Previous commit only converted weight values, but missed:
- avg_intake (calories from DB)
- avg_protein (protein_g from DB)
- protein_per_kg calculations in loops
All DB numeric values now converted to float BEFORE arithmetic.
Fixed locations:
- Line 44: avg_intake conversion
- Line 126: avg_protein conversion
- Line 175: protein_per_kg in loop
- Line 213: protein_values list comprehension
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
TypeError: unsupported operand type(s) for *: 'decimal.Decimal' and 'float'
TypeError: unsupported operand type(s) for -: 'float' and 'decimal.Decimal'
PostgreSQL NUMERIC/DECIMAL columns return decimal.Decimal objects,
not float. These cannot be mixed in arithmetic operations.
Fixed 3 locations:
- Line 62: float(weight_row['weight']) * 32.5
- Line 153: float(weight_row['weight']) for protein_per_kg
- Line 202: float(weight_row['avg_weight']) for adequacy calc
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
ImportError: cannot import name 'get_goals_by_type' from 'goal_utils'
Changes:
- body_metrics.py: Use get_active_goals() + filter by type_key
- nutrition_metrics.py: Remove unused import (dead code)
Result: Score functions no longer crash on import error.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Root cause: All 3 score functions returned None because they queried
German focus area keys that don't exist in database (migration 031
uses English keys).
Changes:
- body_progress_score: körpergewicht/körperfett/muskelmasse
→ weight_loss/muscle_gain/body_recomposition
- nutrition_score: ernährung_basis/proteinzufuhr/kalorienbilanz
→ protein_intake/calorie_balance/macro_consistency/meal_timing/hydration
- activity_score: kraftaufbau/cardio/bewegungsumfang/trainingsqualität
→ strength/aerobic_endurance/flexibility/rhythm/coordination (grouped)
Result: Scores now calculate correctly with existing focus area weights.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
