CC-ECHELON IMPLEMENTATION STATUS

CC-ECHELON IMPLEMENTATION STATUS

Last Updated: 2025-12-14

🎯 Current Sprint: cc-protocol Foundation

✅ Completed

1. cc-protocol crate structure
- ✅ Cargo.toml with dependencies
- ✅ README.md with architecture overview
- ✅ lib.rs with module structure
- ✅ sensor.rs - Complete `SensorFrame` and `MultiDeviceFrame` types
- ✅ coherence.rs - `CoherenceMetrics`, `CouplingMode`, dual-time contract

2. Existing cc-brain components
- ✅ `LatentState` - Embodied physics (LIM-RPS output)
- ✅ `SectionStateMachine` - State transitions
- ✅ `LexiconController` - Expressive control signals
- ✅ `EchelonCore` - Main brain controller
- ✅ SimpleLatentUpdater & LearnedLatentUpdater

3. Existing cc-echelon crates
- ✅ motion-bridge - Network communication
- ✅ audio-engine - Audio graph foundation
- ✅ control-bus - Message passing
- ✅ scheduler - Task scheduling

🚧 In Progress

1. cc-protocol core types
- 🚧 latent.rs - LatentState (will re-export from cc-brain)
- 🚧 section_state.rs - SectionState (will re-export from cc-brain)
- 🚧 control_packet.rs - THE MAIN MESSAGE
- 🚧 clock.rs - ExecutionClock with quantization

2. Strudel-IR (Symbolic Music)
- 🚧 strudel_ir/pattern.rs - Pattern, Layer, Note
- 🚧 strudel_ir/edit.rs - PatternEdit operations
- 🚧 strudel_ir/effect.rs - FX types
- 🚧 strudel_ir/api.rs - Generated from CSV

3. Network Protocol
- 🚧 network/control.rs - ControlMessage enum
- 🚧 network/data.rs - DataMessage enum
- 🚧 network/device.rs - DeviceInfo, roles

4. Serialization
- 🚧 serialization.rs - MessagePack & JSON helpers

📋 TODO (Next Steps)

1. Complete cc-protocol (This Week)
- [ ] control_packet.rs
- [ ] clock.rs
- [ ] latent.rs (re-export)
- [ ] section_state.rs (re-export)
- [ ] Complete Strudel-IR AST
- [ ] Network message types
- [ ] Serialization helpers
- [ ] build.rs for CSV code generation

2. Extend cc-brain (Next Week)
- [ ] Add coherence/ module (periodicity detection, tempo estimation)
- [ ] Add strudel_ir/ module (pattern compiler)
- [ ] Add controller/ module (musical decisions)
- [ ] Integrate cc-protocol as dependency
- [ ] Update EchelonCore to emit ControlPacket

3. iOS Integration (Week 3)
- [ ] Swift bindings for cc-protocol
- [ ] Link cc-brain as static library
- [ ] Update EchelonCapture to use new protocol
- [ ] Network streaming with ControlPacket

4. Desktop App (Week 3-4)
- [ ] Initialize Tauri project in apps/echelon-desktop
- [ ] Device discovery (mDNS)
- [ ] Live visualization of ControlPacket
- [ ] Session management UI

🏗️ Architecture Overview

┌─────────────────────────────────────────────────────────┐
│  iOS App (EchelonCapture)                               │
│  ┌────────────┐  ┌──────────────┐  ┌────────────────┐  │
│  │  Sensors   │→ │  cc-brain    │→ │ ControlPacket  │→ Network
│  │  (IMU)     │  │  (Rust lib)  │  │  (cc-protocol) │  │
│  └────────────┘  └──────────────┘  └────────────────┘  │
└─────────────────────────────────────────────────────────┘
                                ↓
┌─────────────────────────────────────────────────────────┐
│  Desktop App (Tauri)                                    │
│  ┌────────────┐  ┌──────────────┐  ┌────────────────┐  │
│  │ WebSocket  │→ │ Visualizer   │  │  Session Mgmt  │  │
│  │  Server    │  │ (Three.js)   │  │  (Storage)     │  │
│  └────────────┘  └──────────────┘  └────────────────┘  │
└─────────────────────────────────────────────────────────┘

📦 Crate Dependencies

cc-protocol (NEW)
  ├─ serde, serde_json, rmp-serde
  └─ (no other deps - foundation crate)

cc-brain (EXISTING)
  ├─ cc-protocol (NEW DEPENDENCY)
  ├─ nalgebra
  └─ serde

motion-bridge (EXISTING)
  ├─ cc-brain
  ├─ cc-protocol (NEW DEPENDENCY)
  └─ tokio, hyper

EchelonCapture (iOS)
  └─ cc-brain (static lib via FFI)
      └─ cc-protocol

🎵 Strudel API Integration

Source: `strudel_api_references.csv` (557 entries)

Strategy:
1. Parse CSV at build time (build.rs)
2. Generate Rust types for each API function
3. Create type-safe builder pattern
4. Map to native audio engine (iOS: AudioKit, Desktop: cpal/rodio)

Tier 1 Priority (MVP - ~30 functions):

Sound: s(), sound(), note(), freq()
Rhythm: euclid(), struct(), beat()
Envelope: attack(), decay(), sustain(), release(), gain()
FX: lpf(), hpf(), delay(), reverb(), pan()
Patterns: fast(), slow(), cat(), stack(), every()

Implementation:
- Parse in build.rs
- Generate strudel_ir/api.rs
- Each function becomes a method on Pattern/Layer
- Type-safe parameter validation
- Serializable IR for cross-platform

🔄 Data Flow

Sensors (100Hz) → LIM-RPS → LatentState
                              ↓
                    CoherenceGate → CoherenceMetrics
                              ↓
                    StateMachine → SectionState
                              ↓
                    LexiconController → Lexicon
                              ↓
                    ═══════════════════════════════
                         ControlPacket
                    ═══════════════════════════════
                              ↓
                    ExecutionClock → Quantization
                              ↓
                    Controller → PatternEdit
                              ↓
                    Strudel-IR → Audio Events
                              ↓
                    Audio Engine → Sound

🧪 Testing Strategy

1. Unit Tests (Each module)
- Sensor frame creation/parsing
- Coherence calculations
- Pattern compilation
- Serialization round-trips

2. Integration Tests
- Sensor → ControlPacket pipeline
- Pattern edits under different coupling modes
- Network serialization/deserialization

3. Benchmarks (criterion)
- LIM-RPS inference speed (<10ms target)
- ControlPacket serialization (<1ms)
- Pattern compilation (<5ms)

📊 Performance Targets

• Latency: Sensor → Audio < 50ms total
• Sensor → LatentState: <10ms
• LatentState → ControlPacket: <5ms
• ControlPacket → Audio Events: <10ms
• Audio Events → Sound: <25ms (audio buffer)

• Throughput:
• 100+ sensor frames/sec
• 10+ ControlPackets/sec to network
• 1000+ audio events/sec

• Memory:
• ControlPacket size: 200-500 bytes
• Total latent state: <10KB
• Pattern state: <100KB

🚀 Next Actions

Today:
1. ✅ Create cc-protocol crate
2. ✅ Implement sensor.rs
3. ✅ Implement coherence.rs
4. 🚧 Implement control_packet.rs
5. 🚧 Implement clock.rs

Tomorrow:
1. Complete Strudel-IR types
2. Implement network messages
3. Create serialization helpers
4. Write build.rs for CSV parsing

This Week:
1. Complete cc-protocol crate
2. Write comprehensive tests
3. Generate documentation
4. Create Swift bindings script

Next Week:
1. Add coherence module to cc-brain
2. Integrate cc-protocol
3. Update EchelonCore API
4. iOS integration

---

Files Created So Far:
- `cc-echelon/crates/cc-protocol/Cargo.toml`
- `cc-echelon/crates/cc-protocol/README.md`
- `cc-echelon/crates/cc-protocol/src/lib.rs`
- `cc-echelon/crates/cc-protocol/src/sensor.rs` (Complete, 350+ lines)
- `cc-echelon/crates/cc-protocol/src/coherence.rs` (Complete, 250+ lines)

Next Files:
- `cc-echelon/crates/cc-protocol/src/control_packet.rs`
- `cc-echelon/crates/cc-protocol/src/clock.rs`
- `cc-echelon/crates/cc-protocol/src/latent.rs`
- `cc-echelon/crates/cc-protocol/src/section_state.rs`
- `cc-echelon/crates/cc-protocol/src/strudel_ir/mod.rs`