Refactored `run_server` to accept explicit config and SSL paths. Added dynamic environment-based config loading and stricter SSL path checks for production. Updated `docker-compose.yml` to use environment variable for port mapping and adjusted `config_prod.json` to reflect correct port usage.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Streamlined Dockerfiles with clearer ENV variables and build args. Switched backend database from MySQL to PostgreSQL, updated configurations accordingly, and added robust Docker Compose services for better orchestration, including health checks and persistent storage.
Streamlined Dockerfiles with clearer ENV variables and build args. Switched backend database from MySQL to PostgreSQL, updated configurations accordingly, and added robust Docker Compose services for better orchestration, including health checks and persistent storage.
Streamlined Dockerfiles with clearer ENV variables and build args. Switched backend database from MySQL to PostgreSQL, updated configurations accordingly, and added robust Docker Compose services for better orchestration, including health checks and persistent storage.
Streamlined Dockerfiles with clearer ENV variables and build args. Switched backend database from MySQL to PostgreSQL, updated configurations accordingly, and added robust Docker Compose services for better orchestration, including health checks and persistent storage.
Streamlined Dockerfiles with clearer ENV variables and build args. Switched backend database from MySQL to PostgreSQL, updated configurations accordingly, and added robust Docker Compose services for better orchestration, including health checks and persistent storage.
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.
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.
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.
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.
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.
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.
Refactored several files to improve code clarity, error handling, and data integrity. Introduced type safety improvements, streamlined OpenAPI model integration, adjusted configuration settings, and enhanced QR code handling logic. Also updated scripts and tsconfig settings to temporarily bypass strict checks during development.
Refactored several files to improve code clarity, error handling, and data integrity. Introduced type safety improvements, streamlined OpenAPI model integration, adjusted configuration settings, and enhanced QR code handling logic. Also updated scripts and tsconfig settings to temporarily bypass strict checks during development.
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.
Simplified image rendering logic in `ResultGrid` by removing hover state management within JavaScript. Added `SampleImage.css` to handle hover effects for images and tooltips with scalable zoom. Cleaned up unnecessary comments and improved code readability.
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.
Removed outdated and unused code snippets from testfunctions.ipynb to streamline the notebook. This improves readability and reduces clutter, ensuring the file contains only relevant and functional code samples.
GotthardG