {
                defatType = "刮白";
            }
            else if (fileinfo.Name.Contains("镀膜破损"))
            {
                defatType = "镀膜破损";
            }
            else if (fileinfo.Name.Contains("划伤"))
            {
                defatType = "划伤";
            }



            return defatType;
        }
        #endregion

        #region 将文件夹进行区分上表格、下表格
        private void GentClassificationFile(DirectoryInfo directoryInfo,out List<FileInfo> fileinfo1, out List<FileInfo> fileinfo2)
        {
            var fileinfos11 = directoryInfo.GetFiles().ToList().FindAll(a => a.Extension == ".csv");
            List<FileInfo> fileInfo1 = new List<FileInfo>();
            List<FileInfo> fileInfo2 = new List<FileInfo>();
            for (int i = 0; i < fileinfos11.Count; i++)
            {
                if (fileinfos11[i].Name.Contains("1_1") || fileinfos11[i].Name.Contains("2_1") || fileinfos11[i].Name.Contains("3_1") || fileinfos11[i].Name.Contains("4_1"))
                {
                    fileInfo1.Add(fileinfos11[i]);
                }
                else
                {
                    fileInfo2.Add(fileinfos11[i]);
                }
            }
            fileinfo1 = fileInfo1;
            fileinfo2 = fileInfo2;


        }
        #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> 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[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);
            List<ResultData> dataList = new List<ResultData>();
            if (allLines.Length > 1)
            {
                switch (GetDefactType(fileInfos))
                {
                    case "白点":
                        dataList = readfile.GetWhiteFile(allLines);
                        break;
                    case "刮白":
                        dataList = readfile.GetWhiteningFile(allLines);
                        break;
                    case "划伤":
                        dataList = readfile.GetScratchPartFile(allLines);
                        break;
                    case "镀膜破损":
                        dataList = readfile.GetZoomPartFile(allLines);
                        break;
                }
            }
            return dataList;
        }


    }


}

#endregion