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