This update introduces an "Images" column in the ResultGrid component, displaying thumbnails that expand on hover using CSS zoom effects. Adjustments were made to styles and grid cell overflow to ensure proper rendering and interaction with zoomed images.
Upgraded multiple package versions, including `@esbuild` and dependencies like `@mui/x-data-grid-premium`. Adjusted `node` engine requirement to `>=18` for compatibility. This ensures modernization and alignment with current toolchain standards.
Simplified image rendering logic in `ResultGrid` by removing hover state management within JavaScript. Added `SampleImage.css` to handle hover effects for images and tooltips with scalable zoom. Cleaned up unnecessary comments and improved code readability.
Simplified image rendering logic in `ResultGrid` by removing hover state management within JavaScript. Added `SampleImage.css` to handle hover effects for images and tooltips with scalable zoom. Cleaned up unnecessary comments and improved code readability.
Simplified image rendering logic in `ResultGrid` by removing hover state management within JavaScript. Added `SampleImage.css` to handle hover effects for images and tooltips with scalable zoom. Cleaned up unnecessary comments and improved code readability.
Simplified image rendering logic in `ResultGrid` by removing hover state management within JavaScript. Added `SampleImage.css` to handle hover effects for images and tooltips with scalable zoom. Cleaned up unnecessary comments and improved code readability.
Enhanced the `SampleTracker` component to accept and utilize an `activePgroup` prop, allowing dynamic filtering of data based on the current project group. Adjusted related polling and data fetching logic to respond to changes in `activePgroup`. Removed excessive code from the test notebook for cleanup.
Introduced `ImageCreate` and `Image` models to handle image-related data in the backend. Improved the organization and readability of the testing notebook by consolidating and formatting code into distinct sections with markdown cells.
Introduced `ImageCreate` and `Image` models to handle image-related data in the backend. Improved the organization and readability of the testing notebook by consolidating and formatting code into distinct sections with markdown cells.
Introduced `ImageCreate` and `Image` models to handle image-related data in the backend. Improved the organization and readability of the testing notebook by consolidating and formatting code into distinct sections with markdown cells.
Introduced `ImageCreate` and `Image` models to handle image-related data in the backend. Improved the organization and readability of the testing notebook by consolidating and formatting code into distinct sections with markdown cells.
Introduced `ImageCreate` and `Image` models to handle image-related data in the backend. Improved the organization and readability of the testing notebook by consolidating and formatting code into distinct sections with markdown cells.
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.
Introduced a new `pgroups` attribute for dewars in the backend with schema and model updates. Modified the frontend to display `pgroups` as chips, integrate new visual icons for pucks and crystals, and enhance the UI/UX in `ShipmentDetails` and `DewarStepper` components. Added reusable SVG components for better modularity and design consistency.
Added `pgroups` to secure and associate data with specific permission groups. Updated backend routers, database models, and API endpoints to handle authorization based on `pgroups`. Adjusted frontend components and hooks to support `pgroups` in data fetching and management workflows.
Ensure `associatedPgroups` defaults to an empty array to avoid undefined behavior. Add non-editable pgroups input fields for new items and improve conditional rendering of pgroup chips in both views. Minor structural updates for consistency and clarity.
Replaced usage of "ContactPerson" with "Contact" for consistency across the codebase. Updated related component props, state variables, API calls, and database queries to align with the new model. Also enhanced backend functionality with stricter validations and added support for handling active pgroups in contact management.
Enhance app with active pgroup handling and token updates
Added active pgroup state management across the app for user-specific settings. Improved token handling with decoding, saving user data, and setting OpenAPI authorization. Updated components, API calls, and forms to support dynamic pgroup selection and user-specific features.
Introduced `mount_count` and `unmount_count` fields to track mounting events for samples. Updated models, schemas, and front-end components to support dynamic calculation and display of these counts. Enhanced backend queries and API responses to include the new data.
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.
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.
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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.
Added a 1-second polling interval to fetch the latest sample data, ensuring the UI remains updated with real-time progress. Cleaned up code formatting for readability and consistency. Improved `getSampleStatus` logic to better distinguish sample states.
Added a 1-second polling interval to fetch the latest sample data, ensuring the UI remains updated with real-time progress. Cleaned up code formatting for readability and consistency. Improved `getSampleStatus` logic to better distinguish sample states.
Updated puck_id type from str to int for better type consistency. Added a fallback value of -1 for pucks with missing dewar_id to prevent potential errors when querying pucks.
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.
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.
Simplify and standardize puck name normalization and validation. Refactor `set_tell_positions` to handle batch operations, improve error handling, and provide detailed responses for each puck. Removed unnecessary `with-tell-position` endpoint for better clarity and maintainability.
Reorganized and enhanced the OpenAPI fetch logic for better maintainability and error handling. Key updates include improved environment variable validation, more detailed error messages, streamlined configuration loading, and additional safety checks for file paths and directories. Added proper logging and ensured the process flow is easy to trace.
Reorganized and enhanced the OpenAPI fetch logic for better maintainability and error handling. Key updates include improved environment variable validation, more detailed error messages, streamlined configuration loading, and additional safety checks for file paths and directories. Added proper logging and ensured the process flow is easy to trace.
Reorganized and enhanced the OpenAPI fetch logic for better maintainability and error handling. Key updates include improved environment variable validation, more detailed error messages, streamlined configuration loading, and additional safety checks for file paths and directories. Added proper logging and ensured the process flow is easy to trace.
Reorganized and enhanced the OpenAPI fetch logic for better maintainability and error handling. Key updates include improved environment variable validation, more detailed error messages, streamlined configuration loading, and additional safety checks for file paths and directories. Added proper logging and ensured the process flow is easy to trace.
Reorganized and enhanced the OpenAPI fetch logic for better maintainability and error handling. Key updates include improved environment variable validation, more detailed error messages, streamlined configuration loading, and additional safety checks for file paths and directories. Added proper logging and ensured the process flow is easy to trace.
Reorganized and enhanced the OpenAPI fetch logic for better maintainability and error handling. Key updates include improved environment variable validation, more detailed error messages, streamlined configuration loading, and additional safety checks for file paths and directories. Added proper logging and ensured the process flow is easy to trace.
Reorganized and enhanced the OpenAPI fetch logic for better maintainability and error handling. Key updates include improved environment variable validation, more detailed error messages, streamlined configuration loading, and additional safety checks for file paths and directories. Added proper logging and ensured the process flow is easy to trace.
Reorganized and enhanced the OpenAPI fetch logic for better maintainability and error handling. Key updates include improved environment variable validation, more detailed error messages, streamlined configuration loading, and additional safety checks for file paths and directories. Added proper logging and ensured the process flow is easy to trace.
