package com.xmzs.system.service.impl;
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import cn.hutool.core.date.DateUtil;
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import com.xmzs.common.chat.config.LocalCache;
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import com.xmzs.common.chat.constant.OpenAIConst;
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import com.xmzs.common.chat.domain.request.ChatRequest;
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import com.xmzs.common.chat.domain.request.Dall3Request;
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import com.xmzs.common.chat.domain.request.MjTaskRequest;
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import com.xmzs.common.chat.entity.Tts.TextToSpeech;
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import com.xmzs.common.chat.entity.chat.*;
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import com.xmzs.common.chat.entity.images.Image;
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import com.xmzs.common.chat.entity.images.ImageResponse;
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import com.xmzs.common.chat.entity.images.Item;
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import com.xmzs.common.chat.entity.whisper.WhisperResponse;
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import com.xmzs.common.chat.openai.OpenAiStreamClient;
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import com.xmzs.common.chat.utils.TikTokensUtil;
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import com.xmzs.common.core.domain.model.LoginUser;
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import com.xmzs.common.core.exception.ServiceException;
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import com.xmzs.common.core.exception.base.BaseException;
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import com.xmzs.common.core.utils.StringUtils;
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import com.xmzs.common.satoken.utils.LoginHelper;
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import com.xmzs.system.domain.SysUser;
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import com.xmzs.system.domain.bo.ChatMessageBo;
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import com.xmzs.system.listener.SSEEventSourceListener;
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import com.xmzs.system.mapper.SysUserMapper;
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import com.xmzs.system.service.IChatService;
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import com.xmzs.system.service.IChatMessageService;
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import com.xmzs.system.service.ISseService;
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import lombok.RequiredArgsConstructor;
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import lombok.SneakyThrows;
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import lombok.extern.slf4j.Slf4j;
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import okhttp3.ResponseBody;
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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.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 retrofit2.Call;
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import retrofit2.Callback;
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import retrofit2.Response;
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import org.springframework.http.MediaType;
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import java.io.*;
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import java.util.Collections;
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import java.util.List;
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import java.util.Objects;
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import org.springframework.core.io.InputStreamResource;
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import org.springframework.http.MediaType;
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import org.springframework.http.ResponseEntity;
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import okhttp3.ResponseBody;
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/**
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* 描述：
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*
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* @author https:www.unfbx.com
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* @date 2023-04-08
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*/
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@Service
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@Slf4j
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@RequiredArgsConstructor
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public class ISseServiceImpl implements ISseService {
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private final OpenAiStreamClient openAiStreamClient;
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private final IChatService IChatService;
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private final SysUserMapper sysUserMapper;
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private final IChatMessageService chatMessageService;
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@Override
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public SseEmitter sseChat(ChatRequest chatRequest) {
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LocalCache.CACHE.put("userId",getUserId());
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SseEmitter sseEmitter = new SseEmitter(0L);
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SSEEventSourceListener openAIEventSourceListener = new SSEEventSourceListener(sseEmitter);
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checkUserGrade(sseEmitter, chatRequest.getModel());
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// 获取对话消息列表
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List<Message> msgList = chatRequest.getMessages();
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// 图文识别上下文信息
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List<Content> contentList = chatRequest.getContent();
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// 消息记录
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Message message = msgList.get(msgList.size() - 1);
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ChatMessageBo chatMessageBo = new ChatMessageBo();
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chatMessageBo.setUserId(getUserId());
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chatMessageBo.setModelName(chatRequest.getModel());
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chatMessageBo.setContent(message.getContent());
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// 图文识别模型
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if (ChatCompletion.Model.GPT_4_VISION_PREVIEW.getName().equals(chatRequest.getModel())) {
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MessagePicture messagePicture = MessagePicture.builder().role(Message.Role.USER.getName()).content(contentList).build();
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ChatCompletionWithPicture chatCompletion = ChatCompletionWithPicture
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.builder()
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.messages(Collections.singletonList(messagePicture))
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.model(chatRequest.getModel())
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.temperature(chatRequest.getTemperature())
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.topP(chatRequest.getTop_p())
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.stream(true)
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.build();
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openAiStreamClient.streamChatCompletion(chatCompletion, openAIEventSourceListener);
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// 扣除图文对话费用
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IChatService.deductUserBalance(getUserId(),OpenAIConst.GPT4_COST);
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String text = contentList.get(contentList.size() - 1).getText();
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// 保存消息记录
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chatMessageBo.setContent(text);
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chatMessageBo.setDeductCost(OpenAIConst.GPT4_COST);
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chatMessageBo.setTotalTokens(0);
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chatMessageService.insertByBo(chatMessageBo);
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} else {
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ChatCompletion completion = ChatCompletion
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.builder()
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.messages(msgList)
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.model(chatRequest.getModel())
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.temperature(chatRequest.getTemperature())
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.topP(chatRequest.getTop_p())
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.stream(true)
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.build();
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openAiStreamClient.streamChatCompletion(completion, openAIEventSourceListener);
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if("gpt-4-all".equals(chatRequest.getModel())
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|| chatRequest.getModel().startsWith("gpt-4-gizmo")
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|| chatRequest.getModel().startsWith("net")
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){
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chatMessageBo.setDeductCost(0.0);
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// 保存消息记录
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chatMessageService.insertByBo(chatMessageBo);
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}else {
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// 扣除余额
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int tokens = TikTokensUtil.tokens(chatRequest.getModel(), msgList);
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chatMessageBo.setTotalTokens(tokens);
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IChatService.deductToken(chatMessageBo);
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}
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}
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return sseEmitter;
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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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*/
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@Override
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public ResponseEntity<Resource> textToSpeed(TextToSpeech textToSpeech) {
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ResponseBody body = openAiStreamClient.textToSpeechClone(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")) // 假设是MP3文件
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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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*/
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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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// 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 String chat(ChatRequest chatRequest) {
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Message message = Message.builder().role(Message.Role.USER).content(chatRequest.getPrompt()).build();
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ChatCompletion chatCompletion = ChatCompletion
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.builder()
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.messages(Collections.singletonList(message))
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.model(chatRequest.getModel())
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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();
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}
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/**
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* dall-e-3绘画接口
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*
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* @param request
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* @return
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*/
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public List<Item> dall3(Dall3Request request) {
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checkUserGrade(null,"");
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// DALL3 绘图模型
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Image image = Image.builder()
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.responseFormat(com.xmzs.common.chat.entity.images.ResponseFormat.URL.getName())
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.model(Image.Model.DALL_E_3.getName())
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.prompt(request.getPrompt())
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.n(1)
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.quality(request.getQuality())
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.size(request.getSize())
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.style(request.getStyle())
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.build();
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ImageResponse imageResponse = openAiStreamClient.genImages(image);
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// 扣除费用
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if(Objects.equals(request.getSize(), "1792x1024") || Objects.equals(request.getSize(), "1024x1792")){
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IChatService.deductUserBalance(getUserId(),OpenAIConst.DALL3_HD_COST);
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}else {
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IChatService.deductUserBalance(getUserId(),OpenAIConst.DALL3_COST);
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}
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// 保存消息记录
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ChatMessageBo chatMessageBo = new ChatMessageBo();
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chatMessageBo.setUserId(getUserId());
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chatMessageBo.setModelName(Image.Model.DALL_E_3.getName());
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chatMessageBo.setContent(request.getPrompt());
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chatMessageBo.setDeductCost(OpenAIConst.GPT4_COST);
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chatMessageBo.setTotalTokens(0);
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chatMessageService.insertByBo(chatMessageBo);
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return imageResponse.getData();
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}
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@Override
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public void mjTask(MjTaskRequest mjTaskRequest) {
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// 检验是否是付费用户
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checkUserGrade(null,"");
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//扣除费用
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IChatService.deductUserBalance(getUserId(),0.5);
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// 保存消息记录
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ChatMessageBo chatMessageBo = new ChatMessageBo();
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chatMessageBo.setUserId(getUserId());
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chatMessageBo.setModelName("mj");
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chatMessageBo.setContent(mjTaskRequest.getPrompt());
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chatMessageBo.setDeductCost(0.5);
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chatMessageBo.setTotalTokens(0);
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chatMessageService.insertByBo(chatMessageBo);
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}
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/**
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* 判断用户是否付费
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*/
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public void checkUserGrade(SseEmitter emitter, String model) {
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SysUser sysUser = sysUserMapper.selectById(getUserId());
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if(StringUtils.isEmpty(model)){
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if("0".equals(sysUser.getUserGrade())){
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throw new ServiceException("免费用户暂时不支持此模型,请切换gpt-3.5-turbo模型或者点击《进入市场选购您的商品》充值后使用!",500);
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}
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}
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// TODO 添加枚举
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if ("0".equals(sysUser.getUserGrade()) && !ChatCompletion.Model.GPT_3_5_TURBO.getName().equals(model)) {
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// 创建并发送一个名为 "error" 的事件，带有错误消息和状态码
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SseEmitter.SseEventBuilder event = SseEmitter.event()
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.name("error") // 客户端将监听这个事件名
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.data("免费用户暂时不支持此模型,请切换gpt-3.5-turbo模型或者点击《进入市场选购您的商品》充值后使用!");
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try {
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emitter.send(event);
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} catch (IOException e) {
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throw new RuntimeException(e);
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}
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emitter.complete();
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}
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}
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/**
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* 获取用户Id
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*
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* @return
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*/
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public Long getUserId(){
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LoginUser loginUser = LoginHelper.getLoginUser();
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if (loginUser == null) {
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throw new BaseException("用户未登录！");
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}
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return loginUser.getUserId();
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}
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public static double calculateMjCost(String speed) {
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return switch (speed) {
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case "mj-relax" -> 0.2; // Handles null and "mj-relax"
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case "mj-fast" -> 0.5;
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case "mj-turbo" -> 1.0;
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default -> 0.5; // Default cost if none of the above speeds match
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};
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}
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}
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