Frontend sends nested address field names for sorting; accept them alongside the existing country and state aliases.
Co-authored-by: Cursor <cursoragent@cursor.com>
- 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.
Mazyar