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

@@ -1,16 +1,17 @@
package com.iailab.module.model.api;

import com.alibaba.fastjson.JSON;
import com.iailab.framework.common.util.object.ConvertUtils;
import com.iailab.module.data.api.point.DataPointApi;
import com.iailab.module.data.api.point.dto.ApiPointValueWriteDTO;
import com.iailab.module.model.api.mcs.dto.StScheduleModelOutDTO;
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;
import com.iailab.module.model.mdk.factory.ItemEntityFactory;
import com.iailab.module.model.mdk.factory.PredictItemFactory;
import com.iailab.module.model.mdk.predict.PredictItemHandler;
import com.iailab.module.model.mcs.sche.service.StScheduleModelOutService;
import com.iailab.module.model.mcs.sche.service.StScheduleRecordService;
import com.iailab.module.model.mcs.sche.service.StScheduleSchemeService;
import com.iailab.module.model.mdk.predict.PredictModuleHandler;
import com.iailab.module.model.mdk.predict.PredictResultHandler;
import com.iailab.module.model.mdk.schedule.ScheduleModelHandler;
@@ -24,14 +25,8 @@
import org.springframework.validation.annotation.Validated;
import org.springframework.web.bind.annotation.RestController;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.*;
import java.util.stream.Collectors;

import static com.iailab.framework.common.pojo.CommonResult.error;
import static com.iailab.framework.common.pojo.CommonResult.success;

/**
 * @author PanZhibao
@@ -53,16 +48,22 @@
    private PredictModuleHandler predictModuleHandler;

    @Autowired
    private ItemEntityFactory itemEntityFactory;

    @Autowired
    private PredictItemFactory predictItemFactory;

    @Autowired
    private PredictResultHandler predictResultHandler;

    @Autowired
    private ScheduleModelHandler scheduleModelHandler;

    @Autowired
    private StScheduleRecordService stScheduleRecordService;

    @Autowired
    private StScheduleSchemeService stScheduleSchemeService;

    @Autowired
    private StScheduleModelOutService stScheduleModelOutService;

    @Autowired
    private DataPointApi dataPointApi;

    /**
     * 按模块预测
@@ -73,6 +74,9 @@
    @Override
    public MdkPredictModuleRespDTO predictModule(MdkPredictReqDTO reqDTO) {
        MdkPredictModuleRespDTO resp = new MdkPredictModuleRespDTO();
        resp.setPredictTime(reqDTO.getPredictTime());
        resp.setModuleType(reqDTO.getModuleType());

        Map<String, MdkPredictItemRespDTO> predictItemRespMap = new HashMap<>();
        try {
            if (reqDTO.getPredictTime() == null) {
@@ -81,6 +85,11 @@
            if (reqDTO.getModuleType() == null) {
                throw new Exception("ModuleType不能为空");
            }
            Calendar calendar = Calendar.getInstance();
            calendar.setTime(reqDTO.getPredictTime());
            calendar.set(Calendar.MILLISECOND, 0);
            calendar.set(Calendar.SECOND, 0);
            reqDTO.setPredictTime(calendar.getTime());
            log.info("预测参数：" + JSON.toJSONString(reqDTO));
            MdkPredictModuleRespDTO result = new MdkPredictModuleRespDTO();
            result.setPredictTime(reqDTO.getPredictTime());
@@ -93,17 +102,38 @@
                    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> mergeItems = predictItemList.stream().filter(e -> e.getItemType().equals("MergeItem")).collect(Collectors.toList());
                    if (!CollectionUtils.isEmpty(mergeItems)) {
                        predictModuleHandler.predict(mergeItems, 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()) {
                    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);
                    itemResp.setItemId(entry.getKey());
                    itemResp.setPredictTime(reqDTO.getPredictTime());
                    Map<String, List<MdkPredictDataDTO>> itemPredictData = new HashMap<>();

                    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);
                }
            }
@@ -125,26 +155,31 @@
    @Override
    public MdkPredictItemRespDTO predictItem(MdkPredictReqDTO reqDTO) {
        MdkPredictItemRespDTO resp = new MdkPredictItemRespDTO();

        try {
            log.info("预测计算开始: " + System.currentTimeMillis());
            List<MdkPredictDataDTO> predictData = new ArrayList<>();
            ItemVO predictItem = itemEntityFactory.getItemByItemNo(reqDTO.getItemNo());
            PredictItemHandler predictItemHandler = (PredictItemHandler)predictItemFactory.create(predictItem.getId());
            PredictResultVO predictResult = predictItemHandler.predict(reqDTO.getPredictTime(), predictItem);
            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);
                }

            ItemVO itemByItemNo = mmPredictItemService.getItemByItemNo(reqDTO.getItemNo());
            List<ItemVO> predictItemList = new ArrayList<>();
            predictItemList.add(itemByItemNo);
            Map<String, PredictResultVO> predictResultMap = new HashMap<>(predictItemList.size());
            predictModuleHandler.predict(predictItemList, reqDTO.getPredictTime(), 0, predictResultMap);

            Map<String, List<MdkPredictDataDTO>> itemPredictData = new HashMap<>();

            Map<String, List<DataValueVO>> predictLists = predictResultHandler.convertToPredictData2(predictResultMap.get(reqDTO.getItemNo()));
            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);
            }
            resp.setPredictData(predictData);
            resp.setItemId(predictItem.getId());
            resp.setItemId(reqDTO.getItemNo());
            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());
            return resp;
            resp.setPredictData(itemPredictData);
        } catch (Exception e) {
            throw new RuntimeException(e);
        }

        return resp;
@@ -176,8 +211,11 @@
        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.setStatusCode(scheduleResult.getResultCode());
            resp.setResult(scheduleResult.getResult());
            stScheduleRecordService.create(scheduleResult);
            stScheduleSchemeService.updateTime(scheduleResult.getSchemeId(), scheduleResult.getScheduleTime(), scheduleResult.getResultCode());
            log.info("预测计算结束: " + System.currentTimeMillis());
        } catch (Exception ex) {
            log.info("调度计算异常: " + System.currentTimeMillis());
@@ -186,4 +224,74 @@
        }
        return resp;
    }

    @Override
    public Boolean scheduleModelOut(MdkScheduleRespDTO dto) {
        String modelId = stScheduleSchemeService.getByCode(dto.getScheduleCode()).getModelId();
        Map<String,Object> result =  dto.getResult();
        List<StScheduleModelOutDTO> list =  stScheduleModelOutService.list(modelId);
        try{
            list.forEach(
                    item -> {
                        double value = 0;
                        //判断点位是否下发以及返回结果是否存在
                        if(item.getIsWrite()==1){
                            if(result.get(item.getResultKey())==null){
                                log.error(result.get(item.getResultKey()) + "resultKey匹配失败");
                            }
                            Object resultValue = result.get(item.getResultKey());
                            //判断解析方式
                            if(item.getResultType().equals("double")){
                                if(resultValue instanceof Double) {
                                    value = (Double) resultValue;
                                }
                            }else if(item.getResultType().equals("double[]")){
                                ArrayList<Double> doubleList = (ArrayList<Double>) resultValue;
                                double[] array = new double[doubleList.size()];
                                for (int i = 0; i < doubleList.size(); i++) {
                                    array[i] = doubleList.get(i);
                                }
                                if(array!= null && item.getResultPort() < array.length){
                                    value = array[item.getResultPort()];
                                }else{
                                    log.error(result.get(item.getResultKey()) + "下角标超限");
                                }

                            }else if(item.getResultType().equals("double[][]")){
                                if (item.getResultType().equals("double[][]")) {
                                    if (resultValue instanceof ArrayList) {
                                        ArrayList<ArrayList<Double>> doubleListList = (ArrayList<ArrayList<Double>>) resultValue;
                                        double[][] array = new double[doubleListList.size()][];
                                        for (int i = 0; i < doubleListList.size(); i++) {
                                            ArrayList<Double> doubleList = doubleListList.get(i);
                                            array[i] = new double[doubleList.size()];
                                            for (int j = 0; j < doubleList.size(); j++) {
                                                array[i][j] = doubleList.get(j);
                                            }
                                        }
                                        if (array != null && item.getResultPort() < array.length && item.getResultIndex() < array[item.getResultPort()].length) {
                                            value = array[item.getResultPort()][item.getResultIndex()];
                                        } else {
                                            log.error(result.get(item.getResultKey()) + "下标超限");
                                        }
                                    }
                                }
                            }
                            //下发到point点位
                            ApiPointValueWriteDTO ApiPointValueWriteDTO = new ApiPointValueWriteDTO();
                            ApiPointValueWriteDTO.setPointNo(item.getPointNo());
                            ApiPointValueWriteDTO.setValue(value);
                            if (!dataPointApi.writePointRealValue(ApiPointValueWriteDTO)) {
                                log.error(result.get(item.getResultKey()) + "下发数据异常");
                            }

                        }
                    }
            );
        }catch (Exception ex){
            log.error("下发数据异常");
            ex.printStackTrace();
        }
        return true;
    }
}