A complete real-time notification system using PostgreSQL LISTEN/NOTIFY with a modern service-oriented architecture, multi-tenant support, and enhanced data generation.
notify_postgres/
├── 📁 services/ # Service-oriented architecture
│ ├── 📁 backend/ # Multi-tenant Flask API Service
│ │ ├── unified_app.py # Unified multi-tenant backend
│ │ ├── multi_tenant_app.py # Multi-tenant backend
│ │ ├── app.py # Legacy single-tenant backend
│ │ ├── start_comp_*.sh # Company-specific startup scripts
│ │ ├── requirements.txt # Backend dependencies
│ │ ├── config.ini # Service configuration
│ │ └── Dockerfile # Container configuration
│ ├── 📁 frontend/ # React Frontend Service
│ │ ├── src/ # React source code
│ │ │ ├── App.tsx # Main multi-tenant app
│ │ │ ├── App.css # Modern glass-morphism styling
│ │ │ └── App_Company*.tsx # Company-specific components
│ │ ├── public/ # Static files
│ │ ├── package.json # Frontend dependencies
│ │ ├── config.ini # Service configuration
│ │ └── Dockerfile # Container configuration
│ ├── 📁 notification-engine/ # Notification Engine Service
│ │ ├── unified_system.py # Unified multi-tenant system
│ │ ├── multi_tenant_system.py # Multi-tenant notification system
│ │ ├── notification_system.py # Core notification system
│ │ ├── config.ini # Service configuration
│ │ └── Dockerfile # Container configuration
│ ├── 📁 database/ # Database Service
│ │ ├── multi_tenant_schema.sql # Multi-tenant database schema
│ │ ├── multi_tenant_generator.py # Enhanced Faker-based data generator
│ │ ├── schema.sql # Single-tenant database schema
│ │ └── config.ini # Service configuration
│ ├── multi_tenant_manager.sh # Multi-tenant service management
│ └── service-manager.sh # Service management script
├── 📁 scripts/ # Utility Scripts
├── 📁 tests/ # Test Files
├── 📁 docs/ # Documentation
├── 📄 docker-compose.yml # Docker orchestration
├── 📄 Makefile # Easy command shortcuts
├── 📄 MULTI_TENANT_README.md # Multi-tenant documentation
└── 📄 README.md # This file
# Start multi-tenant services
make start-multi
# Generate realistic test data
make generate
# Access the unified frontend
open http://localhost:3000
# Start all services with Docker
docker-compose up -d
# View logs
docker-compose logs -f
# Stop all services
docker-compose down
# Start all services
./services/service-manager.sh start all
# Start specific service
./services/service-manager.sh start backend
# Check status
./services/service-manager.sh status
# Stop all services
./services/service-manager.sh stop all
# Setup database
make setup
# Start services individually
make backend
make frontend
- TechFlow Solutions: Port 5001 (Technology industry)
- SocialMedia Pro: Port 5002 (Social Media Marketing)
- OmniChannel Corp: Port 5003 (E-commerce)
- Type: Flask API + WebSocket
- Features: Multi-tenant REST API, real-time notifications, company-specific routing
- Start:
make start-multi
or./services/multi_tenant_manager.sh start
- Port: 3000
- Type: React Web App with Multi-Tenant Support
- Features:
- Modern glass-morphism UI design
- Company switching with dynamic themes
- Real-time notifications with beautiful animations
- Analytics dashboard with comprehensive metrics
- WhatsApp-like interface for engagements
- Start:
./services/service-manager.sh start frontend
- Type: Background Service
- Features:
- Multi-tenant PostgreSQL LISTEN/NOTIFY processing
- Company-specific notification routing
- Real-time WebSocket event distribution
- Enhanced notification payloads
- Start:
./services/service-manager.sh start engine
- Port: 5432
- Type: PostgreSQL Database with Multi-Tenant Schemas
- Features:
- Separate schemas for each company
- Enhanced triggers and notification functions
- Realistic test data generation with Faker
- Comprehensive analytics tables
- Start:
./services/service-manager.sh start database
# Start services
./services/service-manager.sh start [service]
./services/service-manager.sh start all
./services/service-manager.sh start backend
./services/service-manager.sh start frontend
# Stop services
./services/service-manager.sh stop [service]
./services/service-manager.sh stop all
# Restart services
./services/service-manager.sh restart [service]
./services/service-manager.sh restart all
# Check status
./services/service-manager.sh status
# Start all services
docker-compose up -d
# Start specific service
docker-compose up -d backend
# View logs
docker-compose logs -f backend
# Stop all services
docker-compose down
# Rebuild services
docker-compose build --no-cache
Each service has its own configuration file:
services/backend/config.ini
- Backend service configservices/frontend/config.ini
- Frontend service configservices/notification-engine/config.ini
- Engine configservices/database/config.ini
- Database config
- Unified Frontend: http://localhost:3000 (Company switching interface)
- TechFlow Solutions API: http://localhost:5001
- SocialMedia Pro API: http://localhost:5002
- OmniChannel Corp API: http://localhost:5003
- Database: localhost:5432
- ✅ Service-oriented architecture
- ✅ Multi-tenant support with separate schemas
- ✅ Docker containerization
- ✅ Unified notification system
- ✅ Service management tools
- ✅ Health checks and monitoring
- ✅ Scalable and maintainable
- ✅ Modern glass-morphism UI design
- ✅ WhatsApp-like React interface
- ✅ Company switching with dynamic themes
- ✅ Real-time notifications with beautiful animations
- ✅ Analytics dashboard with comprehensive metrics
- ✅ Responsive design for all devices
- ✅ Real-time PostgreSQL notifications
- ✅ WebSocket connections with robust error handling
- ✅ Multi-tenant notification routing
- ✅ Enhanced notification payloads
- ✅ No artificial API limits (shows ALL data)
- ✅ Optimized database queries
- ✅ Enhanced data generation with Faker
- ✅ Realistic test data across multiple industries
- ✅ Comprehensive analytics metrics
- ✅ Multi-locale support (US, GB, CA, AU)
- ✅ Rich metadata with location, device, browser info
- ✅ Intelligent data distribution patterns
# Generate realistic test data for all companies
make generate
# Generate data for specific companies
make generate-alpha # TechFlow Solutions
make generate-beta # SocialMedia Pro
make generate-gamma # OmniChannel Corp
# Generate large datasets
make generate-large
- Realistic User Data: International phone numbers, emails, social media handles
- Industry-Specific Content: Technology, Social Media Marketing, E-commerce
- Intelligent Distribution: Recent bias, weekday patterns, status distribution
- Rich Metadata: Location, device, browser, customer tier information
- Multi-Locale Support: US, GB, CA, AU locales for diverse data
# Test the system
make test
# Check service status
make status
# View logs
make logs
# Start multi-tenant services
make start-multi
# Generate test data
make generate
# Access unified frontend
open http://localhost:3000
# Use Docker Compose
docker-compose up -d
# Check service status
./services/service-manager.sh status
# View service logs
docker-compose logs -f [service]
- Multi-Tenant Setup - Detailed multi-tenant configuration
- Service Architecture - Comprehensive system documentation
- API Documentation - REST API endpoints and WebSocket events
Your PostgreSQL notification system now features a modern multi-tenant architecture with enhanced data generation and beautiful UI! 🚀