tanstack-details.md

TanStack Overview

For LeaderPort's real-time leaderboard system, we'll utilize the TanStack suite of libraries due to their production-ready status, comprehensive feature set, and excellent performance characteristics. Key benefits include:

• Production-proven reliability
• Type-safe by default
• Framework-agnostic design
• Extensive community support
• Enterprise-grade implementations

Core Components for LeaderPort

1. TanStack Query

Essential for leaderboard data management:

import { useQuery } from '@tanstack/react-query'

// Real-time score fetching
const leaderboardQuery = useQuery({
  queryKey: ['leaderboard'],
  queryFn: fetchLeaderboardData,
  refetchInterval: 1000, // Real-time updates
})

// Automatic background updates
useEffect(() => {
  if (leaderboardQuery.data) {
    updateLeaderboardUI(leaderboardQuery.data)
  }
}, [leaderboardQuery.data])

2. TanStack Store

Efficient state management for real-time data:

import { Store } from '@tanstack/store'

// Leaderboard state management
const leaderboardStore = new Store({
  state: {
    scores: [],
    playerRank: null,
    lastUpdate: null
  },
  onUpdate: () => {
    // Trigger UI updates efficiently
  }
})

3. TanStack Virtual

Optimized rendering for large leaderboards:

import { useVirtualizer } from '@tanstack/react-virtual'

// Virtual scrolling for large leaderboards
const virtualizer = useVirtualizer({
  count: leaderboardData.length,
  getScrollElement: () => scrollElementRef.current,
  estimateSize: () => 50,
})

Implementation Considerations

1. Data Management:

   • Use TanStack Query for data fetching and caching
   • Implement optimistic updates for score submissions
   • Configure automatic background refreshes

2. Performance Optimization:

   • Leverage TanStack Virtual for large datasets
   • Implement infinite scrolling for extensive leaderboards
   • Use TanStack Store for efficient state updates

3. Real-time Features:

   • WebSocket integration for live updates
   • Optimistic UI updates
   • Efficient re-rendering strategies

Research & Development Tasks

• Evaluate TanStack implementation:
  • Test TanStack Query for leaderboard data handling
  • Benchmark TanStack Store performance
  • Evaluate TanStack Virtual for large leaderboards
  • Document findings and recommendations

Benefits for LeaderPort

1. Scalability:

   • Handles large datasets efficiently
   • Optimized for real-time updates
   • Built-in caching and background updates

2. Developer Experience:

   • Comprehensive TypeScript support
   • Excellent documentation
   • Active community support

3. Production Readiness:

   • Battle-tested in large applications
   • Enterprise support available
   • Regular updates and maintenance

Integration with Bun/Hono

TanStack's framework-agnostic design allows seamless integration with our Bun/Hono backend:

// Backend API endpoint
app.get('/api/leaderboard', async (c) => {
  const data = await getLeaderboardData()
  return c.json(data)
})

// Frontend integration
const leaderboard = createQuery({
  queryKey: ['leaderboard'],
  queryFn: () => fetch('/api/leaderboard').then(r => r.json())
})

For detailed implementation examples and best practices, refer to the TanStack documentation.

For state management overview, see State Management Guide.

Implementation Strategy Update

After analyzing the LeaderPort API codebase, TanStack would be more valuable on the frontend/extension side rather than in the API for several reasons:

1. The API already handles:

   • Efficient caching (Redis)
   • Rate limiting
   • Error handling
   • Data transformation

2. TanStack's primary benefits (Query, Cache, Virtual) are most useful for:

   • Client-side data fetching
   • Cache management
   • UI virtualization
   • State management

3. For the browser extension, TanStack Query would be excellent for:

   • Managing API requests
   • Caching responses
   • Handling real-time updates
   • Background data refetching
   • Optimistic updates

Revised Architecture

Keep the current API architecture as is, and implement TanStack in the browser extension/frontend where its features will provide the most value. The API's role should remain focused on:

• Serving data efficiently
• Managing caching
• Handling rate limiting
• Processing requests

The frontend/extension can then use TanStack Query to optimally consume and manage this API data.