package org.ruoyi.chat.service.chat.impl;
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import cn.dev33.satoken.stp.StpUtil;
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import cn.hutool.core.collection.CollectionUtil;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.google.protobuf.ServiceException;
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import com.zhipu.oapi.ClientV4;
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import com.zhipu.oapi.service.v4.tools.*;
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import jakarta.servlet.http.HttpServletRequest;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import okhttp3.*;
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import org.ruoyi.chat.config.ChatConfig;
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import org.ruoyi.chat.listener.SSEEventSourceListener;
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import org.ruoyi.chat.service.chat.IChatCostService;
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import org.ruoyi.chat.service.chat.IChatService;
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import org.ruoyi.chat.service.chat.ISseService;
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import org.ruoyi.chat.util.IpUtil;
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import org.ruoyi.common.chat.config.LocalCache;
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import org.ruoyi.common.chat.request.ChatRequest;
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import org.ruoyi.common.chat.entity.Tts.TextToSpeech;
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import org.ruoyi.common.chat.entity.chat.ChatCompletion;
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import org.ruoyi.common.chat.entity.chat.ChatCompletionResponse;
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import org.ruoyi.common.chat.entity.chat.Message;
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import org.ruoyi.common.chat.entity.files.UploadFileResponse;
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import org.ruoyi.common.chat.entity.whisper.WhisperResponse;
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import org.ruoyi.common.chat.openai.OpenAiStreamClient;
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import org.ruoyi.common.core.service.ConfigService;
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import org.ruoyi.common.core.utils.DateUtils;
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import org.ruoyi.common.core.utils.StringUtils;
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import org.ruoyi.common.core.utils.file.FileUtils;
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import org.ruoyi.common.core.utils.file.MimeTypeUtils;
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import org.ruoyi.common.redis.utils.RedisUtils;
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import org.ruoyi.domain.vo.ChatModelVo;
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import org.ruoyi.service.EmbeddingService;
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import org.ruoyi.service.IChatModelService;
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import org.ruoyi.service.VectorStoreService;
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import org.springframework.core.io.InputStreamResource;
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import org.springframework.core.io.Resource;
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import org.springframework.http.MediaType;
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import org.springframework.http.ResponseEntity;
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import org.springframework.stereotype.Service;
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import org.springframework.web.multipart.MultipartFile;
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import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
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import java.io.File;
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import java.io.FileOutputStream;
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import java.io.IOException;
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import java.io.InputStream;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.time.Duration;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.List;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.atomic.AtomicBoolean;
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import java.util.concurrent.atomic.AtomicReference;
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@Service
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@Slf4j
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@RequiredArgsConstructor
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public class SseServiceImpl implements ISseService {
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private final OpenAiStreamClient openAiStreamClient;
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private final EmbeddingService embeddingService;
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private final VectorStoreService vectorStore;
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private final ConfigService configService;
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private final IChatCostService chatCostService;
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private final IChatService chatService;
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private final IChatModelService chatModelService;
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private static final String requestIdTemplate = "company-%d";
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private static final ObjectMapper mapper = new ObjectMapper();
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private final ChatConfig chatConfig;
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@Override
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public SseEmitter sseChat(ChatRequest chatRequest, HttpServletRequest request) {
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SseEmitter sseEmitter = new SseEmitter();
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try {
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// 构建消息列表增加联网、知识库等内容
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buildChatMessageList(chatRequest);
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if (!StpUtil.isLogin()) {
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// 未登录用户限制对话次数
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checkUnauthenticatedUserChatLimit(request);
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}else {
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LocalCache.CACHE.put("userId", chatCostService.getUserId());
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chatRequest.setUserId(chatCostService.getUserId());
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// 保存消息记录 并扣除费用
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// chatCostService.deductToken(chatRequest);
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}
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// 根据模型名称前缀调用不同的处理逻辑
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switchModelAndHandle(chatRequest,sseEmitter);
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} catch (Exception e) {
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log.error(e.getMessage(),e);
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sseEmitter.completeWithError(e);
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}
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return sseEmitter;
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}
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/**
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* 检查未登录用户是否超过当日对话次数限制
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*
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* @param request 当前请求
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* @throws ServiceException 如果当日免费次数已用完
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*/
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public void checkUnauthenticatedUserChatLimit(HttpServletRequest request) throws ServiceException {
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String clientIp = IpUtil.getClientIp(request);
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// 访客每天默认只能对话5次
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int timeWindowInSeconds = 5;
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String redisKey = "clientIp:" + clientIp;
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int count = 0;
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// 检查Redis中的对话次数
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if (RedisUtils.getCacheObject(redisKey) == null) {
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// 缓存有效时间1天
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RedisUtils.setCacheObject(redisKey, count, Duration.ofSeconds(86400));
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} else {
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count = RedisUtils.getCacheObject(redisKey);
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if (count >= timeWindowInSeconds) {
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throw new ServiceException("当日免费次数已用完");
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}
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count++;
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RedisUtils.setCacheObject(redisKey, count);
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}
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}
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/**
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* 根据模型名称前缀调用不同的处理逻辑
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*/
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private void switchModelAndHandle(ChatRequest chatRequest,SseEmitter emitter) {
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SSEEventSourceListener openAIEventSourceListener = new SSEEventSourceListener(emitter);
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String model = chatRequest.getModel();
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// 如果模型名称以ollama开头，则调用ollama中部署的本地模型
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if (model.startsWith("ollama-")) {
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String[] parts = chatRequest.getModel().split("ollama-", 2);
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if (parts.length > 1) {
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chatRequest.setModel(parts[1]);
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chatService.mcpChat(chatRequest,emitter);
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} else {
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throw new IllegalArgumentException("Invalid ollama model name: " + chatRequest.getModel());
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}
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} else {
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if (model.startsWith("gpt-4-gizmo")) {
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chatRequest.setModel("gpt-4-gizmo");
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}
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ChatModelVo chatModelVo = chatModelService.selectModelByName(chatRequest.getModel());
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//openAiStreamClient = chatConfig.createOpenAiStreamClient(chatModelVo.getApiHost(), chatModelVo.getApiKey());
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ChatCompletion completion = ChatCompletion
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.builder()
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.messages(chatRequest.getMessages())
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.model(chatRequest.getModel())
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.temperature(0.2)
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.topP(1.0)
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.stream(true)
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.build();
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openAiStreamClient.streamChatCompletion(completion, openAIEventSourceListener);
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}
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}
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/**
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* 构建消息列表
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*/
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private void buildChatMessageList(ChatRequest chatRequest){
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ChatModelVo chatModelVo = chatModelService.selectModelByName(chatRequest.getModel());
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// 获取对话消息列表
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List<Message> messages = chatRequest.getMessages();
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String sysPrompt = chatModelVo.getSystemPrompt();
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if(StringUtils.isEmpty(sysPrompt)){
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sysPrompt ="你是一个由RuoYI-AI开发的人工智能助手，名字叫熊猫助手。你擅长中英文对话，能够理解并处理各种问题，提供安全、有帮助、准确的回答。" +
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"当前时间："+ DateUtils.getDate();
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}
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// 设置系统默认提示词
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Message sysMessage = Message.builder().content(sysPrompt).role(Message.Role.SYSTEM).build();
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messages.add(0,sysMessage);
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chatRequest.setSysPrompt(sysPrompt);
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// 查询向量库相关信息加入到上下文
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if(StringUtils.isNotEmpty(chatRequest.getKid())){
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List<Message> knMessages = new ArrayList<>();
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String content = messages.get(messages.size() - 1).getContent().toString();
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List<String> nearestList;
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List<Double> queryVector = embeddingService.getQueryVector(content, chatRequest.getKid());
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nearestList = vectorStore.nearest(queryVector, chatRequest.getKid());
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for (String prompt : nearestList) {
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Message userMessage = Message.builder().content(prompt).role(Message.Role.USER).build();
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knMessages.add(userMessage);
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}
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Message userMessage = Message.builder().content(content + (!nearestList.isEmpty() ? "\n\n注意：回答问题时，须严格根据我给你的系统上下文内容原文进行回答，请不要自己发挥,回答时保持原来文本的段落层级" : "")).role(Message.Role.USER).build();
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knMessages.add(userMessage);
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messages.addAll(knMessages);
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}
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// 用户对话内容
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String chatString = null;
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// 获取用户对话信息
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Object content = messages.get(messages.size() - 1).getContent();
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if (content instanceof List<?> listContent) {
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if (CollectionUtil.isNotEmpty(listContent)) {
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chatString = listContent.get(0).toString();
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}
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} else if (content instanceof String) {
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chatString = (String) content;
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}
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// 设置对话信息
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chatRequest.setPrompt(chatString);
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// 加载联网信息
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if(chatRequest.getSearch()){
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Message message = Message.builder().role(Message.Role.ASSISTANT).content("联网信息:"+webSearch(chatString)).build();
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messages.add(message);
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}
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}
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/**
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* 文字转语音
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*/
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@Override
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public ResponseEntity<Resource> textToSpeed(TextToSpeech textToSpeech) {
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ResponseBody body = openAiStreamClient.textToSpeech(textToSpeech);
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if (body != null) {
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// 将ResponseBody转换为InputStreamResource
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InputStreamResource resource = new InputStreamResource(body.byteStream());
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// 创建并返回ResponseEntity
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return ResponseEntity.ok()
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.contentType(MediaType.parseMediaType("audio/mpeg"))
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.body(resource);
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} else {
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// 如果ResponseBody为空，返回404状态码
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return ResponseEntity.notFound().build();
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}
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}
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/**
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* 语音转文字
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*/
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@Override
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public WhisperResponse speechToTextTranscriptionsV2(MultipartFile file) {
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// 确保文件不为空
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if (file.isEmpty()) {
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throw new IllegalStateException("Cannot convert an empty MultipartFile");
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}
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if (!FileUtils.isValidFileExtention(file, MimeTypeUtils.AUDIO__EXTENSION)) {
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throw new IllegalStateException("File Extention not supported");
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}
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// 创建一个文件对象
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File fileA = new File(System.getProperty("java.io.tmpdir") + File.separator + file.getOriginalFilename());
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try {
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// 将 MultipartFile 的内容写入文件
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file.transferTo(fileA);
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} catch (IOException e) {
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throw new RuntimeException("Failed to convert MultipartFile to File", e);
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}
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return openAiStreamClient.speechToTextTranscriptions(fileA);
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}
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@Override
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public UploadFileResponse upload(MultipartFile file) {
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if (file.isEmpty()) {
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throw new IllegalStateException("Cannot upload an empty MultipartFile");
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}
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if (!FileUtils.isValidFileExtention(file, MimeTypeUtils.DEFAULT_ALLOWED_EXTENSION)) {
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throw new IllegalStateException("File Extention not supported");
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}
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return openAiStreamClient.uploadFile("fine-tune", convertMultiPartToFile(file));
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}
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private File convertMultiPartToFile(MultipartFile multipartFile) {
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File file = null;
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try {
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// 获取原始文件名
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String originalFileName = multipartFile.getOriginalFilename();
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// 默认扩展名
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String extension = ".tmp";
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// 尝试从原始文件名中获取扩展名
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if (originalFileName != null && originalFileName.contains(".")) {
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extension = originalFileName.substring(originalFileName.lastIndexOf("."));
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}
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// 使用原始文件的扩展名创建临时文件
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Path tempFile = Files.createTempFile(null, extension);
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file = tempFile.toFile();
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// 将MultipartFile的内容写入文件
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try (InputStream inputStream = multipartFile.getInputStream();
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FileOutputStream outputStream = new FileOutputStream(file)) {
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int read;
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byte[] bytes = new byte[1024];
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while ((read = inputStream.read(bytes)) != -1) {
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outputStream.write(bytes, 0, read);
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}
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} catch (IOException e) {
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// 处理文件写入异常
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e.printStackTrace();
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}
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} catch (IOException e) {
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// 处理临时文件创建异常
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e.printStackTrace();
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}
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return file;
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}
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@Override
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public String wxCpChat(String prompt) {
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List<Message> messageList = new ArrayList<>();
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Message message = Message.builder().role(Message.Role.USER).content(prompt).build();
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messageList.add(message);
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ChatCompletion chatCompletion = ChatCompletion
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.builder()
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.messages(messageList)
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.model("gpt-4o-mini")
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.stream(false)
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.build();
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ChatCompletionResponse chatCompletionResponse = openAiStreamClient.chatCompletion(chatCompletion);
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return chatCompletionResponse.getChoices().get(0).getMessage().getContent().toString();
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}
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@Override
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public String webSearch (String prompt) {
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String zpValue = configService.getConfigValue("zhipu", "key");
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if(StringUtils.isEmpty(zpValue)){
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throw new IllegalStateException("请在chat_config中配置智谱key信息");
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}else {
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ClientV4 client = new ClientV4.Builder(zpValue)
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.networkConfig(300, 100, 100, 100, TimeUnit.SECONDS)
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.connectionPool(new okhttp3.ConnectionPool(8, 1, TimeUnit.SECONDS))
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.build();
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SearchChatMessage jsonNodes = new SearchChatMessage();
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jsonNodes.setRole(Message.Role.USER.getName());
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jsonNodes.setContent(prompt);
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String requestId = String.format(requestIdTemplate, System.currentTimeMillis());
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WebSearchParamsRequest chatCompletionRequest = WebSearchParamsRequest.builder()
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.model("web-search-pro")
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.stream(Boolean.TRUE)
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.messages(Collections.singletonList(jsonNodes))
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.requestId(requestId)
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.build();
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WebSearchApiResponse webSearchApiResponse = client.webSearchProStreamingInvoke(chatCompletionRequest);
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List<ChoiceDelta> choices = new ArrayList<>();
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if (webSearchApiResponse.isSuccess()) {
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AtomicBoolean isFirst = new AtomicBoolean(true);
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AtomicReference<WebSearchPro> lastAccumulator = new AtomicReference<>();
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webSearchApiResponse.getFlowable().map(result -> result)
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.doOnNext(accumulator -> {
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{
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if (isFirst.getAndSet(false)) {
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log.info("Response: ");
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}
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ChoiceDelta delta = accumulator.getChoices().get(0).getDelta();
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if (delta != null && delta.getToolCalls() != null) {
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log.info("tool_calls: {}", mapper.writeValueAsString(delta.getToolCalls()));
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}
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choices.add(delta);
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}
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})
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.doOnComplete(() -> System.out.println("Stream completed."))
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.doOnError(throwable -> System.err.println("Error: " + throwable))
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.blockingSubscribe();
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WebSearchPro chatMessageAccumulator = lastAccumulator.get();
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webSearchApiResponse.setFlowable(null);
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webSearchApiResponse.setData(chatMessageAccumulator);
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}
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return choices.get(1).getToolCalls().toString();
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}
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}
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}
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