680 lines
21 KiB
Dart
680 lines
21 KiB
Dart
import 'package:ainoval/models/context_selection_models.dart';
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import 'package:ainoval/models/user_ai_model_config_model.dart';
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import 'package:ainoval/utils/date_time_parser.dart';
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/// AI请求类型枚举
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enum AIRequestType {
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chat('AI_CHAT', '聊天对话'),
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expansion('TEXT_EXPANSION', '扩写文本'),
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summary('TEXT_SUMMARY', '缩写文本'),
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sceneSummary('SCENE_TO_SUMMARY', '场景摘要'),
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refactor('TEXT_REFACTOR', '重构文本'),
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generation('NOVEL_GENERATION', '内容生成'),
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sceneBeat('SCENE_BEAT_GENERATION', '场景节拍生成'),
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novelCompose('NOVEL_COMPOSE', '设定编排');
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const AIRequestType(this.value, this.displayName);
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final String value;
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final String displayName;
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}
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/// 通用AI请求模型
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class UniversalAIRequest {
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const UniversalAIRequest({
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required this.requestType,
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required this.userId,
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this.sessionId,
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this.novelId,
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this.chapterId,
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this.sceneId,
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this.settingSessionId,
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this.modelConfig,
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this.prompt,
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this.instructions,
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this.selectedText,
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this.contextSelections,
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this.enableSmartContext = false,
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this.parameters = const {},
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this.metadata = const {},
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});
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/// 请求类型
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final AIRequestType requestType;
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/// 用户ID
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final String userId;
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/// 会话ID（聊天对话时必填）
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final String? sessionId;
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/// 小说ID
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final String? novelId;
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/// 章节ID（用于上下文提供器）
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final String? chapterId;
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/// 场景ID（用于上下文提供器）
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final String? sceneId;
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/// 设定生成会话ID（用于设定编排/写作编排场景）
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final String? settingSessionId;
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/// 模型配置
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final UserAIModelConfigModel? modelConfig;
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/// 主要提示内容（用户输入的消息或待处理的文本）
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final String? prompt;
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/// 指令内容（AI执行任务的具体指导）
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final String? instructions;
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/// 选中的文本（扩写、缩写、重构时使用）
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final String? selectedText;
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/// 上下文选择数据
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final ContextSelectionData? contextSelections;
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/// 是否启用智能上下文（RAG检索）
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final bool enableSmartContext;
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/// 请求参数（温度、最大token等）
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final Map<String, dynamic> parameters;
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/// 元数据（其他附加信息）
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final Map<String, dynamic> metadata;
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/// 复制方法
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UniversalAIRequest copyWith({
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AIRequestType? requestType,
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String? userId,
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String? sessionId,
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String? novelId,
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String? chapterId,
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String? sceneId,
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String? settingSessionId,
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UserAIModelConfigModel? modelConfig,
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String? prompt,
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String? instructions,
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String? selectedText,
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ContextSelectionData? contextSelections,
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bool? enableSmartContext,
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Map<String, dynamic>? parameters,
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Map<String, dynamic>? metadata,
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}) {
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return UniversalAIRequest(
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requestType: requestType ?? this.requestType,
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userId: userId ?? this.userId,
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sessionId: sessionId ?? this.sessionId,
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novelId: novelId ?? this.novelId,
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chapterId: chapterId ?? this.chapterId,
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sceneId: sceneId ?? this.sceneId,
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settingSessionId: settingSessionId ?? this.settingSessionId,
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modelConfig: modelConfig ?? this.modelConfig,
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prompt: prompt ?? this.prompt,
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instructions: instructions ?? this.instructions,
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selectedText: selectedText ?? this.selectedText,
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contextSelections: contextSelections ?? this.contextSelections,
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enableSmartContext: enableSmartContext ?? this.enableSmartContext,
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parameters: parameters ?? this.parameters,
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metadata: metadata ?? this.metadata,
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);
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}
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/// 转换为API请求的JSON格式
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Map<String, dynamic> toApiJson() {
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final Map<String, dynamic> json = {
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'requestType': requestType.value,
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'userId': userId,
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'enableSmartContext': enableSmartContext,
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};
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// 添加可选字段
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if (sessionId != null) json['sessionId'] = sessionId;
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if (novelId != null) json['novelId'] = novelId;
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if (chapterId != null) json['chapterId'] = chapterId;
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if (sceneId != null) json['sceneId'] = sceneId;
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if (settingSessionId != null) json['settingSessionId'] = settingSessionId;
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if (prompt != null) json['prompt'] = prompt;
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if (instructions != null) json['instructions'] = instructions;
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if (selectedText != null) json['selectedText'] = selectedText;
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// 模型配置
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if (modelConfig != null) {
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json['modelName'] = modelConfig!.modelName;
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json['modelProvider'] = modelConfig!.provider;
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final bool isPublic = metadata['isPublicModel'] == true;
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// 仅在私有模型时发送 modelConfigId，避免公共模型被误判为私有配置查询
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if (!isPublic) {
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json['modelConfigId'] = modelConfig!.id;
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}
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// 🚀 明确标识是否为公共模型（并传递公共配置ID）
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if (isPublic) {
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json['isPublicModel'] = true;
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if (metadata.containsKey('publicModelConfigId') && metadata['publicModelConfigId'] != null) {
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// 优先使用 publicModelConfigId（与后端期望一致）
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json['publicModelConfigId'] = metadata['publicModelConfigId'];
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}
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if (metadata.containsKey('publicModelId') && metadata['publicModelId'] != null) {
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json['publicModelId'] = metadata['publicModelId']; // 兼容旧字段
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}
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print('🔧 [UniversalAIRequest.toApiJson] 公共模型请求 - 模型: ${modelConfig!.modelName}, 提供商: ${modelConfig!.provider}, 公共模型ID: ${metadata['publicModelId'] ?? metadata['publicModelConfigId']}');
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} else {
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json['isPublicModel'] = false;
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print('🔧 [UniversalAIRequest.toApiJson] 私有模型请求 - 模型: ${modelConfig!.modelName}, 提供商: ${modelConfig!.provider}, 配置ID: ${modelConfig!.id}');
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}
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}
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// 上下文选择
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if (contextSelections != null && contextSelections!.selectedCount > 0) {
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final contextList = contextSelections!.selectedItems.values
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.map((item) => {
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'id': item.id,
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'title': item.title,
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'type': item.type.value, // 🚀 修复：使用API值而不是displayName
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'metadata': item.metadata,
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})
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.toList();
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json['contextSelections'] = contextList;
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// 🚀 添加调试日志
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print('🔧 [UniversalAIRequest.toApiJson] 添加上下文选择: ${contextList.length}个项目');
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for (var item in contextList) {
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print(' - ${item['type']}:${item['id']} (${item['title']})');
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}
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} else {
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print('🔧 [UniversalAIRequest.toApiJson] 没有上下文选择数据');
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}
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// 请求参数
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json['parameters'] = {
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'temperature': parameters['temperature'] ?? 0.7,
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'maxTokens': parameters['maxTokens'] ?? 2000,
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'enableSmartContext': enableSmartContext, // 🚀 确保enableSmartContext也在parameters中
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...parameters,
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};
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// 元数据
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if (metadata.isNotEmpty) {
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json['metadata'] = metadata;
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}
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return json;
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}
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/// 从JSON创建请求对象
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factory UniversalAIRequest.fromJson(Map<String, dynamic> json) {
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// 🚀 处理contextSelections字段
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ContextSelectionData? contextSelections;
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if (json['contextSelections'] != null) {
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final contextList = json['contextSelections'] as List<dynamic>;
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print('🔧 [UniversalAIRequest.fromJson] 解析contextSelections: ${contextList.length}个项目');
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// 🚀 新增：检查是否需要过滤预设模板上下文
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final isPresetTemplate = json['metadata']?['isPresetTemplate'] == true ||
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json['source'] == 'preset_template' ||
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contextList.any((item) => item['metadata']?['isHardcoded'] == true);
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if (isPresetTemplate) {
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print('🔧 [UniversalAIRequest.fromJson] 检测到预设模板，启用上下文过滤');
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}
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// 将已选择的项目转换为ContextSelectionItem，并标记为已选择
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final selectedItems = <String, ContextSelectionItem>{};
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final availableItems = <ContextSelectionItem>[];
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final flatItems = <String, ContextSelectionItem>{};
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for (var itemData in contextList) {
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final contextType = itemData['type'] as String?;
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// 🚀 预设模板上下文过滤：只保留硬编码的上下文类型
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if (isPresetTemplate && !_isHardcodedContextType(contextType)) {
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print(' 🚫 过滤掉非硬编码上下文: $contextType');
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continue;
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}
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final item = ContextSelectionItem(
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id: itemData['id'] ?? '',
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title: itemData['title'] ?? '',
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type: ContextSelectionType.values.firstWhere(
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(type) => type.value == itemData['type'],
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orElse: () => ContextSelectionType.fullNovelText,
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),
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metadata: Map<String, dynamic>.from(itemData['metadata'] ?? {}),
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parentId: itemData['parentId'],
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selectionState: SelectionState.fullySelected, // 标记为已选择
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);
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selectedItems[item.id] = item;
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availableItems.add(item);
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flatItems[item.id] = item;
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print(' ✅ ${item.type.displayName}:${item.id} (${item.title})');
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}
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// 创建ContextSelectionData，包含选择状态
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contextSelections = ContextSelectionData(
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novelId: json['novelId'] ?? '',
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selectedItems: selectedItems,
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availableItems: availableItems,
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flatItems: flatItems,
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);
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if (isPresetTemplate) {
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print('🔧 [UniversalAIRequest.fromJson] 预设模板上下文过滤完成: ${contextSelections.selectedCount}个硬编码项目');
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} else {
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print('🔧 [UniversalAIRequest.fromJson] 创建ContextSelectionData: ${contextSelections.selectedCount}个已选择项目');
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}
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}
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// 🚀 智能获取enableSmartContext：优先从顶级字段获取，回退到parameters中获取
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final Map<String, dynamic> parameters = Map<String, dynamic>.from(json['parameters'] ?? {});
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bool enableSmartContext = json['enableSmartContext'] ??
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parameters['enableSmartContext'] ??
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false;
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return UniversalAIRequest(
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requestType: AIRequestType.values.firstWhere(
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(type) => type.value == json['requestType'],
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orElse: () => AIRequestType.chat,
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),
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userId: json['userId'] ?? '',
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sessionId: json['sessionId'],
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novelId: json['novelId'],
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chapterId: json['chapterId'],
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sceneId: json['sceneId'],
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settingSessionId: json['settingSessionId'],
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prompt: json['prompt'],
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instructions: json['instructions'],
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selectedText: json['selectedText'],
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contextSelections: contextSelections,
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enableSmartContext: enableSmartContext,
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parameters: parameters,
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metadata: Map<String, dynamic>.from(json['metadata'] ?? {}),
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);
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}
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/// 🚀 新增：判断是否为硬编码的预设模板上下文类型
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static bool _isHardcodedContextType(String? contextType) {
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if (contextType == null) return false;
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// 定义预设模板允许的硬编码上下文类型
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const hardcodedTypes = {
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// 核心文本上下文
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'full_novel_text', // 全文文本
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'full_outline', // 完整大纲
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'novel_basic_info', // 基本信息
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// 前五章相关
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'recent_chapters_content', // 前五章内容
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'recent_chapters_summary', // 前五章摘要
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// 结构化上下文
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'settings', // 设定
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'snippets', // 片段
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// 当前上下文
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'chapters', // 章节（当前章节）
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'scenes', // 场景（当前场景）
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// 世界观相关
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'setting_groups', // 设定组
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'codex_entries', // 词条
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};
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return hardcodedTypes.contains(contextType);
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}
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}
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/// AI响应模型
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class UniversalAIResponse {
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const UniversalAIResponse({
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required this.id,
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required this.requestType,
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required this.content,
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this.finishReason,
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this.tokenUsage,
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this.model,
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this.createdAt,
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this.metadata = const {},
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});
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/// 响应ID
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final String id;
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/// 对应的请求类型
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final AIRequestType requestType;
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/// 生成的内容
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final String content;
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/// 完成原因
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final String? finishReason;
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/// Token使用情况
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final TokenUsage? tokenUsage;
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/// 使用的模型
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final String? model;
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/// 创建时间
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final DateTime? createdAt;
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/// 元数据
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final Map<String, dynamic> metadata;
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/// 从JSON创建响应对象
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factory UniversalAIResponse.fromJson(Map<String, dynamic> json) {
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return UniversalAIResponse(
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id: json['id'] ?? '',
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requestType: AIRequestType.values.firstWhere(
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(type) => type.value == json['requestType'],
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orElse: () => AIRequestType.chat,
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),
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content: json['content'] ?? '',
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finishReason: json['finishReason'],
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tokenUsage: json['tokenUsage'] != null
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? TokenUsage.fromJson(json['tokenUsage'])
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: null,
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model: json['model'],
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createdAt: json['createdAt'] != null
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? parseBackendDateTime(json['createdAt'])
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: null,
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metadata: Map<String, dynamic>.from(json['metadata'] ?? {}),
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);
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}
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/// 转换为JSON
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Map<String, dynamic> toJson() {
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return {
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'id': id,
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'requestType': requestType.value,
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'content': content,
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'finishReason': finishReason,
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'tokenUsage': tokenUsage?.toJson(),
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'model': model,
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'createdAt': createdAt?.toIso8601String(),
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'metadata': metadata,
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};
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}
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}
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/// Token使用情况
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class TokenUsage {
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const TokenUsage({
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this.promptTokens = 0,
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this.completionTokens = 0,
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this.totalTokens = 0,
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});
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final int promptTokens;
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final int completionTokens;
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final int totalTokens;
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/// 从JSON创建Token使用情况
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factory TokenUsage.fromJson(Map<String, dynamic> json) {
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return TokenUsage(
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promptTokens: json['promptTokens'] ?? 0,
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completionTokens: json['completionTokens'] ?? 0,
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totalTokens: json['totalTokens'] ?? 0,
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);
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}
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/// 转换为JSON
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Map<String, dynamic> toJson() {
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return {
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'promptTokens': promptTokens,
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'completionTokens': completionTokens,
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'totalTokens': totalTokens,
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};
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}
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}
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/// 通用AI预览响应模型
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class UniversalAIPreviewResponse {
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const UniversalAIPreviewResponse({
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required this.preview,
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required this.systemPrompt,
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required this.userPrompt,
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this.context,
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this.estimatedTokens,
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this.modelName,
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this.modelProvider,
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this.modelConfigId,
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});
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/// 预览内容（完整的提示词）
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final String preview;
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/// 系统提示词
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final String systemPrompt;
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/// 用户提示词
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final String userPrompt;
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/// 上下文信息
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final String? context;
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/// 估计的Token数量
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final int? estimatedTokens;
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/// 将要使用的模型名称
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final String? modelName;
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/// 将要使用的模型提供商
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final String? modelProvider;
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/// 模型配置ID
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final String? modelConfigId;
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/// 从JSON创建预览响应
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factory UniversalAIPreviewResponse.fromJson(Map<String, dynamic> json) {
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return UniversalAIPreviewResponse(
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preview: json['preview'] ?? '',
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systemPrompt: json['systemPrompt'] ?? '',
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userPrompt: json['userPrompt'] ?? '',
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context: json['context'],
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estimatedTokens: json['estimatedTokens'],
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modelName: json['modelName'],
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modelProvider: json['modelProvider'],
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modelConfigId: json['modelConfigId'],
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);
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}
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/// 转换为JSON
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Map<String, dynamic> toJson() {
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return {
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'preview': preview,
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'systemPrompt': systemPrompt,
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'userPrompt': userPrompt,
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'context': context,
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'estimatedTokens': estimatedTokens,
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'modelName': modelName,
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'modelProvider': modelProvider,
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'modelConfigId': modelConfigId,
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};
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}
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/// 计算系统提示词的字数
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int get systemPromptWordCount => _countWords(systemPrompt);
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/// 计算用户提示词的字数
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int get userPromptWordCount => _countWords(userPrompt);
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/// 计算上下文的字数
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int get contextWordCount => context != null ? _countWords(context!) : 0;
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/// 计算总字数
|
||
int get totalWordCount => systemPromptWordCount + userPromptWordCount + contextWordCount;
|
||
|
||
/// 计算字数的辅助方法
|
||
static int _countWords(String text) {
|
||
if (text.isEmpty) return 0;
|
||
|
||
// 简单的字数计算：按空格分割英文单词，中文字符直接计数
|
||
int wordCount = 0;
|
||
int chineseCharCount = 0;
|
||
|
||
// 分割文本按空格
|
||
final words = text.split(RegExp(r'\s+'));
|
||
|
||
for (String word in words) {
|
||
if (word.trim().isEmpty) continue;
|
||
|
||
// 计算中文字符
|
||
for (int i = 0; i < word.length; i++) {
|
||
final charCode = word.codeUnitAt(i);
|
||
if (charCode >= 0x4e00 && charCode <= 0x9fff) {
|
||
chineseCharCount++;
|
||
}
|
||
}
|
||
|
||
// 移除中文字符后计算英文单词
|
||
final nonChineseWord = word.replaceAll(RegExp(r'[\u4e00-\u9fff]'), '');
|
||
if (nonChineseWord.trim().isNotEmpty) {
|
||
wordCount++;
|
||
}
|
||
}
|
||
|
||
// 中文字符每个算一个词，英文单词按原数量
|
||
return wordCount + chineseCharCount;
|
||
}
|
||
}
|
||
|
||
/// 扩展上下文选择类型枚举，添加value字段用于API传输
|
||
extension ContextSelectionTypeApi on ContextSelectionType {
|
||
String get value {
|
||
switch (this) {
|
||
case ContextSelectionType.fullNovelText:
|
||
return 'full_novel_text';
|
||
case ContextSelectionType.fullOutline:
|
||
return 'full_outline';
|
||
case ContextSelectionType.novelBasicInfo:
|
||
return 'novel_basic_info';
|
||
case ContextSelectionType.recentChaptersContent:
|
||
return 'recent_chapters_content';
|
||
case ContextSelectionType.recentChaptersSummary:
|
||
return 'recent_chapters_summary';
|
||
case ContextSelectionType.currentSceneContent:
|
||
return 'current_scene_content';
|
||
case ContextSelectionType.currentSceneSummary:
|
||
return 'current_scene_summary';
|
||
case ContextSelectionType.currentChapterContent:
|
||
return 'current_chapter_content';
|
||
case ContextSelectionType.currentChapterSummaries:
|
||
return 'current_chapter_summary';
|
||
case ContextSelectionType.previousChaptersContent:
|
||
return 'previous_chapters_content';
|
||
case ContextSelectionType.previousChaptersSummary:
|
||
return 'previous_chapters_summary';
|
||
case ContextSelectionType.contentFixedGroup:
|
||
case ContextSelectionType.summaryFixedGroup:
|
||
return 'group';
|
||
case ContextSelectionType.acts:
|
||
return 'acts';
|
||
case ContextSelectionType.chapters:
|
||
return 'chapters';
|
||
case ContextSelectionType.scenes:
|
||
return 'scenes';
|
||
case ContextSelectionType.snippets:
|
||
return 'snippets';
|
||
case ContextSelectionType.settings:
|
||
return 'settings';
|
||
case ContextSelectionType.settingGroups:
|
||
return 'setting_groups';
|
||
case ContextSelectionType.settingsByType:
|
||
return 'settings_by_type';
|
||
case ContextSelectionType.codexEntries:
|
||
return 'codex_entries';
|
||
case ContextSelectionType.entriesByType:
|
||
return 'entries_by_type';
|
||
case ContextSelectionType.entriesByDetail:
|
||
return 'entries_by_detail';
|
||
case ContextSelectionType.entriesByCategory:
|
||
return 'entries_by_category';
|
||
case ContextSelectionType.entriesByTag:
|
||
return 'entries_by_tag';
|
||
}
|
||
}
|
||
}
|
||
|
||
/// 🚀 积分预估响应模型
|
||
class CostEstimationResponse {
|
||
const CostEstimationResponse({
|
||
required this.estimatedCost,
|
||
required this.success,
|
||
this.errorMessage,
|
||
this.estimatedInputTokens,
|
||
this.estimatedOutputTokens,
|
||
this.costMultiplier,
|
||
this.modelName,
|
||
this.modelProvider,
|
||
this.isPublicModel = false,
|
||
this.featureType,
|
||
});
|
||
|
||
/// 预估的积分成本
|
||
final int estimatedCost;
|
||
|
||
/// 是否成功
|
||
final bool success;
|
||
|
||
/// 错误信息
|
||
final String? errorMessage;
|
||
|
||
/// 预估输入Token数量
|
||
final int? estimatedInputTokens;
|
||
|
||
/// 预估输出Token数量
|
||
final int? estimatedOutputTokens;
|
||
|
||
/// 成本倍率
|
||
final double? costMultiplier;
|
||
|
||
/// 模型名称
|
||
final String? modelName;
|
||
|
||
/// 模型提供商
|
||
final String? modelProvider;
|
||
|
||
/// 是否为公共模型
|
||
final bool isPublicModel;
|
||
|
||
/// 功能类型
|
||
final String? featureType;
|
||
|
||
/// 从JSON创建积分预估响应
|
||
factory CostEstimationResponse.fromJson(Map<String, dynamic> json) {
|
||
return CostEstimationResponse(
|
||
estimatedCost: json['estimatedCost']?.toInt() ?? 0,
|
||
success: json['success'] ?? false,
|
||
errorMessage: json['errorMessage'],
|
||
estimatedInputTokens: json['estimatedInputTokens']?.toInt(),
|
||
estimatedOutputTokens: json['estimatedOutputTokens']?.toInt(),
|
||
costMultiplier: json['costMultiplier']?.toDouble(),
|
||
modelName: json['modelName'],
|
||
modelProvider: json['modelProvider'],
|
||
isPublicModel: json['isPublicModel'] ?? false,
|
||
featureType: json['featureType'],
|
||
);
|
||
}
|
||
|
||
/// 转换为JSON
|
||
Map<String, dynamic> toJson() {
|
||
return {
|
||
'estimatedCost': estimatedCost,
|
||
'success': success,
|
||
'errorMessage': errorMessage,
|
||
'estimatedInputTokens': estimatedInputTokens,
|
||
'estimatedOutputTokens': estimatedOutputTokens,
|
||
'costMultiplier': costMultiplier,
|
||
'modelName': modelName,
|
||
'modelProvider': modelProvider,
|
||
'isPublicModel': isPublicModel,
|
||
'featureType': featureType,
|
||
};
|
||
}
|
||
} |