Anto01
e3bdb08a22
- 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>
60 lines
2.8 KiB
Markdown
60 lines
2.8 KiB
Markdown
# Backend Integration Plan
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## Objective
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Implement the backend logic required to support the advanced dashboard features, including study creation, real-time data streaming, 3D mesh conversion, and report generation.
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## 1. Enhanced WebSocket Real-Time Streaming
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**File**: `atomizer-dashboard/backend/api/websocket/optimization_stream.py`
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### Tasks
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- [ ] Update `OptimizationFileHandler` to watch for `pareto_front` updates.
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- [ ] Update `OptimizationFileHandler` to watch for `optimizer_state` updates.
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- [ ] Implement broadcasting logic for new event types: `pareto_front`, `optimizer_state`.
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## 2. Study Creation API
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**File**: `atomizer-dashboard/backend/api/routes/optimization.py`
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### Tasks
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- [ ] Implement `POST /api/optimization/studies` endpoint.
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- [ ] Add logic to handle multipart/form-data (config + files).
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- [ ] Create study directory structure (`1_setup`, `2_results`, etc.).
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- [ ] Save uploaded files (`.prt`, `.sim`, `.fem`) to `1_setup/model/`.
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- [ ] Save configuration to `1_setup/optimization_config.json`.
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## 3. 3D Mesh Visualization API
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**File**: `atomizer-dashboard/backend/api/routes/optimization.py` & `optimization_engine/mesh_converter.py`
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### Tasks
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- [ ] Create `optimization_engine/mesh_converter.py` utility.
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- [ ] Implement `convert_to_gltf(bdf_path, op2_path, output_path)` function.
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- [ ] Use `pyNastran` to read BDF/OP2.
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- [ ] Use `trimesh` (or custom logic) to export GLTF.
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- [ ] Implement `POST /api/optimization/studies/{study_id}/convert-mesh` endpoint.
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- [ ] Implement `GET /api/optimization/studies/{study_id}/mesh/{filename}` endpoint.
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## 4. Report Generation API
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**File**: `atomizer-dashboard/backend/api/routes/optimization.py` & `optimization_engine/report_generator.py`
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### Tasks
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- [ ] Create `optimization_engine/report_generator.py` utility.
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- [ ] Implement `generate_report(study_id, format, include_llm)` function.
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- [ ] Use `markdown` and `weasyprint` (optional) for rendering.
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- [ ] Implement `POST /api/optimization/studies/{study_id}/generate-report` endpoint.
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- [ ] Implement `GET /api/optimization/studies/{study_id}/reports/{filename}` endpoint.
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## 5. Dependencies
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**File**: `atomizer-dashboard/backend/requirements.txt`
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### Tasks
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- [ ] Add `python-multipart` (for file uploads).
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- [ ] Add `pyNastran` (for mesh conversion).
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- [ ] Add `trimesh` (optional, for GLTF export).
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- [ ] Add `markdown` (for report generation).
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- [ ] Add `weasyprint` (optional, for PDF generation).
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## Execution Order
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1. **Dependencies**: Update `requirements.txt` and install packages.
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2. **Study Creation**: Implement the POST endpoint to enable the Configurator.
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3. **WebSocket**: Enhance the stream to support advanced visualizations.
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4. **3D Pipeline**: Build the mesh converter and API endpoints.
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5. **Reporting**: Build the report generator and API endpoints. |