- Introduced a new `auditlog` package to handle audit logging for user actions, including creation, updates, deletions, and authentication events.
- Enhanced existing services (customer, user) to log relevant actions using the new audit logger, capturing details such as actor ID, action type, target type, and success status.
- Added middleware to enrich request context with metadata for audit logging, ensuring comprehensive tracking of user interactions.
- Integrated Elasticsearch for persistent storage of audit logs, with fallback to file-only logging if Elasticsearch is unavailable.
- Updated API documentation to include new audit log endpoints for administrative access.
This update significantly improves the system's ability to track and audit user actions, enhancing security and accountability within the application.
- 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.
- 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.
- Added a new notification domain, including entities, services, handlers, and repositories to manage notifications effectively.
- Implemented CRUD operations for notifications, allowing for creation, retrieval, updating, and deletion of notifications via the API.
- Enhanced API documentation with Swagger comments for new notification endpoints, ensuring clarity for API consumers.
- Updated routes to include notification management, improving administrative capabilities within the web panel.
- Introduced validation for notification requests and responses, ensuring data integrity and proper error handling.
- Updated the go.mod file to include the latest version of the go-redis library, ensuring compatibility with the notification service.
- 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.
- Deleted the `github.com/google/uuid` dependency from `go.mod` to streamline the project and reduce unnecessary dependencies.
- Updated `go.sum` to reflect the removal of the UUID package.
- Enhanced the overall module management by ensuring only necessary dependencies are included.
- Updated cursor rules to emphasize the importance of dependency injection and logging practices.
- Introduced a new user management domain, including entities, services, handlers, and validation.
- Implemented user authentication features such as login, registration, and role-based access control.
- Added Redis integration for token management and caching.
- Enhanced API documentation with Swagger for user-related endpoints.
- Updated configuration to support new JWT settings and Redis connection parameters.
- Introduced a new `config.yaml` file for managing server, database, cache, queue, AI, scraping, logging, and rate limiting configurations.
- Updated `docker-compose.yml` to reflect the new server port (8081) and adjusted health check endpoints accordingly.
- Modified `Dockerfile` to expose the new server port.
- Updated `README.md` to reflect changes in server configuration and added documentation for the new configuration structure.
- Added test scripts for server and Swagger documentation testing.
- Refactored customer domain structure to align with new configuration settings and improve maintainability.
Mazyar