using OpenCvSharp;
using Spire.OCR;
using Spire.Pdf;
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;
using System.IO;
using System.Linq;
using System.Reflection;
using System.Text;
using System.Threading.Tasks;


namespace GZ.LJY000.PiLot
{
    public static class HandleQRCodeByFileTool
    {

        /// <summary>
        /// 识别二维码
        /// </summary>
        /// <param name="src"></param>
        /// <param name="region"></param>
        /// <param name="isReturn"></param>
        /// <returns></returns>
        private static AnalyzeResult DecodeQRCodes(Mat src, Rect region, bool isReturn)
        {
            AnalyzeResult analyzeResult = null;

            // 裁剪指定区域
            using (Mat roi = new Mat(src, region))
            {
                // 转为灰度图像
                using (Mat gray = new Mat())
                {
                    Cv2.CvtColor(roi, gray, ColorConversionCodes.BGR2GRAY);

                    // 二值化处理
                    using (Mat binary = new Mat())
                    {
                        Cv2.Threshold(gray, binary, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);

                        //二维码识别
                        using (QRCodeDetector qRCodeDetector = new QRCodeDetector())
                        {
                            Point2f[] points;
                            var hasQRCode = qRCodeDetector.DetectMulti(binary, out points);
                            if (hasQRCode)
                            {
                                qRCodeDetector.DecodeMulti(binary, points, out string[] qrCodeTexts);

                                analyzeResult = new AnalyzeResult();
                                analyzeResult.name = qrCodeTexts[0];
                                analyzeResult.points = points;
                            }
                            else
                            {
                                if (isReturn)
                                    return null;

                                var srcWidth = roi.Width;
                                var srcHeight = roi.Height;
                                int x = srcWidth / 2;
                                int y = 0;
                                int width = srcWidth / 2;
                                int height = srcHeight / 2;

                                var newRegion = new Rect(x, y, width, height);

                                analyzeResult = DecodeQRCodes(roi, newRegion, true);
                            }
                        }
                    }
                }

            }

            return analyzeResult;
        }

        public class AnalyzeResult
        {
            public string fileName { get; set; }

            public string name { get; set; }

            public Point2f[] points { get; set; }

        }
    }
}