iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java

@@ -4,7 +4,6 @@
import com.iailab.framework.common.util.object.ConvertUtils;
import com.iailab.module.model.api.mdk.MdkApi;
import com.iailab.module.model.api.mdk.dto.*;
import com.iailab.framework.common.pojo.CommonResult;
import com.iailab.module.model.mcs.pre.entity.DmModuleEntity;
import com.iailab.module.model.mcs.pre.service.DmModuleService;
import com.iailab.module.model.mcs.pre.service.MmPredictItemService;
@@ -98,35 +97,40 @@
                    intervalTime = (int) (reqDTO.getPredictTime().getTime() - module.getPredicttime().getTime()) / (1000 * 60);
                }
                List<ItemVO> predictItemList = mmPredictItemService.getByModuleId(module.getId());
                Map<String, PredictResultVO> predictResultMap = predictModuleHandler.predict(predictItemList, reqDTO.getPredictTime(), intervalTime);
                Map<String, PredictResultVO> predictResultMap = new HashMap<>(predictItemList.size());
                // 分组，先运行normal预测项，再将结果传递给merge预测项
                List<ItemVO> normalItems = predictItemList.stream().filter(e -> e.getItemType().equals("NormalItem")).collect(Collectors.toList());
                if (!CollectionUtils.isEmpty(normalItems)) {
                    predictModuleHandler.predict(normalItems, reqDTO.getPredictTime(), intervalTime,predictResultMap);
                    List<ItemVO> mergeItem = predictItemList.stream().filter(e -> e.getItemType().equals("MergeItem")).collect(Collectors.toList());
                    if (!CollectionUtils.isEmpty(mergeItem)) {
                        predictModuleHandler.predict(mergeItem, reqDTO.getPredictTime(), intervalTime,predictResultMap);
                    }
                }
                // 更新Module时间
                dmModuleService.updatePredictTime(module.getId(), reqDTO.getPredictTime());
                if (reqDTO.getIsResult() == null || !reqDTO.getIsResult()) {
                    return resp;
                }
                for (Map.Entry<String, PredictResultVO> entry : predictResultMap.entrySet()) {
                    MdkPredictItemRespDTO itemResp = new MdkPredictItemRespDTO();
                    itemResp.setItemId(entry.getKey());
                    itemResp.setPredictTime(reqDTO.getPredictTime());
                    Map<String, List<MdkPredictDataDTO>> itemPredictData = new HashMap<>();

//                for (Map.Entry<String, PredictResultVO> entry : predictResultMap.entrySet()) {
//                    for (Map.Entry<String, List<DataValueVO>> dataListEntry : entry.getValue().getPredictLists().entrySet()) {
//                        List<MdkPredictDataDTO> predictData = dataListEntry.getValue().stream().map(t -> {
//                            MdkPredictDataDTO dto1 = new MdkPredictDataDTO();
//                            dto1.setDataTime(t.getDataTime());
//                            dto1.setDataValue(t.getDataValue());
//                            return dto1;
//                        }).collect(Collectors.toList());
//                        MdkPredictItemRespDTO itemResp = new MdkPredictItemRespDTO();
//                        itemResp.setItemId(dataListEntry.getKey());
//                        itemResp.setPredictData(predictData);
//                        predictItemRespMap.put(entry.getKey(), itemResp);
//                    }
//                }

//                for (Map.Entry<String, PredictResultVO> entry : predictResultMap.entrySet()) {
//                    List<MdkPredictDataDTO> predictData = entry.getValue().getPredictList().stream().map(t-> {
//                        MdkPredictDataDTO dto1 = new MdkPredictDataDTO();
//                        dto1.setDataTime(t.getDataTime());
//                        dto1.setDataValue(t.getDataValue());
//                        return dto1;
//                    }).collect(Collectors.toList());
//                    MdkPredictItemRespDTO itemResp = new MdkPredictItemRespDTO();
//                    itemResp.setItemId(entry.getValue().getPredictId());
//                    itemResp.setPredictData(predictData);
//                    predictItemRespMap.put(entry.getKey(), itemResp);
//                }
                    Map<String, List<DataValueVO>> predictLists = predictResultHandler.convertToPredictData2(entry.getValue());
                    for (Map.Entry<String, List<DataValueVO>> dataListEntry : predictLists.entrySet()) {
                        List<MdkPredictDataDTO> predictData = dataListEntry.getValue().stream().map(t -> {
                            MdkPredictDataDTO dto1 = new MdkPredictDataDTO();
                            dto1.setDataTime(t.getDataTime());
                            dto1.setDataValue(t.getDataValue());
                            return dto1;
                        }).collect(Collectors.toList());
                        itemPredictData.put(dataListEntry.getKey(), predictData);
                    }
                    itemResp.setPredictData(itemPredictData);
                    predictItemRespMap.put(entry.getKey(), itemResp);
                }
            }
            log.info("预测计算结束: " + System.currentTimeMillis());
        } catch (Exception ex) {
@@ -149,14 +153,15 @@

        try {
            log.info("预测计算开始: " + System.currentTimeMillis());
            List<MdkPredictDataDTO> predictData = new ArrayList<>();
            Map<String, List<MdkPredictDataDTO>> predictData = new HashMap<>();
            ItemVO predictItem = itemEntityFactory.getItemByItemNo(reqDTO.getItemNo());
            PredictItemHandler predictItemHandler = (PredictItemHandler)predictItemFactory.create(predictItem.getId());
            PredictResultVO predictResult = predictItemHandler.predict(reqDTO.getPredictTime(), predictItem);
            PredictItemHandler predictItemHandler = predictItemFactory.create(predictItem.getId());
            PredictResultVO predictResult = predictItemHandler.predict(reqDTO.getPredictTime(), predictItem,null,null);
            Map<String, List<DataValueVO>> resultMap = predictResultHandler.convertToPredictData(predictResult);
            if (!CollectionUtils.isEmpty(resultMap)) {
                for (Map.Entry<String, List<DataValueVO>> entry : resultMap.entrySet()) {
                    predictData = ConvertUtils.sourceToTarget(entry.getValue(), MdkPredictDataDTO.class);
                    List<MdkPredictDataDTO>  data = ConvertUtils.sourceToTarget(entry.getValue(), MdkPredictDataDTO.class);
                    predictData.put(entry.getKey(), data);
                }
            }
            resp.setPredictData(predictData);
@@ -164,7 +169,7 @@
            resp.setPredictTime(reqDTO.getPredictTime());
            log.info("预测计算结束: " + System.currentTimeMillis());
        } catch (Exception ex) {
            log.info("预测计算异常: " + System.currentTimeMillis(),ex);
            log.info("预测计算异常: " + System.currentTimeMillis(), ex);
            return resp;
        }

@@ -197,12 +202,12 @@
        resp.setScheduleTime(reqDTO.getScheduleTime());
        try {
            log.info("调度计算开始: " + System.currentTimeMillis());
            ScheduleResultVO scheduleResult = scheduleModelHandler.doSchedule(reqDTO.getModelCode(), reqDTO.getScheduleTime());
            ScheduleResultVO scheduleResult = scheduleModelHandler.doSchedule(reqDTO.getScheduleCode(), reqDTO.getScheduleTime());
            resp.setResult(scheduleResult.getResult());
            log.info("预测计算结束: " + System.currentTimeMillis());
        } catch (Exception ex) {
            log.info("调度计算异常: " + System.currentTimeMillis());
            ex.printStackTrace();
//            ex.printStackTrace();
            return resp;
        }
        return resp;