# ai-dirgram

**Repository Path**: yyyan126/ai-dirgram

## Basic Information

- **Project Name**: ai-dirgram
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-01-04
- **Last Updated**: 2026-01-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AI Diagram Platform

An AI-powered diagram creation platform that allows users to generate professional diagrams through natural language descriptions.

## Features

- 🤖 AI-powered diagram generation
- 🎨 Multiple drawing engines (Draw.io, Mermaid, Excalidraw)
- 📝 Project management and version control
- 💬 Chat interface with multimodal support
- 📱 Responsive design for mobile and desktop
- 🔐 Secure authentication and authorization

## Tech Stack

### Frontend
- Vue 3 + TypeScript
- Vite
- Element Plus
- Pinia (State Management)
- Axios

### Backend
- FastAPI
- Tortoise-ORM
- MySQL 8.0+
- Redis 6.0+
- Python 3.10+

## Project Structure

```
.
├── backend/          # FastAPI backend
│   ├── app/
│   │   ├── api/     # API endpoints
│   │   ├── core/    # Core configuration
│   │   ├── models/  # Database models
│   │   └── services/# Business logic
│   ├── main.py      # Application entry point
│   └── requirements.txt
│
└── frontend/        # Vue 3 frontend
    ├── src/
    │   ├── views/   # Page components
    │   ├── stores/  # Pinia stores
    │   ├── services/# API services
    │   └── router/  # Vue Router
    └── package.json
```

## Getting Started

### Prerequisites

- Python 3.10+
- Node.js 18+
- MySQL 8.0+
- Redis 6.0+

### Backend Setup

1. Navigate to the backend directory:
```bash
cd backend
```

2. Create a virtual environment:
```bash
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
```

3. Install dependencies:
```bash
pip install -r requirements.txt
```

4. Copy `.env.example` to `.env` and configure your environment variables:
```bash
cp .env.example .env
```

5. Initialize the database:
```bash
aerich init -t app.core.database.TORTOISE_ORM
aerich init-db
```

6. Run the development server:
```bash
uvicorn main:app --reload --host 0.0.0.0 --port 8000
```

### Frontend Setup

1. Navigate to the frontend directory:
```bash
cd frontend
```

2. Install dependencies:
```bash
npm install
```

3. Copy `.env.example` to `.env`:
```bash
cp .env.example .env
```

4. Run the development server:
```bash
npm run dev
```

The frontend will be available at `http://localhost:5173`

## Development

### Backend API Documentation

Once the backend is running, visit:
- Swagger UI: `http://localhost:8000/docs`
- ReDoc: `http://localhost:8000/redoc`

### Database Migrations

Create a new migration:
```bash
aerich migrate --name <migration_name>
```

Apply migrations:
```bash
aerich upgrade
```

## License

MIT