ADR-0005 in-process tool runtime — 6 tools (catalog 2 + tracker 2 + habit 2), ToolDispatcher with JSON-schema validation + modal ConfirmGate for destructive ops, multi-turn LlmChatSession abstraction wired to flutter_gemma 0.16.5 (ToolChoice.auto), ChatSessionController with MAX_TURNS=4 safety + 8-turn history hint, ChatScreen entry behind AI opt-in. R3/R7/R8 enforced inside handlers. 41 new tests (envelope, catalog/tracker/habit tools, dispatcher, controller loop) — 151 total passing. Refs #260
104 lines
3.3 KiB
Dart
104 lines
3.3 KiB
Dart
import 'package:flutter/material.dart';
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import 'package:flutter_riverpod/flutter_riverpod.dart';
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import 'ai/tools/tool_definition.dart' as tools;
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import 'data/ai/gemma_llm_service.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/daos/meta_dao.dart';
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import 'state/ai_providers.dart';
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import 'state/providers.dart';
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import 'ui/screens/habit_list_screen.dart';
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Future<void> main() async {
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WidgetsFlutterBinding.ensureInitialized();
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final db = await openProductionDatabase();
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runApp(ProviderScope(
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overrides: [
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appDatabaseProvider.overrideWithValue(db),
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// #218: real GemmaLlmService when model file is on disk + verified,
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// MockLlmService otherwise. The provider is read lazily by the frame
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// suggestion flow, so the resolution is dynamic per call.
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llmServiceProvider.overrideWith((ref) {
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return _LazyLlmService(
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lifecycle: ref.watch(modelLifecycleProvider),
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meta: ref.watch(metaDaoProvider),
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);
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}),
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],
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child: const LifeHelperApp(),
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));
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}
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/// Adapter that lazily resolves between [GemmaLlmService] (when the
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/// model file exists + meta is intact) and [MockLlmService] (fallback,
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/// graceful empty candidates). Keeps the rest of the app unaware of
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/// the difference — `suggestFrame` only sees [LlmService].
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class _LazyLlmService implements LlmService {
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_LazyLlmService({required this.lifecycle, required this.meta});
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final ModelLifecycle lifecycle;
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final MetaDao meta;
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LlmService? _delegate;
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Future<LlmService> _resolve() async {
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final avail = await lifecycle.checkAvailability();
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final path = await meta.find(AiMetaKeys.modelPath);
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final wantGemma = avail == ModelAvailability.ready && path != null;
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// Re-resolve every call so opt-in / opt-out state changes are reflected
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// without an app restart. Repeat-resolve of the same kind reuses the
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// cached instance (Gemma's flutter_gemma installModel is idempotent;
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// Mock has no setup), but the kind itself flips when availability does.
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final keep = _delegate != null &&
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(wantGemma == (_delegate is GemmaLlmService)) &&
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(!wantGemma ||
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(_delegate as GemmaLlmService).modelPath == path);
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if (!keep) {
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_delegate = wantGemma
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? GemmaLlmService(modelPath: path)
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: MockLlmService();
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}
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return _delegate!;
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}
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@override
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bool get isLoaded => _delegate?.isLoaded ?? false;
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@override
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Future<void> load() async => (await _resolve()).load();
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@override
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Future<void> unload() async {
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final d = _delegate;
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if (d != null) await d.unload();
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}
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@override
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Future<Map<String, dynamic>> generateStructured(
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String prompt,
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Map<String, dynamic> schema,
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) async =>
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(await _resolve()).generateStructured(prompt, schema);
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@override
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Future<LlmChatSession> startChat({
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required List<tools.ToolDefinition> tools,
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}) async =>
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(await _resolve()).startChat(tools: tools);
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}
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class LifeHelperApp extends StatelessWidget {
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const LifeHelperApp({super.key});
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@override
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Widget build(BuildContext context) {
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return MaterialApp(
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title: 'life-helper',
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theme: ThemeData(
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colorScheme: ColorScheme.fromSeed(seedColor: Colors.indigo),
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useMaterial3: true,
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),
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home: const HabitListScreen(),
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);
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}
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}
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