From 281e342bdc3e3f619ec5c7956f89fb3b44a421bf Mon Sep 17 00:00:00 2001
From: dongyukun <1208714201@qq.com>
Date: 星期五, 27 六月 2025 15:17:15 +0800
Subject: [PATCH] 修改功率因素和无功上网解析

---
 ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelGXJTask.java |   60 +++++++++++++++++++++++++-----------------------------------
 1 files changed, 25 insertions(+), 35 deletions(-)

diff --git a/ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelGXJTask.java b/ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelGXJTask.java
index 34efa22..c76e9c2 100644
--- a/ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelGXJTask.java
+++ b/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;
 
 /**
@@ -56,30 +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 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;
 
-    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]]" +
-            " }" +
-            "}";
 
     @Override
     public void run(String params) {
@@ -100,19 +88,20 @@
             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;
@@ -120,18 +109,19 @@
 
             // 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, collectStartDate, endDate);

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