新增数据分析模块

feiyu02

2023-10-20 3371ed856d8712732b3f46e30e41e652ff5d7781

 src/test/java/com/flightfeather/monitor/QianduanApplicationTests.java

@@ -1,14 +1,12 @@
package com.flightfeather.monitor;

import com.flightfeather.monitor.dustexceptionanalysis.database.DustRepository;
import com.flightfeather.monitor.pojo.DustExceptionSetting;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;

import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.Date;
import java.util.Locale;

@SpringBootTest
class QianduanApplicationTests {
@@ -29,26 +27,6 @@

            System.out.print(date1);
            //return df2.format(date1);

    }
    @Autowired
    private DustRepository dustRepository;
    @Test
    void readSiteData(){
//        DustExceptionSetting dustExceptionSetting = DustExceptionSetting.getInstance();
//        读取异常分析判定的配置
        List<DustExceptionSetting> list= dustRepository.readExceptionSetting();
        System.out.println("11111");

        System.out.println(list.size());
        System.out.println(list.get(0));


//        List<DustSiteData> dustData = dustRepository.getDustData("2023-10-01 00:00:00","2023-10-01 01:00:00");
////      System.out.println(dustData.get(0).getMnCode());
//        int a  = Exceeding.main(dustData);
//        System.out.println(a);


    }