package org.ruoyi.chat.service.chat.impl;
|
|
import cn.dev33.satoken.stp.StpUtil;
|
import cn.hutool.extra.servlet.ServletUtil;
|
import com.google.protobuf.ServiceException;
|
import io.github.ollama4j.OllamaAPI;
|
import io.github.ollama4j.models.chat.OllamaChatMessage;
|
import io.github.ollama4j.models.chat.OllamaChatMessageRole;
|
import io.github.ollama4j.models.chat.OllamaChatRequestBuilder;
|
import io.github.ollama4j.models.chat.OllamaChatRequestModel;
|
import io.github.ollama4j.models.generate.OllamaStreamHandler;
|
import jakarta.servlet.http.HttpServletRequest;
|
import lombok.RequiredArgsConstructor;
|
import lombok.extern.slf4j.Slf4j;
|
import okhttp3.*;
|
import org.ruoyi.chat.listener.SSEEventSourceListener;
|
|
import org.ruoyi.chat.service.chat.ISseService;
|
import org.ruoyi.common.chat.config.ChatConfig;
|
import org.ruoyi.common.chat.domain.request.ChatRequest;
|
import org.ruoyi.common.chat.entity.Tts.TextToSpeech;
|
import org.ruoyi.common.chat.entity.chat.ChatCompletion;
|
import org.ruoyi.common.chat.entity.chat.ChatCompletionResponse;
|
|
import org.ruoyi.common.chat.entity.chat.Message;
|
import org.ruoyi.common.chat.entity.files.UploadFileResponse;
|
import org.ruoyi.common.chat.entity.whisper.WhisperResponse;
|
import org.ruoyi.common.chat.openai.OpenAiStreamClient;
|
import org.ruoyi.common.core.utils.file.FileUtils;
|
import org.ruoyi.common.core.utils.file.MimeTypeUtils;
|
|
import org.ruoyi.common.redis.utils.RedisUtils;
|
import org.ruoyi.domain.vo.ChatModelVo;
|
import org.ruoyi.service.IChatModelService;
|
import org.springframework.core.io.InputStreamResource;
|
import org.springframework.core.io.Resource;
|
import org.springframework.http.MediaType;
|
import org.springframework.http.ResponseEntity;
|
import org.springframework.stereotype.Service;
|
import org.springframework.web.multipart.MultipartFile;
|
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
|
|
import java.io.File;
|
import java.io.FileOutputStream;
|
import java.io.IOException;
|
import java.io.InputStream;
|
import java.nio.file.Files;
|
import java.nio.file.Path;
|
import java.time.Duration;
|
import java.util.ArrayList;
|
import java.util.List;
|
import java.util.concurrent.CompletableFuture;
|
|
@Service
|
@Slf4j
|
@RequiredArgsConstructor
|
public class SseServiceImpl implements ISseService {
|
|
private OpenAiStreamClient openAiStreamClient;
|
|
private final ChatConfig chatConfig;
|
|
private final IChatModelService chatModelService;
|
|
@Override
|
public SseEmitter sseChat(ChatRequest chatRequest, HttpServletRequest request) {
|
SseEmitter sseEmitter = new SseEmitter(0L);
|
SSEEventSourceListener openAIEventSourceListener = new SSEEventSourceListener(sseEmitter);
|
// 获取对话消息列表
|
List<Message> messages = chatRequest.getMessages();
|
try {
|
if (StpUtil.isLogin()) {
|
// 通过模型名称查询模型信息
|
ChatModelVo chatModelVo = chatModelService.selectModelByName(chatRequest.getModel());
|
// 构建api请求客户端
|
openAiStreamClient = chatConfig.createOpenAiStreamClient(chatModelVo.getApiHost(), chatModelVo.getApiKey());
|
|
// 模型设置默认提示词
|
|
// 是否开启联网查询
|
}else {
|
// 未登录用户限制对话次数,默认5次
|
String clientIp = ServletUtil.getClientIP((javax.servlet.http.HttpServletRequest) request,"X-Forwarded-For");
|
|
int timeWindowInSeconds = 5;
|
|
String redisKey = "visitor:" + clientIp;
|
int count = 0;
|
|
if (RedisUtils.getCacheObject(redisKey) == null) {
|
// 当前访问次数
|
RedisUtils.setCacheObject(redisKey, count, Duration.ofSeconds(86400));
|
}else {
|
count = RedisUtils.getCacheObject(redisKey);
|
if (count >= timeWindowInSeconds) {
|
throw new ServiceException("当日免费次数已用完");
|
}
|
count++;
|
RedisUtils.setCacheObject(redisKey, count);
|
}
|
}
|
|
ChatCompletion completion = ChatCompletion
|
.builder()
|
.messages(messages)
|
.model(chatRequest.getModel())
|
.temperature(chatRequest.getTemperature())
|
.topP(chatRequest.getTop_p())
|
.stream(true)
|
.build();
|
openAiStreamClient.streamChatCompletion(completion, openAIEventSourceListener);
|
// 保存消息记录 并扣除费用
|
|
} catch (Exception e) {
|
String message = e.getMessage();
|
sendErrorEvent(sseEmitter, message);
|
return sseEmitter;
|
}
|
return sseEmitter;
|
}
|
|
|
/**
|
* 发送SSE错误事件的封装方法
|
*
|
* @param sseEmitter
|
* @param errorMessage
|
*/
|
private void sendErrorEvent(SseEmitter sseEmitter, String errorMessage) {
|
SseEmitter.SseEventBuilder event = SseEmitter.event()
|
.name("error")
|
.data(errorMessage);
|
try {
|
sseEmitter.send(event);
|
} catch (IOException e) {
|
log.error("发送事件失败: {}", e.getMessage());
|
}
|
sseEmitter.complete();
|
}
|
|
/**
|
* 文字转语音
|
*/
|
@Override
|
public ResponseEntity<Resource> textToSpeed(TextToSpeech textToSpeech) {
|
ResponseBody body = openAiStreamClient.textToSpeech(textToSpeech);
|
if (body != null) {
|
// 将ResponseBody转换为InputStreamResource
|
InputStreamResource resource = new InputStreamResource(body.byteStream());
|
|
// 创建并返回ResponseEntity
|
return ResponseEntity.ok()
|
.contentType(MediaType.parseMediaType("audio/mpeg"))
|
.body(resource);
|
} else {
|
// 如果ResponseBody为空，返回404状态码
|
return ResponseEntity.notFound().build();
|
}
|
}
|
|
/**
|
* 语音转文字
|
*/
|
@Override
|
public WhisperResponse speechToTextTranscriptionsV2(MultipartFile file) {
|
// 确保文件不为空
|
if (file.isEmpty()) {
|
throw new IllegalStateException("Cannot convert an empty MultipartFile");
|
}
|
if (!FileUtils.isValidFileExtention(file, MimeTypeUtils.AUDIO__EXTENSION)) {
|
throw new IllegalStateException("File Extention not supported");
|
}
|
// 创建一个文件对象
|
File fileA = new File(System.getProperty("java.io.tmpdir") + File.separator + file.getOriginalFilename());
|
try {
|
// 将 MultipartFile 的内容写入文件
|
file.transferTo(fileA);
|
} catch (IOException e) {
|
throw new RuntimeException("Failed to convert MultipartFile to File", e);
|
}
|
return openAiStreamClient.speechToTextTranscriptions(fileA);
|
}
|
|
|
@Override
|
public UploadFileResponse upload(MultipartFile file) {
|
if (file.isEmpty()) {
|
throw new IllegalStateException("Cannot upload an empty MultipartFile");
|
}
|
if (!FileUtils.isValidFileExtention(file, MimeTypeUtils.DEFAULT_ALLOWED_EXTENSION)) {
|
throw new IllegalStateException("File Extention not supported");
|
}
|
openAiStreamClient = chatConfig.getOpenAiStreamClient();
|
return openAiStreamClient.uploadFile("fine-tune", convertMultiPartToFile(file));
|
}
|
|
private File convertMultiPartToFile(MultipartFile multipartFile) {
|
File file = null;
|
try {
|
// 获取原始文件名
|
String originalFileName = multipartFile.getOriginalFilename();
|
// 默认扩展名
|
String extension = ".tmp";
|
// 尝试从原始文件名中获取扩展名
|
if (originalFileName != null && originalFileName.contains(".")) {
|
extension = originalFileName.substring(originalFileName.lastIndexOf("."));
|
}
|
|
// 使用原始文件的扩展名创建临时文件
|
Path tempFile = Files.createTempFile(null, extension);
|
file = tempFile.toFile();
|
|
// 将MultipartFile的内容写入文件
|
try (InputStream inputStream = multipartFile.getInputStream();
|
FileOutputStream outputStream = new FileOutputStream(file)) {
|
int read;
|
byte[] bytes = new byte[1024];
|
while ((read = inputStream.read(bytes)) != -1) {
|
outputStream.write(bytes, 0, read);
|
}
|
} catch (IOException e) {
|
// 处理文件写入异常
|
e.printStackTrace();
|
}
|
} catch (IOException e) {
|
// 处理临时文件创建异常
|
e.printStackTrace();
|
}
|
return file;
|
}
|
|
@Override
|
public SseEmitter ollamaChat(ChatRequest chatRequest) {
|
String[] parts = chatRequest.getModel().split("ollama-");
|
ChatModelVo chatModelVo = chatModelService.selectModelByName(chatRequest.getModel());
|
final SseEmitter emitter = new SseEmitter();
|
String host = chatModelVo.getApiHost();
|
List<Message> msgList = chatRequest.getMessages();
|
List<OllamaChatMessage> messages = new ArrayList<>();
|
|
for (Message message : msgList) {
|
OllamaChatMessage ollamaChatMessage = new OllamaChatMessage();
|
ollamaChatMessage.setRole(OllamaChatMessageRole.USER);
|
ollamaChatMessage.setContent(message.getContent().toString());
|
messages.add(ollamaChatMessage);
|
}
|
OllamaAPI api = new OllamaAPI(host);
|
api.setRequestTimeoutSeconds(100);
|
OllamaChatRequestBuilder builder = OllamaChatRequestBuilder.getInstance(parts[1]);
|
|
OllamaChatRequestModel requestModel = builder
|
.withMessages(messages)
|
.build();
|
|
// 异步执行 OllAma API 调用
|
CompletableFuture.runAsync(() -> {
|
try {
|
StringBuilder response = new StringBuilder();
|
OllamaStreamHandler streamHandler = (s) -> {
|
String substr = s.substring(response.length());
|
response.append(substr);
|
System.out.println(substr);
|
try {
|
emitter.send(substr);
|
} catch (IOException e) {
|
sendErrorEvent(emitter, e.getMessage());
|
}
|
};
|
api.chat(requestModel, streamHandler);
|
emitter.complete();
|
} catch (Exception e) {
|
sendErrorEvent(emitter, e.getMessage());
|
}
|
});
|
return emitter;
|
}
|
|
@Override
|
public String wxCpChat(String prompt) {
|
List<Message> messageList = new ArrayList<>();
|
Message message = Message.builder().role(Message.Role.USER).content(prompt).build();
|
messageList.add(message);
|
ChatCompletion chatCompletion = ChatCompletion
|
.builder()
|
.messages(messageList)
|
.model("gpt-4o-mini")
|
.stream(false)
|
.build();
|
ChatCompletionResponse chatCompletionResponse = openAiStreamClient.chatCompletion(chatCompletion);
|
return chatCompletionResponse.getChoices().get(0).getMessage().getContent().toString();
|
}
|
}
|
