- Added a new endpoint for analyzing uploaded CSV files, providing suggestions for field mappings and type conversions.
- Implemented validation for required field targets to ensure all mandatory fields are mapped correctly.
- Enhanced the admin CSV templates interface with new routes and navigation options in the frontend.
- Updated API utility functions to support the new CSV analysis functionality.
- Improved error handling for CSV uploads, including file size and row count checks.
- Bumped version of csv_import to 0.3.0, reflecting new analysis capabilities.
- Modified analyze_csv endpoint to allow optional module filtering, improving flexibility in template selection.
- Enhanced the import process to support both system and user-defined templates, ensuring backward compatibility.
- Updated frontend to streamline mapping choices and improve user experience during CSV analysis and import.
- Added detailed error handling and user feedback for import operations.
- Introduced a new route for the Universal CSV Import page in App.jsx.
- Added a corresponding navigation tile in captureNav.js for easy access to the CSV import functionality.
- Updated the function name from importCsv to importUniversalCsv to better reflect its purpose.
- Added documentation comment to clarify the parameters used in the universal CSV import process.
- Updated version for csv_import to 0.2.0, reflecting new features.
- Implemented a new POST endpoint for universal CSV import, supporting nutrition, weight, and blood pressure modules.
- Added CSV parsing function to yield rows as dictionaries for easier data handling.
- Enhanced error handling and logging for import operations.
- Introduced tests for the new CSV parsing functionality to ensure reliability.
- Added permissions for editing and deleting CSV field mappings.
- Created type converter for CSV cells to handle various data types.
- Implemented database migrations for CSV field mappings and import logs.
- Seeded initial system templates for nutrition and activity data imports.
- Developed admin endpoints for managing system CSV templates.
- Introduced user endpoints for CSV import analysis and mapping retrieval.
- Added tests for core CSV parser functionalities, including delimiter detection and value conversion.
Frontend PlaceholderPicker.jsx:
- Placeholder descriptions now include question ID (q.id)
- Format: "NodeLabel (q21) - Signal type: Question text"
- Makes it easier to identify which question a placeholder belongs to
Example:
Before: "Analysis 4 - Signal: Wie ist die Kalorienbilanz?"
After: "Analysis 4 (q21) - Signal kalorienbilanz: Wie ist die Kalorienbilanz?"
Shows:
- Node label: "Analysis 4"
- Question ID: "(q21)" ← User-assigned ID
- Question type: "kalorienbilanz" ← Used in placeholder
- Question text: "Wie ist..."
Placeholder stays: {{ node_4.signal_kalorienbilanz }}
But description shows q21 for better identification
Version: 0.9p (workflow module)
Part 3: End Node Template Engine - UX Improvement
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Three major improvements for workflow templates:
1. **Normalized Signal Placeholders:**
- Signals now available as {{ node_4.signal_kalorienbilanz }}
- Uses normalized_value (not raw decision_signals)
- Enables structured decision-based outputs
2. **Question Text Placeholders:**
- Question texts available as {{ node_4.question_kalorienbilanz }}
- Extracted from workflow graph (question_augmentations)
- Allows displaying questions alongside answers
3. **Clean End Node Output:**
- End Node output no longer duplicated with "## node_4" headers
- aggregate_results() detects End Nodes via graph.nodes
- Only shows final template-rendered output
- Backward compatible: Falls back to combined_analysis if no End Node
Backend workflow_executor.py:
- execute_end_node(): Added normalized signals to template context
- execute_end_node(): Added question texts to template context
- execute_workflow(): Added graph to context for End Node access
- aggregate_results(): Signature change to accept graph
- aggregate_results(): Detects End Nodes and uses only their output
Frontend WorkflowResultViewer.jsx:
- Now uses aggregated.analysis_core (primary output)
- Removed fallback to combined_analysis (was showing duplicates)
Example Template:
```jinja2
**Frage:** {{ node_4.question_kalorienbilanz }}
**Antwort:** {{ node_4.signal_kalorienbilanz }}
---
{{ node_4.analysis_core }}
```
Issue: Signal placeholders empty, question texts unavailable, duplicate output
Version: 0.9p (workflow module)
Part 3: End Node Template Engine - Complete
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Root Cause:
- WorkflowResultViewer tried to render NormalizedSignal objects directly
- React Error #31: "Objects are not valid as a React child"
- Caused white screen crash after workflow execution
Frontend WorkflowResultViewer.jsx:
- Fixed signal rendering in "All Signals" section
- Now displays: question_type: normalized_value (status)
- Proper formatting for signal objects
Before:
• {signal} ❌ renders [object Object]
After:
• protein_intake: optimal (valid) ✅
Impact:
- Workflow execution no longer crashes the UI
- Signals are properly displayed
- Users can see normalized decision signals
Issue: White screen after workflow execution
Version: 0.9p (workflow module)
Part 3: End Node Template Engine - UI Fix
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Root Cause:
- Frontend serialized as "questions"
- Backend expected "question_augmentations"
- Analysis Nodes WITH questions configured sent empty array to backend
- Questions were never added to LLM prompt
Frontend workflowSerializer.js:
- Serialization: questions → question_augmentations (Backend field name)
- Deserialization: question_augmentations → questions (Frontend data object)
- Backward compatible: Falls back to "questions" for old workflows
Backend workflow_executor.py:
- Removed incorrect load_prompt_questions() function (was a misunderstanding)
- Back to original logic: Only use node.question_augmentations
- Simplified normalization logging
Impact:
- Analysis Node questions are now correctly sent to backend
- Questions augment the base prompt as intended
- LLM receives structured questions
- Decision signals are generated and accessible as placeholders
Example:
- Node configures question with id="q21"
- Signal becomes accessible as {{ node_2.signal_q21 }}
- Can be used in Logic Nodes and End Node templates
Issue: Workflow questions not sent to LLM (field name mismatch)
Version: 0.9p (workflow module)
Part 3: End Node Template Engine - Critical Fix
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added new API endpoints for listing and updating widget-feature assignments, allowing for custom feature requirements.
- Introduced a new admin page for managing widget-feature assignments, enhancing the admin interface.
- Updated navigation to include a link to the new widget-feature assignments page.
- Refactored widget access logic to support AND-based feature requirements for widgets.
- Bumped app_dashboard version to 1.11.0 to reflect these changes and improvements.
- Added new API endpoints for managing the product dashboard standard, including retrieval, update, and deletion functionalities.
- Enhanced the DashboardConfigurePage to support admin mode for configuring the product dashboard standard.
- Updated the admin navigation to include a link for the product dashboard standard configuration.
- Refactored the dashboard layout logic to utilize the new product standard management features.
- Bumped app_dashboard version to 1.10.0 to reflect these enhancements and changes.
- Added drag-and-drop support for widget reordering in the dashboard configuration.
- Introduced a new search input for filtering widgets, enhancing user experience.
- Updated layout editor with a new function to move widgets between indices.
- Improved responsiveness by implementing viewport detection for drag-and-drop features.
- Refactored state management for better handling of widget visibility and search functionality.
- Updated dashboard layout schema to introduce separate default layouts for product and lab dashboards.
- Added new functions for managing product and lab default layouts, improving user customization options.
- Updated app_dashboard version to 1.9.0 to reflect the introduction of product vs lab layout defaults and new API fields for dashboard configuration.
- Enhanced tests to validate new layout functionalities and ensure proper widget visibility based on user settings.
- Added new "Dashboard-Lab-Widgets" entry to the documentation for better guidance on widget configuration.
- Updated the app_dashboard version to 1.8.0 to reflect the introduction of widget catalog features and layout entitlements.
- Enhanced widget catalog entries to include optional feature requirements for better visibility and access control.
- Improved the DashboardLabPage to manage widget visibility based on feature entitlements, ensuring a more tailored user experience.
- Introduced "nutrition_detail_charts", "recovery_charts_panel", and "progress_photos" widgets to the dashboard.
- Updated widget configuration validation to support new widgets, including chart days for nutrition and recovery charts.
- Enhanced the widget catalog and dashboard layout to include the new features.
- Bumped app_dashboard version to 1.7.0 to reflect these additions and improvements.
- Added support for the "quick_capture" widget, allowing users to configure visibility for weight and baseline vitals (resting HR, HRV, VO₂max).
- Implemented validation logic to ensure correct configuration input and prevent errors.
- Updated the widget catalog and dashboard layout to reflect the new quick capture features.
- Removed the "training_type_distribution" widget from the catalog as part of the refactor.
- Bumped app_dashboard version to 1.6.2 to incorporate these enhancements.
- 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.
