Updated several frontend dependencies including MUI packages and added new ones like `@mui/x-charts`. Adjusted the Python path setup in the CI configuration to correctly point to the `aaredb` backend, ensuring accurate module resolution.

Updated several frontend dependencies including MUI packages and added new ones like `@mui/x-charts`. Adjusted the Python path setup in the CI configuration to correctly point to the `aaredb` backend, ensuring accurate module resolution.

Revised backend schema definitions, removing unnecessary attributes and adding new configurations. Updated file path references to align with the aaredb structure. Cleaned up redundant notebook content and commented out unused database regeneration logic in the backend.

Added posting a result to the database

Introduced Dockerfiles for logistics and frontend applications to streamline development and deployment. Updated package dependencies in the frontend to newer versions for improved stability and compatibility.

Standardized event types with stricter validation using `Literal`. Adjusted related data and logic to align with new types, including changes to PGROUP assignments, event timeline increments, and schema updates. Cleaned up unused code and clarified database initialization behavior.

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.

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 a new `local_contact_router` to handle creation of local contacts. The endpoint enforces role-based access control and ensures no duplication of email addresses. Updated the router exports for consistency and cleaned up a large test file to improve readability.

Added a new `SetTellPositionRequest` schema in `schemas.py` to support bulk updates of TELL positions. Commented out redundant metadata operations in `main.py` and cleaned up unused content in the test notebook 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.

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.

Revised and optimized the `get_pucks_with_tell_position` endpoint to streamline logic and enhance clarity.

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.