Milestone 1 of the diet-app-as-wise-balloon plan: a phone-native way to
log meals away from the PC, sharing the exact on-disk JSON shape
diet_guard already uses (same field names, no translation layer).
- lib/models/: 1:1 Dart mirrors of the Python dataclasses (Nutrition,
FoodEntry, MealItem, FoodBankRecord, Slot), including the per-100g/
amount-eaten portion scaling that matches _resolve.resolve_nutrition's
semantics exactly.
- lib/services/log_storage_service.dart: plain-JSON persistence to
food_log.json's exact shape (no sqflite -- the canonical format
already is this JSON).
- lib/services/foodbank_service.dart: ports _foodbank.py's upsert/fuzzy
search logic for autocomplete.
- lib/screens/: log_meal_screen.dart (single-item logging) and
meal_builder_screen.dart (composite multi-item meals, logging full
per-component macros via the new components field).
Verified end-to-end on a physical device (BL9000): built, installed,
logged a real meal through the UI. 77 Flutter tests passing, `flutter
analyze` clean against very_good_analysis.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01FU3f5KQ1GHXsbbSecfVEyF
