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docs: Comprehensive documentation update for Dashboard V3 and Canvas

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## Documentation Updates
- DASHBOARD.md: Updated to V3.0 with Canvas V3 features, file browser, introspection
- DASHBOARD_IMPLEMENTATION_STATUS.md: Marked Canvas V3 features as COMPLETE
- CANVAS.md: New comprehensive guide for Canvas Builder V3 with all features
- CLAUDE.md: Added dashboard quick reference and Canvas V3 features

## Canvas V3 Features Documented
- File Browser: Browse studies directory for model files
- Model Introspection: Auto-discover expressions, solver type, dependencies
- One-Click Add: Add expressions as design variables instantly
- Claude Bug Fixes: WebSocket reconnection, SQL errors resolved
- Health Check: /api/health endpoint for monitoring

## Backend Services
- NX introspection service with expression discovery
- File browser API with type filtering
- Claude session management improvements
- Context builder enhancements

## Frontend Components
- FileBrowser: Modal for file selection with search
- IntrospectionPanel: View discovered model information
- ExpressionSelector: Dropdown for design variable configuration
- Improved chat hooks with reconnection logic

## Plan Documents
- Added RALPH_LOOP_CANVAS_V2/V3 implementation records
- Added ATOMIZER_DASHBOARD_V2_MASTER_PLAN
- Added investigation and sync documentation

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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# Dashboard Implementation Status
**Last Updated**: November 21, 2025
**Last Updated**: January 16, 2026
**Version**: 3.0
---
## Overview
Dashboard implementation following the master plan in [DASHBOARD_MASTER_PLAN.md](DASHBOARD_MASTER_PLAN.md), prioritized as:
1. **Live Dashboard** (Phase 4) - In Progress
2. Study Configurator (Phase 3)
3. Results Viewer (Phase 5)
The Atomizer Dashboard V2 is now feature-complete with the Canvas Builder. This document tracks implementation status across all major features.
---
## Completed: Backend (Phase 1 + 4)
## Phase Summary
### ✅ FastAPI Backend
- **Main application**: [atomizer-dashboard/backend/api/main.py](../atomizer-dashboard/backend/api/main.py)
- **CORS middleware** configured for local development
- **Auto-reload** enabled for development
| Phase | Name | Status | Notes |
|-------|------|--------|-------|
| 0 | MCP Chat Foundation | COMPLETE | Claude API integration, session management |
| 1 | Canvas with React Flow | COMPLETE | 8 node types, validation, serialization |
| 2 | LLM Intelligence Layer | COMPLETE | Canvas chat hook, MCP canvas tools |
| 3 | Bidirectional Sync | COMPLETE | Session persistence, context builder |
| 4 | Templates & Polish | COMPLETE | Template selector, config importer |
| 5 | Tauri Desktop | PLANNED | Future phase |
### ✅ REST API Endpoints
**File**: [atomizer-dashboard/backend/api/routes/optimization.py](../atomizer-dashboard/backend/api/routes/optimization.py)
---
Implemented endpoints:
- `GET /api/optimization/studies` - List all studies
- `GET /api/optimization/studies/{study_id}/status` - Get study status
- `GET /api/optimization/studies/{study_id}/history` - Get trial history
- `GET /api/optimization/studies/{study_id}/pruning` - Get pruning diagnostics
## Phase 0: MCP Chat Foundation - COMPLETE
### ✅ WebSocket Real-Time Updates
**File**: [atomizer-dashboard/backend/api/websocket/optimization_stream.py](../atomizer-dashboard/backend/api/websocket/optimization_stream.py)
### Backend Services
| Component | File | Lines | Status |
|-----------|------|-------|--------|
| Claude Agent | `backend/api/services/claude_agent.py` | 722 | COMPLETE |
| CLI Agent | `backend/api/services/claude_cli_agent.py` | 202 | COMPLETE |
| Conversation Store | `backend/api/services/conversation_store.py` | 295 | COMPLETE |
| Session Manager | `backend/api/services/session_manager.py` | 425 | COMPLETE |
| Context Builder | `backend/api/services/context_builder.py` | 246 | COMPLETE |
### MCP Server
| Tool | Description | Status |
|------|-------------|--------|
| `list_studies` | List all studies | COMPLETE |
| `get_study_status` | Study details | COMPLETE |
| `create_study` | Create from description | COMPLETE |
| `run_optimization` | Start optimization | COMPLETE |
| `stop_optimization` | Stop optimization | COMPLETE |
| `get_trial_data` | Query trials | COMPLETE |
| `analyze_convergence` | Convergence metrics | COMPLETE |
| `compare_trials` | Side-by-side comparison | COMPLETE |
| `get_best_design` | Best design details | COMPLETE |
| `generate_report` | Markdown reports | COMPLETE |
| `export_data` | CSV/JSON export | COMPLETE |
| `explain_physics` | FEA concepts | COMPLETE |
| `recommend_method` | Algorithm recommendation | COMPLETE |
| `query_extractors` | Extractor list | COMPLETE |
---
## Phase 1: Canvas with React Flow - COMPLETE
### Core Components
| Component | Location | Status |
|-----------|----------|--------|
| Schema | `frontend/src/lib/canvas/schema.ts` | COMPLETE |
| Intent Serializer | `frontend/src/lib/canvas/intent.ts` | COMPLETE |
| Validation | `frontend/src/lib/canvas/validation.ts` | COMPLETE |
| Templates | `frontend/src/lib/canvas/templates.ts` | COMPLETE |
| Canvas Store | `frontend/src/hooks/useCanvasStore.ts` | COMPLETE |
| Main Canvas | `frontend/src/components/canvas/AtomizerCanvas.tsx` | COMPLETE |
### Node Types (8)
| Node | Icon | Color | Status |
|------|------|-------|--------|
| Model | `Cube` | Blue | COMPLETE |
| Solver | `Cpu` | Violet | COMPLETE |
| Design Variable | `SlidersHorizontal` | Emerald | COMPLETE |
| Extractor | `FlaskConical` | Cyan | COMPLETE |
| Objective | `Target` | Rose | COMPLETE |
| Constraint | `ShieldAlert` | Amber | COMPLETE |
| Algorithm | `BrainCircuit` | Indigo | COMPLETE |
| Surrogate | `Rocket` | Pink | COMPLETE |
### Panels
| Panel | Purpose | Status |
|-------|---------|--------|
| NodeConfigPanel | Configure selected node | COMPLETE |
| ValidationPanel | Display validation errors | COMPLETE |
| ExecuteDialog | Confirm study creation | COMPLETE |
| ChatPanel | Claude chat sidebar | COMPLETE |
| ConfigImporter | Load from study/JSON | COMPLETE |
| TemplateSelector | Choose workflow template | COMPLETE |
---
## Phase 2: LLM Intelligence Layer - COMPLETE
### Canvas MCP Tools
| Tool | Purpose | Status |
|------|---------|--------|
| `validate_canvas_intent` | Validate graph before execution | COMPLETE |
| `execute_canvas_intent` | Create study + optionally run | COMPLETE |
| `interpret_canvas_intent` | Get recommendations | COMPLETE |
### Canvas Chat Hook
| Hook | File | Status |
|------|------|--------|
| `useCanvasChat` | `frontend/src/hooks/useCanvasChat.ts` | COMPLETE |
Features:
- **File watching** using `watchdog` library
- Monitors `optimization_history_incremental.json` for changes
- Monitors `pruning_history.json` for pruned trials
- **Automatic broadcasting** to all connected clients
- **Connection management** (starts/stops observers automatically)
Message types:
- `connected` - Initial connection confirmation
- `trial_completed` - New trial finished
- `new_best` - New best trial found
- `progress` - Progress updates (current/total trials)
- `trial_pruned` - Trial pruned (with diagnostics)
### ✅ Documentation
- **Backend README**: [atomizer-dashboard/backend/README.md](../atomizer-dashboard/backend/README.md)
- API usage examples
- WebSocket message protocol
- Testing instructions
- `processWithClaude(intent)` - Full processing with study creation
- `validateWithClaude(intent)` - Validation only
- `analyzeWithClaude(intent)` - Get recommendations
---
## ✅ Completed: Enhanced Live Dashboard (Phase 4)
## Phase 3: Bidirectional Sync - COMPLETE
### Live Dashboard Features (dashboard-enhanced.html)
**Location**: [atomizer-dashboard/dashboard-enhanced.html](../atomizer-dashboard/dashboard-enhanced.html)
Fully functional live dashboard with:
- ✅ **Real-time WebSocket streaming** - Instant updates on new trials
- ✅ **Study discovery** - Auto-detects all active studies
- ✅ **Interactive charts** (Chart.js v4.4.0):
- Convergence plot (objective value + "best so far" trajectory)
- Parameter space scatter plot (2D visualization of design variables)
- ✅ **Pruning alerts** - Toast notifications for pruned trials
- ✅ **Data export** - Download trial history as JSON or CSV
- ✅ **Metric dashboard** - Total trials, best value, average, pruned count
- ✅ **Live trial feed** - Last 20 trials with animations
- ✅ **Connection monitoring** - WebSocket status indicator
- ✅ **Alert system** - Success/warning notifications with auto-dismiss
**Access**: http://localhost:8000 (after starting backend)
| Feature | Status |
|---------|--------|
| Session persistence (SQLite) | COMPLETE |
| Context builder | COMPLETE |
| Canvas to Chat bridge | COMPLETE |
| Study context loading | COMPLETE |
---
## Pending: Full React Frontend (Phase 2)
## Phase 4: Templates & Polish - COMPLETE
### Next Phase Tasks
### Templates
#### High Priority
1. **Initialize React + Vite + TypeScript project**
2. **Set up TailwindCSS for styling**
3. **Create WebSocket connection hook** (`useWebSocket.ts`)
4. **Build Dashboard page component** (`Dashboard.tsx`)
5. **Migrate charts to Recharts** (React-compatible charting library)
6. **Add parameter importance chart** (Protocol 9 data)
7. **Add control panel** (start/stop/pause buttons - future)
| Template | Description | Complexity |
|----------|-------------|------------|
| Mass Minimization | Single-objective mass reduction | Simple |
| Multi-Objective | Mass + displacement Pareto | Medium |
| Turbo Mode | Neural-accelerated | Advanced |
| Mirror WFE | Zernike optimization | Advanced |
| Frequency Target | Modal analysis | Medium |
#### Medium Priority
8. **Create study list view**
9. **Add routing** (React Router)
10. **Build Study Configurator page**
11. **Build Results Viewer page**
### UI Features
| Feature | Status |
|---------|--------|
| Lucide icons (no emojis) | COMPLETE |
| Dark theme (Atomaster) | COMPLETE |
| Responsive layout | COMPLETE |
| Full-screen canvas | COMPLETE |
| Floating action buttons | COMPLETE |
---
## Testing Plan
## Canvas V3 Upgrade - COMPLETE
### Backend Testing
All Canvas V2 and V3 features have been implemented:
| Feature | Status |
|---------|--------|
| Professional Lucide icons | COMPLETE |
| Responsive full-screen layout | COMPLETE |
| Auto-load from optimization_config.json | COMPLETE |
| NX model introspection endpoint | COMPLETE |
| Expression search dropdown | COMPLETE |
| "Process with Claude" button | COMPLETE |
| MCP canvas tools | COMPLETE |
| Backend study list endpoint | COMPLETE |
| File browser for model selection | COMPLETE |
| Introspection panel (expressions, extractors) | COMPLETE |
| Claude WebSocket fixes | COMPLETE |
| Health check endpoint | COMPLETE |
---
## File Inventory
### MCP Server (`mcp-server/atomizer-tools/`)
```
src/
├── index.ts # Server entry (imports canvasTools)
├── tools/
│ ├── study.ts # Study management
│ ├── optimization.ts # Optimization control
│ ├── analysis.ts # Analysis tools
│ ├── reporting.ts # Report generation
│ ├── physics.ts # Physics explanations
│ ├── canvas.ts # Canvas intent tools
│ └── admin.ts # Power mode tools
└── utils/
└── paths.ts # Path utilities
```
### Backend Services (`atomizer-dashboard/backend/api/services/`)
```
__init__.py
claude_agent.py # Full Claude API integration (722 lines)
claude_cli_agent.py # CLI-based agent (202 lines)
conversation_store.py # SQLite persistence (295 lines)
session_manager.py # Session lifecycle (425 lines)
context_builder.py # Context assembly (246 lines)
nx_introspection.py # NX model introspection (NEW)
```
### Backend Routes (`atomizer-dashboard/backend/api/routes/`)
```
__init__.py
terminal.py # Claude WebSocket endpoint
optimization.py # Optimization API
studies.py # Study configuration
files.py # File browser API (NEW)
nx.py # NX introspection API (NEW)
```
### Frontend Canvas (`atomizer-dashboard/frontend/src/components/canvas/`)
```
AtomizerCanvas.tsx # Main canvas component
nodes/
├── index.ts # Node type registry
├── BaseNode.tsx # Base with multiple handles
├── ModelNode.tsx
├── SolverNode.tsx
├── DesignVarNode.tsx
├── ExtractorNode.tsx
├── ObjectiveNode.tsx
├── ConstraintNode.tsx
├── AlgorithmNode.tsx
└── SurrogateNode.tsx
panels/
├── NodeConfigPanel.tsx # Node configuration sidebar
├── ValidationPanel.tsx # Validation toast display
├── ExecuteDialog.tsx # Execute confirmation modal
├── ChatPanel.tsx # Claude chat sidebar
├── ConfigImporter.tsx # Study import dialog
├── TemplateSelector.tsx # Workflow template chooser
├── FileBrowser.tsx # File picker for model selection (NEW)
├── IntrospectionPanel.tsx # Model introspection results (NEW)
└── ExpressionSelector.tsx # Expression search dropdown (NEW)
palette/
└── NodePalette.tsx
```
### Canvas Library (`atomizer-dashboard/frontend/src/lib/canvas/`)
```
schema.ts # Type definitions
intent.ts # Serialization (174 lines)
validation.ts # Graph validation
templates.ts # Workflow templates
index.ts # Exports
```
---
## Testing Checklist
### Build Verification
#### Manual Test: REST API
```bash
# Start backend
cd atomizer-dashboard/backend
python -m uvicorn api.main:app --reload
# Build MCP server
cd mcp-server/atomizer-tools
npm run build
# Expected: Compiles without errors
# Test endpoints
curl http://localhost:8000/
curl http://localhost:8000/api/optimization/studies
curl http://localhost:8000/api/optimization/studies/circular_plate_frequency_tuning/status
# Build frontend
cd atomizer-dashboard/frontend
npm run build
# Expected: Compiles without errors
```
#### Manual Test: WebSocket
```bash
# Install wscat
npm install -g wscat
### Functional Testing
# Connect to WebSocket
wscat -c ws://localhost:8000/api/ws/optimization/circular_plate_frequency_tuning
# Or use Python
python -c "
import asyncio
import websockets
import json
async def test():
uri = 'ws://localhost:8000/api/ws/optimization/circular_plate_frequency_tuning'
async with websockets.connect(uri) as ws:
while True:
msg = await ws.recv()
print(json.loads(msg))
asyncio.run(test())
"
```
### Frontend Testing (Once Built)
1. **Unit tests**: React Testing Library
2. **Integration tests**: WebSocket mock server
3. **E2E tests**: Cypress with running optimization
---
## Architecture Summary
### Backend Stack
- **FastAPI** - Async Python web framework
- **Uvicorn** - ASGI server
- **Watchdog** - File system monitoring
- **WebSockets** - Real-time communication
### Frontend Stack (Planned)
- **React 18** - UI framework
- **Vite** - Build tool
- **TypeScript** - Type safety
- **TailwindCSS** - Styling
- **Recharts** - Interactive charts
- **React Query** - Server state management
### Communication Flow
```
optimization_history_incremental.json (file modified)
↓
Watchdog Observer
↓
OptimizationFileHandler
↓
WebSocket Broadcast
↓
Connected Clients (Frontend)
↓
React State Update
↓
UI Re-render (charts, tables)
```
---
## Next Steps
### Completed (This Session)
1. ✅ Backend complete (FastAPI + WebSocket + file watching)
2. ✅ Enhanced live dashboard (charts, pruning alerts, data export)
3. ✅ Real-time updates working end-to-end
4. ✅ Data export functionality (JSON/CSV)
### Short Term (Next Session)
5. Build full React + Vite + TypeScript frontend
6. Migrate to Recharts for React-compatible charts
7. Add parameter importance visualization
8. Build Study Configurator page
9. Build Results Viewer page
### Medium Term
9. Build Study Configurator page
10. Build Results Viewer page
11. Add LLM chat interface (future)
---
## File Structure (Current)
```
atomizer-dashboard/
├── backend/ ✅ COMPLETE
│ ├── api/
│ │ ├── main.py # FastAPI app
│ │ ├── routes/
│ │ │ ├── __init__.py
│ │ │ └── optimization.py # REST endpoints
│ │ └── websocket/
│ │ ├── __init__.py
│ │ └── optimization_stream.py # WebSocket + file watching
│ ├── requirements.txt
│ └── README.md
│
├── dashboard-test.html ✅ Basic live dashboard
├── dashboard-enhanced.html ✅ Enhanced with charts & export
│
└── frontend/ ⏳ PLANNED (React app)
└── (to be created in next phase)
```
---
## Known Issues / Limitations
### Backend
1. **Process management**: No start/stop optimization control yet (future enhancement)
2. **Authentication**: No auth layer (planned for future phase)
3. **Error handling**: Basic error handling, could be improved
4. **Testing**: No automated tests yet
### Frontend
- Not yet started
---
## Performance Considerations
### Backend
- **File watching overhead**: Minimal (~1ms per event)
- **WebSocket latency**: <100ms typical
- **Concurrent connections**: Tested with up to 10 clients per study
- **Memory**: ~50MB per active observer
### Expected Frontend Performance
- **Initial load**: <2s
- **WebSocket message handling**: <50ms
- **Chart re-render**: <100ms (with React.memo optimization)
- [ ] Navigate to `/canvas`
- [ ] Drag nodes from palette
- [ ] Connect nodes with edges
- [ ] Configure node properties
- [ ] Click "Validate"
- [ ] Click "Process with Claude"
- [ ] Chat panel responds
- [ ] Import from existing study
- [ ] Select workflow template
- [ ] Expression dropdown works
---
## References
- [Master Plan](DASHBOARD_MASTER_PLAN.md) - Complete architecture and roadmap
- [Backend README](../atomizer-dashboard/backend/README.md) - API documentation
- [Session Summary Nov 20](SESSION_SUMMARY_NOV20.md) - Previous work on optimization engine
- [Pruning Diagnostics](PRUNING_DIAGNOSTICS.md) - Data available for display
- [Canvas Documentation](CANVAS.md) - Full Canvas Builder guide
- [Dashboard Overview](DASHBOARD.md) - Main dashboard documentation
- [RALPH_LOOP_CANVAS_V2](../plans/RALPH_LOOP_CANVAS_V2.md) - V2 upgrade prompt
---
## Testing Instructions
### Start the Dashboard
```bash
# Terminal 1: Start backend
cd atomizer-dashboard/backend
python -m uvicorn api.main:app --reload --host 0.0.0.0 --port 8000
# Terminal 2: Start an optimization (if needed)
cd ../..
python studies/circular_plate_frequency_tuning/run_optimization.py
# Access dashboard at: http://localhost:8000
```
### Features to Test
1. **Study Discovery**: Dashboard should auto-load all active studies
2. **Study Selection**: Click a study in left sidebar to connect
3. **Real-time Updates**: New trials appear instantly (watch for animation)
4. **Charts**: Convergence and parameter space plots update in real-time
5. **Pruning Alerts**: Orange toast notification when trial is pruned
6. **Data Export**: Click "Export JSON" or "Export CSV" buttons
7. **WebSocket Log**: Check bottom panel for connection events
---
**Status**: ✅ Enhanced live dashboard complete and functional. Ready for React frontend development.
*Implementation completed via autonomous Claude Code sessions.*