- Updated `.drone.yml` to remove lingering legacy worker source files after git deletion, ensuring a clean build environment.
- Modified `Makefile` to include a new `build-worker` target that removes deprecated scraper and queue source files, streamlining the worker build process.
This change enhances the build process by eliminating outdated components and ensuring that the worker is built without legacy dependencies.
- Removed the QueueConfig structure and related queue management files as they are no longer in use.
- Updated the worker initialization to reflect the removal of queue-related configurations.
- Cleaned up the bootstrap process by eliminating deprecated logging related to the queue system.
This update streamlines the worker's configuration and prepares the codebase for future enhancements without the legacy queue management components.
Paginate un-summarized tenders and mark rows missing notice/folder IDs as handled so the worker cannot spin forever. Return 400/404 for validation and not-found cases on AI summarize/analyze triggers instead of leaking internal errors as 500.
- Added a new endpoint to trigger on-demand agentic analysis for tenders via the AI service.
- Introduced `TriggerAIAnalyze` method in the `TenderHandler` to handle requests and responses for AI analysis.
- Updated the `tenderService` to include `TriggerAIAnalyze` method, which validates input and interacts with the AI summarizer client.
- Enhanced the `AIAnalyzeResponse` and `AIAnalyzeDocument` structures to support the new analysis feature.
- Refactored the `DocumentSummarizationWorker` and `TranslationWorker` to remove deprecated MinIO dependencies, streamlining the AI service interactions.
This update improves the functionality of the tender management system by allowing users to trigger AI analysis on-demand, enhancing the overall user experience and system capabilities.
- Improved the `IsDuplicateKeyError` function to utilize structured error messages for better accuracy in identifying duplicate key errors.
- Introduced `duplicateKeyMessages` and `hasStructuredWriteException` functions to parse and extract relevant information from MongoDB error messages.
- Updated `DuplicateKeyMatchesField` to match duplicate key errors against specific fields by analyzing error messages rather than relying on substring matching.
This refactor enhances the clarity and reliability of duplicate key error handling, ensuring more precise identification of conflicts in MongoDB operations.
- 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.
Map E11000 from the per-collection phone index to friendly conflict
errors and skip redundant GetByPhone when the phone is unchanged.
Not blocking: IAT test DB may need a one-off dedupe for index build;
phone uniqueness is per collection (users vs customers), not global.
Added functionality to check for existing customers and users by phone number during registration and updates. Updated the handler, service, and repository layers to include phone number checks, ensuring unique phone numbers across customers and users.
Frontend sends nested address field names for sorting; accept them alongside the existing country and state aliases.
Co-authored-by: Cursor <cursoragent@cursor.com>
mazyar
nima