Backend API untuk platform video clipper AI yang memungkinkan users untuk mengubah video panjang menjadi clips pendek yang engaging, mirip seperti OpusClip atau Vizard AI.

• AI Video Analysis - Analisis konten video untuk highlight detection
• Auto Transcription - Speech-to-text dengan AI
• Smart Clipping - Generate clips berdasarkan engagement potential
• Subtitle Generation - Auto-generate subtitle untuk clips
• Multi-format Export - Support berbagai format output
• Turso Database - SQLite-compatible database dengan edge replication
• Authentication - Access tokens untuk API security

• AdonisJS 6 - Modern Node.js framework
• Turso Database - Edge SQLite database
• TypeScript - Full type safety
• AI Integration - Ready for OpenAI, AWS services
• Cloud Storage - S3-compatible storage integration

# Clone atau download project
cd pocat.io

# Install dependencies dengan pnpm
pnpm install

# Setup environment variables
cp .env.example .env
# Edit .env dan tambahkan Turso credentials:
# DATABASE_URL=your_turso_database_url
# DATABASE_AUTH_TOKEN=your_turso_auth_token

# Run migrations ke Turso database
pnpm exec node ace migrate:turso

# Test koneksi Turso
pnpm exec node ace test:turso

# Development mode
pnpm run dev

# Production build
pnpm run build
cd build
pnpm i --prod
node bin/server.js

• GET / - API information dan available endpoints
• GET /test-turso - Test Turso database connection
• POST /create-table - Create test table

• GET /users - Get all users
• POST /users - Create new user
• GET /users/:id - Get user by ID
• PUT /users/:id - Update user
• DELETE /users/:id - Delete user

curl -X POST http://localhost:3333/users \
  -H "Content-Type: application/json" \
  -d '{
    "name": "John Doe",
    "email": "john@example.com",
    "password": "password123"
  }'

curl http://localhost:3333/users

curl http://localhost:3333/users/1

curl -X PUT http://localhost:3333/users/1 \
  -H "Content-Type: application/json" \
  -d '{
    "name": "John Updated",
    "email": "john.updated@example.com"
  }'

curl -X DELETE http://localhost:3333/users/1

hello-world/
├── app/
│   ├── controllers/
│   │   ├── tests_controller.ts      # Test endpoints
│   │   └── users_controller.ts      # Users CRUD API
│   └── services/
│       └── turso_service.ts         # Turso database service
├── commands/
│   ├── migrate_turso.ts             # Turso migration command
│   └── test_turso.ts                # Turso connection test
├── config/
│   └── database.ts                  # Database configuration
├── start/
│   └── routes.ts                    # API routes definition
└── .env                             # Environment variables

Project ini menggunakan custom service untuk integrasi langsung dengan Turso:

// app/services/turso_service.ts
import { createClient } from '@libsql/client'

class TursoService {
  async execute(sql: string, params?: any[]) {
    return await this.client.execute({
      sql,
      args: params || [],
    })
  }
  
  async batch(statements: Array<{ sql: string; args?: any[] }>) {
    return await this.client.batch(statements)
  }
}

# Test Turso connection
pnpm exec node ace test:turso

# Run Turso migrations
pnpm exec node ace migrate:turso

# Start development server
pnpm run dev

# Build for production
pnpm run build

# Run tests
pnpm run test

# Lint code
pnpm run lint

# Format code
pnpm run format

1. Edge Database - Turso menyediakan SQLite database dengan replikasi global
2. Low Latency - Database edge locations untuk performa optimal
3. Scalable - Auto-scaling berdasarkan usage
4. Cost Effective - Pay per request model
5. Developer Friendly - SQLite syntax yang familiar

# Server Configuration
TZ=UTC
PORT=3333
HOST=localhost
LOG_LEVEL=info
APP_KEY=your_app_key
NODE_ENV=development

# Turso Database
DATABASE_URL=libsql://your-database-url
DATABASE_AUTH_TOKEN=your_auth_token

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

This project is licensed under the MIT License.