* fix(chart): update Helm chart helpers and values for improved configuration
* feat(SynthesisTaskTab): enhance task table with tooltip support and improved column widths
* feat(CreateTask, SynthFileTask): improve task creation and detail view with enhanced payload handling and UI updates
* feat(SynthFileTask): enhance file display with progress tracking and delete action
* feat(SynthFileTask): enhance file display with progress tracking and delete action
* feat(SynthDataDetail): add delete action for chunks with confirmation prompt
* feat(SynthDataDetail): update edit and delete buttons to icon-only format
* feat(SynthDataDetail): add confirmation modals for chunk and synthesis data deletion
* feat(chart): add Helm chart for deploying Label Studio with PostgreSQL
* feat(milvus): update Milvus configuration to use URI and remove deprecated host/port settings
* feat: Implement data synthesis task management with database models and API endpoints
* feat: Update Python version requirements and refine dependency constraints in configuration
* fix: Correctly extract file values from selectedFilesMap in AddDataDialog
* feat: Refactor synthesis task routes and enhance file task management in the API
* feat: Enhance SynthesisTaskTab with tooltip actions and add chunk data retrieval in API
* feat: Enhance annotation module with template management and validation
- Added DatasetMappingCreateRequest and DatasetMappingUpdateRequest schemas to handle dataset mapping requests with camelCase and snake_case support.
- Introduced Annotation Template schemas including CreateAnnotationTemplateRequest, UpdateAnnotationTemplateRequest, and AnnotationTemplateResponse for managing annotation templates.
- Implemented AnnotationTemplateService for creating, updating, retrieving, and deleting annotation templates, including validation of configurations and XML generation.
- Added utility class LabelStudioConfigValidator for validating Label Studio configurations and XML formats.
- Updated database schema for annotation templates and labeling projects to include new fields and constraints.
- Seeded initial annotation templates for various use cases including image classification, object detection, and text classification.
* feat: Enhance TemplateForm with improved validation and dynamic field rendering; update LabelStudio config validation for camelCase support
* feat: Update docker-compose.yml to mark datamate dataset volume and network as external
* 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.
* fix: Update port mapping for label studio and adjust base URL in DataAnnotation component
* Enhance CleaningTaskService to track cleaning process progress and update ExecutorType to DATAMATE
* Refactor project to use 'datamate' naming convention for services and configurations
