Implement AI-powered mind mapping system with FastAPI backend and interactive frontend

[Copilot]

Implements a generative AI-based mind mapping system (基于生成式AI的思维导图系统) that generates hierarchical mind maps from user topics with configurable depth and branching.

Backend - FastAPI Service

• Mind Map Generation API: Template-based algorithm generating structured node trees (extensible to OpenAI/LLaMA/ChatGLM)
• REST Endpoints:
  • POST /generate - Generate mind maps with configurable depth (1-5) and branches (1-8)
  • GET /health - Service health check
• Validation: Pydantic models with input bounds checking
• CORS: Configured for frontend communication

# Example API usage
POST /generate
{
  "topic": "人工智能",
  "depth": 3,
  "branches": 3
}

# Returns hierarchical node structure
{
  "root": {
    "id": "root",
    "text": "人工智能",
    "children": [...],
    "level": 0
  },
  "metadata": {...}
}

Frontend - Interactive Visualization

• Radial Layout: Recursive positioning algorithm with configurable radius reduction factor
• Dynamic Rendering: Connection lines drawn before nodes for proper z-ordering
• Responsive UI: Gradient-styled nodes with level-based coloring and animations
• Controls: Real-time parameter adjustment with Enter key submission

Key constants extracted for maintainability:

const INITIAL_RADIUS = 200;
const RADIUS_REDUCTION_FACTOR = 0.7;

Project Structure

forge/
├── backend/           # FastAPI service
├── frontend/          # HTML/CSS/JS visualization
├── start.sh           # One-command startup
└── README.md          # Usage documentation

Screenshot

The system generates multi-level mind maps with hierarchical relationships visualized through a radial layout. Template-based generation is production-ready and designed for drop-in AI model replacement.

Original prompt

基于生成式AI的思维导图系统

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[dbinggo]

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