import { useCallback } from "react"; import { useReplicache, useEntity } from "src/replicache"; import { useEntitySetContext } from "components/EntitySetProvider"; import { v7 } from "uuid"; import { supabaseBrowserClient } from "supabase/browserClient"; import { localImages } from "src/utils/addImage"; import { rgbaToThumbHash, thumbHashToDataURL } from "thumbhash"; // Helper function to load image dimensions and thumbhash const processImage = async ( file: File, ): Promise<{ width: number; height: number; thumbhash: string; }> => { // Load image to get dimensions const img = new Image(); const url = URL.createObjectURL(file); const dimensions = await new Promise<{ width: number; height: number }>( (resolve, reject) => { img.onload = () => { resolve({ width: img.width, height: img.height }); }; img.onerror = reject; img.src = url; }, ); // Generate thumbhash const arrayBuffer = await file.arrayBuffer(); const blob = new Blob([arrayBuffer], { type: file.type }); const imageBitmap = await createImageBitmap(blob); const canvas = document.createElement("canvas"); const context = canvas.getContext("2d") as CanvasRenderingContext2D; const maxDimension = 100; let width = imageBitmap.width; let height = imageBitmap.height; if (width > height) { if (width > maxDimension) { height *= maxDimension / width; width = maxDimension; } } else { if (height > maxDimension) { width *= maxDimension / height; height = maxDimension; } } canvas.width = width; canvas.height = height; context.drawImage(imageBitmap, 0, 0, width, height); const imageData = context.getImageData(0, 0, width, height); const thumbhash = thumbHashToDataURL( rgbaToThumbHash(imageData.width, imageData.height, imageData.data), ); URL.revokeObjectURL(url); return { width: dimensions.width, height: dimensions.height, thumbhash, }; }; export const useHandleCanvasDrop = (entityID: string) => { let { rep } = useReplicache(); let entity_set = useEntitySetContext(); let blocks = useEntity(entityID, "canvas/block"); return useCallback( async (e: React.DragEvent) => { e.preventDefault(); e.stopPropagation(); if (!rep) return; const files = e.dataTransfer.files; if (!files || files.length === 0) return; // Filter for image files only const imageFiles = Array.from(files).filter((file) => file.type.startsWith("image/"), ); if (imageFiles.length === 0) return; const parentRect = e.currentTarget.getBoundingClientRect(); const dropX = Math.max(e.clientX - parentRect.left, 0); const dropY = Math.max(e.clientY - parentRect.top, 0); const SPACING = 0; const DEFAULT_WIDTH = 360; // Process all images to get dimensions and thumbhashes const processedImages = await Promise.all( imageFiles.map((file) => processImage(file)), ); // Calculate grid dimensions based on image count const COLUMNS = Math.ceil(Math.sqrt(imageFiles.length)); // Calculate the width and height for each column and row const colWidths: number[] = []; const rowHeights: number[] = []; for (let i = 0; i < imageFiles.length; i++) { const col = i % COLUMNS; const row = Math.floor(i / COLUMNS); const dims = processedImages[i]; // Scale image to fit within DEFAULT_WIDTH while maintaining aspect ratio const scale = DEFAULT_WIDTH / dims.width; const scaledWidth = DEFAULT_WIDTH; const scaledHeight = dims.height * scale; // Track max width for each column and max height for each row colWidths[col] = Math.max(colWidths[col] || 0, scaledWidth); rowHeights[row] = Math.max(rowHeights[row] || 0, scaledHeight); } const client = supabaseBrowserClient(); const cache = await caches.open("minilink-user-assets"); // Calculate positions and prepare data for all images const imageBlocks = imageFiles.map((file, index) => { const entity = v7(); const fileID = v7(); const row = Math.floor(index / COLUMNS); const col = index % COLUMNS; // Calculate x position by summing all previous column widths let x = dropX; for (let c = 0; c < col; c++) { x += colWidths[c] + SPACING; } // Calculate y position by summing all previous row heights let y = dropY; for (let r = 0; r < row; r++) { y += rowHeights[r] + SPACING; } const url = client.storage .from("minilink-user-assets") .getPublicUrl(fileID).data.publicUrl; return { file, entity, fileID, url, position: { x, y }, dimensions: processedImages[index], }; }); // Create all blocks with image facts for (const block of imageBlocks) { // Add to cache for immediate display await cache.put( new URL(block.url + "?local"), new Response(block.file, { headers: { "Content-Type": block.file.type, "Content-Length": block.file.size.toString(), }, }), ); localImages.set(block.url, true); // Create canvas block await rep.mutate.addCanvasBlock({ newEntityID: block.entity, parent: entityID, position: block.position, factID: v7(), type: "image", permission_set: entity_set.set, }); // Add image fact with local version for immediate display if (navigator.serviceWorker) { await rep.mutate.assertFact({ entity: block.entity, attribute: "block/image", data: { fallback: block.dimensions.thumbhash, type: "image", local: rep.clientID, src: block.url, height: block.dimensions.height, width: block.dimensions.width, }, }); } } // Upload all files to storage in parallel await Promise.all( imageBlocks.map(async (block) => { await client.storage .from("minilink-user-assets") .upload(block.fileID, block.file, { cacheControl: "public, max-age=31560000, immutable", }); // Update fact with final version await rep.mutate.assertFact({ entity: block.entity, attribute: "block/image", data: { fallback: block.dimensions.thumbhash, type: "image", src: block.url, height: block.dimensions.height, width: block.dimensions.width, }, }); }), ); return true; }, [rep, entityID, entity_set.set, blocks], ); };