- 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.
- Changed the default MinIO bucket name from "opplens-documents" to "opplens" across multiple configuration files.
- Introduced caching for dashboard statistics in the service layer to improve performance and reduce redundant data fetching.
- Implemented a mutex for thread-safe access to cached statistics, ensuring data integrity during concurrent requests.
This update streamlines the configuration for the AI summarizer and optimizes the dashboard service, enhancing overall system efficiency.
- 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.
- Added a new notification service to handle various notification types (email, SMS, push, OTP).
- Implemented configuration for the notification service, allowing customization via environment variables.
- Updated user and customer services to utilize the notification service for sending welcome emails and status updates.
- Introduced a builder pattern for constructing notification requests, enhancing usability and flexibility.
- Enhanced error handling and logging for notification operations, ensuring robust service integration.
- Updated documentation to include usage examples and configuration details for the new notification SDK.
- Removed YAML configuration files for the scraper and web commands, transitioning to an environment-based configuration system.
- Updated configuration structs to utilize `env` tags for loading values from `.env` files, enhancing security and flexibility.
- Implemented reflection-based parsing for environment variables, ensuring type-safe configuration loading.
- Revised documentation to reflect the new configuration approach, including usage examples and best practices for environment variable naming conventions.
- Introduced multiple SVG flag assets to the project, enhancing the visual representation of country flags.
- Updated the configuration file to include a new path for the flags assets, ensuring proper access and organization.
- Modified the main application to accommodate the new flags path, improving the overall asset management in the application.
- Updated the CI configuration in .drone.yml to use the new Dockerfile located at ./cmd/web/Dockerfile.
- Removed the old Dockerfile and Dockerfile-drone as they are no longer needed.
- Refactored the cmd/web/Dockerfile to streamline the build process and improve organization.
- Introduced a new bootstrap package to handle application initialization, including configuration, logging, MongoDB, Redis, and authorization service setup.
- Added a health check endpoint for monitoring the server status, enhancing the API's operational capabilities.
Mazyar