Add Flutter companion app skeleton with local meal logging
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
2026-06-22 18:22:42 +02:00
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import 'dart:io';
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import 'package:diet_guard_app/main.dart';
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import 'package:diet_guard_app/services/foodbank_service.dart';
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import 'package:diet_guard_app/services/log_storage_service.dart';
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import 'package:flutter_test/flutter_test.dart';
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void main() {
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late Directory tempDir;
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setUp(() async {
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tempDir = await Directory.systemTemp.createTemp('diet_guard_app_');
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LogStorageService.resetForTesting(testDir: tempDir);
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FoodBankService.resetForTesting(testDir: tempDir);
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});
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tearDown(() async {
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LogStorageService.resetForTesting();
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FoodBankService.resetForTesting();
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await tempDir.delete(recursive: true);
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});
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2026-07-04 05:18:32 +02:00
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testWidgets('app launches straight into the meal-logging screen', (
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tester,
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) async {
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Add Flutter companion app skeleton with local meal logging
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
2026-06-22 18:22:42 +02:00
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// LogMealScreen's initState does real dart:io file I/O; pumpAndSettle()
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// alone never lets that resolve (see log_meal_screen_test.dart).
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await tester.runAsync(() async {
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await tester.pumpWidget(const DietGuardApp());
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await tester.pumpAndSettle();
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});
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expect(find.text('Diet Guard'), findsOneWidget);
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expect(find.text('What did you eat?'), findsOneWidget);
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});
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}
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