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@ -1,11 +1,18 @@ |
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package com.daqing.financial.hrauth.service.impl; |
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import com.daqing.financial.hrauth.model.AccessRecordsObjRes; |
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import com.daqing.financial.hrauth.model.HrmsAccessRecordsLog; |
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import com.daqing.financial.hrauth.dao.HrmsAccessRecordsLogMapper; |
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import com.daqing.financial.hrauth.service.IHrmsAccessRecordsLogService; |
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import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl; |
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import io.swagger.models.auth.In; |
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import org.springframework.beans.factory.annotation.Autowired; |
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import org.springframework.stereotype.Service; |
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import java.text.SimpleDateFormat; |
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import java.util.*; |
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import java.util.stream.Collectors; |
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/** |
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* <p> |
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* 访问记录表 服务实现类 |
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@ -17,4 +24,215 @@ import org.springframework.stereotype.Service; |
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@Service |
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public class HrmsAccessRecordsLogServiceImpl extends ServiceImpl<HrmsAccessRecordsLogMapper, HrmsAccessRecordsLog> implements IHrmsAccessRecordsLogService { |
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} |
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@Autowired |
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private HrmsAccessRecordsLogMapper hrmsAccessRecordsLogMapper; |
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@Override |
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public List<HrmsAccessRecordsLog> queryAccessRecords() { |
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SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd"); |
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String dateTime=sdf.format(new Date()); |
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//显示当天前五条最新数据
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List<HrmsAccessRecordsLog> list = hrmsAccessRecordsLogMapper.queryAccessRecords(dateTime); |
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return list; |
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} |
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@Override |
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public Map queryVisitNum() { |
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SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd"); |
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String dateTime=sdf.format(new Date()); |
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//查询当天PC端登录和小程序登录总条数
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int countPC = hrmsAccessRecordsLogMapper.queryAccessCountPC(dateTime); |
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int countAPP = hrmsAccessRecordsLogMapper.queryAccessCountAPP(dateTime); |
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int countSum = countPC+countAPP; |
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Map<String,Integer> map = new HashMap<String,Integer>(); |
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map.put("countPC",countPC); |
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map.put("countAPP",countAPP); |
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map.put("countSum",countSum); |
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return map; |
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} |
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@Override |
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public Map queryLoginNum() { |
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SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd"); |
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String dateTime=sdf.format(new Date()); |
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//今日登录用户总数
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int userCount = hrmsAccessRecordsLogMapper.queryUserCount(dateTime); |
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Map<String,Integer> map = new HashMap<String,Integer>(); |
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map.put("userCount",userCount); |
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return map; |
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} |
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@Override |
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public Map queryLoginOnline() { |
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SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd"); |
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String dateTime=sdf.format(new Date()); |
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//今日登录用户时间点
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List<String> timeList = hrmsAccessRecordsLogMapper.queryLoginTime(dateTime); |
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System.out.println("timeList=============="+timeList); |
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//timeList==============[11, 12, 14, 15, 16, 17]
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//今日登录用户不同时间点登录总数
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List<Integer> approvalList = hrmsAccessRecordsLogMapper.queryLoginSum(dateTime); |
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System.out.println("approvalList================"+approvalList); |
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//approvalList================[1, 1, 2, 3, 1, 1]
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List<AccessRecordsObjRes> loginObj = hrmsAccessRecordsLogMapper.queryLoginObj(dateTime); |
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System.out.println("loginObj================"+loginObj); |
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//loginObj================[AccessRecordsObjRes(loginTime=11:00, loginSum=1), AccessRecordsObjRes(loginTime=12:00, loginSum=1), AccessRecordsObjRes(loginTime=14:00, loginSum=1), AccessRecordsObjRes(loginTime=15:00, loginSum=3), AccessRecordsObjRes(loginTime=16:00, loginSum=2)]
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List list = new ArrayList(); |
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for (String str:timeList) { |
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//如果第一个为奇数，就取它的偶数时间点
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if(Integer.parseInt(str)%2!=0){ |
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int a = Integer.parseInt(str)-1; |
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list.add(String.valueOf(a)); |
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}else{ |
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list.add(str); |
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} |
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} |
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System.out.println("timeList2=============="+list); |
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//timeList2==============[10, 12, 14, 14, 16, 16]
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Map<Integer,String> same = same(list); |
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System.out.println("same==============="+same); |
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//14 重复,行： 3,4
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//16 重复,行： 5,6
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List<String> strList = new ArrayList<>(); |
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Iterator<Integer> iter = same.keySet().iterator(); |
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while(iter.hasNext()){ |
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Integer key=iter.next(); |
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String value = same.get(key); |
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System.out.println(key+" "+value); |
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strList.add(value); |
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} |
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Collections.sort(strList); |
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System.out.println("strListSort============="+strList); |
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//strList=============[8,9, 2,3, 4,5, 6,7]
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//approvalList================[2, 1, 2, 12, 2, 3, 1, 1, 1, 1]
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//[10, 12, 14, 16, 18, 22]
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List list2 = new ArrayList(); |
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//遍历每一个approvalList,取出它们对应的下标
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outer:for(int i=0;i<approvalList.size();i++){ |
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for(int j=0;j<strList.size();j++){ |
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if(strList.get(j).contains(String.valueOf(i))){ |
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String s = strList.get(j); |
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String[] split = s.split(","); |
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Integer sum =0; |
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for(String str:split){ |
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Integer a =approvalList.get(Integer.parseInt(str)); |
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sum = sum+a; |
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} |
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list2.add(sum); |
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int length = split.length; |
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if(i+length < approvalList.size()){ |
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i=i+length; |
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continue; |
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}else{//结束所有循环
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break outer; |
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} |
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}else{//不包含情况下
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//list2.add(approvalList.get(i));
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continue; |
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} |
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} |
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list2.add(approvalList.get(i)); |
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} |
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System.out.println("list2=============="+list2); |
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//去重
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List distinctList=(List) list.stream().distinct().collect(Collectors.toList()); |
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System.out.println(distinctList); |
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//[10, 12, 14, 16]
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Map<String, List> map = new HashMap<>(); |
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map.put("timeList",distinctList); |
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map.put("numList",list2); |
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return map; |
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} |
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//查找list中的重复数据，并得到重复数据索引位置
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public static Map same(List<String> list) { |
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Map<Integer, String> map = new HashMap<Integer, String>(); |
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Map map2 = new HashMap(); |
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for (int i = 0; i < list.size(); i++) { |
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Integer key = Integer.parseInt(list.get(i)); |
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String old = map.get(key); |
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if (old != null) { |
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map.put(key, old + "," + (i)); |
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} else { |
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map.put(key, "" + (i)); |
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} |
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} |
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Iterator<Integer> it = map.keySet().iterator(); |
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while (it.hasNext()) { |
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Integer key = it.next(); |
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String value = map.get(key); |
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if (value.indexOf(",") != -1) { |
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System.out.println(key + " 重复,行： " + value); |
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map2.put(key,value); |
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} |
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} |
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return map2; |
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} |
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@Override |
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public Map queryLoginOnline2() { |
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SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd"); |
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String dateTime=sdf.format(new Date()); |
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List<AccessRecordsObjRes> accessList = hrmsAccessRecordsLogMapper.queryLoginObj(dateTime); |
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System.out.println("accessList=============="+accessList); |
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//获取当前时间点小时
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SimpleDateFormat sdf2 = new SimpleDateFormat("HH"); |
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String hour=sdf2.format(new Date()); |
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int dayHour = Integer.parseInt(hour); |
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Map map = new HashMap(); |
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List list = new ArrayList(); |
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List list2 = new ArrayList(); |
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//首先通过for循环遍历所有的偶数
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for(int i=0;i<dayHour;i=i+2){ |
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//通过stream.filter()过滤时间段属性,access即为0对应的0->1时间段以及对应登录人数，或者2对应的2->3时间段以及对应的登录人数
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String s1 = frontCompWithZore(2, i); |
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String s2 = frontCompWithZore(2, i+1); |
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List<AccessRecordsObjRes> access = accessList.stream() |
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.filter(s->s.getLoginTime().equals(s1) || s.getLoginTime().equals(s2)) |
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.collect(Collectors.toList()); |
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System.out.println("access==========="+access); |
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//获取对应的偶数时间段以及对应的登录用户数
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String loginTime=null; |
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for (AccessRecordsObjRes res:access) { |
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loginTime = s1; |
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Integer loginSum = res.getLoginSum(); |
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res.setLoginSum(loginSum); |
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} |
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int sum = access.stream().mapToInt(AccessRecordsObjRes::getLoginSum).sum(); |
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if(sum==0){ |
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loginTime=s1; |
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} |
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list.add(loginTime); |
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list2.add(sum); |
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} |
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map.put("loginTime",list); |
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map.put("loginSum",list2); |
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return map; |
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} |
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/** |
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* 将元数据前补零，补后的总长度为指定的长度，以字符串的形式返回 |
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* 重组后的数据 |
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*/ |
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public static String frontCompWithZore(int formatLength,int formatNumber) { |
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/** |
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* 0 指前面补充零 |
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* formatLength 字符总长度为 formatLength |
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* inputNumber 格式化数字 |
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* d 代表为正数。 |
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*/ |
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String newString = String.format("%0" + formatLength + "d", formatNumber); |
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return newString; |
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} |
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} |
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river
4 years ago