- Removed the `RecommendationPageCacheLanguages` configuration from `AISummarizerConfig` to streamline cache management.
- Updated the `companyService` and `tenderService` to utilize the new `InvalidateRecommendedTendersPageCache` method for cache invalidation, enhancing clarity and efficiency.
- Refactored the `invalidateRecommendedTendersPageCache` method to eliminate unnecessary context parameters, simplifying the function signature.
- Improved the handling of page cache refresh logic by consolidating language handling within the `tenderService`, ensuring consistent behavior across services.
- Cleaned up related tests and removed deprecated functions to maintain code quality and readability.
This update enhances the maintainability of the recommendation caching system by simplifying configuration and improving cache invalidation logic.
- Introduced a new `RecommendedTendersPageCacheRefresher` interface to manage the asynchronous refresh of recommendation pages in Redis, improving cache management.
- Updated the `companyService` to support setting page cache languages and refreshing the recommended tenders page cache based on company IDs.
- Enhanced the `tenderService` to build and invalidate recommended tenders page caches, ensuring timely updates and efficient retrieval of cached recommendations.
- Added configuration options for recommendation page cache languages in the `AISummarizerConfig`, allowing for flexible language support.
- Implemented unit tests for the new caching logic and page refresh functionality, ensuring robust validation of the recommendation caching process.
This update significantly improves the efficiency and responsiveness of the tender recommendation service by integrating enhanced caching mechanisms and page refresh capabilities.
- Updated the company service to include a new method for scheduling the refresh of cached AI recommendations after the AI pipeline execution.
- Introduced a new interface for managing cached recommendation refreshes, improving the separation of concerns within the service layer.
- Enhanced the worker initialization to include Redis client support, allowing for better management of recommendation caching.
- Added functionality to list company IDs with existing recommendation caches, ensuring efficient updates post-pipeline runs.
- Implemented unit tests to validate the new recommendation refresh logic and ensure proper handling of various scenarios.
This update significantly improves the handling of AI recommendations by integrating caching mechanisms with the AI pipeline, enhancing overall system performance and responsiveness.
- Introduced the ability to append external links to company profiles through a new API endpoint.
- Enhanced the `Company` entity to include a `Links` field for storing external resource links.
- Created `AddLinksForm` for validating incoming link data and implemented corresponding logic in the service layer.
- Added error handling for link validation, ensuring only valid URLs are accepted and limiting the number of links to 20.
- Implemented unit tests for link management functions, including sanitization and merging of links.
- Updated relevant API documentation to reflect the new functionality.
This update significantly enhances the company management capabilities by allowing the addition of external links, improving the overall user experience and data richness in company profiles.
- Added functionality to retrieve merged AI recommendations for multiple companies, improving the relevance of tender suggestions based on company-specific data.
- Introduced normalization functions to clean and deduplicate company IDs, ensuring accurate processing of recommendations.
- Enhanced the company context resolution in customer middleware to support multiple assigned companies, improving the handling of company-specific requests.
- Updated the tender recommendation logic to utilize the new merged recommendations and handle exclusions for rejected tenders accordingly.
- Added unit tests to verify the new recommendation merging logic and company ID normalization, ensuring robust functionality.
This update significantly enhances the tender recommendation process by allowing for more comprehensive and relevant suggestions based on multiple company contexts, improving user experience and satisfaction.
- Modified CompanyForm fields (RegistrationNumber, TaxID, Industry) to be optional, allowing for more flexible company creation.
- Updated the Create method in company service to check for existing companies by registration number and tax ID only if provided, improving error handling and user experience during company creation.
This update enhances the company creation process by allowing optional fields while ensuring that existing company checks are performed only when necessary.
- Updated the `companyService` to include Redis caching for AI recommendations, improving performance and reducing redundant AI calls.
- Introduced asynchronous AI onboarding triggered after company profile updates, enhancing user experience by offloading processing.
- Added configuration for recommendation cache TTL in the `AISummarizerConfig`, allowing for flexible cache management.
- Implemented methods for caching, retrieving, and invalidating AI recommendations in the `companyService`, ensuring efficient data handling.
This update enhances the company's AI recommendation capabilities, providing faster responses and a more efficient onboarding process.
- Updated the `UploadDocuments` method to sanitize document file IDs before saving, ensuring only valid references are stored.
- Introduced `DetachDocumentFileID` method in the `companyService` to remove file IDs from all companies referencing a deleted file, improving data integrity.
- Enhanced the `companyRepository` with a new method to handle the removal of document file IDs from the database.
- Updated the `filestore` handler to utilize the new detachment functionality when files are deleted, ensuring consistent state across domain entities.
This update improves the management of document file IDs within the company domain, enhancing data integrity and reference handling.
- Added new AI onboarding and recommendation endpoints in the company handler for starting onboarding and retrieving ranked tender recommendations.
- Introduced `StartAIOnboarding` and `GetAIRecommendations` methods in the company service to handle AI interactions.
- Updated the company service constructor to include the AI recommendation client.
- Enhanced the AI summarizer client with methods for onboarding and fetching recommendations.
- Added response structures for onboarding and recommended tenders in the company form.
This update enhances the tender management system by integrating AI capabilities for onboarding and tender recommendations, improving user experience and operational efficiency.
- 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 Company service to include category validation during creation and updates, ensuring that only valid categories are associated with companies.
- Introduced a new CategoryResponse structure to encapsulate category details in API responses, improving the clarity of the data returned.
- Enhanced the CompanyResponse structure to include category details, providing more comprehensive information in API responses.
- Updated Swagger and YAML documentation to reflect the new category integration, including detailed descriptions and examples for the updated response structures.
- Improved error handling for invalid category data during company creation and updates, enhancing the robustness of the API.
- Refactored existing API handlers to accommodate the new category-related changes, ensuring a seamless user experience across the application.
- 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.
- Deleted the `/admin/v1/customers/{id}/with-companies` endpoint from the API documentation and Swagger files to streamline the API structure.
- Updated the router to remove the corresponding route registration for the deprecated endpoint.
- Enhanced the company repository and service to support batch retrieval of companies by IDs, improving efficiency in data handling.
- Adjusted customer service methods to utilize the new batch retrieval functionality for loading companies associated with customers.
- Improved logging practices to provide better traceability for company retrieval operations.
- Removed OwnerCustomerID from Company entity and CompanyResponse to streamline ownership representation.
- Eliminated customer assignment fields from CreateCompanyForm and ListCompaniesForm for clarity.
- Updated repository and service methods to remove GetByCustomerID and CountWithCustomer, simplifying the codebase.
- Adjusted Search method parameters to exclude hasCustomer filter, enhancing search functionality.
- Improved API documentation by removing references to customer assignment in handler comments.
- Changed tags from "Customers-Mobile" to "Customers-Authorization" in Swagger documentation for customer logout and profile retrieval endpoints.
- Updated the Company entity to replace CustomerID with OwnerCustomerID to better represent ownership.
- Removed obsolete customer assignment methods and related forms from the company domain, streamlining the codebase.
- Adjusted customer forms to include CompanyID instead of CompanyName for better consistency in customer management.
- Enhanced Swagger documentation to accurately reflect the new structure and authorization details for customer-related endpoints.
- Introduced a new company management domain, including entities, services, handlers, and forms for company operations.
- Implemented CRUD functionality for companies, allowing for creation, retrieval, updating, and deletion of company records.
- Enhanced API endpoints for company management, including search and filtering capabilities based on various criteria.
- Integrated JWT-based user authorization for company management operations.
- Updated Swagger documentation to include new company-related endpoints and detailed request/response structures.
- Established MongoDB ORM integration for efficient data handling and repository management.
- Added comprehensive validation rules for company forms to ensure data integrity and consistency.
- Implemented logging for key operations within the company service and repository for better traceability.
Mazyar