Advanced Usage Guide

Complex Integration Patterns

Real-time Market Making

Track pool state changes and price movements in real-time:

import { createClient, gql } from '@apollo/client';

const POOL_STATE = gql`
  query GetPoolState($poolId: ID!, $lastTimestamp: Int!) {
    pandaPool(id: $poolId) {
      price
      pandaReserve
      baseReserve
      swaps(
        where: { timestamp_gt: $lastTimestamp }
        orderBy: timestamp
        orderDirection: desc
        first: 1
      ) {
        timestamp
        amountPandaIn
        amountPandaOut
        averagePrice
      }
    }
  }
`;

class MarketMaker {
  private lastPoll: number = 0;
  private readonly POLL_INTERVAL = 1000; // 1 second

  async monitorPool(poolId: string) {
    while (true) {
      const { data } = await client.query({
        query: POOL_STATE,
        variables: {
          poolId,
          lastTimestamp: this.lastPoll
        },
        fetchPolicy: 'network-only' // Bypass cache
      });

      this.updateStrategy(data.pandaPool);
      this.lastPoll = Math.floor(Date.now() / 1000);
      await new Promise(resolve => setTimeout(resolve, this.POLL_INTERVAL));
    }
  }

  private updateStrategy(poolData: any) {
    // Implement your market making strategy
  }
}

Historical Analysis Engine

Efficiently process historical data for analytics:

Performance Optimization

Caching Strategies

Implement efficient caching for frequently accessed data:

Batch Processing

Efficiently handle multiple queries:

Error Handling & Recovery

Robust Query Handler

Handle network issues and retry failed queries:

Edge Cases

Handling Network Upgrades

Best Practices & Tips

1. Query Optimization

2. Rate Limiting

Monitoring & Debugging

Performance Monitoring

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