ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelLJTask.java

@@ -1,27 +1,20 @@
package com.iailab.module.ansteel.job.task;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.iailab.framework.common.util.date.DateUtils;
import com.iailab.module.ansteel.coking.entity.CokingAnalyIndEntity;
import com.iailab.module.ansteel.coking.entity.CokingTraceDeviationEntity;
import com.iailab.module.ansteel.coking.entity.CokingTraceSuggestEntity;
import com.iailab.module.ansteel.coking.service.*;
import com.iailab.module.ansteel.common.constant.CommonConstant;
import com.iailab.module.data.api.ind.IndItemApi;
import com.iailab.module.data.api.point.DataPointApi;
import com.iailab.module.model.api.mcs.McsApi;
import com.iailab.module.model.api.mcs.dto.ChartParamDTO;
import org.apache.commons.lang3.StringUtils;
import com.iailab.module.ansteel.common.enums.TraceProcessTypeEnum;
import com.iailab.module.model.api.mdk.MdkApi;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.transaction.annotation.Transactional;

import java.util.*;
import java.util.stream.Collectors;
import java.util.Calendar;
import java.util.Date;
import java.util.Objects;

/**
 * 炼焦工序-异常溯源
@@ -50,21 +43,12 @@
    private CokingTraceIndService cokingTraceIndService;

    @Autowired
    private CokingTraceConfService cokingTraceConfService;

    @Autowired
    private CokingTraceChartService cokingTraceChartService;

    @Autowired
    private McsApi mcsApi;
    private MdkApi mdkApi;

    @Autowired
    private DataPointApi dataPointApi;

    @Autowired
    private IndItemApi indItemApi;

    private final static String process = "炼焦工序";
    private final static String process = TraceProcessTypeEnum.LJ.getProcess();

    private final static String reportName = "炼焦工序异常溯源";

@@ -72,36 +56,27 @@

    private final static String indType = "炼焦工序异常溯源";

    private static final HashMap<String, Object> cokeColoumMap = new HashMap<String, Object>() {{
        put("cokeColoum0", "一级指标-偏差值");
        put("cokeColoum1", "二级指标-偏差值");
        put("cokeColoum2", "影响因素1-偏差值");
        put("cokeColoum3", "影响因素2-偏差值");
        put("cokeColoum4", "影响因素3-偏差值");
        put("cokeColoum5", "影响因素n-偏差值");
    }};
    private final static String row = "cokeRow";

    private static final HashMap<String, Object> historyPointMap = new HashMap<String, Object>() {{
        put("F0000101009", "荒煤气发生");
        put("F0000101009", "耗热量");
    }};
    private final static String total = "cokeTotal";

    private static final String jsonStr = "{\n" + "    " +
            "\"result\": {\n" + "      " +
            "\"cokeCOG\":[100.5,99.8],\n" + "      " +
            "\"cokeHeat\":[3.7,3.8],\n" + "      " +
            "\"cokeIndex\":[[0.8,0.7],[608,608],[1440,1460],[1346,1293],[0.8,0.7],[1372,1293]],\n" + "      " +
            "\"cokeTotal\":\"炼焦吨焦耗热量因煤气流量偏高、煤气水分偏低而增加23，经模型计算，延建议调整煤气流量，预计可使吨焦耗热量指标降低17\",\n" + "      " +
            "\"cokeColoum0\":[[0,13],[0,42],[0,34]],\n" + "      " +
            "\"cokeColoum1\":[[13,12],[12,34],[24,42]],\n" + "     " +
            "\"cokeColoum2\":[[27,45],[58,42],[70,31]],\n" + "      " +
            "\"cokeColoum3\":[[108,56],[110,89],[185,21]],\n" + "      " +
            "\"cokeColoum4\":[[199,13],[200,51],[197,34]],\n" + "      " +
            "\"cokeColoum5\":[[147,33],[131,12],[122,13]],\n" + "      " +
            "\"cokeHomePage\":[[202,42],[203,13],[204,45],[205,34],[206,17]],\n" + "      " +
            "\"cokeHomeIndex\":[[90.4,90.2],[80.3,78],[103,100],[280,270]],\n" + "      " +
            "\"cokeHomeIndexInfo\":\"2月18日甲班：吨焦耗热量异常\",\n" + "      " +
            "\"cokeHomeErr\":\"2月18日煤气预热器前数据异常（无数据）\"\n" + "    " + "}\n" + "}";
    private static final String jsonStr = "{\n" +
            "\"result\": {\n" +
            "\"cokeElec\":[583562.4]," +
            "\"cokeHeat1\":[130820.4,136710.3]," +
            "\"cokeRow0\":[[0.0,13.6],[2.0,10.5],[69.0,34.6]]," +
            "\"cokeIndex\":[[0.0149,0.0148],[23.6,24.5],[1350.2,1423.5],[1.21,1.25],[0.28],[103542.3,135238.5],[104668.63,137826.5],[155678.2]]," +
            "\"cokeRow1\":[[0.0,12.51],[81.0,34.3],[69.0,42.3],[86.0,56.4],[92.0,89.4]]," +
            "\"cokeRow2\":[[0.0,45.3],[9.0,42.5],[81.0,31.2],[88.0,16.3]]," +
            "\"cokeHeat2\":[135220.3,134720.3]," +
            "\"cokeCOG2\":[64525.8,64824.2]," +
            "\"cokeHomeIndex\":[[90.4,90.2],[80.3,78.5],[103.6,100.3],[280.9,270.4]]," +
            "\"cokeHomeIndexInfo\":\"吨焦耗热量异常\"," +
            "\"cokeCOG1\":[64435.5,64532.6]," +
            "\"cokeHomePage\":[[124439.4,124428.4],[320.6],[224.3],[248305.4],[124436.2],[3.96],[0.43]]," +
            "\"cokeTotal\":\"炼焦吨焦耗热量因煤气流量偏高、煤气水分偏低而增加23，经模型计算，延建议调整煤气流量，预计可使吨焦耗热量指标降低17\"" +
            " }" +
            "}";

    @Override
    public void run(String params) {
@@ -111,34 +86,12 @@
            calendar.set(Calendar.MILLISECOND, 0);
            calendar.set(Calendar.SECOND, 0);
            calendar.set(Calendar.MINUTE, 0);
            int hour = calendar.get(Calendar.HOUR_OF_DAY);
            Date startDate = calendar.getTime();

            calendar.set(Calendar.HOUR_OF_DAY, 0);
            Date endDate = calendar.getTime();
            String clock = "";
            String analyClass = "";
            if (hour >= 8 && hour < 16) {
                calendar.set(Calendar.HOUR_OF_DAY, 0);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("A");
                analyClass = "甲班";
            } else if (hour >= 16 && hour < 24) {
                calendar.set(Calendar.HOUR_OF_DAY, 8);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "乙班";
            } else if (hour >= 0 && hour < 8) {
                calendar.add(Calendar.DAY_OF_YEAR, -1);
                calendar.set(Calendar.HOUR_OF_DAY, 16);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "丙班";
            }
            calendar.add(Calendar.DAY_OF_YEAR, -1);
            Date startDate = calendar.getTime();
            String clock = DateUtils.format(startDate);

            // 调用模型
            JSONObject jsonObject = JSONObject.parseObject(jsonStr);
@@ -151,17 +104,18 @@

            // 保存报告
            String analyDate = DateUtils.format(startDate);
            String analyContent = result.getString("coalIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, analyClass, clock, analyContent);
            String analyContent = clock + " " + result.getString("cokeHomeIndexInfo");
            String content = result.getString(total);
            String relId = cokingTraceReportService.save(process, reportName, analyDate, clock, analyContent);

            // 保存一级分析指标
            saveAnalyInd(relId, process, analyDate, analyClass, analyContent);
            cokingAnalyIndService.saveAnalyInd(relId, process, analyDate, analyContent);

            // 保存优化建议
            saveTraceSuggest(relId, process, clock, result);
            cokingTraceSuggestService.saveTraceSuggest(relId, process, clock, content, SugObj);

            // 保存偏差值
            saveTraceDeviation(relId, process, clock, result);
            cokingTraceDeviationService.saveTraceDeviation(relId, process, clock, result, CommonConstant.COKE_INDEX_CHARTCODE, row, SugObj);

            // 保存溯源指标
            cokingTraceIndService.saveTraceInd(relId, indType, clock);
@@ -174,68 +128,5 @@
            ex.printStackTrace();
        }
        logger.info("RunCokingTraceModelLJTask运行完成");
    }

    public void saveTraceSuggest(String relId, String process, String clock, JSONObject result) {
        String cokeTotal = result.get("cokeTotal").toString();
        if (StringUtils.isBlank(cokeTotal)) {
            logger.info("cokeTotal is null");
            return;
        }
        CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
        suggestEntity.setRelId(relId);
        suggestEntity.setProcess(process);
        suggestEntity.setSugObj(SugObj);
        suggestEntity.setClock(clock);
        suggestEntity.setContent(cokeTotal);
        suggestEntity.setCreateDate(new Date());
        cokingTraceSuggestService.save(suggestEntity);
    }

    @Transactional
    public void saveTraceDeviation(String relId, String process, String clock, JSONObject result) {
        List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.COKE_INDEX_CHARTCODE);
        Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));
        for (int i = 0; i <= 5; i++) {
            String cokeColoum = result.get("cokeColoum" + i).toString();
            if (StringUtils.isNotBlank(cokeColoum)) {
                JSONArray responseArr = JSON.parseArray(cokeColoum);
                List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
                for (int j = 0; j < responseArr.size(); j++) {
                    JSONArray element = JSON.parseArray(responseArr.get(j).toString());
                    CokingTraceDeviationEntity deviationEntity = new CokingTraceDeviationEntity();
                    deviationEntity.setRelId(relId);
                    deviationEntity.setProcess(process);
                    deviationEntity.setClock(clock);
                    deviationEntity.setSugObj(SugObj);
                    deviationEntity.setGroupName(cokeColoumMap.get("cokeColoum" + i).toString());
                    deviationEntity.setIndName(steamIndexMaps.get(element.get(0).toString()));
                    deviationEntity.setIndValue(element.get(1).toString());
                    deviationEntity.setCreateDate(new Date());
                    entityList.add(deviationEntity);
                }
                cokingTraceDeviationService.save(entityList);
            }
        }
    }

    public void saveAnalyInd(String relId, String process, String analyDate, String analyClass, String analyContent) {
        if (StringUtils.isBlank(analyContent)) {
            logger.info("analyContent is null");
            return;
        }
        String[] analyContentArr = analyContent.split(";");
        List<CokingAnalyIndEntity> entityList = new ArrayList<>();
        for (int i = 0; i < analyContentArr.length; i++) {
            CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
            analyIndEntity.setRelId(relId);
            analyIndEntity.setAnalyType(process);
            analyIndEntity.setAnalyDate(analyDate);
            analyIndEntity.setAnalyClass(analyClass);
            analyIndEntity.setAnalyContent(analyContentArr[i]);
            analyIndEntity.setSort(i + 1);
            entityList.add(analyIndEntity);
        }
        cokingAnalyIndService.save(entityList);
    }
}