Files
tm_back/internal
Mazyar 69445130ce
continuous-integration/drone/push Build is passing
Refactor AI recommendation fetching and caching in company service
- Introduced retry logic for fetching AI recommendations after onboarding, enhancing reliability in recommendation retrieval.
- Updated logging levels for better observability, changing cache miss logs to Info level.
- Renamed methods for clarity, replacing `refreshAIRecommendationsCacheAsync` with `scheduleRecommendationRefreshAfterOnboarding` and `fetchAndCacheAIRecommendations` with `fetchAIRecommendations`.
- Implemented a mechanism to clear the cache if no recommendations are returned, improving cache management.

This update optimizes the AI recommendation process, ensuring more robust handling of recommendation fetching and caching during onboarding.
2026-06-23 13:54:54 +03:30
..
2026-05-31 02:17:46 +03:30
2026-05-17 17:21:36 +03:30
2026-05-17 17:21:36 +03:30
2026-05-30 12:13:46 +03:30
2026-05-19 21:58:44 +03:30