马良AI写作初始化仓库
This commit is contained in:
邓滨杰
996
AINoval/lib/blocs/preset/preset_bloc.dart
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996
AINoval/lib/blocs/preset/preset_bloc.dart
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@@ -0,0 +1,996 @@
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import 'package:flutter_bloc/flutter_bloc.dart';
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import 'package:ainoval/blocs/preset/preset_event.dart';
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import 'package:ainoval/blocs/preset/preset_state.dart';
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import 'package:ainoval/services/api_service/repositories/preset_aggregation_repository.dart';
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import 'package:ainoval/services/api_service/repositories/ai_preset_repository.dart';
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import 'package:ainoval/models/preset_models.dart';
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import 'package:ainoval/utils/logger.dart';
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/// 预设管理BLoC
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/// 负责处理预设相关的业务逻辑和状态管理
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class PresetBloc extends Bloc<PresetEvent, PresetState> {
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static const String _tag = 'PresetBloc';
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final PresetAggregationRepository _aggregationRepository;
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final AIPresetRepository _presetRepository;
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PresetBloc({
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required PresetAggregationRepository aggregationRepository,
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required AIPresetRepository presetRepository,
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}) : _aggregationRepository = aggregationRepository,
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_presetRepository = presetRepository,
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super(const PresetState.initial()) {
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on<LoadUserPresetOverview>(_onLoadUserPresetOverview);
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on<LoadPresetPackage>(_onLoadPresetPackage);
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on<LoadBatchPresetPackages>(_onLoadBatchPresetPackages);
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on<LoadGroupedPresets>(_onLoadGroupedPresets);
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on<LoadAllPresetData>(_onLoadAllPresetData);
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on<AddPresetToCache>(_onAddPresetToCache);
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on<SelectPreset>(_onSelectPreset);
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on<CreatePreset>(_onCreatePreset);
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on<OverwritePreset>(_onOverwritePreset);
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on<UpdatePreset>(_onUpdatePreset);
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on<DeletePreset>(_onDeletePreset);
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on<DuplicatePreset>(_onDuplicatePreset);
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on<TogglePresetFavorite>(_onTogglePresetFavorite);
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on<TogglePresetQuickAccess>(_onTogglePresetQuickAccess);
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on<SearchPresets>(_onSearchPresets);
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on<ClearPresetSearch>(_onClearPresetSearch);
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on<RefreshPresetData>(_onRefreshPresetData);
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on<WarmupPresetCache>(_onWarmupPresetCache);
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}
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/// 加载用户预设概览
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Future<void> _onLoadUserPresetOverview(
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LoadUserPresetOverview event,
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Emitter<PresetState> emit,
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) async {
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try {
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emit(state.copyWith(isLoading: true, errorMessage: null));
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final overview = await _aggregationRepository.getUserPresetOverview();
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emit(state.copyWith(
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isLoading: false,
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userOverview: overview,
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));
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AppLogger.i(_tag, '用户预设概览加载成功');
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} catch (e) {
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AppLogger.e(_tag, '加载用户预设概览失败', e);
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emit(state.copyWith(
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isLoading: false,
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errorMessage: '加载用户预设概览失败: ${e.toString()}',
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));
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}
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}
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/// 加载预设包
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Future<void> _onLoadPresetPackage(
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LoadPresetPackage event,
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Emitter<PresetState> emit,
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) async {
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try {
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emit(state.copyWith(isLoading: true, errorMessage: null));
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final package = await _aggregationRepository.getCompletePresetPackage(
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event.featureType,
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novelId: event.novelId,
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);
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emit(state.copyWith(
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isLoading: false,
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currentPackage: package,
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));
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AppLogger.i(_tag, '预设包加载成功: ${event.featureType}');
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} catch (e) {
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AppLogger.e(_tag, '加载预设包失败: ${event.featureType}', e);
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emit(state.copyWith(
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isLoading: false,
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errorMessage: '加载预设包失败: ${e.toString()}',
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));
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}
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}
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/// 加载批量预设包
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Future<void> _onLoadBatchPresetPackages(
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LoadBatchPresetPackages event,
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Emitter<PresetState> emit,
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) async {
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try {
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emit(state.copyWith(isLoading: true, errorMessage: null));
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final packages = await _aggregationRepository.getBatchPresetPackages(
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featureTypes: event.featureTypes,
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novelId: event.novelId,
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);
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emit(state.copyWith(
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isLoading: false,
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batchPackages: packages,
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));
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AppLogger.i(_tag, '批量预设包加载成功: ${packages.length} 个');
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} catch (e) {
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AppLogger.e(_tag, '加载批量预设包失败', e);
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emit(state.copyWith(
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isLoading: false,
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errorMessage: '加载批量预设包失败: ${e.toString()}',
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));
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}
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}
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/// 加载分组预设
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Future<void> _onLoadGroupedPresets(
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LoadGroupedPresets event,
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Emitter<PresetState> emit,
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) async {
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try {
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emit(state.copyWith(isLoading: true, errorMessage: null));
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final groupedPresets = await _presetRepository.getUserPresetsByFeatureType(
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userId: event.userId,
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);
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// 加载系统预设并合并
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final systemPresets = await _presetRepository.getSystemPresets();
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// 合并系统预设到分组中
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final mergedGroupedPresets = Map<String, List<AIPromptPreset>>.from(groupedPresets);
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for (final preset in systemPresets) {
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final featureType = preset.aiFeatureType;
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if (!mergedGroupedPresets.containsKey(featureType)) {
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mergedGroupedPresets[featureType] = [];
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}
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mergedGroupedPresets[featureType]!.insert(0, preset);
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}
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emit(state.copyWith(
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isLoading: false,
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groupedPresets: mergedGroupedPresets,
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));
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AppLogger.i(_tag, '分组预设加载成功: ${mergedGroupedPresets.length} 个分组');
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} catch (e) {
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AppLogger.e(_tag, '加载分组预设失败', e);
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emit(state.copyWith(
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isLoading: false,
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errorMessage: '加载分组预设失败: ${e.toString()}',
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));
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}
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}
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/// 选择预设
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Future<void> _onSelectPreset(
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SelectPreset event,
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Emitter<PresetState> emit,
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) async {
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try {
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// 🚀 修复：优先从已加载的聚合数据中查找预设，避免重复请求后端
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AIPromptPreset? preset;
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if (state.allPresetData != null) {
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// 从聚合数据的所有预设中查找
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preset = state.allPresetData!.allPresets
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.where((p) => p.presetId == event.presetId)
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.firstOrNull;
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if (preset != null) {
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AppLogger.i(_tag, '✅ 从聚合数据中找到预设: ${event.presetId}');
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}
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}
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// 如果聚合数据中没有找到，尝试从分组预设中查找
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if (preset == null && state.groupedPresets.isNotEmpty) {
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for (final presets in state.groupedPresets.values) {
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preset = presets
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.where((p) => p.presetId == event.presetId)
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.firstOrNull;
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if (preset != null) {
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AppLogger.i(_tag, '✅ 从分组预设中找到预设: ${event.presetId}');
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break;
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}
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}
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}
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// 最后的回退：如果缓存中都没有，才去后端获取
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if (preset == null) {
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AppLogger.w(_tag, '⚠️ 缓存中未找到预设，从后端获取: ${event.presetId}');
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preset = await _presetRepository.getPresetById(event.presetId);
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}
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emit(state.copyWith(
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selectedPreset: preset,
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errorMessage: null,
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));
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AppLogger.i(_tag, '📘 预设选择成功: ${event.presetId}');
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} catch (e) {
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AppLogger.e(_tag, '选择预设失败: ${event.presetId}', e);
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emit(state.copyWith(
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errorMessage: '选择预设失败: ${e.toString()}',
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));
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}
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}
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/// 创建预设
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Future<void> _onCreatePreset(
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CreatePreset event,
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Emitter<PresetState> emit,
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) async {
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try {
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emit(state.copyWith(isLoading: true, errorMessage: null));
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final newPreset = await _presetRepository.createPreset(event.request);
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// 🚀 优化：直接更新本地状态，不重新请求API
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final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
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final newFeatureType = newPreset.aiFeatureType;
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// 🚀 修复：处理功能类型格式不一致问题
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// 先查找是否存在相同功能类型的其他格式键
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String? existingKey = _findExistingFeatureTypeKey(updatedGroupedPresets, newFeatureType);
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final targetKey = existingKey ?? newFeatureType;
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if (updatedGroupedPresets.containsKey(targetKey)) {
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// 将新预设添加到对应功能类型的列表开头
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updatedGroupedPresets[targetKey] = [newPreset, ...updatedGroupedPresets[targetKey]!];
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} else {
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// 如果该功能类型还没有预设，创建新列表
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updatedGroupedPresets[targetKey] = [newPreset];
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}
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AppLogger.i(_tag, '📋 预设添加到分组: $targetKey (原始类型: $newFeatureType)');
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// 🚀 新增：同时更新聚合数据缓存
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final newAllPresetData = state.allPresetData != null
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? _addPresetToAggregatedData(state.allPresetData!, newPreset)
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: null;
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emit(state.copyWith(
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isLoading: false,
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selectedPreset: newPreset,
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groupedPresets: updatedGroupedPresets,
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allPresetData: newAllPresetData,
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));
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AppLogger.i(_tag, '📘 预设创建成功: ${newPreset.presetId}');
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} catch (e) {
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AppLogger.e(_tag, '❌ 创建预设失败', e);
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emit(state.copyWith(
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isLoading: false,
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errorMessage: '创建预设失败: ${e.toString()}',
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));
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}
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}
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/// 覆盖更新预设（完整对象）
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Future<void> _onOverwritePreset(
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OverwritePreset event,
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Emitter<PresetState> emit,
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) async {
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try {
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emit(state.copyWith(isLoading: true, errorMessage: null));
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final updatedPreset = await _presetRepository.overwritePreset(event.preset);
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// 🚀 直接更新本地缓存
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final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
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final newFeatureType = updatedPreset.aiFeatureType;
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String? existingKey = _findExistingFeatureTypeKey(updatedGroupedPresets, newFeatureType);
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final targetKey = existingKey ?? newFeatureType;
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if (updatedGroupedPresets.containsKey(targetKey)) {
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final presetList = updatedGroupedPresets[targetKey]!;
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final index = presetList.indexWhere((p) => p.presetId == updatedPreset.presetId);
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if (index != -1) {
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presetList[index] = updatedPreset;
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}
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}
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// 🚀 同时更新聚合数据缓存
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final newAllPresetData = _replacePresetInAggregatedData(state.allPresetData, updatedPreset);
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emit(state.copyWith(
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isLoading: false,
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selectedPreset: updatedPreset,
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groupedPresets: updatedGroupedPresets,
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allPresetData: newAllPresetData,
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));
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AppLogger.i(_tag, '📘 预设覆盖更新成功: ${updatedPreset.presetId}');
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} catch (e) {
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AppLogger.e(_tag, '❌ 覆盖更新预设失败: ${event.preset.presetId}', e);
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emit(state.copyWith(
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isLoading: false,
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errorMessage: '覆盖更新预设失败: ${e.toString()}',
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));
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}
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}
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/// 更新预设
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Future<void> _onUpdatePreset(
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UpdatePreset event,
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Emitter<PresetState> emit,
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) async {
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try {
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emit(state.copyWith(isLoading: true, errorMessage: null));
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AIPromptPreset updatedPreset;
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if (event.infoRequest != null) {
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updatedPreset = await _presetRepository.updatePresetInfo(
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event.presetId,
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event.infoRequest!,
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);
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} else if (event.promptsRequest != null) {
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updatedPreset = await _presetRepository.updatePresetPrompts(
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event.presetId,
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event.promptsRequest!,
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);
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} else {
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throw Exception('更新请求参数错误');
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}
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// 🚀 优化：直接更新本地状态，不重新请求API
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final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
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final newFeatureType = updatedPreset.aiFeatureType;
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// 🚀 修复：处理功能类型格式不一致问题
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String? existingKey = _findExistingFeatureTypeKey(updatedGroupedPresets, newFeatureType);
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final targetKey = existingKey ?? newFeatureType;
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if (updatedGroupedPresets.containsKey(targetKey)) {
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// 找到并替换对应的预设
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final presetList = updatedGroupedPresets[targetKey]!;
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final index = presetList.indexWhere((p) => p.presetId == event.presetId);
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if (index != -1) {
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presetList[index] = updatedPreset;
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AppLogger.i(_tag, '📋 预设更新在分组: $targetKey');
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}
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} else {
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AppLogger.w(_tag, '⚠️ 未找到预设分组进行更新: $targetKey');
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}
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// 🚀 新增：同时更新聚合数据缓存
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final newAllPresetData = _replacePresetInAggregatedData(state.allPresetData, updatedPreset);
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emit(state.copyWith(
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isLoading: false,
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selectedPreset: updatedPreset,
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groupedPresets: updatedGroupedPresets,
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allPresetData: newAllPresetData,
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));
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AppLogger.i(_tag, '📘 预设更新成功: ${event.presetId}');
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} catch (e) {
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AppLogger.e(_tag, '❌ 更新预设失败: ${event.presetId}', e);
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emit(state.copyWith(
|
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isLoading: false,
|
||||
errorMessage: '更新预设失败: ${e.toString()}',
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||||
));
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||||
}
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}
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/// 删除预设
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||||
Future<void> _onDeletePreset(
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DeletePreset event,
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Emitter<PresetState> emit,
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||||
) async {
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||||
try {
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emit(state.copyWith(isLoading: true, errorMessage: null));
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||||
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||||
await _presetRepository.deletePreset(event.presetId);
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// 🚀 优化：直接更新本地状态，不重新请求API
|
||||
final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
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// 从所有功能类型的列表中移除该预设
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for (final entry in updatedGroupedPresets.entries.toList()) {
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final presetList = entry.value;
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presetList.removeWhere((p) => p.presetId == event.presetId);
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// 如果该功能类型的预设列表为空，移除该分组
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if (presetList.isEmpty) {
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updatedGroupedPresets.remove(entry.key);
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||||
}
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}
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// 如果删除的是当前选中预设，清除选择
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||||
final selectedPreset = state.selectedPreset?.presetId == event.presetId ? null : state.selectedPreset;
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||||
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// 🚀 新增：同时更新聚合数据缓存
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||||
final newAllPresetData = _removePresetFromAggregatedData(state.allPresetData, event.presetId);
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||||
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||||
emit(state.copyWith(
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||||
isLoading: false,
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||||
selectedPreset: selectedPreset,
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||||
groupedPresets: updatedGroupedPresets,
|
||||
allPresetData: newAllPresetData,
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||||
));
|
||||
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||||
AppLogger.i(_tag, '📘 预设删除成功: ${event.presetId}');
|
||||
} catch (e) {
|
||||
AppLogger.e(_tag, '❌ 删除预设失败: ${event.presetId}', e);
|
||||
emit(state.copyWith(
|
||||
isLoading: false,
|
||||
errorMessage: '删除预设失败: ${e.toString()}',
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
/// 🚀 复制预设
|
||||
Future<void> _onDuplicatePreset(
|
||||
DuplicatePreset event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
try {
|
||||
emit(state.copyWith(isLoading: true, errorMessage: null));
|
||||
|
||||
final duplicatedPreset = await _presetRepository.duplicatePreset(event.presetId, event.request);
|
||||
|
||||
// 🚀 直接更新本地缓存，类似创建预设的逻辑
|
||||
final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
|
||||
final featureType = duplicatedPreset.aiFeatureType;
|
||||
|
||||
if (updatedGroupedPresets.containsKey(featureType)) {
|
||||
// 将复制的预设添加到对应功能类型的列表开头
|
||||
updatedGroupedPresets[featureType] = [duplicatedPreset, ...updatedGroupedPresets[featureType]!];
|
||||
} else {
|
||||
// 如果该功能类型还没有预设，创建新列表
|
||||
updatedGroupedPresets[featureType] = [duplicatedPreset];
|
||||
}
|
||||
|
||||
// 🚀 同时更新聚合数据缓存
|
||||
final newAllPresetData = state.allPresetData != null
|
||||
? _addPresetToAggregatedData(state.allPresetData!, duplicatedPreset)
|
||||
: null;
|
||||
|
||||
emit(state.copyWith(
|
||||
isLoading: false,
|
||||
selectedPreset: duplicatedPreset,
|
||||
groupedPresets: updatedGroupedPresets,
|
||||
allPresetData: newAllPresetData,
|
||||
));
|
||||
|
||||
AppLogger.i(_tag, '📘 预设复制成功: ${duplicatedPreset.presetId}');
|
||||
} catch (e) {
|
||||
AppLogger.e(_tag, '❌ 复制预设失败: ${event.presetId}', e);
|
||||
emit(state.copyWith(
|
||||
isLoading: false,
|
||||
errorMessage: '复制预设失败: ${e.toString()}',
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
/// 切换预设收藏状态
|
||||
Future<void> _onTogglePresetFavorite(
|
||||
TogglePresetFavorite event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
try {
|
||||
final updatedPreset = await _presetRepository.toggleFavorite(event.presetId);
|
||||
|
||||
// 🚀 优化：直接更新本地状态，不重新请求API
|
||||
final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
|
||||
final newFeatureType = updatedPreset.aiFeatureType;
|
||||
|
||||
// 🚀 修复：处理功能类型格式不一致问题
|
||||
String? existingKey = _findExistingFeatureTypeKey(updatedGroupedPresets, newFeatureType);
|
||||
final targetKey = existingKey ?? newFeatureType;
|
||||
|
||||
if (updatedGroupedPresets.containsKey(targetKey)) {
|
||||
// 找到并替换对应的预设
|
||||
final presetList = updatedGroupedPresets[targetKey]!;
|
||||
final index = presetList.indexWhere((p) => p.presetId == event.presetId);
|
||||
if (index != -1) {
|
||||
presetList[index] = updatedPreset;
|
||||
AppLogger.i(_tag, '📋 预设收藏状态更新在分组: $targetKey');
|
||||
}
|
||||
} else {
|
||||
AppLogger.w(_tag, '⚠️ 未找到预设分组进行收藏状态更新: $targetKey');
|
||||
}
|
||||
|
||||
// 更新选中的预设
|
||||
final selectedPreset = state.selectedPreset?.presetId == event.presetId
|
||||
? updatedPreset
|
||||
: state.selectedPreset;
|
||||
|
||||
// 🚀 新增：同时更新聚合数据缓存
|
||||
final newAllPresetData = _replacePresetInAggregatedData(state.allPresetData, updatedPreset);
|
||||
|
||||
emit(state.copyWith(
|
||||
selectedPreset: selectedPreset,
|
||||
groupedPresets: updatedGroupedPresets,
|
||||
allPresetData: newAllPresetData,
|
||||
));
|
||||
|
||||
AppLogger.i(_tag, '📘 预设收藏状态切换成功: ${event.presetId}');
|
||||
} catch (e) {
|
||||
AppLogger.e(_tag, '❌ 切换预设收藏状态失败: ${event.presetId}', e);
|
||||
emit(state.copyWith(
|
||||
errorMessage: '切换收藏状态失败: ${e.toString()}',
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
/// 切换预设快捷访问状态
|
||||
Future<void> _onTogglePresetQuickAccess(
|
||||
TogglePresetQuickAccess event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
try {
|
||||
final updatedPreset = await _presetRepository.toggleQuickAccess(event.presetId);
|
||||
|
||||
// 🚀 优化：直接更新本地状态，不重新请求API
|
||||
final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
|
||||
final newFeatureType = updatedPreset.aiFeatureType;
|
||||
|
||||
// 🚀 修复：处理功能类型格式不一致问题
|
||||
String? existingKey = _findExistingFeatureTypeKey(updatedGroupedPresets, newFeatureType);
|
||||
final targetKey = existingKey ?? newFeatureType;
|
||||
|
||||
if (updatedGroupedPresets.containsKey(targetKey)) {
|
||||
// 找到并替换对应的预设
|
||||
final presetList = updatedGroupedPresets[targetKey]!;
|
||||
final index = presetList.indexWhere((p) => p.presetId == event.presetId);
|
||||
if (index != -1) {
|
||||
presetList[index] = updatedPreset;
|
||||
AppLogger.i(_tag, '📋 预设快捷访问状态更新在分组: $targetKey');
|
||||
}
|
||||
} else {
|
||||
AppLogger.w(_tag, '⚠️ 未找到预设分组进行快捷访问状态更新: $targetKey');
|
||||
}
|
||||
|
||||
// 更新选中的预设
|
||||
final selectedPreset = state.selectedPreset?.presetId == event.presetId
|
||||
? updatedPreset
|
||||
: state.selectedPreset;
|
||||
|
||||
// 🚀 新增：同时更新聚合数据缓存
|
||||
final newAllPresetData = _replacePresetInAggregatedData(state.allPresetData, updatedPreset);
|
||||
|
||||
emit(state.copyWith(
|
||||
selectedPreset: selectedPreset,
|
||||
groupedPresets: updatedGroupedPresets,
|
||||
allPresetData: newAllPresetData,
|
||||
));
|
||||
|
||||
AppLogger.i(_tag, '📘 预设快捷访问状态切换成功: ${event.presetId}');
|
||||
} catch (e) {
|
||||
AppLogger.e(_tag, '❌ 切换预设快捷访问状态失败: ${event.presetId}', e);
|
||||
emit(state.copyWith(
|
||||
errorMessage: '切换快捷访问状态失败: ${e.toString()}',
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
/// 搜索预设
|
||||
Future<void> _onSearchPresets(
|
||||
SearchPresets event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
try {
|
||||
final searchParams = PresetSearchParams(
|
||||
keyword: event.query,
|
||||
featureType: event.featureType,
|
||||
tags: event.tags,
|
||||
sortBy: event.sortBy ?? 'recent',
|
||||
);
|
||||
|
||||
final searchResults = await _presetRepository.searchPresets(searchParams);
|
||||
|
||||
emit(state.copyWith(
|
||||
searchResults: searchResults,
|
||||
searchQuery: event.query,
|
||||
errorMessage: null,
|
||||
));
|
||||
|
||||
AppLogger.i(_tag, '预设搜索完成: ${searchResults.length} 个结果');
|
||||
} catch (e) {
|
||||
AppLogger.e(_tag, '搜索预设失败', e);
|
||||
emit(state.copyWith(
|
||||
errorMessage: '搜索预设失败: ${e.toString()}',
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
/// 清除搜索
|
||||
Future<void> _onClearPresetSearch(
|
||||
ClearPresetSearch event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
emit(state.copyWith(
|
||||
searchResults: [],
|
||||
searchQuery: '',
|
||||
));
|
||||
|
||||
AppLogger.i(_tag, '预设搜索已清除');
|
||||
}
|
||||
|
||||
/// 刷新预设数据
|
||||
Future<void> _onRefreshPresetData(
|
||||
RefreshPresetData event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
// 重新加载所有数据
|
||||
add(const LoadUserPresetOverview());
|
||||
add(const LoadGroupedPresets());
|
||||
|
||||
AppLogger.i(_tag, '预设数据刷新中...');
|
||||
}
|
||||
|
||||
/// 🚀 查找现有分组中相同功能类型的键（已统一格式，现在只做直接匹配）
|
||||
String? _findExistingFeatureTypeKey(Map<String, List<AIPromptPreset>> groupedPresets, String newFeatureType) {
|
||||
// 如果直接存在，返回null（使用新的键）
|
||||
if (groupedPresets.containsKey(newFeatureType)) {
|
||||
return null;
|
||||
}
|
||||
|
||||
// 🚀 已统一为新格式，不再需要映射，直接使用新的功能类型键
|
||||
AppLogger.i(_tag, '📋 使用新的功能类型键: $newFeatureType');
|
||||
return null;
|
||||
}
|
||||
|
||||
/// 🚀 新增预设到本地缓存
|
||||
Future<void> _onAddPresetToCache(
|
||||
AddPresetToCache event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
try {
|
||||
final newPreset = event.preset;
|
||||
AppLogger.i(_tag, '🚀 添加新预设到本地缓存: ${newPreset.presetName}');
|
||||
|
||||
// 🚀 更新聚合数据缓存
|
||||
if (state.allPresetData != null) {
|
||||
final updatedData = _addPresetToAggregatedData(state.allPresetData!, newPreset);
|
||||
|
||||
// 同时更新分组预设以保持兼容性
|
||||
final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
|
||||
final featureType = newPreset.aiFeatureType;
|
||||
|
||||
if (updatedGroupedPresets.containsKey(featureType)) {
|
||||
// 将新预设添加到列表开头
|
||||
updatedGroupedPresets[featureType] = [newPreset, ...updatedGroupedPresets[featureType]!];
|
||||
} else {
|
||||
// 创建新的功能类型分组
|
||||
updatedGroupedPresets[featureType] = [newPreset];
|
||||
}
|
||||
|
||||
emit(state.copyWith(
|
||||
allPresetData: updatedData,
|
||||
groupedPresets: updatedGroupedPresets,
|
||||
errorMessage: null,
|
||||
));
|
||||
|
||||
AppLogger.i(_tag, '✅ 预设已添加到本地缓存: ${featureType}');
|
||||
} else {
|
||||
// 如果没有聚合数据，只更新分组预设
|
||||
final updatedGroupedPresets = Map<String, List<AIPromptPreset>>.from(state.groupedPresets);
|
||||
final featureType = newPreset.aiFeatureType;
|
||||
|
||||
if (updatedGroupedPresets.containsKey(featureType)) {
|
||||
updatedGroupedPresets[featureType] = [newPreset, ...updatedGroupedPresets[featureType]!];
|
||||
} else {
|
||||
updatedGroupedPresets[featureType] = [newPreset];
|
||||
}
|
||||
|
||||
emit(state.copyWith(
|
||||
groupedPresets: updatedGroupedPresets,
|
||||
errorMessage: null,
|
||||
));
|
||||
|
||||
AppLogger.w(_tag, '⚠️ 仅更新分组预设，聚合数据不存在');
|
||||
}
|
||||
|
||||
} catch (e) {
|
||||
AppLogger.e(_tag, '❌ 添加预设到本地缓存失败', e);
|
||||
emit(state.copyWith(
|
||||
errorMessage: '添加预设到缓存失败: ${e.toString()}',
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
/// 🚀 加载所有预设聚合数据
|
||||
Future<void> _onLoadAllPresetData(
|
||||
LoadAllPresetData event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
try {
|
||||
emit(state.copyWith(isLoading: true, errorMessage: null));
|
||||
|
||||
AppLogger.i(_tag, '🚀 开始加载所有预设聚合数据: novelId=${event.novelId}');
|
||||
|
||||
final allPresetData = await _aggregationRepository.getAllUserPresetData(
|
||||
novelId: event.novelId,
|
||||
);
|
||||
|
||||
emit(state.copyWith(
|
||||
isLoading: false,
|
||||
allPresetData: allPresetData,
|
||||
// 同时更新其他相关字段以保持兼容性
|
||||
userOverview: allPresetData.overview,
|
||||
groupedPresets: allPresetData.mergedGroupedPresets,
|
||||
batchPackages: allPresetData.packagesByFeatureType,
|
||||
favoritePresets: allPresetData.favoritePresets,
|
||||
quickAccessPresets: allPresetData.quickAccessPresets,
|
||||
recentlyUsedPresets: allPresetData.recentlyUsedPresets,
|
||||
errorMessage: null,
|
||||
));
|
||||
|
||||
AppLogger.i(_tag, '✅ 所有预设聚合数据加载完成');
|
||||
AppLogger.i(_tag, '📊 数据统计: 系统预设${allPresetData.systemPresets.length}个, 用户预设分组${allPresetData.userPresetsByFeatureType.length}个');
|
||||
AppLogger.i(_tag, '📈 合并分组: ${allPresetData.mergedGroupedPresets.length}个功能类型');
|
||||
allPresetData.mergedGroupedPresets.forEach((featureType, presets) {
|
||||
AppLogger.i(_tag, ' - $featureType: ${presets.length}个预设');
|
||||
});
|
||||
|
||||
} catch (e) {
|
||||
AppLogger.e(_tag, '❌ 加载所有预设聚合数据失败', e);
|
||||
emit(state.copyWith(
|
||||
isLoading: false,
|
||||
errorMessage: '加载预设数据失败: ${e.toString()}',
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
/// 预热预设缓存
|
||||
Future<void> _onWarmupPresetCache(
|
||||
WarmupPresetCache event,
|
||||
Emitter<PresetState> emit,
|
||||
) async {
|
||||
try {
|
||||
AppLogger.i(_tag, '开始预热预设缓存...');
|
||||
|
||||
final warmupResult = await _aggregationRepository.warmupCache();
|
||||
|
||||
emit(state.copyWith(
|
||||
warmupResult: warmupResult,
|
||||
errorMessage: null,
|
||||
));
|
||||
|
||||
AppLogger.i(_tag, '预设缓存预热完成: ${warmupResult.success ? "成功" : "失败"}');
|
||||
if (warmupResult.success) {
|
||||
AppLogger.i(_tag, '预热了 ${warmupResult.warmedFeatureTypes} 个功能类型，${warmupResult.warmedPresets} 个预设，耗时 ${warmupResult.durationMs}ms');
|
||||
}
|
||||
} catch (e) {
|
||||
AppLogger.e(_tag, '预设缓存预热失败', e);
|
||||
emit(state.copyWith(
|
||||
errorMessage: '预设缓存预热失败: ${e.toString()}',
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
/// 🚀 向聚合缓存中添加新预设
|
||||
AllUserPresetData _addPresetToAggregatedData(AllUserPresetData data, AIPromptPreset newPreset) {
|
||||
final featureType = newPreset.aiFeatureType;
|
||||
|
||||
// 更新用户预设分组
|
||||
final userByFeature = Map<String, List<AIPromptPreset>>.from(data.userPresetsByFeatureType);
|
||||
if (userByFeature.containsKey(featureType)) {
|
||||
// 添加到现有分组的开头
|
||||
userByFeature[featureType] = [newPreset, ...userByFeature[featureType]!];
|
||||
} else {
|
||||
// 创建新的功能类型分组
|
||||
userByFeature[featureType] = [newPreset];
|
||||
}
|
||||
|
||||
// 更新包分组（如果存在）
|
||||
final packages = Map<String, PresetPackage>.from(data.packagesByFeatureType);
|
||||
if (packages.containsKey(featureType)) {
|
||||
final oldPackage = packages[featureType]!;
|
||||
packages[featureType] = PresetPackage(
|
||||
featureType: featureType,
|
||||
systemPresets: oldPackage.systemPresets,
|
||||
userPresets: [newPreset, ...oldPackage.userPresets],
|
||||
favoritePresets: oldPackage.favoritePresets,
|
||||
quickAccessPresets: oldPackage.quickAccessPresets,
|
||||
recentlyUsedPresets: oldPackage.recentlyUsedPresets,
|
||||
totalCount: oldPackage.totalCount + 1,
|
||||
cachedAt: DateTime.now(),
|
||||
);
|
||||
}
|
||||
|
||||
// 如果新预设是收藏、快捷访问等特殊状态，也需要更新对应列表
|
||||
final favoritePresets = newPreset.isFavorite
|
||||
? [newPreset, ...data.favoritePresets]
|
||||
: data.favoritePresets;
|
||||
|
||||
final quickAccessPresets = newPreset.showInQuickAccess
|
||||
? [newPreset, ...data.quickAccessPresets]
|
||||
: data.quickAccessPresets;
|
||||
|
||||
// 添加到最近使用列表的开头
|
||||
final recentlyUsedPresets = [newPreset, ...data.recentlyUsedPresets];
|
||||
|
||||
// 更新概览统计
|
||||
final currentStats = data.overview.presetsByFeatureType[featureType];
|
||||
final updatedStats = currentStats != null
|
||||
? PresetTypeStats(
|
||||
systemCount: currentStats.systemCount,
|
||||
userCount: currentStats.userCount + 1,
|
||||
favoriteCount: newPreset.isFavorite ? currentStats.favoriteCount + 1 : currentStats.favoriteCount,
|
||||
recentUsageCount: currentStats.recentUsageCount + 1,
|
||||
)
|
||||
: PresetTypeStats(
|
||||
systemCount: 0,
|
||||
userCount: 1,
|
||||
favoriteCount: newPreset.isFavorite ? 1 : 0,
|
||||
recentUsageCount: 1,
|
||||
);
|
||||
|
||||
final overview = UserPresetOverview(
|
||||
totalPresets: data.overview.totalPresets + 1,
|
||||
systemPresets: data.overview.systemPresets,
|
||||
userPresets: data.overview.userPresets + 1,
|
||||
favoritePresets: favoritePresets.length,
|
||||
presetsByFeatureType: {
|
||||
...data.overview.presetsByFeatureType,
|
||||
featureType: updatedStats,
|
||||
},
|
||||
recentFeatureTypes: _updateRecentFeatureTypes(data.overview.recentFeatureTypes, featureType),
|
||||
popularTags: data.overview.popularTags,
|
||||
generatedAt: DateTime.now(),
|
||||
);
|
||||
|
||||
return AllUserPresetData(
|
||||
userId: data.userId,
|
||||
overview: overview,
|
||||
packagesByFeatureType: packages,
|
||||
systemPresets: data.systemPresets,
|
||||
userPresetsByFeatureType: userByFeature,
|
||||
favoritePresets: favoritePresets,
|
||||
quickAccessPresets: quickAccessPresets,
|
||||
recentlyUsedPresets: recentlyUsedPresets,
|
||||
timestamp: DateTime.now(),
|
||||
cacheDuration: data.cacheDuration,
|
||||
);
|
||||
}
|
||||
|
||||
/// 🚀 更新最近使用的功能类型列表
|
||||
List<String> _updateRecentFeatureTypes(List<String> current, String newFeatureType) {
|
||||
final updated = [newFeatureType];
|
||||
for (final type in current) {
|
||||
if (type != newFeatureType && updated.length < 5) {
|
||||
updated.add(type);
|
||||
}
|
||||
}
|
||||
return updated;
|
||||
}
|
||||
|
||||
/// 🚀 从聚合缓存中删除指定预设
|
||||
AllUserPresetData? _removePresetFromAggregatedData(AllUserPresetData? data, String presetId) {
|
||||
if (data == null) return null;
|
||||
|
||||
bool found = false;
|
||||
|
||||
// 从系统预设列表中移除
|
||||
final system = data.systemPresets.where((p) => p.presetId != presetId).toList();
|
||||
if (system.length != data.systemPresets.length) found = true;
|
||||
|
||||
// 从用户预设分组中移除
|
||||
final userByFeature = <String, List<AIPromptPreset>>{};
|
||||
data.userPresetsByFeatureType.forEach((k, list) {
|
||||
final filtered = list.where((p) => p.presetId != presetId).toList();
|
||||
if (filtered.isNotEmpty) {
|
||||
userByFeature[k] = filtered;
|
||||
}
|
||||
if (filtered.length != list.length) found = true;
|
||||
});
|
||||
|
||||
// 从收藏/快捷/最近列表中移除
|
||||
final fav = data.favoritePresets.where((p) => p.presetId != presetId).toList();
|
||||
final quick = data.quickAccessPresets.where((p) => p.presetId != presetId).toList();
|
||||
final recent = data.recentlyUsedPresets.where((p) => p.presetId != presetId).toList();
|
||||
|
||||
if (!found) return data; // 未找到则直接返回原数据
|
||||
|
||||
// 更新包分组
|
||||
final packages = Map<String, PresetPackage>.from(data.packagesByFeatureType);
|
||||
packages.forEach((featureType, package) {
|
||||
final filteredUser = package.userPresets.where((p) => p.presetId != presetId).toList();
|
||||
final filteredSystem = package.systemPresets.where((p) => p.presetId != presetId).toList();
|
||||
|
||||
if (filteredUser.length != package.userPresets.length ||
|
||||
filteredSystem.length != package.systemPresets.length) {
|
||||
packages[featureType] = PresetPackage(
|
||||
featureType: featureType,
|
||||
systemPresets: filteredSystem,
|
||||
userPresets: filteredUser,
|
||||
favoritePresets: package.favoritePresets.where((p) => p.presetId != presetId).toList(),
|
||||
quickAccessPresets: package.quickAccessPresets.where((p) => p.presetId != presetId).toList(),
|
||||
recentlyUsedPresets: package.recentlyUsedPresets.where((p) => p.presetId != presetId).toList(),
|
||||
totalCount: filteredUser.length + filteredSystem.length,
|
||||
cachedAt: DateTime.now(),
|
||||
);
|
||||
}
|
||||
});
|
||||
|
||||
// 更新概览统计
|
||||
final overview = UserPresetOverview(
|
||||
totalPresets: data.overview.totalPresets - 1,
|
||||
systemPresets: system.length,
|
||||
userPresets: userByFeature.values.fold(0, (sum, list) => sum + list.length),
|
||||
favoritePresets: fav.length,
|
||||
presetsByFeatureType: data.overview.presetsByFeatureType, // 保持不变，可选优化
|
||||
recentFeatureTypes: data.overview.recentFeatureTypes,
|
||||
popularTags: data.overview.popularTags,
|
||||
generatedAt: DateTime.now(),
|
||||
);
|
||||
|
||||
return AllUserPresetData(
|
||||
userId: data.userId,
|
||||
overview: overview,
|
||||
packagesByFeatureType: packages,
|
||||
systemPresets: system,
|
||||
userPresetsByFeatureType: userByFeature,
|
||||
favoritePresets: fav,
|
||||
quickAccessPresets: quick,
|
||||
recentlyUsedPresets: recent,
|
||||
timestamp: DateTime.now(),
|
||||
cacheDuration: data.cacheDuration,
|
||||
);
|
||||
}
|
||||
|
||||
/// 🚀 在聚合缓存中替换指定预设
|
||||
AllUserPresetData? _replacePresetInAggregatedData(AllUserPresetData? data, AIPromptPreset updated) {
|
||||
if (data == null) return null;
|
||||
|
||||
bool replaced = false;
|
||||
|
||||
// 更新系统预设列表
|
||||
List<AIPromptPreset> system = data.systemPresets
|
||||
.map((p) => p.presetId == updated.presetId ? updated : p)
|
||||
.toList();
|
||||
if (!replaced) replaced = system.any((p) => p.presetId == updated.presetId);
|
||||
|
||||
// 更新用户预设分组
|
||||
final userByFeature = <String, List<AIPromptPreset>>{};
|
||||
data.userPresetsByFeatureType.forEach((k, list) {
|
||||
userByFeature[k] = list.map((p) => p.presetId == updated.presetId ? updated : p).toList();
|
||||
if (!replaced) {
|
||||
replaced = list.any((p) => p.presetId == updated.presetId);
|
||||
}
|
||||
});
|
||||
|
||||
// 更新收藏/快捷/最近
|
||||
List<AIPromptPreset> _mapList(List<AIPromptPreset> src) =>
|
||||
src.map((p) => p.presetId == updated.presetId ? updated : p).toList();
|
||||
final fav = _mapList(data.favoritePresets);
|
||||
final quick = _mapList(data.quickAccessPresets);
|
||||
final recent = _mapList(data.recentlyUsedPresets);
|
||||
|
||||
// 如果所有列表都未包含，则根据预设类型追加到正确列表
|
||||
if (!replaced) {
|
||||
if (updated.isSystem) {
|
||||
system.add(updated);
|
||||
} else {
|
||||
userByFeature.putIfAbsent(updated.aiFeatureType, () => []);
|
||||
userByFeature[updated.aiFeatureType]!.add(updated);
|
||||
}
|
||||
// 快捷访问
|
||||
if (updated.showInQuickAccess && !quick.any((p) => p.presetId == updated.presetId)) {
|
||||
quick.insert(0, updated);
|
||||
}
|
||||
// 收藏
|
||||
if (updated.isFavorite && !fav.any((p) => p.presetId == updated.presetId)) {
|
||||
fav.insert(0, updated);
|
||||
}
|
||||
// 最近使用无需处理
|
||||
}
|
||||
|
||||
return AllUserPresetData(
|
||||
userId: data.userId,
|
||||
overview: data.overview,
|
||||
packagesByFeatureType: data.packagesByFeatureType,
|
||||
systemPresets: system,
|
||||
userPresetsByFeatureType: userByFeature,
|
||||
favoritePresets: fav,
|
||||
quickAccessPresets: quick,
|
||||
recentlyUsedPresets: recent,
|
||||
timestamp: DateTime.now(), // 🔧 修复：更新为当前时间戳
|
||||
cacheDuration: data.cacheDuration,
|
||||
);
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user