385 lines
8.7 KiB
TypeScript
385 lines
8.7 KiB
TypeScript
import { prisma } from '../config/database.js';
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import { LLMFactory } from '../adapters/LLMFactory.js';
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import { Message, ModelType, StreamChunk } from '../adapters/types.js';
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import { agentService } from './agentService.js';
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interface CreateConversationData {
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userId: string;
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projectId: string;
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agentId: string;
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title?: string;
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}
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interface SendMessageData {
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conversationId: string;
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content: string;
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modelType: ModelType;
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knowledgeBaseIds?: string[];
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}
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export class ConversationService {
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/**
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* 创建新对话
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*/
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async createConversation(data: CreateConversationData) {
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const { userId, projectId, agentId, title } = data;
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// 验证智能体是否存在
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const agent = agentService.getAgentById(agentId);
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if (!agent) {
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throw new Error('智能体不存在');
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}
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// 验证项目是否存在
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const project = await prisma.project.findFirst({
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where: {
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id: projectId,
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userId: userId,
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deletedAt: null,
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},
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});
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if (!project) {
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throw new Error('项目不存在或无权访问');
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}
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// 创建对话
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const conversation = await prisma.conversation.create({
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data: {
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userId,
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projectId,
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agentId,
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title: title || `与${agent.name}的对话`,
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metadata: {
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agentName: agent.name,
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agentCategory: agent.category,
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},
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},
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});
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return conversation;
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}
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/**
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* 获取对话列表
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*/
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async getConversations(userId: string, projectId?: string) {
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const where: any = {
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userId,
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deletedAt: null,
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};
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if (projectId) {
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where.projectId = projectId;
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}
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const conversations = await prisma.conversation.findMany({
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where,
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include: {
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project: {
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select: {
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id: true,
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name: true,
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},
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},
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_count: {
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select: {
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messages: true,
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},
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},
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},
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orderBy: {
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updatedAt: 'desc',
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},
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});
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return conversations;
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}
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/**
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* 获取对话详情（包含消息）
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*/
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async getConversationById(conversationId: string, userId: string) {
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const conversation = await prisma.conversation.findFirst({
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where: {
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id: conversationId,
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userId,
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deletedAt: null,
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},
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include: {
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project: {
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select: {
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id: true,
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name: true,
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background: true,
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researchType: true,
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},
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},
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messages: {
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orderBy: {
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createdAt: 'asc',
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},
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},
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},
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});
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if (!conversation) {
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throw new Error('对话不存在或无权访问');
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}
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return conversation;
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}
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/**
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* 组装上下文消息
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*/
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private async assembleContext(
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conversationId: string,
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agentId: string,
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projectBackground: string,
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userInput: string,
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knowledgeBaseContext?: string
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): Promise<Message[]> {
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// 获取系统Prompt
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const systemPrompt = agentService.getSystemPrompt(agentId);
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// 获取历史消息（最近10条）
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const historyMessages = await prisma.message.findMany({
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where: {
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conversationId,
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},
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orderBy: {
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createdAt: 'desc',
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},
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take: 10,
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});
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// 反转顺序（最早的在前）
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historyMessages.reverse();
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// 渲染用户Prompt模板
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const renderedUserPrompt = agentService.renderUserPrompt(agentId, {
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projectBackground,
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userInput,
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knowledgeBaseContext,
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});
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// 组装消息数组
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const messages: Message[] = [
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{
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role: 'system',
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content: systemPrompt,
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},
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];
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// 添加历史消息
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for (const msg of historyMessages) {
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messages.push({
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role: msg.role as 'user' | 'assistant',
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content: msg.content,
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});
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}
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// 添加当前用户输入
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messages.push({
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role: 'user',
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content: renderedUserPrompt,
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});
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return messages;
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}
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/**
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* 发送消息（非流式）
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*/
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async sendMessage(data: SendMessageData, userId: string) {
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const { conversationId, content, modelType, knowledgeBaseIds } = data;
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// 获取对话信息
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const conversation = await this.getConversationById(conversationId, userId);
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// 获取知识库上下文（如果有@知识库）
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let knowledgeBaseContext = '';
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if (knowledgeBaseIds && knowledgeBaseIds.length > 0) {
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// TODO: 调用Dify RAG获取知识库上下文
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knowledgeBaseContext = '相关文献内容...';
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}
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// 组装上下文
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const messages = await this.assembleContext(
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conversationId,
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conversation.agentId,
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conversation.project?.background || '',
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content,
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knowledgeBaseContext
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);
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// 获取LLM适配器
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const adapter = LLMFactory.getAdapter(modelType);
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// 获取智能体配置的模型参数
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const agent = agentService.getAgentById(conversation.agentId);
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const modelConfig = agent?.models?.[modelType];
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// 调用LLM
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const response = await adapter.chat(messages, {
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temperature: modelConfig?.temperature,
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maxTokens: modelConfig?.maxTokens,
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topP: modelConfig?.topP,
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});
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// 保存用户消息
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const userMessage = await prisma.message.create({
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data: {
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conversationId,
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role: 'user',
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content,
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metadata: {
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knowledgeBaseIds,
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},
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},
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});
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// 保存助手回复
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const assistantMessage = await prisma.message.create({
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data: {
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conversationId,
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role: 'assistant',
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content: response.content,
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model: response.model,
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tokens: response.usage?.totalTokens,
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metadata: {
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usage: response.usage,
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finishReason: response.finishReason,
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},
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},
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});
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// 更新对话的最后更新时间
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await prisma.conversation.update({
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where: { id: conversationId },
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data: { updatedAt: new Date() },
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});
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return {
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userMessage,
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assistantMessage,
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usage: response.usage,
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};
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}
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/**
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* 发送消息（流式）
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*/
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async *sendMessageStream(
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data: SendMessageData,
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userId: string
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): AsyncGenerator<StreamChunk, void, unknown> {
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const { conversationId, content, modelType, knowledgeBaseIds } = data;
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// 获取对话信息
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const conversation = await this.getConversationById(conversationId, userId);
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// 获取知识库上下文（如果有@知识库）
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let knowledgeBaseContext = '';
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if (knowledgeBaseIds && knowledgeBaseIds.length > 0) {
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// TODO: 调用Dify RAG获取知识库上下文
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knowledgeBaseContext = '相关文献内容...';
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}
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// 组装上下文
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const messages = await this.assembleContext(
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conversationId,
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conversation.agentId,
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conversation.project?.background || '',
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content,
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knowledgeBaseContext
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);
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// 获取LLM适配器
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const adapter = LLMFactory.getAdapter(modelType);
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// 获取智能体配置的模型参数
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const agent = agentService.getAgentById(conversation.agentId);
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const modelConfig = agent?.models?.[modelType];
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// 保存用户消息
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await prisma.message.create({
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data: {
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conversationId,
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role: 'user',
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content,
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metadata: {
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knowledgeBaseIds,
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},
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},
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});
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// 用于累积完整的回复内容
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let fullContent = '';
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let usage: any = null;
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// 流式调用LLM
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for await (const chunk of adapter.chatStream(messages, {
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temperature: modelConfig?.temperature,
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maxTokens: modelConfig?.maxTokens,
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topP: modelConfig?.topP,
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})) {
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fullContent += chunk.content;
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if (chunk.usage) {
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usage = chunk.usage;
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}
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yield chunk;
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}
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// 流式输出完成后，保存助手回复
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await prisma.message.create({
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data: {
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conversationId,
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role: 'assistant',
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content: fullContent,
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model: modelType,
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tokens: usage?.totalTokens,
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metadata: {
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usage,
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},
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},
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});
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// 更新对话的最后更新时间
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await prisma.conversation.update({
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where: { id: conversationId },
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data: { updatedAt: new Date() },
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});
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}
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/**
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* 删除对话（软删除）
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*/
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async deleteConversation(conversationId: string, userId: string) {
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const conversation = await prisma.conversation.findFirst({
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where: {
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id: conversationId,
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userId,
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deletedAt: null,
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},
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});
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if (!conversation) {
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throw new Error('对话不存在或无权访问');
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}
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await prisma.conversation.update({
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where: { id: conversationId },
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data: { deletedAt: new Date() },
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});
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return { success: true };
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}
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}
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export const conversationService = new ConversationService();
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