// deep_diag.js - deep diagnostic using the actual PaperRecognizer internal data
const { createCanvas, loadImage } = require('canvas');
const fs = require('fs');

// Patch paper-recognizer to capture internal state
const orig = require('./paper-recognizer.js');

// We'll hook into the module by reading the source and injecting debug
const code = fs.readFileSync('./paper-recognizer.js', 'utf8');

// Write a version with debug logging at key points
const debugCode = code
  .replace(
    'const bigCands = candidates.filter(c => c.isBig && c.area >= GP.MIN_BIG_LOCATOR_AREA && c.area <= GP.MAX_BIG_LOCATOR_AREA);',
    `console.log('  [DEBUG] totalCandidates=' + candidates.length);
for (const c of candidates) console.log('    ' + (c.isBig?'BIG':'SMALL') + ' color=' + c.color + ' area=' + c.area + ' ratio=' + c.aspectRatio.toFixed(2) + ' x=' + c.center.x.toFixed(0) + ',y=' + c.center.y.toFixed(0));
const bigCands = candidates.filter(c => c.isBig && c.area >= GP.MIN_BIG_LOCATOR_AREA && c.area <= GP.MAX_BIG_LOCATOR_AREA);`
  )
  .replace(
    'const smallCands = candidates.filter(c => c.isSmall && c.area >= GP.MIN_SMALL_LOCATOR_AREA && c.area <= GP.MAX_SMALL_LOCATOR_AREA);',
    `const smallCands = candidates.filter(c => c.isSmall && c.area >= GP.MIN_SMALL_LOCATOR_AREA && c.area <= GP.MAX_SMALL_LOCATOR_AREA);
console.log('  [DEBUG] bigCands=' + bigCands.length + ' smallCands=' + smallCands.length);
for (const c of bigCands) console.log('    BIG: area=' + c.area + ' color=' + c.color + ' x=' + c.center.x.toFixed(0));
for (const c of smallCands) console.log('    SMALL: area=' + c.area + ' color=' + c.color + ' x=' + c.center.x.toFixed(0));`
  )
  .replace(
    'if (bigCands.length === 0 || smallCands.length === 0) {',
    `console.log('  [DEBUG] entering fallback check: bigs=' + bigCands.length + ' smalls=' + smallCands.length);
if (bigCands.length === 0 || smallCands.length === 0) {`
  )
  .replace(
    'return { success: false, errorCode: -3, errorMessage: \'No locators found\' };',
    `console.log('  [DEBUG] RETURN -3: no locators');
return { success: false, errorCode: -3, errorMessage: 'No locators found' };`
  )
  .replace(
    'return { success: false, errorCode: -4, errorMessage: \'No matching locator pair\' };',
    `console.log('  [DEBUG] RETURN -4: no matching pair');
return { success: false, errorCode: -4, errorMessage: 'No matching locator pair' };`
  )
  .replace(
    'const paperType = matchConfig(distRatio, areaRatio2, bigType);',
    `const paperType = matchConfig(distRatio, areaRatio2, bigType);
console.log('  [DEBUG] matchConfig: distRatio=' + distRatio.toFixed(2) + ' areaRatio=' + areaRatio2.toFixed(2) + ' bigType=' + bigType + ' paperType=' + paperType);`
  );

// Write temp file
fs.writeFileSync('./paper-recognizer-debug.js', debugCode);

const { PaperRecognizer } = require('./paper-recognizer-debug.js');

async function test(f) {
  const img = await loadImage(f);
  const c = createCanvas(img.width, img.height);
  const ctx = c.getContext('2d');
  ctx.drawImage(img, 0, 0);
  const id = ctx.getImageData(0, 0, img.width, img.height);
  const r = new PaperRecognizer();
  const result = r.recognize(new Uint8Array(id.data.buffer), img.width, img.height);
  console.log('  RESULT: ' + result.errorCode + ' ' + result.errorMessage);
  r.free();
}

(async () => {
  const dir = '/home/ubuntu/nanocode/web-opencv/cpp/images/';
  await test(dir + '4b85f78723d00b4fb4ef06cc4ca6f1e8.jpg');
})();