- 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.
- Introduced a new `scrapedTendersScope` type to encapsulate the MongoDB filter for tenders with scraped documents, improving clarity and maintainability.
- Updated the `Statistics` method to utilize the new scope resolution, allowing for more accurate data retrieval based on the presence of scraped documents.
- Implemented multiple tests for the `resolveScrapedTendersScope` method, ensuring correct behavior for various scenarios, including empty and fallback cases.
This update enhances the dashboard's ability to manage scraped document statistics, improving overall data accuracy and system performance.
- Introduced the ProcedureDocumentsLister interface to list contract folders with scraped documents, enhancing the accuracy of document-scrape statistics.
- Updated the dashboard repository to accept ProcedureDocumentsLister as a dependency, allowing for improved data retrieval.
- Implemented tests for the new functionality, ensuring proper handling of scraped document folder IDs and error propagation.
This update enhances the dashboard's capability to manage and report on scraped documents, improving overall system efficiency and data integrity.
- Updated the `Statistics` method to utilize `created_at` instead of `processing_metadata.scraped_at` for fetching daily counts, ensuring accurate historical data representation.
- Removed redundant conditions in the `scrapedDocumentsPerDay` method, streamlining the query logic for better performance and clarity.
- Added a new index on `source` and `created_at` to optimize database queries related to scraped documents.
This update enhances the accuracy of data retrieval in the dashboard statistics, improving the overall efficiency of the tender management system.
- 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