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.
This change introduces a fallback mechanism for development environments, allowing authentication to simulate a user from a local file named "user" when not found in the mock database. The file must include a username on the first line and a space-delimited list of pgroups on the second line. This enhancement helps streamline development workflows while maintaining error handling for missing or malformed files.
This change introduces a fallback mechanism for development environments, allowing authentication to simulate a user from a local file named "user" when not found in the mock database. The file must include a username on the first line and a space-delimited list of pgroups on the second line. This enhancement helps streamline development workflows while maintaining error handling for missing or malformed files.
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.
Updated puck event queries to improve robustness and ensure distinct results. Introduced filtering by `tell` in specific API endpoints and added validation for `tell` values. Incremented project version to 0.1.0a21 to reflect API changes.
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.
Replaces the previous query logic with a subquery to find the latest logistics event for each dewar. Ensures that only dewars with the most recent "beamline" event are retrieved, improving query accuracy and clarity.
Updated `datetime.utcnow()` to `datetime.now()` to align with local timezone handling. Corrected the order of unpacked variables in the loop to match the structure of `pucks_with_latest_events`.
Updated `datetime.utcnow()` to `datetime.now()` to align with local timezone handling. Corrected the order of unpacked variables in the loop to match the structure of `pucks_with_latest_events`.
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.
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.
Renamed "Retrieved Timestamp" to "Last Event" for clarity in the UI. Improved backend logic to handle dewar events, including associating refill events with specific slots and retrieving the last slot ID for new events.
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.
Added validation to prevent deletion of shipments, dewars, pucks, or samples if they have associated events. Updated frontend components to handle and display error messages based on API responses for improved user feedback.
Add duplicate detection for spreadsheet data processing
Implemented logic to detect and handle duplicate 'positioninpuck' entries within the same puck during spreadsheet processing. Updated backend to validate duplicates and provide detailed error messages. Enhanced frontend to visually highlight duplicate errors and allow better user feedback during cell editing.
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Added logic to assign a default value of 1 to empty "priority" fields in the spreadsheet service. Adjusted the router to correctly track columns explicitly marked as defaulted.
Improved the backend's value cleaning to differentiate between corrections and defaults, logging metadata for clearer traceability. Updated frontend to display corrected/defaulted fields with visual cues and tooltips for better user feedback. Enhanced data models and response structures to support this richer metadata.
Enhanced value cleaning and validation for spreadsheet data with dynamic handling of columns and corrections. Improved feedback for users with detailed error messages and visual indicators for corrected or defaulted values. Simplified backend and frontend logic for better maintainability and usability.
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`.
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.
