6.9 KiB
6.9 KiB
Notification System Fixes - Implementation Summary
Date: 2026-01-06
Status: ✅ All fixes implemented
✅ Fix #1: Redis Caching for Leantime User ID
Problem:
getLeantimeUserId()fetched ALL users from Leantime API every time- No caching, causing slow performance and inconsistent results
- Race conditions between different calls
Solution:
- Added Redis caching with 1-hour TTL
- Cache key:
leantime:userid:${email.toLowerCase()} - Checks cache first before making API call
- Caches result after successful fetch
Implementation:
- File:
lib/services/notifications/leantime-adapter.ts - Method:
getLeantimeUserId() - Cache TTL: 3600 seconds (1 hour)
- Static helper:
invalidateUserIdCache()for manual cache clearing
Benefits:
- ✅ Faster performance (no API call if cached)
- ✅ More reliable (consistent results)
- ✅ Reduced API load on Leantime
- ✅ Better error recovery (can use cached value if API fails)
✅ Fix #2: Retry Logic with Exponential Backoff
Problem:
getLeantimeUserId()failed immediately on API errors- No retry mechanism for transient failures
- Network errors caused permanent failures
Solution:
- Added retry logic with up to 3 retries
- Exponential backoff: 1s, 2s, 4s (max 5s)
- Retries on:
- Server errors (5xx)
- Rate limiting (429)
- Network errors
- Certain JSON-RPC errors
Implementation:
- File:
lib/services/notifications/leantime-adapter.ts - Method:
getLeantimeUserId()withfetchWithRetry() - Max Retries: 3
- Backoff: Exponential (1s → 2s → 4s)
Benefits:
- ✅ Handles transient failures gracefully
- ✅ Better resilience to network issues
- ✅ Improved success rate for user ID lookup
✅ Fix #3: Always Invalidate Cache After Marking
Problem:
- Cache only invalidated if marking operation succeeded
- If
getLeantimeUserId()failed, cache stayed stale - Count remained at old value (65) even after marking attempts
Solution:
- Always invalidate cache after marking attempt
- Even if operation failed or returned
false - Ensures fresh data on next fetch
Implementation:
- File:
lib/services/notifications/notification-service.ts - Methods:
markAsRead()- Always invalidates cachemarkAllAsRead()- Always invalidates cache
- Logic: Cache invalidation happens regardless of success/failure
Benefits:
- ✅ Count always refreshes after marking attempts
- ✅ User sees accurate data even if operation partially failed
- ✅ Better UX (no stale count stuck at 65)
✅ Fix #4: Improved Count Accuracy
Problem:
- Count only based on first 100 notifications
- If user had >100 notifications, count was inaccurate
- Used cached notifications which might be stale
Solution:
- Fetch up to 1000 notifications directly from API for counting
- Bypasses cache to get fresh data
- More accurate count for users with many notifications
Implementation:
- File:
lib/services/notifications/leantime-adapter.ts - Method:
getNotificationCount() - Change: Fetches directly from API (up to 1000) instead of using cached
getNotifications() - Warning: Logs if count reaches 1000 (might have more)
Benefits:
- ✅ More accurate count (up to 1000 notifications)
- ✅ Fresh data (bypasses cache)
- ✅ Better handling of users with many notifications
✅ Fix #5: Better Error Handling and Logging
Problem:
- Errors were logged but not handled gracefully
- No way to manually clear user ID cache
- Limited error context in logs
Solution:
- Added static method to invalidate user ID cache
- Improved error messages with more context
- Better logging throughout the flow
- Graceful degradation on errors
Implementation:
- File:
lib/services/notifications/leantime-adapter.ts - Static Method:
invalidateUserIdCache(email) - Improved Logging: More detailed error messages
- Error Recovery: Continues operation even if caching fails
Benefits:
- ✅ Better debugging with detailed logs
- ✅ Manual cache clearing for troubleshooting
- ✅ More resilient to partial failures
📊 Expected Behavior After Fixes
Before Fixes:
- Mark all as read →
getLeantimeUserId()fails → Returnsfalse - Cache NOT invalidated → Count stays 65 ❌
- User sees stale count
After Fixes:
- Mark all as read →
getLeantimeUserId()checks cache first ✅ - If cached: Uses cached ID immediately ✅
- If not cached: Fetches with retry logic ✅
- Marks notifications as read ✅
- Always invalidates cache ✅
- Count refresh gets fresh data → Shows 0 ✅
🎯 Key Improvements
Reliability:
- ✅ User ID lookup is now cached and retried
- ✅ Cache always invalidated after marking
- ✅ Better error recovery
Performance:
- ✅ Faster user ID lookup (cached)
- ✅ Reduced API calls to Leantime
- ✅ More efficient cache usage
Accuracy:
- ✅ Count based on up to 1000 notifications
- ✅ Fresh data from API (bypasses stale cache)
- ✅ Better handling of edge cases
User Experience:
- ✅ Count updates correctly after marking
- ✅ No more stuck count at 65
- ✅ Faster response times
🚀 Testing Checklist
After rebuild (rm -rf .next && npm run build && npm start):
-
✅ Test Mark All As Read:
- Should work even if user ID lookup was previously failing
- Count should update to 0 after marking
- Cache should be invalidated
-
✅ Test Mark Single As Read:
- Should work reliably
- Count should decrement correctly
- Cache should be invalidated
-
✅ Test Count Accuracy:
- Should show accurate count (up to 1000)
- Should refresh after marking
- Should use fresh data from API
-
✅ Test User ID Caching:
- First call should fetch from API
- Subsequent calls should use cache
- Should be faster on subsequent calls
-
✅ Test Retry Logic:
- Should retry on transient failures
- Should eventually succeed or fail gracefully
- Should log retry attempts
📝 Files Modified
-
lib/services/notifications/leantime-adapter.ts:- Added Redis caching for user ID
- Added retry logic with exponential backoff
- Improved
getNotificationCount()to fetch directly from API - Added
invalidateUserIdCache()static method - Better error handling and logging
-
lib/services/notifications/notification-service.ts:- Always invalidate cache in
markAsRead() - Always invalidate cache in
markAllAsRead() - Better error handling and logging
- Always invalidate cache in
🔧 Configuration
- User ID Cache TTL: 3600 seconds (1 hour)
- Max Retries: 3 attempts
- Retry Backoff: Exponential (1s, 2s, 4s, max 5s)
- Count Fetch Limit: 1000 notifications
Status: ✅ All fixes implemented and ready for testing