SETUP_STATUS.md

AudioForge Setup Status

Completed Tasks

1. Fixed Windows Console Encoding Issues

• Updated all Python scripts to handle Windows console encoding properly
• Fixed quick_setup.py, verify_setup.py, and init_db.py to work on Windows

2. Fixed Python Package Configuration

• Updated pyproject.toml to support Python 3.13
• Removed incompatible dependencies (torch 2.1.0, audiocraft 1.3.0)
• Created optional [ml] dependency group for ML models
• Added hatchling build configuration to specify package location

3. Backend Dependencies Installed

• Created virtual environment at backend/.venv
• Installed all core dependencies successfully
• Created .env file from .env.example
• Created storage directories

4. Project Structure Verified

• Backend: FastAPI application with proper structure
• Frontend: Next.js 14 application with TypeScript
• Docker Compose configuration ready
• All documentation files in place

Current Status

Backend: Dependencies installed, ready to run (requires PostgreSQL and Redis) Frontend: Not yet installed Database: Not yet initialized Docker: Installed but Docker Desktop not running

Next Steps

Option 1: Docker Compose (Recommended)

1. Start Docker Desktop

   # Start Docker Desktop application manually
   

2. Start all services with Docker Compose

   docker-compose up -d
   

3. Verify services are running

   docker-compose ps
   docker-compose logs -f
   

4. Access the application

   • Frontend: http://localhost:3000
   • Backend API: http://localhost:8000
   • API Docs: http://localhost:8000/api/docs

Option 2: Manual Setup (Local Development)

Step 1: Start PostgreSQL and Redis

Option A: Using Docker

# Start only PostgreSQL and Redis
docker run -d --name audioforge-postgres -e POSTGRES_PASSWORD=postgres -e POSTGRES_DB=audioforge -p 5432:5432 postgres:16-alpine
docker run -d --name audioforge-redis -p 6379:6379 redis:7-alpine

Option B: Using Local Installation

• Install PostgreSQL 16 and Redis locally
• Ensure they're running on default ports (5432 and 6379)

Step 2: Initialize Database

cd backend
.venv\Scripts\python.exe scripts\init_db.py

Step 3: Start Backend

cd backend
.venv\Scripts\uvicorn.exe app.main:app --reload

Step 4: Install Frontend Dependencies

cd frontend
pnpm install

Step 5: Create Frontend Environment File

cd frontend
echo "NEXT_PUBLIC_API_URL=http://localhost:8000" > .env.local

Step 6: Start Frontend

cd frontend
pnpm dev

Verification

Backend Health Check

curl http://localhost:8000/health

Backend API Documentation

Open http://localhost:8000/api/docs in your browser

Frontend

Open http://localhost:3000 in your browser

Installing ML Models (Optional)

The ML models (torch, audiocraft) are optional and can be installed later:

cd backend
.venv\Scripts\uv.exe pip install -e ".[ml]"

Note: This will download ~2GB of model files on first run.

Troubleshooting

Backend won't start

• Ensure PostgreSQL is running on port 5432
• Ensure Redis is running on port 6379
• Check .env file has correct DATABASE_URL and REDIS_URL

Frontend won't start

• Ensure pnpm is installed: npm install -g pnpm
• Delete node_modules and pnpm-lock.yaml, then run pnpm install again

Database connection error

• Verify PostgreSQL is running: docker ps or check local service
• Test connection: psql -h localhost -U postgres -d audioforge

Docker issues

• Ensure Docker Desktop is running
• Check Docker daemon status: docker ps
• Restart Docker Desktop if needed

Files Modified

1. backend/pyproject.toml - Updated dependencies and build configuration
2. backend/scripts/quick_setup.py - Fixed Windows encoding
3. backend/scripts/verify_setup.py - Fixed Windows encoding
4. backend/scripts/init_db.py - Fixed Windows encoding

Environment Configuration

Backend .env (already created)

# Application
DEBUG=false
ENVIRONMENT=development

# Database
DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:5432/audioforge

# Redis
REDIS_URL=redis://localhost:6379/0

# Music Generation
MUSICGEN_MODEL=facebook/musicgen-medium
MUSICGEN_DEVICE=cpu
MUSICGEN_DURATION=30

# Vocal Generation
BARK_MODEL=suno/bark
BARK_DEVICE=cpu

# Storage
AUDIO_STORAGE_PATH=./storage/audio

Frontend .env.local (needs to be created)

NEXT_PUBLIC_API_URL=http://localhost:8000

Recommended Next Action

For quickest setup: Start Docker Desktop, then run docker-compose up -d

This will start all services (PostgreSQL, Redis, Backend, Frontend) in containers and handle all initialization automatically.