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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
7 lines
300 B
Properties
7 lines
300 B
Properties
org.gradle.jvmargs=-Xmx8G -XX:MaxMetaspaceSize=4G -XX:ReservedCodeCacheSize=512m -XX:+HeapDumpOnOutOfMemoryError
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android.useAndroidX=true
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# This newDsl flag was added by the Flutter template
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android.newDsl=false
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# This builtInKotlin flag was added by the Flutter template
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android.builtInKotlin=false
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