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.
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.
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.
Introduced `/samples/{sample_id}/upload-images` API for uploading images tied to samples, validating file types, and saving them in structured directories. Fixed `puck_location_in_dewar` type handling in puck routes. Updated project version in `pyproject.toml`.
Refactor `testfunctions.ipynb` by standardizing API client code blocks and improving structure with `%` cells. Added PUT calls for updating TELL positions and GET requests for fetching pucks. Updated `pyproject.toml` to increment version to 0.1.0a18.
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.
