MQL5-Google-Onedrive/BOAT_HOUSE_INTEGRATION_SUMMARY.md
copilot-swe-agent[bot] 8a6f1b76af Add boat-house integration summary documentation
Co-authored-by: Mouy-leng <199350297+Mouy-leng@users.noreply.github.com>
2026-02-10 06:31:25 +00:00

4.8 KiB

Boat-House Integration Summary

Overview

Successfully integrated the boat-house microservices restaurant management system from VitaminC0224/boat-house into the MQL5-Google-Onedrive project.

Integration Date

2026-02-10

What Was Integrated

Boat-House System

  • Type: Microservices-based restaurant management system
  • Size: 157MB (15,665 files)
  • Architecture: Spring Boot (Java), Node.js, .NET Core
  • Databases: MySQL, PostgreSQL, Redis
  • Source: https://github.com/VitaminC0224/boat-house

Services Included

  1. client - Customer-facing restaurant website
  2. management - Backend management dashboard
  3. statistics-service - Statistics and analytics (Node.js + .NET + Redis + PostgreSQL)
  4. product-service - Product and menu management (Spring Boot + MySQL)
  5. account-service - User account management (Spring Boot + MySQL)
  6. order-service - Order processing
  7. pay-service - Payment processing

DevOps Tools

  • Jenkins pipelines for CI/CD
  • JMeter for performance testing
  • Selenium for UI automation
  • Kompose for Kubernetes deployment
  • Docker Compose for orchestration

Changes Made

1. Repository Structure

boat-house/                      # Complete microservices system
├── client/                      # Customer website
├── management/                  # Admin dashboard
├── statistics-service/          # Stats service
├── product-service/             # Product service
├── account-service/             # Account service
├── order-service/               # Order service
├── pay-service/                 # Payment service
├── jmeter/                      # Performance tests
├── selenium/                    # UI tests
├── pipelines/                   # CI/CD scripts
├── kompose/                     # Kubernetes configs
├── docker-compose.yml           # Orchestration
└── README.md                    # Original docs

2. Documentation Created

  • docs/Boat_House_Integration.md - Comprehensive integration guide
  • docs/Boat_House_Quick_Start.md - Quick start guide with Docker instructions
  • Updated README.md with boat-house reference
  • Updated docs/INDEX.md with integration documentation link

3. Build Configuration

  • Updated .gitignore to exclude boat-house build artifacts:
    • node_modules/
    • target/
    • .gradle/
    • build/
    • *.jar, *.war
    • dist/

4. Validation Scripts

  • Created scripts/validate_boat_house.py - Integration validation script
  • Updated scripts/ci_validate_repo.py - Excluded boat-house from secret scanning

Validation Results

All checks passing:

  • Repository structure validated (11/11 checks)
  • CI validation script passing
  • Code review completed with no issues
  • No conflicts with existing MT5 trading system

How to Use

Quick Start with Docker

cd boat-house
docker-compose up -d

Access the applications at:

Documentation

Architecture Notes

Independence

Both systems in this repository are independent:

  • MT5 Trading System: mt5/, scripts/, config/
  • Boat-House System: boat-house/

They can be used separately or together without interference.

Port Mappings

  • 3306: MySQL (Product/Account services)
  • 5000: Client website
  • 5001: Management dashboard
  • 6001: Statistics API
  • 6379: Redis
  • 7001: Product API
  • 7002: Account API

License

The boat-house project retains its original license. See boat-house/LICENSE.

Source Attribution

Security Notes

The boat-house directory contains demo/example API keys in JavaScript files. These are:

  • Placeholder keys from the FullCalendar library
  • Clearly marked as non-production keys
  • Excluded from secret scanning in CI/CD

Support

For issues specific to:

  • Boat-House functionality: Refer to the original repository
  • Integration into this project: Open an issue in this repository

Next Steps

  1. Review the Integration Guide
  2. Follow the Quick Start Guide to run the system
  3. Explore individual service documentation in their respective directories
  4. Customize configurations as needed for your environment