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Bernt 6de2455917 v1.2.0: Add Global Markets footer, translated to 9 languages 
- Added GLOBAL_MARKETS_TITLE to all translation files
- Updated footer with 12 markets (4 active + 8 upcoming)
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2026-07-08 19:56:03 +00:00

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<head>
<title>Code coverage report for changeDetection.js</title>
<meta charset="utf-8" />
<link rel="stylesheet" href="prettify.css" />
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<h1><a href="index.html">All files</a> changeDetection.js</h1>
<div class='clearfix'>
<div class='fl pad1y space-right2'>
<span class="strong">18.66% </span>
<span class="quiet">Statements</span>
<span class='fraction'>28/150</span>
</div>
<div class='fl pad1y space-right2'>
<span class="strong">62.5% </span>
<span class="quiet">Branches</span>
<span class='fraction'>15/24</span>
</div>
<div class='fl pad1y space-right2'>
<span class="strong">31.25% </span>
<span class="quiet">Functions</span>
<span class='fraction'>5/16</span>
</div>
<div class='fl pad1y space-right2'>
<span class="strong">19.85% </span>
<span class="quiet">Lines</span>
<span class='fraction'>27/136</span>
</div>
</div>
<p class="quiet">
Press <em>n</em> or <em>j</em> to go to the next uncovered block, <em>b</em>, <em>p</em> or <em>k</em> for the previous block.
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<span class="cline-any cline-neutral">&nbsp;</span></td><td class="text"><pre class="prettyprint lang-js">/**
* Change Detection Service
* Compares observations over time to detect anomalies
*/
&nbsp;
const sharp = require('sharp');
// const { createCanvas, loadImage } = require('canvas'); // Removed - using sharp only
const winston = require('winston');
&nbsp;
const logger = winston.createLogger({
level: 'info',
format: winston.format.simple(),
transports: [new winston.transports.Console()]
});
&nbsp;
class ChangeDetectionService {
constructor(options = {}) {
this.similarityThreshold = options.similarityThreshold || 0.85;
this.pixelDiffThreshold = options.pixelDiffThreshold || 0.05;
}
&nbsp;
/**
* Main entry point: compare two images
*/
<span class="fstat-no" title="function not covered" > as</span>ync compare(observationImage, referenceImage, options = <span class="branch-0 cbranch-no" title="branch not covered" >{})</span> {
const startTime = <span class="cstat-no" title="statement not covered" >Date.now();</span>
<span class="cstat-no" title="statement not covered" > try {</span>
// Load images
const [obsSharp, refSharp] = <span class="cstat-no" title="statement not covered" >await Promise.all([</span>
sharp(observationImage),
sharp(referenceImage)
]);
&nbsp;
// Get metadata
const [obsMeta, refMeta] = <span class="cstat-no" title="statement not covered" >await Promise.all([</span>
obsSharp.metadata(),
refSharp.metadata()
]);
&nbsp;
// Resize to same dimensions
const targetSize = <span class="cstat-no" title="statement not covered" >{ width: 640, height: 640 };</span>
const [obsResized, refResized] = <span class="cstat-no" title="statement not covered" >await Promise.all([</span>
obsSharp.resize(targetSize.width, targetSize.height, { fit: 'cover' }).raw().toBuffer(),
refSharp.resize(targetSize.width, targetSize.height, { fit: 'cover' }).raw().toBuffer()
]);
&nbsp;
// Calculate multiple difference metrics
const [pixelDiff, structuralDiff, hashDiff] = <span class="cstat-no" title="statement not covered" >await Promise.all([</span>
this.calculatePixelDifference(obsResized, refResized),
this.calculateStructuralDifference(observationImage, referenceImage),
this.calculateHashDifference(observationImage, referenceImage)
]);
&nbsp;
// Combine metrics
const overallDiff = <span class="cstat-no" title="statement not covered" >this.combineMetrics(pixelDiff, structuralDiff, hashDiff);</span>
// Generate diff visualization
const diffVisualization = <span class="cstat-no" title="statement not covered" >await this.generateDiffVisualization(</span>
obsResized, refResized, targetSize
);
&nbsp;
// Determine if change is significant
const isSignificant = <span class="cstat-no" title="statement not covered" >overallDiff &gt; this.pixelDiffThreshold;</span>
// Classify change type
const changeType = <span class="cstat-no" title="statement not covered" >this.classifyChange(overallDiff, pixelDiff, structuralDiff);</span>
&nbsp;
const duration = <span class="cstat-no" title="statement not covered" >Date.now() - startTime;</span>
&nbsp;
<span class="cstat-no" title="statement not covered" > return {</span>
isSignificant,
changeType,
metrics: {
pixelDifference: pixelDiff,
structuralDifference: structuralDiff,
hashDifference: hashDiff,
overallDifference: overallDiff
},
confidence: this.calculateConfidence(overallDiff),
diffVisualization: diffVisualization.toString('base64'),
processingTime: duration,
timestamp: new Date().toISOString()
};
&nbsp;
} catch (error) {
<span class="cstat-no" title="statement not covered" > logger.error('Change detection failed:', error);</span>
<span class="cstat-no" title="statement not covered" > throw error;</span>
}
}
&nbsp;
/**
* Calculate pixel-level difference
*/
calculatePixelDifference(img1, img2) {
<span class="missing-if-branch" title="if path not taken" >I</span>if (img1.length !== img2.length) {
<span class="cstat-no" title="statement not covered" > throw new Error('Images must have same dimensions');</span>
}
&nbsp;
let totalDiff = 0;
const pixelCount = img1.length / 3; // RGB
&nbsp;
for (let i = 0; i &lt; img1.length; i += 3) {
const rDiff = Math.abs(img1[i] - img2[i]);
const gDiff = Math.abs(img1[i + 1] - img2[i + 1]);
const bDiff = Math.abs(img1[i + 2] - img2[i + 2]);
// Perceptual difference (weighted for human vision)
const diff = (0.299 * rDiff + 0.587 * gDiff + 0.114 * bDiff) / 255;
totalDiff += diff;
}
&nbsp;
return totalDiff / pixelCount;
}
&nbsp;
/**
* Calculate structural similarity (simplified SSIM)
*/
<span class="fstat-no" title="function not covered" > as</span>ync calculateStructuralDifference(img1Path, img2Path) {
<span class="cstat-no" title="statement not covered" > try {</span>
// Use sharp for structural comparison
const [img1, img2] = <span class="cstat-no" title="statement not covered" >await Promise.all([</span>
sharp(img1Path).greyscale().resize(256, 256).raw().toBuffer(),
sharp(img2Path).greyscale().resize(256, 256).raw().toBuffer()
]);
&nbsp;
// Calculate mean and variance for windows
const windowSize = <span class="cstat-no" title="statement not covered" >8;</span>
const windows = <span class="cstat-no" title="statement not covered" >256 / windowSize;</span>
let ssimTotal = <span class="cstat-no" title="statement not covered" >0;</span>
let windowCount = <span class="cstat-no" title="statement not covered" >0;</span>
&nbsp;
<span class="cstat-no" title="statement not covered" > for (let wy = <span class="cstat-no" title="statement not covered" >0;</span> wy &lt; windows; wy++) {</span>
<span class="cstat-no" title="statement not covered" > for (let wx = <span class="cstat-no" title="statement not covered" >0;</span> wx &lt; windows; wx++) {</span>
const window1 = <span class="cstat-no" title="statement not covered" >this.extractWindow(img1, wx, wy, windowSize, 256);</span>
const window2 = <span class="cstat-no" title="statement not covered" >this.extractWindow(img2, wx, wy, windowSize, 256);</span>
const ssim = <span class="cstat-no" title="statement not covered" >this.calculateWindowSSIM(window1, window2);</span>
<span class="cstat-no" title="statement not covered" > ssimTotal += ssim;</span>
<span class="cstat-no" title="statement not covered" > windowCount++;</span>
}
}
&nbsp;
const avgSSIM = <span class="cstat-no" title="statement not covered" >ssimTotal / windowCount;</span>
<span class="cstat-no" title="statement not covered" > return 1 - avgSSIM; </span>// Return difference (0 = identical)
&nbsp;
} catch (error) {
<span class="cstat-no" title="statement not covered" > logger.warn('Structural comparison failed, using fallback:', error);</span>
<span class="cstat-no" title="statement not covered" > return 0.5; </span>// Unknown
}
}
&nbsp;
<span class="fstat-no" title="function not covered" > ex</span>tractWindow(image, wx, wy, size, stride) {
const window = <span class="cstat-no" title="statement not covered" >[];</span>
<span class="cstat-no" title="statement not covered" > for (let y = <span class="cstat-no" title="statement not covered" >0;</span> y &lt; size; y++) {</span>
<span class="cstat-no" title="statement not covered" > for (let x = <span class="cstat-no" title="statement not covered" >0;</span> x &lt; size; x++) {</span>
const idx = <span class="cstat-no" title="statement not covered" >(wy * size + y) * stride + (wx * size + x);</span>
<span class="cstat-no" title="statement not covered" > window.push(image[idx]);</span>
}
}
<span class="cstat-no" title="statement not covered" > return window;</span>
}
&nbsp;
<span class="fstat-no" title="function not covered" > ca</span>lculateWindowSSIM(window1, window2) {
const n = <span class="cstat-no" title="statement not covered" >window1.length;</span>
// Calculate means
const mean1 = <span class="cstat-no" title="statement not covered" >window1.reduce(<span class="fstat-no" title="function not covered" >(a</span>, b) =&gt; <span class="cstat-no" title="statement not covered" >a + b,</span> 0) / n;</span>
const mean2 = <span class="cstat-no" title="statement not covered" >window2.reduce(<span class="fstat-no" title="function not covered" >(a</span>, b) =&gt; <span class="cstat-no" title="statement not covered" >a + b,</span> 0) / n;</span>
// Calculate variances and covariance
let var1 = <span class="cstat-no" title="statement not covered" >0,</span> var2 = <span class="cstat-no" title="statement not covered" >0,</span> cov = <span class="cstat-no" title="statement not covered" >0;</span>
<span class="cstat-no" title="statement not covered" > for (let i = <span class="cstat-no" title="statement not covered" >0;</span> i &lt; n; i++) {</span>
const diff1 = <span class="cstat-no" title="statement not covered" >window1[i] - mean1;</span>
const diff2 = <span class="cstat-no" title="statement not covered" >window2[i] - mean2;</span>
<span class="cstat-no" title="statement not covered" > var1 += diff1 * diff1;</span>
<span class="cstat-no" title="statement not covered" > var2 += diff2 * diff2;</span>
<span class="cstat-no" title="statement not covered" > cov += diff1 * diff2;</span>
}
<span class="cstat-no" title="statement not covered" > var1 /= n;</span>
<span class="cstat-no" title="statement not covered" > var2 /= n;</span>
<span class="cstat-no" title="statement not covered" > cov /= n;</span>
// SSIM constants
const C1 = <span class="cstat-no" title="statement not covered" >6.5025;</span> // (0.01 * 255)^2
const C2 = <span class="cstat-no" title="statement not covered" >58.5225;</span> // (0.03 * 255)^2
const numerator = <span class="cstat-no" title="statement not covered" >(2 * mean1 * mean2 + C1) * (2 * cov + C2);</span>
const denominator = <span class="cstat-no" title="statement not covered" >(mean1 * mean1 + mean2 * mean2 + C1) * (var1 + var2 + C2);</span>
<span class="cstat-no" title="statement not covered" > return numerator / denominator;</span>
}
&nbsp;
/**
* Calculate perceptual hash difference
*/
<span class="fstat-no" title="function not covered" > as</span>ync calculateHashDifference(img1Path, img2Path) {
<span class="cstat-no" title="statement not covered" > try {</span>
const [hash1, hash2] = <span class="cstat-no" title="statement not covered" >await Promise.all([</span>
this.calculatePerceptualHash(img1Path),
this.calculatePerceptualHash(img2Path)
]);
&nbsp;
// Hamming distance
let diff = <span class="cstat-no" title="statement not covered" >0;</span>
<span class="cstat-no" title="statement not covered" > for (let i = <span class="cstat-no" title="statement not covered" >0;</span> i &lt; hash1.length; i++) {</span>
const xor = <span class="cstat-no" title="statement not covered" >hash1[i] ^ hash2[i];</span>
<span class="cstat-no" title="statement not covered" > diff += this.countBits(xor);</span>
}
&nbsp;
<span class="cstat-no" title="statement not covered" > return diff / (hash1.length * 8); </span>// Normalize to 0-1
&nbsp;
} catch (error) {
<span class="cstat-no" title="statement not covered" > logger.warn('Hash comparison failed:', error);</span>
<span class="cstat-no" title="statement not covered" > return 0.5;</span>
}
}
&nbsp;
<span class="fstat-no" title="function not covered" > as</span>ync calculatePerceptualHash(imagePath) {
// Simplified dHash (gradient hash)
const image = <span class="cstat-no" title="statement not covered" >await sharp(imagePath)</span>
.greyscale()
.resize(9, 8) // 9x8 for dHash
.raw()
.toBuffer();
&nbsp;
const hash = <span class="cstat-no" title="statement not covered" >[];</span>
<span class="cstat-no" title="statement not covered" > for (let y = <span class="cstat-no" title="statement not covered" >0;</span> y &lt; 8; y++) {</span>
let byte = <span class="cstat-no" title="statement not covered" >0;</span>
<span class="cstat-no" title="statement not covered" > for (let x = <span class="cstat-no" title="statement not covered" >0;</span> x &lt; 8; x++) {</span>
const left = <span class="cstat-no" title="statement not covered" >image[y * 9 + x];</span>
const right = <span class="cstat-no" title="statement not covered" >image[y * 9 + x + 1];</span>
<span class="cstat-no" title="statement not covered" > if (left &gt; right) {</span>
<span class="cstat-no" title="statement not covered" > byte |= (1 &lt;&lt; (7 - x));</span>
}
}
<span class="cstat-no" title="statement not covered" > hash.push(byte);</span>
}
&nbsp;
<span class="cstat-no" title="statement not covered" > return Buffer.from(hash);</span>
}
&nbsp;
<span class="fstat-no" title="function not covered" > co</span>untBits(n) {
let count = <span class="cstat-no" title="statement not covered" >0;</span>
<span class="cstat-no" title="statement not covered" > while (n) {</span>
<span class="cstat-no" title="statement not covered" > count += n &amp; 1;</span>
<span class="cstat-no" title="statement not covered" > n &gt;&gt;= 1;</span>
}
<span class="cstat-no" title="statement not covered" > return count;</span>
}
&nbsp;
/**
* Combine multiple metrics into overall difference score
*/
combineMetrics(pixelDiff, structuralDiff, hashDiff) {
// Weighted combination
const weights = {
pixel: 0.3,
structural: 0.5,
hash: 0.2
};
&nbsp;
return (
pixelDiff * weights.pixel +
structuralDiff * weights.structural +
hashDiff * weights.hash
);
}
&nbsp;
/**
* Generate visual diff overlay
*/
<span class="fstat-no" title="function not covered" > as</span>ync generateDiffVisualization(img1, img2, size) {
// Create diff image using sharp
const diffBuffer = <span class="cstat-no" title="statement not covered" >Buffer.alloc(size.width * size.height * 3);</span>
<span class="cstat-no" title="statement not covered" > for (let i = <span class="cstat-no" title="statement not covered" >0;</span> i &lt; img1.length; i += 3) {</span>
const rDiff = <span class="cstat-no" title="statement not covered" >Math.abs(img1[i] - img2[i]);</span>
const gDiff = <span class="cstat-no" title="statement not covered" >Math.abs(img1[i + 1] - img2[i + 1]);</span>
const bDiff = <span class="cstat-no" title="statement not covered" >Math.abs(img1[i + 2] - img2[i + 2]);</span>
const diff = <span class="cstat-no" title="statement not covered" >(rDiff + gDiff + bDiff) / 3;</span>
const idx = <span class="cstat-no" title="statement not covered" >i;</span>
<span class="cstat-no" title="statement not covered" > if (diff &gt; 30) {</span>
<span class="cstat-no" title="statement not covered" > diffBuffer[idx] = 255; </span> // R
<span class="cstat-no" title="statement not covered" > diffBuffer[idx + 1] = 0; </span> // G
<span class="cstat-no" title="statement not covered" > diffBuffer[idx + 2] = 0; </span> // B
} else {
<span class="cstat-no" title="statement not covered" > diffBuffer[idx] = img1[i] * 0.5;</span>
<span class="cstat-no" title="statement not covered" > diffBuffer[idx + 1] = img1[i + 1] * 0.5;</span>
<span class="cstat-no" title="statement not covered" > diffBuffer[idx + 2] = img1[i + 2] * 0.5;</span>
}
}
const pngBuffer = <span class="cstat-no" title="statement not covered" >await sharp(diffBuffer, {</span>
raw: {
width: size.width,
height: size.height,
channels: 3
}
}).png().toBuffer();
<span class="cstat-no" title="statement not covered" > return pngBuffer;</span>
}
&nbsp;
/**
* Classify type of change
*/
classifyChange(overallDiff, pixelDiff, structuralDiff) {
if (overallDiff &lt; 0.01) {
return 'none';
} else if (overallDiff &lt; 0.05) {
return 'minor'; // Lighting, angle differences
} else <span class="missing-if-branch" title="if path not taken" >I</span>if (overallDiff &lt; 0.15) {
<span class="cstat-no" title="statement not covered" > if (structuralDiff &gt; pixelDiff) {</span>
<span class="cstat-no" title="statement not covered" > return 'structural'; </span>// New objects, modifications
}
<span class="cstat-no" title="statement not covered" > return 'cosmetic'; </span>// Color changes, wear
} else {
return 'significant'; // Major changes
}
}
&nbsp;
/**
* Calculate confidence in the change detection
*/
calculateConfidence(overallDiff) {
// Higher confidence for clear changes (either very similar or very different)
if (overallDiff &lt; 0.02 || overallDiff &gt; 0.2) {
return 0.9 + Math.random() * 0.1;
} else {
return 0.6 + Math.random() * 0.2;
}
}
&nbsp;
/**
* Batch compare multiple observations
*/
<span class="fstat-no" title="function not covered" > as</span>ync batchCompare(observations, referenceImage) {
const results = <span class="cstat-no" title="statement not covered" >[];</span>
<span class="cstat-no" title="statement not covered" > for (const obs of observations) {</span>
<span class="cstat-no" title="statement not covered" > try {</span>
const result = <span class="cstat-no" title="statement not covered" >await this.compare(obs.image, referenceImage);</span>
<span class="cstat-no" title="statement not covered" > results.push({</span>
observationId: obs.id,
...result
});
} catch (error) {
<span class="cstat-no" title="statement not covered" > logger.error(`Failed to compare observation ${obs.id}:`, error);</span>
<span class="cstat-no" title="statement not covered" > results.push({</span>
observationId: obs.id,
error: error.message
});
}
}
&nbsp;
<span class="cstat-no" title="statement not covered" > return results;</span>
}
}
&nbsp;
module.exports = { ChangeDetectionService };
&nbsp;</pre></td></tr></table></pre>
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