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

@@ -10,6 +10,9 @@
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.MdkScheduleReqDTO;
import com.iailab.module.model.api.mdk.dto.MdkScheduleRespDTO;
import com.iailab.module.model.api.mdk.dto.StScheduleRecordVO;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
@@ -66,24 +69,9 @@

    private final static String indType = "备煤工序异常溯源";

    private final static String row = "coalRow";

    private final static String total = "coalPrepElecTotal1";

    private static final String jsonStr = "{\n" + "    " +
            "\"result\": {\n" +
            "\"coalHomeIndexInfo\":\"备煤耗电偏高\"," +
            "\"coalPrepElec\":[1600.8,1613.5]," +
            "\"coalPrepElecTotal1\":\"备煤耗电量偏高，经模型计算，原因和调整建议如下：煤量异常，当前值2000, 建议调整煤量至区间[765.0,1020.0]\"," +
            "\"coalPrepElecTime\":[[0.3,0.3],[1700.31,1900.2],[120.3]]," +
            "\"coalPrepElecIndex\":[133527.2,283517.6,83451.5,233461.2,83564.4]," +
            "\"coalRow0\":[[0.0,1000.3],[1.0,120.2],[7.0,1150.32]]," +
            "\"coalRow1\":[[0.0,1000.5],[2.0,200.56],[7.0,120.2]]," +
            "\"coalRow2\":[[0.0,1000.6],[3.0,261.7],[7.0,170.52]]," +
            "\"coalPrepElecHomePage\":[503000.6,84.04]," +
            "\"coalHomeIndex\":[30.0,4.6,523000.6]" +
            "  }" +
            "}";
    private String scheduleCode = "";
    private final String finalResultStrKey = "finalResultStr";
    private final String resultListKey = "resultList";

    @Override
    public void run(String params) {
@@ -104,20 +92,20 @@
            calendar.add(Calendar.MINUTE, -3);
            Date collectStartDate = calendar.getTime();

            // 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> tResult = mdkScheduleRespDTO.getResult();
//            JSONObject result = new JSONObject(tResult);
//            logger.info("result===" +  JSONObject.toJSONString(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;
@@ -125,18 +113,19 @@

            // 保存报告
            String analyDate = DateUtils.format(startDate);
            String analyContent = clock + " " + result.getString("coalHomeIndexInfo");
            String content = result.getString(total);
            String analyContent = "备煤异常";
            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, collectStartDate, endDate);