src/lib/utils/professionalImageProcessing.ts

/**
 * Professional background removal using industry-standard libraries
 * This replaces the custom algorithm with proven solutions
 */

import { removeBackground as removeBackgroundLib } from '@imgly/background-removal';

// Type definitions for the background removal library
interface BackgroundRemovalConfig {
    model?: 'small' | 'medium' | 'large';
    output?: {
        format?: string;
        quality?: number;
    };
    debug?: boolean;
}

/**
 * Remove background using AI-powered background removal
 * This is the preferred method for high-quality results
 */
export async function removeBackgroundAI(imageUrl: string): Promise<string> {
    try {
        // Fetch the image as a blob
        const response = await fetch(imageUrl);
        if (!response.ok) {
            throw new Error(`Failed to fetch image: ${response.statusText}`);
        }
        const imageBlob = await response.blob();
        
        // Remove background using AI (using default configuration for simplicity)
        const resultBlob = await removeBackgroundLib(imageBlob);
        
        // Convert result blob to data URL
        return new Promise((resolve, reject) => {
            const reader = new FileReader();
            reader.onload = () => resolve(reader.result as string);
            reader.onerror = () => reject(new Error('Failed to convert result to data URL'));
            reader.readAsDataURL(resultBlob);
        });
        
    } catch (error) {
        console.error('AI background removal failed:', error);
        throw new Error(`Background removal failed: ${error instanceof Error ? error.message : 'Unknown error'}`);
    }
}

/**
 * Simple fallback method for basic white background removal
 * Use this when the AI method is not available
 */
export async function removeWhiteBackgroundSimple(imageUrl: string): Promise<string> {
    return new Promise((resolve, reject) => {
        const img = new Image();
        img.crossOrigin = 'anonymous';
        
        img.onload = () => {
            const canvas = document.createElement('canvas');
            const ctx = canvas.getContext('2d');
            
            if (!ctx) {
                reject(new Error('Failed to get canvas context'));
                return;
            }
            
            canvas.width = img.width;
            canvas.height = img.height;
            ctx.drawImage(img, 0, 0);
            
            const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
            const data = imageData.data;
            
            // Simple white background removal
            const whiteThreshold = 240;
            for (let i = 0; i < data.length; i += 4) {
                const r = data[i];
                const g = data[i + 1];
                const b = data[i + 2];
                
                // If pixel is close to white, make it transparent
                if (r > whiteThreshold && g > whiteThreshold && b > whiteThreshold) {
                    data[i + 3] = 0; // Set alpha to 0
                }
            }
            
            ctx.putImageData(imageData, 0, 0);
            resolve(canvas.toDataURL('image/png'));
        };
        
        img.onerror = () => {
            reject(new Error('Failed to load image'));
        };
        
        img.src = imageUrl;
    });
}

/**
 * Main function that tries AI method first, then falls back to simple method
 * This provides the best results while maintaining compatibility
 */
export async function removeBackground(imageUrl: string): Promise<string> {
    try {
        // Try AI method first
        return await removeBackgroundAI(imageUrl);
    } catch (aiError) {
        console.warn('AI background removal failed, falling back to simple method:', aiError);
        
        try {
            // Fallback to simple method
            return await removeWhiteBackgroundSimple(imageUrl);
        } catch (fallbackError) {
            console.error('All background removal methods failed:', fallbackError);
            throw new Error('Background removal failed with all methods');
        }
    }
}

/**
 * Check if the AI background removal library is available
 */
export async function isAIBackgroundRemovalAvailable(): Promise<boolean> {
    return true; // Library is now installed as a dependency
}

/**
 * Batch process multiple images with progress callback
 */
export async function removeBackgroundBatch(
    imageUrls: string[], 
    onProgress?: (completed: number, total: number, currentImage: string) => void
): Promise<{ url: string; result?: string; error?: string }[]> {
    const results: { url: string; result?: string; error?: string }[] = [];
    
    for (let i = 0; i < imageUrls.length; i++) {
        const imageUrl = imageUrls[i];
        
        try {
            const result = await removeBackground(imageUrl);
            results.push({ url: imageUrl, result });
        } catch (error) {
            const errorMessage = error instanceof Error ? error.message : 'Unknown error';
            results.push({ url: imageUrl, error: errorMessage });
        }
        
        if (onProgress) {
            onProgress(i + 1, imageUrls.length, imageUrl);
        }
    }
    
    return results;
}