- Added handling for unique and nullable column toggles in TableManagementPage, allowing for better column configuration.
- Updated ExcelUploadModal to include depth and ancestors in valid options for category values, enhancing the categorization process.
- Improved user feedback in ExcelUploadModal by clarifying success messages and ensuring proper handling of duplicate actions.
- Refactored category value flattening logic to maintain depth and ancestor information, improving data structure for better usability.
These enhancements aim to provide users with a more flexible and intuitive experience when managing table configurations and uploading Excel data.
- Added category validation functionality to both ExcelUploadModal and MultiTableExcelUploadModal components, allowing for the detection of invalid category values in uploaded Excel data.
- Implemented state management for category validation, including tracking mismatches and user interactions for replacements.
- Updated the handleNext function to incorporate category validation checks before proceeding to the next step in the upload process.
- Enhanced user feedback with toast notifications for category replacements and validation errors.
These changes significantly improve the robustness of the Excel upload process by ensuring data integrity and providing users with clear guidance on category-related issues.
- Implemented new API endpoints for multi-table Excel upload and auto-detection of table chains.
- The GET endpoint `/api/data/multi-table/auto-detect` allows automatic detection of foreign key relationships based on the provided root table.
- The POST endpoint `/api/data/multi-table/upload` handles the upload of multi-table data, including validation and logging of the upload process.
- Updated the frontend to include options for multi-table Excel upload in the button configuration panel and integrated the corresponding action handler.
This feature enhances the data management capabilities by allowing users to upload and manage data across multiple related tables efficiently.
kjs