설계서대로 구현. flutter_gemma 실제 통합은 OQ-1 (모델 URL+SHA) 확정 후.
v1은 LlmService 추상 + ModelLifecycle (다운로드/SHA/purge) + Riverpod
providers + 다이얼로그 + Settings 화면까지. main.dart 가 MockLlmService 를
override 해 모든 경로가 graceful (suggest 결과는 빈 리스트).
추가:
- lib/data/ai/{llm_service,gemma_llm_service,model_lifecycle}.dart
- lib/domain/ai/{frame_candidate,few_shot_builder,parse_response,suggest_frame}.dart
- lib/state/ai_providers.dart (aiSettings + modelAvailability + frameSuggestions)
- lib/ui/screens/settings_screen.dart (opt-in 토글 + 모델 상태 표시)
- lib/ui/widgets/frame_suggestion_dialog.dart (후보 3개 카드 + 다시 시도)
- HabitCreateScreen: "AI 제안" 버튼 (opt-in + ready 일 때만 노출)
- MetaDao.remove(key) 추가 (purge 용)
테스트 31개 신규 추가 (총 62개 통과):
- test/domain/ai/{suggest_frame, few_shot_builder, parse_response}_test.dart
- test/data/ai/model_lifecycle_test.dart (download/SHA/purge/availability)
flutter analyze 0 issue, flutter build apk --debug 통과.
Refs #215
194 lines
5.9 KiB
Dart
194 lines
5.9 KiB
Dart
import 'dart:async';
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import 'dart:convert';
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import 'dart:io';
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import 'package:crypto/crypto.dart';
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import 'package:drift/native.dart';
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import 'package:flutter_test/flutter_test.dart';
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import 'package:http/http.dart' as http;
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import 'package:life_helper/data/ai/model_lifecycle.dart';
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import 'package:life_helper/data/db/app_database.dart';
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import 'package:life_helper/data/db/daos/meta_dao.dart';
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class _FakeStorage implements StorageAdapter {
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_FakeStorage(this.dir);
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final Directory dir;
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Future<http.StreamedResponse> Function(Uri url, int from)? handler;
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@override
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Future<Directory> supportDir() async => dir;
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@override
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Future<http.StreamedResponse> rangeGet(Uri url, int from) {
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final h = handler;
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if (h == null) {
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throw StateError('no handler');
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}
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return h(url, from);
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}
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}
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http.StreamedResponse _streamed(
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List<int> bytes, {
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int status = 200,
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}) {
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return http.StreamedResponse(
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Stream.value(bytes),
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status,
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contentLength: bytes.length,
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);
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}
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void main() {
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late AppDatabase db;
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late MetaDao meta;
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late Directory tmp;
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late _FakeStorage storage;
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const url = 'https://example/model.bin';
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setUp(() async {
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db = AppDatabase(NativeDatabase.memory());
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meta = MetaDao(db);
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tmp = await Directory.systemTemp.createTemp('lifecycle_test_');
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storage = _FakeStorage(tmp);
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});
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tearDown(() async {
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await db.close();
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if (tmp.existsSync()) await tmp.delete(recursive: true);
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});
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test('checkAvailability missing when opt_in false', () async {
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final lc = ModelLifecycle(
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meta: meta,
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config: ModelConfig(url: Uri.parse(url), expectedSha256: 'x'),
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storage: storage,
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);
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expect(await lc.checkAvailability(), ModelAvailability.missing);
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});
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test('download writes file, sets meta keys, completes with ready', () async {
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final payload = utf8.encode('hello world fake model');
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final expected = sha256.convert(payload).toString();
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final lc = ModelLifecycle(
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meta: meta,
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config: ModelConfig(
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url: Uri.parse(url),
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expectedSha256: expected,
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filename: 'gemma_test.bin',
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),
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storage: storage,
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);
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storage.handler = (_, from) async => _streamed(payload);
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await meta.put(AiMetaKeys.optIn, 'true');
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final progresses = await lc.download().toList();
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expect(progresses.last.state, DownloadState.completed);
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expect(progresses.last.bytesReceived, payload.length);
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expect(await meta.find(AiMetaKeys.downloadState), 'completed');
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final p = await meta.find(AiMetaKeys.modelPath);
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expect(p, isNotNull);
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expect(File(p!).existsSync(), true);
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expect(await meta.find(AiMetaKeys.modelSha), expected);
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expect(await lc.checkAvailability(), ModelAvailability.ready);
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});
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test('SHA mismatch deletes file and emits failed', () async {
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final payload = utf8.encode('payload');
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final lc = ModelLifecycle(
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meta: meta,
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config: ModelConfig(
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url: Uri.parse(url),
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expectedSha256: 'deadbeef',
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filename: 'gemma_bad.bin',
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),
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storage: storage,
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);
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storage.handler = (_, from) async => _streamed(payload);
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await meta.put(AiMetaKeys.optIn, 'true');
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final progresses = await lc.download().toList();
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expect(progresses.last.state, DownloadState.failed);
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expect(progresses.last.errorMessage, contains('sha'));
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final pathStr = '${tmp.path}/gemma_bad.bin';
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expect(File(pathStr).existsSync(), false);
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});
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test('network error → paused, file preserved for resume', () async {
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final lc = ModelLifecycle(
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meta: meta,
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config: ModelConfig(
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url: Uri.parse(url),
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expectedSha256: 'x',
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filename: 'gemma_net.bin',
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),
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storage: storage,
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);
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storage.handler = (_, from) async => throw const SocketException('down');
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await meta.put(AiMetaKeys.optIn, 'true');
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final progresses = await lc.download().toList();
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expect(progresses.last.state, DownloadState.failed);
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expect(await meta.find(AiMetaKeys.downloadState), 'paused');
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});
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test('purge deletes file + clears meta keys (idempotent)', () async {
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final payload = utf8.encode('xx');
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final expected = sha256.convert(payload).toString();
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final lc = ModelLifecycle(
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meta: meta,
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config: ModelConfig(
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url: Uri.parse(url),
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expectedSha256: expected,
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filename: 'gemma_purge.bin',
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),
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storage: storage,
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);
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storage.handler = (_, from) async => _streamed(payload);
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await meta.put(AiMetaKeys.optIn, 'true');
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await lc.download().toList();
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final freed = await lc.purge();
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expect(freed, payload.length);
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expect(await meta.find(AiMetaKeys.modelPath), isNull);
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expect(await meta.find(AiMetaKeys.modelSha), isNull);
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expect(await meta.find(AiMetaKeys.downloadState), isNull);
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// Idempotent — second purge returns 0 without throwing.
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expect(await lc.purge(), 0);
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});
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test('checkAvailability detects download in progress', () async {
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final lc = ModelLifecycle(
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meta: meta,
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config: ModelConfig(url: Uri.parse(url), expectedSha256: 'x'),
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storage: storage,
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);
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await meta.put(AiMetaKeys.optIn, 'true');
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await meta.put(AiMetaKeys.downloadState, 'paused');
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expect(await lc.checkAvailability(), ModelAvailability.downloading);
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});
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test('checkAvailability returns corrupt when file SHA mismatches', () async {
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const file = 'gemma_corrupt.bin';
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final lc = ModelLifecycle(
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meta: meta,
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config: ModelConfig(
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url: Uri.parse(url),
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expectedSha256: 'wrong',
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filename: file,
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),
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storage: storage,
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);
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await meta.put(AiMetaKeys.optIn, 'true');
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final path = '${tmp.path}/$file';
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File(path).writeAsStringSync('payload');
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await meta.put(AiMetaKeys.modelPath, path);
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await meta.put(AiMetaKeys.modelSha, 'expected_but_actual_will_differ');
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expect(await lc.checkAvailability(), ModelAvailability.corrupt);
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});
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}
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