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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/// Renders ranked food-bank autocomplete suggestions.
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library;
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import 'package:diet_guard_app/models/food_suggestion.dart';
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import 'package:flutter/material.dart';
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/// A tappable list of [FoodSuggestion]s, each filling the form on tap.
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2026-07-04 05:19:23 +02:00
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///
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/// When [compact] is true, only the top 3 suggestions render as compact
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/// single-line rows, with a "N more" button opening the full list in a
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/// bottom sheet so nothing becomes unreachable.
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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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class AutocompleteSuggestionList extends StatelessWidget {
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/// Creates an [AutocompleteSuggestionList] for [suggestions].
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const AutocompleteSuggestionList({
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required this.suggestions,
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required this.onSelected,
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2026-07-04 05:19:23 +02:00
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this.compact = false,
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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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super.key,
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});
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/// Ranked suggestions to display, best match first.
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final List<FoodSuggestion> suggestions;
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/// Called with the chosen suggestion when the user taps it.
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final ValueChanged<FoodSuggestion> onSelected;
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2026-07-04 05:19:23 +02:00
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/// Whether to render a top-3 compact list with a "more" popup instead
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/// of the full unbounded list.
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final bool compact;
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static const int _compactLimit = 3;
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Future<void> _showMore(BuildContext context) async {
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await showModalBottomSheet<void>(
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context: context,
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builder: (sheetContext) => SafeArea(
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child: AutocompleteSuggestionList(
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suggestions: suggestions,
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onSelected: (suggestion) {
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Navigator.of(sheetContext).pop();
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onSelected(suggestion);
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},
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),
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),
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);
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}
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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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@override
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Widget build(BuildContext context) {
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if (suggestions.isEmpty) return const SizedBox.shrink();
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2026-07-04 05:19:23 +02:00
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if (!compact) {
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return ListView.builder(
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shrinkWrap: true,
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itemCount: suggestions.length,
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itemBuilder: (context, index) {
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final suggestion = suggestions[index];
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return ListTile(
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dense: true,
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title: Text(suggestion.name),
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subtitle: Text(
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'${suggestion.nutrition.kcal.toStringAsFixed(0)} kcal',
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),
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onTap: () => onSelected(suggestion),
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);
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},
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);
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}
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final shown = suggestions.take(_compactLimit).toList();
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final remaining = suggestions.length - shown.length;
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return Column(
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mainAxisSize: MainAxisSize.min,
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crossAxisAlignment: CrossAxisAlignment.start,
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children: [
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for (final suggestion in shown)
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InkWell(
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onTap: () => onSelected(suggestion),
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child: Padding(
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padding: const EdgeInsets.symmetric(vertical: 4),
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child: Text(
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'${suggestion.name} · '
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'${suggestion.nutrition.kcal.toStringAsFixed(0)} kcal',
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overflow: TextOverflow.ellipsis,
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),
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),
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),
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if (remaining > 0)
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TextButton(
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onPressed: () => _showMore(context),
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child: Text('$remaining more'),
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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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),
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2026-07-04 05:19:23 +02:00
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],
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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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);
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}
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}
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