refactor(llm): 移除日志打印语句的注释
移除了多处日志打印语句的注释,包括 login、account、finetuningDetail、finetuningDelete、finetuningFileList、autoEvaluation、modelDeploy、modelUndeploy、createModel 和 uploadFile 方法中的日志语句。这些日志语句现在将正常输出信息。
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@ -116,7 +116,7 @@ public class TrainHttpService {
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String login = llmBackendProperties.getLogin();
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AigcLoginReqVO req = new AigcLoginReqVO(llmBackendProperties.getLoginUsername(), llmBackendProperties.getLoginPassword());
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String res = HttpUtils.post(login, headers, JSON.toJSONString(req));
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// log.info("登录接口返回:{}", res);
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log.info("登录接口返回:{}", res);
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AigcRespVO aigcRespVO = JSON.parseObject(res, AigcRespVO.class);
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if (aigcRespVO.isSuccess() && aigcRespVO.getData() != null) {
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AigcLoginRespVO aigcLoginRespVO = JSON.parseObject(aigcRespVO.getData().toString(), AigcLoginRespVO.class);
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@ -125,7 +125,7 @@ public class TrainHttpService {
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if (aigcAccountRespVO != null && CollUtil.isNotEmpty(aigcAccountRespVO.getTenants())) {
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aigcLoginRespVO.setTenantId(aigcAccountRespVO.getTenants().get(0).getId());
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headers.put("X-Tenant-Id", aigcLoginRespVO.getTenantId());
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// log.info(" login:{}", aigcAccountRespVO);
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log.info(" login:{}", aigcAccountRespVO);
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return aigcLoginRespVO;
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}
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}
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@ -135,11 +135,11 @@ public class TrainHttpService {
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public AigcAccountRespVO account (Map<String, String> headers) {
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String account = llmBackendProperties.getAccount();
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String res = HttpUtils.get(account, headers);
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// log.info(" account:{}", res);
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log.info(" account:{}", res);
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AigcRespVO aigcRespVO = JSON.parseObject(res, AigcRespVO.class);
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if (aigcRespVO.isSuccess() && aigcRespVO.getData() != null) {
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AigcAccountRespVO aigcAccountRespVO = JSON.parseObject(aigcRespVO.getData().toString(), AigcAccountRespVO.class);
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// log.info(" account:{}", aigcAccountRespVO);
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log.info(" account:{}", aigcAccountRespVO);
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return aigcAccountRespVO;
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}
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return null;
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@ -149,16 +149,16 @@ public class TrainHttpService {
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login(headers);
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String finetuningDetail = llmBackendProperties.getFinetuningDetail();
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String res = HttpUtils.get(finetuningDetail + "/" + jobId, headers);
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// log.info(" finetuningDetail:{}", res);
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log.info(" finetuningDetail:{}", res);
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try {
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AigcRespVO aigcRespVO = JSON.parseObject(res, AigcRespVO.class);
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if (aigcRespVO.isSuccess() && aigcRespVO.getData() != null) {
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AigcFineTuningDetailRespVO aigcFineTuningDetailRespVO = JSON.parseObject(aigcRespVO.getData().toString(), AigcFineTuningDetailRespVO.class);
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// log.info(" finetuningDetail:{}", aigcFineTuningDetailRespVO);
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log.info(" finetuningDetail:{}", aigcFineTuningDetailRespVO);
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return aigcFineTuningDetailRespVO;
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}
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} catch (Exception e) {
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// log.error(" finetuningDetail:{}", e.getMessage());
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log.error(" finetuningDetail:{}", e.getMessage());
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}
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return null;
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@ -168,16 +168,16 @@ public class TrainHttpService {
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login(headers);
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String finetuningDetail = llmBackendProperties.getFinetuningDetail();
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String res = HttpUtils.del(finetuningDetail + "/" + jobId, headers);
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// log.info(" finetuningDelete:{}", res);
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log.info(" finetuningDelete:{}", res);
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AigcRespVO aigcRespVO = JSON.parseObject(res, AigcRespVO.class);
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// log.info(" finetuningDelete:{}", aigcRespVO);
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log.info(" finetuningDelete:{}", aigcRespVO);
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return aigcRespVO;
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}
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public String finetuningFileList (Map<String, String> headers) {
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String finetuningFileList = llmBackendProperties.getFinetuningFileList();
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String res = HttpUtils.get(finetuningFileList, headers);
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// log.info(" finetuningFileList:{}", res);
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log.info(" finetuningFileList:{}", res);
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return res;
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}
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@ -194,10 +194,10 @@ public class TrainHttpService {
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List<String> dimension = Stream.of("事实性错误", "情感倾向性", "语义连贯性").collect(Collectors.toList());
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jsonObject.put("dimension", dimension);
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String body = JSONObject.toJSONString(jsonObject);
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// log.info(" autoEvaluation body :{}", body);
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// log.info(" autoEvaluation url :{}", url + autoEvaluation);
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log.info(" autoEvaluation body :{}", body);
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log.info(" autoEvaluation url :{}", url + autoEvaluation);
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String res = HttpUtils.post(url + autoEvaluation, map, body);
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// log.info(" autoEvaluation:{}", res);
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log.info(" autoEvaluation:{}", res);
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JSONObject resJson = JSONObject.parseObject(res);
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JSONObject response = resJson.getJSONObject("response");
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String content = response.getString("content");
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@ -216,36 +216,36 @@ public class TrainHttpService {
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public ModelDeployRespVO modelDeploy (Map<String, String> headers, String url, AigcModelDeploySaveReq req) {
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try {
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// log.info("开始部署模型,请求URL: {}", url + llmBackendProperties.getModelDeploy());
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log.info("开始部署模型,请求URL: {}", url + llmBackendProperties.getModelDeploy());
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// 记录请求参数
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// log.info("请求参数: {}", JSON.toJSONString(req));
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log.info("请求参数: {}", JSON.toJSONString(req));
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// 发起 HTTP POST 请求
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String res = HttpUtils.post(url + llmBackendProperties.getModelDeploy(), headers, JSON.toJSONString(req));
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// log.info("HTTP 请求完成。响应内容: {}", res);
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log.info("HTTP 请求完成。响应内容: {}", res);
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// 解析响应内容
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// log.debug("正在解析响应内容...");
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log.debug("正在解析响应内容...");
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JSONObject parseObject = JSON.parseObject(res);
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ModelDeployRespVO modelDeployRespVO = new ModelDeployRespVO();
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// 检查响应是否包含错误
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if (parseObject.containsKey("error")) {
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// log.error("模型部署失败。响应中包含错误信息: {}", parseObject.getString("error"));
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log.error("模型部署失败。响应中包含错误信息: {}", parseObject.getString("error"));
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modelDeployRespVO.setMessage("error");
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return modelDeployRespVO;
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}
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// 解析响应为 ModelDeployRespVO 对象
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modelDeployRespVO = JSON.parseObject(res.getBytes(), ModelDeployRespVO.class);
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// log.info("模型部署成功。部署结果: {}", JSON.toJSONString(modelDeployRespVO));
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log.info("模型部署成功。部署结果: {}", JSON.toJSONString(modelDeployRespVO));
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// 返回结果
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return modelDeployRespVO;
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} catch (Exception e) {
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// log.error("部署模型时发生异常。请求URL: {}", url + llmBackendProperties.getModelDeploy(), e);
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log.error("部署模型时发生异常。请求URL: {}", url + llmBackendProperties.getModelDeploy(), e);
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ModelDeployRespVO errorResp = new ModelDeployRespVO();
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errorResp.setMessage("error");
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return errorResp;
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@ -254,28 +254,28 @@ public class TrainHttpService {
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public AigcModelDeployVO modelUndeploy (Map<String, String> headers, String url, Long deployId) {
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try {
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// log.info("开始卸载模型部署,部署ID: {}", deployId);
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log.info("开始卸载模型部署,部署ID: {}", deployId);
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// 构建请求 URL
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String modelDeploy = llmBackendProperties.getModelUndeploy();
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String requestUrl = url + modelDeploy + deployId;
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// log.info("构建请求 URL: {}", requestUrl);
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log.info("构建请求 URL: {}", requestUrl);
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// 发起 HTTP POST 请求
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// log.info("正在发起 HTTP POST 请求...");
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log.info("正在发起 HTTP POST 请求...");
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String res = HttpUtils.post(requestUrl, headers, "");
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// log.info("HTTP 请求完成。响应内容: {}", res);
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log.info("HTTP 请求完成。响应内容: {}", res);
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// 解析响应内容
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// log.info("正在解析响应内容...");
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log.info("正在解析响应内容...");
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AigcModelDeployVO modelDeployRespVO = JSON.parseObject(res, AigcModelDeployVO.class);
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// log.info("响应解析完成。模型卸载结果: {}", JSON.toJSONString(modelDeployRespVO));
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log.info("响应解析完成。模型卸载结果: {}", JSON.toJSONString(modelDeployRespVO));
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// 返回结果
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return modelDeployRespVO;
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} catch (Exception e) {
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// log.error("卸载模型部署时发生异常。部署ID: {}", deployId, e);
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log.error("卸载模型部署时发生异常。部署ID: {}", deployId, e);
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throw new RuntimeException("模型卸载失败", e);
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}
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@ -288,14 +288,14 @@ public class TrainHttpService {
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// login(headers);
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String modelDeploy = llmBackendProperties.getModelCreate();
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String res = HttpUtils.post(modelDeploy, headers, JSON.toJSONString(req));
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// log.info(" modelDeploy:{}", res);
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log.info(" modelDeploy:{}", res);
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AigcRespVO aigcRespVO = JSON.parseObject(res, AigcRespVO.class);
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if (aigcRespVO.isSuccess() && aigcRespVO.getData() != null) {
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AigcModelCreateRespVO aigcModelCreateRespVO = JSON.parseObject(aigcRespVO.getData().toString(), AigcModelCreateRespVO.class);
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// log.info(" modelDeploy:{}", aigcModelCreateRespVO);
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log.info(" modelDeploy:{}", aigcModelCreateRespVO);
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return aigcModelCreateRespVO;
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}
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// log.info(" modelDeploy:{}", aigcRespVO);
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log.info(" modelDeploy:{}", aigcRespVO);
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return null;
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}
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@ -320,11 +320,11 @@ public class TrainHttpService {
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.field("file", inputStream, fileName)
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.field("purpose", "fine-tune")
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.asString();
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// log.info("Response Body: " + uploadResponse.getBody());
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log.info("Response Body: " + uploadResponse.getBody());
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AigcRespVO aigcRespVO = JSON.parseObject(uploadResponse.getBody(), AigcRespVO.class);
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if (aigcRespVO.isSuccess()) {
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AigcDatasetFileRespV0 aigcDatasetFileRespV0 = JSON.parseObject(aigcRespVO.getData().toString(), AigcDatasetFileRespV0.class);
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// log.info("模型工厂上传文件 aigcDatasetFileRespV0:{}", aigcDatasetFileRespV0);
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log.info("模型工厂上传文件 aigcDatasetFileRespV0:{}", aigcDatasetFileRespV0);
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return aigcDatasetFileRespV0;
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}
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return null;
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@ -339,9 +339,9 @@ public class TrainHttpService {
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String finetuningCancel = llmBackendProperties.getFinetuningCancel();
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String url = String.format(finetuningCancel, jobId);
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String res = HttpUtils.del(url, headers);
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// log.info(" finetuningDelete:{}", res);
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log.info(" finetuningDelete:{}", res);
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AigcRespVO aigcRespVO = JSON.parseObject(res, AigcRespVO.class);
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// log.info(" finetuningDelete:{}", aigcRespVO);
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log.info(" finetuningDelete:{}", aigcRespVO);
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return aigcRespVO;
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}
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