mitai-jinkendo/backend/data_layer
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feat: Enhance nutrition and activity metrics with new data layers
- 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.
2026-04-11 20:46:17 +02:00
..
training_profile feat: Add personal reference values management in settings and API 2026-04-06 19:45:06 +02:00
__init__.py feat: Enhance nutrition and activity metrics with new data layers 2026-04-11 20:46:17 +02:00
activity_metrics.py feat: Enhance nutrition and activity metrics with new data layers 2026-04-11 20:46:17 +02:00
body_metrics.py feat: Enhance nutrition and activity metrics with new data layers 2026-04-11 20:46:17 +02:00
correlations.py fix: Phase 0c - update all in-function imports to use data_layer 2026-03-28 20:36:50 +01:00
health_metrics.py feat: Phase 0c - health_metrics.py module complete 2026-03-28 19:15:31 +01:00
nutrition_metrics.py feat: Update nutrition metrics and energy balance calculations 2026-04-11 19:04:27 +02:00
recovery_metrics.py fix: Phase 0c - update all in-function imports to use data_layer 2026-03-28 20:36:50 +01:00
reference_values.py feat: Update reference values and introduce pilot visualization module 2026-04-07 10:15:13 +02:00
scores.py fix: Phase 0c - update all in-function imports to use data_layer 2026-03-28 20:36:50 +01:00
utils.py fix: correct confidence thresholds for 30-89 day range 2026-03-28 21:03:22 +01:00