Anto01
ea437d360e
- Restructure docs/ folder (remove numeric prefixes): - 04_USER_GUIDES -> guides/ - 05_API_REFERENCE -> api/ - 06_PHYSICS -> physics/ - 07_DEVELOPMENT -> development/ - 08_ARCHIVE -> archive/ - 09_DIAGRAMS -> diagrams/ - Replace tagline 'Talk, don't click' with 'LLM-driven optimization framework' in 9 files - Create comprehensive docs/GETTING_STARTED.md: - Prerequisites and quick setup - Project structure overview - First study tutorial (Claude or manual) - Dashboard usage guide - Neural acceleration introduction - Rewrite docs/00_INDEX.md with correct paths and modern structure - Archive obsolete files: - 01_PROTOCOLS.md -> archive/historical/01_PROTOCOLS_legacy.md - 03_GETTING_STARTED.md -> archive/historical/ - ATOMIZER_PODCAST_BRIEFING.md -> archive/marketing/ - Update timestamps to 2026-01-20 across all key files - Update .gitignore to exclude docs/generated/ - Version bump: ATOMIZER_CONTEXT v1.8 -> v2.0
105 lines
5.1 KiB
Markdown
105 lines
5.1 KiB
Markdown
# Atomizer Dashboard: Gap Analysis & Future Work Plan
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**Date**: November 22, 2025
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**Status**: Phase 1-5 Frontend Implementation Complete (Mock/Placeholder Data)
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## Executive Summary
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The Atomizer Dashboard frontend has been successfully architected and implemented using a modern React stack (Vite, TypeScript, Tailwind, Recharts, Three.js). The UI structure, navigation, and key components for all major phases (Configuration, Monitoring, Analysis, Reporting) are in place.
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However, **significant backend integration and data pipeline work remains** to make these features fully functional with real engineering data. Currently, many components rely on placeholder data or simulated API responses.
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---
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## 1. Backend Integration Gaps
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### 1.1 Study Configuration (Critical)
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- **Current State**: Frontend sends a JSON payload to `POST /api/optimization/studies`.
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- **Missing**:
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- Backend logic to parse this payload and initialize the actual optimization engine.
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- File upload handling for `.prt`, `.sim`, `.fem` files (currently UI only).
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- Validation logic to ensure the requested design variables exist in the NX model.
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- **Action Item**: Implement `StudyService.create_study()` in backend to handle file uploads and initialize `OptimizationRunner`.
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### 1.2 Real-Time Data Streaming
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- **Current State**: WebSocket connection is established; frontend listens for `trial_completed` events.
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- **Missing**:
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- Backend broadcaster for `pareto_front` updates (needed for advanced plots).
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- Backend broadcaster for `optimizer_state` (needed for "Optimizer Thinking" visualization).
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- **Action Item**: Update `optimization_stream.py` to watch for and broadcast multi-objective data and internal optimizer state changes.
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### 1.3 Report Generation
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- **Current State**: Frontend has a drag-and-drop builder; "Regenerate" button simulates a delay.
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- **Missing**:
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- Backend endpoint `POST /api/reports/generate` to accept the report structure.
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- Logic to compile the report into PDF/HTML using a library like `WeasyPrint` or `Pandoc`.
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- Integration with LLM to generate the "Executive Summary" text based on actual results.
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- **Action Item**: Build the report generation service in the backend.
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---
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## 2. Advanced Visualization Gaps
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### 2.1 Parallel Coordinates Plot
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- **Current State**: Placeholder component displayed.
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- **Missing**:
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- D3.js implementation for the actual plot (Recharts is insufficient for this specific visualization).
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- Data normalization logic (scaling all variables to 0-1 range for display).
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- Interactive brushing (filtering lines by dragging axes).
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- **Action Item**: Implement a custom D3.js Parallel Coordinates component wrapped in React.
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### 2.2 3D Mesh Viewer
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- **Current State**: Renders a rotating placeholder cube.
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- **Missing**:
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- **Data Pipeline**: Conversion of Nastran `.op2` or `.bdf` files to web-friendly formats (`.gltf` or `.obj`).
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- **Backend Endpoint**: API to serve the converted mesh files.
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- **Result Mapping**: Logic to parse nodal results (displacement/stress) and map them to vertex colors in Three.js.
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- **Action Item**: Create a backend utility (using `pyNastran` + `trimesh`) to convert FEA models to GLTF and extract result fields as textures/attributes.
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---
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## 3. Intelligent Features Gaps
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### 3.1 LLM Integration
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- **Current State**: Not implemented in frontend.
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- **Missing**:
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- Chat interface for "Talk to your data".
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- Backend integration with Claude/GPT to analyze trial history and provide insights.
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- Automated "Reasoning" display (why the optimizer chose specific parameters).
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- **Action Item**: Add `LLMChat` component and corresponding backend route `POST /api/llm/analyze`.
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### 3.2 Surrogate Model Visualization
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- **Current State**: Not implemented.
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- **Missing**:
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- Visualization of the Gaussian Process / Random Forest response surface.
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- 3D surface plots (for 2 variables) or slice plots (for >2 variables).
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- **Action Item**: Implement a 3D Surface Plot component using `react-plotly.js` or Three.js.
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---
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## 4. Work Plan (Prioritized)
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### Phase 6: Backend Connection (Immediate)
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1. [ ] Implement file upload handling in FastAPI.
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2. [ ] Connect `Configurator` payload to `OptimizationRunner`.
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3. [ ] Ensure `optimization_history.json` updates trigger WebSocket events correctly.
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### Phase 7: 3D Pipeline (High Value)
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1. [ ] Create `op2_to_gltf.py` utility using `pyNastran`.
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2. [ ] Create API endpoint to serve generated GLTF files.
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3. [ ] Update `MeshViewer.tsx` to load real models from URL.
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### Phase 8: Advanced Viz (Scientific Rigor)
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1. [ ] Replace Parallel Coordinates placeholder with D3.js implementation.
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2. [ ] Implement "Compare Trials" view (side-by-side table + mesh).
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3. [ ] Add "Optimizer State" visualization (acquisition function heatmaps).
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### Phase 9: Reporting & LLM (Productivity)
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1. [ ] Implement backend report generation (PDF export).
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2. [ ] Connect LLM API for automated result summarization.
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---
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## Conclusion
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The frontend is "demo-ready" and structurally complete. The next sprint must focus entirely on **backend engineering** to feed real, dynamic data into these polished UI components. The 3D viewer specifically requires a dedicated data conversion pipeline to bridge the gap between Nastran and the Web. |