- 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 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 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.
- Added new functions for BMI and goal weight/body fat percentage retrieval in `body_metrics.py`.
- Introduced training frequency and inter-session gap calculations in `activity_metrics.py`.
- Updated placeholder registrations to include new metrics for nutrition and activity.
- Improved data handling in `placeholder_resolver.py` for better integration of new metrics.
- Enhanced documentation across modules to reflect the new functionalities.
These updates improve the accuracy and comprehensiveness of health and fitness assessments within the application.
- Introduced a single TDEE calculation based on current weight, replacing the fixed 2500 kcal value.
- Updated `get_energy_balance_data` to use daily totals for intake calculations and improved energy balance logic.
- Enhanced `get_nutrition_average_data` to calculate averages over calendar days instead of raw log entries.
- Adjusted placeholder resolution to ensure consistent metadata usage across requests.
- Fixed issues in the charts router to reflect the new energy balance logic and TDEE calculations.
These changes improve the accuracy of nutritional assessments and streamline data handling in the application.
Charts router had no prefix, causing 404 errors.
Fixed:
- Added prefix="/api/charts" to APIRouter()
- Changed all endpoint paths from "/charts/..." to "/..."
(prefix already includes /api/charts)
Now endpoints resolve correctly:
/api/charts/energy-balance
/api/charts/recovery-score
etc.
All 23 chart endpoints now accessible.
