3 Commits

Author	SHA1	Message	Date
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	dc34d3d2f2	feat: Phase 0c - migrate activity_metrics calculations to data_layer (20 functions) ... - Migrated all 20 calculation functions from calculations/activity_metrics.py to data_layer/activity_metrics.py - Functions: Training volume (minutes/week, frequency, quality sessions %) - Functions: Intensity distribution (proxy-based until HR zones available) - Functions: Ability balance (strength, endurance, mental, coordination, mobility) - Functions: Load monitoring (internal load proxy, monotony score, strain score) - Functions: Activity scoring (main score with focus weights, strength/cardio/balance helpers) - Functions: Rest day compliance - Functions: VO2max trend (28d) - Functions: Data quality assessment - Updated data_layer/__init__.py with 17 new exports - Refactored placeholder_resolver.py to import activity_metrics from data_layer Module 3/6 complete. Single Source of Truth for activity metrics established. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-28 20:18:49 +01:00
Lars	6b2ad9fa1c	feat: Phase 0c - activity_metrics.py module complete ... Data Layer: - get_activity_summary_data() - count, duration, calories, frequency - get_activity_detail_data() - detailed activity log with all fields - get_training_type_distribution_data() - category distribution with percentages Placeholder Layer: - get_activity_summary() - refactored to use data layer - get_activity_detail() - refactored to use data layer - get_trainingstyp_verteilung() - refactored to use data layer All 3 activity data functions + 3 placeholder refactors complete. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-28 19:11:45 +01:00