using Microsoft.Win32;
using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Data;
using System.Drawing;
using System.Windows.Forms;
namespace PaintDotNet.DedicatedAnalysis.DuctileIron.Common
{
    internal partial class AppCommon
    {
        List<OpenCvSharp.Point[][]> points;//各个视场石墨轮廓集合
        List<List<int>> lstAttribute;//各个视场属性集合，索引0-横坐标，1-纵坐标，2-视场宽度，3-视场高度，4-视场面积
        List<int> attribute;//单视场属性集合
        List<HierarchyIndex[]> hierarchyIndices;

        /// <summary>
        /// 获取视场相关信息
        /// </summary>
        /// <param name="appWorkspace">主控件</param>
        /// <param name="binarizationMat">相</param>
        /// <param name="listView1">图片集合</param>
        /// <param name="documentWorkspace">画布</param>
        /// <param name="points">石墨轮廓集合</param>
        /// <param name="lstAttribute">各个视场属性集合，索引0-横坐标，1-纵坐标，2-视场宽度，3-视场高度，4-视场面积</param>
        /// <param name="sumFieldl">视场个数</param>
        public void MultiFieldView(AppWorkspace appWorkspace,Mat binarizationMat, ListView listView1, DocumentWorkspaceWindow documentWorkspace,out List<OpenCvSharp.Point[][]> points,out List<List<int>> lstAttribute,out int sumFieldl)
        {
            points = new List<OpenCvSharp.Point[][]>();
            lstAttribute = new List<List<int>>();
            hierarchyIndices = new List<HierarchyIndex[]>();
            //寻找并标记区域个数
            Mat labelMat = new Mat();
            Mat stats = new Mat();
            Mat centroids = new Mat();
            Bitmap bitmap = appWorkspace.DocumentWorkspaces[listView1.FocusedItem.Index].GetCutSizeWithColorWhiteOrTransparentColor(false);
            Mat oldMap = OpenCvSharp.Extensions.BitmapConverter.ToMat(bitmap);
            int nonenum = Cv2.ConnectedComponentsWithStats(BinaryClass.BGRA2GRAY(oldMap)/*.CvtColor(ColorConversionCodes.BGR2GRAY)*/, labelMat, stats, centroids, PixelConnectivity.Connectivity8);
            

            //视场个数
            sumFieldl = centroids.Height - 1;


            if (documentWorkspace.GraphicsList.IsExsitView())
            {

                for (int h = 1; h < centroids.Height; h++)
                {
                    attribute = new List<int>();
                    int x = stats.At<int>(h, 0);
                    int y = stats.At<int>(h, 1);
                    int width = stats.At<int>(h, 2);
                    int height = stats.At<int>(h, 3);
                    int areaField1 = stats.At<int>(h, 4);
                    attribute.Add(x);
                    attribute.Add(y);
                    attribute.Add(width);
                    attribute.Add(height);
                    attribute.Add(areaField1);

                    lstAttribute.Add(attribute);
                    //double areaField = areaField1 * unitLength * unitLength;
                    if (x < 0 || y < 0 || width > bitmap.Width || height > bitmap.Height)
                    {
                        continue;
                    }

                    Rect roi1 = new Rect();
                    Mat ImageROI1 = new Mat();

                    try
                    {
                        roi1 = new Rect(x, y, width, height);
                        ImageROI1 = new Mat(binarizationMat, roi1).Clone();
                        for (int label_y = 0; label_y < height; label_y++)
                        {
                            for (int label_x = 0; label_x < width; label_x++)
                            {
                                if (labelMat.At<int>(y + label_y, x + label_x) != h)
                                {
                                    ImageROI1.Set(label_y, label_x, new Vec4b(0, 0, 0, 0));
                                }
                            }
                        }
                    }
                    catch (Exception)
                    {
                        ImageROI1 = oldMap;
                    }

                    OpenCvSharp.Point[][] contours = null;
                    HierarchyIndex[] hierarchy = null;
                    Mat mat = Mat.FromImageData(ImageROI1.ToBytes(), ImreadModes.Grayscale);
                    Cv2.FindContours(mat, out contours, out hierarchy, RetrievalModes.External, ContourApproximationModes.ApproxNone);
                    points.Add(contours);
                    hierarchyIndices.Add(hierarchy);
                }
            }
        }

        /// <summary>
        /// 获取视场相关信息
        /// </summary>
        /// <param name="appWorkspace">主控件</param>
        /// <param name="binarizationMat">相</param>
        /// <param name="listView1">图片集合</param>
        /// <param name="documentWorkspace">画布</param>
        /// <param name="points">石墨轮廓集合</param>
        /// <param name="lstAttribute">各个视场属性集合，索引0-横坐标，1-纵坐标，2-视场宽度，3-视场高度，4-视场面积</param>
        /// <param name="sumFieldl">视场个数</param>
        public void MultiFieldView(AppWorkspace appWorkspace, Mat binarizationMat, ListView listView1, DocumentWorkspaceWindow documentWorkspace, out List<OpenCvSharp.Point[][]> points, out List<List<int>> lstAttribute, out int sumFieldl, out List<HierarchyIndex[]> hierarchyIndices)
        {
            points = new List<OpenCvSharp.Point[][]>();
            lstAttribute = new List<List<int>>();
            hierarchyIndices = new List<HierarchyIndex[]>();
            //寻找并标记区域个数
            Mat labelMat = new Mat();
            Mat stats = new Mat();
            Mat centroids = new Mat();
            Bitmap bitmap = appWorkspace.DocumentWorkspaces[listView1.FocusedItem.Index].GetCutSizeWithColorWhiteOrTransparentColor(false);
            Mat oldMap = OpenCvSharp.Extensions.BitmapConverter.ToMat(bitmap);
            int nonenum = Cv2.ConnectedComponentsWithStats(BinaryClass.BGRA2GRAY(oldMap)/*.CvtColor(ColorConversionCodes.BGR2GRAY)*/, labelMat, stats, centroids, PixelConnectivity.Connectivity8);


            //视场个数
            sumFieldl = centroids.Height - 1;


            if (documentWorkspace.GraphicsList.IsExsitView())
            {

                for (int h = 1; h < centroids.Height; h++)
                {
                    attribute = new List<int>();
                    int x = stats.At<int>(h, 0);
                    int y = stats.At<int>(h, 1);
                    int width = stats.At<int>(h, 2);
                    int height = stats.At<int>(h, 3);
                    int areaField1 = stats.At<int>(h, 4);
                    attribute.Add(x);
                    attribute.Add(y);
                    attribute.Add(width);
                    attribute.Add(height);
                    attribute.Add(areaField1);

                    lstAttribute.Add(attribute);
                    //double areaField = areaField1 * unitLength * unitLength;
                    if (x < 0 || y < 0 || width > bitmap.Width || height > bitmap.Height)
                    {
                        continue;
                    }

                    Rect roi1 = new Rect();
                    Mat ImageROI1 = new Mat();

                    try
                    {
                        roi1 = new Rect(x, y, width, height);
                        ImageROI1 = new Mat(binarizationMat, roi1).Clone();
                        for (int label_y = 0; label_y < height; label_y++)
                        {
                            for (int label_x = 0; label_x < width; label_x++)
                            {
                                if (labelMat.At<int>(y + label_y, x + label_x) != h)
                                {
                                    ImageROI1.Set(label_y, label_x, new Vec4b(0, 0, 0, 0));
                                }
                            }
                        }
                    }
                    catch (Exception)
                    {
                        ImageROI1 = oldMap;
                    }

                    OpenCvSharp.Point[][] contours = null;
                    HierarchyIndex[] hierarchy = null;
                    Mat mat = Mat.FromImageData(ImageROI1.ToBytes(), ImreadModes.Grayscale);
                    Cv2.FindContours(mat, out contours, out hierarchy, RetrievalModes.External, ContourApproximationModes.ApproxNone);
                    points.Add(contours);
                    hierarchyIndices.Add(hierarchy);
                }
            }
        }
        /// <summary>
        /// 结果数据保存
        /// </summary>
        /// <param name="dataGridView1"></param>
        /// <returns>DataTable</returns>
        public DataTable ResultDataSaving(DataGridView dataGridView1)
        {
            DataTable dtDataGridView1 = new DataTable();
            DataColumn dc = null;
            for (int count = 0; count < dataGridView1.Columns.Count; count++)
            {
                dc = new DataColumn(dataGridView1.Columns[count].Name.ToString());
                dtDataGridView1.Columns.Add(dc);
            }
            for (int count = 0; count < dataGridView1.Rows.Count; count++)
            {
                DataRow dr = dtDataGridView1.NewRow();
                for (int countsub = 0; countsub < dataGridView1.Columns.Count; countsub++)
                {
                    dr[countsub] = Convert.ToString(dataGridView1.Rows[count].Cells[countsub].Value);
                }
                dtDataGridView1.Rows.Add(dr);
            }
            return dtDataGridView1;
        }

        /// <summary>
        /// 分析结果数据保存
        /// </summary>
        /// <param name="dataGridView1"></param>
        /// <param name="imgName">选中图片名称</param>
        /// <param name="tag">选中图片tag</param>
        /// <returns>DataTable</returns>
        public DataTable AnalysisDataSaving(DataGridView dataGridView1, string imgName, string tag)
        {
            DataTable dtResult = new DataTable(tag);
            DataColumn dc2 = null;
            for (int count = 0; count <= dataGridView1.Columns.Count; count++)
            {
                if (count == 0)
                {
                    dc2 = new DataColumn(PdnResources.GetString("Menu.picture.Text"));
                }
                else
                {
                    dc2 = new DataColumn(dataGridView1.Columns[count - 1].Name.ToString());
                }
                dtResult.Columns.Add(dc2);
            }
            for (int count = 0; count < dataGridView1.Rows.Count; count++)
            {
                DataRow dr = dtResult.NewRow();
                for (int countsub = 0; countsub <= dataGridView1.Columns.Count; countsub++)
                {
                    if (countsub == 0)
                    {
                        dr[countsub] = imgName;
                    }
                    else
                    {
                        dr[countsub] = Convert.ToString(dataGridView1.Rows[count].Cells[countsub - 1].Value);
                    }
                }
                dtResult.Rows.Add(dr);
            }
            return dtResult;
        }
        public void DisplayData(DataGridView dataGridView,bool whether)
        {
            for (int i = 0; i < dataGridView.Rows.Count; i++)
            {
                dataGridView.Rows[i].Visible = whether;
            }
        }
        /// <summary>
        /// 判断当前系统是否存在office
        /// </summary>
        /// <returns></returns>
        public bool CheckOffice()
        {
            bool ifused = false;
            int officeVersion = 0;

            RegistryKey rk = Registry.LocalMachine;
            RegistryKey akey07 = rk.OpenSubKey(@"SOFTWARE\Microsoft\Office\12.0\Common\InstallRoot\");//查询2007
            RegistryKey akey10 = rk.OpenSubKey(@"SOFTWARE\Microsoft\Office\14.0\Common\InstallRoot\");//查询2010
            RegistryKey akey13 = rk.OpenSubKey(@"SOFTWARE\Microsoft\Office\15.0\Common\InstallRoot\");//查询2013
            RegistryKey akey16 = rk.OpenSubKey(@"SOFTWARE\Microsoft\Office\16.0\Common\InstallRoot\");//查询2016

            //检查本机是否安装Office2007
            if (akey07 != null)
            {
                string office07 = akey07.GetValue("Path").ToString();
                if (System.IO.File.Exists(office07 + "Excel.exe"))
                {
                    ifused = true;
                    officeVersion = 2007;
                }
            }

            //检查本机是否安装Office2010
            if (akey10 != null)
            {
                string office10 = akey10.GetValue("Path").ToString();
                if (System.IO.File.Exists(office10 + "Excel.exe"))
                {
                    ifused = true;
                    officeVersion = 2010;
                }
            }

            //检查本机是否安装Office2013
            if (akey13 != null)
            {
                string office13 = akey13.GetValue("Path").ToString();
                if (System.IO.File.Exists(office13 + "Excel.exe"))
                {
                    ifused = true;
                    officeVersion = 2013;
                }

            }

            //检查本机是否安装Office2016       
            if (akey16 != null)
            {
                string office16 = akey16.GetValue("Path").ToString();
                if (System.IO.File.Exists(office16 + "Excel.exe"))
                {
                    ifused = true;
                    officeVersion = 2016;
                }
            }
            return ifused;
        }
        public bool isExcelInstalled()
        {
            try
            {
                Microsoft.Office.Interop.Excel.Application xlApp = new Microsoft.Office.Interop.Excel.Application();
                return true;
            }
            catch (Exception)
            {

                return false;
            }
            
            //Type type = Type.GetTypeFromProgID("Excel.Application");
            //return type != null;
        }
        /// <summary>
        /// 获取石墨面积
        /// </summary>
        /// <param name="tempCopy">相</param>
        /// <param name="contours">轮廓</param>
        /// <returns></returns>
        public int Area(Mat tempCopy ,OpenCvSharp.Point contours)
        {
            Rect rectCopy;
            int length = Cv2.FloodFill(tempCopy, contours, new Scalar(0, 0, 0, 0), out rectCopy, null, null, FloodFillFlags.Link8);
            return length;
        }
        /// <summary>
        /// 需要显示不同颜色的相颜色赋值
        /// </summary>
        /// <param name="mat">需要处理的相</param>
        /// <param name="lstPoint">需要处理的轮廓集合</param>
        /// <param name="colour">颜色字典</param>
        /// <param name="key">对应颜色的key</param>
        public void DifferentColor(Mat mat,List<List<OpenCvSharp.Point>> lstPoint, Dictionary<string, Color> colour,string key)
        {
            Rect rectCopy;
            for (int i = 0; i < lstPoint.Count; i++)
            {
                int length1 = Cv2.FloodFill(mat, lstPoint[i][lstPoint[i].Count - 1], new Scalar(colour[key].B, colour[key].G, colour[key].R), out rectCopy, null, null, FloodFillFlags.Link8);
            }
        }
        /// <summary>
        /// 需要显示不同颜色的相颜色赋值
        /// </summary>
        /// <param name="mat">需要处理的相</param>
        /// <param name="lstPoint">需要处理的轮廓集合</param>
        /// <param name="panel2">颜色</param>
        public void DifferentColor(Mat mat, List<OpenCvSharp.Point[]> lstPoint, Color olor)
        {
            Rect rectCopy;
            for (int i = 0; i < lstPoint.Count; i++)
            {
                int length1 = Cv2.FloodFill(mat, lstPoint[i][0], new Scalar(olor.B, olor.G, olor.R), out rectCopy, null, null, FloodFillFlags.Link8);
            }
        }
        /// <summary>
        /// 需要显示不同颜色的相颜色赋值
        /// </summary>
        /// <param name="mat">需要处理的相</param>
        /// <param name="contours">石墨轮廓</param>
        /// <param name="olor">颜色</param>
        public void DifferentColor(Mat mat, OpenCvSharp.Point contours, Color olor)
        {
            Rect rectCopy;
            int length1 = Cv2.FloodFill(mat, contours, new Scalar(olor.B, olor.G, olor.R), out rectCopy, null, null, FloodFillFlags.Link8);
        }
    }
}