集成ai部分
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package com.ruoyi.cms.config;
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import com.alibaba.fastjson2.JSONArray;
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import com.alibaba.fastjson2.JSONObject;
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import com.ruoyi.cms.domain.chat.ChatRequest;
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import com.ruoyi.common.utils.StringUtils;
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import lombok.var;
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import okhttp3.*;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.beans.factory.annotation.Value;
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import org.springframework.stereotype.Component;
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import org.springframework.util.CollectionUtils;
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import java.io.IOException;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Objects;
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import java.util.concurrent.TimeUnit;
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@Component
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public class ChatClient {
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// 超时设置（单位：秒）
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private static final int CONNECT_TIMEOUT = 30;
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private static final int WRITE_TIMEOUT = 30;
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private static final int READ_TIMEOUT = 300; // 流式响应不设置读取超时
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// 单例 OkHttp 客户端（复用连接池）
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private static final OkHttpClient client = new OkHttpClient.Builder()
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.connectTimeout(CONNECT_TIMEOUT, TimeUnit.SECONDS)
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.writeTimeout(WRITE_TIMEOUT, TimeUnit.SECONDS)
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.readTimeout(READ_TIMEOUT, TimeUnit.SECONDS)
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.build();
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private static final String CHAT_ENDPOINT = "chat";
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private static final String CHAT_HISTORY = "history";
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public static final List<String> TEXT_FILE_EXTENSIONS= Arrays.asList(".txt", ".md", ".html", ".doc", ".docx", ".pdf", ".ppt", ".pptx", ".csv", ".xls", ".xlsx");
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public static final List<String> IMAGE_FILE_EXTENSIONS=Arrays.asList(".jpg", ".jpeg", ".png", ".gif", ".bmp", ".webp");
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private ChatConfig chatConfig;
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@Autowired
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public void setChatConfig(ChatConfig chatConfig) {
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this.chatConfig = chatConfig;
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}
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@Value("${spring.profiles.active}")
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private String env;
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/**
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* 发送流式聊天请求
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* @param chatRequest 查询请求体
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* @param callback 流式响应回调接口
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*/
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public void sendStreamingChat(ChatRequest chatRequest, StreamCallback callback) {
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String url=chatConfig.getBaseUrl()+chatConfig.getChatUrl();
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// 构建请求体
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String jsonBody = buildChatRequestBody(chatRequest, CHAT_ENDPOINT);
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// 构建请求
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Request request = null;
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try {
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RequestBody body = RequestBody.create(MediaType.parse("application/json; charset=utf-8"),jsonBody);
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request = new Request.Builder()
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.url(url)
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.addHeader("Content-Type", "application/json")
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.addHeader("Authorization", "Bearer " + chatConfig.getApiKey())
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.post(body).build();
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}catch (Exception e){
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e.printStackTrace();
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callback.onError(new RuntimeException("构建请求失败: " + e.getMessage(), e));
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return;
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}
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// 发送异步请求
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client.newCall(request).enqueue(new Callback() {
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@Override
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public void onFailure(Call call, IOException e) {
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callback.onError(new RuntimeException("请求发送失败: " + e.getMessage(), e));
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}
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@Override
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public void onResponse(Call call, Response response) throws IOException {
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try {
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if (!response.isSuccessful()) {
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String errorBody = response.body() != null ? response.body().string() : "无错误信息";
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String errorMsg = String.format("API 响应错误: 状态码=%d, 错误信息=%s",
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response.code(), errorBody);
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System.err.println(errorMsg); // 打印详细错误
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callback.onError(new RuntimeException(errorMsg));
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return;
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}
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// 处理流式响应
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ResponseBody body = response.body();
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if (body == null) {
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callback.onError(new RuntimeException("响应体为空"));
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return;
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}
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// 逐行读取 SSE 格式的响应
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try (var bufferedSource = body.source()) {
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while (!bufferedSource.exhausted()) {
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String chunk = bufferedSource.readUtf8Line();
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if (chunk != null && !chunk.trim().isEmpty()) {
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callback.onData(chunk);
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}
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}
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}
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// 通知流结束
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callback.onComplete();
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} catch (Exception e) {
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String errorMsg = "处理响应失败: " + e.getMessage();
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System.err.println(errorMsg);
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callback.onError(new RuntimeException(errorMsg, e));
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} finally {
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response.close();
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}
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}
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});
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}
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/**
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* 构建聊天请求的 JSON 体
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*/
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/**
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* 构建聊天请求的 JSON 体
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* 根据文档 [cite: 162-172] 修改为 Vision API 兼容格式
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*/
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private String buildChatRequestBody(ChatRequest chatRequest, String key) {
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JSONObject chatObject = new JSONObject();
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// 1. 设置会话ID (如果有)
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if(StringUtils.isNotEmpty(chatRequest.getSessionId())){
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chatObject.put("chatId", chatRequest.getSessionId());
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}
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if("chat".equals(key)){
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// 基础参数设置
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chatObject.put("stream", true);
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chatObject.put("model", chatConfig.getModel()); // 需确保为 "qd-job-turbo"
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chatObject.put("user", chatRequest.getSessionId());
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// 2. 获取历史消息列表，如果为空则初始化
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JSONArray messages = chatRequest.getMessages();
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if (messages == null) {
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messages = new JSONArray();
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}
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// 3. 构建当前用户的多模态消息内容 (Multimodal Content) [cite: 162]
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JSONArray contentArray = new JSONArray();
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// 3.1 添加文本内容 [cite: 166, 172]
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if(StringUtils.isNotEmpty(chatRequest.getData())){
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JSONObject textPart = new JSONObject();
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textPart.put("type", "text");
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textPart.put("text", chatRequest.getData());
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contentArray.add(textPart);
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}
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// 3.2 添加文件内容 (图片、PDF、Excel等) [cite: 174, 180, 232]
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// 文档说明：image_url 字段兼容 PDF, Excel, PPT 等所有 OCR 支持的文件
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if(!CollectionUtils.isEmpty(chatRequest.getFileUrl())){
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for(String url : chatRequest.getFileUrl()){
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String finalUrl = "";
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if(Objects.equals(env, "pro")){
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finalUrl = url.replace("https://fw.rc.qingdao.gov.cn/rgpp-api/api/ng", "http://10.213.6.207:19010");
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}else {
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finalUrl = url;
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}
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// 处理内网/外网地址映射 (保留你原有的逻辑)
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JSONObject filePart = new JSONObject();
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filePart.put("type", "image_url"); // 固定为 image_url [cite: 174]
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JSONObject imageUrlObj = new JSONObject();
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imageUrlObj.put("url", finalUrl); // 文件地址 [cite: 172]
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filePart.put("image_url", imageUrlObj);
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contentArray.add(filePart);
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}
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}
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// 4. 将当前消息封装为 User Message 对象并加入消息列表 [cite: 151, 163]
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// 只有当有内容（文本或文件）时才添加
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if (!contentArray.isEmpty()) {
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JSONObject currentUserMessage = new JSONObject();
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currentUserMessage.put("role", "user");
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currentUserMessage.put("content", contentArray); // content 为数组格式
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messages.add(currentUserMessage);
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}
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// 5. 将完整的消息列表放入请求体 [cite: 135]
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chatObject.put("messages", messages);
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} else {
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// 非 chat 场景的逻辑保留
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chatObject.put("appId", chatConfig.getAppId());
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}
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return chatObject.toJSONString();
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}
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/**
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* 简单的 JSON 转义处理（防止特殊字符破坏 JSON 格式）
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*/
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private String escapeJson(String value) {
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if (value == null) return "";
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return value
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.replace("\\", "\\\\")
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.replace("\"", "\\\"")
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.replace("\b", "\\b")
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.replace("\f", "\\f")
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.replace("\n", "\\n")
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.replace("\r", "\\r")
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.replace("\t", "\\t");
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}
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/**
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* 发送聊天请求并返回完整JSON响应
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* @param chatRequest 用户输入的查询内容
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* @return 完整的JSON响应字符串
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* @throws IOException 网络请求异常
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*/
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public String sendChatGuest(ChatRequest chatRequest) throws IOException {
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String url=chatConfig.getBaseUrl()+chatConfig.getGuestUrl();
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JSONArray array = chatRequest.getMessages();
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if(array==null||array.isEmpty()||array.size()==0){
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array = new JSONArray();
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}
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JSONObject contentObject = new JSONObject();
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contentObject.put("content","你是一个岗位招聘专家，请根据用户的问题生成用户下一步想要提出的问题。需要以用户的口吻进行生成。结合上下文中用户提出的问题以及助手回复的答案，需要猜测用户更进一步的需求，例如期望的薪资，期望的工作地点，掌握的技能。生成的问题举例：有没有薪资在9000以上的工作？我的学历是本科。我希望找国企。注意不仅限于这些，还要根据上下文。其次所有的问题应该限定在青岛。并且只生成3到4个。");
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contentObject.put("role","system");
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array.add(contentObject);
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JSONObject jsonBody = new JSONObject();
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jsonBody.put("stream",false);
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jsonBody.put("model",chatConfig.getModel());
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jsonBody.put("messages",array);
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// 构建请求（使用非流式响应模式）
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RequestBody requestBody = RequestBody.create(MediaType.parse("application/json; charset=utf-8"), String.valueOf(jsonBody));
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Request request = new Request.Builder()
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.url(url)
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.addHeader("Content-Type", "application/json")
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.addHeader("Authorization", "Bearer " + chatConfig.getApiKey())
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.post(requestBody).build();
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// 发送同步请求
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try (Response response = client.newCall(request).execute()) {
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if (!response.isSuccessful()) {
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String errorBody = response.body() != null ? response.body().string() : "无错误信息";
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String errorMsg = String.format("API 响应错误: 状态码=%d, 错误信息=%s",
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response.code(), errorBody);
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throw new IOException(errorMsg);
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}
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ResponseBody body = response.body();
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if (body == null) {
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throw new IOException("响应体为空");
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}
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JSONObject object = JSONObject.parseObject(body.string());
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String choices = object.getString("choices");
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if (choices != null && !choices.trim().isEmpty()) {
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JSONArray jsonArray = JSONArray.parseArray(choices);
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object = JSONObject.parseObject(jsonArray.getString(0));
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object = object.getJSONObject("message");
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String content = object.getString("content");// 消息内容
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return content;
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}
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return body.string();
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}
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}
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/**
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* 流式响应回调接口
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*/
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public interface StreamCallback {
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/**
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* 接收分片数据
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* @param chunk SSE 格式的分片数据
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*/
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void onData(String chunk);
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/**
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* 响应结束
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*/
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void onComplete();
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/**
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* 发生错误
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* @param e 异常信息
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*/
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void onError(Throwable e);
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}
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}
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