You've already forked DataMate
* 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.
29 lines
660 B
Python
29 lines
660 B
Python
from .config import ConfigResponse
|
|
|
|
from .mapping import (
|
|
DatasetMappingCreateRequest,
|
|
DatasetMappingCreateResponse,
|
|
DatasetMappingUpdateRequest,
|
|
DatasetMappingResponse,
|
|
DeleteDatasetResponse,
|
|
)
|
|
|
|
from .sync import (
|
|
SyncDatasetRequest,
|
|
SyncDatasetResponse,
|
|
SyncAnnotationsRequest,
|
|
SyncAnnotationsResponse,
|
|
)
|
|
|
|
__all__ = [
|
|
"ConfigResponse",
|
|
"DatasetMappingCreateRequest",
|
|
"DatasetMappingCreateResponse",
|
|
"DatasetMappingUpdateRequest",
|
|
"DatasetMappingResponse",
|
|
"SyncDatasetRequest",
|
|
"SyncDatasetResponse",
|
|
"SyncAnnotationsRequest",
|
|
"SyncAnnotationsResponse",
|
|
"DeleteDatasetResponse",
|
|
] |