- 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.
- Refactored the NoticeWorker to generate unique tender IDs using the PBL naming convention (SCDYYNNN format) and project names based on client and opportunity details.
- Introduced methods for generating tender IDs and project names, including logic for extracting client and opportunity names, ensuring consistency and clarity in naming.
- Updated the Tender entity to include a new ProjectName field, enhancing the data structure for better project identification.
- Added MongoDB indexing for the new project_name field to optimize query performance.
- Improved error handling and logging during the tender ID generation process, ensuring robustness in the worker's functionality.
- Updated the tender repository to create a unique index on tender_id, enhancing database query performance.
- Introduced new TED mapping functions to convert parsed TED documents into tender entities, improving integration with the tender management system.
- Added error handling for contract notice processing in the TED scraper, ensuring robust logging and error management.
- Removed deprecated eform structures to streamline the codebase and focus on essential components.
- Updated the Tender entity to remove redundant comments on Unix timestamp fields, enhancing code readability.
- Renamed the AwardedEntity type to Awarded for improved clarity and consistency in naming conventions.
- Removed the transformPriorInformationNoticeToContractNotice method from TEDParser, streamlining the parser's functionality and reducing legacy code.
- Added new fields to the Tender entity for handling cancellation, award, and suspension details, improving the entity's capability to manage tender statuses.
- Implemented a DetectNoticeStatus method in the TEDParser to identify the status of TED notices from XML data, enhancing the parser's functionality.
- Updated the ParseXML method to include notice status detection, ensuring accurate status representation in parsed documents.
- Introduced upsert logic in the TED scraper to handle tender records more effectively, allowing for updates or creation based on existing ContractIDs.
- Enhanced logging and error handling throughout the scraping process to improve traceability and robustness.
- Added a comprehensive usage example document to illustrate the new features and usage patterns for the TED XML parser and scraper.
- Modified the ToResponse method in the Tender entity to create an OrganizationResponse instance for BuyerOrganization, ensuring safe access to its Name field.
- This change improves the robustness of the response structure by preventing potential nil dereference errors when BuyerOrganization is not set.
- 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.
- Updated the MongoDB driver from v1.17.4 to v2.3.0, ensuring compatibility with the latest features and improvements.
- Refactored company-related entity and repository files to utilize the new driver, replacing `primitive.ObjectID` with `bson.ObjectID` for ID handling.
- Adjusted the configuration in `.drone.yml` to include the `main` branch in the trigger settings, enhancing CI/CD pipeline flexibility.
Mazyar