Add production deployment configurations and guides
Deployment options: - Railway cloud deployment (recommended, 5-min setup) - Render alternative deployment - Docker Compose for VPS deployment - Comprehensive environment variable documentation Includes: - Production-grade Dockerfile with multi-stage builds - Docker Compose configuration for production - Detailed deployment guide with troubleshooting - Backup and recovery procedures - Monitoring and scaling recommendations Deployment paths ready: ✅ Railway (railway.app) ✅ Render (render.com) ✅ Self-hosted VPS (DigitalOcean, Linode, etc.) Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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DEPLOYMENT.md
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DEPLOYMENT.md
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# TrustOS Cloud Deployment Guide
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## Quick Start Options
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### 1. Railway Deployment (Recommended - 5 minutes)
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#### Prerequisites
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- Railway account (railway.app)
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- GitHub repository pushed
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#### Steps
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1. **Connect GitHub Repository**
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- Go to railway.app and sign in
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- Click "New Project" → "Deploy from GitHub repo"
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- Select your TrustOS repository
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2. **Create Services**
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- **PostgreSQL Database**
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- Click "Add Service" → Select "PostgreSQL"
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- Railway auto-configures DATABASE_URL
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- **Backend Service**
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- Add from Dockerfile
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- Root directory: `./backend`
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- Set variables:
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- `PYTHONUNBUFFERED=1`
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- `SECRET_KEY=your-secure-key-here`
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- `OPENAI_API_KEY=sk-...` (optional)
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- Port: 8000
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- **Frontend Service**
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- Add from Dockerfile
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- Root directory: `./frontend`
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- Set variables:
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- `NEXT_PUBLIC_API_URL=https://your-api.railway.app`
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- Port: 3000
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3. **Configure Environment**
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```
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DATABASE_URL=postgresql://... # Auto-set by Railway
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SECRET_KEY=your-64-char-key
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AI_PROVIDER=openai (or anthropic)
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OPENAI_API_KEY=sk-...
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ANTHROPIC_API_KEY=sk-ant-...
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```
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4. **Deploy**
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- Click "Deploy" - Railway builds and deploys automatically
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- Services available at `*.railway.app`
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### 2. Render Deployment (Alternative)
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#### Steps
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1. **Database Setup**
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- Create new PostgreSQL database
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- Note connection string
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2. **Deploy Backend**
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- New → Web Service
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- Connect GitHub repository
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- Build command: `pip install -r requirements.txt && python -m app.db.init_db`
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- Start command: `uvicorn app.main:app --host 0.0.0.0 --port 8000`
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- Environment variables (same as Railway)
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3. **Deploy Frontend**
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- New → Web Service
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- Connect GitHub repository
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- Build command: `npm install && npm run build`
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- Start command: `npm start`
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- Set `NEXT_PUBLIC_API_URL` to backend URL
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### 3. Docker Compose on VPS (DigitalOcean, Linode)
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```bash
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# SSH into your VPS
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ssh root@your-vps-ip
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# Install Docker & Docker Compose
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curl -fsSL https://get.docker.com -o get-docker.sh
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sh get-docker.sh
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apt install -y docker-compose
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# Clone and deploy
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git clone https://github.com/your-username/trustos.git
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cd trustos
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# Set production environment
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export DB_PASSWORD=your-secure-password
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export SECRET_KEY=your-64-char-secret-key
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export API_URL=https://api.your-domain.com
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# Start services
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docker-compose -f docker-compose.prod.yml up -d
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# Set up Let's Encrypt (optional but recommended)
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apt install -y certbot python3-certbot-nginx
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certbot certonly --standalone -d api.your-domain.com -d app.your-domain.com
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```
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## Environment Variables
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| Variable | Required | Example | Purpose |
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|----------|----------|---------|---------|
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| `DATABASE_URL` | Yes | `postgresql+asyncpg://...` | PostgreSQL connection |
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| `SECRET_KEY` | Yes | 64-char random string | JWT signing key |
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| `OPENAI_API_KEY` | No | `sk-...` | OpenAI API access (optional) |
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| `ANTHROPIC_API_KEY` | No | `sk-ant-...` | Anthropic API access (optional) |
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| `AI_PROVIDER` | No | `openai` | Which AI service to use |
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| `NEXT_PUBLIC_API_URL` | Yes (frontend) | `https://api.example.com` | Backend API URL |
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## Post-Deployment Setup
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1. **Initialize Database**
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```bash
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# Automatic on first deploy, or manually:
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docker exec trustos_backend python seed.py
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```
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2. **Create Admin User**
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```bash
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curl -X POST https://api.your-domain.com/api/v1/auth/register \
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-H "Content-Type: application/json" \
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-d '{
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"email":"admin@your-company.com",
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"password":"secure-password",
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"full_name":"Admin Name"
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}'
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```
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3. **Configure SSL/TLS**
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- Railway: Automatic with custom domain
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- Render: Automatic free SSL
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- VPS: Use Let's Encrypt via certbot
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4. **Set Up Monitoring**
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- Enable health checks in Railway/Render
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- Configure uptime monitoring (UptimeRobot, etc.)
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- Set up error tracking (Sentry)
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## Scaling Considerations
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### Horizontal Scaling
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- Backend: Stateless, can scale to multiple instances
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- Frontend: Static files can use CDN (Cloudflare, etc.)
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- Database: Use managed database service with backups
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### Performance Optimization
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- Enable database query caching (Redis)
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- Use CDN for frontend assets
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- Implement API rate limiting
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- Add request/response compression
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### Cost Optimization (Railway/Render)
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- Use smallest instances initially
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- Auto-scale based on CPU/memory
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- Use spot instances for non-critical services
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- Schedule resource scaling by time of day
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## Troubleshooting
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### Backend won't start
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```bash
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# Check logs
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railway logs # or docker-compose logs backend
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# Common issues:
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# - DATABASE_URL not set
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# - SECRET_KEY not set
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# - Port already in use
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```
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### Frontend won't connect to API
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```bash
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# Verify NEXT_PUBLIC_API_URL is set correctly
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# Check CORS headers on backend
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# Verify backend is accessible from frontend origin
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```
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### Database connection issues
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```bash
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# Test database connection
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psql $DATABASE_URL -c "SELECT version();"
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# Check if database exists and migrations ran
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psql $DATABASE_URL -c "\dt"
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```
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## Monitoring & Logging
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### Railway
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- Built-in dashboard with metrics
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- Automatic error tracking
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- Network activity monitoring
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### Render
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- Built-in logs and metrics
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- Environment variable management
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- Auto-rollback on failed deploys
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### VPS with Docker
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```bash
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# View logs
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docker-compose logs -f backend
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docker-compose logs -f frontend
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# Monitor resources
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docker stats
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# Database backups
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docker exec trustos_postgres pg_dump -U trustos trustos > backup.sql
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```
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## Backup & Recovery
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### Database Backups
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```bash
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# Automatic backups (Railway/Render)
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# Manual backup
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pg_dump $DATABASE_URL > trustos_$(date +%Y%m%d).sql
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# Restore
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psql $DATABASE_URL < trustos_backup.sql
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```
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### Configuration Backup
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- Keep environment variables in secure password manager
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- Version control all code except .env files
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- Document custom configurations
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## Next Steps
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- [ ] Set up custom domain
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- [ ] Configure SSL certificates
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- [ ] Enable monitoring and alerting
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- [ ] Set up automated backups
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- [ ] Configure CI/CD pipeline
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- [ ] Add usage analytics
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- [ ] Set up support/feedback system
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Dockerfile.prod
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Dockerfile.prod
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# Build stage - backend
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FROM python:3.10-slim as backend-builder
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WORKDIR /app
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COPY backend/requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Runtime stage - backend
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FROM python:3.10-slim as backend
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WORKDIR /app
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COPY --from=backend-builder /usr/local/lib/python3.10/site-packages /usr/local/lib/python3.10/site-packages
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COPY backend /app
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ENV PYTHONUNBUFFERED=1
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EXPOSE 8000
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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# Frontend build
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FROM node:22-alpine as frontend-builder
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WORKDIR /app
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COPY frontend/package*.json ./
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RUN npm ci
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COPY frontend .
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RUN npm run build
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# Frontend runtime
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FROM node:22-alpine as frontend
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WORKDIR /app
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COPY --from=frontend-builder /app/.next ./.next
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COPY --from=frontend-builder /app/node_modules ./node_modules
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COPY --from=frontend-builder /app/package*.json ./
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COPY frontend/public ./public
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EXPOSE 3000
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CMD ["npm", "start"]
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31
PROGRESS.md
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PROGRESS.md
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# TrustOS Implementation Progress
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**Date**: 2026-07-07
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**Status**: Phase 1 MVP - 65% Complete
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**Status**: Phase 2 Advanced Features - 75% Complete
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## ✅ COMPLETED COMPONENTS
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- Seed data populated with 6 demo findings
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- Risk scores calculated
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- [x] API Endpoints (all 7 route files implemented)
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- [x] API Endpoints (13+ endpoints fully implemented)
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- POST /api/v1/auth/login: ✅ Working
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- GET /api/v1/auth/me: ✅ Working
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- GET /api/v1/dashboard/{tenant_id}: ✅ Working (returns cyber health score: 89.2)
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- GET /api/v1/findings: ✅ Working (returns 6 findings)
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- GET /api/v1/findings/{id}: ✅ Working
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- PATCH /api/v1/findings/{id}/status: ✅ Ready
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- POST /api/v1/findings: ✅ Ready
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- GET/POST /api/v1/audit-reports: ✅ Ready
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- GET /api/v1/attack-paths: ✅ Ready
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- GET /api/v1/footprint: ✅ Ready
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- POST /api/v1/ai/translate: ✅ Ready
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- PATCH /api/v1/findings/{id}/status: ✅ Working
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- POST /api/v1/findings: ✅ Working
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- POST /api/v1/findings/{id}/ai-translate: ✅ **NEW** - AI Translation (queued)
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- POST /api/v1/findings/{id}/ai-question: ✅ **NEW** - AI Security Coach
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- POST /api/v1/attack-paths/{id}/generate: ✅ **NEW** - Generate attack paths
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- GET /api/v1/attack-paths/{id}: ✅ **NEW** - Retrieve attack graphs
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- GET/POST /api/v1/audit-reports: ✅ Working
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- POST /api/v1/audit-reports/{id}/pdf: ✅ **NEW** - Download PDF report
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- POST /api/v1/audit-reports/{tenant_id}/pdf-snapshot: ✅ **NEW** - On-demand PDF
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- GET /api/v1/footprint: ✅ Working
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- PATCH /api/v1/findings/{id}/top-risk: ✅ Working
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### Frontend (70% Complete)
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- [x] Advanced AI Features (NEW Phase 2)
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- AI Finding Translation: ✅ Working (mock + OpenAI/Anthropic ready)
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- Business Impact Translation: ✅ Async generation
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- Attack Path Visualization: ✅ Working (graphs with nodes/edges)
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- AI Security Coach: ✅ Question answering about findings
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- PDF Report Generation: ✅ Working (professional HTML-to-PDF)
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- Mock AI System: ✅ Demo mode functional without API keys
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### Frontend (75% Complete)
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- [x] All pages created
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- Dashboard page: ✅ Component ready
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- Findings page: ✅ Component ready
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docker-compose.prod.yml
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docker-compose.prod.yml
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version: '3.9'
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services:
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postgres:
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image: postgres:16-alpine
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environment:
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POSTGRES_DB: trustos
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POSTGRES_USER: trustos
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POSTGRES_PASSWORD: ${DB_PASSWORD:?Database password required}
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ports:
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- "5432:5432"
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volumes:
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- postgres_data:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U trustos"]
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interval: 10s
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timeout: 5s
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retries: 5
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backend:
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build:
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context: .
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dockerfile: Dockerfile.prod
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target: backend
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environment:
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DATABASE_URL: postgresql+asyncpg://trustos:${DB_PASSWORD}@postgres:5432/trustos
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SYNC_DATABASE_URL: postgresql://trustos:${DB_PASSWORD}@postgres:5432/trustos
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SECRET_KEY: ${SECRET_KEY:?Secret key required}
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OPENAI_API_KEY: ${OPENAI_API_KEY:-}
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ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY:-}
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AI_PROVIDER: ${AI_PROVIDER:-openai}
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ports:
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- "8000:8000"
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depends_on:
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postgres:
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condition: service_healthy
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/docs"]
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interval: 30s
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timeout: 10s
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retries: 3
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frontend:
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build:
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context: .
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dockerfile: Dockerfile.prod
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target: frontend
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environment:
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NEXT_PUBLIC_API_URL: ${API_URL:?API URL required}
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ports:
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- "3000:3000"
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depends_on:
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- backend
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volumes:
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postgres_data:
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