joungmin
8fe6a8f378
- Drift 21 tables (8 catalog + 11 user + habit_dose_variants + meta_kv) with R1~R10 CHECK constraints and 19 indexes - 8 hand-crafted seed JSON catalogs in app/assets/seed/ (refs 84, protocols 34, methodologies 21, frame_patterns 30, reward_menu_items 30, break_protocols 8, common_frames 5, diet_patterns 5) - 6 domain functions: recommend_variant, compute_streak, validate_frame_level, active_habit_quota, weekly_minimum_ratio, seed_importer (transactional, idempotent) - 4 vertical-slice Riverpod screens: HabitList, HabitCreate, CheckIn, Streak - 31 unit tests passing; flutter analyze clean - OQ-5 streak semantics: missing entry ≠ explicit blank (missing = end of history; only TrackerValue.blank triggers Never-miss-twice) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
87 lines
2.9 KiB
Dart
87 lines
2.9 KiB
Dart
import 'package:flutter_test/flutter_test.dart';
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import 'package:life_helper/domain/frame/validate_frame_level.dart';
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import 'package:life_helper/domain/models/frame_pattern.dart';
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import 'package:life_helper/domain/models/habit.dart';
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final _patterns = <FramePatternModel>[
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const FramePatternModel(
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id: 'fp_alcohol',
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domain: 'drink',
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avoidanceKeyword: '술 끊기',
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l0Example: '술 끊기',
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l1SimpleReplace: '음주 중단',
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l2Suggestion: '저녁엔 무알콜 음료 마시기',
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l3Identity: '나는 맑은 정신을 우선시하는 사람이다',
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),
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const FramePatternModel(
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id: 'fp_general',
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domain: 'general',
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avoidanceKeyword: '안 하기',
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l0Example: '안 하기',
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l2Suggestion: '대신 다른 행동 정의하기',
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),
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];
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void main() {
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test('empty framed text → reject', () {
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final r = validateFrameLevel(
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const FrameInput(level: FrameLevel.l2, framedText: ''),
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knownPatterns: _patterns,
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);
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expect(r.status, FrameValidationStatus.reject);
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});
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test('L0 → reject + suggestions', () {
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final r = validateFrameLevel(
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const FrameInput(level: FrameLevel.l0, framedText: '술 끊기'),
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knownPatterns: _patterns,
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);
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expect(r.status, FrameValidationStatus.reject);
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expect(r.suggestions, isNotEmpty);
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expect(r.suggestions.any((s) => s.level == FrameLevel.l2), true);
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});
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test('L1 → reject + suggestions even when not matching any keyword', () {
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final r = validateFrameLevel(
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const FrameInput(level: FrameLevel.l1, framedText: '담배 줄이기'),
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knownPatterns: _patterns,
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);
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expect(r.status, FrameValidationStatus.reject);
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// Should fall back to 'general' domain suggestion.
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expect(r.suggestions, isNotEmpty);
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});
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test('L2 clean → accept', () {
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final r = validateFrameLevel(
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const FrameInput(level: FrameLevel.l2, framedText: '저녁엔 무알콜 음료 마시기'),
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knownPatterns: _patterns,
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);
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expect(r.status, FrameValidationStatus.accept);
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expect(r.suggestions, isEmpty);
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});
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test('L2 with embedded avoidance keyword → warn', () {
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final r = validateFrameLevel(
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const FrameInput(level: FrameLevel.l2, framedText: '술 끊기로 다짐'),
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knownPatterns: _patterns,
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);
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expect(r.status, FrameValidationStatus.warn);
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expect(r.avoidanceHits, isNotEmpty);
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expect(r.avoidanceHits.first.keyword, '술 끊기');
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});
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test('L3 identity frame, clean → accept', () {
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final r = validateFrameLevel(
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const FrameInput(level: FrameLevel.l3, framedText: '나는 맑은 정신을 우선시한다'),
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knownPatterns: _patterns,
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);
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expect(r.status, FrameValidationStatus.accept);
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});
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test('detectAvoidanceKeywords finds multiple occurrences', () {
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final hits =
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detectAvoidanceKeywords('술 끊기 / 다시 술 끊기 / 끝', _patterns);
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expect(hits.length, 2);
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});
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}
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