- Introduced a comprehensive MinIO package for managing object storage, including support for hierarchical document storage and general file management.
- Implemented core components such as Config, ConnectionManager, and Service, following Clean Architecture principles.
- Added functionality for file uploads, downloads, bucket management, and structured logging, enhancing usability and maintainability.
- Included detailed error handling and validation for configuration and operations, ensuring robustness.
- Updated documentation with usage examples and configuration guidelines to facilitate integration and understanding of the package's functionality.
- Updated the worker initialization process to include the new GLM SDK, enhancing the worker's capabilities for translation tasks.
- Modified the InitWorker function and NewNoticeWorker constructor to accept the GLM service, ensuring a cohesive integration.
- Implemented the GLM service initialization and logging for successful setup, improving maintainability and usability.
- Updated the NoticeWorker to utilize the GLM SDK for translating notice titles and descriptions, enhancing functionality and user experience.
- Introduced a new GLM SDK for interacting with the GLM (Zhipu AI) API, designed for chat completions and text generation tasks.
- Implemented core components including Client, Service, and SDK layers following Clean Architecture principles.
- Added configuration management, error handling, and structured logging for improved usability and maintainability.
- Included comprehensive documentation and usage examples to facilitate integration and understanding of the SDK's functionality.
- Enhanced the API with features such as chat completion, streaming responses, and model management, ensuring robust interaction with the GLM service.
- Added 'image' and 'link' fields to the NotificationRequest and NotificationResponse structures, improving the flexibility of notification content.
- Updated the 'created_at', 'updated_at', and 'schedule_at' fields to use integer types for Unix timestamps, ensuring consistency in time handling.
- Expanded the tender status enumeration to include 'closed', 'modified', 'suspended', and 'published', enhancing the representation of tender states.
- Reflected these changes in the Swagger documentation, ensuring accurate API specifications for clients.
- Replaced the tender repository with a new notice repository, encapsulating notice-related data access methods.
- Introduced the Notice entity to represent tender/contract notices, including relevant fields and methods for managing notice data.
- Updated the TED scraper to utilize the new notice repository for creating and managing notices, enhancing the integration with the tender management system.
- Implemented Ollama SDK initialization in the web bootstrap process, allowing for improved AI interactions.
- Enhanced the tender service to include Ollama SDK for additional functionality, ensuring a more robust service layer.
- Introduced the Ollama SDK, providing a comprehensive interface for interacting with Ollama AI models, including text generation, chat conversations, embeddings, and model management.
- Implemented core components such as Client, Config, and various request/response entities to facilitate API interactions.
- Added structured error handling with specific error types for improved clarity and debugging.
- Included a README and usage guide to assist developers in integrating the SDK into their applications, ensuring a smooth onboarding experience.
- Established a fluent API for chat interactions and streaming responses, enhancing usability and flexibility for developers.
- Introduced a new configuration file for the TED scraper, defining database connection settings, logging preferences, and scraping parameters.
- Implemented a CronScheduler to manage scheduled tasks for TED operations, utilizing the robfig/cron library for scheduling.
- Added new entities and structures for handling TED XML data, including eForms and tender-related information, enhancing the scraper's functionality.
- Updated the main application to initialize the TED scraper with the new configuration and set up graceful shutdown handling.
- Removed the deprecated scraping implementation to streamline the codebase and focus on the new architecture.
- Modified the route for marking notifications as seen to ensure a consistent and clear API structure.
- Updated the notification client to reflect the new endpoint path for marking all notifications as seen, enhancing clarity for API consumers.
- These changes improve the overall usability and maintainability of the notification API.
- Introduced the AllMarkSeen method in the notification service to mark all notifications as seen for a user, enhancing user experience by allowing bulk actions on notifications.
- Implemented the PublicAllMarkSeen handler to handle HTTP requests for marking all notifications as seen, ensuring proper request validation and response handling.
- Updated the notification client and SDK to support the new AllMarkSeen functionality, improving the overall API capabilities.
- Enhanced API documentation with Swagger comments for the new endpoint, ensuring clarity for API consumers.
- Introduced new optional fields in the SearchForm for filtering notifications by 'seen' status and 'priority', enhancing the flexibility of notification retrieval.
- Updated the GetNotifications method in the notification service to accommodate the new filters, ensuring they are included in the query parameters.
- Enhanced the notification client to support the new filters in API requests, improving the overall functionality of the notification system.
- Updated API documentation with Swagger comments to reflect the new query parameters, ensuring clarity for API consumers.
- Added new endpoints for marking notifications as seen and retrieving detailed notification information for both admin and user contexts, improving the flexibility of the notification system.
- Implemented the MarkSeen and ViewNotification methods in the NotificationHandler, ensuring proper handling of notification visibility and details retrieval.
- Updated the NotificationService interface to include methods for getting notification details and marking notifications as seen, enhancing service capabilities.
- Enhanced the notification response structures to include additional fields such as Image, Seen, and ScheduledAt, providing richer data in API responses.
- Updated API documentation with Swagger comments for the new endpoints and response formats, ensuring clarity for API consumers.
- Implemented the MarkSeen method in the notification client to mark notifications as seen, enhancing user interaction with notifications.
- Added MarkSeenRequest and MarkSeenResponse structs to facilitate the request and response handling for marking notifications.
- Updated the NotificationService interface to include the new MarkSeen method, ensuring consistency across the service layer.
- Enhanced the SDK with a QuickMarkSeen convenience method for easier usage in client applications.
- Included logging for successful and failed attempts to mark notifications as seen, improving traceability and debugging capabilities.
- Added new endpoints for retrieving notifications for both admins and users, improving the flexibility of the notification system.
- Implemented query parameters for filtering notifications by status, method, event type, type, and recipient, enhancing usability.
- Introduced new response structures for notifications, including pagination information, to provide better data handling in API responses.
- Updated API documentation with Swagger comments for the new endpoints and response formats, ensuring clarity for API consumers.
- Refactored notification handling logic to support the new features, promoting a more robust notification management system.
- Updated the notification handling logic to utilize a new SDK for sending notifications, improving the flexibility and scalability of the notification system.
- Introduced new methods in the notification service for sending notifications to users and customers based on various target audience types, enhancing the notification delivery capabilities.
- Added a new endpoint to assign companies to a customer, improving customer management functionalities.
- Refactored the customer entity and forms to replace 'CompanyIDs' with 'Companies', ensuring consistency across the data model.
- Enhanced API documentation with Swagger comments for the new endpoint and updated notification structures, ensuring clarity for API consumers.
Mazyar