- Updated the `_correlate_energy_weight` function to streamline the unpacking of the `best` variable, removing unnecessary tuple elements for improved clarity and efficiency in the correlation logic.
- Added `safe_float` utility to enhance float handling in correlation calculations, preventing potential errors.
- Refactored lag correlation logic in `get_history_overview_viz_bundle` to utilize absolute values safely, improving accuracy in metric comparisons.
- Enhanced nutrition body merge logic to ensure proper date handling and data integrity, optimizing the retrieval of nutrition and weight logs.
- Introduced new functions in the frontend for processing lag details, improving the visualization of correlation data in the History page.
- Updated `calculate_lag_correlation` to include detailed interpretations and lag details for energy balance vs. weight change, protein vs. lean mass, and load vs. vital metrics.
- Improved handling of insufficient data scenarios in correlation charts, providing clearer messages and metadata for user insights.
- Refactored chart functions to utilize best lag values and correlation data more effectively, enhancing the visualization of relationships between metrics.
- 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.
- Modified the `build_sleep_debt_chart_payload` function to correctly handle date types, ensuring only valid dates are processed.
- Enhanced the logic to append today's date and current debt value to the chart data if the last recorded date is earlier than today, aligning the chart with KPI metrics.
- Updated metadata calculations to reflect the correct number of data points based on labels, improving the accuracy of the recovery chart payload.
- Introduced new constants for sleep debt calculations, including target hours and rolling window days.
- Added a function to calculate sleep debt over a specified window, aligning with KPI logic.
- Updated SQL queries in recovery chart payloads to ensure accurate data retrieval for sleep metrics.
- Enhanced the RecoveryDashboardOverview component to reflect changes in sleep debt visualization and descriptions, improving user understanding of metrics.
- Refined chart labels and notes for clarity, ensuring users can easily interpret recovery and sleep data.
- Added an `include_avg_sleep_kpi` parameter to the `build_recovery_dashboard_kpi_tiles` function to conditionally include average sleep data in the dashboard.
- Updated the `get_recovery_dashboard_viz_bundle` function to pass the new parameter, ensuring flexibility in data presentation.
- Refactored the insights generation in the `vitals_fitness_insights.py` file to utilize a new structured approach for better organization of heart and VO2 insights.
- Introduced new components in the frontend for displaying insights, improving the user experience and clarity of vital metrics.
- Removed unnecessary snapshot key omission in the `build_vital_signs_matrix_chart_payload` function for improved data clarity.
- Introduced new components for better organization and presentation of vital signs insights, including `SectionHeading` and `VitalZoneHint`.
- Enhanced axis tick formatting in the `RecoveryDashboardOverview` component for clearer data representation.
- Updated narrative rendering logic to improve user experience and contextual understanding of vital metrics.
- Introduced `_de_num` and `_de_num_signed` functions for formatting decimal numbers with a comma, improving text presentation in German.
- Updated `_build_consolidated_paragraphs` to utilize new formatting functions for HRV and resting heart rate comparisons, enhancing clarity in insights.
- Refined narrative descriptions for better contextual understanding of vital signs trends and their implications.
- Updated the `build_vital_signs_matrix_chart_payload` function to accept optional keys for omitting specific snapshot data, improving flexibility in data presentation.
- Enhanced the `build_recovery_dashboard_kpi_tiles` function to conditionally merge heart and autonomic tiles based on new parameters, refining the dashboard's insights.
- Integrated new analytics features in the `RecoveryDashboardOverview` component, including consolidated paragraphs for better narrative context and visual representation of trends.
- Improved the handling of vital signs data in the frontend, ensuring clearer messaging and enhanced user experience when displaying vital metrics.
- Integrated the `build_vitals_history_and_analytics` function into the recovery dashboard to provide historical insights on vital signs.
- Updated the `get_recovery_dashboard_viz_bundle` function to include a new chart for vitals history, enhancing the data visualization capabilities.
- Enhanced the `RecoveryDashboardOverview` component to render vitals history, including improved messaging for insufficient data and visual representation of trends.
- Introduced a new function `_merge_vitals_baseline_rows` to streamline the retrieval and merging of vital signs data, ensuring the latest non-empty values are prioritized.
- Updated SQL queries in `build_vital_signs_matrix_chart_payload` to enhance data retrieval efficiency and accuracy.
- Refactored the `renderVitalSigns` function in the `RecoveryDashboardOverview` component to improve handling of vital signs data, including better fallback messaging and chart rendering logic.
- Enhanced user feedback by providing clearer messages when no vital data is available, improving overall user experience.
- Introduced new functions to handle vital signs data retrieval and processing, including fallback mechanisms for missing values.
- Updated SQL queries in `build_vital_signs_matrix_chart_payload` to improve date filtering and data accuracy.
- Enhanced the frontend `RecoveryDashboardOverview` component to display vital signs with contextual coloring based on health tones.
- Adjusted the data structure for chart rendering, ensuring a more informative and visually appealing representation of vital metrics.
- Modified the SQL query in `build_vital_signs_matrix_chart_payload` to use `measured_at::date` for date comparisons, ensuring correct data retrieval based on the measurement date.
- Adjusted the order of results to sort by `measured_at` instead of `date`, improving the accuracy of the latest vital signs data fetched.
- Changed SQL queries in `build_sleep_duration_quality_chart_payload` and `build_sleep_debt_chart_payload` to select `duration_minutes` instead of `total_sleep_min`.
- Updated calculations for sleep duration and quality scores to reflect the new field names, ensuring accurate data representation in the recovery charts.
- 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 `get_profile_reference_values_current_snapshot` and `get_profile_reference_values_recent_snapshot` functions to retrieve current and recent reference values for profiles.
- Updated the placeholder resolver to include new placeholders for current and recent reference values.
- Added new API endpoints for fetching current and recent reference values snapshots.
- Enhanced the frontend API utility to support the new snapshot endpoints.
- Improved unit tests to validate the new data layer functions and their behavior.
- 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.
