Commit Graph

6 Commits

Author SHA1 Message Date
41bf593d4c feat: Refactor sleep metrics calculations and improve error handling
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- Updated `get_sleep_avg_duration` and `get_sleep_avg_quality` functions in `placeholder_resolver.py` to provide clearer error messages when data is unavailable.
- Enhanced sleep quality calculations in `recovery_metrics.py` to handle cases with insufficient data more robustly.
- Improved data handling in various metrics files (`activity_metrics.py`, `body_metrics.py`, `nutrition_metrics.py`, `recovery_metrics.py`, and `scores.py`) to ensure consistent float conversions for calculations.
- Added utility functions in `recovery_metrics.py` for parsing and normalizing sleep segment data, enhancing the accuracy of sleep quality assessments.

These changes improve the reliability and clarity of sleep-related metrics and enhance overall data handling across the application.
2026-04-11 21:27:49 +02:00
e9e094c6a4 feat: Enhance nutrition and activity metrics with new data layers
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- 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
285184ba89 fix: add missing statistics import and update focus_weights function
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Two critical fixes for placeholder resolution:

1. Missing import in activity_metrics.py:
   - Added 'import statistics' at module level
   - Fixes calculate_monotony_score() and calculate_strain_score()
   - Error: NameError: name 'statistics' is not defined

2. Outdated focus_weights function in body_metrics.py:
   - Changed from goal_utils.get_focus_weights (uses old focus_areas table)
   - To data_layer.scores.get_user_focus_weights (uses new v2.0 system)
   - Fixes calculate_body_progress_score()
   - Error: UndefinedTable: relation "focus_areas" does not exist

These were causing many placeholders to fail silently.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-28 20:46:21 +01:00
5b7d7ec3bb fix: Phase 0c - update all in-function imports to use data_layer
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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
dc34d3d2f2 feat: Phase 0c - migrate activity_metrics calculations to data_layer (20 functions)
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- 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
6b2ad9fa1c feat: Phase 0c - activity_metrics.py module complete
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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