1、新增导入指标接口

This commit is contained in:
2026-02-27 14:07:50 +08:00
parent 0962c742a4
commit 8638bb5358
4 changed files with 95 additions and 59 deletions

View File

@@ -1,10 +1,11 @@
package com.sdm.project.bo;
import com.alibaba.fastjson2.JSONObject;
import com.alibaba.fastjson2.JSONArray;
import com.sdm.common.common.SdmResponse;
import com.sdm.common.entity.ExportExcelFormat;
import com.sdm.common.entity.req.project.SimulationPerformance;
import com.sdm.common.utils.SystemOperate;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections4.CollectionUtils;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import org.springframework.web.multipart.MultipartFile;
@@ -117,59 +118,50 @@ public class ExportOperate {
String columnFileName = TEMP_EXPORT_PATH + System.currentTimeMillis() + "column.json";
if(!saveContentsToFile(columns,columnFileName)) {
response = SdmResponse.failed("保存指标字段信息失败");
}
else {
}else {
// 脚本解析导入的指标文件
String shellPath = scriptPath + File.separator + "inputExcel.py";
String poolJsonFileName = TEMP_EXPORT_PATH + System.currentTimeMillis() + "performance.json";
String pythonCmd = "python " + shellPath + " '" + poolJsonFileName + " '" + " '" + performanceFileName + "' " + " '" + columnFileName + " '" ;
try
{
String performanceJsonFileName = TEMP_EXPORT_PATH + System.currentTimeMillis() + "performance.json";
String pythonCmd = "python " + shellPath + " " + performanceJsonFileName + " " + performanceFileName + " " + columnFileName + " " + "1";
InputStream inputStream = null;
try {
log.info("shell begin time:"+System.currentTimeMillis());
String resultString = SystemOperate.exeShellCmd(pythonCmd);
log.info("shell end time:"+System.currentTimeMillis());
if(resultString.contains("error")) {
response = SdmResponse.failed("解析指标文件脚本执行错误");
}
else {
InputStream is = new FileInputStream(poolJsonFileName);
byte[] jsonContents = is.readAllBytes();
String poolJsonString = new String(jsonContents, "utf-8");
if (poolJsonString != null && poolJsonString.length() > 0) {
JSONObject poolJsonObj = JSONObject.parseObject(poolJsonString);
response.setData(poolJsonObj);
} else {
inputStream = new FileInputStream(performanceJsonFileName);
byte[] jsonContents = inputStream.readAllBytes();
String performanceJsonString = new String(jsonContents, "utf-8");
List<SimulationPerformance> performanceJsonObjectList = JSONArray.parseArray(performanceJsonString, SimulationPerformance.class);
log.info("performanceJsonObjectList为{}",performanceJsonObjectList);
if (CollectionUtils.isNotEmpty(performanceJsonObjectList)) {
response.setData(performanceJsonObjectList);
}
}
}
catch (Exception e) {
} catch (Exception e) {
e.printStackTrace();
}
finally
{
// if(poolFileName != null && poolFileName.length() > 0)
// {
// File pFile = new File(poolFileName);
// if(pFile.exists()) {
// pFile.delete();
// }
// }
// File dictFile = new File(dictFileName);
// if(dictFile.exists())
// {
// dictFile.delete();
// }
// File poolJsonFile = new File(poolJsonFileName);
// if(poolJsonFile.exists())
// {
// poolJsonFile.delete();
// }
//
// File columnFile = new File(columnFileName);
// if(columnFile.exists())
// {
// columnFile.delete();
// }
} finally {
if (inputStream != null) {
try {
inputStream.close();
} catch (IOException e) {
throw new RuntimeException(e);
}
}
File pJsonFile = new File(performanceJsonFileName);
if(pJsonFile.exists()) {
pJsonFile.delete();
}
File pFile = new File(performanceFileName);
if(pFile.exists()) {
pFile.delete();
}
File cFile = new File(columnFileName);
if(cFile.exists()) {
cFile.delete();
}
}
}
return response;

View File

@@ -310,8 +310,8 @@ public class SimulationTaskController implements ISimulationTaskFeignClient {
*/
@PostMapping(value = "/importSimulationPerformance")
@ResponseBody
SdmResponse importSimulationPerformance(@RequestParam("file") MultipartFile file, @RequestParam("columns")String columns) {
return taskService.importSimulationPerformance(file,columns);
SdmResponse importSimulationPerformance(@RequestParam("file") MultipartFile file, @RequestParam("columns")String columns, @RequestParam("taskId") String taskId, @RequestParam("taskName") String taskName) {
return taskService.importSimulationPerformance(file,columns,taskId,taskName);
}
}

View File

@@ -106,6 +106,6 @@ public interface ITaskService {
SdmResponse batchOperation(SpdmBatchTaskOpr batchTaskOpr);
SdmResponse importSimulationPerformance(MultipartFile file, String columns);
SdmResponse importSimulationPerformance(MultipartFile file, String columns,String taskId,String taskName);
}

View File

@@ -83,6 +83,7 @@ import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.text.SimpleDateFormat;
import java.time.LocalDateTime;
import java.util.*;
import java.util.function.Consumer;
import java.util.function.Function;
@@ -150,6 +151,9 @@ public class TaskServiceImpl implements ITaskService {
@Autowired
private LyricVProjectResourcePlanDMService lyricVProjectResourcePlanDMService;
@Autowired
private DataClientFeignClientImpl dataFeignClient;
// 通过标识判断是否走查询现场视图逻辑0不查询1查询
@Value("${lyricFlag:1}")
private int lyricFlag;
@@ -4184,18 +4188,58 @@ public class TaskServiceImpl implements ITaskService {
@Override
public SdmResponse importSimulationPerformance(MultipartFile file, String columns) {
SdmResponse response = exportOperate.parsePerformance(file,columns);
if(response.getCode() != ResultCode.SUCCESS.getCode()) {
return response;
}
else {
JSONObject poolTreeObj = (JSONObject) response.getData();
response.setData(poolTreeObj);
}
log.info("import endTime:"+System.currentTimeMillis());
@Transactional(rollbackFor = Exception.class)
public SdmResponse importSimulationPerformance(MultipartFile file, String columns,String taskId,String taskName) {
// 通过脚本解析导入的指标excel文件
SdmResponse response = exportOperate.parsePerformance(file,columns);
if(response.getCode() != ResultCode.SUCCESS.getCode()) {
return response;
}
List<SimulationPerformance> performanceList = (List<SimulationPerformance>) response.getData();
if (CollectionUtils.isEmpty(performanceList)) {
return response;
}
// 创建指标
LocalDateTime createTime = LocalDateTime.now();
BatchCreateDirItem batchCreateDirItem = new BatchCreateDirItem();
DirNodeInfo taskDirNodeInfo = new DirNodeInfo();
taskDirNodeInfo.setUuId(taskId);
taskDirNodeInfo.setUuIdOwnType(NodeTypeEnum.TASK.getValue());
taskDirNodeInfo.setDirName(taskName);
batchCreateDirItem.setParentDirNodeInfo(taskDirNodeInfo);
List<DirNodeInfo> childDirNodeInfos = new ArrayList<>();
for (SimulationPerformance performance : performanceList) {
performance.setUuid(RandomUtil.generateString(32));
performance.setNodeId(taskId);
performance.setTaskId(taskId);
performance.setCreateTime(createTime);
if (StringUtils.isBlank(performance.getNodeName())) {
performance.setNodeName(performance.getPerformanceName());
}
// 设置指标文件夹相关信息
DirNodeInfo performanceDirNodeInfo = new DirNodeInfo();
performanceDirNodeInfo.setUuId(performance.getUuid());
performanceDirNodeInfo.setUuIdOwnType(NodeTypeEnum.PERFORMANCE.getValue());
performanceDirNodeInfo.setParentUuId(taskId);
performanceDirNodeInfo.setDirName(StringUtils.isNotBlank(performance.getNodeName()) ? performance.getNodeName() : performance.getPerformanceName());
childDirNodeInfos.add(performanceDirNodeInfo);
}
simulationPerformanceService.saveBatch(performanceList);
// 批量创建指标文件夹
batchCreateDirItem.setChildDirNodeInfos(childDirNodeInfos);
BatchCreateDirReq batchCreateDirReq = new BatchCreateDirReq();
List<BatchCreateDirItem> createDirItemList = new ArrayList<>();
createDirItemList.add(batchCreateDirItem);
batchCreateDirReq.setItems(createDirItemList);
batchCreateDirReq.setDirType(DirTypeEnum.PROJECT_NODE_DIR.getValue());
log.info("任务执行导入指标创建文件夹参数: {}", batchCreateDirReq);
SdmResponse dirCreateResp = dataFeignClient.batchCreateDir(batchCreateDirReq);
log.info("任务执行导入指标创建文件夹响应: {}", dirCreateResp);
if (!dirCreateResp.isSuccess()) {
TransactionAspectSupport.currentTransactionStatus().setRollbackOnly();
return SdmResponse.failed("导入指标失败,原因:{}",dirCreateResp.getMessage());
}
return SdmResponse.success();
}