Commit Graph

7 Commits

Author SHA1 Message Date
d7cefdd9e9 feat: Update Gitea issues index and enhance data layer metrics
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- Updated the Gitea issues index to reflect the latest state as of 2026-04-11, adding issue #76 to the list.
- Refined data handling in `activity_metrics.py`, `body_metrics.py`, `nutrition_metrics.py`, and `scores.py` to ensure consistent float conversions for calculations, improving accuracy in metric evaluations.
- Enhanced the calculation logic for various metrics to handle potential None values more robustly, ensuring smoother data processing and improved reliability across the application.

These changes improve the clarity of the Gitea issues documentation and enhance the overall accuracy and reliability of health and fitness metrics.
2026-04-11 22:14:45 +02:00
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