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ruvector/docs/status/DEPLOYMENT_STATUS.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

5.8 KiB
Raw Blame History

Deployment Status - NPM Packages

Date: 2025-11-21 Status: 🚀 BUILD IN PROGRESS

✅ Git History Cleaned

Successfully removed .env file from all git history and force pushed to main.

Actions Taken:

  • Ran git filter-branch to remove .env from all commits
  • Cleaned up git references and garbage collection
  • Force pushed cleaned history to origin/main
  • Commit hash updated: 3dd1fa8 → d242a42

Result: ✅ Push successful, no more secret scanning blocks

🚀 GitHub Actions Triggered

Workflow: Build Native Modules (ID: 209177608) Trigger: Push to main branch (commit d242a42) Status: 🔄 Running

Building Platforms:

  1. linux-x64-gnu - Ubuntu 22.04
  2. linux-arm64-gnu - Ubuntu 22.04 (cross-compile)
  3. darwin-x64 - macOS 13 (Intel)
  4. darwin-arm64 - macOS 14 (Apple Silicon)
  5. win32-x64-msvc - Windows 2022

Check Status:

📦 Packages Ready for Publishing

✅ Immediately Available

@ruvector/core-linux-x64-gnu v0.1.1

  • Binary: ✅ Built (4.3MB)
  • Tests: ✅ All 4 passing
  • Location: npm/core/platforms/linux-x64-gnu
  • Action: Can publish now with npm publish --access public

⏳ Awaiting Build Completion

@ruvector/core-darwin-x64 v0.1.1

  • Structure: ✅ Complete
  • Binary: ⏳ Building on macOS-13
  • Action: Wait for workflow, then copy binary and test

@ruvector/core-darwin-arm64 v0.1.1

  • Structure: ✅ Complete
  • Binary: ⏳ Building on macOS-14
  • Action: Wait for workflow, then copy binary and test

@ruvector/core-linux-arm64-gnu v0.1.1

  • Structure: 🟡 Needs configuration
  • Binary: ⏳ Building on Ubuntu 22.04
  • Action: Configure like darwin packages, then test

@ruvector/core-win32-x64-msvc v0.1.1

  • Structure: 🟡 Needs configuration
  • Binary: ⏳ Building on Windows 2022
  • Action: Configure like darwin packages, then test

📋 Deployment Workflow

Phase 1: Build (Current - In Progress)

  • Push changes to main
  • Trigger GitHub Actions
  • [⏳] Wait for 5 platform builds to complete (~10-15 minutes)
  • [⏳] Download binary artifacts

Phase 2: Package Preparation (Next)

  • Copy binaries to platform directories
  • Configure remaining packages (linux-arm64-gnu, win32-x64-msvc)
  • Run npm pack --dry-run for each platform
  • Verify binary inclusion (~4.5MB unpacked)

Phase 3: Testing (Per Platform)

  • Test on actual hardware or CI
  • Run test-package.cjs for each platform
  • Verify all 4 test suites pass
  • Document any platform-specific issues

Phase 4: Publishing (Sequential)

# Publish in order:
cd npm/core/platforms/linux-x64-gnu && npm publish --access public
cd npm/core/platforms/darwin-x64 && npm publish --access public
cd npm/core/platforms/darwin-arm64 && npm publish --access public
cd npm/core/platforms/linux-arm64-gnu && npm publish --access public
cd npm/core/platforms/win32-x64-msvc && npm publish --access public

Phase 5: Main Package (Final)

cd npm/core
npm run build  # Compile TypeScript
npm publish --access public

🎯 Success Criteria

Per-Platform Package

  • Package structure complete
  • Module loader (index.js) created
  • package.json configured correctly
  • README documentation added
  • [⏳] Native binary built (~4.3MB)
  • [⏳] npm pack shows 4.5MB unpacked
  • [⏳] All 4 tests passing
  • [⏳] Published to npm

Overall Project

  • [⏳] All 5 platform packages published
  • [⏳] Main package published
  • [⏳] Cross-platform installation verified
  • [⏳] GitHub releases created
  • [⏳] Documentation complete

⏱️ Timeline Estimate

Current Time: Build triggered at commit push

Estimated Completion:

  • Build completion: ~10-15 minutes (parallel)
  • Package preparation: ~15 minutes
  • Testing: ~30 minutes (if manual on each platform)
  • Publishing: ~10 minutes
  • Total: ~1-1.5 hours from now

📊 Build Progress

Monitor the workflow at: https://github.com/ruvnet/ruvector/actions/runs/[RUN_ID]

Expected Artifacts:

  • bindings-linux-x64 (already have locally)
  • bindings-linux-arm64
  • bindings-darwin-x64
  • bindings-darwin-arm64
  • bindings-win32-x64

Each artifact should contain:

  • ruvector.node (~4.3MB)
  • Built in npm/packages/core/native/{platform}/ directory

🔗 Quick Links

📝 Deployment Checklist

  • Code changes committed
  • Git history cleaned (.env removed)
  • Changes pushed to main
  • GitHub Actions triggered
  • [⏳] Builds completing
  • Artifacts downloaded
  • Binaries copied to packages
  • Packages verified with npm pack
  • Tests passing on all platforms
  • Platform packages published
  • Main package published
  • Installation tested
  • GitHub release created
  • Documentation updated

🎉 Current Status Summary

What's Done:

  • ✅ Git history cleaned (no more secrets)
  • ✅ All changes committed and pushed
  • ✅ GitHub Actions workflow triggered
  • ✅ Linux x64 package ready for immediate publishing
  • ✅ macOS packages configured and ready for binaries
  • ✅ Comprehensive documentation created
  • ✅ Automated test suite working

What's In Progress:

  • 🔄 Building 5 platform binaries via GitHub Actions
  • 🔄 Waiting for workflow completion

What's Next:

  • ⏳ Download artifacts when builds complete
  • ⏳ Configure remaining packages
  • ⏳ Test on each platform
  • ⏳ Publish all packages to npm

Last Updated: 2025-11-21 (Workflow triggered) Next Check: Monitor GitHub Actions for build completion