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package com.iailab.module.model.mdk.schedule.impl; |
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import com.alibaba.fastjson.JSONArray; |
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import com.alibaba.fastjson.JSONObject; |
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import com.iail.IAILMDK; |
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import com.iail.model.IAILModel; |
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import com.iailab.module.model.common.enums.CommonConstant; |
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import com.iailab.module.model.mcs.sche.entity.StScheduleModelEntity; |
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import com.iailab.module.model.mcs.sche.entity.StScheduleModelSettingEntity; |
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import com.iailab.module.model.mcs.sche.entity.StScheduleSchemeEntity; |
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import com.iailab.module.model.mcs.sche.service.StScheduleModelService; |
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import com.iailab.module.model.mcs.sche.service.StScheduleModelSettingService; |
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import com.iailab.module.model.mcs.sche.service.StScheduleSchemeService; |
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import com.iailab.module.model.mdk.common.enums.TypeA; |
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import com.iailab.module.model.mdk.common.exceptions.ModelInvokeException; |
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import com.iailab.module.model.mdk.sample.SampleConstructor; |
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import com.iailab.module.model.mdk.sample.dto.SampleData; |
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import com.iailab.module.model.mdk.schedule.ScheduleModelHandler; |
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import com.iailab.module.model.mdk.vo.ScheduleResultVO; |
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import com.iailab.module.model.mpk.common.utils.DllUtils; |
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import lombok.extern.slf4j.Slf4j; |
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import org.springframework.beans.factory.annotation.Autowired; |
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import org.springframework.stereotype.Component; |
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import org.springframework.util.CollectionUtils; |
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import java.text.MessageFormat; |
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import java.util.*; |
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/** |
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* @author PanZhibao |
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* @Description |
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* @createTime 2024年09月05日 |
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*/ |
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@Slf4j |
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@Component |
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public class ScheduleModelHandlerImpl implements ScheduleModelHandler { |
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@Autowired |
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private StScheduleSchemeService stScheduleSchemeService; |
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@Autowired |
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private StScheduleModelService stScheduleModelService; |
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@Autowired |
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private StScheduleModelSettingService stScheduleModelSettingService; |
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@Autowired |
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private SampleConstructor sampleConstructor; |
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@Override |
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public ScheduleResultVO doSchedule(String schemeCode, Date scheduleTime) throws ModelInvokeException { |
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ScheduleResultVO scheduleResult = new ScheduleResultVO(); |
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StScheduleSchemeEntity scheduleScheme = stScheduleSchemeService.getByCode(schemeCode); |
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StScheduleModelEntity scheduleModel = stScheduleModelService.get(scheduleScheme.getModelId()); |
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if (scheduleModel == null) { |
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throw new ModelInvokeException(MessageFormat.format("{0},modelId={1}", |
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ModelInvokeException.errorGetModelEntity, scheduleModel.getId())); |
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} |
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String modelId = scheduleModel.getId(); |
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try { |
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IAILModel newModelBean = new IAILModel(); |
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//1.根据模型id构造模型输入样本 |
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List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Schedule.name(), modelId, scheduleTime); |
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if (CollectionUtils.isEmpty(sampleDataList)) { |
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log.info("调度模型构造样本失败,schemeCode=" + schemeCode); |
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return null; |
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} |
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//2.拼接newModelBean的参数结构:a.类名、方法名 b.参数类型 |
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String className = scheduleModel.getClassName() .trim(); |
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String methodName = scheduleModel.getMethodName().trim(); |
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newModelBean.setClassName(className); |
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newModelBean.setMethodName(methodName); |
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Class<?>[] paramsArray = new Class[3]; |
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paramsArray[0] = double[][].class; |
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paramsArray[1] = double[][].class; |
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paramsArray[2] = HashMap.class; |
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newModelBean.setParamsArray(paramsArray); |
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//3.拼接settings参数 |
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HashMap<String, Object> settings_predict = getPredictSettingsByModelId(modelId); |
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//4.构造param2Values参数结构 |
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int count = sampleDataList.size(); |
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Object[] param2Values = new Object[count + 1]; |
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for (int i = 0; i < count; i++) { |
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param2Values[i] = sampleDataList.get(i).getMatrix(); |
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} |
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param2Values[count] = settings_predict; |
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//打印参数 |
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log.info("##############调度模型:scheduleScheme=" + scheduleScheme.getCode() + " ##########################"); |
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JSONObject jsonObjNewModelBean = new JSONObject(); |
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jsonObjNewModelBean.put("newModelBean", newModelBean); |
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log.info(String.valueOf(jsonObjNewModelBean)); |
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JSONObject jsonObjParam2Values = new JSONObject(); |
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jsonObjParam2Values.put("param2Values", param2Values); |
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log.info(String.valueOf(jsonObjParam2Values)); |
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//运行模型 |
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HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, scheduleScheme.getMpkprojectid()); |
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if (!modelResult.containsKey(CommonConstant.MDK_STATUS_CODE) || !modelResult.containsKey(CommonConstant.MDK_RESULT) || |
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!modelResult.get(CommonConstant.MDK_STATUS_CODE).toString().equals(CommonConstant.MDK_STATUS_100)) { |
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throw new RuntimeException("模型结果异常:" + modelResult); |
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} |
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modelResult = (HashMap<String, Object>) modelResult.get(CommonConstant.MDK_RESULT); |
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//打印结果 |
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JSONObject jsonObjResult = new JSONObject(); |
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jsonObjResult.put("result", modelResult); |
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log.info(String.valueOf(jsonObjResult)); |
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//5.返回调度结果 |
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scheduleResult.setResult(modelResult); |
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scheduleResult.setModelId(modelId); |
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scheduleResult.setSchemeId(scheduleScheme.getId()); |
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scheduleResult.setScheduleTime(scheduleTime); |
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} catch (Exception ex) { |
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log.error("IAILMDK.run()执行失败"); |
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log.error(ex.getMessage()); |
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log.error("调用发生异常,异常信息为:{}", ex); |
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ex.printStackTrace(); |
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} |
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return scheduleResult; |
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} |
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/** |
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* 根据模型id获取参数map |
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* @param modelId |
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* @return |
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*/ |
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private HashMap<String, Object> getPredictSettingsByModelId(String modelId) { |
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List<StScheduleModelSettingEntity> list = stScheduleModelSettingService.getByModelId(modelId); |
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if (CollectionUtils.isEmpty(list)) { |
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return null; |
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} |
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HashMap<String, Object> result = new HashMap<>(); |
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for (StScheduleModelSettingEntity entry : list) { |
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String valueType = entry.getValuetype().trim(); |
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String valueStr = entry.getValue().trim(); |
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if ("int".equals(valueType)) { |
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int value = Integer.parseInt(valueStr); |
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result.put(entry.getKey(), value); |
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} else if ("double".equals(valueType)) { |
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double value = Double.parseDouble(valueStr); |
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result.put(entry.getKey(), value); |
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} else if ("string".equals(valueType)) { |
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String value = valueStr; |
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result.put(entry.getKey(), value); |
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} else if ("float".equals(valueType)) { |
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float value = Float.parseFloat(valueStr); |
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result.put(entry.getKey(), value); |
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} else if ("[[D".equals(valueType)) { |
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String valueStrTemp = entry.getValue(); |
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try { |
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//1.二位数组的行按照"/"来分割 |
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String[] rowList = valueStrTemp.split("/"); |
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int row = rowList.length; |
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int col = rowList[0].split(",").length; |
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double[][] value1 = new double[row][col]; |
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for (int i = 0; i < rowList.length; i++) { |
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//2.二位数组的列按照","来分割 |
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String[] colList = rowList[i].split(","); |
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for (int j = 0; j < colList.length; j++) { |
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value1[i][j] = Double.parseDouble(colList[j]); |
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} |
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} |
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//把从数据库的得到的参数的二维数组降为一维数组 |
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//int len =0; |
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double[] value = new double[row * col]; |
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/*for (int j = 0; j <value1.length ; j++) { |
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len+= value1.length; |
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}*/ |
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//value = new double[len]; |
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int index = 0; |
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for (int i = 0; i < value1.length; i++) { |
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for (int j = 0; j < value1[i].length; j++) { |
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value[index++] = value1[i][j]; |
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} |
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} |
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result.put(entry.getKey(), value); |
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} catch (Exception ex) { |
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System.out.println("二维数组类型的setting格式不正确"); |
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ex.printStackTrace(); |
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} |
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} else if ("decimalArray".equals(valueType)) { |
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JSONArray valueArray = JSONArray.parseArray(entry.getValue()); |
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double[] value = new double[valueArray.size()]; |
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for (int i = 0; i < valueArray.size(); i++) { |
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value[i] = Double.parseDouble(valueArray.get(i).toString()); |
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} |
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result.put(entry.getKey(), value); |
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} else if ("decimal".equals(valueType)) { |
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double value = Double.parseDouble(entry.getValue()); |
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//BigDecimal value = new BigDecimal(entry.getValue()); |
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result.put(entry.getKey(), value); |
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} |
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} |
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return result; |
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} |
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} |