添加多模态数据集相关功能

This commit is contained in:
baggio19852005 2025-09-28 16:40:31 +08:00
parent 6604a24e30
commit 5981928b40
20 changed files with 612 additions and 14 deletions

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@ -110,7 +110,6 @@ public class ConversationController {
public SseEmitter streamChat (@Valid @RequestBody ChatReqVO chatReqVO, HttpServletResponse response) {
log.info("收到对话推理请求,请求参数: {}", chatReqVO);
SseEmitter emitter = new SseEmitter(120_0000L);
// 异步处理避免阻塞主线程
CompletableFuture.runAsync(() -> {
try {
@ -129,6 +128,29 @@ public class ConversationController {
return emitter;
}
@PostMapping("/stream-chat-modal")
public SseEmitter streamChatModal (@Valid @RequestBody ChatReqVO chatReqVO, HttpServletResponse response) {
log.info("收到对话推理请求,请求参数: {}", chatReqVO);
SseEmitter emitter = new SseEmitter(120_0000L);
// 异步处理避免阻塞主线程
CompletableFuture.runAsync(() -> {
try {
conversationService.chatStreamModal(chatReqVO, emitter, response);
emitter.complete();
} catch (Exception e) {
log.error("处理对话推理请求时发生异常:{}", e.getMessage());
try {
emitter.completeWithError(e);
} catch (Exception ex) {
log.error("无法完成 SseEmitter 错误处理", ex);
}
}
});
return emitter;
}
@GetMapping("/paragraphHitRate")
@Operation(summary = "获得大模型对话记录分页")
@PreAuthorize("@ss.hasPermission('llm:conversation:query')")

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@ -5,6 +5,7 @@ import lombok.Data;
import javax.validation.constraints.NotEmpty;
import javax.validation.constraints.NotNull;
import java.util.List;
@Schema(description = "管理后台 - 大模型对话推理聊天 Request VO")
@Data
@ -35,4 +36,6 @@ public class ChatReqVO {
private Double topP;
@Schema(description = "分组id")
private String groupId;
private List<String> imagesList;
}

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@ -171,6 +171,8 @@ public class DatasetController {
return new FileInfoVO("dataset_example_csv.csv", "text/csv");
case 4:
return new FileInfoVO("dataset_example_json.json", "application/json");
case 5:
return new FileInfoVO("VL_test.zip", "application/zip");
default:
throw new IllegalArgumentException("无效的 type 参数");
}

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@ -68,4 +68,6 @@ public class DatasetRespVO {
private String jobId;
private String fileUrl;
private Integer datasetParentType;
}

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@ -108,7 +108,13 @@ public class ModelServiceController {
// @PreAuthorize("@ss.hasPermission('llm:model-service:query')")
public CommonResult<List<ModelServiceRespVO>> getModelServiceList() {
List<ModelServiceDO> list = modelServiceService.getModelServiceList();
return success(BeanUtils.toBean(list, ModelServiceRespVO.class));
List<ModelServiceRespVO> modelServiceRespVOS = BeanUtils.toBean(list, ModelServiceRespVO.class);
modelServiceRespVOS.stream().forEach(result ->{
Long id=result.getFineTuningTask();
BaseModelDO basemodel = baseModelService.getById(id);
result.setModelType(basemodel.getModelType());
});
return success(modelServiceRespVOS);
}
@DeleteMapping("/delete")

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@ -75,6 +75,8 @@ public class LLMBackendProperties {
@NotNull(message = "创建微调任务 POST")
private String finetuningCreate;
@NotNull(message = "创建微调任务多模态 POST")
private String finetuningCreateModal;
@NotNull(message = "停止微调任务 POST")
private String stopFinetuning;
@ -145,4 +147,6 @@ public class LLMBackendProperties {
* 获取调优检查点列表
*/
private String checkFileList;
private String datasetMoreModalApi;
}

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@ -1,14 +1,20 @@
package cn.iocoder.yudao.module.llm.service.async;
import cn.iocoder.yudao.framework.common.util.collection.CollectionUtils;
import cn.iocoder.yudao.framework.common.util.http.HttpUtils;
import cn.iocoder.yudao.module.llm.controller.admin.dataset.vo.DatasetQuestionRespVO;
import cn.iocoder.yudao.module.llm.dal.dataobject.dataset.DatasetDO;
import cn.iocoder.yudao.module.llm.dal.dataobject.dataset.DatasetFilesDO;
import cn.iocoder.yudao.module.llm.dal.mysql.dataset.DatasetFilesMapper;
import cn.iocoder.yudao.module.llm.dal.mysql.dataset.DatasetMapper;
import cn.iocoder.yudao.module.llm.framework.backend.config.LLMBackendProperties;
import cn.iocoder.yudao.module.llm.service.dataset.DatasetFilesService;
import cn.iocoder.yudao.module.llm.service.dataset.vo.AigcDatasetVo;
import cn.iocoder.yudao.module.llm.service.http.TrainHttpService;
import cn.iocoder.yudao.module.llm.service.http.vo.AigcDatasetFileRespV0;
import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.toolkit.StringUtils;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -32,6 +38,9 @@ public class AsyncDataSetService {
@Resource
private LLMBackendProperties llmBackendProperties;
@Resource
private DatasetFilesMapper datasetFilesMapper;
private static final Logger log = LoggerFactory.getLogger(AsyncKnowledgeBase.class);
@Async
@ -75,6 +84,17 @@ public class AsyncDataSetService {
}
}
@Async
public void sendDatasetModal(Long datasetid,String datasetName){
List<DatasetFilesDO> datasetFilesDOS = datasetFilesMapper.selectList(Wrappers.<DatasetFilesDO>lambdaQuery().eq(DatasetFilesDO::getDatasetId, datasetid));
JSONObject param=new JSONObject();
param.put("url",datasetFilesDOS.get(0).getDatasetFileUrl());
param.put("dataset_name",datasetName);
HttpUtils.post(llmBackendProperties.getDatasetMoreModalApi(),null,param.toString());
//llmBackendProperties.getDatasetMoreModalApi()
}
public String JsonFileWriteFine (String hostUrl, DatasetDO datasetDO, List<DatasetQuestionRespVO> datasetQuestionList) {
try {

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@ -122,7 +122,14 @@ public class AsyncFineTuningTaskService {
// 调用模型服务创建微调任务
log.info("正在调用模型服务创建微调任务...");
AigcFineTuningCreateRespVO resp = fineTuningTaskHttpService.finetuningCreate(new HashMap<>(), serverNameDO.getHost(), req);
AigcFineTuningCreateRespVO resp=null;
String modelType = baseModelDO.getModelType();
if("1".equals(modelType)){
resp = fineTuningTaskHttpService.finetuningCreate(new HashMap<>(), serverNameDO.getHost(), req);
}else{
resp = fineTuningTaskHttpService.finetuningCreateModal(new HashMap<>(), serverNameDO.getHost(), req);
}
// 更新任务状态
FineTuningTaskDO updateObj = new FineTuningTaskDO();

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@ -75,6 +75,8 @@ public interface ConversationService {
*/
void chatStream (@Valid ChatReqVO chatReqVO, SseEmitter emitter, HttpServletResponse response);
void chatStreamModal(ChatReqVO chatReqVO, SseEmitter emitter, HttpServletResponse response);
/**
* 获取段落命中率
* @param uuid

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@ -13,11 +13,9 @@ import cn.iocoder.yudao.module.llm.controller.admin.application.vo.ApplicationSa
import cn.iocoder.yudao.module.llm.controller.admin.conversation.vo.*;
import cn.iocoder.yudao.module.llm.controller.admin.conversation.vo.ChatReqVO;
import cn.iocoder.yudao.module.llm.controller.admin.datarefluxdata.vo.DataRefluxDataSaveReqVO;
import cn.iocoder.yudao.module.llm.controller.admin.knowledgebase.vo.KnowledgeBaseSaveReqVO;
import cn.iocoder.yudao.module.llm.controller.admin.knowledgebase.vo.KnowledgeHitRateTestReqVO;
import cn.iocoder.yudao.module.llm.controller.admin.knowledgebase.vo.KnowledgeHitRateTestResultVO;
import cn.iocoder.yudao.module.llm.controller.admin.prompttemplates.vo.PromptTemplatesRespVO;
import cn.iocoder.yudao.module.llm.controller.admin.prompttemplates.vo.PromptTemplatesSaveReqVO;
import cn.iocoder.yudao.module.llm.dal.dataobject.basemodel.BaseModelDO;
import cn.iocoder.yudao.module.llm.dal.dataobject.conversation.ConversationDO;
import cn.iocoder.yudao.module.llm.dal.dataobject.knowledgedocuments.KnowledgeDocumentsDO;
@ -341,6 +339,49 @@ public class ConversationServiceImpl implements ConversationService {
publicModelChatStream(chatReqVO, emitter);
}
@Override
public void chatStreamModal(ChatReqVO chatReqVO, SseEmitter emitter, HttpServletResponse response) {
log.info("开始处理对话请求,请求参数: {}", chatReqVO);
// 检查系统提示信息如果为空则尝试从应用中获取
if (chatReqVO.getSystemPrompt() == null || chatReqVO.getSystemPrompt().isEmpty()) {
if (chatReqVO.getApplicationId() != null) {
log.info("系统提示信息为空,尝试从应用中获取,应用 ID: {}", chatReqVO.getApplicationId());
ApplicationRespVO application = applicationService.getApplication(chatReqVO.getApplicationId());
List<String> messageHistoryList = stringRedisTemplate.opsForList().range(CHAT_HIStORY_REDIS_KEY + ":" + chatReqVO.getUuid(), 0, -1);
if (CollectionUtils.isEmpty(messageHistoryList)) {
log.info("聊天历史记录为空,更新应用聊天计数");
application.setChatCount(application.getChatCount() + 1);
ApplicationSaveReqVO applicationSaveReqVO = BeanUtil.toBean(application, ApplicationSaveReqVO.class);
applicationService.updateApplication(applicationSaveReqVO);
}
// 知识库ID
if (application.getModelServiceId() != null) {
chatReqVO.setKnowledge(application.getModelServiceId());
}
if (!org.apache.commons.lang3.StringUtils.isBlank(application.getPrompt())) {
chatReqVO.setSystemPrompt(application.getPrompt());
if (chatReqVO.getSystemPrompt() == null || chatReqVO.getSystemPrompt().isEmpty()) {
log.info("应用中未找到系统提示信息,使用默认提示信息");
chatReqVO.setSystemPrompt(PROMPT);
}
}
Optional.ofNullable(application.getPromptId()).ifPresent(promptId -> {
PromptTemplatesRespVO promptTemplates = promptTemplatesService.getPromptTemplates(promptId);
int count = Math.max(1, Optional.ofNullable(promptTemplates.getUseCount()).orElse(0) + 1);
promptTemplatesService.updatePromptTemplatesUseCount(Math.toIntExact(promptId),count);
});
log.info("已更新系统提示信息为: {}", chatReqVO.getSystemPrompt());
}
}
// 调用公共模型聊天流式处理方法
publicModelChatStreamModal(chatReqVO, emitter);
}
/**
* 获取段落命中率
*
@ -547,6 +588,180 @@ public class ConversationServiceImpl implements ConversationService {
log.info("数据回流信息保存完成");
}
public void publicModelChatStreamModal(ChatReqVO chatReqVO, SseEmitter emitter) {
log.info("开始公共模型聊天流式处理,请求参数: {}", chatReqVO);
// 检查 UUID 是否为空若为空则生成一个
String uuid = chatReqVO.getUuid();
if (StrUtil.isBlank(uuid)) {
log.info("UUID 为空,生成新的 UUID");
uuid = UUID.randomUUID().toString();
chatReqVO.setUuid(uuid);
}
// 为每一次对话设置ID
String groupId = UUID.randomUUID().toString();
chatReqVO.setGroupId(groupId);
String model = null;
String selfModelUrl = "";
// 根据模型类型获取模型信息
if (Objects.equals(1, chatReqVO.getModelType())) {
log.info("使用预制模型,模型 ID: {}", chatReqVO.getModelId());
BaseModelDO baseModelDO = baseModelService.getBaseModel(chatReqVO.getModelId());
if (baseModelDO == null) {
log.error("预制模型不存在,模型 ID: {}", chatReqVO.getModelId());
try {
emitter.completeWithError(new RuntimeException("BASE_MODEL_NOT_EXISTS"));
} catch (Exception e) {
log.error("无法完成 SseEmitter 错误处理", e);
}
return;
}
selfModelUrl = baseModelDO.getChatUrl();
model = baseModelDO.getAigcModelName();
log.info("获取到预制模型信息,模型名称: {}, 聊天 URL: {}", model, selfModelUrl);
} else if (Objects.equals(0, chatReqVO.getModelType())) {
log.info("使用自定义模型,模型 ID: {}", chatReqVO.getModelId());
ModelServiceDO modelServiceDO = modelServiceMapper.selectById(chatReqVO.getModelId());
if (modelServiceDO == null) {
log.error("自定义模型服务不存在,模型 ID: {}", chatReqVO.getModelId());
try {
emitter.completeWithError(new RuntimeException("MODEL_SERVICE_NOT_EXISTS"));
} catch (Exception e) {
log.error("无法完成 SseEmitter 错误处理", e);
}
return;
}
model = modelServiceDO.getBaseModelName();
selfModelUrl = modelServiceDO.getModelUrl();
log.info("获取到自定义模型信息,模型名称: {}, 模型 URL: {}", model, selfModelUrl);
} else {
log.error("无效的模型类型,模型类型: {}", chatReqVO.getModelType());
try {
emitter.completeWithError(new RuntimeException("BASE_MODEL_NOT_EXISTS"));
} catch (Exception e) {
log.error("无法完成 SseEmitter 错误处理", e);
}
return;
}
List<ModelCompletionsModalReqVO.ModelCompletionsMessageModal> messages = new ArrayList<>();
String systemPrompt = "";
String knowledgeBaseString = "";
if (chatReqVO.getKnowledge() != null) {
StringBuilder knowledgeBase = getKnowledgeBase(chatReqVO);
knowledgeBaseString = knowledgeBase.toString();
// 处理 knowledgeBaseString
if (StringUtils.isNotBlank(knowledgeBaseString)) {
knowledgeBaseString = "<context>" + knowledgeBaseString + "</context>";
} else {
knowledgeBaseString = "<context>" + "</context>";
}
// 处理 systemPrompt
systemPrompt = StringUtils.isBlank(chatReqVO.getSystemPrompt())
? PROMPT
: chatReqVO.getSystemPrompt() + " \n " + PROMPT;
}
String mess = systemPrompt + " \n " + knowledgeBaseString;
if (chatReqVO.getKnowledge() != null) {
log.info("不存在聊天历史记录,创建新的系统消息");
ModelCompletionsModalReqVO.ModelCompletionsMessageModal systemMessage = new ModelCompletionsModalReqVO.ModelCompletionsMessageModal();
systemMessage.setRole("system");
com.alibaba.fastjson.JSONArray jsonarray=new com.alibaba.fastjson.JSONArray();
jsonarray.add(mess);
systemMessage.setContent(jsonarray);
stringRedisTemplate.opsForList().rightPush(CHAT_HIStORY_REDIS_KEY + ":" + chatReqVO.getUuid(), JsonUtils.toJsonString(systemMessage));
// messages.add(systemMessage);
} else {
// 查询历史记录消息并将查询出来的知识信息放入到 role = system 的消息中
List<String> messageHistoryList = stringRedisTemplate.opsForList().range(CHAT_HIStORY_REDIS_KEY + ":" + chatReqVO.getUuid(), 0, -1);
if (messageHistoryList != null && !messageHistoryList.isEmpty()) {
log.info("存在聊天历史记录,处理历史记录消息");
for (String messageHistory : messageHistoryList) {
ModelCompletionsModalReqVO.ModelCompletionsMessageModal modelCompletionsMessage = JsonUtils.parseObject(messageHistory, ModelCompletionsModalReqVO.ModelCompletionsMessageModal.class);
if ("system".equals(modelCompletionsMessage.getRole())) {
com.alibaba.fastjson.JSONArray jsonarray=new com.alibaba.fastjson.JSONArray();
jsonarray.add(mess);
modelCompletionsMessage.setContent(jsonarray);
stringRedisTemplate.opsForList().set(CHAT_HIStORY_REDIS_KEY + ":" + chatReqVO.getUuid(), 0, JsonUtils.toJsonString(modelCompletionsMessage));
}
// messages.add(modelCompletionsMessage);
}
}
// else {
// log.info("不存在聊天历史记录,创建新的系统消息");
// ModelCompletionsReqVO.ModelCompletionsMessage systemMessage = new ModelCompletionsReqVO.ModelCompletionsMessage();
// systemMessage.setRole("system");
// systemMessage.setContent(mess);
// stringRedisTemplate.opsForList().rightPush(CHAT_HIStORY_REDIS_KEY + ":" + chatReqVO.getUuid(), JsonUtils.toJsonString(systemMessage));
// messages.add(systemMessage);
// }
}
// 创建用户消息
ModelCompletionsModalReqVO.ModelCompletionsMessageModal message = new ModelCompletionsModalReqVO.ModelCompletionsMessageModal();
message.setRole("user");
com.alibaba.fastjson.JSONArray contentJsonArray=new com.alibaba.fastjson.JSONArray();
JSONObject textcontentJson=new JSONObject();
textcontentJson.put("type","text");
String msg="";
if(!"".equals(systemPrompt)){
msg=msg+systemPrompt;
}
if(!"".equals(knowledgeBaseString)){
msg=msg+"知识信息:{"+knowledgeBaseString+"}";
}
textcontentJson.put("text",msg+chatReqVO.getPrompt());
contentJsonArray.add(textcontentJson);
List<String> imagesList = chatReqVO.getImagesList();
if(imagesList!=null&&imagesList.size()>0){
JSONObject imagecontentJson=new JSONObject();
imagecontentJson.put("type","image_url");
JSONObject imageurljson=new JSONObject();
imageurljson.put("url",imagesList.get(0));
imagecontentJson.put("image_url",imageurljson);
contentJsonArray.add(imagecontentJson);
}
message.setContent(contentJsonArray);
messages.add(message);
// 构建模型补全请求对象
ModelCompletionsModalReqVO modelCompletionsReqVO = new ModelCompletionsModalReqVO();
modelCompletionsReqVO.setMessages(messages);
modelCompletionsReqVO.setModel(model);
modelCompletionsReqVO.setTemperature(chatReqVO.getTemperature());
modelCompletionsReqVO.setTop_p(chatReqVO.getTopP());
modelCompletionsReqVO.setMax_tokens(chatReqVO.getMaxTokens());
// log.info("构建模型补全请求对象请求参数1: {}", modelCompletionsReqVO);
System.out.println("-----------------整体请求参数"+JSONObject.toJSON(modelCompletionsReqVO));
// 调用模型服务进行流式处理
ModelCompletionsRespVO modelCompletionsRespVO = modelService.modelCompletionsStreamModal(selfModelUrl, modelCompletionsReqVO, emitter, chatReqVO.getUuid(), chatReqVO.getGroupId(), knowledgeBaseString);
if (modelCompletionsRespVO == null) {
throw exception(MODEL_COMPLETIONS_ERROR);
}
// 将用户消息存入缓存
stringRedisTemplate.opsForList().rightPush(CHAT_HIStORY_REDIS_KEY + ":" + chatReqVO.getUuid(), JsonUtils.toJsonString(message));
ModelCompletionsReqVO.ModelCompletionsMessage responseMessage = new ModelCompletionsReqVO.ModelCompletionsMessage();
responseMessage.setRole("assistant");
responseMessage.setContent(modelCompletionsRespVO.getAnswer());
stringRedisTemplate.opsForList().rightPush(CHAT_HIStORY_REDIS_KEY + ":" + chatReqVO.getUuid(), JsonUtils.toJsonString(responseMessage));
// 保存数据回流信息
DataRefluxDataSaveReqVO dataRefluxDataSaveReqVO = new DataRefluxDataSaveReqVO();
dataRefluxDataSaveReqVO.setModelServiceId(chatReqVO.getModelId());
dataRefluxDataSaveReqVO.setModelType(chatReqVO.getModelType());
dataRefluxDataSaveReqVO.setPrompt(chatReqVO.getPrompt());
dataRefluxDataSaveReqVO.setSystem(modelCompletionsRespVO.getSystem());
dataRefluxDataSaveReqVO.setResponse(modelCompletionsRespVO.getAnswer().replaceAll("(?s)<think>.*?</think>", "").trim());
dataRefluxDataSaveReqVO.setMaxTokens(chatReqVO.getMaxTokens());
dataRefluxDataSaveReqVO.setTemperature(chatReqVO.getTemperature());
dataRefluxDataService.saveDataRefluxData(dataRefluxDataSaveReqVO);
log.info("数据回流信息保存完成");
}
@NotNull
private StringBuilder getKnowledgeBase(ChatReqVO chatReqVO) {
final String LOG_PREFIX = "[KnowledgeBase]";
@ -582,7 +797,9 @@ public class ConversationServiceImpl implements ConversationService {
log.info("{} 知识库构建完成,内容长度: {}", LOG_PREFIX, knowledgeBase.length());
} catch (Exception e) {
log.error("{} 知识库处理异常: {}", LOG_PREFIX, e.getMessage(), e);
e.printStackTrace();
throw new ServiceException(100, "知识库处理失败,请稍后重试");
}

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@ -199,6 +199,7 @@ public class DatasetServiceImpl implements DatasetService {
List<DatasetFilesSaveReqVO> datasetFiles = createReqVO.getDatasetFiles();
// 插入
DatasetDO dataset = BeanUtils.toBean(createReqVO, DatasetDO.class);
dataset.setStatus(2);
datasetMapper.insert(dataset);
if (CollectionUtils.isNotEmpty(datasetFiles)) {
@ -288,6 +289,7 @@ public class DatasetServiceImpl implements DatasetService {
qdo.setQuestion(question);
qdo.setCreateTime(LocalDateTime.now());
qdo.setQuestionFrom(questionFrom);
qdo.setStatus(2);
datasetQuestionMapper.insert(qdo);
//获取回答数据
JSONObject conversationsAnswerJson=conversationsJsonArray.getJSONObject(j+1);

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@ -34,8 +34,17 @@ public class DatasetTaskSyncService {
List<DatasetDO> datasetList = datasetMapper.selectList(wrapper);
log.info("[syncDatasetAigcTask][开始同步任务,数据集数量:{}]", datasetList.size());
datasetList.forEach(datasetDO -> {
List<DatasetQuestionRespVO> datasetQuestionList = datasetQuestionService.getDatasetQuestionList(datasetDO.getId());
dataSetService.JsonFileWrite(datasetDO,datasetQuestionList);
Integer datasetParentType = datasetDO.getDatasetParentType();
//文本数据集
if(datasetParentType==1){
List<DatasetQuestionRespVO> datasetQuestionList = datasetQuestionService.getDatasetQuestionList(datasetDO.getId());
dataSetService.JsonFileWrite(datasetDO,datasetQuestionList);
}else{
String dataname=datasetDO.getDatasetName();
//获取多模态数据集上传zip文件的路径地址
dataSetService.sendDatasetModal(datasetDO.getId(),dataname);
}
});
}
}

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@ -103,6 +103,42 @@ public class FineTuningTaskHttpService {
// 发起 HTTP 请求
log.debug("正在发起 HTTP POST 请求...");
System.out.println("---------------请求参数"+JSON.toJSONString(req));
String res = HttpUtils.post(requestUrl, headers, JSON.toJSONString(req));
log.info("HTTP 请求完成。响应内容: {}", res);
// 解析响应
log.debug("正在解析响应内容...");
AigcRespVO aigcRespVO = JSON.parseObject(res, AigcRespVO.class);
AigcFineTuningCreateRespVO aigcFineTuningCreateRespVO = JSON.parseObject(res, AigcFineTuningCreateRespVO.class);
log.info("响应解析完成。微调任务创建结果: {}", JSON.toJSONString(aigcFineTuningCreateRespVO));
// 返回结果
return aigcFineTuningCreateRespVO;
} catch (Exception e) {
log.error("创建微调任务时发生异常。请求URL: {}", requestUrl, e);
handleHttpException(e);
}
return null;
}
public AigcFineTuningCreateRespVO finetuningCreateModal (Map<String, String> headers, String url, AigcFineTuningCreateReqVO req) {
// login(headers);
// TODO: 在上个方法中已经将数据集的文件id赋予调试时需要写死再放开
// String fileId = "6237ed4d-a046-479c-80d6-8579a0283994";
// req.setFileId(fileId);
String requestUrl = url + llmBackendProperties.getFinetuningCreateModal();
try {
// 记录请求信息
log.info("开始创建微调任务请求URL: {}", requestUrl);
log.info("请求头: {}", headers);
log.info("请求体: {}", JSON.toJSONString(req));
// 发起 HTTP 请求
log.debug("正在发起 HTTP POST 请求...");
log.debug("请求参数为:---------------------------------"+JSON.toJSONString(req));
System.out.println("请求参数为:---------------------------------"+JSON.toJSONString(req));
String res = HttpUtils.post(requestUrl, headers, JSON.toJSONString(req));
log.info("HTTP 请求完成。响应内容: {}", res);

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@ -777,14 +777,14 @@ public class RagHttpService {
// 遍历 JSON 数组
for (int i = 0; i < jsonArray.size(); i++) {
JSONArray pairArray = jsonArray.getJSONArray(i);
JSONObject jsonObject = jsonArray.getJSONObject(i);
// 解析文档信息
JSONObject documentJson = pairArray.getJSONObject(0);
DocumentInfoVO document = JSON.parseObject(documentJson.toJSONString(), DocumentInfoVO.class);
// JSONObject documentJson = jsonArray.getJSONObject(0);
DocumentInfoVO document = JSON.parseObject(jsonObject.toJSONString(), DocumentInfoVO.class);
// 解析命中率
Double rate = pairArray.getDoubleValue(1);
Double rate = jsonObject.getDoubleValue("score");
if (rate >= score) {
QueryResultPairVO pair = new QueryResultPairVO();
@ -805,6 +805,61 @@ public class RagHttpService {
return results;
}
// private static List<QueryResultPairVO> parseHitRateTestResults (String json, Double score) {
// boolean array = json.trim().startsWith("[");
// // 先判断 JSON 是否是一个数组
//
// if (!array) {
// // 判断是否存在 detail 字段
// JSONObject jsonObject = JSON.parseObject(json);
// if (jsonObject.containsKey("detail")) {
// String detail = jsonObject.getString("detail");
//
// if (detail.contains("No documents found for the given query")) {
// throw exception(new ErrorCode(100_100_1, "未找到符合条件的文档,请检查查询条件!"));
// }
// return new ArrayList<>();
// }
// }
//
//
// // JSON 转换为 List<QueryResultPair>
// // 解析 JSON 数组
// JSONArray jsonArray = JSON.parseArray(json);
//
// // 创建结果列表
// List<QueryResultPairVO> results = new ArrayList<>();
//
// // 遍历 JSON 数组
// for (int i = 0; i < jsonArray.size(); i++) {
// JSONArray pairArray = jsonArray.getJSONArray(i);
//
// // 解析文档信息
// JSONObject documentJson = pairArray.getJSONObject(0);
// DocumentInfoVO document = JSON.parseObject(documentJson.toJSONString(), DocumentInfoVO.class);
//
// // 解析命中率
// Double rate = pairArray.getDoubleValue(1);
//
// if (rate >= score) {
// QueryResultPairVO pair = new QueryResultPairVO();
// pair.setDocument(document);
// pair.setHitRate(rate);
// results.add(pair);
// }
//
// }
//
// // // 访问数据
// // for (QueryResultPairVO pair : results) {
// // System.out.println("Page Content: " + pair.getDocument().getPageContent());
// // System.out.println("Hit Rate: " + pair.getHitRate());
// // System.out.println("File ID: " + pair.getDocument().getMetadata().getFileId());
// // System.out.println("----------------------");
// // }
//
// return results;
// }
public static void main (String[] args) {
List<String> ids = new ArrayList<>();

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@ -0,0 +1,35 @@
package cn.iocoder.yudao.module.llm.service.http.vo;
import com.alibaba.fastjson.JSONArray;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import lombok.ToString;
import java.util.List;
@Data
@NoArgsConstructor
@AllArgsConstructor
@ToString
public class ModelCompletionsModalReqVO {
private String model;
private List<ModelCompletionsMessageModal> messages;
private Integer max_tokens;
private Double temperature;
private Double top_p;
private Boolean stream;
@Data
@NoArgsConstructor
@AllArgsConstructor
public static class ModelCompletionsMessageModal {
private String role;
private JSONArray content;
}
}

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@ -0,0 +1,11 @@
package cn.iocoder.yudao.module.llm.service.http.vo;
import lombok.Data;
@Data
public class ModelCompletionsModalRespVO {
private String system;
private String question;
private String answer;
}

View File

@ -1,5 +1,6 @@
package cn.iocoder.yudao.module.llm.service.http.vo;
import com.alibaba.fastjson.JSONArray;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;

View File

@ -54,13 +54,12 @@ spring:
url: jdbc:mysql://221.238.217.216:4156/ruoyi-vue-pro?useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true&rewriteBatchedStatements=true&nullCatalogMeansCurrent=true
username: root
password: 123456
# Redis 配置。Redisson 默认的配置足够使用,一般不需要进行调优
redis:
host: 127.0.0.1 # 地址
port: 6379 # 端口
database: 0 # 数据库索引
# password: dev # 密码,建议生产环境开启
password: 123456 # 密码,建议生产环境开启
--- #################### 定时任务相关配置 ####################
@ -247,6 +246,7 @@ justauth:
llm:
backend:
#################### 8123: RAG服务、训练集和标注相关API。 ###################
dataset_more_modal_api: http://221.238.217.216:4143/api/VL_files
### RAG服务
request_address: http://221.238.217.216:4143
#RAG健康检查 GET
@ -307,6 +307,7 @@ llm:
# 微调文件上传
aigc_file_upload: /api/files
finetuning_create: /llm/finetuning
finetuning_create_modal: /llm/finetuning-mm
# 日志获取
finetuning_log: /llm/get_log
# 开始部署