- Bumped application version to 0.9t and updated changelog with new features.
- Integrated new chart payloads for energy balance, protein adequacy, and nutrition adherence to optimize data retrieval and reduce HTTP requests.
- Updated NutritionCharts component to utilize prefetched chart payloads, improving loading efficiency and user experience.
- Refactored History page to pass chart payloads, enhancing the visualization of nutrition trends without additional requests.
- Bumped application version to 0.9s and updated changelog with new features.
- Introduced `_weight_trend_kpi` function to analyze weight trends and provide verdicts based on historical data.
- Updated `get_body_history_viz_bundle` to include the new weight trend KPI, improving insights on weight changes.
- Refactored the History component to utilize the new trend KPI, enhancing user experience with clearer weight trend interpretations.
- Bumped application version to 0.9r and updated build date to 2026-04-20.
- Added a new endpoint `/activity-last-updated` to retrieve the last activity date for a user, optimizing data retrieval for activity history.
- Updated the frontend to utilize the new endpoint, enhancing the ActivitySection with the last activity date display.
- Refactored the History component to streamline data loading and improve user experience with activity insights.
- Added ScatterChart and related functions to visualize correlation data, improving user understanding of relationships between metrics.
- Introduced new utility functions for processing chart data and determining status tones, enhancing the clarity of visual representations.
- Updated the NutritionSection to include additional insights on calorie balance and protein vs. lean mass, providing a more comprehensive overview of nutrition trends.
- Refactored the `calculate_lag_correlation` function to normalize lag payloads and improve correlation calculations for various nutrition metrics.
- Introduced a new function `build_nutrition_correlation_heuristic_items` to generate heuristic insights based on merged nutrition data, enhancing user understanding of dietary impacts on weight and body composition.
- Updated the `get_nutrition_history_viz_bundle` function to include daily calorie balance and protein vs. lean mass data, providing a comprehensive view of nutrition trends.
- Enhanced the frontend to visualize calorie balance and protein vs. lean mass insights, improving the user experience with clear graphical representations of dietary correlations.
- Added a new endpoint for the recovery dashboard visualization in `charts.py`, integrating multiple recovery metrics and insights.
- Implemented the `get_recovery_dashboard_viz` function to streamline data retrieval for recovery-related charts.
- Refactored the `RecoveryCharts` component to utilize the new `RecoveryDashboardOverview`, simplifying the component structure and enhancing maintainability.
- Updated the `RecoveryChartsPanelWidget` and `History` page to reflect the new recovery dashboard, improving user navigation and experience.
- Deprecated the old recovery charts component, encouraging the use of the new overview for better data presentation.
- Refactored the `calculate_proxy_internal_load_7d` function to `calculate_proxy_internal_load_window`, allowing for dynamic day range input.
- Introduced new functions for calculating training volume deltas and building fitness progress insights, enhancing user feedback on training metrics.
- Updated the fitness dashboard to include new charts for quality sessions and load monitoring, improving data visualization.
- Integrated these new metrics into the fitness dashboard overview, providing users with comprehensive insights into their training performance.
- Streamlined the router to utilize the new chart-building functions, ensuring consistency and maintainability across the application.
- Changed the fitness overview path from `/activity` to `/history` and updated related navigation labels to reflect this change.
- Refactored the `FitnessDashboardOverview` component to accept external period control and conditionally display the period selector.
- Integrated the `FitnessDashboardOverview` into the `History` page, enhancing the user experience with consistent terminology and layout.
- Removed the fitness overview from the `ActivityPage` to streamline the interface and focus on activity data collection.
- Added new functions to build fitness dashboard visualizations, including weekly training volume and training type distribution charts.
- Updated the `charts.py` router to include a new endpoint for the fitness dashboard, integrating data from activity metrics.
- Refactored existing activity-related functions to improve modularity and maintainability.
- Updated frontend components to reflect the new fitness terminology and integrate the fitness dashboard overview, enhancing user experience.
- Added `get_energy_availability_warning_payload` function to assess energy availability and provide contextual warnings based on multiple health indicators.
- Integrated energy availability KPI tile into the nutrition history visualization, enhancing user insights on energy balance.
- Updated frontend components to conditionally display the energy availability warning, improving user experience and data interpretation.
- Refactored existing logic in `charts.py` to utilize the new energy availability functionality, streamlining data handling.
- Added contextual hints to KPI tiles in the nutrition interpretation to provide users with actionable insights regarding protein intake and weight assessment.
- Updated the KpiTilesOverview component to display these hints, improving user understanding of nutrition metrics.
- Introduced a new KcalVsWeightLegend component to clarify chart data representation, enhancing the overall user experience in the history visualization.
- Changed color codes for macro nutrients in the nutrition interpretation and metrics files to improve visual consistency.
- Added new CSS styles for uniform chart height and layout adjustments in the frontend components, enhancing the overall user experience.
- Refactored the NutritionCharts component to utilize the new macro chart theme for better maintainability and readability.
- Added a new `nutrition_interpretation.py` file to handle KPI tile generation for nutrition history.
- Introduced `nutrition_viz.py` to create a visualization bundle for nutrition data, integrating metrics and historical analysis.
- Implemented `get_nutrition_history_viz` endpoint in `charts.py` to serve the new visualization data.
- Updated frontend components to fetch and display nutrition history data, enhancing user experience with detailed insights.
- Refactored existing logic to streamline data handling and improve overall performance.
- Introduced the WeeklyMacroDistributionPanel component to visualize weekly macro distribution alongside existing nutrition charts.
- Updated the NutritionCharts component to conditionally load the weekly macro data based on a new prop.
- Enhanced CSS styles for better layout and responsiveness of the new macro distribution panel.
- Added a new NutritionGoalsStrip component to display active nutrition-related goals with progress indicators in the History page.
- Refactored existing components to improve data handling and user experience.
- Introduced the KpiTilesOverview component to streamline the presentation of KPI tiles, replacing the previous BodyKpiOverview implementation.
- Updated the PilotKpiBoard and History components to utilize the new KpiTilesOverview for better touch and hover interactions.
- Refactored CSS styles to accommodate the new component structure, ensuring a responsive design across devices.
- Enhanced the logic for generating KPI tiles, improving data handling and user experience.
- Added a new button for displaying KPI details on touch devices, replacing hover functionality.
- Introduced a bottom sheet component to present detailed information when the info button is clicked.
- Enhanced the BodyKpiOverview component to detect touch UI and adjust interactions accordingly.
- Updated CSS styles for new touch elements, ensuring a responsive and user-friendly design.
- Updated the `get_body_history_viz_bundle` function to retrieve the two most recent circumference measurements for improved data accuracy.
- Refactored the handling of previous measurement data to ensure comprehensive interpolation for body metrics.
- Modified frontend labels in the `buildBodyKpiTiles` function to provide clearer descriptions in German, enhancing user understanding of body metrics.
- Renamed and refactored CSS classes for better clarity and consistency in the KPI overview section.
- Introduced a new `BodyKpiOverview` component to display KPI tiles with detailed hover information.
- Enhanced the `buildBodyKpiTiles` function to generate tiles based on various body metrics, improving data presentation.
- Updated styles for the KPI cards to enhance user interaction and visual appeal.
- Removed the old `EvaluationTileGrid` component in favor of the new structure for better maintainability.
- Introduced a new API endpoint `/body-history-viz` to retrieve body history visualization data.
- Updated the frontend to fetch and display body history data in the `BodySection` component.
- Enhanced the `EvaluationTileGrid` to include related placeholder keys for improved data interpretation.
- Refactored existing logic to streamline data handling and improve user experience.
- Introduced a new `EvaluationTileGrid` component for displaying compact evaluation tiles with interactive features.
- Added a `BodyGoalsStrip` component to showcase active body-related goals with progress indicators.
- Enhanced CSS styles for the new components to ensure responsive design and improved user experience.
- Updated the `BodySection` to integrate the new components and manage grouped goals effectively.
- Introduced `c_arm_relaxed` to the CircumferenceEntry model for tracking relaxed arm measurements.
- Updated database schema to include `c_arm_relaxed` in the circumference_log table.
- Implemented calculation for 28-day relaxed arm circumference change with `calculate_arm_relaxed_28d_delta`.
- Enhanced placeholder resolver and registration to support new relaxed arm measurement.
- Updated frontend components to accommodate the new measurement, including forms and CSV exports.
- Improved documentation and guide data to reflect the addition of relaxed arm measurements.
- Added `taken_at` timestamp to the photos table for improved photo metadata.
- Updated the photo upload API to support optional EXIF data extraction and file last modified timestamp.
- Enhanced the photo upload process to allow skipping EXIF data, defaulting to today's date if no other date is provided.
- Improved the photo display in various components to utilize a unified caption format.
- Refactored photo sorting and grouping logic for better organization in the UI.
- Added a new `resolve_photo_path` function to handle legacy and new photo paths effectively.
- Updated the photo upload process to store only filenames in the database, improving path resolution.
- Enhanced the photo retrieval and deletion processes to utilize the new path resolution logic.
- Introduced a dedicated PhotosCapturePage for managing photo uploads and viewing.
- Updated the dashboard and navigation to include links to the new photo management features.
- Improved the photo grid display with sorting and deletion capabilities for better user experience.
- Updated `get_activity_session_logical_unit` to support optional parameters for form training context, allowing for more flexible schema resolution.
- Introduced a new endpoint `/attribute-schema` to fetch activity attribute schemas without an existing session, improving manual data entry capabilities.
- Enhanced the `getActivitySession` API method to accept query parameters for training category and type, facilitating dynamic schema retrieval.
- Updated the frontend `ActivityPage` to utilize the new schema fetching logic, ensuring a smoother user experience when managing activity sessions and metrics.
- Introduced a new layout for the Admin Activity Attribute Profiles page, improving the user interface with a dedicated class for styling.
- Added new CSS styles for input fields, labels, and layout structures to enhance the visual presentation and usability of the attribute profiles.
- Updated the form structure to include clearer labels and organization for input fields, ensuring better accessibility and user experience.
- Improved responsiveness of the layout for mobile devices, ensuring a consistent experience across different screen sizes.
- Introduced new fields for descriptions in training parameters, improving clarity for AI context in `training_sessions_recent_json`.
- Added a glossary placeholder `{{training_parameters_glossary_md}}` to provide a Markdown table of active training parameters, including names and descriptions.
- Updated the `placeholder_resolver.py` and `activity_metrics.py` to support the new glossary functionality.
- Enhanced the `AdminActivityAttributeProfilesPage` to allow input for descriptions in both German and English, ensuring better context for metrics.
- Revised tests to validate the inclusion of description fields in parameter schema merges and metrics handling.
- Introduced a new sorting mechanism for activity profile schema rows based on defined categories and UI groups, enhancing the organization of displayed metrics.
- Added constants for training parameter categories and their German labels to improve clarity in the UI.
- Refactored the `SessionMetricsFields` component to utilize the new sorting logic, replacing the previous mapping approach for better maintainability and user experience.
- Ensured that orphan metrics are sorted correctly for consistent display alongside the main metrics.
- Added a new function `activitySchemaHeadlineBinding` to streamline the binding of profile parameters to their corresponding headline columns, enhancing clarity in the metrics display logic.
- Refactored the `SessionMetricsFields` component to utilize the new binding function, simplifying the filtering of schema entries and improving maintainability.
- Updated the logic in `ActivityPage` to leverage the binding function for determining the appropriate column for metrics, ensuring consistent data handling across the application.
- Revised the `upsert_session_metrics_from_csv_mapped` function to clarify EAV writing conditions, ensuring only relevant parameters are processed.
- Enhanced the `merge_column_backed_and_eav_metrics` function to exclude EAV rows for parameters not present in the schema, improving data integrity.
- Updated unit tests to reflect changes in EAV handling and ensure correct functionality when parameters are mapped or not mapped in the profile schema.
- Improved frontend logic to prevent duplicate display of metrics already handled in the entry form, enhancing user experience.
- Eliminated checks for `source_field` in the `replace_activity_session_metrics` function to streamline EAV row replacement, ensuring consistency with existing logic.
- Updated frontend logic to simplify the filtering of metrics during payload construction, enhancing maintainability.
- Removed outdated unit tests related to `source_field` handling, reflecting the updated logic in the codebase.
- Modified the `replace_activity_session_metrics` function to skip EAV inserts for parameters with a defined `source_field`, aligning with the existing logic in `upsert_session_metrics_from_csv_mapped`.
- Enhanced the frontend logic to filter out metrics associated with `source_field` during payload construction, improving data integrity and user experience.
- Added unit tests to validate the new behavior, ensuring that metrics with `source_field` are correctly excluded from inserts.
Reverts cd29c7d..026c51b per git revert. Alle zwischenliegenden Commits bleiben in Gitea sichtbar; der Arbeitsbaum entspricht wieder dem Stand von ca8cee9.
Made-with: Cursor
- Updated the `_import_activity` function to include new metrics: duration_min, kcal_active, kcal_resting, hr_avg, hr_max, and distance_km during CSV imports.
- Modified the `insert_activity_csv_minimal` function to accept and store these additional metrics in the activity log.
- Enhanced the `run_activity_post_write_hooks_import` function to utilize the new metrics for auto-evaluation after activity imports.
- Updated the activity import router to pass the new metrics from the CSV file to the database functions, ensuring comprehensive data handling.
- Improved frontend handling of activity entry forms to accommodate the new metrics, enhancing user experience during activity log edits.
- Updated `ACTIVITY_PRODUCTION_ARCHITECTURE_AND_PHASES.md` to clarify the derivation of `ACTIVITY_MODULE_REGISTRY_FIELD_KEYS` from `csv_parser.module_registry`.
- Enhanced `activity_data_canon.py` to eliminate hardcoded key lists, ensuring all registry fields are derived dynamically.
- Refactored the `_import_activity` function to remove redundant parameters and streamline the import process.
- Improved the `insert_activity_csv_minimal` function to handle metrics exclusively through `update_activity_columns`, preventing hardcoded values.
- Updated frontend components to manage editable activity log fields more effectively, ensuring proper handling of metrics during CSV imports.
- Added unit tests to validate the new logic and ensure consistency in activity session metrics handling.
- Introduced start_time and end_time fields in the activity log entry form, allowing users to input specific times for activities.
- Implemented utility functions to format and validate time inputs from the API and user input, ensuring proper handling of time data.
- Updated the activity display to show formatted start and end times, improving clarity for users reviewing their activity logs.
- Replaced the deprecated `resolve_activity_log_column_patch_from_csv` function with `activity_csv_registry_updates_from_mapped` to streamline updates from CSV mappings.
- Updated the `_import_activity` function to utilize the new registry updates, improving data integrity during activity imports.
- Enhanced the activity module registry by adding German labels for various fields, improving localization support.
- Refactored the session metrics handling to ensure only relevant fields are processed, enhancing the overall robustness of CSV imports.
- Updated the `ACTIVITY_LOG_PATCHABLE_COLUMNS` and `ACTIVITY_LOG_PATCH_FORBIDDEN` sets to improve validation of CSV imports, ensuring only allowed fields are patched.
- Refactored the `_coerce_raw_value_for_parameter` function to handle string inputs for integer and float types, enhancing data coercion accuracy.
- Modified the `SessionMetricsFields` component to display orphan metrics that do not match the current schema, improving user visibility of imported data discrepancies.
- Enhanced the frontend to handle and display additional metrics, ensuring a more comprehensive representation of session data.
- Added a new query parameter `collapseDuplicateSessions` to the activity listing endpoint to enable deduplication of sessions based on date, type, start time, duration, and calories.
- Enhanced backend logic to handle deduplication and return the most recent entry for duplicate sessions.
- Updated frontend to support the new deduplication feature, improving the clarity of displayed activity data.
- Modified API utility to include the new parameter in requests for activity data.
- Introduced a new query parameter for the activity listing endpoint to fetch entries by calendar month (format: YYYY-MM), excluding days and offset.
- Implemented backend validation for the month parameter to ensure correct format and range.
- Enhanced the frontend to support month selection, allowing users to load activities for specific months and dynamically update the displayed entries.
- Improved the user interface to show the selected month and the range of loaded months, enhancing user experience.
- Updated the `replace_activity_session_metrics` function to improve validation logic and error handling for required fields.
- Enhanced the activity listing query to order results by date, start time, and ID, ensuring consistent output.
- Modified the frontend to handle null values in metrics payload and improved the display of activity statistics, including total entries in profile and sample size.
- Added pagination support to the activity listing endpoint with `limit` and `offset` parameters.
- Introduced a `skip_quality_filter` option to allow retrieval of all entries without applying the quality filter.
- Updated the frontend to implement dynamic loading of activity entries and statistics without the quality filter.
- Improved user experience with a "Load More" button for fetching additional entries on the ActivityPage.
- Added new fields to the ActivityEntry model for improved tracking: hr_min, pace_min_per_km, cadence, avg_power, elevation_gain, temperature_celsius, humidity_percent, avg_hr_percent, and kcal_per_km.
- Updated the create_activity function to accommodate the new fields in the activity log.
- Modified session metrics handling to ensure accurate data retrieval and merging based on the updated schema.
- Added a new function to synchronize session metrics with activity log entries, ensuring data consistency.
- Updated the create and update activity endpoints to call the synchronization function after inserting or modifying activity logs.
- Introduced a set of allowed keys for activity log payloads to streamline data handling in the frontend.
- Improved data coercion logic for various data types in the frontend to ensure accurate data submission.
- Introduced new endpoints for updating training category and type parameters in the backend.
- Added corresponding update functions in the frontend API utility.
- Enhanced the Admin Activity Attribute Profiles page to support editing and saving changes for category and type parameters.
- Implemented state management for editing parameters and improved error handling during updates.
- Added new Admin UI for managing Activity Attribute Profiles.
- Enhanced ActivityPage to support dynamic loading and editing of session metrics.
- Updated API utility functions to handle new endpoints for training parameters and metrics.
- Improved form handling for session metrics, including validation and error management.
- Updated documentation to reflect new features and changes in session metrics handling.
- Added a function to calculate goal progress percentage based on start, target, and current values.
- Updated GoalsPage to display progress in a user-friendly format, including visual progress bars.
- Implemented error handling for goal progress updates in the backend to ensure robustness.
- Created WorkflowDebugPanel.jsx: Collapsible panel showing debug info for each workflow node
- Shows prompt sent to AI
- Shows raw AI response
- Shows parsed results
- Shows normalized signals
- Color-coded status (executed/failed/skipped)
- Expandable/collapsible per node
- Updated Analysis.jsx:
- Added WorkflowDebugPanel import
- Store node_states in newResult for debugging
- Display WorkflowDebugPanel below InsightCard (both locations)
This makes it easy to debug workflow issues by seeing exactly what happened at each node.
Backend changes:
- workflow_models.py: Add debug_prompt, debug_raw_response, debug_node_type, debug_prompt_slug, metadata fields to NodeExecutionState
- workflow_executor.py: Capture and store debug info for analysis, logic, and join nodes when enable_debug=True
- Analysis nodes: store full prompt + raw AI response
- Logic nodes: store expression + evaluation result
- Join nodes: store strategy + path statistics
Frontend changes:
- Analysis.jsx: Enable debug mode by default (debug=true) for all workflow executions
This allows developers to see exactly what prompt was sent to the AI, what response was received, and how each node was processed - essential for debugging workflow issues.
Backend:
- workflow_executor.py: Add progress_callback parameter, emit events for execution_started, node_complete, execution_complete, execution_failed
- prompt_executor.py: Thread progress_callback through execute chain
- routers/prompts.py: New /execute-stream endpoint with asyncio Queue for SSE
Frontend:
- utils/api.js: New executeUnifiedPromptStream() function with EventSource
- pages/Analysis.jsx: Use SSE with live progress display (X/Y Nodes)
Fixes:
- No more gateway timeouts for complex workflows (10+ nodes)
- Live progress feedback for users
- Unlimited workflow complexity
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Issue #1 + #3: Validierung zeigt keine Details / Fehler-Lokalisierung
NEU: ValidationPanel Component
- Zeigt alle Fehler und Warnungen mit vollständigen Details
- Gruppiert nach Severity (Fehler/Warnungen)
- Aufklappbar pro Gruppe (collapsible)
- Click-to-Jump: Fehler mit nodeId sind klickbar
- Klick selektiert betroffene Node → Config-Panel öffnet sich
- Schließbar, öffnet sich automatisch bei neuen Fehler/Warnungen
Features:
- Fixed position (bottom-right, über Canvas)
- Farb-Kodierung: Rot (Errors) / Gelb (Warnings)
- Hover-Effekt auf klickbare Items
- Type-Labels (structure, isolation, etc.)
- Scrollbar bei vielen Fehler/Warnungen
- X-Button zum Schließen
UX-Verbesserungen:
- Kein Raten mehr: Zeigt WAS der Fehler ist
- Kein Suchen mehr: Klick springt direkt zur Node
- Übersichtlich auch bei vielen Fehler/Warnungen
- Funktioniert in großen Workflows
Technisch:
- handleValidationNodeClick: setSelectedNodeId
- Auto-show bei errors.length > 0 || warnings.length > 0
- State: showValidationPanel (closable)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
