- Introduced a mutex to ensure only one TED scraper run executes at a time, preventing concurrent executions during startup and scheduled runs.
- Implemented a mechanism to check if today's TED scrape has already been completed during startup, logging appropriate messages for both completed and new runs.
- Added startup catch-up logic for tender translations and unprocessed notices, ensuring that any missed tasks are executed without blocking the application startup.
This update improves the reliability and efficiency of the TED scraper and worker processes, ensuring that all necessary tasks are completed after a server restart.
- Updated the InitTEDScraper function to return a scheduler instance, allowing for better error handling during initialization.
- Added error logging for failed scheduler initialization and job scheduling, improving robustness.
- Implemented graceful shutdown for the scheduler in the main function, ensuring proper resource management during application termination.
- Added command line flags for specifying a date range and a one-time scraping mode in the scraper's main function.
- Implemented validation for the date inputs to ensure both dates are provided and correctly formatted.
- Introduced a new RunOneTimeScraping function to handle the one-time scraping logic, including context management and error handling.
- Updated the TED scraper initialization to support both scheduled and one-time scraping modes, improving flexibility in data retrieval.
- Enhanced logging to provide clear feedback on the scraping process and any errors encountered.
- Introduced AlertMail configuration in both scraper and worker bootstrap files, allowing for customizable email notifications.
- Updated the TED scraper to utilize the AlertMail configuration for sending completion notifications, improving flexibility in notification management.
- Enhanced error logging in the worker's main function to capture issues when listing Ollama models, ensuring better visibility into potential failures.
- Refactored notification sending logic to check for a valid AlertMail before dispatching emails, ensuring notifications are only sent when configured.
- Improved overall structure and readability of the bootstrap configuration files, aligning with best practices for maintainability.
- 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 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.
- Deleted the TED XML parser and scraper implementation files, including parser.go, scraper.go, and ted.go, to streamline the codebase and eliminate unused components.
- Commented out the initialization code in main.go to prevent execution while maintaining the structure for future reference.
- Removed the README.md for the TED package, which contained documentation for the now-deleted parser and scraper functionalities.
- 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.
- Added a new Dockerfile for the scraper application located at cmd/scraper/Dockerfile to streamline the build process.
- Updated the CI configuration in .drone.yml to correctly build the scraper application with the new Dockerfile.
- Refactored the main application entry point to utilize a new bootstrap package for configuration, logging, and MongoDB initialization.
- Enhanced the scraper's configuration management by defining a dedicated Config struct for better organization and maintainability.
Mazyar