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import { useState, useCallback, useEffect, useRef } from 'react';
import type { ImageFile, OutputType, CompressionOptions } from '../types';
import { decode, encode, getFileType } from '../utils/imageProcessing';
export function useImageQueue(
options: CompressionOptions,
outputType: OutputType,
setImages: React.Dispatch<React.SetStateAction<ImageFile[]>>
) {
const MAX_PARALLEL_PROCESSING = 3;
const [queue, setQueue] = useState<string[]>([]);
const processingCount = useRef(0);
const processingImages = useRef(new Set<string>());
const processImage = useCallback(async (image: ImageFile) => {
if (processingImages.current.has(image.id)) {
return; // Skip if already processing this image
}
processingImages.current.add(image.id);
processingCount.current++;
try {
setImages((prev) =>
prev.map((img) =>
img.id === image.id
? { ...img, status: 'processing' as const }
: img
)
);
const fileBuffer = await image.file.arrayBuffer();
const sourceType = getFileType(image.file);
if (!fileBuffer.byteLength) {
throw new Error('Empty file');
}
// Decode the image
const imageData = await decode(sourceType, fileBuffer);
if (!imageData || !imageData.width || !imageData.height) {
throw new Error('Invalid image data');
}
// Encode to the target format
const compressedBuffer = await encode(outputType, imageData, options);
if (!compressedBuffer.byteLength) {
throw new Error('Failed to compress image');
}
const blob = new Blob([compressedBuffer], { type: `image/${outputType}` });
const preview = URL.createObjectURL(blob);
setImages((prev) =>
prev.map((img) =>
img.id === image.id
? {
...img,
status: 'complete' as const,
preview,
blob,
compressedSize: compressedBuffer.byteLength,
outputType,
}
: img
)
);
} catch (error) {
console.error('Error processing image:', error);
setImages((prev) =>
prev.map((img) =>
img.id === image.id
? {
...img,
status: 'error' as const,
error: error instanceof Error
? error.message
: 'Failed to process image',
}
: img
)
);
} finally {
processingImages.current.delete(image.id);
processingCount.current--;
// Try to process next images if any
setTimeout(processNextInQueue, 0);
}
}, [options, outputType, setImages]);
const processNextInQueue = useCallback(() => {
console.log('Processing next in queue:', {
queueLength: queue.length,
processingCount: processingCount.current,
processingImages: [...processingImages.current]
});
if (queue.length === 0) return;
// Get all images we can process in this batch
setImages(prev => {
const imagesToProcess = prev.filter(img =>
queue.includes(img.id) &&
!processingImages.current.has(img.id) &&
processingCount.current < MAX_PARALLEL_PROCESSING
);
console.log('Found images to process:', imagesToProcess.length);
if (imagesToProcess.length === 0) return prev;
// Start processing these images
imagesToProcess.forEach((image, index) => {
setTimeout(() => {
processImage(image);
}, index * 100);
});
// Remove these from queue
setQueue(current => current.filter(id =>
!imagesToProcess.some(img => img.id === id)
));
// Update status to queued
return prev.map(img =>
imagesToProcess.some(processImg => processImg.id === img.id)
? { ...img, status: 'queued' as const }
: img
);
});
}, [queue, processImage, setImages]);
// Start processing when queue changes
useEffect(() => {
console.log('Queue changed:', queue.length);
if (queue.length > 0) {
processNextInQueue();
}
}, [queue, processNextInQueue]);
const addToQueue = useCallback((imageId: string) => {
console.log('Adding to queue:', imageId);
setQueue(prev => [...prev, imageId]);
}, []);
return { addToQueue };
} |