* feat: Refactor configuration and sync logic for improved dataset handling and logging
* feat: Enhance annotation synchronization and dataset file management
- Added new fields `tags_updated_at` to `DatasetFiles` model for tracking the last update time of tags.
- Implemented new asynchronous methods in the Label Studio client for fetching, creating, updating, and deleting task annotations.
- Introduced bidirectional synchronization for annotations between DataMate and Label Studio, allowing for flexible data management.
- Updated sync service to handle annotation conflicts based on timestamps, ensuring data integrity during synchronization.
- Enhanced dataset file response model to include tags and their update timestamps.
- Modified database initialization script to create a new column for `tags_updated_at` in the dataset files table.
- Updated requirements to ensure compatibility with the latest dependencies.
* refactor: remove db table management from LS adapter (mv to scripts later); change adapter to use the same MySQL DB as other modules.
* refactor: Rename LS Adapter module to datamate-python
