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/** |
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* King Addons - Image Optimizer Core |
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* |
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* Browser-based image conversion using Canvas API (WebP only). |
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* |
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* @package King_Addons |
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*/ |
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|
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(function($) { |
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'use strict'; |
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|
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// Check if kingImageOptimizer is defined |
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if (typeof kingImageOptimizer === 'undefined') { |
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console.error('King Image Optimizer: Configuration not found'); |
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return; |
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} |
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|
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/** |
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* King Image Optimizer Class |
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*/ |
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class KingImageOptimizer { |
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constructor(config) { |
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this.config = config; |
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this.settings = config.settings || {}; |
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this.strings = config.strings || {}; |
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} |
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|
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/** |
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* Initialize the optimizer |
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*/ |
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init() { |
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// no-op (canvas-only) |
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} |
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|
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/** |
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* Optimize an image |
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* |
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* @param {Object} imageData - Image data object |
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* @param {Object} options - Optimization options |
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* @returns {Promise<Object>} - Optimized image result |
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*/ |
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async optimize(imageData, options = {}) { |
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const defaults = { |
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quality: this.settings.quality || 82, |
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resize: this.settings.resize_enabled || false, |
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maxWidth: this.settings.max_width || 2048 |
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}; |
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|
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const opts = { ...defaults, ...options }; |
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|
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// Canvas-only WebP conversion |
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return this.optimizeWithCanvas(imageData, opts); |
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} |
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|
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/** |
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* Optimize using Canvas API (FREE) |
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*/ |
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async optimizeWithCanvas(imageData, options) { |
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return new Promise((resolve, reject) => { |
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const img = new Image(); |
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img.crossOrigin = 'anonymous'; |
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|
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img.onload = () => { |
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try { |
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let { width, height } = img; |
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|
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// Resize if needed |
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if (options.resize && width > options.maxWidth) { |
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const ratio = options.maxWidth / width; |
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width = options.maxWidth; |
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height = Math.round(height * ratio); |
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} |
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|
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// Create canvas |
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const canvas = document.createElement('canvas'); |
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canvas.width = width; |
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canvas.height = height; |
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|
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const ctx = canvas.getContext('2d'); |
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ctx.drawImage(img, 0, 0, width, height); |
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|
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// WebP output only |
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const mimeType = 'image/webp'; |
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const extension = 'webp'; |
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|
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// Convert quality to 0-1 range |
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const quality = options.quality / 100; |
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|
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// Export to data URL |
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const dataUrl = canvas.toDataURL(mimeType, quality); |
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|
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// Calculate sizes |
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const base64Data = dataUrl.split(',')[1]; |
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const optimizedSize = Math.round(base64Data.length * 0.75); // Approximate binary size |
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const originalSize = imageData.filesize || 0; |
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const savedBytes = Math.max(0, originalSize - optimizedSize); |
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|
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resolve({ |
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success: true, |
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data: dataUrl, |
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originalSize: originalSize, |
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optimizedSize: optimizedSize, |
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savedBytes: savedBytes, |
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savingsPercent: originalSize > 0 ? Math.round((savedBytes / originalSize) * 100) : 0, |
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format: extension, |
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width: width, |
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height: height, |
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method: 'canvas' |
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}); |
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|
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} catch (error) { |
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reject({ |
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success: false, |
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error: error.message |
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}); |
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} |
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}; |
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|
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img.onerror = () => { |
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reject({ |
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success: false, |
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error: 'Failed to load image' |
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}); |
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}; |
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|
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// Load image from URL |
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if (imageData.url) { |
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img.src = imageData.url; |
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} else if (imageData.data) { |
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img.src = imageData.data; |
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} else { |
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reject({ |
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success: false, |
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error: 'No image source provided' |
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}); |
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} |
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}); |
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} |
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|
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/** |
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* Format bytes to human readable |
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*/ |
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static formatBytes(bytes, decimals = 2) { |
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if (bytes === 0) return '0 B'; |
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|
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const k = 1024; |
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const dm = decimals < 0 ? 0 : decimals; |
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const sizes = ['B', 'KB', 'MB', 'GB', 'TB']; |
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const i = Math.floor(Math.log(bytes) / Math.log(k)); |
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|
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return parseFloat((bytes / Math.pow(k, i)).toFixed(dm)) + ' ' + sizes[i]; |
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} |
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} |
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|
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// Initialize and export |
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window.KingImageOptimizer = KingImageOptimizer; |
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window.kingOptimizer = new KingImageOptimizer(kingImageOptimizer); |
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window.kingOptimizer.init(); |
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|
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})(jQuery); |
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|
