Simplified and unified beamtime assignment handling for pucks and samples in the backend. Enhanced the frontend to display detailed assignment state, including shift, date, and beamline, for both pucks and dewars. This ensures consistent and accurate state management across the application.
Implemented API endpoints and frontend logic to assign/unassign beamtime to dewars and pucks. Enhanced schemas, models, and styles while refactoring related frontend components for better user experience and data handling.
Updated Dewar API methods to use protected endpoints for enhanced security and consistency. Added `pgroups` handling in various frontend components and modified the LogisticsView contact field for clarity. Simplified backend router imports for better readability.
Updated Dewar API methods to use protected endpoints for enhanced security and consistency. Added `pgroups` handling in various frontend components and modified the LogisticsView contact field for clarity. Simplified backend router imports for better readability.
Upgraded multiple dependencies across Babel, Emotion, ESLint, and DevExpress packages in `package-lock.json` to their latest versions. These updates ensure compatibility, fix minor issues, and improve overall performance and security.
Updated the `number_of_pucks` and `number_of_samples` fields in the `schemas.py` to be optional for greater flexibility. Simplified the test Jupyter Notebook by restructuring imports and consolidating function calls for better readability and maintainability.
Added validation to prevent deletion of shipments, dewars, pucks, or samples if they have associated events. Updated frontend components to handle and display error messages based on API responses for improved user feedback.
Updated Dewar and Sample schemas, added nested relationships, and adjusted API responses for better data handling. Simplified puck normalization, enhanced data grid logic in the frontend, and implemented a PUT endpoint for updating samples. Incremented backend version to 0.1.0a15 and added new HTTP request example.
Integrated additional sample parameters into backend and frontend for enhanced data collection. Updated pyproject version to reflect these changes. This improves user interface flexibility and enriches displayed sample metadata.
Introduced serialization for `data_collection_parameters` in backend models and processing. Added logic to parse and attach data collection parameters in the frontend. This ensures consistent handling and storage of these parameters throughout the application.
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.
