From 49d11cce34d6fde2b90513f916b88a3405e60475 Mon Sep 17 00:00:00 2001 From: Liuyang <2746366019@qq.com> Date: Wed, 12 Mar 2025 09:44:58 +0800 Subject: [PATCH] =?UTF-8?q?refactor(llm):=20=E5=B0=86=20debug=20=E6=97=A5?= =?UTF-8?q?=E5=BF=97=E7=BA=A7=E5=88=AB=E6=94=B9=E4=B8=BA=20info=20?= =?UTF-8?q?=E6=97=A5=E5=BF=97=E7=BA=A7=E5=88=AB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 将多个 debug 日志级别修改为 info 日志级别，以减少日志输出 -优化了日志记录策略，提高了系统性能和可读性 --- .../basemodel/BaseModelTaskService.java | 24 +++++++++---------- 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/yudao-module-llm/yudao-module-llm-biz/src/main/java/cn/iocoder/yudao/module/llm/service/basemodel/BaseModelTaskService.java b/yudao-module-llm/yudao-module-llm-biz/src/main/java/cn/iocoder/yudao/module/llm/service/basemodel/BaseModelTaskService.java index a9eec7af4..182a7dcc5 100644 --- a/yudao-module-llm/yudao-module-llm-biz/src/main/java/cn/iocoder/yudao/module/llm/service/basemodel/BaseModelTaskService.java +++ b/yudao-module-llm/yudao-module-llm-biz/src/main/java/cn/iocoder/yudao/module/llm/service/basemodel/BaseModelTaskService.java @@ -58,7 +58,7 @@ public class BaseModelTaskService { log.info("开始同步基础模型信息..."); // 获取所有基础模型列表 - log.debug("正在查询所有基础模型列表..."); + log.info("正在查询所有基础模型列表..."); List baseModelList = baseModelService.getBaseModelList(); log.info("成功查询到 {} 个基础模型。", baseModelList.size()); @@ -66,25 +66,25 @@ public class BaseModelTaskService { for (BaseModelDO baseModelDO : baseModelList) { Long modelId = baseModelDO.getModelId(); Long gpuId = baseModelDO.getGpuId(); - log.debug("正在处理基础模型，模型ID: {}, GPU ID: {}", modelId, gpuId); + log.info("正在处理基础模型，模型ID: {}, GPU ID: {}", modelId, gpuId); // 查询 GPU 服务器信息 - log.debug("正在查询 GPU 服务器信息，GPU ID: {}", gpuId); + log.info("正在查询 GPU 服务器信息，GPU ID: {}", gpuId); ServerNameDO serverName = serverNameMapper.selectById(gpuId); if (serverName == null) { log.error("未找到 GPU 服务器信息，GPU ID: {}", gpuId); continue; } - log.debug("GPU 服务器信息查询成功。主机地址: {}", serverName.getHost()); + log.info("GPU 服务器信息查询成功。主机地址: {}", serverName.getHost()); // 构建查询参数并查询模型部署信息 String query = "?filter={\"id\":" + modelId + "}"; - log.debug("正在查询模型部署信息，查询参数: {}", query); + log.info("正在查询模型部署信息，查询参数: {}", query); String res = fineTuningTaskHttpService.modelTableQuery(new HashMap<>(), serverName.getHost(), "model_deploy", query); - log.debug("模型部署信息查询成功。响应内容: {}", res); + log.info("模型部署信息查询成功。响应内容: {}", res); // 解析响应内容 - log.debug("正在解析模型部署信息..."); + log.info("正在解析模型部署信息..."); ObjectMapper mapper = new ObjectMapper(); mapper.registerModule(new JavaTimeModule()); SimpleModule module = new SimpleModule(); @@ -92,12 +92,12 @@ public class BaseModelTaskService { mapper.registerModule(module); List aigcModelDeploys = mapper.readValue(res, new TypeReference>() { }); - log.debug("模型部署信息解析完成。记录数量: {}", aigcModelDeploys.size()); + log.info("模型部署信息解析完成。记录数量: {}", aigcModelDeploys.size()); if (!aigcModelDeploys.isEmpty()) { AigcModelDeployVO latestRecord = aigcModelDeploys.get(0); String status = latestRecord.getStatus(); - log.debug("最新模型部署记录状态: {}", status); + log.info("最新模型部署记录状态: {}", status); // 如果模型状态为 "stop"，则重新部署 if ("stop".equals(status)) { @@ -106,12 +106,12 @@ public class BaseModelTaskService { // 构建模型部署请求 AigcModelDeploySaveReq aigcModelDeploySaveReq = new AigcModelDeploySaveReq( baseModelDO.getAigcModelName(), "gpu"); - log.debug("模型部署请求参数: {}", JSON.toJSONString(aigcModelDeploySaveReq)); + log.info("模型部署请求参数: {}", JSON.toJSONString(aigcModelDeploySaveReq)); // 发起模型部署请求 ModelDeployRespVO modelDeployRespVO = trainHttpService.modelDeploy( new HashMap<>(), serverName.getHost(), aigcModelDeploySaveReq); - log.debug("模型部署请求完成。响应内容: {}", JSON.toJSONString(modelDeployRespVO)); + log.info("模型部署请求完成。响应内容: {}", JSON.toJSONString(modelDeployRespVO)); // 更新基础模型信息 if (!"error".equals(modelDeployRespVO.getMessage())) { @@ -247,7 +247,7 @@ public class BaseModelTaskService { localModel.setApiUrl(string1); localModel.setModelId((long) pedestalModelVo.getId()); baseModelService.updetatebyId(localModel); - log.debug("模型 {} 状态为 running，无需更新", pedestalModelVo.getDeploymentName()); + log.info("模型 {} 状态为 running，无需更新", pedestalModelVo.getDeploymentName()); } } // else {