Updated relationships for beamtime in models to support many-to-many associations with pucks, samples, and dewars. Refactored API endpoints to accommodate these changes, ensuring accurate assignment and retrieval of data. Improved sample data generation logic and incremented the application version for the new updates.
Introduced endpoints to fetch pucks, dewars, and samples by beamtime ID. Updated backend logic to ensure consistency between dewars, pucks, and samples assignments. Enhanced frontend to display and handle beamline-specific associations dynamically.
This commit adds relationships to link Pucks and Samples to Beamtime in the models, enabling better data association. Includes changes to assign beamtime IDs during data generation and updates in API response models for improved data loading. Removed redundant code in testfunctions.ipynb to clean up the notebook.
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.
Added `type` to experiment runs in `sample.py` and improved filtering in `processing.py` to match experiments by both `sample_id` and `run_id`. Removed extensive unnecessary code in `testfunctions.ipynb` for clarity and maintenance.
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.
Introduced a `processing` router to handle job streaming using server-sent events. Added `Jobs` and `JobStatus` models for managing job-related data, along with database creation logic. Updated the `sample` router to create new job entries during experiment creation.
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.
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.
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.
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 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.
Replaced direct return of `last_event` with an explicit construction of `SampleEventResponse`. This ensures clarity and better adherence to the response schema.
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`.
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.
