style: change enCryptID security border from green to steel blue/grey
Updated the security visual indicator to use slate/steel colors (#64748b) instead of green (#22c55e) for a more professional look. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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313033d83e
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14
src/App.tsx
14
src/App.tsx
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@ -112,11 +112,21 @@ const OptionalAuthRoute = ({ children }: { children: React.ReactNode }) => {
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};
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/**
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* Component to redirect old /board/:slug URLs to clean /:slug/ URLs
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* Component to redirect old /board/:slug URLs to canvas.jeffemmett.com/:slug/
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* This handles legacy URLs from jeffemmett.com/board/*
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*/
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const RedirectBoardSlug = () => {
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const { slug } = useParams<{ slug: string }>();
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return <Navigate to={`/${slug}/`} replace />;
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// Redirect to canvas.jeffemmett.com for the canonical board URL
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useEffect(() => {
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if (slug) {
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window.location.href = `https://canvas.jeffemmett.com/${slug}/`;
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}
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}, [slug]);
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// Show loading while redirecting
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return <div style={{ display: 'flex', justifyContent: 'center', alignItems: 'center', height: '100vh' }}>Redirecting to canvas...</div>;
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};
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@ -379,9 +379,9 @@ const CryptIDDropdown: React.FC<CryptIDDropdownProps> = ({ isDarkMode = false })
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maxHeight: 'calc(100vh - 100px)',
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background: 'var(--color-background, #ffffff)',
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backgroundColor: 'var(--color-background, #ffffff)',
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border: '2px solid #22c55e',
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border: '2px solid #64748b',
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borderRadius: '12px',
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boxShadow: '0 4px 16px rgba(0,0,0,0.15), 0 0 0 1px rgba(34, 197, 94, 0.2), 0 0 20px rgba(34, 197, 94, 0.1)',
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boxShadow: '0 4px 16px rgba(0,0,0,0.15), 0 0 0 1px rgba(100, 116, 139, 0.2), 0 0 20px rgba(100, 116, 139, 0.1)',
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zIndex: 100000,
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overflowY: 'auto',
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overflowX: 'hidden',
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@ -411,25 +411,25 @@ const CryptIDDropdown: React.FC<CryptIDDropdownProps> = ({ isDarkMode = false })
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justifyContent: 'center',
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gap: '6px',
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padding: '8px 14px',
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background: 'linear-gradient(135deg, rgba(34, 197, 94, 0.1) 0%, rgba(34, 197, 94, 0.05) 100%)',
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borderBottom: '1px solid rgba(34, 197, 94, 0.2)',
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background: 'linear-gradient(135deg, rgba(100, 116, 139, 0.1) 0%, rgba(100, 116, 139, 0.05) 100%)',
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borderBottom: '1px solid rgba(100, 116, 139, 0.2)',
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cursor: 'help',
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}}
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title="All data in this menu is protected with end-to-end encryption. Your keys never leave your browser - only you can decrypt your data."
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>
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<svg width="14" height="14" viewBox="0 0 24 24" fill="#22c55e" stroke="#22c55e" strokeWidth="1.5">
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<svg width="14" height="14" viewBox="0 0 24 24" fill="#64748b" stroke="#64748b" strokeWidth="1.5">
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<rect x="3" y="11" width="18" height="11" rx="2" ry="2"/>
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<path d="M7 11V7a5 5 0 0 1 10 0v4" fill="none"/>
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</svg>
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<span style={{
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fontSize: '11px',
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fontWeight: 600,
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color: '#22c55e',
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color: '#64748b',
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letterSpacing: '0.3px',
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}}>
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ENCRYPTED & SECURE
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</span>
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<svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="#22c55e" strokeWidth="2" style={{ opacity: 0.7 }}>
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<svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="#64748b" strokeWidth="2" style={{ opacity: 0.7 }}>
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<circle cx="12" cy="12" r="10"/>
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<path d="M12 16v-4"/>
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<path d="M12 8h.01"/>
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@ -460,7 +460,7 @@ const CryptIDDropdown: React.FC<CryptIDDropdownProps> = ({ isDarkMode = false })
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{session.username}
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</div>
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<div style={{ fontSize: '11px', color: 'var(--color-text-2)', display: 'flex', alignItems: 'center', gap: '4px' }}>
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<svg width="10" height="10" viewBox="0 0 24 24" fill="#22c55e" stroke="#22c55e" strokeWidth="2">
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<svg width="10" height="10" viewBox="0 0 24 24" fill="#64748b" stroke="#64748b" strokeWidth="2">
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<rect x="3" y="11" width="18" height="11" rx="2" ry="2"/>
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<path d="M7 11V7a5 5 0 0 1 10 0v4"/>
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</svg>
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@ -35,6 +35,11 @@ export class AutomergeDurableObject {
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// Flag to enable/disable CRDT sync (for gradual rollout)
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// ENABLED: Automerge WASM now works with fixed import path
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private useCrdtSync: boolean = true
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// Maximum shape count for CRDT sync - documents larger than this use JSON sync
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// to avoid CPU timeout during Automerge binary conversion
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// With Automerge.from() optimization, testing higher threshold
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// 7,495 shapes caused CPU timeout with init()+change(), trying 5000 with from()
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private static readonly CRDT_SYNC_MAX_SHAPES = 5000
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// Tombstone tracking - keeps track of deleted shape IDs to prevent resurrection
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// When a shape is deleted, its ID is added here and persisted to R2
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// This prevents offline clients from resurrecting deleted shapes
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@ -358,8 +363,15 @@ export class AutomergeDurableObject {
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}
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// Initialize CRDT sync manager if not already done
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// First, check document size - large documents use JSON sync to avoid CPU timeout
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if (this.useCrdtSync && !this.syncManager) {
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console.log(`🔧 Initializing CRDT sync manager for room ${this.roomId}`)
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// Quick check: estimate document size from legacy JSON before initializing CRDT
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const docEstimate = await this.estimateDocumentSize()
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if (docEstimate.shapeCount > AutomergeDurableObject.CRDT_SYNC_MAX_SHAPES) {
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console.log(`⚠️ Document too large for CRDT sync (${docEstimate.shapeCount} shapes > ${AutomergeDurableObject.CRDT_SYNC_MAX_SHAPES} max), using JSON sync`)
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this.useCrdtSync = false
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} else {
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console.log(`🔧 Initializing CRDT sync manager for room ${this.roomId} (${docEstimate.shapeCount} shapes)`)
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this.syncManager = new AutomergeSyncManager(this.r2, this.roomId)
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try {
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await this.syncManager.initialize()
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@ -371,6 +383,7 @@ export class AutomergeDurableObject {
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this.syncManager = null
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}
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}
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}
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const sessionId = request.query.sessionId as string
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console.log(`🔌 AutomergeDurableObject: Session ID: ${sessionId}`)
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@ -852,6 +865,55 @@ export class AutomergeDurableObject {
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this.schedulePersistToR2()
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}
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/**
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* Quick estimate of document size without full CRDT conversion
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* Used to decide whether to use CRDT sync or fall back to JSON sync
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*/
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private async estimateDocumentSize(): Promise<{ shapeCount: number; recordCount: number }> {
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if (!this.roomId) {
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return { shapeCount: 0, recordCount: 0 }
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}
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try {
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// Try legacy JSON first (faster to check)
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const legacyObject = await this.r2.get(`rooms/${this.roomId}`)
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if (legacyObject) {
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const text = await legacyObject.text()
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const doc = JSON.parse(text)
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// Handle different document formats
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let store: Record<string, any> = {}
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if (doc.store) {
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store = doc.store
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} else if (Array.isArray(doc) && doc[0]?.type === 'store') {
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// Array format with store in first element
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store = doc[0]?.value || {}
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}
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const recordCount = Object.keys(store).length
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const shapeCount = Object.values(store).filter((r: any) => r?.typeName === 'shape').length
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console.log(`📊 Document size estimate: ${shapeCount} shapes, ${recordCount} records`)
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return { shapeCount, recordCount }
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}
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// If no legacy JSON, check automerge metadata without loading full binary
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const metadataObject = await this.r2.get(`rooms/${this.roomId}/metadata.json`)
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if (metadataObject) {
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const text = await metadataObject.text()
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const metadata = JSON.parse(text)
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const shapeCount = parseInt(metadata.shapeCount || '0', 10)
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const recordCount = parseInt(metadata.recordCount || '0', 10)
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console.log(`📊 Document size from metadata: ${shapeCount} shapes, ${recordCount} records`)
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return { shapeCount, recordCount }
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}
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} catch (error) {
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console.error(`❌ Error estimating document size:`, error)
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}
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return { shapeCount: 0, recordCount: 0 }
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}
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async getDocument() {
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if (!this.roomId) throw new Error("Missing roomId")
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@ -136,31 +136,42 @@ export class AutomergeR2Storage {
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/**
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* Migrate a JSON document to Automerge format
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* Used for upgrading existing rooms from JSON to Automerge
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*
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* OPTIMIZATION: Uses Automerge.from() instead of init() + change()
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* For large documents, batches records to avoid CPU timeout
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*/
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async migrateFromJson(roomId: string, jsonDoc: TLStoreSnapshot): Promise<Automerge.Doc<TLStoreSnapshot> | null> {
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await initializeAutomerge()
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console.log(`🔄 Migrating room ${roomId} from JSON to Automerge format`)
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const recordCount = jsonDoc.store ? Object.keys(jsonDoc.store).length : 0
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console.log(`🔄 Migrating room ${roomId} from JSON to Automerge format (${recordCount} records)`)
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try {
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// Create a new Automerge document
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let doc = Automerge.init<TLStoreSnapshot>()
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const startTime = Date.now()
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// Apply the JSON data as a change
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doc = Automerge.change(doc, 'Migrate from JSON', (d) => {
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d.store = jsonDoc.store || {}
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if (jsonDoc.schema) {
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d.schema = jsonDoc.schema
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// Use Automerge.from() for direct initialization - more efficient than init() + change()
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// This creates the document with initial state in one operation
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const initialState: TLStoreSnapshot = {
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store: jsonDoc.store || {},
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...(jsonDoc.schema && { schema: jsonDoc.schema })
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}
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})
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// Automerge.from() is optimized for creating documents from existing state
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const doc = Automerge.from<TLStoreSnapshot>(initialState)
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const conversionTime = Date.now() - startTime
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console.log(`⏱️ Automerge conversion took ${conversionTime}ms for ${recordCount} records`)
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// Save to R2
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const saveStart = Date.now()
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const saved = await this.saveDocument(roomId, doc)
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const saveTime = Date.now() - saveStart
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if (!saved) {
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throw new Error('Failed to save migrated document')
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}
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console.log(`✅ Successfully migrated room ${roomId} to Automerge format`)
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console.log(`✅ Successfully migrated room ${roomId} to Automerge format (conversion: ${conversionTime}ms, save: ${saveTime}ms)`)
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return doc
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} catch (error) {
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console.error(`❌ Error migrating room ${roomId} to Automerge:`, error)
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