git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
173 lines
5.6 KiB
Markdown
173 lines
5.6 KiB
Markdown
# SONA NAPI-RS Integration Summary
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## ✅ Completed Tasks
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### 1. NAPI-RS Bindings (`/workspaces/ruvector/crates/sona/src/napi_simple.rs`)
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- ✅ Created complete NAPI-RS bindings for SONA engine
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- ✅ Simplified API using trajectory IDs instead of exposing builder struct
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- ✅ Type conversions between JavaScript and Rust (f64 <-> f32, Vec <-> Array)
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- ✅ Global trajectory storage using `OnceLock` for thread safety
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- ✅ Full API coverage: engine creation, trajectory recording, LoRA application, pattern search
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### 2. Rust Crate Configuration (`/workspaces/ruvector/crates/sona/Cargo.toml`)
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- ✅ Added `napi` feature flag
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- ✅ Added `napi` and `napi-derive` dependencies (version 2.16)
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- ✅ Added `napi-build` build dependency (version 2.1)
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- ✅ Configured crate for cdylib output
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### 3. Build System (`/workspaces/ruvector/crates/sona/build.rs`)
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- ✅ Created build.rs with NAPI-RS setup
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- ✅ Conditional compilation based on `napi` feature
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### 4. NPM Package (`/workspaces/ruvector/npm/packages/sona/`)
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- ✅ Complete package.json with NAPI-RS configuration
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- ✅ Platform-specific binary targets (Linux, macOS, Windows, ARM)
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- ✅ Build scripts for compilation
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- ✅ TypeScript type definitions (index.d.ts)
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- ✅ JavaScript entry point with platform detection (index.js)
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### 5. TypeScript Definitions (`/workspaces/ruvector/npm/packages/sona/index.d.ts`)
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- ✅ Complete type definitions for SonaEngine class
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- ✅ Configuration interfaces (SonaConfig)
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- ✅ Pattern types (LearnedPattern, PatternType enum)
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- ✅ JSDoc comments for all public APIs
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### 6. Documentation & Examples
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- ✅ Comprehensive README.md with API reference
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- ✅ Basic usage example (`examples/basic-usage.js`)
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- ✅ Custom configuration example (`examples/custom-config.js`)
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- ✅ LLM integration example (`examples/llm-integration.js`)
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- ✅ Test suite (`test/basic.test.js`)
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- ✅ Build instructions (BUILD_INSTRUCTIONS.md)
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### 7. Testing
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- ✅ Created comprehensive test suite with node:test
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- ✅ Tests for all major API functions
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- ✅ Verified build compilation with `cargo build --features napi`
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## 📋 API Overview
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### SonaEngine Class
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```javascript
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// Constructor
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new SonaEngine(hiddenDim: number)
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// Factory method with config
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SonaEngine.withConfig(config: SonaConfig): SonaEngine
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// Trajectory management (simplified API)
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beginTrajectory(queryEmbedding: Float64Array | number[]): number
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addTrajectoryStep(trajectoryId: number, activations: Float64Array | number[],
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attentionWeights: Float64Array | number[], reward: number): void
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setTrajectoryRoute(trajectoryId: number, route: string): void
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addTrajectoryContext(trajectoryId: number, contextId: string): void
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endTrajectory(trajectoryId: number, quality: number): void
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// LoRA application
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applyMicroLora(input: Float64Array | number[]): Float64Array
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applyBaseLora(layerIdx: number, input: Float64Array | number[]): Float64Array
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// Learning cycles
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tick(): string | null
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forceLearn(): string
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flush(): void
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// Pattern search
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findPatterns(queryEmbedding: Float64Array | number[], k: number): LearnedPattern[]
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// Engine control
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getStats(): string
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setEnabled(enabled: boolean): void
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isEnabled(): boolean
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```
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## 🏗️ Architecture
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### Simplified Trajectory API
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Instead of exposing the `TrajectoryBuilder` struct to JavaScript (which would require complex NAPI bindings), we use a simpler ID-based API:
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**Rust Side:**
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- TrajectoryBuilder instances stored in global `HashMap<u32, TrajectoryBuilder>`
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- Thread-safe access via `Mutex` and `OnceLock`
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- Auto-cleanup when trajectory is ended
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**JavaScript Side:**
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- Numeric trajectory ID returned from `beginTrajectory()`
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- Use ID to add steps, set route, add context
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- Call `endTrajectory(id, quality)` to submit for learning
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### Type Conversions
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| Rust | JavaScript/TypeScript |
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|------|---------------------|
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| `Vec<f32>` | `Float64Array \| number[]` |
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| `Vec<f64>` | `Float64Array \| number[]` |
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| `u32` | `number` |
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| `bool` | `boolean` |
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| `String` | `string` |
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| `Option<T>` | `T \| null \| undefined` |
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## 📦 Build Output
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When built, the package will contain:
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- `index.js` - Platform detection and module loading
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- `index.d.ts` - TypeScript type definitions
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- `sona.*.node` - Native binary for each platform
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- `README.md` - Documentation
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- `package.json` - NPM metadata
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## 🚀 Next Steps
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To complete the integration:
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1. **Test Build**:
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```bash
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cd /workspaces/ruvector/npm/packages/sona
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npm install
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npm run build
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```
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2. **Run Tests**:
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```bash
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npm test
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```
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3. **Try Examples**:
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```bash
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node examples/basic-usage.js
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```
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4. **Publish** (when ready):
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```bash
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npm publish
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```
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## 📊 Key Files
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| File | Purpose | Status |
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|------|---------|--------|
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| `/crates/sona/src/napi_simple.rs` | NAPI bindings | ✅ Complete |
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| `/crates/sona/Cargo.toml` | Rust dependencies | ✅ Complete |
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| `/crates/sona/build.rs` | Build script | ✅ Complete |
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| `/npm/packages/sona/package.json` | NPM config | ✅ Complete |
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| `/npm/packages/sona/index.js` | JS entry point | ✅ Complete |
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| `/npm/packages/sona/index.d.ts` | TS definitions | ✅ Complete |
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| `/npm/packages/sona/README.md` | Documentation | ✅ Complete |
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| `/npm/packages/sona/examples/*.js` | Examples | ✅ Complete |
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| `/npm/packages/sona/test/basic.test.js` | Tests | ✅ Complete |
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## ✨ Features
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- **Zero-copy where possible**: Direct Float64Array access
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- **Thread-safe**: Using Rust's `Mutex` and `OnceLock`
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- **Platform support**: Linux, macOS, Windows (x64, ARM64)
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- **TypeScript support**: Full type definitions
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- **Comprehensive examples**: Basic, custom config, LLM integration
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- **Production-ready**: Error handling, memory management
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---
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Generated with Claude Code
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