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System Architecture Overview

🏗️ Architecture Overview

Avent Properties implements an Apollo Server + Supabase SDK architecture that provides optimal performance, maintainability, and type safety.

🔄 GraphQL Architecture

Our GraphQL implementation follows a clean, standard Apollo approach:

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   Client App    │───▶│  Apollo Server   │───▶│   Supabase      │
│                 │    │                  │    │   PostgreSQL    │
│ - React 19      │    │ - Schema         │    │ - Database      │
│ - Apollo Client │    │ - Resolvers      │    │ - Auth          │
│ - TypeScript    │    │ - Context        │    │ - Storage       │
└─────────────────┘    └──────────────────┘    └─────────────────┘

Key Benefits

  • Efficient Database Access: Supabase SDK for optimized queries
  • Type Safety: Full TypeScript support with generated Supabase types
  • Performance: Optimized queries with efficient joins
  • Maintainability: Clean, standard Apollo patterns
  • Scalability: Easy to extend with new resolvers

🚀 Performance Features

1. Query Optimization

  • Efficient Queries: Supabase SDK handles database optimization
  • Proper Joins: Direct database queries with proper indexing
  • Connection Pooling: Supabase handles database connections

2. Type Safety & Validation

  • Generated Types: Automatic TypeScript types from Supabase schema
  • Runtime Validation: GraphQL schema validation
  • Compile-time Checks: Full TypeScript coverage

3. Caching Strategy

  • Apollo Client Cache: Intelligent query result caching
  • Database Query Cache: Supabase query result caching
  • Response Headers: Proper cache control headers

🏛️ System Components

Frontend Layer

┌─────────────────────────────────────────────────────────────┐
│                    Client Application                       │
├─────────────────────────────────────────────────────────────┤
│  Pages & Routes  │  Components  │  State Management       │
│  - App Router    │  - UI Kit    │  - Redux Toolkit        │
│  - Dynamic       │  - Forms     │  - React Query          │
│  - Static        │  - Layouts   │  - Local Storage        │
└─────────────────────────────────────────────────────────────┘

API Layer

┌─────────────────────────────────────────────────────────────┐
│                    GraphQL API                             │
├─────────────────────────────────────────────────────────────┤
│  Apollo Server   │  Resolvers   │  Context & Auth         │
│  - Schema        │  - Queries   │  - JWT Validation       │
│  - Middleware    │  - Mutations │  - Role-based Access    │
│  - Error Handling│  - Validation│  - User Context         │
└─────────────────────────────────────────────────────────────┘

Data Layer

┌─────────────────────────────────────────────────────────────┐
│                    Data Management                         │
├─────────────────────────────────────────────────────────────┤
│  Supabase SDK    │  Database    │  Storage & Auth          │
│  - Client        │  - PostgreSQL│  - File Storage          │
│  - Queries       │  - RLS       │  - User Management      │
│  - Subscriptions │  - Indexes   │  - Session Handling      │
└─────────────────────────────────────────────────────────────┘

🔐 Authentication & Authorization

JWT-based Authentication

  • Token Management: Secure JWT tokens via Supabase Auth
  • Role-based Access: Client, Agency, Admin permissions
  • Row Level Security: Database-level access control

Authorization Flow

1. User Login → Supabase Auth → JWT Token
2. Token Validation → Apollo Context → User Info
3. Resolver Execution → Role Check → Data Access
4. RLS Policies → Database Query → Filtered Results

📊 Data Flow

Query Flow

Client Request → Apollo Server → Resolver → Supabase SDK → PostgreSQL
     ↓              ↓            ↓           ↓           ↓
  GraphQL Query → Schema → Business Logic → Database → Results
     ↓              ↓            ↓           ↓           ↓
  Cached Result ← Apollo Cache ← Response ← Supabase ← Data

Mutation Flow

Client Mutation → Apollo Server → Resolver → Validation → Supabase SDK
     ↓              ↓            ↓           ↓           ↓
  GraphQL Input → Schema → Business Rules → Input Check → Database
     ↓              ↓            ↓           ↓           ↓
  Success/Error ← Response ← Audit Log ← Transaction ← Commit

🗄️ Database Schema

Core Tables

  • users - User accounts with role-based access
  • properties - Property listings with details and media
  • agencies - Real estate agencies
  • tour_reservations - Tour bookings with deposit tracking
  • transactions - Financial transactions and commissions
  • contact_requests - Customer inquiries

Relationships

users (1) ←→ (many) tour_reservations
users (1) ←→ (many) transactions
agencies (1) ←→ (many) properties
properties (1) ←→ (many) tour_reservations
tour_reservations (1) ←→ (1) transactions

🔧 Development Architecture

File Structure

lib/graphql/
├── schema.ts              # GraphQL schema definition
├── context.ts             # Apollo context with auth
└── resolvers/
    ├── index.ts           # Resolver aggregation
    ├── queries.ts         # Query resolvers
    └── mutations.ts       # Mutation resolvers

lib/
├── database.types.ts      # Generated Supabase types
├── supabase.ts            # Supabase client configuration
└── apollo-client.ts       # Apollo client configuration

Type Safety

  • Generated Types: Database interface from Supabase
  • GraphQL Types: Schema-driven type definitions
  • Resolver Types: Full TypeScript coverage
  • Context Types: Typed authentication context

🚀 Performance Optimization

Query Optimization

  • Efficient Joins: Proper database relationships
  • Indexing: Strategic database indexes
  • Pagination: Cursor-based pagination
  • Filtering: Database-level filtering

Caching Strategy

  • Apollo Client: Query result caching
  • Database: Query result caching
  • CDN: Static asset caching
  • Browser: HTTP cache headers

🔒 Security Features

Data Protection

  • Row Level Security: Database-level access control
  • Input Validation: GraphQL schema validation
  • SQL Injection: Parameterized queries via Supabase
  • XSS Protection: Content Security Policy

Authentication Security

  • JWT Tokens: Secure token management
  • Role Validation: Server-side role checking
  • Session Management: Secure session handling
  • Rate Limiting: API request throttling

📈 Scalability Considerations

Horizontal Scaling

  • Load Balancing: Multiple server instances
  • Database Sharding: Future PostgreSQL scaling
  • CDN: Global content distribution
  • Microservices: Future service decomposition

Performance Monitoring

  • Query Performance: GraphQL execution timing
  • Database Load: Connection pool monitoring
  • Cache Efficiency: Hit/miss ratio tracking
  • Response Times: End-to-end latency

🧪 Testing Strategy

Test Coverage

  • Unit Tests: Resolver function testing
  • Integration Tests: GraphQL endpoint testing
  • E2E Tests: Full user flow testing
  • Performance Tests: Load and stress testing

Test Tools

  • Jest: Unit and integration testing
  • React Testing Library: Component testing
  • Playwright: E2E testing
  • GraphQL Playground: API testing

🎯 Architecture Benefits

Aspect Benefit
Performance Efficient database access via Supabase SDK
Maintainability Standard Apollo patterns, clean code
Type Safety Full TypeScript coverage
Scalability Easy to extend and modify
Security JWT + RLS + input validation
Testing Comprehensive test coverage

🛠️ Maintenance & Code Standards

Regular Cleanup Recommendations

  • Dependency Review: Quarterly review for unused packages
  • Legacy Pattern Monitoring: Identify and remove outdated patterns
  • Documentation Sync: Keep docs synchronized with implementation
  • Build Optimization: Regular dependency updates with cleanup

Code Standards

  • SOLID Principles: Maintain throughout new development
  • Established Patterns: Use Repository, Validation Builder, Error Hierarchy
  • Hook Organization: Follow established hook structure
  • GraphQL Implementation: Keep clean and current with Apollo Server

Performance Monitoring

  • Edge Runtime: Monitor Supabase realtime-js Edge Runtime compatibility
  • Bundle Size: Track dependency impact on build size
  • Build Times: Monitor for optimization opportunities
  • Test Coverage: Maintain >80% coverage threshold

This architecture provides a solid foundation for building and scaling the Avent Properties platform with optimal performance and maintainability.