/**
 * test.js — PaperRecognizer 纯 JS 版验证测试
 *
 * 生成符合规范的模拟试纸图像并执行识别，
 * 验证模块能正常加载且所有 API 正确运行。
 *
 * 用法: node test.js
 */

const { PaperRecognizer, PST_NAMES, Img, CONFIGS, PST } = require('./paper-recognizer.js');

function makeTestImage() {
  const W = 800, H = 300;
  const px = new Uint8Array(W * H * 4);
  // Fill background
  for (let y = 0; y < H; y++) {
    const val = 245 - Math.floor(y / H * 10);
    for (let x = 0; x < W; x++) {
      const i = (y * W + x) * 4;
      px[i] = val; px[i+1] = val; px[i+2] = val; px[i+3] = 255;
    }
  }

  function rect(x1, y1, x2, y2, r, g, b) {
    for (let y = y1; y <= y2; y++)
      for (let x = x1; x <= x2; x++) {
        const i = (y * W + x) * 4;
        px[i] = r; px[i+1] = g; px[i+2] = b; px[i+3] = 255;
      }
  }

  // Big locator (left): 50x25 blue (aspect 2:1)
  rect(80, 138, 129, 162, 0, 50, 200);

  // Small locator (right): 25x15 blue (aspect 1.67:1)
  rect(550, 143, 574, 157, 0, 50, 200);

  // Color blocks (warm colors)
  const colors = [
    [200,130,90],[215,160,110],[185,120,80],[225,170,120],
    [195,140,100],[210,150,105],[180,125,95],[220,165,115],
    [190,135,100],[205,145,85],[230,175,125],[195,130,90],
    [215,155,130],[200,145,115]
  ];

  const bigR = 129;  // Big right edge
  const smallL = 550;  // Small left edge
  const dist = smallL - bigR;
  const step = dist / 50;
  const firstOffset = step * 2.25;
  const stepOffset = step * 3.5;

  for (let i = 0; i < 14 && i < colors.length; i++) {
    const x1 = bigR + firstOffset + stepOffset * i;
    if (x1 + 18 >= smallL) break;
    for (let y = 138; y <= 162; y++)
      for (let x = Math.round(x1); x < Math.round(x1) + 18; x++)
        if (x < W && y < H) {
          const idx = (y * W + x) * 4;
          px[idx] = colors[i][0]; px[idx+1] = colors[i][1]; px[idx+2] = colors[i][2];
        }
  }

  return { pixels: px, width: W, height: H };
}

console.log('=== PaperRecognizer 纯 JS 版测试 ===');
console.log('');

// Test 1: Module loads
console.log('✓ Module loaded');
console.log(`  PaperRecognizer: ${typeof PaperRecognizer}`);
console.log(`  Img functions: ${Object.keys(Img).length}`);
console.log(`  PST types: ${Object.keys(PST).length}`);

// Test 2: Basic Img operations
const gray = Img.toGray(new Uint8Array(16).fill(128), 2, 2);
console.log(`\n✓ Img.toGray: ${gray.length} values, mean=${(gray.reduce((a,b)=>a+b,0)/4).toFixed(0)}`);

const { mean, stddev } = Img.meanStdDev(new Float64Array([1,2,3,4,5]), 5);
console.log(`✓ Img.meanStdDev: mean=${mean.toFixed(1)}, stddev=${stddev.toFixed(3)}`);

// Test 3: generate test image and run recognition
const { pixels, width, height } = makeTestImage();
console.log(`\n✓ Test image: ${width}×${height}`);

const recognizer = new PaperRecognizer();
const result = recognizer.recognize(pixels, width, height);

console.log(`\n=== Recognition Result ===`);
console.log(`  Success: ${result.success}`);
console.log(`  Paper Type: ${PST_NAMES[result.paperType] || 'UNKNOWN'}`);
console.log(`  Item Count: ${result.itemCount}`);
console.log(`  Locator Color: ${['Unknown','Red','Green','Blue'][result.locatorColor]}`);
console.log(`  Small on Left: ${result.smallLocatorOnLeft}`);
console.log(`  Blur Level: ${['None','Slight','Severe'][result.blurLevel]} (score=${(result.blurScore||0).toFixed(0)})`);

const jsonStr = recognizer.getResultJson();
console.log(`\n✓ getResultJson(): ${jsonStr.length} chars, valid JSON: ${(()=>{try{JSON.parse(jsonStr);return true}catch(e){return false}})()}`);

const aw = recognizer.getAnnotatedWidth();
const ah = recognizer.getAnnotatedHeight();
const ap = recognizer.getAnnotatedPixels();
console.log(`✓ Annotated: ${aw}×${ah}, pixels=${ap ? ap.length : 0}`);

recognizer.free();
console.log(`\n✓ All tests passed`);

const success = result.success;
process.exit(success ? 0 : 1);