🌐 Visit AI Summary Yearly - Generate your personalized annual digital footprint summary with AI

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AI Summary Yearly is an innovative platform that generates personalized annual summaries of your digital footprint using AI. Currently supporting GitHub data analysis, with Twitter and Jike integration coming soon.

• GitHub Integration 🔄

  • ✓ Repository and contribution analysis
  • ✓ Code activity heatmaps
  • ✓ Language usage statistics
  • ✓ Personalized AI summaries using OpenAI
  • ✓ Custom avatar generation

• AI-Powered Features 🤖

  • ✓ OpenAI-driven content generation
  • ✓ Multiple summary styles:
    • 😈 Sarcastic mode
    • 🔥 Best Diss mode
    • 📚 Classical mode
    • 🌟 Praise mode
  • ✓ AI avatar generation with personality traits
  • ✓ Activity heatmaps and statistics

• Interactive UI 🎨

  • ✓ Real-time progress tracking
  • ✓ Shareable results
  • ✓ Downloadable summaries
  • ✓ Internationalization support:
    • 🇺🇸 English (en)
    • 🇨🇳 Chinese (zh)
    • 🌐 Auto-language detection
    • 🔄 Dynamic content translation
    • 🌍 i18n with next-i18next

• Twitter Integration 🐦

  • ⏳ Social activity analysis
  • ⏳ Engagement metrics
  • ⏳ Content highlights

• Jike Integration 📱

  • ⏳ Post analysis
  • ⏳ Interaction patterns
  • ⏳ Community engagement metrics

• Frontend 🎨

  • Next.js 13
  • React 18
  • TailwindCSS
  • Framer Motion
  • TypeScript

• Backend

  • Next.js API Routes
  • Prisma ORM
  • Neon Database (PostgreSQL)
  • Cloudflare Workers

• Authentication

  • Clerk
  • Next-Auth

• AI/ML

  • OpenRouter API (OpenAI compatible)
  • Cloudflare AI

• Storage

  • Cloudflare R2
  • Supabase

// Key data models for task processing and user management
Task {
  id          String
  status      String
  style       String
  username    String
  data        Json
  content     String?
  imageUrl    String?
  shareUrl    String?
  userId      String?
  createdAt   DateTime
  updatedAt   DateTime
}

User {
  id          String
  credits     Int
  tasks       Task[]
}

interface PlatformData {
  status: 'ok' | 'processing' | 'failed'
  platform: 'github' | 'twitter' | 'jike'
  basicStats: {
    follower: number
    following: number
    contentCnt: number
  }
  heatmapData: {
    dates: string[]
    counts: number[]
    monthlyStats: Array<{...}>
  }
  selectedContent: {
    yearHighlights: Array<{...}>
    mostUsedLanguages: Array<{...}>
    activityPatterns: {...}
  }
}

1. Prerequisites

   node >= 18.0.0
   npm >= 8.0.0

2. Environment Variables

   # Create .env file
   cp .env.example .env
   
   # Required variables
   DATABASE_URL=                    # PostgreSQL connection URL
   CLERK_SECRET_KEY=               # Clerk authentication key
   OPENROUTER_API_KEY=             # OpenRouter API key
   CLOUDFLARE_R2_ACCESS_KEY_ID=    # Cloudflare R2 access key
   CLOUDFLARE_R2_SECRET_KEY=       # Cloudflare R2 secret
   CLOUDFLARE_R2_BUCKET=           # R2 bucket name
   CLOUDFLARE_ACCOUNT_ID=          # Cloudflare account ID

3. Database Setup

   # Create database schema
   npx prisma db push
   
   # Generate Prisma client
   npm run prisma:generate
   
   # Initialize database (first time)
   npm run prisma:init-migration
   
   # Create new migration (when schema changes)
   npm run prisma:update "migration_name"
   
   # View database in Prisma Studio
   npm run prisma:studio

4. Installation

   # Install dependencies
   npm install
   
   # Install development dependencies
   npm install -D @types/node @types/react typescript

5. Development

   # Start development server
   npm run dev

6. Production

   # Build application
   npm run build

7. Scripts

   # Available npm scripts
   "dev": "next dev"                    # Start development server  
   "build": "next build"                # Build for production
   "start": "next start"                # Start production server
   "lint": "next lint"                  # Run linter
   "test": "vitest"                     # Run tests
   "prisma:generate": "prisma generate"
   "prisma:update": "npx prisma migrate dev --name"
   "prisma:studio": "prisma studio"

The system uses Cronicle for scheduled task management:

1. Task Processing
   • Schedule: Every 1 minute
   • APIs:
     • /api/tasks/process: Process tasks in the task queue
       • Method: POST
       • Headers: Content-Type: application/json
       • Headers: Authorization: Bearer {API_TOKEN}
     • /api/avatar/process: Process tasks in the avatar queue
       • Method: POST
       • Headers: Content-Type: application/json
       • Headers: Authorization: Bearer {API_TOKEN}
   • Function: Process pending tasks in the queue
   • Category: Data Processing

1. Installation

   # Install Cronicle
   docker run -d --name cron \
        --hostname manager1 \
        -p 3012:3012 --restart always  \
        -v ./data:/opt/cronicle/data  \
        -e CRONICLE_secret_key={API_TOKEN}  \
        cronicle/edge:latest manager

2. Configuration

   • Access the web interface at http://localhost:3012
   • Default credentials: admin/admin
   • Add the task plugins from the schedule/ directory
   • Configure schedules in the Cronicle dashboard

3. Monitoring

   • View task logs in Cronicle dashboard
   • Monitor task execution history
   • Set up email notifications for task failures

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.