Lars
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Registers 5 nutrition-related placeholders with complete metadata: - macro_consistency_score: CV-based Makro-Konsistenz Score (0-100) - energy_balance_7d: Energiebilanz (kcal/day avg, intake - TDEE) - energy_deficit_surplus: Status (deficit/maintenance/surplus) - intake_volatility: Klassifikation (stable/moderate/high) - nutrition_days: Anzahl valider Ernährungstage (30d) All placeholders with evidence-based tagging: - 22 metadata fields per placeholder - CODE_DERIVED: Technical fields, formulas from code inspection - DRAFT_DERIVED: Semantic fields from canonical requirements - MIXED: Calculation logic (TDEE model, thresholds, formulas) - TO_VERIFY: Architecture layer decisions Critical details documented: - macro_consistency_score: CV formula + thresholds explicitly documented - energy_balance_7d: TDEE model (weight_kg × 32.5), unit clarified (kcal/day avg) - energy_deficit_surplus: Status thresholds (<-200, -200 to +200, >+200) - intake_volatility: Category mapping from macro_consistency_score - nutrition_days: Validation criteria (any entry = valid day) Known limitations captured: - TDEE model is simplified (no activity/age/gender adjustment) - Thresholds are somewhat arbitrary (e.g., 200 kcal for deficit/surplus) - High volatility not necessarily bad (context-dependent) Registry now contains 14 placeholders total: - Part A: 4 (kcal_avg, protein_avg, carb_avg, fat_avg) - Part B: 5 (protein targets + adequacy) - Part C: 5 (consistency + balance + meta) Framework: PLACEHOLDER_REGISTRY_FRAMEWORK.md (verbindlich ab 2026-04-02) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
13 lines
348 B
Python
13 lines
348 B
Python
"""
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Placeholder Registrations Package
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Auto-imports all placeholder registrations to populate the global registry.
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"""
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# Import all registration modules to trigger auto-registration
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from . import nutrition_part_a
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from . import nutrition_part_b
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from . import nutrition_part_c
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__all__ = ['nutrition_part_a', 'nutrition_part_b', 'nutrition_part_c']
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