QA round 1 (commit 9a9eb2a) FAIL 시 누락된 두 AC 보강.
AC-6: device_info_plus 만으론 4GB 임계 측정 불가 (isLowRamDevice 는
~1GB 기준). MethodChannel `life_helper/device_caps` 신설 + MainActivity.kt
에서 ActivityManager.MemoryInfo.totalMem 노출. data/ai/device_capabilities.dart
는 DeviceCapabilities abstract + PlatformDeviceCapabilities + 4 GiB
임계. deviceMeetsAiRamProvider (FutureProvider<bool>, fail-closed).
SettingsScreen 토글 disabled + "RAM 부족" 안내 (RAM < 4GB).
AC-10: docs/reference/215-ai-frame-suggest.md 의 OQ-1/placeholder
6곳을 실 구현 표현으로 갱신. §8 알려진 제약 = AC-6 device gate +
AC-7 실 단말 E2E + F1 unload + #221 corpus 평가. §9 다음 단계 =
#219~#222 follow-up 목록. 신규 테스트 합계 41 / 전체 88 통과.
테스트: device_capabilities_test.dart 7 신규 (kAiMinRamBytes 동등,
null/0/3.9GB/4GB-1/4GB/8GB 경계). flutter analyze 무이슈, 전체 88 통과
(71 기존 + 10 gemma + 7 RAM gate).
Architect 설계서 §4 의 "RAM 4GB 차단 = AC-9 재활용" 문구는 사실 #215
미구현 사항이라 본 라운드에서 신규 추가했음을 README 에 명기.
Refs #218
208 lines
6.6 KiB
Dart
208 lines
6.6 KiB
Dart
import 'dart:async';
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import 'package:flutter_riverpod/flutter_riverpod.dart';
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import '../data/ai/device_capabilities.dart';
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import '../data/ai/llm_service.dart';
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import '../data/ai/model_lifecycle.dart';
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import '../data/db/app_database.dart' as drift;
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import '../domain/ai/frame_candidate.dart';
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import '../domain/ai/suggest_frame.dart';
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import '../domain/models/frame_pattern.dart';
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import 'providers.dart';
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/// Gemma 4 E2B instruction-tuned LiteRT-LM checkpoint (#218 OQ-1 resolved).
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/// Hosted on HuggingFace `litert-community/gemma-4-E2B-it-litert-lm`.
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/// File ≈ 2.41GB; SHA-256 pinned for integrity check.
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///
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/// Tests / placeholder builds may override `modelLifecycleProvider` with
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/// fixture URLs. Production builds optionally inject a private mirror via
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/// `--dart-define=GEMMA_MODEL_URL=...` (see main.dart).
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const _kModelUrl =
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'https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm/resolve/main/gemma-4-E2B-it.litertlm';
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const _kModelSha256 =
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'181938105e0eefd105961417e8da75903eacda102c4fce9ce90f50b97139a63c';
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/// #218 AC-6: device-capability gate. RAM < 4GB → AI feature disabled.
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/// Default implementation calls the `life_helper/device_caps` MethodChannel
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/// (Android). Override in tests with a `_FakeDeviceCapabilities`.
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final deviceCapabilitiesProvider = Provider<DeviceCapabilities>((ref) {
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return PlatformDeviceCapabilities();
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});
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/// `true` iff the device has ≥ 4GB RAM. Default `false` (fail-closed) while
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/// the platform call is in flight or on unsupported hosts (iOS / test).
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final deviceMeetsAiRamProvider = FutureProvider<bool>((ref) async {
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return ref.watch(deviceCapabilitiesProvider).meetsAiMinRam();
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});
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final modelLifecycleProvider = Provider<ModelLifecycle>((ref) {
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return ModelLifecycle(
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meta: ref.watch(metaDaoProvider),
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config: ModelConfig(
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url: Uri.parse(_kModelUrl),
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expectedSha256: _kModelSha256,
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),
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);
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});
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/// Read-only opt-in state. Default OFF; persisted in `meta_kv`.
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final aiSettingsProvider = FutureProvider<bool>((ref) async {
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final meta = ref.watch(metaDaoProvider);
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final v = await meta.find(AiMetaKeys.optIn);
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return v == 'true';
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});
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/// Toggles opt-in. On opt-out, purges model file via [ModelLifecycle.purge].
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/// On opt-in, kicks off `ModelDownloadController.start()` so AC2 (progress UI)
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/// has a stream to subscribe to.
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class AiSettingsController {
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AiSettingsController(this.ref);
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final Ref ref;
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Future<int> setOptIn(bool value) async {
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final meta = ref.read(metaDaoProvider);
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if (value) {
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await meta.put(AiMetaKeys.optIn, 'true');
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ref.invalidate(aiSettingsProvider);
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ref.invalidate(modelAvailabilityProvider);
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// AC2: opt-in triggers download stream so Settings UI can render
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// progress + pause/resume. Fire-and-forget; controller emits states.
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ref.read(modelDownloadControllerProvider.notifier).start();
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return 0;
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}
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// opt-out: cancel any in-flight download, then purge.
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ref.read(modelDownloadControllerProvider.notifier).cancel();
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final freed = await ref.read(modelLifecycleProvider).purge();
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await meta.put(AiMetaKeys.optIn, 'false');
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ref.invalidate(aiSettingsProvider);
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ref.invalidate(modelAvailabilityProvider);
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return freed;
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}
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}
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final aiSettingsControllerProvider = Provider<AiSettingsController>((ref) {
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return AiSettingsController(ref);
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});
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/// AC2: streams DownloadProgress + supports pause/resume/cancel.
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/// State `null` means idle (no active subscription).
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class ModelDownloadController extends StateNotifier<DownloadProgress?> {
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ModelDownloadController(this.ref) : super(null);
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final Ref ref;
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StreamSubscription<DownloadProgress>? _sub;
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void start() {
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cancel();
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final lc = ref.read(modelLifecycleProvider);
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_sub = lc.download().listen(
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(p) {
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state = p;
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if (p.state == DownloadState.completed) {
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ref.invalidate(modelAvailabilityProvider);
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}
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},
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onError: (Object e) {
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state = DownloadProgress(
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bytesReceived: state?.bytesReceived ?? 0,
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totalBytes: state?.totalBytes ?? -1,
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state: DownloadState.failed,
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errorMessage: e.toString(),
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);
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},
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onDone: () {
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_sub = null;
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},
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);
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}
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/// Pauses by cancelling the subscription. .tmp file + meta_kv preserved so
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/// `start()` resumes via HTTP Range header.
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void pause() {
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_sub?.cancel();
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_sub = null;
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final cur = state;
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if (cur != null && cur.state != DownloadState.completed) {
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state = DownloadProgress(
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bytesReceived: cur.bytesReceived,
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totalBytes: cur.totalBytes,
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state: DownloadState.paused,
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);
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}
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}
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void resume() => start();
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void cancel() {
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_sub?.cancel();
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_sub = null;
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state = null;
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}
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@override
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void dispose() {
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_sub?.cancel();
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super.dispose();
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}
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}
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final modelDownloadControllerProvider =
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StateNotifierProvider<ModelDownloadController, DownloadProgress?>(
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(ref) => ModelDownloadController(ref),
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);
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final modelAvailabilityProvider =
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FutureProvider<ModelAvailability>((ref) async {
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final lc = ref.watch(modelLifecycleProvider);
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return lc.checkAvailability();
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});
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/// Loads FramePatterns from DB and converts to domain models.
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final framePatternsProvider = FutureProvider<List<FramePatternModel>>(
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(ref) async {
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final db = ref.watch(appDatabaseProvider);
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final rows = await db.select(db.framePatterns).get();
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return rows.map(_toDomain).toList(growable: false);
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},
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);
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FramePatternModel _toDomain(drift.FramePattern r) => FramePatternModel(
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id: r.id,
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domain: r.domain,
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avoidanceKeyword: r.avoidanceKeyword,
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l0Example: r.l0Example,
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l1SimpleReplace: r.l1SimpleReplace,
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l2Suggestion: r.l2Suggestion,
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l3Identity: r.l3Identity,
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);
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/// Singleton LLM service for the app. v1 starts unloaded; first
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/// [suggestFrame] triggers `.load()` via the dialog. Override in tests with
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/// `MockLlmService`.
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final llmServiceProvider = Provider<LlmService>((ref) {
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throw UnimplementedError(
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'llmServiceProvider must be overridden (Mock in tests, '
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'GemmaLlmService after OQ-1 in production).',
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);
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});
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/// `family` param wraps a SuggestFrameInput. Loads model lazily before
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/// calling suggestFrame.
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final frameSuggestionsProvider = FutureProvider.autoDispose
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.family<List<FrameCandidate>, SuggestFrameInput>((ref, input) async {
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final llm = ref.watch(llmServiceProvider);
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final patterns = await ref.watch(framePatternsProvider.future);
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if (!llm.isLoaded) {
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try {
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await llm.load();
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} catch (_) {
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return const [];
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}
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}
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return suggestFrame(
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input,
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llm: llm,
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framePatterns: patterns,
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);
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});
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