Files
Atomizer/CHANGELOG.md
Anto01 a3f18dc377 chore: Project cleanup and Canvas UX improvements (Phase 7-9)
## Cleanup (v0.5.0)
- Delete 102+ orphaned MCP session temp files
- Remove build artifacts (htmlcov, dist, __pycache__)
- Archive superseded plan docs (RALPH_LOOP V2/V3, CANVAS V3, etc.)
- Move debug/analysis scripts from tests/ to tools/analysis/
- Archive redundant NX journals to archive/nx_journals/
- Archive monolithic PROTOCOL.md to docs/archive/
- Update .gitignore with missing patterns
- Clean old study files (optimization_log_old.txt, run_optimization_old.py)

## Canvas UX (Phases 7-9)
- Phase 7: Resizable panels with localStorage persistence
  - Left sidebar: 200-400px, Right panel: 280-600px
  - New useResizablePanel hook and ResizeHandle component
- Phase 8: Enable all palette items
  - All 8 node types now draggable
  - Singleton logic for model/solver/algorithm/surrogate
- Phase 9: Solver configuration
  - Add SolverEngine type (nxnastran, mscnastran, python, etc.)
  - Add NastranSolutionType (SOL101-SOL200)
  - Engine/solution dropdowns in config panel
  - Python script path support

## Documentation
- Update CHANGELOG.md with recent versions
- Update docs/00_INDEX.md
- Create examples/README.md
- Add docs/plans/CANVAS_UX_IMPROVEMENTS.md
2026-01-24 15:17:34 -05:00

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# Changelog
All notable changes to Atomizer will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
## [Unreleased]
## [0.5.0] - 2025-01-24
### Project Cleanup & Organization
- Deleted 102+ orphaned MCP session temp files
- Removed build artifacts (htmlcov, dist, __pycache__)
- Archived superseded plan documents (RALPH_LOOP V2/V3, CANVAS V3, etc.)
- Moved debug/analysis scripts from tests/ to tools/analysis/
- Updated .gitignore with missing patterns
- Cleaned empty directories
## [0.4.0] - 2025-01-22
### Canvas UX Improvements (Phases 7-9)
- **Resizable Panels**: Left sidebar (200-400px) and right panel (280-600px) with localStorage persistence
- **All Palette Items Enabled**: All 8 node types now draggable (model, solver, designVar, extractor, objective, constraint, algorithm, surrogate)
- **Solver Configuration**: Engine selection (NX Nastran, MSC Nastran, Python Script) with solution type dropdowns (SOL101-SOL200)
### AtomizerSpec v2.0
- Unified JSON configuration schema for all studies
- Added SolverEngine and NastranSolutionType types
- Canvas position persistence for all nodes
- Migration support from legacy optimization_config.json
## [0.3.0] - 2025-01-18
### Dashboard V3.1 - Canvas Builder
- Visual workflow builder with 9 node types
- Spec ↔ ReactFlow bidirectional converter
- WebSocket real-time synchronization
- Claude chat integration
- Custom extractors with in-canvas code editor
- Model introspection panel
### Learning Atomizer Core (LAC)
- Persistent memory system for accumulated knowledge
- Session insights recording (failures, workarounds, patterns)
- Optimization outcome tracking
## [0.2.5] - 2025-01-16
### GNN Surrogate for Zernike Optimization
- PolarMirrorGraph with fixed 3000-node polar grid
- ZernikeGNN model with design-conditioned convolutions
- Differentiable GPU-accelerated Zernike fitting
- Training pipeline with multi-task loss
### DevLoop Automation
- Closed-loop development system with AI agents
- Gemini planning, Claude implementation
- Playwright browser testing for dashboard UI
## [0.2.1] - 2025-01-07
### Optimization Engine v2.0 Restructure
- Reorganized into modular subpackages (core/, nx/, study/, config/)
- SpecManager for AtomizerSpec handling
- Deprecation warnings for old import paths
### Phase 3.3 - Dashboard & Multi-Solution Support (November 23, 2025)
#### Added
- **React Dashboard** with comprehensive multi-objective visualization
- Parallel Coordinates Plot with research-based design
- Light theme with high-visibility colors (white background, dark text)
- Interactive trial selection and highlighting
- Color-coded axes: Design Variables (blue) → Objectives (green) → Constraints (yellow)
- Automatic constraint extraction from trial user_attrs
- Support for units display (mm, MPa, Hz, g, etc.)
- Pareto Front scatter plot for multi-objective optimization
- Real-time WebSocket updates for live monitoring
- FastAPI backend (port 8000) with Vite frontend (port 3003)
- Optimizer Strategy Panel showing algorithm info and metrics
- Comprehensive dashboard documentation: [DASHBOARD.md](docs/DASHBOARD.md)
- **NX Multi-Solution Protocol** documentation
- Critical fix for multi-solution workflows documented
- Best practices for static + modal, thermal + structural simulations
- [NX_MULTI_SOLUTION_PROTOCOL.md](docs/NX_MULTI_SOLUTION_PROTOCOL.md)
- **Centralized Extractor Library**
- `optimization_engine/extractors/` with base classes
- Eliminates code duplication across studies
- Unified error handling and OP2 file processing
#### Changed
- **CRITICAL FIX**: Multi-solution NX workflows now use `SolveAllSolutions()` API
- Ensures all solutions (static + modal, etc.) complete before returning
- Uses Foreground mode for reliable multi-solution solves
- Prevents stale OP2 files and identical results across trials
- Implementation in `optimization_engine/solve_simulation.py` lines 271-295
#### Fixed
- Multi-solution NX simulations only solving first solution
- Parallel coordinates plot crashes due to undefined axis labels
- Dashboard page crashes from missing data validation
- Identical frequency values across trials in multi-solution studies
- NaN values in constraint visualization
### Phase 3.2 - Integration & NX Enhancements (In Progress)
#### Added
- **NX Expression Import System** (2025-11-17)
- Robust .exp file-based expression updates via NX journal scripts
- Supports ALL NX expression types including binary-stored ones
- Automatic unit detection and formatting
- Fixes issue with `hole_count` and other feature-linked expressions
- Documentation: [NX_EXPRESSION_IMPORT_SYSTEM.md](docs/NX_EXPRESSION_IMPORT_SYSTEM.md)
- New journal: `import_expressions.py` for .exp file import
- Enhanced `nx_updater.py` with `update_expressions_via_import()` method
- **4D Design Space Validation** (2025-11-17)
- Validated full 4-variable optimization (beam_half_core_thickness, beam_face_thickness, holes_diameter, hole_count)
- All variables now updating correctly in optimization loop
- Mesh adaptation verified across different hole_count values
### Phase 2 - LLM Integration (Completed 85%)
- Natural language interface for optimization configuration
- Feature registry with capability catalog
- Claude skill for Atomizer navigation
- LLM workflow analyzer and extractor orchestration
- Dynamic code generation for hooks and extractors
---
## [0.2.0] - 2025-01-16
### Phase 1 - Plugin System & Infrastructure ✅
#### Added
- **Plugin Architecture**
- Hook manager with lifecycle execution at `pre_solve`, `post_solve`, and `post_extraction` points
- Plugin auto-discovery from `optimization_engine/plugins/` directory
- Priority-based hook execution
- Context passing system for hooks (output_dir, trial_number, design_variables, results)
- **Logging Infrastructure**
- Detailed per-trial logs in `optimization_results/trial_logs/`
- Complete iteration trace with timestamps
- Design variables, configuration, execution timeline
- Extracted results and constraint evaluations
- High-level optimization progress log (`optimization.log`)
- Configuration summary header
- Trial START and COMPLETE entries (one line per trial)
- Compact format for easy progress monitoring
- **Logging Plugins**
- `detailed_logger.py` - Creates detailed trial logs
- `optimization_logger.py` - Creates high-level optimization.log
- `log_solve_complete.py` - Appends solve completion to trial logs
- `log_results.py` - Appends extracted results to trial logs
- `optimization_logger_results.py` - Appends results to optimization.log
- **Project Organization**
- Studies folder structure with standardized layout
- Comprehensive studies documentation ([studies/README.md](studies/README.md))
- Model files organized in `model/` subdirectory (`.prt`, `.sim`, `.fem`)
- Intelligent path resolution system (`atomizer_paths.py`)
- Marker-based project root detection
- **Test Suite**
- `test_hooks_with_bracket.py` - Hook validation test (3 trials)
- `run_5trial_test.py` - Quick integration test (5 trials)
- `test_journal_optimization.py` - Full optimization test
#### Changed
- Renamed `examples/` folder to `studies/`
- Moved bracket example to `studies/bracket_stress_minimization/`
- Consolidated FEA files into `model/` subfolder
- Updated all test scripts to use `atomizer_paths` for imports
- Runner now passes `output_dir` to all hook contexts
#### Removed
- Obsolete test scripts from examples/ (14 files deleted)
- `optimization_logs/` and `optimization_results/` from root directory
#### Fixed
- Log files now correctly generated in study-specific `optimization_results/` folder
- Path resolution works regardless of script location
- Hooks properly registered with `register_hooks()` function
---
## [0.1.0] - 2025-01-10
### Initial Release
#### Core Features
- Optuna integration with TPE sampler
- NX journal integration for expression updates and simulation execution
- OP2 result extraction (stress, displacement)
- Study management with folder-based isolation
- Web dashboard for real-time monitoring
- Precision control (4-decimal rounding for mm/degrees/MPa)
- Crash recovery and optimization resumption
---
## Development Timeline
- **Phase 1** (✅ Completed 2025-01-16): Plugin system & hooks
- **Phase 2** (🟡 Starting): LLM interface with natural language configuration
- **Phase 3** (Planned): Dynamic code generation for custom objectives
- **Phase 4** (Planned): Intelligent analysis and surrogate quality assessment
- **Phase 5** (Planned): Automated HTML/PDF report generation
- **Phase 6** (Planned): NX MCP server with full API documentation
- **Phase 7** (Planned): Self-improving feature registry
---
**Maintainer**: Antoine Polvé (antoine@atomaste.com)
**License**: Proprietary - Atomaste © 2025