feat: File and Annotation 2-way sync implementation (#63)

* 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.

runtime/datamate-python/app/db/models/dataset_management.py

@@ -64,6 +64,7 @@ class DatasetFiles(Base):
     file_size = Column(BigInteger, default=0, comment="文件大小(字节)")
     check_sum = Column(String(64), nullable=True, comment="文件校验和")
     tags = Column(JSON, nullable=True, comment="文件标签信息")
+    tags_updated_at = Column(TIMESTAMP, nullable=True, comment="标签最后更新时间")
     dataset_filemetadata = Column("metadata", JSON, nullable=True, comment="文件元数据")
     status = Column(String(50), default='ACTIVE', comment="文件状态：ACTIVE/DELETED/PROCESSING")
     upload_time = Column(TIMESTAMP, server_default=func.current_timestamp(), comment="上传时间")