- Updated the dashboard layout schema to include new widgets: DashboardGreeting, QuickWeightToday, BodyStatStrip, StatusPills, ProfileGoalsProgress, TrendKcalWeight, NutritionActivitySummary, RecoverySleepRest, and TrainingTypeDistribution.
- Improved widget configuration validation to support new features, including chart days for trend and distribution widgets.
- Refactored the default lab layout to align with the updated widget catalog and ensure proper default activation.
- Bumped app_dashboard version to 1.6.0 to reflect the addition of new widgets and configuration enhancements.
- Enhanced the KPI board widget to support tile configuration, allowing users to select and order tiles.
- Updated validation logic to ensure proper handling of tile IDs and configuration fields.
- Removed legacy chart_days support, transitioning to a fixed analysis window for KPI metrics.
- Improved the DashboardLabPage to integrate the new KpiBoardConfigEditor for managing tile selections.
- Bumped app_dashboard version to 1.5.0 to reflect these significant changes.
- Fixed a syntax error in the recentNutr filter function by adding a closing parenthesis.
- Ensured proper calculation of kcal based on recent nutrition data.
- Added support for the "kpi_board" widget in the dashboard configuration, allowing for chart_days validation.
- Updated the widget catalog description to reflect the new configuration options for KPI tiles.
- Enhanced the DashboardLabPage to manage chart_days input for the KPI board, improving user experience.
- Introduced normalization functions for KPI kcal window days to maintain consistent behavior.
- Bumped app_dashboard version to 1.4.0 to reflect these enhancements.
- Added functions to handle Apple Health sleep data in both segment and summary formats.
- Implemented robust error handling for date parsing and data conversion.
- Updated documentation to reflect new CSV format support and data aggregation logic.
- Bumped version in version.py to reflect the changes in the activity module.
- Added support for the "activity_overview" widget in the dashboard configuration, allowing for chart_days validation.
- Refactored validation logic to streamline error handling for both "body_overview" and "activity_overview" widgets.
- Updated the widget catalog description to reflect the new configuration options.
- Enhanced the DashboardLabPage to manage chart_days input for both widgets, improving user experience.
- Bumped app_dashboard version to 1.3.0 to reflect these enhancements.
- Introduced a draft state for body chart days input to allow for temporary edits without immediate clamping.
- Updated input handling to support numeric input mode and improved accessibility with aria-label.
- Enhanced save and reset functionalities to manage the new draft state effectively.
- Refactored layout normalization to accommodate changes in body chart days configuration.
- Added validation for widget configuration in the DashboardWidgetEntry model to ensure proper data structure.
- Updated the DashboardLayoutPayload to include widget configuration in the serialized output.
- Improved the PilotBodySection and DashboardLabPage components to support dynamic chart days configuration for the body overview widget.
- Refactored layout editor functions to normalize widget configurations for better handling.
- Bumped app_dashboard version to 1.2.0 to reflect the new features and improvements.
- Integrated a new API endpoint for fetching the widget catalog in the Dashboard-Lab.
- Updated the dashboard layout schema to utilize the widget catalog for dynamic widget management.
- Refactored DashboardLabPage and PilotVizPage to leverage the new widget rendering system.
- Removed deprecated widget metadata from the frontend, streamlining the widget management process.
- Bumped app_dashboard version to 1.1.0 to reflect the new features and improvements.
- Added new routes and API endpoints for the Dashboard-Lab layout in the app.
- Updated main.py to include the app_dashboard router for backend integration.
- Enhanced App.jsx to include a route for the DashboardLabPage.
- Modified SettingsPage to add a link to the new Dashboard-Lab layout, improving user access to dashboard features.
- Updated version.py to reflect the new app_dashboard module version.
- Deleted unused components: GoalsSnapshotWidget, ReferenceValuesSummaryWidget, WeightKpiWidget, and PilotVizAdminCard.
- Removed associated layout storage and widget registry logic to streamline the pilot visualization module.
- Updated PilotVizPage to integrate new components for improved user experience and functionality.
- Replaced the previous widget retrieval method with a new layout-based approach in PilotVizPage.
- Introduced a PilotVizAdminCard for layout configuration and management.
- Updated widget definitions in the registry to include new components and default order.
- Enhanced user feedback for widget visibility with a message when no widgets are active.
- Bumped version of reference_values module to 1.3.0.
- Added new imports and functionality for reference values in the backend, enhancing data retrieval.
- Introduced a new PilotVizPage in the frontend for visualizing data, linked from the SettingsPage for easy access.
- Updated routing in App.jsx to include the new pilot visualization route.
- Introduced a new API endpoint for fetching a summary of profile reference values, providing the latest and previous entries for each reference type.
- Updated ProfileReferenceValuesPage to display summary tiles with trend indicators for better user insights.
- Enhanced CSS for responsive layout of reference value tiles, improving the overall user experience on different screen sizes.
- Implemented trend calculation logic to visually represent changes between the latest and previous reference values.
- Introduced a new SettingsShell layout for improved navigation within the settings section.
- Updated ProfileReferenceValuesPage to display the latest entry with enhanced styling and information.
- Removed the direct link to settings from ProfileReferenceValuesPage for a cleaner UI.
- Adjusted SettingsPage to streamline the layout and focus on essential settings options.
- Added a new API endpoint for reordering reference value types based on user-defined order.
- Updated the AdminReferenceValueTypesPage to allow users to reorder types using up/down buttons.
- Introduced a consistent confidence level sorting mechanism across the application.
- Refactored related components to remove unused sort order fields and improve user experience.
- Updated the backend to include new fields for validation rules and metadata in reference value types.
- Enhanced the AdminReferenceValueTypesPage to support new validation rules for different data types.
- Improved the ProfileReferenceValuesPage to handle validation and metadata for profile reference values.
- Added API endpoint for fetching reference value metadata enums to support frontend validation.
- Refactored frontend forms to incorporate new fields and validation logic for a better user experience.
- Refactored ProfileReferenceValuesPage to apply consistent styling for form elements and improve layout.
- Adjusted button styles for better visual consistency across the forms.
- Added new routes and API endpoints for managing reference value types in the admin section.
- Updated the frontend to include navigation and components for reference value types management.
- Enhanced the backend to support the new reference value types in the data layer and versioning.
- Introduced new routes and API endpoints for managing personal reference values.
- Updated the SettingsPage to include a section for reference values with navigation to manage them.
- Enhanced the backend to support reference values in the data layer and versioning.
- Added necessary imports and UI components for a seamless user experience.
- Added endpoints for listing and updating focus area usage types in the backend.
- Enhanced the AdminFocusAreasPage to display and manage allowed usage types for focus areas.
- Introduced a new state for usage types catalog and integrated it into the focus area editing process.
- Updated API utility functions to support new usage types operations.
- Enhanced the caliper listing and export functionalities to include enriched data from weight logs.
- Updated the upsert and update operations to utilize new composition functions for body composition calculations.
- Refactored the CaliperScreen component to streamline payload construction by removing unnecessary parameters.
- Removed Admin Panel from SettingsPage and adjusted related logic.
- Added EmailSettings component for SMTP configuration and testing.
- Created admin navigation structure in adminNav.js for better organization.
- Implemented AdminShell layout for consistent admin UI.
- Added RequireAdmin component to protect admin routes.
- Developed AdminHomePage for admin dashboard with navigation links.
- Created AdminSystemPage for SMTP settings and placeholder metadata export.
- Implemented AdminUsersPage for user management, including profile creation and editing.
Also use 'N/A' placeholder in ExecutionResult when workflow_id is None
(when using graph_data directly instead of workflow_definitions).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Prevents duplicate key violation when save_execution_state is called
multiple times with the same execution_id (e.g., during error handling).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fixes:
1. Edge Format Mismatch:
- graph_data uses React Flow format (source/target)
- WorkflowEdge expects backend format (from/to)
- Added normalization in parse_workflow_graph()
2. UUID Validation Error:
- workflow_id can be None when using graph_data (Phase 5)
- save_execution_state now accepts Optional[str]
- ExecutionResult uses "N/A" placeholder when None
Changes:
- workflow_engine.py: normalize edges before Pydantic validation
- workflow_executor.py: Optional[str] for workflow_id parameter
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fixes:
- graph_data was incorrectly json.dumps() encoded (should stay as dict)
- workflow_id=None in error handler caused ValidationError
- parse_workflow_graph expects Dict, not str
Changes:
- Use graph_dict directly instead of json.dumps(graph_data)
- Set workflow_id="" when None in error handler
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
