package com.iailab.module.ansteel.job.task;
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import com.alibaba.fastjson.JSON;
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import com.alibaba.fastjson.JSONArray;
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import com.alibaba.fastjson.JSONObject;
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import com.iailab.framework.common.util.date.DateUtils;
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import com.iailab.module.ansteel.coking.entity.CokingAnalyIndEntity;
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import com.iailab.module.ansteel.coking.entity.CokingTraceDeviationEntity;
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import com.iailab.module.ansteel.coking.entity.CokingTraceSuggestEntity;
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import com.iailab.module.ansteel.coking.service.*;
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import com.iailab.module.ansteel.common.constant.CommonConstant;
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import com.iailab.module.data.api.ind.IndItemApi;
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import com.iailab.module.data.api.point.DataPointApi;
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import com.iailab.module.model.api.mcs.McsApi;
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import com.iailab.module.model.api.mcs.dto.ChartParamDTO;
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import org.apache.commons.lang3.StringUtils;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Component;
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import org.springframework.transaction.annotation.Transactional;
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import java.util.*;
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import java.util.stream.Collectors;
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/**
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* 干熄焦工序-异常溯源
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*
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* @author lirm
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* @Description
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* @createTime 2025年04月17日
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*/
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@Component("runCokingTraceModelGXJTask")
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public class RunCokingTraceModelGXJTask implements ITask {
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private Logger logger = LoggerFactory.getLogger(getClass());
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@Autowired
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private CokingTraceReportService cokingTraceReportService;
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@Autowired
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private CokingTraceSuggestService cokingTraceSuggestService;
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@Autowired
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private CokingTraceDeviationService cokingTraceDeviationService;
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@Autowired
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private CokingAnalyIndService cokingAnalyIndService;
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@Autowired
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private CokingTraceIndService cokingTraceIndService;
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@Autowired
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private CokingTraceConfService cokingTraceConfService;
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@Autowired
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private McsApi mcsApi;
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@Autowired
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private DataPointApi dataPointApi;
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@Autowired
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private IndItemApi indItemApi;
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private final static String process = "干熄焦工序";
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private final static String reportName = "干熄焦工序异常溯源";
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private final static String indType = "干熄焦工序异常溯源";
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private static final HashMap<String, Object> steamFirstColoumMap = new HashMap<String, Object>() {{
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put("steamFirstColoum0", "一级指标-偏差值");
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put("steamFirstColoum1", "二级指标-偏差值");
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put("steamFirstColoum2", "影响因素1-偏差值");
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put("steamFirstColoum3", "影响因素2-偏差值");
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put("steamFirstColoum4", "影响因素3-偏差值");
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put("steamFirstColoum5", "影响因素n-偏差值");
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}};
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private static final HashMap<String, Object> steamSecondColoumMap = new HashMap<String, Object>() {{
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put("steamSecondColoum0", "一级指标-偏差值");
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put("steamSecondColoum1", "二级指标-偏差值");
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put("steamSecondColoum2", "影响因素1-偏差值");
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put("steamSecondColoum3", "影响因素2-偏差值");
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put("steamSecondColoum4", "影响因素3-偏差值");
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put("steamSecondColoum5", "影响因素n-偏差值");
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}};
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private static final String jsonStr="{\"result\":{" +
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" \"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" +
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" \"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" +
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" \"steamFirstColoum0\":[[14,20],[14,30],[14,35]],\n" +
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" \"steamFirstColoum1\":[[10,5],[11,15],[21,20]],\n" +
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" \"steamFirstColoum2\":[[74,8],[36,18],[35,34]],\n" +
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" \"steamFirstColoum3\":[[24,67],[6,12],[19,21]],\n" +
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" \"steamFirstColoum4\":[[21,19],[22,31],[8,42]],\n" +
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" \"steamFirstColoum5\":[[11,45],[9,62],[18,34]],\n" +
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" \"steamSecondColoum0\":[[14,20],[14,50],[14,13]],\n" +
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" \"steamSecondColoum1\":[[11,27],[10,35],[22,16]],\n" +
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" \"steamSecondColoum2\":[[36,90],[35,34],[74,55]],\n" +
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" \"steamSecondColoum3\":[[6,66],[19,73],[21,31]],\n" +
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" \"steamSecondColoum4\":[[22,65],[8,22],[21,67]],\n" +
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" \"steamSecondColoum5\":[[9,29],[11,56],[18,61]],\n" +
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" \"steamHomePage\":[[663,617],[66.5,68.9]],\n" +
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" \"steamHomeIndex\":[[90.4,90.2],[80.3,78],[103,100],[280,270]],\n" +
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" \"steamHomeIndexInfo\":\"2月18日甲班：干熄焦产蒸汽量异常\",\n" +
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" \"steamHomeErr\":\"2月18日循环风机转速数据异常（无数据）\"}}";
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@Override
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public void run(String params) {
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logger.info("RunCokingTraceModelGXJTask，参数为：{}", params);
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try {
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Calendar calendar = Calendar.getInstance();
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calendar.set(Calendar.MILLISECOND, 0);
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calendar.set(Calendar.SECOND, 0);
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calendar.set(Calendar.MINUTE, 0);
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int hour = calendar.get(Calendar.HOUR_OF_DAY);
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Date startDate = calendar.getTime();
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Date endDate = calendar.getTime();
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String clock = "";
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String analyClass = "";
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if (hour >= 8 && hour < 16) {
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calendar.set(Calendar.HOUR_OF_DAY, 0);
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startDate = calendar.getTime();
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calendar.add(Calendar.HOUR_OF_DAY, 8);
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endDate = calendar.getTime();
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clock = DateUtils.format(startDate).concat("-").concat("A");
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analyClass = "甲班";
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} else if (hour >= 16 && hour < 24) {
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calendar.set(Calendar.HOUR_OF_DAY, 8);
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startDate = calendar.getTime();
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calendar.add(Calendar.HOUR_OF_DAY, 8);
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endDate = calendar.getTime();
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clock = DateUtils.format(startDate).concat("-").concat("B");
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analyClass = "乙班";
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} else if (hour >= 0 && hour < 8) {
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calendar.add(Calendar.DAY_OF_YEAR, -1);
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calendar.set(Calendar.HOUR_OF_DAY, 16);
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startDate = calendar.getTime();
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calendar.add(Calendar.HOUR_OF_DAY, 8);
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endDate = calendar.getTime();
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clock = DateUtils.format(startDate).concat("-").concat("B");
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analyClass = "丙班";
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}
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// 调用模型
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JSONObject jsonObject = JSONObject.parseObject(jsonStr);
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JSONObject result = (JSONObject) JSON.toJSON(jsonObject.get("result"));
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if (Objects.isNull(result)) {
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logger.info("模型结果为空");
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return;
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}
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// 保存报告
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String analyDate = DateUtils.format(startDate);
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String analyContent = result.getString("coalIndexInfo");
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String relId = cokingTraceReportService.save(process, reportName, analyDate, analyClass, clock, analyContent);
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// 保存一级分析指标
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saveAnalyInd(relId, process, analyDate, analyClass, analyContent);
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// 保存优化建议
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saveTraceSuggest(relId, process, clock, result);
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// 保存偏差值
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saveTraceDeviation(relId, process, clock, result);
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// 保存溯源指标
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cokingTraceIndService.saveTraceInd(relId, indType, clock);
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} catch (Exception ex) {
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logger.error("RunCokingTraceModelGXJTask运行异常");
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ex.printStackTrace();
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}
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logger.info("RunCokingTraceModelGXJTask运行完成");
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}
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public void saveTraceSuggest(String relId, String process, String clock, JSONObject result) {
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List<CokingTraceSuggestEntity> entityList = new ArrayList<>();
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for(int i=1;i<=2;i++){
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String steamTotal = result.get("steamTotal"+i).toString();
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if(StringUtils.isNotBlank(steamTotal)){
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CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
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suggestEntity.setRelId(relId);
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suggestEntity.setProcess(process);
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suggestEntity.setSugObj(i+"#");
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suggestEntity.setClock(clock);
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suggestEntity.setContent(steamTotal);
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suggestEntity.setCreateDate(new Date());
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entityList.add(suggestEntity);
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}
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}
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cokingTraceSuggestService.insert(entityList);
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}
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@Transactional
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public void saveTraceDeviation(String relId, String process, String clock, JSONObject result) {
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List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.STEAM_INDEX_CHARTCODE);
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Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));
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for(int i=0;i<=5;i++){
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String steamFirstColoum = result.get("steamFirstColoum"+i).toString();
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if(StringUtils.isNotBlank(steamFirstColoum)){
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JSONArray responseArr = JSON.parseArray(steamFirstColoum);
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List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
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for (int j = 0; j < responseArr.size(); j++) {
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JSONArray element = JSON.parseArray(responseArr.get(j).toString());
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CokingTraceDeviationEntity deviationEntity = new CokingTraceDeviationEntity();
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deviationEntity.setRelId(relId);
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deviationEntity.setProcess(process);
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deviationEntity.setClock(clock);
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deviationEntity.setSugObj("1#");
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deviationEntity.setGroupName(steamFirstColoumMap.get("steamFirstColoum"+i).toString());
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deviationEntity.setIndName(steamIndexMaps.get(element.get(0).toString()));
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deviationEntity.setIndValue(element.get(1).toString());
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deviationEntity.setCreateDate(new Date());
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entityList.add(deviationEntity);
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}
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cokingTraceDeviationService.save(entityList);
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}
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}
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for(int i=0;i<=5;i++){
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String steamSecondColoum = result.get("steamSecondColoum"+i).toString();
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if(StringUtils.isNotBlank(steamSecondColoum)){
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JSONArray responseArr = JSON.parseArray(steamSecondColoum);
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List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
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for (int j = 0; j < responseArr.size(); j++) {
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JSONArray element = JSON.parseArray(responseArr.get(j).toString());
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CokingTraceDeviationEntity deviationEntity = new CokingTraceDeviationEntity();
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deviationEntity.setRelId(relId);
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deviationEntity.setProcess(process);
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deviationEntity.setClock(clock);
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deviationEntity.setSugObj("2#");
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deviationEntity.setGroupName(steamSecondColoumMap.get("steamSecondColoum" + i).toString());
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deviationEntity.setIndName(steamIndexMaps.get(element.get(0).toString()));
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deviationEntity.setIndValue(element.get(1).toString());
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deviationEntity.setCreateDate(new Date());
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entityList.add(deviationEntity);
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}
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cokingTraceDeviationService.save(entityList);
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}
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}
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}
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public void saveAnalyInd(String relId, String process, String analyDate, String analyClass, String analyContent) {
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if (StringUtils.isBlank(analyContent)) {
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logger.info("analyContent is null");
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return;
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}
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String[] analyContentArr = analyContent.split(";");
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List<CokingAnalyIndEntity> entityList = new ArrayList<>();
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for(int i=0;i<analyContentArr.length;i++){
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CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
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analyIndEntity.setRelId(relId);
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analyIndEntity.setAnalyType(process);
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analyIndEntity.setAnalyDate(analyDate);
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analyIndEntity.setAnalyClass(analyClass);
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analyIndEntity.setAnalyContent(analyContentArr[i]);
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analyIndEntity.setSort(i+1);
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entityList.add(analyIndEntity);
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}
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cokingAnalyIndService.save(entityList);
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}
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}
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