stock-bot/SETUP-COMPLETE.md

🚀 Trading Bot Docker Infrastructure Setup Complete!

Your Docker infrastructure has been successfully configured. Here's what you have:

📦 What's Included

Core Services

• 🐉 Dragonfly: Redis-compatible cache and event streaming (Port 6379)
• 🐘 PostgreSQL: Operational database with complete trading schema (Port 5432)
• 📊 QuestDB: Time-series database for market data (Ports 9000, 8812, 9009)
• 🍃 MongoDB: Document storage for sentiment analysis and raw documents (Port 27017)

Admin Tools

• 🔧 Redis Insight: Dragonfly management GUI (Port 8001)
• 🛠️ PgAdmin: PostgreSQL administration (Port 8080)
• 🍃 Mongo Express: MongoDB document browser (Port 8081)

Monitoring (Optional)

• 📈 Prometheus: Metrics collection (Port 9090)
• 📊 Grafana: Dashboards and alerting (Port 3000)

🏁 Getting Started

Step 1: Start Docker Desktop

Make sure Docker Desktop is running on your Windows machine.

Step 2: Start Infrastructure

# Quick start - core services only
npm run infra:up

# Or with management script
npm run docker:start

# Full development environment
npm run dev:full

Step 3: Access Admin Interfaces

# Start admin tools
npm run docker:admin

🔗 Access URLs

Once running, access these services:

Service	URL	Login
QuestDB Console	http://localhost:9000	No login required
Redis Insight	http://localhost:8001	No login required
Bull Board	http://localhost:3001	No login required
PgAdmin	http://localhost:8080	admin@tradingbot.local / admin123
Mongo Express	http://localhost:8081	admin / admin123
Prometheus	http://localhost:9090	No login required
Grafana	http://localhost:3000	admin / admin123
Bull Board	http://localhost:3001	No login required

📊 Database Connections

From Your Trading Services

Update your .env file:

# Dragonfly (Redis replacement)
DRAGONFLY_HOST=localhost
DRAGONFLY_PORT=6379

# PostgreSQL
POSTGRES_HOST=localhost
POSTGRES_PORT=5432
POSTGRES_DB=trading_bot
POSTGRES_USER=trading_user
POSTGRES_PASSWORD=trading_pass_dev

# QuestDB
QUESTDB_HOST=localhost
QUESTDB_PORT=8812
QUESTDB_DB=qdb

# MongoDB
MONGODB_HOST=localhost
MONGODB_PORT=27017
MONGODB_DB=trading_documents
MONGODB_USER=trading_admin
MONGODB_PASSWORD=trading_mongo_dev

Database Schema

PostgreSQL includes these pre-configured schemas:

• trading.* - Orders, positions, executions, accounts
• strategy.* - Strategies, signals, performance metrics
• risk.* - Risk limits, events, monitoring
• audit.* - System events, health checks, configuration

🛠️ Management Commands

# Basic operations
npm run docker:start         # Start core services
npm run docker:stop          # Stop all services
npm run docker:status        # Check service status
npm run docker:logs          # View all logs
npm run docker:reset         # Reset all data (destructive!)

# Additional services  
npm run docker:admin         # Start admin interfaces
npm run docker:monitoring    # Start Prometheus & Grafana

# Development workflows
npm run dev:full             # Infrastructure + admin + your services
npm run dev:clean            # Reset + restart everything

# Direct PowerShell script access
./scripts/docker.ps1 start
./scripts/docker.ps1 logs -Service dragonfly
./scripts/docker.ps1 help

✅ Next Steps

1. Start Docker Desktop if not already running
2. Run: npm run docker:start to start core infrastructure
3. Run: npm run docker:admin to start admin tools
4. Update your environment variables to use the Docker services
5. Test Dragonfly connection in your EventPublisher service
6. Verify database schema in PgAdmin
7. Start your trading services with the new infrastructure

🎯 Ready for Integration

Your EventPublisher service is already configured to use Dragonfly. The infrastructure supports:

• ✅ Event Streaming: Dragonfly handles Redis Streams for real-time events
• ✅ Caching: High-performance caching with better memory efficiency
• ✅ Operational Data: PostgreSQL with complete trading schemas
• ✅ Time-Series Data: QuestDB for market data and analytics
• ✅ Monitoring: Full observability stack ready
• ✅ Admin Tools: Web-based management interfaces

The system is designed to scale from development to production with the same Docker configuration.

🔧 Troubleshooting

If you encounter issues:

# Check Docker status
docker --version
docker-compose --version

# Verify services
npm run docker:status

# View specific service logs
./scripts/docker.ps1 logs -Service dragonfly

# Reset if needed
npm run docker:reset

Happy Trading! 🚀📈