Introduce new endpoint and model for managing beamtimes, including shifts and user-specific access. Updated test scripts and data to reflect beamtime integration, along with minor fixes for job status enumeration and example notebook refinement.
Updated job type to reference `experiment.type` in `processing.py` for accurate data handling. Cleaned up and streamlined `testfunctions.ipynb` by removing outdated and redundant code, improving readability and usability.
This commit introduces a new 'type' field in the ExperimentParametersModel schema and updates the associated code in `sample.py` to include this field during object creation. Additionally, unnecessary lines and redundant code in `testfunctions.ipynb` have been removed for better readability and maintainability.
Enhanced the models with new fields: a dataset field for Experiment Parameters and a slurm_id for Jobs. Introduced a FAILED status for the JobStatus enum. Updated functionality to handle datasets and trigger job creation based on dataset status.
Updated the job model to include `sample_id` and `run_id` fields, replacing `experiment_parameters_id`. Adjusted relationships and modified routers to reflect these changes. Added an endpoint for updating job status and restructured job streaming logic to include detailed experiment and sample data.
Updated the `JobModel` with foreign key relationships and string-based status to enhance database consistency, and improved job event streaming by using `jsonable_encoder` for better serialization. Also, streamlined dependencies by adding `urllib3` to handle HTTP requests.
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
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.
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 new fields and enriched data representations in DewarStatusTab, backend schemas, and APIs to improve dewar tracking and management. Introduced new API endpoint `/dewar/table` for simplified data rendering. Applied logging and validations for missing relationships.
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.
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.
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.
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.
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 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.
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.
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.
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.
