Enables payment processing and financial transaction management for booking fees, artist payments, and venue revenue tracking
Allows integration with Ticketmaster's platform for ticket sales and event management as part of the venue booking workflow
๐ต Lightbrush Music Venue Booking Agent
A comprehensive, production-ready music venue booking agent system with intelligent automation, real-time monitoring, and enterprise-grade security.
โจ Features
๐ฏ Core Booking Management
Intelligent Booking System - Automated venue and artist matching
Real-time Availability - Live calendar integration and conflict detection
Contract Management - Digital contracts with e-signature support
Financial Tracking - Revenue, payments, and profit analysis
Communication Hub - Centralized messaging and notifications
๐ค AI-Powered Automation
Smart Recommendations - AI-driven venue and artist suggestions
Automated Scheduling - Intelligent time slot optimization
Predictive Analytics - Performance and revenue forecasting
Dynamic Pricing - Market-based pricing recommendations
Risk Assessment - Event success probability analysis
๐ Comprehensive Dashboard
Real-time Analytics - Live booking metrics and KPIs
Interactive Calendar - Drag-and-drop booking management
Financial Reports - Detailed revenue and expense tracking
Performance Metrics - Venue and artist performance analytics
Custom Workflows - Configurable booking processes
๐ Enterprise Security
Multi-layer Authentication - JWT + session-based security
Role-based Access Control - Granular permission management
Data Encryption - End-to-end data protection
Audit Logging - Comprehensive activity tracking
Security Monitoring - Real-time threat detection
๐ Monitoring & Observability
Application Monitoring - Prometheus + Grafana dashboards
Log Aggregation - ELK stack integration
Performance Tracking - Real-time metrics and alerting
Health Checks - Automated system monitoring
Custom Alerts - Configurable notification system
๐ Quick Start
Prerequisites
Docker 24.0+ and Docker Compose 2.0+
4GB+ RAM and 20GB+ storage
Python 3.12+ (for manual installation)
One-Command Deploy
Docker Deployment (Recommended)
Access Points
Main Application: https://localhost
Admin Dashboard: http://localhost:8080 (internal network)
API Documentation: https://localhost/docs
Monitoring: http://localhost:8080/grafana
๐ Installation Options
Method | Best For | Setup Time | Complexity |
โญ | Production, Testing | 5 minutes | Low |
Development | 10 minutes | Low | |
Custom setups | 30 minutes | Medium | |
Enterprise | 45 minutes | High |
๐๏ธ Architecture
Technology Stack
Backend: Python 3.12, FastAPI/Flask
Database: PostgreSQL 15 with Redis caching
Frontend: Modern JavaScript, WebSocket real-time updates
Infrastructure: Docker, Nginx, Let's Encrypt SSL
Monitoring: Prometheus, Grafana, ELK Stack
Security: JWT authentication, encryption at rest
๐ System Overview
Database Schema
The system includes comprehensive data models:
Venues: Locations, capacity, technical specifications
Artists: Profiles, requirements, performance history
Bookings: Events, contracts, financial tracking
Communications: Messages, notifications, audit logs
Analytics: Performance metrics, revenue tracking
API Endpoints
๐ Security Features
Authentication & Authorization
JWT-based authentication with refresh tokens
Role-based access control (Admin, Manager, Agent, User)
Multi-factor authentication support
Session management with automatic timeout
Data Protection
AES-256 encryption for sensitive data
Encrypted database connections (SSL/TLS)
Secure API key management
GDPR-compliant data handling
Infrastructure Security
Nginx with security headers and rate limiting
Automated SSL certificate management
Container security scanning
Network segmentation and firewall rules
Monitoring & Auditing
Real-time security event monitoring
Comprehensive audit logging
Failed login attempt tracking
Suspicious activity detection
๐ Monitoring & Analytics
Performance Monitoring
Application Metrics: Response times, error rates, throughput
Infrastructure Metrics: CPU, memory, disk usage
Database Performance: Query times, connection pools
Custom Business Metrics: Booking rates, revenue trends
Alerting System
Critical Alerts: System failures, security breaches
Warning Alerts: Performance degradation, high error rates
Business Alerts: Booking milestones, revenue targets
Integration: Slack, email, SMS notifications
Dashboard Analytics
Real-time booking statistics
Revenue and financial analytics
Venue and artist performance metrics
System health and performance dashboards
๐ข Deployment
Cloud Platforms
Platform | Deployment Method | Documentation |
AWS | EC2 + RDS + ELB | |
Google Cloud | GCE + Cloud SQL | |
Azure | VM + Database | |
DigitalOcean | Droplets + Managed DB |
Container Orchestration
Docker Compose: Single-server deployment
Docker Swarm: Multi-server clustering
Kubernetes: Enterprise-grade orchestration
Helm Charts: K8s package management
Scaling Options
๐ง Configuration
Environment Variables
Feature Flags
๐งช Development
Development Setup
Testing
Code Quality
๐ Documentation
User Guides
Installation Guide - Complete setup instructions
Deployment Guide - Production deployment
Configuration Guide - System configuration
User Manual - Feature documentation
API Reference - API documentation
Technical Documentation
Architecture Guide - System design
Database Schema - Data model reference
Security Guide - Security implementation
Monitoring Guide - Observability setup
Contributing - Development guidelines
๐ค Contributing
We welcome contributions! Please see our Contributing Guidelines.
Development Workflow
Fork the repository
Create a feature branch (
git checkout -b feature/amazing-feature
)Commit your changes (
git commit -m 'Add amazing feature'
)Push to the branch (
git push origin feature/amazing-feature
)Open a Pull Request
Code Standards
Follow PEP 8 for Python code
Use meaningful commit messages
Add tests for new features
Update documentation
Ensure all CI checks pass
๐ Project Status
Current Version: v1.0.0
โ Core Features: Complete booking management system
โ Security: Enterprise-grade security implementation
โ Monitoring: Comprehensive observability stack
โ Deployment: Production-ready Docker deployment
โ Documentation: Complete installation and user guides
Roadmap
v1.1.0 (Q1 2025)
Mobile application support
Advanced AI recommendations
Multi-tenant architecture
Enhanced reporting features
v1.2.0 (Q2 2025)
Third-party integrations (Ticketmaster, etc.)
Advanced workflow automation
Machine learning insights
International localization
v2.0.0 (Q3 2025)
Microservices architecture
Real-time collaboration features
Advanced analytics dashboard
Enterprise SSO integration
๐ Support
Getting Help
๐ Documentation: Comprehensive guides and references
๐ Bug Reports: GitHub Issues
๐ฌ Discussions: GitHub Discussions
๐ Security Issues: security@your-domain.com
Community
Discord: Join our community
Twitter: @lightbrush_book
Newsletter: Subscribe for updates
Professional Support
Enterprise Support: enterprise@your-domain.com
Consulting Services: consulting@your-domain.com
Custom Development: custom@your-domain.com
๐ License
This project is licensed under the MIT License - see the LICENSE file for details.
๐ Acknowledgments
Contributors: Thanks to all who have contributed
Open Source: Built with amazing open source technologies
Community: Grateful for feedback and support
Installation โข Deployment โข Documentation โข Contributing โข Support
Made with โค๏ธ for the music industry
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A development framework for restaurant booking automation that is currently only ~5% functional with mock implementations. The actual booking functionality, MCP integration, and web automation features are not yet implemented.