Active engagement

Overview

Lillo's engagement tracking system provides foundational analytics and metrics collection for community interactions. The current implementation establishes core tracking capabilities, with plans for expanded engagement features and detailed analytics.

Command Metrics

Metric Collection

interface CommandMetrics {
  command: string;
  userId: number;
  chatId: number;
  duration: number;
  success: boolean;
  error?: string;
  timestamp: number;
}

Storage Implementation

• Real-time KV store for quick access

• PostgreSQL for long-term analysis

• Dual-storage strategy for performance

• Automatic data retention

Data Collection

Command Analytics

• Usage frequency

• Success rates

• Response times

• Error patterns

• User distribution

Storage Strategy

// Quick access in KV store
const key = `metrics:cmd:${metrics.command}:${metrics.timestamp}`;
await storeInKV(key, metrics);

// Long-term storage in PostgreSQL
await sql`
  INSERT INTO command_metrics (
    command, user_id, chat_id, duration,
    success, error, timestamp
  ) VALUES (
    ${metrics.command}, ${metrics.userId},
    ${metrics.chatId}, ${metrics.duration},
    ${metrics.success}, ${metrics.error},
    ${metrics.timestamp}
  );
`;

Performance Tracking

Monitored Metrics

• Command execution time

• API response latency

• Cache hit rates

• Error frequencies

• User engagement levels

Implementation Details

• Real-time monitoring

• Performance logging

• Error tracking

• Usage patterns

• Resource utilization

Future Enhancements

The engagement system is being expanded to include:

• Advanced analytics dashboard

• User engagement scoring

• Community health metrics

• Trend analysis

• Behavioral insights

• Customizable reports

Data Analysis

Current Capabilities

• Basic usage statistics

• Performance metrics

• Error tracking

• User activity monitoring

Planned Features

• Advanced analytics

• User behavior analysis

• Engagement optimization

• Community insights

• Trend forecasting

Best Practices

Data Collection

• Respect user privacy

• Optimize storage usage

• Regular maintenance

• Data validation

Performance Monitoring

• Track key metrics

• Set up alerts

• Monitor trends

• Regular reviews

Related Documentation

• Moderation System

• Database Schema

• API Reference