3 Commits

Author	SHA1	Message	Date
Lars	7ac9752c3d	feat: enhance nutrition data processing and visualization with new correlation insights ... - 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.	2026-04-20 13:45:28 +02:00
Lars	5b7d7ec3bb	fix: Phase 0c - update all in-function imports to use data_layer ... Critical bug fix: In-function imports were still referencing calculations/ module. This caused all calculated placeholders to fail silently. Fixed imports in: - activity_metrics.py: calculate_activity_score (scores import) - recovery_metrics.py: calculate_recent_load_balance_3d (activity_metrics import) - scores.py: 12 function imports (body/nutrition/activity/recovery metrics) - correlations.py: 11 function imports (scores, body, nutrition, activity, recovery metrics) All data_layer modules now reference each other correctly. Placeholders should resolve properly now. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-28 20:36:50 +01:00
Lars	befa060671	feat: Phase 0c - migrate correlation_metrics to data_layer/correlations (11 functions) ... - Created NEW data_layer/correlations.py with all 11 correlation functions - Functions: Lag correlation (main + 3 helpers: energy/weight, protein/LBM, load/vitals) - Functions: Sleep-recovery correlation - Functions: Plateau detection (main + 3 detectors: weight, strength, endurance) - Functions: Top drivers analysis - Functions: Correlation confidence helper - Updated data_layer/__init__.py to import correlations module and export 5 main functions - Refactored placeholder_resolver.py to import correlations from data_layer (as correlation_metrics alias) - Removed ALL imports from calculations/ module in placeholder_resolver.py Module 6/6 complete. ALL calculations migrated to data_layer! Phase 0c Multi-Layer Architecture COMPLETE. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-28 20:28:26 +01:00