using OTSIncAReportApp.DataOperation.DataAccess;
using OTSIncAReportApp.DataOperation.Model;
using OTSIncAReportApp.SysMgrTools;
using OTSIncAReportGraph.Class;
using OTSIncAReportGraph.Controls;
using System;
using System.Collections;
using System.Collections.Generic;
using System.Data;
using System.Diagnostics;

using System.Drawing;
using System.Drawing.Drawing2D;
using System.Linq;


namespace OTSIncAReportGraph.OTSIncAReportGraphFuncation
{
    class OTSIncAReportFun
    {
        #region 枚举定义
        /// <summary>
        /// 样品台X轴方向
        /// </summary>
        enum OTS_X_AXIS_DIRECTION
        {
            LEFT_TOWARD = 0,
            RIGHT_TOWARD = 1
        }

        /// <summary>
        /// 样品台Y轴方向
        /// </summary>
        enum OTS_Y_AXIS_DIRECTION
        {
            UP_TOWARD = 0,
            DOWN_TOWARD = 1
        }
        #endregion

        #region 定义变量

        private ResultFile resultFile = null;

        //新版排序图窗体对象
        //private Control_DrawDistrbutionSortImage m_Control_DrawdistrbutionsortImage = null;

 

        //全局对象,为了能够快速的获取到xray数据，而做为一个临时变量进行保存,使用前应该判断是否为空
        public List<Field> m_list_OTSField = null;

        NLog.Logger log;
        //field的数量
        public int m_field_count = 0;

        //particle的数量
        public int m_particle_count = 0;

        //加载使用的时间
        public string m_time_str = "";

        //加载使用时间计算时间段2
        public string m_time_str2 = "";

    

        //电镜设置对象
        public  ServiceInterface.SemController m_cfun = null;

        //是否已经连接到了电镜
        public bool m_SEMConnectionState = false;

        //连接到电镜的ID号
        public int m_SEM_ID = 0;

        //国际化
        //Language lan = new Language();
        //Hashtable table;
        #endregion

        #region 构造函数
        /// <summary>
        /// 构造函数，接收新版分布图和排序图的构造函数
        /// </summary>
        /// <param name="in_Control_DrawDistrbutionImageAndBSE"></param>
        /// <param name="in_Cotsreportprojfilemgrclr"></param>
        public OTSIncAReportFun( ResultFile result)
        {
          
            resultFile = result;
            m_cfun =new ServiceInterface.SemController();
            log = NLog.LogManager.GetCurrentClassLogger();
            //table = lan.GetNameTable("OTSIncAReportFun");
        }



        #endregion

        #region 封装自定义方法
        /// <summary>
        /// 通过传入的各field物理坐标列表，和单个field的屏幕分辨率，及单个的field的物理坐标，来获取当前field在整个image中的屏幕像素坐标偏移,并且是OTS向上为正做了Y轴相反运算
        /// </summary>
        /// <param name="in_list_point"></param>
        /// <param name="in_screen_width"></param>
        /// <param name="in_screen_height"></param>
        /// <param name="in_physics_width"></param>
        /// <param name="in_physics_height"></param>
        /// <returns></returns>
        public Point GetFieldPhysicsConvertToScreen(List<Point> in_list_point, int in_screen_width, int in_screen_height, Point in_physics_point)
        {
            //先确定单个物理坐标的宽和高
            Rectangle rect_onefield_wl = GetOneFieldWidthAndHeight(in_list_point);

            //找出最小的x,y用来做偏移运算
            int i_offset_x = 1000000000;
            int i_offset_y = 1000000000;

            //先取出最小的x,y
            for (int i = 0; i < in_list_point.Count; i++)
            {
                if (i_offset_x > in_list_point[i].X)
                {
                    i_offset_x = in_list_point[i].X;
                }
                if (i_offset_y > in_list_point[i].Y)
                {
                    i_offset_y = in_list_point[i].Y;
                }
            }

            List<Point> list_point = new List<Point>();
            //将各Field的OTS坐标与屏幕左上角的坐标进行相减，取出与屏幕左上角的偏移量，也就是取出了屏幕坐标
            int index = 0;
            for (int i = 0; i < in_list_point.Count; i++)
            {
                list_point.Add(new Point(in_list_point[i].X - i_offset_x, in_list_point[i].Y - i_offset_y));

                //根据物理坐标的对应关系，找到了在数组中的位置,下面将用该位置对应得出像素坐标的位置，并进行返回
                if (in_list_point[i] == in_physics_point)
                {
                    index = i;
                }
            }

            //再将物理像素list_point换算成像素list_point，再用index定位
            for (int i = 0; i < list_point.Count; i++)
            {
                //将单个物理像素变换成屏幕像素分辨率
                int i_bs_x = 0;
                int i_bs_y = 0;
                if (rect_onefield_wl.Width != 0)
                    i_bs_x = list_point[i].X / rect_onefield_wl.Width;
                if (rect_onefield_wl.Height != 0)
                    i_bs_y = list_point[i].Y / rect_onefield_wl.Height;

                //再将屏幕像素分辨率按倍数赋值给list_point
                //考虑到OTS坐标整体是Y轴向上为正，所以这里需要根据总高，减y轴就是向上为正
                list_point[i] = new Point(in_screen_width * i_bs_x, in_screen_height * i_bs_y);
            }

            #region Y轴向上为正转换---------------------------------------------------------------------------------------
            //但上面由于相减，会出现y轴为负的情况，所以这里要根据Y轴是否出现负值，再次做偏移运算
            //找到最小的y轴,也就是  [Y轴偏移量]
            int i_offset_y_second = 100000000;
            //找到最大的Y轴，用于做相反运算,Y轴向上
            int i_screen_y = -100000000;
            for (int i = 0; i < list_point.Count; i++)
            {
                if (i_offset_y_second > list_point[i].Y)
                {
                    i_offset_y_second = list_point[i].Y;//这个偏移Y就是最小的Y，可能是负数，也可能是0
                }
                if (i_screen_y < list_point[i].Y)
                {
                    i_screen_y = list_point[i].Y;
                }
            }

            //对Y轴进行反转，OTS坐标向屏幕坐标转换
            for (int i = 0; i < list_point.Count; i++)
            {
                list_point[i] = new Point(list_point[i].X, i_screen_y - list_point[i].Y);
            }

            //再将所有的Field与这个 [Y轴偏移量] 相加，防止OTS向上为正转换屏幕坐标，造成的Y轴为负的情况
            for (int i = 0; i < list_point.Count; i++)
            {
                list_point[i] = new Point(list_point[i].X, list_point[i].Y + Math.Abs(i_offset_y_second));
            }
            #endregion Y轴向上为正转换结束--------------------------------------------------------------------------

            return list_point[index];
        }
        /// <summary>
        /// 根据type,从三种分类的分析库中提取当前分析物的颜色
        /// </summary>
        /// <param name="in_cotssampleclr"></param>
        /// <param name="in_stdtypeid"></param>
        /// <returns></returns>
        public Color GetColorBySTDTypeIDForBSEAndSorImage(string in_cotssampleclr, int in_stdtypeid)
        {
            Color ret_c = new Color();


            if (in_stdtypeid < 1000)
            {
                OTSSysSTDMgrClass osc = new OTSSysSTDMgrClass();
                //小于1000，使用系统默认分类
                ret_c = osc.GetColorByEnum(in_stdtypeid);
            }
            else if (in_stdtypeid >= 1000)
            {
                //大于等于1000，并且小于10000时，使用用户标准库来分析夹杂物名称
                if (!in_cotssampleclr.Contains("#"))
                {
                    ret_c = DrawFunction.colorHx16toRGB("#" + in_cotssampleclr);//接收必须是#000000的格式
                }
                else
                {
                    ret_c = DrawFunction.colorHx16toRGB(in_cotssampleclr);//接收必须是#000000的格式
                }
            }
            return ret_c;
        }


        /// <summary>
        /// 计算像素总画面Image大小，及进行物理坐标与分辨率坐标的换算操作 传入物理坐标，及宽高，来
        /// </summary>
        /// <param name="in_list_point">传入的物理坐标数组</param>
        /// <param name="width">单个field宽</param>
        /// <param name="height">单个field高</param>
        /// <returns></returns>
        public Rectangle ConvertAndGetMaxRect(List<Point> in_list_point, int in_width, int in_height)
        {
            //首先要能确定下来，单个物理坐标的宽和高--------------------------------
            int i_wl_width = 0;
            int i_wl_height = 0;

            Rectangle ls_r = GetOneFieldWidthAndHeight(in_list_point);
            i_wl_width = ls_r.Width;
            i_wl_height = ls_r.Height;
            //-----------------------------------------------------------------------------

            int point_x_min = 10000000;
            int point_x_max = -10000000;
            int point_y_min = 10000000;
            int point_y_max = -10000000;

            for (int i = 0; i < in_list_point.Count(); i++)
            {
                Point ls_point = in_list_point[i];
                //取出正数最大x
                if (ls_point.X > point_x_max)
                    point_x_max = ls_point.X;
                if (ls_point.Y > point_y_max)
                    point_y_max = ls_point.Y;
                if (ls_point.X < point_x_min)
                    point_x_min = ls_point.X;
                if (ls_point.Y < point_y_min)
                    point_y_min = ls_point.Y;
            }

            //然后分别用最大值+abs(最小值),就是x,和y轴的总长值
            point_x_max = point_x_max - point_x_min;
            point_y_max = point_y_max - point_y_min;

            //该算法有个问题，就是不能直观的得到整个范围的大小，要除以倍数再补1能补充缺少的一个field视域**********
            point_x_max = ((point_x_max / i_wl_width) + 1) * i_wl_width;
            point_y_max = ((point_y_max / i_wl_height) + 1) * i_wl_height;

            //将物理宽高，变换成分辨率宽高
            if (i_wl_width != 0) point_x_max = (point_x_max / i_wl_width) * in_width; else point_x_max = 0;
            if (i_wl_height != 0) point_y_max = (point_y_max / i_wl_height) * in_height; else point_y_max = 0;

            Rectangle ret_rectangle = new Rectangle(0, 0, 0, 0);
            //判断一下防止出错，只有在有数据的情况下，进行赋值才行
            if (in_list_point.Count > 0)
            {
                ret_rectangle = new Rectangle(0, 0, point_x_max, point_y_max);
            }

            //这样返回是物理坐标的总大小，应该返回像素坐标大小才对
            return ret_rectangle;
        }
        /// <summary>
        /// 计算单个field的物理大小 传入field的list,还有测量结果管理类对象，在无法计算出单file的物理大小的情况下，到这里取再计算得出
        /// </summary>
        /// <returns></returns>
        public Rectangle GetOneFieldWidthAndHeight(List<Point> in_list_point)
        {
            int i_wl_width_max = -10000000;
            int i_wl_height_max = -10000000;

            int i_wl_width_max2 = -10000000;
            int i_wl_height_max2 = -10000000;

            //先找出最大的值，
            for (int i = 0; i < in_list_point.Count(); i++)
            {
                if (i_wl_width_max < in_list_point[i].X)
                    i_wl_width_max = in_list_point[i].X;
                if (i_wl_height_max < in_list_point[i].Y)
                    i_wl_height_max = in_list_point[i].Y;
            }

            //再找出第二大的值
            for (int i = 0; i < in_list_point.Count(); i++)
            {
                if (i_wl_width_max2 < in_list_point[i].X && i_wl_width_max != in_list_point[i].X)
                    i_wl_width_max2 = in_list_point[i].X;
                if (i_wl_height_max2 < in_list_point[i].Y && i_wl_height_max != in_list_point[i].Y)
                    i_wl_height_max2 = in_list_point[i].Y;
            }

            //需要针对第二大的值，获取时进行判断，感觉这里应该如果并未找到第二大的值的情况下，赋于0值，便于以后进行计算
            if (i_wl_width_max2 == -10000000)
                i_wl_width_max2 = 0;
            if (i_wl_height_max2 == -10000000)
                i_wl_height_max2 = 0;

            Rectangle ret_rect = new Rectangle(0, 0, i_wl_width_max - i_wl_width_max2, i_wl_height_max - i_wl_height_max2);

            //如果最后计算出的宽高有0则重新到测量数据中获取---------------------------------------
            if (ret_rect.Width == 0 || ret_rect.Height == 0)
            {

                //到参数中去取单个宽
                double d_onefilesize_width = Convert.ToDouble(((Dictionary<string, object>)resultFile.ResultInfo["SEMStageData"])["scanFieldSize"]);
                //然后再用单个宽去计算出高是多少
                double d_onefilesize_height = 0;
                if (d_onefilesize_width != 0)
                    d_onefilesize_height = (d_onefilesize_width / 4) * 3;

                ret_rect.Width = (int)d_onefilesize_width;
                ret_rect.Height = (int)d_onefilesize_height;
            }
            ///-----------because all the  fields 's height/width=0.75 so here we make an enforce. gsp add at 2019/10/31
            ///sometimes the gbfields are not conform to this for the cuting and merging operation.
            //if (ret_rect.Height / ret_rect.Width != 0.75f)
            //{
            //    ret_rect = new Rectangle(ret_rect.X, ret_rect.Y, ret_rect.Width, (int)(ret_rect.Width * 0.75f));
            //}
            return ret_rect;
        }



        #endregion

        #region 电镜操作相关方法
        /// <summary>
        /// 连接电镜,分布图使用
        /// </summary>
        public void ConnectToSEM()
        {
           
         
            log.Trace("(Connection_ForDrawDistrbutionImageAndBSE)" + "Connect to SEM");
            if (!m_SEMConnectionState)
            {


                //和电镜建立通讯连接
                m_SEMConnectionState = m_cfun.Connect();
             
                log.Trace("(Connection_ForDrawDistrbutionImageAndBSE)" + "Connect to SEM" + ":--" + m_SEMConnectionState + "---");

        
            }
            else
            {
             
                log.Trace("(Connection_ForDrawDistrbutionImageAndBSE)" + ":allready connected, state:" + m_SEMConnectionState);
                //断开电镜连接
            }
        }
        public void DisConnectSEM()
        {
            m_SEMConnectionState = false;
            m_cfun.DisConnect();
        }


            /// <summary>
            /// 移动电镜到指定的X,Y坐标上，R坐标使用原先的值进行移动
            /// </summary>
            /// <param name="PositionX"></param>
            /// <param name="PositionY"></param>
            public void MoveSemToPointXY(double in_PositionX, double in_PositionY)
        {
            
            log.Trace("Begin MoveSemToPointXY:(" +in_PositionX.ToString()+","+in_PositionY.ToString()+")");

            //首先获取电镜当前的位置，并记录原R值
            double ls_PositionX = 0;
            double ls_PositionY = 0;
            double ls_PositionR = 0;

            if (m_SEMConnectionState)
            {
                m_cfun.GetSemPositionXY(ref ls_PositionX, ref ls_PositionY, ref ls_PositionR);
            }
            else
            {
                log.Error("Failed to GetSemPositionXY");
                return;
            }

            if (m_SEMConnectionState)
            {
                m_cfun.MoveSEMToPoint(new Point((int)in_PositionX, (int)in_PositionY), ls_PositionR);
            }
           
        }

      

       
        #endregion

        #region //--------------------------------------颗粒分布图相关部份---------------------------------------------------------------------
        /// <summary>
        /// 传入颗粒的tagid和fieldid,来获取该颗粒下对应的xray数据
        /// </summary>
        /// <param name="in_clr_tagid"></param>
        /// <param name="in_clr_fieldid"></param>
        /// <param name="Search_xray"></param>
        /// <param name="Analysis_xray"></param>
        public void GetXrayByParticleTagIDAndFieldID_ForDrawDistrbutionImageAndBSE(int in_clr_tagid, int in_clr_fieldid, out uint[] Search_xray, out uint[] Analysis_xray, out int xray_id, out List<Element> list_celementchemistryclr)
        {

            Search_xray = new uint[2000];
            Analysis_xray = new uint[2000];
            xray_id = 0;
            list_celementchemistryclr = new List<Element>();

            //防止为空校验判断
            if (m_list_OTSField == null)
                return;
            Particle particle = m_list_OTSField.Find(x => x.FieldID == in_clr_fieldid).ParticleList.Find(x => x.ParticleId == in_clr_tagid);
            var tmpPart = new ParticleData(resultFile.FilePath).GetParticleXrayDataByFidAndPid(Convert.ToString(particle.FieldId), Convert.ToString(particle.XrayId));
            particle.XRayData = tmpPart.XRayData;
            if (particle.XrayId > -1)
            {
                for (int i = 0; i < 2000; i++)
                {
                    Analysis_xray[i] = BitConverter.ToUInt32(particle.XRayData, i * 4);
                }

                Search_xray = Analysis_xray;
                xray_id = particle.XrayId;
                list_celementchemistryclr = particle.ElementList;
            }

        }


        /// <summary>
        /// 传入所有的物理field坐标点，和单个物理field的宽高，返回所有field的左上角位置，和整个field组成的rect大小
        /// </summary>
        /// <param name="in_list_point"></param>
        /// <param name="in_width"></param>
        /// <param name="in_height"></param>
        /// <returns></returns>
        public Rectangle GetWlRectTopLeftAndRect(List<Point> in_list_point, int in_width, int in_height)
        {
            //分别获取整个rect的xy最小值和最大值
            int i_rect_x_min = 100000000;
            int i_rect_y_min = 100000000;
            int i_rect_x_max = -100000000;
            int i_rect_y_max = -100000000;

            for (int i = 0; i < in_list_point.Count; i++)
            {
                if (i_rect_x_min > in_list_point[i].X)
                    i_rect_x_min = in_list_point[i].X;

                if (i_rect_y_min > in_list_point[i].Y)
                    i_rect_y_min = in_list_point[i].Y;

                if (i_rect_x_max < in_list_point[i].X)
                    i_rect_x_max = in_list_point[i].X;

                if (i_rect_y_max < in_list_point[i].Y)
                    i_rect_y_max = in_list_point[i].Y;
            }

            Rectangle ret_rect = new Rectangle(i_rect_x_min, i_rect_y_min,
    i_rect_x_max - i_rect_x_min, i_rect_y_max - i_rect_y_min);

            return ret_rect;
        }

        /// <summary>
        /// 根据Field的ID，来获取Field列表中对应FIeld的OTS 坐标
        /// </summary>
        /// <param name="in_fieldid"></param>
        /// <returns></returns>
        public Point GetOTSPointByFieldID(List<DField> in_list_dfield, int in_fieldid)
        {
            Point ret_point = new Point(0, 0);
            for (int i = 0; i < in_list_dfield.Count; i++)
            {
                //这里TagID先代表的是底层返回的ID
                if (in_list_dfield[i].FieldID == in_fieldid.ToString())
                {
                    ret_point = new Point(Convert.ToInt32(in_list_dfield[i].OTS_RECT.X), Convert.ToInt32(in_list_dfield[i].OTS_RECT.Y));
                }
            }

            return ret_point;
        }


        /// <summary>
        /// 将OTS坐标转换为Sem 坐标
        /// </summary>
        /// <param name="POTSCoord"></param>
        /// <returns></returns>
        public Point ChangeOTSToSemCoord(Point POTSCoord)
        {
            //first if m_semstagedata is null to get stage inforation
            Convert.ToDouble(((Dictionary<string, object>)resultFile.ResultInfo["SEMStageData"])["scanFieldSize"]);
            //after obtaining stage info,calc stage point data
            Point ret_SEM_point = new Point();

            // get center point, um
            long xStart = Convert.ToInt64(((Dictionary<string, object>)((Dictionary<string, object>)((Dictionary<string, object>)resultFile.ResultInfo["SEMStageData"])["Members"])["XAxis"])["start"]);
            long xEnd = Convert.ToInt64(((Dictionary<string, object>)((Dictionary<string, object>)((Dictionary<string, object>)resultFile.ResultInfo["SEMStageData"])["Members"])["XAxis"])["end"]);

            long xCenter = (xStart + xEnd) / 2;

            long yStart = Convert.ToInt64(((Dictionary<string, object>)((Dictionary<string, object>)((Dictionary<string, object>)resultFile.ResultInfo["SEMStageData"])["Members"])["YAxis"])["start"]);
            long yEnd = Convert.ToInt64(((Dictionary<string, object>)((Dictionary<string, object>)((Dictionary<string, object>)resultFile.ResultInfo["SEMStageData"])["Members"])["YAxis"])["end"]);

            long yCenter = (yStart + yEnd) / 2;

            // delte = SEM - OTSa
            long deltex = xCenter - 0;
            long deltey = yCenter - 0;
            int xdir = Convert.ToInt32(((Dictionary<string, object>)resultFile.ResultInfo["SEMStageData"])["xAxisDir"]);
            int ydir = Convert.ToInt32(((Dictionary<string, object>)resultFile.ResultInfo["SEMStageData"])["yAxisDir"]);
            if (xdir == (int)OTS_X_AXIS_DIRECTION.LEFT_TOWARD)
            {
                ret_SEM_point.X = -1 * (POTSCoord.X - Convert.ToInt32(deltex));
            }
            else if (xdir == (int)OTS_X_AXIS_DIRECTION.RIGHT_TOWARD)
            {
                ret_SEM_point.X = POTSCoord.X + Convert.ToInt32(deltex);
            }

            if (ydir == (int)OTS_Y_AXIS_DIRECTION.UP_TOWARD)
            {
                ret_SEM_point.Y = POTSCoord.Y + Convert.ToInt32(deltey);
            }
            else if (ydir == (int)OTS_Y_AXIS_DIRECTION.DOWN_TOWARD)
            {
                ret_SEM_point.Y = -1 * (POTSCoord.Y - Convert.ToInt32(deltey));
            }

            return ret_SEM_point;
        }






        #endregion
        /// <summary>
        /// 判断该点是否在多边形的范围内
        /// </summary>
        /// <param name="inPoints"></param>
        /// <param name="WhetherPoint"></param>
        /// <returns></returns>
        public bool WhetherInRange(DParticle Part,/*PointF[] inPoints,*/ Point WhetherPoint)
        {
            var rect = Part.Rect;
            if ((rect.Left < WhetherPoint.X && WhetherPoint.X < rect.Right) && (rect.Top < WhetherPoint.Y && WhetherPoint.Y < rect.Bottom))
            {
                var itm = (BaseObject)Part;
                PointF[] inPoints = itm.GPath.PathPoints;
                bool b_inrange = false;
                GraphicsPath myGraphicsPath = new GraphicsPath();
                Region myRegion = new Region();
                myGraphicsPath.Reset();

                myGraphicsPath.AddPolygon(inPoints);
                myRegion.MakeEmpty();
                myRegion.Union(myGraphicsPath);
                //返回判断点是否在多边形里
                b_inrange = myRegion.IsVisible(WhetherPoint);
                return b_inrange;
            }
            else
            {
                return false;

            }

        }

        /// <summary>
        /// 判断该点是否在多边形的范围内的float版本重载
        /// </summary>
        /// <param name="inPoints"></param>
        /// <param name="WhetherPoint"></param>
        /// <returns></returns>
        public  bool WhetherInRange(DParticle Part,/* PointF[] inPoints, */PointF WhetherPoint)
        {
            var rect = Part.Rect;
            if ((rect.Left < WhetherPoint.X && WhetherPoint.X < rect.Right) && (rect.Top < WhetherPoint.Y && WhetherPoint.Y < rect.Bottom))
            {
                var itm = (BaseObject)Part;
                PointF[] inPoints = itm.GPath.PathPoints;
                bool b_inrange = false;
                GraphicsPath myGraphicsPath = new GraphicsPath();
                Region myRegion = new Region();
                myGraphicsPath.Reset();

                myGraphicsPath.AddPolygon(inPoints);
                myRegion.MakeEmpty();
                myRegion.Union(myGraphicsPath);
                //返回判断点是否在多边形里
                b_inrange = myRegion.IsVisible(WhetherPoint);
                return b_inrange;
            }
            else
            {
                return false;
            }
        }

        #region //--------------------------------------颗粒排序图相关部份---------------------------------------------------------------------


        /// <summary>
        /// 根据传入的fieldid和tagid返回该颗粒的OTS坐标
        /// </summary>
        /// <param name="in_fieldid"></param>
        /// <param name="in_tagid"></param>
        /// <returns></returns>
        public Point GetOTSPointFromOld_list_sortparticledistribution(int in_fieldid, int in_tagid, Control_DrawDistrbutionSortImage in_control_drawdistrbutionsortimage)
        {
            Point ret_point = new Point(0, 0);
            if (m_list_OTSField != null)
            {
                Field field = m_list_OTSField.Find(x => x.FieldID == in_fieldid);

                ret_point = new Point() { X = field.FieldPosX, Y = field.FieldPosY };

            }

            return ret_point;
        }


       


       

       

        #endregion


    }
}