- Increased the cache duration for dashboard statistics from 60 seconds to 5 minutes, improving data freshness and reducing load on the backend.
- Introduced a stale cache mechanism that allows retrieval of stale statistics while refreshing them in the background, enhancing user experience by providing quicker access to data.
- Updated the statistics repository to handle the new caching logic, ensuring accurate and timely statistics reporting.
- Added tests to validate the new caching behavior and ensure the integrity of statistics retrieval.
This update optimizes the dashboard's performance and responsiveness by improving the caching strategy for statistics.
- Introduced caching mechanisms for summary and statistics in the dashboard service, improving performance by reducing redundant data retrieval.
- Refactored the Summary method to utilize MongoDB aggregation for more efficient data processing and retrieval.
- Added synchronization features using singleflight to prevent duplicate processing of requests for cached data.
- Updated the repository to include a cachedScrapedTendersScope method, enhancing the efficiency of scraped document statistics retrieval.
This update significantly optimizes the dashboard's performance and data handling capabilities, ensuring faster response times and reduced load on the database.
- Changed the default MinIO bucket name from "opplens-documents" to "opplens" across multiple configuration files.
- Introduced caching for dashboard statistics in the service layer to improve performance and reduce redundant data fetching.
- Implemented a mutex for thread-safe access to cached statistics, ensuring data integrity during concurrent requests.
This update streamlines the configuration for the AI summarizer and optimizes the dashboard service, enhancing overall system efficiency.
- Updated `InitAISummarizerClient` to accept `mongoManager` for tracking translation success.
- Introduced new `Statistics` endpoint in the dashboard to fetch scraping and translation statistics.
- Enhanced `TranslationWorker` to utilize the new success counter for tracking successful translations.
- Added necessary data structures and query forms for statistics reporting.
This refactor improves the tracking of AI translation success and provides new insights through the dashboard statistics.
Mazyar