初始化influx公共模块项目

2024-06-27 11:46:52 +08:00
parent 71394ffdd6
commit 33a36e4f5e
125 changed files with 8117 additions and 4 deletions
--- a/src/main/java/com/njcn/influx/service/impl/DataFlickerServiceImpl.java
+++ b/src/main/java/com/njcn/influx/service/impl/DataFlickerServiceImpl.java
@@ -0,0 +1,95 @@
+package com.njcn.influx.service.impl;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.njcn.influx.imapper.DataFlickerMapper;
+import com.njcn.influx.pojo.dto.DataFlickerDTO;
+import com.njcn.influx.pojo.po.DataFlicker;
+import com.njcn.influx.query.InfluxQueryWrapper;
+import com.njcn.influx.service.DataFlickerService;
+import org.springframework.stereotype.Service;
+
+import javax.annotation.Resource;
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * @author hongawen
+ * @version 1.0.0
+ * @date 2023年05月05日 09:05
+ */
+@Service
+public class DataFlickerServiceImpl implements DataFlickerService {
+
+    @Resource
+    private DataFlickerMapper dataFlickerMapper;
+
+
+    @Override
+    public List<DataFlickerDTO> getDataFlicker(String lineIndex, String startTime, String endTime) {
+        //最小值
+        List<DataFlickerDTO> result1 ;
+        InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataFlicker.class, DataFlickerDTO.class);
+        influxQueryWrapper.eq(DataFlicker::getLineId, lineIndex)
+                .min(DataFlicker::getFluc)
+                .min(DataFlicker::getPlt)
+                .min(DataFlicker::getPst)
+                .groupBy(DataFlicker::getLineId,DataFlicker::getPhaseType,DataFlicker::getQualityFlag)
+                .between(DataFlicker::getTime, startTime, endTime);
+        result1 = dataFlickerMapper.getStatisticsByWraper(influxQueryWrapper);
+        result1.forEach(item -> {
+            item.setValueType("MIN");
+        });
+        //最大值
+        List<DataFlickerDTO> result2 ;
+        influxQueryWrapper.initSql();
+        influxQueryWrapper.eq(DataFlicker::getLineId, lineIndex)
+                .max(DataFlicker::getFluc)
+                .max(DataFlicker::getPlt)
+                .max(DataFlicker::getPst)
+                .groupBy(DataFlicker::getLineId,DataFlicker::getPhaseType,DataFlicker::getQualityFlag)
+                .between(DataFlicker::getTime, startTime, endTime);
+        result2 = dataFlickerMapper.getStatisticsByWraper(influxQueryWrapper);
+        result2.forEach(item -> {
+            item.setValueType("MAX");
+        });
+        //平均值
+        List<DataFlickerDTO> result3 ;
+        influxQueryWrapper.initSql();
+        influxQueryWrapper.eq(DataFlicker::getLineId, lineIndex)
+                .mean(DataFlicker::getFluc)
+                .mean(DataFlicker::getPlt)
+                .mean(DataFlicker::getPst)
+                .groupBy(DataFlicker::getLineId,DataFlicker::getPhaseType,DataFlicker::getQualityFlag)
+                .between(DataFlicker::getTime, startTime, endTime);
+        result3 = dataFlickerMapper.getStatisticsByWraper(influxQueryWrapper);
+        result3.forEach(item -> {
+            item.setValueType("AVG");
+        });
+        List<DataFlickerDTO> result4 ;
+        influxQueryWrapper.initSql();
+        influxQueryWrapper.eq(DataFlicker::getLineId, lineIndex)
+                .percentile(DataFlicker::getFluc, 95)
+                .percentile(DataFlicker::getPlt, 95)
+                .percentile(DataFlicker::getPst, 95)
+                .groupBy(DataFlicker::getLineId,DataFlicker::getPhaseType,DataFlicker::getQualityFlag)
+                .between(DataFlicker::getTime, startTime, endTime);
+        //CP95值
+        result4 = dataFlickerMapper.getStatisticsByWraper(influxQueryWrapper);
+        result4.forEach(item -> {
+            item.setValueType("CP95");
+        });
+        List<DataFlickerDTO> result = new ArrayList<>();
+        result.addAll(result1);
+        result.addAll(result2);
+        result.addAll(result3);
+        result.addAll(result4);
+        ObjectMapper objectMapper = new ObjectMapper();
+        try {
+            System.out.println(objectMapper.writeValueAsString(result));
+        } catch (JsonProcessingException e) {
+            throw new RuntimeException(e);
+        }
+        return result;
+    }
+}