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

@@ -8,13 +8,16 @@
import com.iailab.module.ansteel.common.enums.TraceProcessTypeEnum;
import com.iailab.module.model.api.mcs.McsApi;
import com.iailab.module.model.api.mdk.MdkApi;
import com.iailab.module.model.api.mdk.dto.StScheduleRecordVO;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;

import java.util.Calendar;
import java.util.Date;
import java.util.List;
import java.util.Objects;

/**
@@ -56,27 +59,15 @@

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

    private final static String row = "steamRow";

    private final static String total = "steamTotal1";

    private final static String SugObj = "GXJ";

    private static final String jsonStr = "{\"result\":{" +
            " \"steamProd\":[[0.76,0.76],[07,0.72],[0.74,0.68]]," +
            "\"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\":\"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]]" +
            " }" +
            "}";
    private String scheduleCode = "AnSteelCDQTrackImplv3"; //焦化干熄焦产蒸汽模型
    private final String finalResultStrKey = "finalResultStr";
    private final String resultListKey = "resultList";

    @Autowired
    private CokingTraceChartService cokingTraceChartService;


    @Override
    public void run(String params) {
@@ -93,19 +84,24 @@
            Date startDate = calendar.getTime();
            String clock = DateUtils.format(startDate);

            // 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();
            calendar.add(Calendar.DAY_OF_YEAR, 1);
            calendar.add(Calendar.MINUTE, -3);
            Date collectStartDate = calendar.getTime();

            JSONObject jsonObject = new JSONObject(result);
            JSONObject result2 = (JSONObject) JSON.toJSON(jsonObject.get("result"));*/
            // 查询模型结果
            List<StScheduleRecordVO> lastScheduleData = mcsApi.getLastScheduleData(scheduleCode, 1);
            if (CollectionUtils.isEmpty(lastScheduleData)) {
                logger.info("模型结果为空");
                return;
            }
            StScheduleRecordVO stScheduleRecordVO = lastScheduleData.get(0);
            if (stScheduleRecordVO == null) {
                logger.info("模型结果为空");
                return;
            }
            String jsonStr = stScheduleRecordVO.getResultData();

            JSONObject jsonObject = JSONObject.parseObject(jsonStr);
            JSONObject result = (JSONObject) JSON.toJSON(jsonObject.get("result"));
            JSONObject result = JSONObject.parseObject(jsonStr);
            if (Objects.isNull(result)) {
                logger.info("模型结果为空");
                return;
@@ -113,21 +109,25 @@

            // 保存报告
            String analyDate = DateUtils.format(startDate);
            String analyContent = clock + " " + result.getString("steamHomeIndexInfo");
            String content = result.getString(total);
            String analyContent = "干熄焦异常";
            String relId = cokingTraceReportService.save(process, reportName, analyDate, clock, analyContent);

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

            // 保存优化建议
            cokingTraceSuggestService.saveTraceSuggest(relId, process, clock, content, SugObj);
            String suggest = result.getString(finalResultStrKey);
            cokingTraceSuggestService.saveTraceSuggest(relId, process, clock, suggest, SugObj);

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

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

            // 保存溯源折线图
            cokingTraceChartService.save(relId, clock, indType, startDate, endDate);

        } catch (Exception ex) {
            logger.error("RunCokingTraceModelGXJTask运行异常");