Introduced a new Jupyter Notebook with API usage examples for managing pucks and samples. Refactored puck retrieval logic to include the latest event type and `tell_position`, improving data accuracy. Updated backend version to 0.1.0a16 accordingly.
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.
Revised the set_tell_positions endpoint to handle updated business rules for puck positioning. Improved event handling to ensure proper nullification, updates, and removal of tell_positions based on the provided payload. Enhanced query performance and normalized puck name processing for consistency.
Revised the set_tell_positions endpoint to handle updated business rules for puck positioning. Improved event handling to ensure proper nullification, updates, and removal of tell_positions based on the provided payload. Enhanced query performance and normalized puck name processing for consistency.
Revised the set_tell_positions endpoint to handle updated business rules for puck positioning. Improved event handling to ensure proper nullification, updates, and removal of tell_positions based on the provided payload. Enhanced query performance and normalized puck name processing for consistency.
Revised the set_tell_positions endpoint to handle updated business rules for puck positioning. Improved event handling to ensure proper nullification, updates, and removal of tell_positions based on the provided payload. Enhanced query performance and normalized puck name processing for consistency.
Refactored puck updating logic to use Pydantic models for validation and normalization. Added a new endpoint to retrieve all pucks with a tell_position and their associated samples. Updated project version to 0.1.0a11 in pyproject.toml.
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.
Updated slot styling for improved user feedback and responsiveness. Simplified LN2 representation with a new level bar and adjusted refill logic to a 48-hour interval. Removed unused functions for cleaner backend code.
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.
Refactored tell position logic to use `segment` and `puck_in_segment` fields, replacing the previous single `tell_position` field. Introduced a new `/set-tell-positions` endpoint for setting tell positions based on these changes and removed the deprecated endpoint handling the old logic. Enhanced validation and streamlined handling of related logistics and puck events.
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.
Refactored database and server configuration to handle environments (dev, test, prod) explicitly, including tailored database setup and SSL management. Separated slot and sample data loading for better control during initialization. Improved environment variable usage and error handling for production certificates.
