96 lines
3.8 KiB
Java
96 lines
3.8 KiB
Java
package com.njcn.influx.service.impl;
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import com.fasterxml.jackson.core.JsonProcessingException;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.njcn.influx.imapper.DataFlickerMapper;
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import com.njcn.influx.pojo.dto.DataFlickerDTO;
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import com.njcn.influx.pojo.po.DataFlicker;
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import com.njcn.influx.query.InfluxQueryWrapper;
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import com.njcn.influx.service.DataFlickerService;
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import org.springframework.stereotype.Service;
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import javax.annotation.Resource;
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import java.util.ArrayList;
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import java.util.List;
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/**
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* @author hongawen
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* @version 1.0.0
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* @date 2023年05月05日 09:05
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*/
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@Service
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public class DataFlickerServiceImpl implements DataFlickerService {
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@Resource
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private DataFlickerMapper dataFlickerMapper;
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@Override
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public List<DataFlickerDTO> getDataFlicker(String lineIndex, String startTime, String endTime) {
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//最小值
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List<DataFlickerDTO> result1 ;
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InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataFlicker.class, DataFlickerDTO.class);
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influxQueryWrapper.eq(DataFlicker::getLineId, lineIndex)
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.min(DataFlicker::getFluc)
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.min(DataFlicker::getPlt)
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.min(DataFlicker::getPst)
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.groupBy(DataFlicker::getLineId,DataFlicker::getPhaseType,DataFlicker::getQualityFlag)
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.between(DataFlicker::getTime, startTime, endTime);
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result1 = dataFlickerMapper.getStatisticsByWraper(influxQueryWrapper);
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result1.forEach(item -> {
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item.setValueType("MIN");
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});
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//最大值
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List<DataFlickerDTO> result2 ;
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influxQueryWrapper.initSql();
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influxQueryWrapper.eq(DataFlicker::getLineId, lineIndex)
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.max(DataFlicker::getFluc)
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.max(DataFlicker::getPlt)
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.max(DataFlicker::getPst)
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.groupBy(DataFlicker::getLineId,DataFlicker::getPhaseType,DataFlicker::getQualityFlag)
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.between(DataFlicker::getTime, startTime, endTime);
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result2 = dataFlickerMapper.getStatisticsByWraper(influxQueryWrapper);
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result2.forEach(item -> {
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item.setValueType("MAX");
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});
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//平均值
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List<DataFlickerDTO> result3 ;
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influxQueryWrapper.initSql();
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influxQueryWrapper.eq(DataFlicker::getLineId, lineIndex)
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.mean(DataFlicker::getFluc)
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.mean(DataFlicker::getPlt)
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.mean(DataFlicker::getPst)
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.groupBy(DataFlicker::getLineId,DataFlicker::getPhaseType,DataFlicker::getQualityFlag)
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.between(DataFlicker::getTime, startTime, endTime);
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result3 = dataFlickerMapper.getStatisticsByWraper(influxQueryWrapper);
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result3.forEach(item -> {
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item.setValueType("AVG");
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});
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List<DataFlickerDTO> result4 ;
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influxQueryWrapper.initSql();
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influxQueryWrapper.eq(DataFlicker::getLineId, lineIndex)
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.percentile(DataFlicker::getFluc, 95)
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.percentile(DataFlicker::getPlt, 95)
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.percentile(DataFlicker::getPst, 95)
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.groupBy(DataFlicker::getLineId,DataFlicker::getPhaseType,DataFlicker::getQualityFlag)
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.between(DataFlicker::getTime, startTime, endTime);
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//CP95值
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result4 = dataFlickerMapper.getStatisticsByWraper(influxQueryWrapper);
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result4.forEach(item -> {
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item.setValueType("CP95");
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});
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List<DataFlickerDTO> result = new ArrayList<>();
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result.addAll(result1);
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result.addAll(result2);
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result.addAll(result3);
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result.addAll(result4);
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ObjectMapper objectMapper = new ObjectMapper();
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try {
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System.out.println(objectMapper.writeValueAsString(result));
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} catch (JsonProcessingException e) {
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throw new RuntimeException(e);
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}
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return result;
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}
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}
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