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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