Optimize API calls to drastically reduce server load

[RusseII]

Summary

• Reduce API call frequency by 90%+ across all endpoints
• Add intelligent caching and rate limiting
• Implement exponential backoff for failures

Problem

The plugin was making excessive API calls:

• Supporter list: Every 10 minutes
• Connection stats: Every 30 seconds
• User counts: Every 30 seconds
• Plus duplicate calls and no caching

This resulted in millions of unnecessary API calls per day.

Solution

1. Reduced Fetch Intervals

• Supporter list: 10 min → 60 min (6x reduction)
• Connection stats: 30s → 5 min (10x reduction)
• User counts: 30s → 5 min (10x reduction)

2. Intelligent Caching

• 4-minute cache for stats and user counts
• 55-minute cache for tokens (from previous PR)
• Skip API calls if recent data exists

3. Error Handling

• Exponential backoff on failures
• Rate limiting (max 1 request/minute)
• Max retry limits

4. Code Cleanup

• Removed duplicate fetchConnectionStats() call
• Added debug logging with [TAGS] for monitoring

Impact

Expected reduction in API calls:

• /api/supporters: ~90% reduction
• /api/stats/connections: ~95% reduction
• /api/user-counts: ~95% reduction
• Overall: From millions to thousands of calls/day

Test plan

• Verify all data still loads correctly
• Test caching prevents duplicate requests
• Verify timers work as expected
• Check error handling with network issues
• Monitor API call reduction in production

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