/*! jscanify v1.3.2 | (c) ColonelParrot and other contributors | MIT License */

const { Canvas, createCanvas, Image, ImageData } = require("canvas");
const { JSDOM } = require("jsdom");

function installDOM() {
  const dom = new JSDOM();

  global.document = dom.window.document;
  global.Image = Image;
  global.HTMLCanvasElement = Canvas;
  global.ImageData = ImageData;
  global.HTMLImageElement = Image;
}

let cv;

/**
 * Calculates distance between two points. Each point must have `x` and `y` property
 * @param {*} p1 point 1
 * @param {*} p2 point 2
 * @returns distance between two points
 */
function distance(p1, p2) {
  return Math.hypot(p1.x - p2.x, p1.y - p2.y);
}

class jscanify {
  constructor() {
    installDOM();
  }

  loadOpenCV(callback) {
    cv = require("./opencv");
    cv["onRuntimeInitialized"] = () => {
      callback(cv);
    };
  }

  /**
   * Finds the contour of the paper within the image
   * @param {*} img image to process (cv.Mat)
   * @returns the biggest contour inside the image
   */
  findPaperContour(img) {
    const imgGray = new cv.Mat();
    cv.Canny(img, imgGray, 50, 200);

    const imgBlur = new cv.Mat();
    cv.GaussianBlur(
      imgGray,
      imgBlur,
      new cv.Size(3, 3),
      0,
      0,
      cv.BORDER_DEFAULT
    );

    const imgThresh = new cv.Mat();
    cv.threshold(imgBlur, imgThresh, 0, 255, cv.THRESH_BINARY + cv.THRESH_OTSU);

    let contours = new cv.MatVector();
    let hierarchy = new cv.Mat();

    cv.findContours(
      imgThresh,
      contours,
      hierarchy,
      cv.RETR_CCOMP,
      cv.CHAIN_APPROX_SIMPLE
    );
    
    let maxArea = 0;
    let maxContourIndex = -1;
    for (let i = 0; i < contours.size(); ++i) {
      let contourArea = cv.contourArea(contours.get(i));
      if (contourArea > maxArea) {
        maxArea = contourArea;
        maxContourIndex = i;
      }
    }

    const maxContour = contours.get(maxContourIndex);

    imgGray.delete();
    imgBlur.delete();
    imgThresh.delete();
    contours.delete();
    hierarchy.delete();
    return maxContour;
  }

  /**
   * Highlights the paper detected inside the image.
   * @param {*} image image to process
   * @param {*} options options for highlighting. Accepts `color` and `thickness` parameter
   * @returns `HTMLCanvasElement` with original image and paper highlighted
   */
  highlightPaper(image, options) {
    options = options || {};
    options.color = options.color || "orange";
    options.thickness = options.thickness || 10;
    const canvas = createCanvas();
    const ctx = canvas.getContext("2d");
    const img = cv.imread(image);

    const maxContour = this.findPaperContour(img);
    cv.imshow(canvas, img);
    if (maxContour) {
      const {
        topLeftCorner,
        topRightCorner,
        bottomLeftCorner,
        bottomRightCorner,
      } = this.getCornerPoints(maxContour, img);

      if (
        topLeftCorner &&
        topRightCorner &&
        bottomLeftCorner &&
        bottomRightCorner
      ) {
        ctx.strokeStyle = options.color;
        ctx.lineWidth = options.thickness;
        ctx.beginPath();
        ctx.moveTo(...Object.values(topLeftCorner));
        ctx.lineTo(...Object.values(topRightCorner));
        ctx.lineTo(...Object.values(bottomRightCorner));
        ctx.lineTo(...Object.values(bottomLeftCorner));
        ctx.lineTo(...Object.values(topLeftCorner));
        ctx.stroke();
      }
    }

    img.delete();
    return canvas;
  }

  /**
   * Extracts and undistorts the image detected within the frame.
   * @param {*} image image to process
   * @param {*} resultWidth desired result paper width
   * @param {*} resultHeight desired result paper height
   * @param {*} cornerPoints optional custom corner points, in case automatic corner points are incorrect
   * @returns `HTMLCanvasElement` containing undistorted image
   */
  extractPaper(image, resultWidth, resultHeight, cornerPoints) {
    const canvas = createCanvas();
    const img = cv.imread(image);
    const maxContour = this.findPaperContour(img);
    const {
      topLeftCorner,
      topRightCorner,
      bottomLeftCorner,
      bottomRightCorner,
    } = cornerPoints || this.getCornerPoints(maxContour, img);
    let warpedDst = new cv.Mat();
    let dsize = new cv.Size(resultWidth, resultHeight);
    let srcTri = cv.matFromArray(4, 1, cv.CV_32FC2, [
      topLeftCorner.x,
      topLeftCorner.y,
      topRightCorner.x,
      topRightCorner.y,
      bottomLeftCorner.x,
      bottomLeftCorner.y,
      bottomRightCorner.x,
      bottomRightCorner.y,
    ]);
    let dstTri = cv.matFromArray(4, 1, cv.CV_32FC2, [
      0,
      0,
      resultWidth,
      0,
      0,
      resultHeight,
      resultWidth,
      resultHeight,
    ]);
    let M = cv.getPerspectiveTransform(srcTri, dstTri);
    cv.warpPerspective(
      img,
      warpedDst,
      M,
      dsize,
      cv.INTER_LINEAR,
      cv.BORDER_CONSTANT,
      new cv.Scalar()
    );

    cv.imshow(canvas, warpedDst);

    img.delete();
    warpedDst.delete();
    return canvas;
  }

  /**
   * Calculates the corner points of a contour.
   * @param {*} contour contour from {@link findPaperContour}
   * @returns object with properties `topLeftCorner`, `topRightCorner`, `bottomLeftCorner`, `bottomRightCorner`, each with `x` and `y` property
   */
  getCornerPoints(contour) {
    let rect = cv.minAreaRect(contour);
    const center = rect.center;

    let topLeftCorner;
    let topLeftCornerDist = 0;

    let topRightCorner;
    let topRightCornerDist = 0;

    let bottomLeftCorner;
    let bottomLeftCornerDist = 0;

    let bottomRightCorner;
    let bottomRightCornerDist = 0;

    for (let i = 0; i < contour.data32S.length; i += 2) {
      const point = { x: contour.data32S[i], y: contour.data32S[i + 1] };
      const dist = distance(point, center);
      if (point.x < center.x && point.y < center.y) {
        // top left
        if (dist > topLeftCornerDist) {
          topLeftCorner = point;
          topLeftCornerDist = dist;
        }
      } else if (point.x > center.x && point.y < center.y) {
        // top right
        if (dist > topRightCornerDist) {
          topRightCorner = point;
          topRightCornerDist = dist;
        }
      } else if (point.x < center.x && point.y > center.y) {
        // bottom left
        if (dist > bottomLeftCornerDist) {
          bottomLeftCorner = point;
          bottomLeftCornerDist = dist;
        }
      } else if (point.x > center.x && point.y > center.y) {
        // bottom right
        if (dist > bottomRightCornerDist) {
          bottomRightCorner = point;
          bottomRightCornerDist = dist;
        }
      }
    }

    return {
      topLeftCorner,
      topRightCorner,
      bottomLeftCorner,
      bottomRightCorner,
    };
  }
}

module.exports = jscanify;