Files
Atomizer/docs/archive/plans/backend_integration_plan.md
Anto01 ea437d360e docs: Major documentation overhaul - restructure folders, update tagline, add Getting Started guide
- 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
2026-01-20 10:03:45 -05:00

2.8 KiB

Backend Integration Plan

Objective

Implement the backend logic required to support the advanced dashboard features, including study creation, real-time data streaming, 3D mesh conversion, and report generation.

1. Enhanced WebSocket Real-Time Streaming

File: atomizer-dashboard/backend/api/websocket/optimization_stream.py

Tasks

  • Update OptimizationFileHandler to watch for pareto_front updates.
  • Update OptimizationFileHandler to watch for optimizer_state updates.
  • Implement broadcasting logic for new event types: pareto_front, optimizer_state.

2. Study Creation API

File: atomizer-dashboard/backend/api/routes/optimization.py

Tasks

  • Implement POST /api/optimization/studies endpoint.
  • Add logic to handle multipart/form-data (config + files).
  • Create study directory structure (1_setup, 2_results, etc.).
  • Save uploaded files (.prt, .sim, .fem) to 1_setup/model/.
  • Save configuration to 1_setup/optimization_config.json.

3. 3D Mesh Visualization API

File: atomizer-dashboard/backend/api/routes/optimization.py & optimization_engine/mesh_converter.py

Tasks

  • Create optimization_engine/mesh_converter.py utility.
    • Implement convert_to_gltf(bdf_path, op2_path, output_path) function.
    • Use pyNastran to read BDF/OP2.
    • Use trimesh (or custom logic) to export GLTF.
  • Implement POST /api/optimization/studies/{study_id}/convert-mesh endpoint.
  • Implement GET /api/optimization/studies/{study_id}/mesh/{filename} endpoint.

4. Report Generation API

File: atomizer-dashboard/backend/api/routes/optimization.py & optimization_engine/report_generator.py

Tasks

  • Create optimization_engine/report_generator.py utility.
    • Implement generate_report(study_id, format, include_llm) function.
    • Use markdown and weasyprint (optional) for rendering.
  • Implement POST /api/optimization/studies/{study_id}/generate-report endpoint.
  • Implement GET /api/optimization/studies/{study_id}/reports/{filename} endpoint.

5. Dependencies

File: atomizer-dashboard/backend/requirements.txt

Tasks

  • Add python-multipart (for file uploads).
  • Add pyNastran (for mesh conversion).
  • Add trimesh (optional, for GLTF export).
  • Add markdown (for report generation).
  • Add weasyprint (optional, for PDF generation).

Execution Order

  1. Dependencies: Update requirements.txt and install packages.
  2. Study Creation: Implement the POST endpoint to enable the Configurator.
  3. WebSocket: Enhance the stream to support advanced visualizations.
  4. 3D Pipeline: Build the mesh converter and API endpoints.
  5. Reporting: Build the report generator and API endpoints.