- Updated the AI pipeline service to include a new `ScrapedDocumentMetadataSyncer` interface for persisting scraped document metadata onto tender records.
- Modified the `NewService` function to accept the new metadata syncer dependency.
- Implemented synchronization of scraped document metadata in the `ScrapeDocuments` and `Run` methods.
- Enhanced the tender service to enrich search filters based on scraped documents and added a new method for syncing scraped documents from storage.
- Updated the `SearchForm` to include `ContractFolderIDsWithDocuments` for better handling of scraped documents in queries.
This update improves the integration of scraped document handling within the AI pipeline, enhancing data consistency and operational efficiency in the tender management system.
- Added new routes and handlers for AI pipeline operations, including scraping documents, batch summarization, translation, and syncing with the Opplens AI service.
- Introduced request forms for handling tender references and batch operations.
- Enhanced the AI service with methods for triggering batch operations and managing pipeline runs.
- Updated Swagger documentation to reflect the new AI pipeline endpoints and their functionalities.
This update integrates comprehensive AI pipeline capabilities into the tender management system, improving operational efficiency and user experience.
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.
- 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.
- Updated feedback repository and service methods to use a consistent naming convention, changing `NewTenderRepository` and similar methods to `NewRepository`.
- Refactored feedback handler methods to improve clarity by renaming methods such as `ListFeedback` to `Search` and `GetFeedback` to `Get`.
- Enhanced feedback response structures to include detailed company and tender information, improving the clarity of feedback data returned to API consumers.
- Updated Swagger documentation to reflect changes in feedback response structures and endpoint paths, ensuring accurate representation of the API for consumers.
- Renamed and restructured tender-related API endpoints for improved clarity and consistency, including changing the route from `/admin/tenders` to `/admin/v1/companies` and updating the associated methods.
- Introduced a new SearchForm structure for listing tenders with advanced filtering capabilities, enhancing the API's search functionality.
- Updated the service and repository layers to align with the new endpoint structure, ensuring proper handling of tender data.
- Enhanced Swagger and YAML documentation to reflect the changes in endpoint structure, including detailed descriptions and examples for the new search functionality.
- Improved error handling and response structures to provide clearer feedback to API consumers, ensuring a more robust and user-friendly experience.
- Introduced a new search functionality for companies, allowing advanced filtering capabilities including tags, business criteria, and location.
- Updated the API documentation to reflect changes in the search endpoint, enhancing clarity for API consumers.
- Refactored existing company-related API endpoints for consistency, including renaming and restructuring routes.
- Enhanced response structures to return company entities directly, simplifying the response handling in API endpoints.
- Removed unused query parameters and handlers, streamlining the company management functionality.
- Changed references in API documentation from `main.HealthResponse` to `bootstrap.HealthResponse` for consistency.
- Added new query parameters `publication_from` and `publication_to` to the tender listing and recommendation endpoints to allow filtering by publication date.
- Updated the `ListTendersRequest` struct to include optional fields for `from` and `to` timestamps.
- Modified the `TenderRepository` and `TenderService` interfaces to support the new filtering parameters in the tender listing functionality.
- Enhanced the service and handler layers to process the new query parameters, improving the flexibility of tender retrieval.
- Updated the tender API to include a new endpoint for recommending public tenders based on company profiles, enhancing user experience for mobile application users.
- Modified existing routes to reflect the new structure, changing the tender details route and adding a dedicated recommendation route.
- Improved Swagger documentation to accurately represent the new endpoint, including detailed descriptions, parameters, and response formats.
- Ensured adherence to Clean Architecture principles by maintaining clear separation of concerns in the service and handler layers.
- Removed all scraping-related functionality, including routes, handlers, services, and repository methods, to streamline the tender management system.
- Updated the tender API to focus solely on tender management, enhancing endpoints for listing, retrieving, and updating tenders.
- Improved Swagger documentation to reflect the removal of scraping endpoints and the addition of new tender-related features.
- Ensured adherence to Clean Architecture principles throughout the refactoring process, maintaining a clear separation of concerns.
- Updated the tender service to include company-based matching for tenders, allowing for more relevant results based on company CPV codes.
- Modified the ListTenders endpoint to accept a company ID parameter for calculating match percentages and sorting tenders accordingly.
- Refactored the tender response structure to include match percentage and days until deadline for better client-side handling.
- Updated API documentation to reflect changes in the tender listing functionality and added new endpoints for public tender access.
- Removed deprecated customer-related methods and streamlined customer listing functionality for improved clarity and performance.
- Introduced a new TED scraper in `cmd/scraper` to handle downloading and parsing TED XML files.
- Added configuration management for the scraper, including a new `Config` struct and YAML configuration file.
- Created necessary handler, service, and repository layers for tender management, adhering to Clean Architecture principles.
- Implemented comprehensive logging and error handling throughout the scraper functionality.
- Updated API routes to include tender management operations, enhancing the overall system capabilities.
Mazyar