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。
This commit is contained in:
Liuyang 2025-03-03 13:43:38 +08:00
parent bf65145394
commit f73b197422

View File

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