Add duplicate detection for spreadsheet data processing
Implemented logic to detect and handle duplicate 'positioninpuck' entries within the same puck during spreadsheet processing. Updated backend to validate duplicates and provide detailed error messages. Enhanced frontend to visually highlight duplicate errors and allow better user feedback during cell editing.
```
Added logic to assign a default value of 1 to empty "priority" fields in the spreadsheet service. Adjusted the router to correctly track columns explicitly marked as defaulted.
Improved the backend's value cleaning to differentiate between corrections and defaults, logging metadata for clearer traceability. Updated frontend to display corrected/defaulted fields with visual cues and tooltips for better user feedback. Enhanced data models and response structures to support this richer metadata.
Enhanced value cleaning and validation for spreadsheet data with dynamic handling of columns and corrections. Improved feedback for users with detailed error messages and visual indicators for corrected or defaulted values. Simplified backend and frontend logic for better maintainability and usability.
Introduced a backend mapping for column expected types, improving validation and error handling. Updated UI to highlight default and corrected values, with additional detailed validation for data collection parameters.
Introduced a backend mapping for column expected types, improving validation and error handling. Updated UI to highlight default and corrected values, with additional detailed validation for data collection parameters.
Implemented a toggleable spreadsheet UI component for sample data, added fields such as priority and comments, and improved backend validation. Default values for "directory" are now assigned when missing, with feedback highlighted in green on the front end.
