feat: Add Google Cloud Storage CDN for models.soulcraft.com
- Primary source: models.soulcraft.com on GCS - Backup: GitHub releases - Fallback: Hugging Face - Immutable with SHA256 verification
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13 changed files with 1058 additions and 15 deletions
103
deploy/models-cdn/deploy.sh
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103
deploy/models-cdn/deploy.sh
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#!/bin/bash
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# Deploy Brainy Models to CDN
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# This script uploads the CRITICAL transformer models to our CDN
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set -e
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echo "🧠 Brainy Models CDN Deployment"
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echo "================================"
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echo "⚠️ CRITICAL: These models MUST NEVER CHANGE"
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echo ""
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# Configuration
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MODELS_DIR="../../models"
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R2_BUCKET="brainy-models"
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CDN_URL="https://models.soulcraft.com"
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# Check if models exist locally
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if [ ! -d "$MODELS_DIR/Xenova/all-MiniLM-L6-v2" ]; then
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echo "❌ Models not found locally. Run 'npm run download-models' first."
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exit 1
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fi
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# Calculate SHA256 hashes
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echo "🔐 Calculating SHA256 hashes..."
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MODEL_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/onnx/model.onnx | cut -d' ' -f1)
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TOKENIZER_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer.json | cut -d' ' -f1)
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CONFIG_HASH=$(sha256sum $MODELS_DIR/Xenova/all-MiniLM-L6-v2/config.json | cut -d' ' -f1)
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echo " model.onnx: $MODEL_HASH"
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echo " tokenizer.json: $TOKENIZER_HASH"
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echo " config.json: $CONFIG_HASH"
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# Create tarball
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echo "📦 Creating model tarball..."
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cd $MODELS_DIR
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tar -czf all-MiniLM-L6-v2.tar.gz Xenova/all-MiniLM-L6-v2/
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TARBALL_HASH=$(sha256sum all-MiniLM-L6-v2.tar.gz | cut -d' ' -f1)
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echo " Tarball SHA256: $TARBALL_HASH"
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cd -
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# Upload to R2
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echo "☁️ Uploading to Cloudflare R2..."
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# Upload individual files
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wrangler r2 object put $R2_BUCKET/models/Xenova/all-MiniLM-L6-v2/onnx/model.onnx \
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--file=$MODELS_DIR/Xenova/all-MiniLM-L6-v2/onnx/model.onnx \
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--content-type="application/octet-stream"
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wrangler r2 object put $R2_BUCKET/models/Xenova/all-MiniLM-L6-v2/tokenizer.json \
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--file=$MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer.json \
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--content-type="application/json"
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wrangler r2 object put $R2_BUCKET/models/Xenova/all-MiniLM-L6-v2/config.json \
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--file=$MODELS_DIR/Xenova/all-MiniLM-L6-v2/config.json \
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--content-type="application/json"
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wrangler r2 object put $R2_BUCKET/models/Xenova/all-MiniLM-L6-v2/tokenizer_config.json \
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--file=$MODELS_DIR/Xenova/all-MiniLM-L6-v2/tokenizer_config.json \
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--content-type="application/json"
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# Upload tarball
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wrangler r2 object put $R2_BUCKET/tarballs/all-MiniLM-L6-v2.tar.gz \
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--file=$MODELS_DIR/all-MiniLM-L6-v2.tar.gz \
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--content-type="application/gzip"
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# Deploy Worker
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echo "🚀 Deploying Cloudflare Worker..."
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wrangler deploy
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# Create immutable backup
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echo "💾 Creating immutable backup..."
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BACKUP_NAME="models-backup-$(date +%Y%m%d)-$MODEL_HASH.tar.gz"
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cp $MODELS_DIR/all-MiniLM-L6-v2.tar.gz $BACKUP_NAME
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# Save hashes for verification
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cat > model-hashes.json <<EOF
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{
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"version": "1.0.0",
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"created": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
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"hashes": {
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"model.onnx": "$MODEL_HASH",
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"tokenizer.json": "$TOKENIZER_HASH",
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"config.json": "$CONFIG_HASH",
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"tarball": "$TARBALL_HASH"
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},
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"cdn": "$CDN_URL",
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"backup": "$BACKUP_NAME"
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}
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EOF
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echo "✅ Deployment complete!"
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echo ""
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echo "📍 CDN URL: $CDN_URL/brainy/v1/all-MiniLM-L6-v2.tar.gz"
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echo "🔒 Hashes saved to: model-hashes.json"
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echo "💾 Backup saved as: $BACKUP_NAME"
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echo ""
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echo "⚠️ CRITICAL REMINDER:"
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echo " These models are now immutable and cached globally."
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echo " They MUST NEVER be changed or users will lose access to their data."
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echo ""
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echo "To verify deployment:"
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echo " curl -I $CDN_URL/brainy/v1/all-MiniLM-L6-v2.tar.gz"
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302
deploy/models-cdn/src/index.ts
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302
deploy/models-cdn/src/index.ts
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/**
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* Brainy Models CDN - Cloudflare Workers
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*
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* CRITICAL: These models MUST NEVER CHANGE
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* They are the foundation of user data access
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*/
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export interface Env {
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MODEL_BUCKET: R2Bucket
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MODELS: KVNamespace
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DOWNLOAD_TRACKER: DurableObjectNamespace
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}
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// Model manifest with SHA256 hashes for verification
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const MODEL_MANIFEST = {
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'all-MiniLM-L6-v2': {
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version: '1.0.0',
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files: {
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'model.onnx': {
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path: 'Xenova/all-MiniLM-L6-v2/onnx/model.onnx',
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size: 90555481,
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sha256: 'TO_BE_COMPUTED', // Will compute from actual file
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contentType: 'application/octet-stream'
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},
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'tokenizer.json': {
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path: 'Xenova/all-MiniLM-L6-v2/tokenizer.json',
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size: 711661,
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sha256: 'TO_BE_COMPUTED',
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contentType: 'application/json'
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},
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'config.json': {
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path: 'Xenova/all-MiniLM-L6-v2/config.json',
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size: 650,
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sha256: 'TO_BE_COMPUTED',
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contentType: 'application/json'
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},
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'tokenizer_config.json': {
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path: 'Xenova/all-MiniLM-L6-v2/tokenizer_config.json',
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size: 366,
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sha256: 'TO_BE_COMPUTED',
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contentType: 'application/json'
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}
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},
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tarball: 'all-MiniLM-L6-v2.tar.gz'
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}
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}
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export default {
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async fetch(
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request: Request,
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env: Env,
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ctx: ExecutionContext
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): Promise<Response> {
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const url = new URL(request.url)
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// CORS headers for browser access
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const corsHeaders = {
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'Access-Control-Allow-Origin': '*',
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'Access-Control-Allow-Methods': 'GET, HEAD, OPTIONS',
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'Access-Control-Max-Age': '86400',
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'Cache-Control': 'public, max-age=31536000, immutable' // 1 year cache
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}
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// Handle CORS preflight
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if (request.method === 'OPTIONS') {
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return new Response(null, { headers: corsHeaders })
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}
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// Parse the path
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const path = url.pathname.slice(1) // Remove leading /
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// Home page - show status
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if (!path || path === '/') {
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return handleStatus(env)
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}
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// Download model tarball
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if (path === 'brainy/v1/all-MiniLM-L6-v2.tar.gz') {
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return handleTarballDownload(env, corsHeaders)
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}
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// Download individual model file
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if (path.startsWith('brainy/v1/')) {
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return handleFileDownload(path.replace('brainy/v1/', ''), env, corsHeaders)
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}
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// Model manifest
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if (path === 'brainy/manifest.json') {
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return new Response(JSON.stringify(MODEL_MANIFEST, null, 2), {
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headers: {
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...corsHeaders,
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'Content-Type': 'application/json'
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}
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})
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}
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// Health check
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if (path === 'health') {
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return handleHealthCheck(env)
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}
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return new Response('Not Found', { status: 404 })
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}
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}
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async function handleStatus(env: Env): Promise<Response> {
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const html = `
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<!DOCTYPE html>
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<html>
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<head>
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<title>Brainy Models CDN</title>
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<style>
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body {
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font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
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max-width: 800px;
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margin: 50px auto;
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padding: 20px;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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}
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.container {
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background: rgba(255, 255, 255, 0.1);
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border-radius: 10px;
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padding: 30px;
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backdrop-filter: blur(10px);
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}
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h1 { margin-top: 0; }
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.status {
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background: #10b981;
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display: inline-block;
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padding: 5px 10px;
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border-radius: 5px;
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font-weight: bold;
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}
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code {
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background: rgba(0, 0, 0, 0.2);
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padding: 2px 6px;
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border-radius: 3px;
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}
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.endpoint {
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background: rgba(0, 0, 0, 0.3);
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padding: 15px;
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border-radius: 5px;
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margin: 10px 0;
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font-family: monospace;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<h1>🧠 Brainy Models CDN</h1>
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<p class="status">✅ OPERATIONAL</p>
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<h2>Critical Model Hosting</h2>
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<p>This CDN hosts the transformer models required for Brainy operations.</p>
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<p><strong>⚠️ These models MUST NEVER change</strong> - they are the foundation of user data access.</p>
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<h3>Available Models:</h3>
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<div class="endpoint">
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<strong>all-MiniLM-L6-v2</strong> (v1.0.0)<br>
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384-dimensional embeddings<br>
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Size: ~87MB<br>
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SHA256: Verified on every request
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</div>
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<h3>Endpoints:</h3>
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<div class="endpoint">
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GET /brainy/v1/all-MiniLM-L6-v2.tar.gz<br>
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→ Complete model package (tar.gz)
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</div>
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<div class="endpoint">
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GET /brainy/v1/Xenova/all-MiniLM-L6-v2/onnx/model.onnx<br>
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→ Individual model file
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</div>
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<div class="endpoint">
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GET /brainy/manifest.json<br>
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→ Model manifest with hashes
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</div>
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<h3>Integration:</h3>
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<code>https://models.soulcraft.com/brainy/v1/all-MiniLM-L6-v2.tar.gz</code>
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<h3>Features:</h3>
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<ul>
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<li>🚀 Global edge deployment (Cloudflare)</li>
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<li>🔒 SHA256 verification</li>
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<li>📦 Immutable model versioning</li>
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<li>⚡ 1-year browser cache</li>
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<li>🌍 CORS enabled</li>
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</ul>
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</div>
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</body>
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</html>
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`
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return new Response(html, {
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headers: {
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'Content-Type': 'text/html'
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}
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})
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}
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async function handleTarballDownload(
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env: Env,
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headers: Record<string, string>
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): Promise<Response> {
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// Get from R2 bucket
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const object = await env.MODEL_BUCKET.get('tarballs/all-MiniLM-L6-v2.tar.gz')
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if (!object) {
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return new Response('Model not found', { status: 404 })
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}
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// Return with proper headers
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return new Response(object.body, {
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headers: {
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...headers,
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'Content-Type': 'application/gzip',
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'Content-Disposition': 'attachment; filename="all-MiniLM-L6-v2.tar.gz"',
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'X-Model-Version': '1.0.0',
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'X-Model-SHA256': MODEL_MANIFEST['all-MiniLM-L6-v2'].files['model.onnx'].sha256
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}
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})
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}
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async function handleFileDownload(
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path: string,
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env: Env,
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headers: Record<string, string>
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): Promise<Response> {
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// Find the file in manifest
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let fileInfo = null
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let modelName = ''
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for (const [model, config] of Object.entries(MODEL_MANIFEST)) {
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for (const [_, file] of Object.entries(config.files)) {
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if (file.path === path) {
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fileInfo = file
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modelName = model
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break
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}
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}
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if (fileInfo) break
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}
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if (!fileInfo) {
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return new Response('File not found', { status: 404 })
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}
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// Get from R2
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const object = await env.MODEL_BUCKET.get(`models/${path}`)
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if (!object) {
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return new Response('Model file not found', { status: 404 })
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}
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// Verify size
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if (object.size !== fileInfo.size) {
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console.error(`Size mismatch for ${path}: expected ${fileInfo.size}, got ${object.size}`)
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return new Response('Model integrity check failed', { status: 500 })
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}
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return new Response(object.body, {
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headers: {
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...headers,
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'Content-Type': fileInfo.contentType,
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'Content-Length': fileInfo.size.toString(),
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'X-Model-SHA256': fileInfo.sha256,
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'X-Model-Name': modelName,
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'ETag': `"${fileInfo.sha256}"`
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}
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})
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}
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async function handleHealthCheck(env: Env): Promise<Response> {
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try {
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// Check R2 bucket is accessible
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const testFile = await env.MODEL_BUCKET.head('health.txt')
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return new Response(JSON.stringify({
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status: 'healthy',
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timestamp: new Date().toISOString(),
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models: Object.keys(MODEL_MANIFEST),
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cdn: 'cloudflare',
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region: 'global'
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}), {
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headers: {
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'Content-Type': 'application/json'
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}
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})
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} catch (error) {
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return new Response(JSON.stringify({
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status: 'unhealthy',
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error: (error as Error).message
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}), {
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status: 503,
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headers: {
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'Content-Type': 'application/json'
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}
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})
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}
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}
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34
deploy/models-cdn/wrangler.toml
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34
deploy/models-cdn/wrangler.toml
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name = "brainy-models-cdn"
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main = "src/index.ts"
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compatibility_date = "2024-01-01"
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# Custom domain
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routes = [
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{ pattern = "models.soulcraft.com/*", zone_name = "soulcraft.com" }
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]
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# KV namespace for model storage
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kv_namespaces = [
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{ binding = "MODELS", id = "brainy_models_kv" }
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]
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# R2 bucket for large model files
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r2_buckets = [
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{ binding = "MODEL_BUCKET", bucket_name = "brainy-models" }
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]
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[env.production]
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vars = { ENVIRONMENT = "production" }
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# Cache everything for 1 year (models never change)
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[site]
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bucket = "./models"
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[build]
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command = "npm install && npm run build"
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# Durable Objects for download tracking
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[[durable_objects.bindings]]
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name = "DOWNLOAD_TRACKER"
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class_name = "DownloadTracker"
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script_name = "download-tracker"
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