From 56e254f4c6a3eab1218a4fbea3f60609d209ff95 Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期五, 27 六月 2025 14:19:26 +0800
Subject: [PATCH] 鞍信平均值
---
iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CalculateHandle.java | 194 ++++++++++++++++++++++++++++++++++++++++++------
1 files changed, 169 insertions(+), 25 deletions(-)
diff --git a/iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CalculateHandle.java b/iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CalculateHandle.java
index c45c633..08a2ebb 100644
--- a/iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CalculateHandle.java
+++ b/iailab-module-data/iailab-module-data-biz/src/main/java/com/iailab/module/data/point/collection/handler/CalculateHandle.java
@@ -1,20 +1,33 @@
package com.iailab.module.data.point.collection.handler;
+import com.alibaba.fastjson.JSON;
+import com.alibaba.fastjson.JSONObject;
+import com.iailab.framework.common.util.string.StrUtils;
+import com.iailab.module.data.common.enums.CommonConstant;
import com.iailab.module.data.common.enums.DataTypeEnum;
import com.iailab.module.data.common.enums.JsErrorCode;
import com.iailab.module.data.common.utils.JavaScriptHandler;
+import com.iailab.module.data.enums.DataPointFreqEnum;
+import com.iailab.module.data.point.collection.PointCollector;
import com.iailab.module.data.point.collection.utils.GenInfluxPointValueUtils;
import com.iailab.module.data.point.dto.DaPointDTO;
import com.iailab.module.data.point.service.DaPointService;
import com.iailab.module.data.influxdb.pojo.InfluxPointValuePOJO;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
+
import javax.annotation.Resource;
+import javax.validation.constraints.Max;
+
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
import java.math.BigDecimal;
import java.util.*;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.stream.Stream;
/**
* 计算点处理
@@ -37,45 +50,137 @@
private ConstantHandle constantHandle;
@Resource
+ private CumulateHandle cumulateHandle;
+
+ @Resource
+ private ExtremalHandle extremalHandle;
+
+ @Resource
private JavaScriptHandler javaScriptHandler;
- public static final String regex = "[+\\-\\*/()\\&\\|\\>\\<]";
+ @Autowired
+ private RedisTemplate<String, Object> redisTemplate;
- public List<InfluxPointValuePOJO> handle(Date collectTime, List<DaPointDTO> dtos, Map<String, Object> dataMap) {
+ public final static String regex = "[+\\-\\*/()\\&\\|\\>\\<]";
+
+ private final static String POINT_PREFIX = "C";
+
+ private final static String PENDING_FLAG = "pending";
+
+ private final static int MAX_RECURSION = 10;
+
+ public List<InfluxPointValuePOJO> handle(Date collectTime, List<DaPointDTO> dtos, Map<String, Object> dataMap, List<String> listGood, List<String> listBad) {
List<InfluxPointValuePOJO> result = new ArrayList<>();
try {
log.info("计算点处理开始");
if (CollectionUtils.isEmpty(dtos)) {
return result;
}
+ Map<String, DaPointDTO> pendingMap = new HashMap<>();
+ log.info(JSON.toJSONString(listBad));
dtos.forEach(dto -> {
try {
- Object value = singleCompute(dto, dataMap);
- InfluxPointValuePOJO pojo = GenInfluxPointValueUtils.getByPoint(dto, value);
- pojo.setTimestamp(collectTime.toInstant());
- result.add(pojo);
+ Object rawValue = singleCompute(dto, dataMap, listGood, listBad);
+ if (PENDING_FLAG.equals(rawValue.toString())) {
+ pendingMap.put(dto.getPointNo(), dto);
+ } else {
+ BigDecimal coefficient = dto.getUnittransfactor() == null ? BigDecimal.ONE : dto.getUnittransfactor();
+ BigDecimal calValue = new BigDecimal(rawValue.toString()).multiply(coefficient);
+ if (dto.getMaxValue() != null && calValue.compareTo(dto.getMaxValue()) > 0) {
+ calValue = dto.getMaxValue();
+ } else if (dto.getMinValue() != null && calValue.compareTo(dto.getMinValue()) < 0) {
+ calValue = dto.getMinValue();
+ }
+ dataMap.put(dto.getPointNo(), calValue);
+ InfluxPointValuePOJO pojo = GenInfluxPointValueUtils.getByPoint(dto, calValue);
+ pojo.setTimestamp(GenInfluxPointValueUtils.getByMin(collectTime, DataPointFreqEnum.getEumByCode(dto.getMinfreqid())));
+ result.add(pojo);
+ }
} catch (Exception ex) {
ex.printStackTrace();
log.info("计算点异常！PointNo=" + dto.getPointNo());
}
});
- log.info("计算点处理结束");
+
+ Map<DaPointDTO, Object> valueResult = new HashMap<>();
+ handPending(pendingMap, dataMap, listGood, listBad, valueResult, 1);
+ log.info("valueResult size=" + valueResult.size());
+ valueResult.forEach((key, value) -> {
+ InfluxPointValuePOJO pojo = GenInfluxPointValueUtils.getByPoint(key, value);
+ pojo.setTimestamp(GenInfluxPointValueUtils.getByMin(collectTime, DataPointFreqEnum.getEumByCode(key.getMinfreqid())));
+ result.add(pojo);
+ });
+ log.info("计算点处理结束");
} catch (Exception ex) {
ex.printStackTrace();
log.info("计算点处理异常！");
}
return result;
}
+ private void handPending(Map<String, DaPointDTO> pendingMap, Map<String, Object> dataMap,
+ List<String> listGood, List<String> listBad, Map<DaPointDTO, Object> valueResult, int count) {
- private Object singleCompute(DaPointDTO dto, Map<String, Object> dataMap) {
+ Map<String, DaPointDTO> tempMap = new HashMap<>();
+ if (CollectionUtils.isEmpty(pendingMap)) {
+ log.info("pendingMap is empty");
+ return;
+ }
+ log.info("处理包含计算点的");
+ log.info("handPending count=" + count);
+ if (count > MAX_RECURSION) {
+ log.info("最多递归10次");
+ return;
+ }
+ count = count + 1;
+ for(String key : pendingMap.keySet()) {
+ DaPointDTO dto = pendingMap.get(key);
+ Object rawValue = singleCompute(dto, dataMap, listGood, listBad);
+ if (PENDING_FLAG.equals(rawValue.toString())) {
+ tempMap.put(key, dto);
+ } else {
+ BigDecimal coefficient = dto.getUnittransfactor() == null ? BigDecimal.ONE : dto.getUnittransfactor();
+ BigDecimal calValue = new BigDecimal(rawValue.toString()).multiply(coefficient);
+ if (dto.getMaxValue() != null && calValue.compareTo(dto.getMaxValue()) > 0) {
+ calValue = dto.getMaxValue();
+ } else if (dto.getMinValue() != null && calValue.compareTo(dto.getMinValue()) < 0) {
+ calValue = dto.getMinValue();
+ }
+ dataMap.put(dto.getPointNo(), calValue);
+ valueResult.put(dto, calValue);
+ }
+ }
+ if (!CollectionUtils.isEmpty(tempMap)) {
+ this.handPending(tempMap, dataMap, listGood, listBad, valueResult, count);
+ }
+ }
+
+ private Object singleCompute(DaPointDTO dto, Map<String, Object> dataMap, List<String> listGood, List<String> listBad) {
String expression = dto.getExpression();
+ log.info("PointNo=" + dto.getPointNo() + ";SourceExpression=" + expression);
String[] arr = expression.split(regex);
+ // 去掉arr中的空格
+ arr = Stream.of(arr).filter(StringUtils::isNotBlank).toArray(String[]::new);
+ // 判断arr都在dataMap中包含
+ /*if (!Arrays.stream(arr).allMatch(dataMap::containsKey)) {
+ log.info("dataMap not contains key");
+ listBad.add(dto.getPointNo());
+ return CommonConstant.BAD_VALUE;
+ }*/
for (int i = 0; i < arr.length; i++) {
String s = arr[i];
if (StringUtils.isNotBlank(s) && dataMap.containsKey(s)) {
- expression = expression.replace(s, dataMap.get(s).toString());
+ // 对每个数加（），否则负值报错
+ expression = expression.replace(s, "(" + dataMap.get(s).toString() + ")");
+ } else if(StringUtils.isNotBlank(s) && s.trim().startsWith(POINT_PREFIX)) {
+ log.info("包含计算点，先挂起");
+ log.info("dataMap=" + JSONObject.toJSONString(dataMap));
+ return PENDING_FLAG;
+ } else if(StringUtils.isNotBlank(s) && !dataMap.containsKey(s)) {
+ log.info("dataMap not contains key " + s);
+ listBad.add(dto.getPointNo());
+ return CommonConstant.BAD_VALUE;
}
}
expression = expression.replace("&", "&&");
@@ -83,24 +188,27 @@
expression = expression.replace("False", "false");
expression = expression.replace("True", "true");
log.info("PointNo=" + dto.getPointNo() + ";expression=" + expression);
+
String result = javaScriptHandler.eval(expression);
log.info("result=" + result);
- if (result == null) {
- return null;
- } else if (result.contains(JsErrorCode.Infinity.name()) ||
- result.contains(JsErrorCode.NaN.name())) {
- log.info("计算异常，使用默认值");
- return dto.getDefaultValue() == null ? BigDecimal.ZERO : dto.getDefaultValue();
+ if (result == null || result.contains(JsErrorCode.Infinity.name()) || result.contains(JsErrorCode.NaN.name())) {
+ listBad.add(dto.getPointNo());
+ return CommonConstant.BAD_VALUE;
} else {
if (DataTypeEnum.INT.getCode().equals(dto.getDataType())) {
+ listGood.add(dto.getPointNo());
return new BigDecimal(result).intValue();
} else if (DataTypeEnum.FLOAT.getCode().equals(dto.getDataType())) {
- return new BigDecimal(result).setScale(10, BigDecimal.ROUND_UP).doubleValue();
+ listGood.add(dto.getPointNo());
+ return new BigDecimal(result).setScale(4, BigDecimal.ROUND_UP).doubleValue();
} else if (DataTypeEnum.BOOLEAN.getCode().equals(dto.getDataType())) {
+ listGood.add(dto.getPointNo());
return Boolean.parseBoolean(result);
+ } else {
+ listBad.add(dto.getPointNo());
+ throw new RuntimeException("计算异常，未知数据类型");
}
}
- return result;
}
public Map<String, Object> getCurrent(List<String> pointNos) {
@@ -110,12 +218,21 @@
return data;
}
pointMathList.forEach(item -> {
- data.put(item.getPointNo(), singleCompute(item));
+ Object value = CommonConstant.BAD_VALUE;
+ if (redisTemplate.hasKey(PointCollector.PV + item.getPointNo())) {
+ value = redisTemplate.opsForValue().get(PointCollector.PV + item.getPointNo());
+ } else {
+ Object rawValue = singleCompute(item, 1);
+ BigDecimal coefficient = item.getUnittransfactor() == null ? BigDecimal.ONE : item.getUnittransfactor();
+ value = new BigDecimal(rawValue.toString()).multiply(coefficient);
+ }
+ data.put(item.getPointNo(), value);
});
return data;
}
- private Object singleCompute(DaPointDTO dto) {
+ private Object singleCompute(DaPointDTO dto, int count) {
+ String result = CommonConstant.BAD_VALUE.toString();
Map<String, Object> dataMap = new HashMap<>();
String expression = dto.getExpression();
String[] arr = expression.split(regex);
@@ -128,26 +245,53 @@
pointNos.add(s);
dataMap.putAll(measureHandle.getCurrent(pointNos));
dataMap.putAll(constantHandle.getCurrent(pointNos));
- expression = expression.replace(s, dataMap.get(s).toString());
+ dataMap.putAll(cumulateHandle.getCurrent(pointNos));
+ dataMap.putAll(extremalHandle.getCurrent(pointNos));
+ if (s.trim().startsWith(POINT_PREFIX)) {
+ log.info("计算点递归查询");
+ List<DaPointDTO> pointMathList = daPointService.getMathPoint(pointNos);
+ if (CollectionUtils.isEmpty(pointMathList)) {
+ return result;
+ }
+ log.info("count = " + count);
+ if (count > MAX_RECURSION) {
+ return result;
+ }
+ Object v = this.singleCompute(pointMathList.get(0), count);
+ dataMap.put(s, v);
+ count = count + 1;
+ }
+ if (dataMap.get(s) == null) {
+ log.info("计算点数据异常");
+ log.info("pointNo=" + dto.getPointNo() + ";dataMap.key=" + s);
+ return CommonConstant.BAD_VALUE;
+ }
+ String valueStr = dataMap.get(s).toString();
+ if (StrUtils.isNumeric(valueStr) && new BigDecimal(valueStr).compareTo(CommonConstant.BAD_VALUE) == 0) {
+ log.info("BAD_VALUE:" + s);
+ }
+ if (StrUtils.isNumeric(valueStr) && new BigDecimal(valueStr).compareTo(BigDecimal.ZERO) < 0) {
+ valueStr = "(" + valueStr + ")";
+ }
+ expression = expression.replace(s, valueStr);
}
expression = expression.replace("&", "&&");
expression = expression.replace("|", "||");
expression = expression.replace("False", "false");
expression = expression.replace("True", "true");
log.info("PointNo=" + dto.getPointNo() + ";expression=" + expression);
- String result = javaScriptHandler.eval(expression);
+ result = javaScriptHandler.eval(expression);
log.info("result=" + result);
if (result == null) {
- return null;
- } else if (result.contains(JsErrorCode.Infinity.name()) ||
- result.contains(JsErrorCode.NaN.name())) {
+ return CommonConstant.BAD_VALUE;
+ } else if (result.contains(JsErrorCode.Infinity.name()) || result.contains(JsErrorCode.NaN.name())) {
log.info("计算异常，使用默认值");
return dto.getDefaultValue() == null ? BigDecimal.ZERO : dto.getDefaultValue();
} else {
if (DataTypeEnum.INT.getCode().equals(dto.getDataType())) {
return new BigDecimal(result).intValue();
} else if (DataTypeEnum.FLOAT.getCode().equals(dto.getDataType())) {
- return new BigDecimal(result).setScale(10, BigDecimal.ROUND_UP).doubleValue();
+ return new BigDecimal(result).setScale(2, BigDecimal.ROUND_UP).doubleValue();
} else if (DataTypeEnum.BOOLEAN.getCode().equals(dto.getDataType())) {
return Boolean.parseBoolean(result);
}
--
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