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clube67_newwhats.local/newwhats.clube67.com/newwhats.local/plugins/SmartVision/backend/Optimizer.ts
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64 lines
2.1 KiB
TypeScript

import sharp from 'sharp';
export interface OptimizationResult {
buffer: Buffer;
mimetype: string;
}
export class ImageOptimizer {
/**
* Optimizes an image: converts to WebP, strips metadata,
* and applies a 1:1 Smart Crop if needed.
*/
static async optimize(
buffer: Buffer,
category: string = 'media',
options: { aspect?: string; size?: number } = {}
): Promise<OptimizationResult> {
try {
let pipeline = sharp(buffer);
const metadata = await pipeline.metadata();
if (!metadata.format) return { buffer, mimetype: 'application/octet-stream' };
// 1. Identify Target Size
// Default sizes based on category
let targetSize = options.size || 1024;
if (category === 'partners' || category === 'users') targetSize = 400;
if (category === 'benefits') targetSize = 800;
// 2. Smart Crop 1:1 if aspect=1:1 is requested or implied by category
const shouldCrop = options.aspect === '1:1' || ['partners', 'users'].includes(category);
if (shouldCrop) {
pipeline = pipeline.resize({
width: targetSize,
height: targetSize,
fit: sharp.fit.cover,
position: sharp.strategy.entropy // Smart focal point detection
});
} else {
// Resize without cropping if it's too large
pipeline = pipeline.resize({
width: targetSize,
withoutEnlargement: true,
fit: sharp.fit.inside
});
}
// 3. Convert to WebP & Strip Metadata
const optimizedBuffer = await pipeline
.webp({ quality: 85, effort: 4 })
.toBuffer();
return {
buffer: optimizedBuffer,
mimetype: 'image/webp'
};
} catch (err) {
console.error('[SmartVision] Optimization failed:', err);
return { buffer, mimetype: 'image/jpeg' }; // Fallback
}
}
}