Antoine
9eed4d81eb
feat: Add Claude Code terminal integration to dashboard
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- Add embedded Claude Code terminal with xterm.js for full CLI experience
- Create WebSocket PTY backend for real-time terminal communication
- Add terminal status endpoint to check CLI availability
- Update dashboard to use Claude Code terminal instead of API chat
- Add optimization control panel with start/stop/validate actions
- Add study context provider for global state management
- Update frontend with new dependencies (xterm.js addons)
- Comprehensive README documentation for all new features
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-12-04 15:02:13 -05:00
Antoine
8cbdbcad78
feat: Add Protocol 13 adaptive optimization, Plotly charts, and dashboard improvements
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## Protocol 13: Adaptive Multi-Objective Optimization
- Iterative FEA + Neural Network surrogate workflow
- Initial FEA sampling, NN training, NN-accelerated search
- FEA validation of top NN predictions, retraining loop
- adaptive_state.json tracks iteration history and best values
- M1 mirror study (V11) with 103 FEA, 3000 NN trials
## Dashboard Visualization Enhancements
- Added Plotly.js interactive charts (parallel coords, Pareto, convergence)
- Lazy loading with React.lazy() for performance
- Code splitting: plotly.js-basic-dist (~1MB vs 3.5MB)
- Chart library toggle (Recharts default, Plotly on-demand)
- ExpandableChart component for full-screen modal views
- ConsoleOutput component for real-time log viewing
## Documentation
- Protocol 13 detailed documentation
- Dashboard visualization guide
- Plotly components README
- Updated run-optimization skill with Mode 5 (adaptive)
## Bug Fixes
- Fixed TypeScript errors in dashboard components
- Fixed Card component to accept ReactNode title
- Removed unused imports across components
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-12-04 07:41:54 -05:00
Antoine
75d7036193
feat: Enhance dashboard with charts, study report viewer, and pruning tracking
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- Add ConvergencePlot component with running best, statistics, gradient fill
- Add ParameterImportanceChart with Pearson correlation analysis
- Add StudyReportViewer with KaTeX math rendering and full markdown support
- Update pruning endpoint to query Optuna database directly
- Add /report endpoint for STUDY_REPORT.md files
- Fix chart data transformation for single/multi-objective studies
- Update Protocol 13 documentation with new components
- Update generate-report skill with dashboard integration
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-12-02 22:01:49 -05:00
e3bdb08a22
feat: Major update with validators, skills, dashboard, and docs reorganization
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- Add validation framework (config, model, results, study validators)
- Add Claude Code skills (create-study, run-optimization, generate-report,
troubleshoot, analyze-model)
- Add Atomizer Dashboard (React frontend + FastAPI backend)
- Reorganize docs into structured directories (00-09)
- Add neural surrogate modules and training infrastructure
- Add multi-objective optimization support
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-11-25 19:23:58 -05:00
d228ccec66
refactor: Archive experimental LLM features for MVP stability (Phase 1.1)
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Moved experimental LLM integration code to optimization_engine/future/:
- llm_optimization_runner.py - Runtime LLM API runner
- llm_workflow_analyzer.py - Workflow analysis
- inline_code_generator.py - Auto-generate calculations
- hook_generator.py - Auto-generate hooks
- report_generator.py - LLM report generation
- extractor_orchestrator.py - Extractor orchestration
Added comprehensive optimization_engine/future/README.md explaining:
- MVP LLM strategy (Claude Code skills, not runtime LLM)
- Why files were archived
- When to revisit post-MVP
- Production architecture reference
Production runner confirmed: optimization_engine/runner.py is sole active runner.
This establishes clear separation between:
- Production code (stable, no runtime LLM dependencies)
- Experimental code (archived for post-MVP exploration)
Part of Phase 1: Core Stabilization & Organization for MVP
Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com >
2025-11-24 09:12:36 -05:00
dd7f0c0f82
Phase 3.3: Multi-objective optimization fix, updated docs & Claude skill
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- Fixed drone gimbal optimization to use proper semantic directions
- Changed from ['minimize', 'minimize'] to ['minimize', 'maximize']
- Updated Claude skill (v2.0) with Phase 3.3 integration
- Added centralized extractor library documentation
- Added multi-objective optimization (Protocol 11) section
- Added NX multi-solution protocol documentation
- Added dashboard integration documentation
- Fixed Pareto front degenerate issue with proper NSGA-II configuration
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-11-24 07:49:48 -05:00
f76bd52894
feat: Implement Protocol 13 - Real-Time Dashboard Tracking
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Complete implementation of Protocol 13 featuring real-time web dashboard
for monitoring multi-objective optimization studies.
## New Features
### Backend (Python)
- Real-time tracking system with per-trial JSON writes
- New API endpoints for metadata, optimizer state, and Pareto fronts
- Unit inference from objective descriptions
- Multi-objective support using Optuna's best_trials API
### Frontend (React + TypeScript)
- OptimizerPanel: Real-time optimizer state (phase, strategy, progress)
- ParetoPlot: Pareto front visualization with normalization toggle
- 3 modes: Raw, Min-Max [0-1], Z-Score standardization
- Pareto front line connecting optimal points
- ParallelCoordinatesPlot: High-dimensional interactive visualization
- Objectives + design variables on parallel axes
- Click-to-select, hover-to-highlight
- Color-coded feasibility
- Dynamic units throughout all visualizations
### Documentation
- Comprehensive Protocol 13 guide with architecture, data flow, usage
## Files Added
- `docs/PROTOCOL_13_DASHBOARD.md`
- `atomizer-dashboard/frontend/src/components/OptimizerPanel.tsx`
- `atomizer-dashboard/frontend/src/components/ParetoPlot.tsx`
- `atomizer-dashboard/frontend/src/components/ParallelCoordinatesPlot.tsx`
- `optimization_engine/realtime_tracking.py`
## Files Modified
- `atomizer-dashboard/frontend/src/pages/Dashboard.tsx`
- `atomizer-dashboard/backend/api/routes/optimization.py`
- `optimization_engine/intelligent_optimizer.py`
## Testing
- Tested with bracket_stiffness_optimization_V2 (30 trials, 20 Pareto solutions)
- Dashboard running on localhost:3001
- All P1 and P2 features verified working
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-11-21 15:58:00 -05:00
