## Removed Duplicate Directories - Deleted old `dashboard/` (replaced by atomizer-dashboard) - Deleted old `mcp_server/` Python tools (moved model_discovery to optimization_engine) - Deleted `tests/mcp_server/` (obsolete tests) - Deleted `launch_dashboard.bat` (old launcher) ## Consolidated Code - Moved `mcp_server/tools/model_discovery.py` to `optimization_engine/model_discovery/` - Updated import in `optimization_config_builder.py` - Deleted stub `extract_mass.py` (use extract_mass_from_bdf instead) - Deleted unused `intelligent_setup.py` and `hybrid_study_creator.py` - Archived `result_extractors/` to `archive/deprecated/` ## Documentation Cleanup - Deleted deprecated `docs/06_PROTOCOLS_DETAILED/` (14 files) - Archived dated dev docs to `docs/08_ARCHIVE/sessions/` - Archived old plans to `docs/08_ARCHIVE/plans/` - Updated `docs/protocols/README.md` with SYS_15 ## Skills Consolidation - Archived redundant study creation skills to `.claude/skills/archive/` - Kept `core/study-creation-core.md` as canonical ## Housekeeping - Updated `.gitignore` to prevent `nul` and `_dat_run*.dat` 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
95 lines
3.9 KiB
Markdown
95 lines
3.9 KiB
Markdown
# Advanced Dashboard Enhancement Plan
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## Objective
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Elevate the Atomizer Dashboard to a "Gemini 3.0 level" experience, focusing on scientific rigor, advanced visualization, and deep integration with the optimization engine. This plan addresses the user's request for a "WAY better" implementation based on the initial master prompt.
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## 1. Advanced Visualization Suite (Phase 3 Enhancements)
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**Goal**: Replace basic charts with state-of-the-art scientific visualizations.
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### 1.1 Parallel Coordinates Plot
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- **Library**: Recharts (custom implementation) or D3.js wrapped in React.
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- **Features**:
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- Visualize high-dimensional relationships between design variables and objectives.
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- Interactive brushing/filtering to isolate high-performing designs.
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- Color coding by objective value (e.g., mass or stress).
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### 1.2 Hypervolume Evolution
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- **Goal**: Track the progress of multi-objective optimization.
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- **Implementation**:
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- Calculate hypervolume metric for each generation/batch.
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- Plot evolution over time to show convergence speed and quality.
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### 1.3 Pareto Front Evolution
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- **Goal**: Visualize the trade-off surface between conflicting objectives.
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- **Implementation**:
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- 2D/3D scatter plot of objectives.
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- Animation slider to show how the front evolves over trials.
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- Highlight the "current best" non-dominated solutions.
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### 1.4 Parameter Correlation Matrix
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- **Goal**: Identify relationships between variables.
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- **Implementation**:
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- Heatmap showing Pearson/Spearman correlation coefficients.
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- Helps users understand which variables drive performance.
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## 2. Iteration Analysis & 3D Viewer (Phase 4)
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**Goal**: Deep dive into individual trial results with 3D context.
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### 2.1 Advanced Trial Table
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- **Features**:
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- Sortable, filterable columns for all variables and objectives.
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- "Compare" mode: Select 2-3 trials to view side-by-side.
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- Status indicators with detailed tooltips (e.g., pruning reasons).
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### 2.2 3D Mesh Viewer (Three.js)
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- **Integration**:
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- Load `.obj` or `.gltf` files converted from Nastran `.bdf` or `.op2`.
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- **Color Mapping**: Overlay stress/displacement results on the mesh.
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- **Controls**: Orbit, zoom, pan, section cuts.
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- **Comparison**: Split-screen view for comparing baseline vs. optimized geometry.
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## 3. Report Generation (Phase 5)
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**Goal**: Automated, publication-ready reporting.
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### 3.1 Dynamic Report Builder
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- **Features**:
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- Markdown-based editor with live preview.
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- Drag-and-drop charts from the dashboard into the report.
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- LLM integration: "Explain this convergence plot" -> Generates text.
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### 3.2 Export Options
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- **Formats**: PDF (via `react-to-print` or server-side generation), HTML, Markdown.
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- **Content**: Includes high-res charts, tables, and 3D snapshots.
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## 4. UI/UX Polish (Scientific Theme)
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**Goal**: Professional, "Dark Mode" scientific aesthetic.
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- **Typography**: Use a monospaced font for data (e.g., JetBrains Mono, Fira Code) and a clean sans-serif for UI (Inter).
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- **Color Palette**:
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- Background: `#0a0a0a` (Deep black/gray).
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- Accents: Neon cyan/blue for data, muted gray for UI.
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- Status: Traffic light colors (Green/Yellow/Red) but desaturated/neon.
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- **Layout**:
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- Collapsible sidebars for maximum data visibility.
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- "Zen Mode" for focusing on specific visualizations.
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- Dense data display (compact rows, small fonts) for information density.
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## Implementation Roadmap
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1. **Step 1: Advanced Visualizations**
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- Implement Parallel Coordinates.
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- Implement Pareto Front Plot.
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- Enhance Convergence Plot with confidence intervals (if available).
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2. **Step 2: Iteration Analysis**
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- Build the advanced data table with sorting/filtering.
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- Create the "Compare Trials" view.
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3. **Step 3: 3D Viewer Foundation**
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- Set up Three.js canvas.
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- Implement basic mesh loading (placeholder geometry first).
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- Add color mapping logic.
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4. **Step 4: Reporting & Polish**
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- Build the report editor.
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- Apply the strict "Scientific Dark" theme globally. |