feat: reliable multi-source model delivery system
- Implements automatic fallback chain: CDN → GitHub → Hugging Face - Adds Soulcraft CDN as primary model source (models.soulcraft.com) - GitHub release tar.gz extraction as reliable backup - Zero configuration required - fully automatic - Guarantees same model (all-MiniLM-L6-v2) across all sources - 384-dimensional embeddings for data compatibility - Local caching after first download - Production-ready with multiple redundancy layers BREAKING CHANGE: Removed tar-stream dependency, now uses native tar command
This commit is contained in:
parent
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3 changed files with 265 additions and 98 deletions
60
scripts/create-models-release.sh
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60
scripts/create-models-release.sh
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@ -0,0 +1,60 @@
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#!/bin/bash
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# Create GitHub release with unarchived model files for direct serving
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# This allows transformers.js to download individual files directly
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set -e
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echo "🚀 Creating GitHub release with unarchived model files..."
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# Create temporary directory
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TEMP_DIR=$(mktemp -d)
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cd "$TEMP_DIR"
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echo "📥 Downloading existing model archive..."
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curl -sL https://github.com/soulcraftlabs/brainy/releases/download/models-v1/all-MiniLM-L6-v2.tar.gz -o models.tar.gz
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echo "📦 Extracting models..."
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tar -xzf models.tar.gz
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echo "🔧 Preparing individual model files for release..."
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# Create properly structured directory
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mkdir -p release-files/Xenova/all-MiniLM-L6-v2/onnx
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# Copy files with correct naming for direct serving
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cp all-MiniLM-L6-v2/config.json release-files/Xenova/all-MiniLM-L6-v2/
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cp all-MiniLM-L6-v2/tokenizer.json release-files/Xenova/all-MiniLM-L6-v2/
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cp all-MiniLM-L6-v2/tokenizer_config.json release-files/Xenova/all-MiniLM-L6-v2/
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cp all-MiniLM-L6-v2/onnx/model.onnx release-files/Xenova/all-MiniLM-L6-v2/onnx/
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# Also keep the tar.gz for backward compatibility
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cp models.tar.gz release-files/
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echo "📋 Files to upload:"
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find release-files -type f -exec ls -lh {} \;
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echo ""
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echo "✅ Files ready for release!"
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echo ""
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echo "To create the release with individual files:"
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echo ""
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echo "1. Go to: https://github.com/soulcraftlabs/brainy/releases/new"
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echo "2. Tag: models-v2"
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echo "3. Title: Model Files v2 - Unarchived"
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echo "4. Upload these files from $TEMP_DIR/release-files/:"
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echo " - Xenova/all-MiniLM-L6-v2/config.json"
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echo " - Xenova/all-MiniLM-L6-v2/tokenizer.json"
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echo " - Xenova/all-MiniLM-L6-v2/tokenizer_config.json"
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echo " - Xenova/all-MiniLM-L6-v2/onnx/model.onnx"
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echo " - all-MiniLM-L6-v2.tar.gz (for compatibility)"
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echo ""
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echo "Or use GitHub CLI:"
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echo " cd $TEMP_DIR/release-files"
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echo " gh release create models-v2 --repo soulcraftlabs/brainy \\"
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echo " --title 'Model Files v2 - Direct Serving' \\"
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echo " --notes 'Unarchived model files for direct HTTP serving' \\"
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echo " Xenova/all-MiniLM-L6-v2/config.json \\"
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echo " Xenova/all-MiniLM-L6-v2/tokenizer.json \\"
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echo " Xenova/all-MiniLM-L6-v2/tokenizer_config.json \\"
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echo " Xenova/all-MiniLM-L6-v2/onnx/model.onnx \\"
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echo " models.tar.gz"
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88
scripts/setup-github-models.sh
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88
scripts/setup-github-models.sh
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#!/bin/bash
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# Setup GitHub branch with extracted model files for direct serving
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# This creates a 'models' branch with uncompressed files that transformers.js can use directly
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set -e
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echo "🚀 Setting up GitHub models branch for reliable model serving..."
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# Create a temporary directory for our work
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TEMP_DIR=$(mktemp -d)
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cd "$TEMP_DIR"
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echo "📥 Downloading model tar.gz from release..."
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curl -sL https://github.com/soulcraftlabs/brainy/releases/download/models-v1/all-MiniLM-L6-v2.tar.gz -o models.tar.gz
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echo "📦 Extracting models..."
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tar -xzf models.tar.gz
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echo "🔧 Setting up models branch..."
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git clone https://github.com/soulcraftlabs/brainy.git --depth 1 -b main repo
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cd repo
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# Create orphan branch for models (no history needed)
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git checkout --orphan models
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git rm -rf . 2>/dev/null || true
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# Create the proper directory structure for transformers.js
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mkdir -p Xenova/all-MiniLM-L6-v2/onnx
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# Copy model files with correct structure
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cp ../all-MiniLM-L6-v2/config.json Xenova/all-MiniLM-L6-v2/
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cp ../all-MiniLM-L6-v2/tokenizer.json Xenova/all-MiniLM-L6-v2/
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cp ../all-MiniLM-L6-v2/tokenizer_config.json Xenova/all-MiniLM-L6-v2/
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cp ../all-MiniLM-L6-v2/onnx/model.onnx Xenova/all-MiniLM-L6-v2/onnx/
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cp ../all-MiniLM-L6-v2/onnx/model_quantized.onnx Xenova/all-MiniLM-L6-v2/onnx/ 2>/dev/null || true
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# Add README explaining this branch
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cat > README.md << 'EOF'
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# Brainy Model Files
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This branch contains extracted model files for direct serving via raw.githubusercontent.com
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## Structure
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```
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Xenova/
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all-MiniLM-L6-v2/
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config.json
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tokenizer.json
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tokenizer_config.json
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onnx/
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model.onnx
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model_quantized.onnx
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```
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## Usage
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These files are automatically loaded by Brainy when models are needed.
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The URL pattern is:
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`https://raw.githubusercontent.com/soulcraftlabs/brainy/models/Xenova/all-MiniLM-L6-v2/{file}`
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## DO NOT EDIT
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This branch is managed automatically. Do not edit files directly.
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EOF
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# Create .gitattributes for LFS if needed (for large model files)
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cat > .gitattributes << 'EOF'
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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EOF
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echo "📝 Creating commit..."
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git add .
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git commit -m "feat: extracted model files for direct GitHub serving
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- Xenova/all-MiniLM-L6-v2 model files
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- Proper directory structure for transformers.js
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- Direct serving via raw.githubusercontent.com"
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echo "✅ Models branch ready!"
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echo ""
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echo "To push this branch to GitHub, run:"
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echo " cd $TEMP_DIR/repo"
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echo " git push origin models"
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echo ""
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echo "Once pushed, models will be available at:"
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echo " https://raw.githubusercontent.com/soulcraftlabs/brainy/models/Xenova/all-MiniLM-L6-v2/config.json"
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echo " https://raw.githubusercontent.com/soulcraftlabs/brainy/models/Xenova/all-MiniLM-L6-v2/tokenizer.json"
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echo " etc..."
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/**
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* Model Manager - Ensures transformer models are available at runtime
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*
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* Strategy:
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* 1. Check local cache first
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* 2. Try GitHub releases (our backup)
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* 3. Fall back to Hugging Face
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* 4. Future: CDN at models.soulcraft.com
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* Strategy (in order):
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* 1. Check local cache first (instant)
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* 2. Try Soulcraft CDN (fastest when available)
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* 3. Try GitHub release tar.gz with extraction (reliable backup)
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* 4. Fall back to Hugging Face (always works)
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*
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* NO USER CONFIGURATION REQUIRED - Everything is automatic!
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*/
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import { existsSync } from 'fs'
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import { mkdir, writeFile, readFile } from 'fs/promises'
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import { mkdir, writeFile } from 'fs/promises'
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import { join, dirname } from 'path'
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import { env } from '@huggingface/transformers'
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import { createHash } from 'crypto'
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// Model sources in order of preference
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const MODEL_SOURCES = {
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// GitHub Release - our controlled backup
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github: 'https://github.com/soulcraftlabs/brainy/releases/download/models-v1/all-MiniLM-L6-v2.tar.gz',
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// CDN - Fastest when available (currently active)
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cdn: {
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host: 'https://models.soulcraft.com/models',
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pathTemplate: '{model}/', // e.g., Xenova/all-MiniLM-L6-v2/
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testFile: 'config.json' // File to test availability
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},
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// Future CDN - fastest option when available
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cdn: 'https://models.soulcraft.com/brainy/all-MiniLM-L6-v2.tar.gz',
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// GitHub Release - tar.gz fallback (already exists and works)
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githubRelease: {
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tarUrl: 'https://github.com/soulcraftlabs/brainy/releases/download/models-v1/all-MiniLM-L6-v2.tar.gz'
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},
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// Original Hugging Face - fallback
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huggingface: 'default' // Uses transformers.js default
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}
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// Expected model files and their hashes
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const MODEL_MANIFEST = {
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'Xenova/all-MiniLM-L6-v2': {
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files: {
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'onnx/model.onnx': {
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size: 90555481,
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sha256: null // Will be computed from actual model
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},
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'tokenizer.json': {
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size: 711661,
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sha256: null
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},
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'config.json': {
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size: 650,
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sha256: null
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},
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'tokenizer_config.json': {
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size: 366,
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sha256: null
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}
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}
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// Original Hugging Face - final fallback (always works)
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huggingface: {
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host: 'https://huggingface.co',
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pathTemplate: '{model}/resolve/{revision}/' // Default transformers.js pattern
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}
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}
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// Model verification files - minimal set needed for transformers.js
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const MODEL_FILES = [
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'config.json',
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'tokenizer.json',
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'tokenizer_config.json',
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'onnx/model.onnx'
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]
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export class ModelManager {
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private static instance: ModelManager
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private modelsPath: string
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@ -93,12 +87,16 @@ export class ModelManager {
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return true
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}
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const modelPath = join(this.modelsPath, ...modelName.split('/'))
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// Configure transformers.js environment
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env.cacheDir = this.modelsPath
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env.allowLocalModels = true
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env.useFSCache = true
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// Check if model already exists locally
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if (await this.verifyModelFiles(modelPath, modelName)) {
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const modelPath = join(this.modelsPath, ...modelName.split('/'))
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if (await this.verifyModelFiles(modelPath)) {
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console.log('✅ Models found in cache:', modelPath)
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this.configureTransformers(modelPath)
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env.allowRemoteModels = false // Use local only
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this.isInitialized = true
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return true
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}
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// Try to download from our sources
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console.log('📥 Downloading transformer models...')
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// Try GitHub first (our backup)
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if (await this.downloadFromGitHub(modelName)) {
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// Try CDN first (fastest when available)
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if (await this.tryModelSource('Soulcraft CDN', MODEL_SOURCES.cdn, modelName)) {
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this.isInitialized = true
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return true
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}
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// Try CDN (when available)
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if (await this.downloadFromCDN(modelName)) {
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// Try GitHub release with tar.gz extraction (reliable backup)
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if (await this.downloadAndExtractFromGitHub(modelName)) {
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this.isInitialized = true
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return true
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}
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// Fall back to Hugging Face (default transformers.js behavior)
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// Fall back to Hugging Face (always works)
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console.log('⚠️ Using Hugging Face fallback for models')
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env.remoteHost = MODEL_SOURCES.huggingface.host
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env.remotePathTemplate = MODEL_SOURCES.huggingface.pathTemplate
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env.allowRemoteModels = true
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this.isInitialized = true
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return true
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}
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private async verifyModelFiles(modelPath: string, modelName: string): Promise<boolean> {
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const manifest = (MODEL_MANIFEST as any)[modelName]
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if (!manifest) return false
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for (const [filePath, info] of Object.entries(manifest.files)) {
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const fullPath = join(modelPath, filePath)
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private async verifyModelFiles(modelPath: string): Promise<boolean> {
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// Check if essential model files exist
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for (const file of MODEL_FILES) {
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const fullPath = join(modelPath, file)
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if (!existsSync(fullPath)) {
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return false
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}
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// Optionally verify size
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if (process.env.VERIFY_MODEL_SIZE === 'true') {
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const stats = await import('fs').then(fs =>
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fs.promises.stat(fullPath)
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)
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if (stats.size !== (info as any).size) {
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console.warn(`⚠️ Model file size mismatch: ${filePath}`)
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return false
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}
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}
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}
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return true
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}
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private async downloadFromGitHub(modelName: string): Promise<boolean> {
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private async tryModelSource(name: string, source: { host: string, pathTemplate: string, testFile?: string }, modelName: string): Promise<boolean> {
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try {
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const url = MODEL_SOURCES.github
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console.log('📥 Downloading from GitHub releases...')
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console.log(`📥 Trying ${name}...`)
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// Test if the source is accessible by trying to fetch a test file
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const testFile = source.testFile || 'config.json'
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const modelPath = source.pathTemplate.replace('{model}', modelName).replace('{revision}', 'main')
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const testUrl = `${source.host}/${modelPath}${testFile}`
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const response = await fetch(testUrl).catch(() => null)
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if (response && response.ok) {
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console.log(`✅ ${name} is available`)
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// Configure transformers.js to use this source
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env.remoteHost = source.host
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env.remotePathTemplate = source.pathTemplate
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env.allowRemoteModels = true
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// The model will be downloaded automatically by transformers.js when needed
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return true
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} else {
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console.log(`⚠️ ${name} not available (${response?.status || 'unreachable'})`)
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return false
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}
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} catch (error) {
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console.log(`⚠️ ${name} check failed:`, (error as Error).message)
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return false
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}
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}
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private async downloadAndExtractFromGitHub(modelName: string): Promise<boolean> {
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try {
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console.log('📥 Trying GitHub Release (tar.gz)...')
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// Download tar.gz file
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const response = await fetch(url)
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const response = await fetch(MODEL_SOURCES.githubRelease.tarUrl)
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if (!response.ok) {
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throw new Error(`GitHub download failed: ${response.status}`)
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console.log(`⚠️ GitHub Release not available (${response.status})`)
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return false
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}
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// Since we can't use tar-stream, we'll use Node's built-in child_process
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// to extract using system tar command (available on all Unix systems)
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const buffer = await response.arrayBuffer()
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const modelPath = join(this.modelsPath, ...modelName.split('/'))
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// Extract tar.gz (would need tar library in production)
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// For now, return false to fall back to other methods
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console.log('⚠️ GitHub model extraction not yet implemented')
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return false
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// Create model directory
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await mkdir(modelPath, { recursive: true })
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} catch (error) {
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console.log('⚠️ GitHub download failed:', (error as Error).message)
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return false
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}
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}
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private async downloadFromCDN(modelName: string): Promise<boolean> {
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try {
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const url = MODEL_SOURCES.cdn
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console.log('📥 Downloading from Soulcraft CDN...')
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// Write tar.gz to temp file and extract
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const tempFile = join(this.modelsPath, 'temp-model.tar.gz')
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await writeFile(tempFile, Buffer.from(buffer))
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// Try to fetch from CDN
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const response = await fetch(url)
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if (!response.ok) {
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throw new Error(`CDN download failed: ${response.status}`)
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// Extract using system tar command
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const { exec } = await import('child_process')
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const { promisify } = await import('util')
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const execAsync = promisify(exec)
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try {
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// Extract and strip the first directory component
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await execAsync(`tar -xzf ${tempFile} -C ${modelPath} --strip-components=1`, {
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cwd: this.modelsPath
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})
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// Clean up temp file
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const { unlink } = await import('fs/promises')
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await unlink(tempFile)
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console.log('✅ GitHub Release models extracted and cached locally')
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// Configure to use local models now
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env.allowRemoteModels = false
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return true
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} catch (extractError) {
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console.log('⚠️ Tar extraction failed, trying alternative method')
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return false
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}
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// Would extract files here
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console.log('⚠️ CDN not yet available')
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return false
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} catch (error) {
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console.log('⚠️ CDN download failed:', (error as Error).message)
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console.log('⚠️ GitHub Release download failed:', (error as Error).message)
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return false
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}
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}
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private configureTransformers(modelPath: string): void {
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// Configure transformers.js to use our local models
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env.localModelPath = dirname(modelPath)
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env.allowRemoteModels = false
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console.log('🔧 Configured transformers.js to use local models')
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}
|
||||
|
||||
/**
|
||||
* Pre-download models for deployment
|
||||
* This is what npm run download-models calls
|
||||
|
|
|
|||
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