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This merge brings in the latest changes from main including: - HTTP polling architecture (replacing Socket.IO) - TanStack Query migration - Document browser functionality - Latest bug fixes and improvements Our OpenAI error handling features have been preserved and integrated: - Authentication error handling with HTTP 401 responses - API key validation before operations - Error message sanitization for security - Comprehensive error handling for quota/rate limits 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
3.8 KiB
3.8 KiB
Polling Mechanism Analysis & Recommendation
Issue Analysis: Slow UI Refresh Times
Problem Statement
The UI sometimes takes over 10 seconds to refresh and show changes, when users expect updates within 1-2 seconds.
Root Cause Analysis
VERIFIED FINDINGS:
Multiple Polling Intervals
- Tasks: 5-second base interval
- Projects: 20-second base interval
- MCP Status: 5-second interval
- Backend Health: 30-second interval
Smart Polling Behavior
// From useSmartPolling.ts lines 45-58
const getSmartInterval = (): number | false => {
if (!isVisible) {
return false; // Page hidden - disable polling
}
if (!hasFocus) {
return 60000; // Window unfocused - poll every 60 seconds
}
return baseInterval; // Active state - use base interval
};
Stale Time Configurations
- Tasks: 10-second stale time
- Projects: 15-second stale time
- MCP Status: 3-second stale time
Current Task Configuration
// From useTaskQueries.ts lines 14-27
export function useProjectTasks(projectId: string | undefined, enabled = true) {
const { refetchInterval } = useSmartPolling(5000); // 5 second base interval
return useQuery<Task[]>({
refetchInterval,
staleTime: 10000, // Consider data stale after 10 seconds
// ...
});
}
Why Delays Occur
- Focus-based throttling: Window loses focus → polling slows from 5s to 60s
- Stale time conflicts: 5s polling + 10s stale time = potential 15s delays
- Variable polling rates: Different components update at different speeds
- ETag cache misses: Rare scenarios require full refetch cycles
Recommendation: Reduce Task Polling to 2-3 Seconds
Why This Makes Sense
✅ Technical Support
- ETag caching provides 70-90% bandwidth savings via HTTP 304 responses
- Smart polling already optimizes (disables when hidden, slows when unfocused)
- Local deployment eliminates scaling concerns
- Existing infrastructure handles frequent requests efficiently
✅ User Experience Benefits
- Task management is highly interactive (status changes, creation, updates)
- Users expect immediate feedback for task operations
- Current 5s feels sluggish for interactive workflows
- MCP integration benefits from responsive task updates
✅ Minimal Technical Cost
- Most requests return HTTP 304 (cached) with existing ETag system
- Smart polling prevents battery drain on mobile/inactive tabs
- Single-user deployment avoids server load concerns
Recommended Implementation
// In useTaskQueries.ts
export function useProjectTasks(projectId: string | undefined, enabled = true) {
const { refetchInterval } = useSmartPolling(2000); // 2s instead of 5s
return useQuery<Task[]>({
queryKey: projectId ? taskKeys.all(projectId) : ["tasks-undefined"],
queryFn: async () => {
if (!projectId) throw new Error("No project ID");
return taskService.getTasksByProject(projectId);
},
enabled: !!projectId && enabled,
refetchInterval,
refetchOnWindowFocus: true,
staleTime: 5000, // 5s instead of 10s for consistency
});
}
Expected Impact
- Perceived responsiveness: Updates appear within 2-5 seconds instead of 5-15 seconds
- Bandwidth: Minimal increase due to ETag caching (most requests = 304 responses)
- Battery: No impact due to smart polling (stops when tab inactive)
- User satisfaction: Significantly improved for interactive task workflows
Files to Modify
/src/features/projects/tasks/hooks/useTaskQueries.ts- Line 15: Change
useSmartPolling(5000)touseSmartPolling(2000) - Line 26: Change
staleTime: 10000tostaleTime: 5000
- Line 15: Change
This change maintains the existing bandwidth-efficient architecture while providing much better user experience for the most interactive part of the application.