Skin Zone - Multi-Tenant Beauty Marketplace

A comprehensive architecture for a multi-tenant beauty marketplace platform that integrates ingredients, products, brands, salons, treatments, and therapists into a unified ecosystem. The platform features AppDirect integration for subscription management, a Hyper-Graph Neural Network (HGNN) database providing supply chain insights, and a prominent cheerleader mascot for brand identity and user engagement.

Project Structure

• backend/ - HyperGraphQL API backend

  • GraphQL and REST API endpoints
  • Org-aware hypergraph queries
  • Supply chain tracing
  • GitHub integration services

• skin-zone-app/ - React frontend application

  • User interface components
  • HyperGraphQL API client
  • Interactive hypergraph visualization

• documentation/ - Comprehensive technical documentation

  • Final Architecture Document
  • Technical Documentation
  • HyperGraphQL API Documentation
  • Usage Examples
  • Scalability & Security Validation

• architecture/ - Detailed architectural components

  • Marketplace Architecture
  • HGNN Database Schema
  • AppDirect Integration
  • Supply Chain Data Flow
  • User Roles and Permissions
  • Cheerleader Mascot Integration

• entities/ - Entity models and relationships

  • Ingredients
  • Products
  • Brands
  • Salons
  • Treatments
  • Therapists
  • Entity Relationships

• mockups/ - UI/UX wireframes

  • Homepage
  • Product Listing
  • Product Detail
  • Salon Detail
  • Booking Flow

• ui_assets/ - UI assets including the cheerleader mascot animation

Key Features

1. Multi-tenant Architecture - Supporting different brands and salons
2. HyperGraphQL API - GraphQL and REST API for org-aware hypergraph queries
3. OpenCog Cognitive AI v2 ✨ - Advanced reasoning, learning, and decision-making with:
   • Persistence Service - AtomSpace persistence with optional Redis
   • Federated Learning - Privacy-preserving cross-tenant knowledge transfer
   • Advanced Reasoning - Multi-step inference with explainability
   • Enhanced Statistics - Comprehensive monitoring and analytics
4. Supply Chain Tracing - Track products through ingredients to suppliers with cognitive analysis
5. Hypergraph Navigation - Path finding and graph traversal capabilities
6. GitHub Integration - Map repo folder structure to hypergraph entities
7. AppDirect Integration - For subscription and billing management
8. HGNN Database - Providing supply chain insights and recommendations
9. Cognitive Recommendations - AI-powered treatment and product recommendations with reasoning
10. Cheerleader Mascot - Prominent animated mascot across all interfaces
11. Responsive Design - Supporting desktop and mobile devices

Technology Stack

• Frontend: React with Vite, TailwindCSS, Radix UI components
• Backend: Node.js with Express, GraphQL (express-graphql)
• API Layer: HyperGraphQL API for hypergraph queries
• Cognitive AI: OpenCog-inspired cognitive architecture with AtomSpace, Pattern Matcher, and PLN reasoning
• Database: JSON-based hypergraph data with in-memory processing
• Future: PostgreSQL (relational data), Neo4j (graph database), Redis (caching)
• Messaging: RabbitMQ or Kafka for inter-service communication (planned)
• Containerization: Docker with Kubernetes orchestration (planned)
• Cloud Infrastructure: AWS/GCP/Azure (cloud-agnostic design)

Implementation Roadmap

1. Foundation Phase - Core infrastructure setup
2. Core Functionality Phase - Basic marketplace features
3. Advanced Features Phase - Supply chain insights and recommendations
4. Optimization Phase - Performance tuning and security hardening

Quick Start

Backend API

cd backend
npm install
npm start

The HyperGraphQL API will be available at:

• GraphQL endpoint: http://localhost:4000/graphql
• GraphiQL interface: http://localhost:4000/graphql (in browser)
• REST API: http://localhost:4000/api

See Backend README for detailed API documentation.

Frontend Application

cd skin-zone-app
npm install
npm run dev

The frontend will be available at http://localhost:5173

API Documentation

• Enhanced Features v2 ✨ - NEW! Production-ready enterprise features
• HyperGraphQL API Documentation - Complete API reference
• OpenCog Usage Examples - Practical cognitive AI examples
• Usage Examples - Practical examples and patterns
• Backend README - Backend setup and configuration

Example Queries

Get all ingredients

{
  nodes(filter: { type: "ingredient" }) {
    id
    name
    properties {
      category
      description
    }
  }
}

Trace supply chain

{
  traceSupplyChain(productId: "product_123") {
    product { name }
    ingredients { name }
    suppliers { name }
  }
}

Org-aware query

{
  nodes(filter: { type: "salon", tenantId: "luxe_skin_studio" }) {
    id
    name
  }
}

OpenCog cognitive recommendations

{
  cognitiveRecommendations(
    userId: "customer_123"
    context: "{\"type\": \"treatment\"}"
    tenantId: "luxe_skin_studio"
  ) {
    id
    name
    cognitiveScore
    confidence
    reasoning {
      rule
      impact
      reason
    }
  }
}

OpenCog supply chain analysis

{
  analyzeSupplyChain(
    productId: "product_123"
    analysisType: TRANSPARENCY
    tenantId: "beauty_brand_001"
  ) {
    score
    confidence
    insights {
      metric
      value
      impact
    }
    recommendations {
      type
      priority
      message
    }
  }
}

Repository Organization

This repository contains the complete architectural design, technical documentation, and implementation of the HyperGraphQL API for the Skin Zone beauty marketplace platform. It serves as both a reference architecture and a functional API implementation.