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https://github.com/kuhyx/diet-guard.git
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Krzysztof kuhy Rudnicki
ee5a7660cb
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
61 lines
1.8 KiB
Dart
61 lines
1.8 KiB
Dart
/// A composite meal's per-component record, carried on a log entry.
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library;
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/// One component's name and macros, as stored on a composite log entry's
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/// `components` list.
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///
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/// Mirrors the dict shape `_meal.item_to_component` builds on the Python
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/// side: `{name, kcal, protein_g, carbs_g, fat_g, grams}`. Carrying full
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/// macros (not just the name) lets a food bank rebuilt purely by replaying
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/// the log recover each component's standalone nutrition, not just the
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/// composite's summed total.
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class MealComponent {
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/// Creates a [MealComponent] from its name and macro fields.
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const MealComponent({
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required this.name,
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required this.kcal,
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required this.proteinG,
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required this.carbsG,
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required this.fatG,
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required this.grams,
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});
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/// Builds a [MealComponent] from its JSON map representation.
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factory MealComponent.fromJson(Map<String, dynamic> json) => MealComponent(
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name: json['name'] as String? ?? '',
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kcal: (json['kcal'] as num?)?.toDouble() ?? 0,
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proteinG: (json['protein_g'] as num?)?.toDouble() ?? 0,
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carbsG: (json['carbs_g'] as num?)?.toDouble() ?? 0,
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fatG: (json['fat_g'] as num?)?.toDouble() ?? 0,
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grams: (json['grams'] as num?)?.toDouble() ?? 0,
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);
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/// The component's food name (e.g. `"chicken"`).
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final String name;
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/// Calories for this component's portion.
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final double kcal;
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/// Protein in grams.
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final double proteinG;
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/// Carbohydrate in grams.
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final double carbsG;
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/// Fat in grams.
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final double fatG;
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/// Portion weight in grams.
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final double grams;
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/// Returns this component as a JSON-ready map with snake_case keys.
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Map<String, Object?> toJson() => {
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'name': name,
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'kcal': kcal,
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'protein_g': proteinG,
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'carbs_g': carbsG,
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'fat_g': fatG,
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'grams': grams,
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};
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}
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