ruvector/docs/status/MACOS_PACKAGES_SETUP.md
rUv 6c00b84e1d
feat(micro-hnsw-wasm): Add Neuromorphic HNSW v2.3 with SNN Integration (#40)
* docs: Add comprehensive GNN v2 implementation plans

Add 22 detailed planning documents for 19 advanced GNN features:

Tier 1 (Immediate - 3-6 months):
- GNN-Guided HNSW Routing (+25% QPS)
- Incremental Graph Learning/ATLAS (10-100x faster updates)
- Neuro-Symbolic Query Execution (hybrid neural + logical)

Tier 2 (Medium-Term - 6-12 months):
- Hyperbolic Embeddings (Poincaré ball model)
- Degree-Aware Adaptive Precision (2-4x memory reduction)
- Continuous-Time Dynamic GNN (concept drift detection)

Tier 3 (Research - 12+ months):
- Graph Condensation (10-100x smaller graphs)
- Native Sparse Attention (8-15x GPU speedup)
- Quantum-Inspired Attention (long-range dependencies)

Novel Innovations (10 experimental features):
- Gravitational Embedding Fields, Causal Attention Networks
- Topology-Aware Gradient Routing, Embedding Crystallization
- Semantic Holography, Entangled Subspace Attention
- Predictive Prefetch Attention, Morphological Attention
- Adversarial Robustness Layer, Consensus Attention

Includes comprehensive regression prevention strategy with:
- Feature flag system for safe rollout
- Performance baseline (186 tests + 6 search_v2 tests)
- Automated rollback mechanisms

Related to #38

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat(micro-hnsw-wasm): Add neuromorphic HNSW v2.3 with SNN integration

## New Crate: micro-hnsw-wasm v2.3.0
- Published to crates.io: https://crates.io/crates/micro-hnsw-wasm
- 11.8KB WASM binary with 58 exported functions
- Neuromorphic vector search combining HNSW + Spiking Neural Networks

### Core Features
- HNSW graph-based approximate nearest neighbor search
- Multi-distance metrics: L2, Cosine, Dot product
- GNN extensions: typed nodes, edge weights, neighbor aggregation
- Multi-core sharding: 256 cores × 32 vectors = 8K total

### Spiking Neural Network (SNN)
- LIF (Leaky Integrate-and-Fire) neurons with membrane dynamics
- STDP (Spike-Timing Dependent Plasticity) learning
- Spike propagation through graph topology
- HNSW→SNN bridge for similarity-driven neural activation

### Novel Neuromorphic Features (v2.3)
- Spike-Timing Vector Encoding (rate-to-time conversion)
- Homeostatic Plasticity (self-stabilizing thresholds)
- Oscillatory Resonance (40Hz gamma synchronization)
- Winner-Take-All Circuits (competitive selection)
- Dendritic Computation (nonlinear branch integration)
- Temporal Pattern Recognition (spike history matching)
- Combined Neuromorphic Search pipeline

### Performance Optimizations
- 5.5x faster SNN tick (2,726ns → 499ns)
- 18% faster STDP learning
- Pre-computed reciprocal constants
- Division elimination in hot paths

### Documentation & Organization
- Reorganized docs into subdirectories (gnn/, implementation/, publishing/, status/)
- Added comprehensive README with badges, SEO, citations
- Added benchmark.js and test_wasm.js test suites
- Added DEEP_REVIEW.md with performance analysis
- Added Verilog RTL for ASIC synthesis

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: Claude <noreply@anthropic.com>
2025-12-01 22:30:15 -05:00

281 lines
7.2 KiB
Markdown

# macOS Package Setup Complete
**Date:** 2025-11-21
**Status:** ✅ Package structure ready, awaiting binary builds
## 📦 macOS Packages Configured
### @ruvector/core-darwin-x64 (Intel Macs)
**Location:** `/workspaces/ruvector/npm/core/platforms/darwin-x64`
**Contents:**
- ✅ index.js (327B) - Module loader
- ✅ package.json (603B) - Package configuration
- ✅ README.md (876B) - Documentation
- ⏳ ruvector.node - **Needs to be built via GitHub Actions**
### @ruvector/core-darwin-arm64 (Apple Silicon)
**Location:** `/workspaces/ruvector/npm/core/platforms/darwin-arm64`
**Contents:**
- ✅ index.js (329B) - Module loader
- ✅ package.json (627B) - Package configuration
- ✅ README.md (910B) - Documentation
- ⏳ ruvector.node - **Needs to be built via GitHub Actions**
## 🔧 Package Configuration
### darwin-x64 package.json
```json
{
"name": "@ruvector/core-darwin-x64",
"version": "0.1.1",
"main": "index.js",
"os": ["darwin"],
"cpu": ["x64"],
"files": [
"index.js",
"ruvector.node",
"*.node",
"README.md"
]
}
```
### darwin-arm64 package.json
```json
{
"name": "@ruvector/core-darwin-arm64",
"version": "0.1.1",
"main": "index.js",
"os": ["darwin"],
"cpu": ["arm64"],
"files": [
"index.js",
"ruvector.node",
"*.node",
"README.md"
]
}
```
## 🚀 Building macOS Binaries
### Option 1: GitHub Actions (Recommended)
The multi-platform build workflow is already configured in `.github/workflows/build-native.yml`.
**Trigger the workflow:**
```bash
# Commit current changes
git add .
git commit -m "feat: Add macOS package configuration"
# Push to main branch (triggers workflow)
git push origin main
# Or manually trigger via GitHub Actions UI
```
**Workflow will:**
1. Build on macOS-13 (Intel) for darwin-x64
2. Build on macOS-14 (Apple Silicon) for darwin-arm64
3. Upload artifacts to GitHub
4. Binaries will be at: `npm/packages/core/native/{darwin-x64,darwin-arm64}/ruvector.node`
### Option 2: Local Build (Requires macOS)
If you have access to a Mac:
**For Intel Macs (darwin-x64):**
```bash
cd npm/packages/core
npm install
npm run build:napi -- --target x86_64-apple-darwin
# Binary will be in: native/darwin-x64/ruvector.node
```
**For Apple Silicon (darwin-arm64):**
```bash
cd npm/packages/core
npm install
npm run build:napi -- --target aarch64-apple-darwin
# Binary will be in: native/darwin-arm64/ruvector.node
```
## 📋 After Binaries Are Built
### 1. Copy Binaries to Platform Packages
```bash
# For darwin-x64
cp npm/packages/core/native/darwin-x64/ruvector.node \
npm/core/platforms/darwin-x64/
# For darwin-arm64
cp npm/packages/core/native/darwin-arm64/ruvector.node \
npm/core/platforms/darwin-arm64/
```
### 2. Verify Package Contents
```bash
# darwin-x64
cd npm/core/platforms/darwin-x64
npm pack --dry-run
# darwin-arm64
cd npm/core/platforms/darwin-arm64
npm pack --dry-run
```
Expected output (similar to linux-x64-gnu):
```
npm notice 📦 @ruvector/core-darwin-x64@0.1.1
npm notice === Tarball Contents ===
npm notice 876B README.md
npm notice 327B index.js
npm notice 603B package.json
npm notice 4.5MB ruvector.node
npm notice === Tarball Details ===
npm notice package size: 1.9 MB
npm notice unpacked size: 4.5 MB
npm notice total files: 4
```
### 3. Test Package (On macOS)
```bash
# Copy test script
cp npm/core/test-package.cjs npm/core/platforms/darwin-x64/test.cjs
# OR
cp npm/core/test-package.cjs npm/core/platforms/darwin-arm64/test.cjs
# Update platformDir in test script to current directory
sed -i 's|platforms/linux-x64-gnu|.|' test.cjs
# Run tests
node test.cjs
```
### 4. Publish to npm
```bash
# darwin-x64
cd npm/core/platforms/darwin-x64
npm publish --access public
# darwin-arm64
cd npm/core/platforms/darwin-arm64
npm publish --access public
```
## 🎯 Current Status
### Package Structure: ✅ Complete
- [x] index.js loaders created
- [x] package.json configured correctly
- [x] README.md documentation added
- [x] Files array includes ruvector.node
- [x] Platform constraints set (os, cpu)
### Binary Building: ⏳ Pending
- [ ] darwin-x64 binary needs to be built
- [ ] darwin-arm64 binary needs to be built
- [ ] Binaries need to be copied to platform directories
- [ ] Package contents need to be verified with npm pack
### Testing: ⏳ Pending Binary Build
- [ ] darwin-x64 package needs testing on Intel Mac
- [ ] darwin-arm64 package needs testing on Apple Silicon
- [ ] All 4 test suites need to pass
### Publishing: ⏳ Pending Testing
- [ ] darwin-x64 publish to npm
- [ ] darwin-arm64 publish to npm
## 🔗 Related Packages
### Already Published
-@ruvector/core-linux-x64-gnu - Ready for publishing
### Also Need Binaries
-@ruvector/core-linux-arm64-gnu - Awaiting build
-@ruvector/core-win32-x64-msvc - Awaiting build
## 📝 GitHub Actions Workflow Details
**Workflow File:** `.github/workflows/build-native.yml`
**macOS Build Configuration:**
```yaml
- host: macos-13
target: x86_64-apple-darwin
build: npm run build:napi -- --target x86_64-apple-darwin
platform: darwin-x64
- host: macos-14
target: aarch64-apple-darwin
build: npm run build:napi -- --target aarch64-apple-darwin
platform: darwin-arm64
```
**Workflow Triggers:**
- Push to main branch
- Pull requests to main
- Manual trigger via `workflow_dispatch`
- Git tags matching `v*`
**Artifacts:**
- Name: `bindings-darwin-x64`
- Name: `bindings-darwin-arm64`
- Path: `npm/packages/core/native/{platform}/`
## 🎓 Key Differences: macOS vs Linux
### Similarities
- Same API (VectorDb, async methods)
- Same package structure (index.js loader + binary)
- Same Node.js version requirement (>= 18)
- Similar binary size (~4.3MB)
### Differences
- **Platform constraint:** `os: ["darwin"]` (not "linux")
- **CPU variants:** x64 (Intel) vs arm64 (Apple Silicon)
- **Build hosts:** macOS-13 (Intel) vs macOS-14 (ARM)
- **File paths:** May differ in temp directory handling
## ✅ Verification Checklist
Before publishing macOS packages, verify:
- [ ] Binary exists: `ls -lh npm/core/platforms/darwin-x64/ruvector.node`
- [ ] Binary size: Should be ~4.3MB
- [ ] npm pack shows 4 files (index.js, package.json, README.md, ruvector.node)
- [ ] Package size: ~4.5MB unpacked, ~1.9MB compressed
- [ ] Test script passes all 4 tests
- [ ] Module loads without errors
- [ ] Database operations work (insert, search, count, delete)
## 🚨 Important Notes
1. **Cannot build on Linux:** macOS binaries must be built on macOS runners
2. **Two macOS versions needed:** macos-13 for Intel, macos-14 for ARM
3. **Platform detection:** npm will auto-select correct package based on os/cpu
4. **Universal binaries:** Not used - separate packages for Intel and ARM
5. **Testing required:** Each platform must be tested on actual hardware
## 📚 Next Steps
1. **Trigger GitHub Actions** - Push changes to build binaries
2. **Download artifacts** - Get binaries from workflow run
3. **Copy to packages** - Move binaries to platform directories
4. **Verify with npm pack** - Ensure binaries are included
5. **Test on macOS** - Run test suite on both Intel and ARM Macs
6. **Publish to npm** - Make packages available
---
**Package Structure:** ✅ Complete and ready
**Binary Build:** ⏳ Awaiting GitHub Actions workflow
**Testing:** ⏳ Pending binary availability
**Publishing:** ⏳ Pending testing completion