🐳 SentinentalBERT Docker Development Environment - Complete Setup

📋 Summary

I've created a comprehensive Docker development environment for the SentinentalBERT project that includes:

✅ Files Created

docker-compose.dev.yml - Main development Docker Compose configuration
Dockerfile.dashboard - Streamlit dashboard container definition
.env.dev - Development environment template
docker-compose.override.yml - Development-specific overrides
start-dev.sh - Automated startup script with full environment management
Makefile - Development workflow commands
monitoring/prometheus.dev.yml - Prometheus configuration for development
README_DOCKER_DEV.md - Comprehensive documentation

🚀 Services Included

Main Application

Streamlit Dashboard (Port 8501) - Main viral content analysis interface
Backend API (Port 8080) - RESTful API with Swagger UI
NLP Service (Port 8000) - Sentiment analysis and text processing

Supporting Services

Evidence Service (Port 8082) - Evidence collection and storage
Ingestion Service (Port 8081) - Social media data ingestion
Viral Detection (Port 8083) - Viral content detection algorithms

Databases & Storage

PostgreSQL (Port 5432) - Main application database
Redis (Port 6379) - Caching and session storage
Elasticsearch (Port 9200) - Search and analytics engine

Development Tools

Adminer (Port 8084) - PostgreSQL database administration
Redis Commander (Port 8085) - Redis management interface
Prometheus (Port 9090) - Metrics collection and monitoring
Grafana (Port 3000) - Monitoring dashboards and visualization

🛠️ Key Features

Development-Friendly

✅ Hot Reload - Streamlit dashboard automatically reloads on code changes
✅ Volume Mounts - Source code mounted for easy editing
✅ Debug Mode - Enhanced logging and debugging capabilities
✅ Port Exposure - All services accessible for development and testing

Production-Ready Architecture

✅ Microservices - Properly separated services with defined APIs
✅ Health Checks - Built-in health monitoring for all services
✅ Resource Limits - Memory and CPU limits configured
✅ Networking - Isolated Docker network for service communication

Comprehensive Monitoring

✅ Prometheus Metrics - Application and system metrics collection
✅ Grafana Dashboards - Pre-configured monitoring dashboards
✅ Centralized Logging - Structured logging across all services
✅ Health Endpoints - Service health monitoring

🚀 Quick Start Commands

# One-command setup and start
./start-dev.sh

# Using Makefile (alternative)
make quick-start

# Manual Docker Compose
docker compose -f docker-compose.dev.yml up -d

🌐 Access URLs After Startup

Service	URL	Description
Main Dashboard	http://localhost:8501	Streamlit viral content analysis
Backend API	http://localhost:8080	RESTful API + Swagger UI
NLP Service	http://localhost:8000	Sentiment analysis API
Database Admin	http://localhost:8084	Adminer (PostgreSQL)
Redis Admin	http://localhost:8085	Redis Commander
Monitoring	http://localhost:9090	Prometheus metrics
Dashboards	http://localhost:3000	Grafana (admin/admin123)

🔧 Development Workflow

Starting Development

# Start all services
./start-dev.sh

# Check status
./start-dev.sh status

# View logs
./start-dev.sh logs streamlit-dashboard

Making Changes

Edit enhanced_viral_dashboard.py - Auto-reloads in browser
Edit service code in services/ - Restart specific service
Edit configuration - Restart affected services

Testing & Quality

# Run tests
make test

# Code formatting
make format

# Linting
make lint

# Type checking
make type-check

Database Operations

# Database shell
make db-shell

# Reset database
make db-reset

# Backup database
make db-backup

🔒 Security & Configuration

Development Defaults

PostgreSQL: sentinel/sentinelpass123
Redis: redispass123
Grafana: admin/admin123
JWT Secret: dev-jwt-secret-key-change-in-production

Environment Configuration

Copy .env.dev to .env and customize
Add API keys for social media platforms
Adjust resource limits as needed
Configure monitoring settings

📊 Resource Requirements

Minimum System Requirements

RAM: 8GB (recommended 16GB)
Disk: 10GB free space
CPU: 4 cores (recommended)
Docker: Version 20.10+
Docker Compose: Version 2.0+

Service Resource Allocation

Streamlit Dashboard: 2GB RAM limit
NLP Service: 4GB RAM limit (ML models)
Backend Service: 2GB RAM limit
PostgreSQL: 1GB RAM
Elasticsearch: 1GB RAM
Other Services: 512MB each

🧪 Testing & Validation

Health Checks

# Check all service health
make health-check

# Individual service checks
curl http://localhost:8501/_stcore/health  # Dashboard
curl http://localhost:8080/actuator/health # Backend
curl http://localhost:8000/health          # NLP Service

Integration Testing

# Run full test suite
make test

# Integration tests
make test-integration

# API endpoint testing
curl -X GET http://localhost:8080/api/health

🔄 Maintenance Commands

Cleanup

# Stop all services
./start-dev.sh stop

# Clean environment (removes containers/volumes)
./start-dev.sh clean

# Complete cleanup
make dev-clean-all

Updates

# Rebuild images
make dev-build-no-cache

# Restart services
./start-dev.sh restart

📚 Documentation

README_DOCKER_DEV.md - Comprehensive setup and usage guide
start-dev.sh help - Script usage and commands
make help - Available Makefile targets
Service APIs - Swagger UI at http://localhost:8080/swagger-ui.html

🎯 Production Considerations

Security Hardening

Change all default passwords
Use environment-specific secrets
Enable HTTPS/TLS
Restrict port exposure
Enable authentication and authorization

Performance Optimization

Increase resource limits for production workloads
Configure database connection pooling
Enable caching strategies
Set up load balancing

Monitoring & Alerting

Configure Grafana alerts
Set up log aggregation
Monitor resource usage
Set up backup strategies

✅ Verification Checklist

[x] Docker Compose files created and configured
[x] Dockerfile for Streamlit dashboard
[x] Environment configuration templates
[x] Startup automation scripts
[x] Development workflow tools (Makefile)
[x] Monitoring and admin interfaces
[x] Health checks and service discovery
[x] Volume mounts for development
[x] Network isolation and security
[x] Resource limits and optimization
[x] Comprehensive documentation
[x] Testing and validation tools

🚀 Next Steps

Start Development Environment: bash ./start-dev.sh
Access Main Dashboard:
Open http://localhost:8501
Verify all tabs are working
Test real-time analysis features
Explore Admin Interfaces:
Database: http://localhost:8084
Monitoring: http://localhost:3000
APIs: http://localhost:8080/swagger-ui.html
Begin Development:
Edit code with hot reload
Use monitoring tools
Run tests regularly

🎉 Development Environment Ready!

The SentinentalBERT Docker development environment is now fully configured and ready for use. All services are containerized, monitored, and optimized for development workflow.

Happy Coding! 🚀

Docker Development Summary