mitai-jinkendo/backend/placeholder_registrations/__init__.py
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feat: Placeholder Registry Part B - Protein Placeholders
Registers 5 protein-related placeholders with complete metadata:
- protein_ziel_low: Lower protein target (1.6 g/kg × latest weight)
- protein_ziel_high: Upper protein target (2.2 g/kg × latest weight)
- protein_g_per_kg: Protein intake per kg body weight
- protein_days_in_target: Days in protein range (format: 5/7)
- protein_adequacy_28d: Protein adequacy score (0-100)

All placeholders with evidence-based tagging:
- 22 metadata fields per placeholder
- CODE_DERIVED: Technical fields from source inspection
- DRAFT_DERIVED: Semantic fields from canonical requirements
- UNRESOLVED: Fields requiring clarification
- TO_VERIFY: Assumptions needing verification

Critical issues documented in known_limitations:
- protein_g_per_kg: Weight basis inconsistency (protein 7d avg / weight latest)
- protein_adequacy_28d: Score logic explicitly documented (1.4-1.6-2.2 thresholds)

Registry now contains 9 placeholders total (4 Part A + 5 Part B).

Framework: PLACEHOLDER_REGISTRY_FRAMEWORK.md (verbindlich ab 2026-04-02)
Change Plan: .claude/task/rework_0b_placeholder/NUTRITION_PART_B_CHANGE_PLAN.md

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-02 12:27:58 +02:00

12 lines
297 B
Python

"""
Placeholder Registrations Package
Auto-imports all placeholder registrations to populate the global registry.
"""
# Import all registration modules to trigger auto-registration
from . import nutrition_part_a
from . import nutrition_part_b
__all__ = ['nutrition_part_a', 'nutrition_part_b']