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

@@ -4,15 +4,14 @@
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.*;
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.ansteel.common.enums.ProcessConfDataTypeEnum;
import com.iailab.module.data.api.ind.IndItemApi;
import com.iailab.module.data.api.ind.dto.ApiIndItemValueDTO;
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 com.iailab.module.model.api.mdk.MdkApi;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@@ -21,6 +20,7 @@
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.*;
import java.util.stream.Collectors;

@@ -52,92 +52,102 @@
    private CokingTraceIndService cokingTraceIndService;

    @Autowired
    private CokingTraceConfService cokingTraceConfService;

    @Autowired
    private McsApi mcsApi;

    @Autowired
    private DataPointApi dataPointApi;
    private MdkApi mdkApi;

    @Autowired
    private IndItemApi indItemApi;
    private final static String process = "干熄焦工序";

    private static final HashMap<String, Object> steamFirstColoumMap = new HashMap<String, Object>() {{
        put("steamFirstColoum0", "一级指标-偏差值");
        put("steamFirstColoum1", "二级指标-偏差值");
        put("steamFirstColoum2", "影响因素1-偏差值");
        put("steamFirstColoum3", "影响因素2-偏差值");
        put("steamFirstColoum4", "影响因素3-偏差值");
        put("steamFirstColoum5", "影响因素n-偏差值");
    }};
    private final static String reportName = "干熄焦工序异常溯源";

    private static final HashMap<String, Object> steamSecondColoumMap = new HashMap<String, Object>() {{
        put("steamSecondColoum0", "一级指标-偏差值");
        put("steamSecondColoum1", "二级指标-偏差值");
        put("steamSecondColoum2", "影响因素1-偏差值");
        put("steamSecondColoum3", "影响因素2-偏差值");
        put("steamSecondColoum4", "影响因素3-偏差值");
        put("steamSecondColoum5", "影响因素n-偏差值");
    }};
    private final static String indType = "干熄焦工序异常溯源";

    private final static String steamRow = "steamRow";

    private final static String SugObj = "GXJ";

    private static final String jsonStr="{\"result\":{" +
            "      \"steamTotal1\":\"2#干熄焦蒸汽发生量因空气导入量偏高、锅炉入口温度偏低而减少13t，经模型计算，建议调整空气导入量，预计可使主蒸汽流量指标升高20m3/h\",\n" +
            "      \"steamTotal2\":\"2#干熄焦蒸汽发生量因空气导入量偏高、锅炉入口温度偏低而减少13m3/h，经模型计算，建议调整循环风机转速，预计可使主蒸汽流量指标升高32m3/h\",\n" +
            "      \"steamFirstColoum0\":[[14,20],[14,30],[14,35]],\n" +
            "      \"steamFirstColoum1\":[[10,5],[11,15],[21,20]],\n" +
            "      \"steamFirstColoum2\":[[74,8],[36,18],[35,34]],\n" +
            "      \"steamFirstColoum3\":[[24,67],[6,12],[19,21]],\n" +
            "      \"steamFirstColoum4\":[[21,19],[22,31],[8,42]],\n" +
            "      \"steamFirstColoum5\":[[11,45],[9,62],[18,34]],\n" +
            "      \"steamSecondColoum0\":[[14,20],[14,50],[14,13]],\n" +
            "      \"steamSecondColoum1\":[[11,27],[10,35],[22,16]],\n" +
            "      \"steamSecondColoum2\":[[36,90],[35,34],[74,55]],\n" +
            "      \"steamSecondColoum3\":[[6,66],[19,73],[21,31]],\n" +
            "      \"steamSecondColoum4\":[[22,65],[8,22],[21,67]],\n" +
            "      \"steamSecondColoum5\":[[9,29],[11,56],[18,61]],\n" +
            "      \"steamHomePage\":[[663,617],[66.5,68.9]],\n" +
            "      \"steamHomeIndex\":[[90.4,90.2],[80.3,78],[103,100],[280,270]],\n" +
            "      \"steamHomeIndexInfo\":\"2月18日甲班：干熄焦产蒸汽量异常\",\n" +
            "      \"steamHomeErr\":\"2月18日循环风机转速数据异常（无数据）\"}}";
            " \"steamProd\":[[0.038,0.036],[0.035,0.036],[0.037,0.034]]," +
            "\"steamRow0\":[[14.0,20.7],[14.0,30.5],[14.0,35.2],[24.0,67.9],[6.0,12.3]]," +
            "\"steamRow1\":[[10.0,5.5],[11.0,15.1],[21.0,20.6],[22.0,31.3],[8.0,42.5]]," +
            "\"steamRow2\":[[74.0,8.2],[36.0,18.2],[35.0,34.6],[9.0,62.4],[18.0,34.7]]," +
            "\"steamPressure\":[3.7,3.6,3.4]," +
            "\"steamHomePage\":[[220.4,223.5],[0.5],[673214.3]]," +
            "\"steamHomeIndexInfo\":\"2025-04-28 甲班 干熄焦产蒸汽量异常\"," +
            "\"steamTemperature\":[461.3,460.4,456.6]," +
            "\"steamElec\":[233564.3,224571.7,246120.2,603157.7]," +
            "\"steamIndex\":[[3.182,3.265,3.275],[1250.3,1293.1,1264.05],[890.3,886.32,901.21],[161495.2,171043.5,168533.6],[203667.2,238742.6,226731.7],[223548.3,223097.9,226733.3]]," +
            "\"steamTotal1\":\"2#干熄焦蒸汽发生量因空气导入量偏高、锅炉入口温度偏低而减少13t，经模型计算，建议调整空气导入量，预计可使主蒸汽流量指标升高20m3/h\"," +
            "\"steamHomeIndex\":[[63.2,61.7],[62.8,67.2],[66.1,65.7],[204.6,220.5]]" +
            " }" +
            "}";

    @Override
    public void run(String params) {
        logger.info("RunCokingTraceModelGXJTask，参数为：{}", params);
        try {
            Calendar calendar = Calendar.getInstance();
            calendar.set(Calendar.MILLISECOND, 0);
            calendar.set(Calendar.SECOND, 0);
            calendar.set(Calendar.MINUTE, 0);
            int hour = calendar.get(Calendar.HOUR_OF_DAY);
            String yesterday = DateUtils.format(DateUtils.addDateDays(new Date(), -1), DateUtils.FORMAT_YEAR_MONTH_DAY);
            Date startDate = calendar.getTime();
            String clock = "";
            String analyClass = "";
            if (hour == 0) {
                clock = yesterday.concat("-").concat("A");
            if (hour >= 8 && hour < 16) {
                calendar.set(Calendar.HOUR_OF_DAY, 0);
                startDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("A");
                analyClass = "甲班";
            } else if (hour == 8) {
                clock = yesterday.concat("-").concat("B");
            } else if (hour >= 16 && hour < 24) {
                calendar.set(Calendar.HOUR_OF_DAY, 8);
                startDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "乙班";
            } else if (hour == 16) {
                clock = yesterday.concat("-").concat("C");
            } else if (hour >= 0 && hour < 8) {
                calendar.add(Calendar.DAY_OF_YEAR, -1);
                calendar.set(Calendar.HOUR_OF_DAY, 16);
                startDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "丙班";
            }
            Map<String, Object> tMap = new HashMap<>();
            tMap.put("relId", UUID.randomUUID().toString());
            tMap.put("process", "干熄焦工序");
            tMap.put("reportName", "锅炉蒸汽产量");
            tMap.put("analyDate", yesterday);
            tMap.put("analyClass", analyClass);
            tMap.put("clock", clock);
            tMap.put("analyContent", "干熄焦产蒸汽量异常");

            JSONObject jsonObject= JSONObject.parseObject(jsonStr);
            JSONObject result = (JSONObject)JSON.toJSON(jsonObject.get("result"));
            if(!Objects.isNull(result)){
                saveTraceReport(tMap,result);
                saveTraceSuggest(tMap,result);
                saveTraceDeviation(tMap,result);
                saveAnalyInd(tMap,result);
                saveTraceInd(tMap,result);
            // 调用模型
/*            MdkScheduleReqDTO dto = new MdkScheduleReqDTO();
            dto.setScheduleTime(calendar.getTime());
            dto.setScheduleCode(params);
            MdkScheduleRespDTO mdkScheduleRespDTO = mdkApi.doSchedule(dto);
            logger.info(params + "调度方案执行完成，" + mdkScheduleRespDTO);
            Map<String, Object> result = mdkScheduleRespDTO.getResult();

            JSONObject jsonObject = new JSONObject(result);
            JSONObject result2 = (JSONObject) JSON.toJSON(jsonObject.get("result"));*/

            JSONObject jsonObject = JSONObject.parseObject(jsonStr);
            JSONObject result = (JSONObject) JSON.toJSON(jsonObject.get("result"));
            if (Objects.isNull(result)) {
                logger.info("模型结果为空");
                return;
            }

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

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

            // 保存优化建议
            saveTraceSuggest(relId, process, clock, result);

            // 保存偏差值
            saveTraceDeviation(relId, process, clock, result);

            // 保存溯源指标
            cokingTraceIndService.saveTraceInd(relId, indType, clock);

        } catch (Exception ex) {
            logger.error("RunCokingTraceModelGXJTask运行异常");
            ex.printStackTrace();
@@ -146,146 +156,106 @@

    }

    public void saveTraceReport(Map<String, Object> tMap,JSONObject result) {
        CokingTraceReportEntity reportEntity = new CokingTraceReportEntity();
        reportEntity.setId(tMap.get("relId").toString());
        reportEntity.setProcess(tMap.get("process").toString());
        reportEntity.setReportName(tMap.get("reportName").toString());
        reportEntity.setAnalyDate(tMap.get("analyDate").toString());
        reportEntity.setAnalyClass(tMap.get("analyClass").toString());
        reportEntity.setClock(tMap.get("clock").toString());
        reportEntity.setAnalyContent(tMap.get("analyContent").toString());
        reportEntity.setCreateDate(new Date());
        cokingTraceReportService.save(reportEntity);
    }

    public void saveTraceSuggest(Map<String, Object> tMap,JSONObject result) {
        for(int i=1;i<=2;i++){
            String steamTotal = result.get("steamTotal"+i).toString();
            if(StringUtils.isNotBlank(steamTotal)){
                CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
                suggestEntity.setRelId(tMap.get("relId").toString());
                suggestEntity.setProcess(tMap.get("process").toString());
                suggestEntity.setSugObj("GXJ");
                suggestEntity.setClock(tMap.get("clock").toString());
                suggestEntity.setContent(steamTotal);
                suggestEntity.setCreateDate(new Date());
                cokingTraceSuggestService.save(suggestEntity);
            }
    public void saveTraceSuggest(String relId, String process, String clock, JSONObject result) {
        List<CokingTraceSuggestEntity> entityList = new ArrayList<>();
        String steamTotal = result.get("steamTotal1").toString();
        if(StringUtils.isNotBlank(steamTotal)){
            CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
            suggestEntity.setRelId(relId);
            suggestEntity.setProcess(process);
            suggestEntity.setSugObj("GXJ");
            suggestEntity.setClock(clock);
            suggestEntity.setContent(steamTotal);
            suggestEntity.setCreateDate(new Date());
            entityList.add(suggestEntity);
        }
        cokingTraceSuggestService.insert(entityList);
    }

    public void saveTraceDeviation(Map<String, Object> tMap,JSONObject result) {
    @Transactional
    public void saveTraceDeviation(String relId, String process, String clock, JSONObject result) {
        List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.STEAM_INDEX_CHARTCODE);
        Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));
        for(int i=0;i<=5;i++){
            String steamFirstColoum = result.get("steamFirstColoum"+i).toString();
            if(StringUtils.isNotBlank(steamFirstColoum)){
                JSONArray responseArr = JSON.parseArray(steamFirstColoum);
                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(tMap.get("relId").toString());
                    deviationEntity.setProcess(tMap.get("process").toString());
                    deviationEntity.setClock(tMap.get("clock").toString());
                    deviationEntity.setSugObj("GXJ");
                    deviationEntity.setGroupName(steamFirstColoumMap.get("steamFirstColoum"+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);
                }

        List<String> coalRowKeys = new ArrayList<>();
        result.forEach((key, value) -> {
            if (StringUtils.isNotBlank(key) && key.contains(steamRow)) {
                coalRowKeys.add(key);
            }
        }
        for(int i=0;i<=5;i++){
            String steamSecondColoum = result.get("steamSecondColoum"+i).toString();
            if(StringUtils.isNotBlank(steamSecondColoum)){
                JSONArray responseArr = JSON.parseArray(steamSecondColoum);
                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(tMap.get("relId").toString());
                    deviationEntity.setProcess(tMap.get("process").toString());
                    deviationEntity.setClock(tMap.get("clock").toString());
                    deviationEntity.setSugObj("GXJ");
                    deviationEntity.setGroupName(steamSecondColoumMap.get("steamSecondColoum" + 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);
                }

        });
        logger.info("coalRowKeys=" + coalRowKeys);
        List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
        for (String key : coalRowKeys) {
            JSONArray rowArr = JSON.parseArray(result.get(key).toString());
            if (CollectionUtils.isEmpty(rowArr)) {
                logger.info("rowArr is empty");
                continue;
            }
            CokingTraceDeviationEntity entity = new CokingTraceDeviationEntity();
            entity.setRelId(relId);
            entity.setProcess(process);
            entity.setClock(clock);
            entity.setSugObj(SugObj);

            entity.setInd1Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(0).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
            entity.setInd1Value(rowArr.getJSONArray(0).get(1).toString());
            entity.setInd1Unit("");

            entity.setInd2Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(1).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
            entity.setInd2Value(rowArr.getJSONArray(1).get(1).toString());
            entity.setInd2Unit("");

            if (rowArr.size() > 2) {
                entity.setFac1Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(2).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac1Value(rowArr.getJSONArray(2).get(1).toString());
                entity.setFac1Unit("");
            }
            if (rowArr.size() > 3) {
                entity.setFac2Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(3).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac2Value(rowArr.getJSONArray(3).get(1).toString());
                entity.setFac2Unit("");
            }
            if (rowArr.size() > 4) {
                entity.setFac3Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(4).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac3Value(rowArr.getJSONArray(4).get(1).toString());
                entity.setFac3Unit("");
            }
            if (rowArr.size() > 5) {
                entity.setFac4Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(5).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac4Value(rowArr.getJSONArray(5).get(1).toString());
                entity.setFac4Unit("");
            }
            if (rowArr.size() > 6) {
                entity.setFac5Name(steamIndexMaps.get(new BigDecimal(rowArr.getJSONArray(6).get(0).toString()).setScale(0,BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac5Value(rowArr.getJSONArray(6).get(1).toString());
                entity.setFac5Unit("");
            }
            entityList.add(entity);
        }

        cokingTraceDeviationService.save(entityList);
    }

    public void saveAnalyInd(Map<String, Object> tMap,JSONObject result) {
        String[] analyContent = tMap.get("analyContent").toString().split(";");
        List<CokingAnalyIndEntity> entityList = new ArrayList<>();
        for(int i=0;i<analyContent.length;i++){
            CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
            analyIndEntity.setRelId(tMap.get("relId").toString());
            analyIndEntity.setAnalyType(tMap.get("process").toString());
            analyIndEntity.setAnalyDate(tMap.get("analyDate").toString());
            analyIndEntity.setAnalyClass(tMap.get("analyClass").toString());
            analyIndEntity.setAnalyContent(analyContent[i]);
            analyIndEntity.setSort(i+1);
            entityList.add(analyIndEntity);
            cokingAnalyIndService.save(entityList);
        }
    }

    public void saveTraceInd(Map<String, Object> tMap,JSONObject result) {
        Map<String,Object> map = new HashMap<>();
        map.put("indType","干熄焦工序异常溯源");
        List<CokingTraceConfEntity> list = cokingTraceConfService.list(map);
        if (CollectionUtils.isEmpty(list)) {
            logger.info("ConfLis is Empty");
    public void saveAnalyInd(String relId, String process, String analyDate, String analyClass, String analyContent) {
        if (StringUtils.isBlank(analyContent)) {
            logger.info("analyContent is null");
            return;
        }
        List<CokingTraceIndEntity> entityList = new ArrayList<>();
        for (CokingTraceConfEntity conf : list) {
            if (StringUtils.isBlank(conf.getDataType())) {
                logger.info("DataType is Empty");
                continue;
            }
            if (StringUtils.isBlank(conf.getPointNo())) {
                logger.info("PointNo is Empty");
                continue;
            }
            String value = "";
            switch (ProcessConfDataTypeEnum.getEumByCode(conf.getDataType())) {
                case DATAPOINT:
                    List<String> points = new ArrayList<>();
                    points.add(conf.getPointNo());
                    Map<String, Object> pointsRealValue = dataPointApi.queryPointsRealValue(points);
                    value = pointsRealValue.get(conf.getPointNo()).toString();
                    break;
                case IND:
                    List<ApiIndItemValueDTO> indValues = indItemApi.queryIndItemDefaultValue(conf.getPointNo());
                    if (!CollectionUtils.isEmpty(indValues)) {
                        value = indValues.get(indValues.size() - 1).getDataValue().toString();
                    }
                    break;
                default:
                    break;

            }
            CokingTraceIndEntity cokingTraceIndEntity = new CokingTraceIndEntity();
            cokingTraceIndEntity.setRelId(tMap.get("relId").toString());
            cokingTraceIndEntity.setTitle(conf.getIndType());
            cokingTraceIndEntity.setClock(tMap.get("clock").toString());
            cokingTraceIndEntity.setIndCode(conf.getIndCode());
            cokingTraceIndEntity.setIndName(conf.getIndName());
            cokingTraceIndEntity.setIndValue(value);
            cokingTraceIndEntity.setIndUnit(conf.getIndUnit());
            entityList.add(cokingTraceIndEntity);
            cokingTraceIndService.save(entityList);

        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);
        }
        // 清理旧数据
        cokingAnalyIndService.delete(process, analyDate, analyClass);
        cokingAnalyIndService.save(entityList);
    }
}