一、功能需求

有个树状组件,展示区域层级,每个区域节点需要展示该地区下的统计信息

从来没做过,给我整不会了属实是

二、功能分析

原型有功能和老系统代码,查看源码后发现的结构框架

1、树组件是自己用ul + li 封装的,牛逼

2、数据加载逻辑是: 先加载区域树接口,然后加载区域所有统计数据的接口,

  再对树或者统计数据遍历,对节点进行赋值,完成渲染

3、统计数据的接口只提供有数据的区域

三、我的实现:

我菜逼写不来,想了想还是拿el-tree改改样式来实现

1、前端实现样式

<el-tree
v-show="treeToggleFlag"
ref="treeRef2"
class="tree-expanded"
node-key="regionCode"
:default-expanded-keys="['360000']"
highlight-current
:expand-on-click-node="false"
:data="treeData"
:props="treeProps"
@node-click="handleTreeNodeClick"
>
<span slot-scope="{ node, data }" class="custom-tree-node2">
<div class="region-bar"><span class="region-label">{{ node.label }}</span> <span class="link-color">数据统计</span></div>
<div class="statistic-panel">
<el-row :gutter="10">
<el-col :span="12">
<el-statistic group-separator="," :precision="2" :value="data.licenseCount" title="车牌号码" />
</el-col>
<el-col :span="12">
<el-statistic group-separator="," :precision="2" :value="data.obuCount" title="ETC/MTC" />
</el-col>
</el-row>
<el-row :gutter="10" style="margin-top: 10px;">
<el-col :span="12">
<el-statistic group-separator="," :precision="2" :value="data.apCount" title="行车记录仪" />
</el-col>
<el-col :span="12">
<el-statistic group-separator="," :precision="2" :value="data.bleCount" title="车载蓝牙" />
</el-col>
</el-row>
<el-row :gutter="10" style="margin-top: 10px;">
<el-col :span="12">
<el-statistic group-separator="," :precision="2" :value="data.allCount" title="设备总数" />
</el-col>
<el-col :span="12">
<el-statistic title="设备在线率">
<template slot="formatter">
{{ data.onlineRatio }}
</template>
</el-statistic>
</el-col>
</el-row>
</div>
</span>
</el-tree>

组件需要的变量:

treeToggleFlag: false,
treeData: [],
treeProps: {
label: 'regionName',
children: 'subRegions'
},

点击事件:

handleTreeNodeClick(region, val2) {
console.log(region, val2)
this.currentRegion = { code: region.regionCode, level: region.levelNo }
this.initializeOverviewData()
this.trIdx = 0
const option = this.tendencyRangeOption[this.trIdx]
this.tendencyRangeChoose(option, this.trIdx)
},

修改的样式:

/* - - - - - - - - - - - 展开的树节点样式 - - - - - - - - - - - */
.custom-tree-node2 {
display: block;
width: 100%;
/*flex: 1;*/
/*display: flex;*/
/*align-items: center;*/
/*justify-content: space-between;*/
/*font-size: 14px;*/
/*color: white;*/
/*padding-right: 8px;*/
/*border: 1px dashed black;*/
}
.custom-tree-node2 .region-bar {
width: 100%;
flex: 1;
display: flex;
align-items: center;
justify-content: space-between;
font-size: 14px;
padding-right: 8px;
}
.custom-tree-node2 .statistic-panel {
width: 100%;
height: 100%;
margin-top: 10px;
}
.custom-tree-node2 .region-bar .region-label {
color: white;
font-size: 14px;
}
/*.custom-tree-node2 .region-bar .region-statistic {*/
/*color: rgb(102, 177, 255);*/
/*}*/
/* 节点内容高度 */
/deep/ .tree-expanded .el-tree-node__content {
height: 180px;
width: 100%;
border-bottom: #b8b9c226 1px dashed;
background-color: #1A1F3E;
}
/* 点击选中的节点 */
/deep/ .el-tree-node:focus > .el-tree-node__content {
background-color: #024588;
}
/* 高亮节点颜色 */
/deep/ .el-tree--highlight-current .el-tree-node.is-current>.el-tree-node__content {
background-color: #024588;
}
/* - - - - - - - - - - - 展开的树节点样式 - - - - - - - - - - - */
/* 没有展开且有子节点 */
/deep/ .el-tree .el-icon-caret-right:before {
background: url("./../../../assets/image/draw-out.png") no-repeat 0 0;
content: "";
display: inline-block;
width: 16px;
height: 16px;
margin-left: 3px;
background-size: 16px 16px;
}
/* 已经展开且有子节点 */
/deep/ .el-tree .el-tree-node__expand-icon.expanded.el-icon-caret-right:before {
background: url("./../../../assets/image/draw-back.png") no-repeat 0 0;
content: "";
display: inline-block;
width: 16px;
height: 16px;
transform: rotate(-90deg);
background-size: 16px 16px;
}
/* 没有子节点 */
/deep/ .el-tree .el-tree-node__expand-icon.is-leaf::before {
background: none;
}
/* 统计数据样式 */
/deep/ .custom-tree-node2 .statistic-panel .el-statistic .con .number { color: white; font-size: 18px; }
/deep/ .custom-tree-node2 .statistic-panel .el-statistic .head { font-size: 13px; color: #989AA8; }

  

实现效果:

做不到完全一样,但是想表达的东西到位了,我尽力了

2、数据来源解决

Java接口:

/**
* @author OnCloud9
* @date 2023/9/25 15:18
* @description
* @params []
* @return java.util.Map<java.lang.String,java.util.Map<java.lang.String,java.lang.Long>>
*/
@GetMapping("/region-count-data")
public Map<String, List<Map<String, Object>>> getStatisticDataRegionCountData() {
return statisticDataService.getStatisticDataRegionCountData();
}

Service:

@Override
public Map<String, List<Map<String, Object>>> getStatisticDataRegionCountData() {
/* distinct 获取存在数据的区域,无数据区域不查询 */
Calendar calendar = Calendar.getInstance();
calendar.add(Calendar.DAY_OF_MONTH, -1);
Date previousDate = calendar.getTime();
String formatDate = DateUtil.format(previousDate, "yyyy-MM-dd");
/* 查找当日统计的区域 */
List<Map<String, Object>> regionData1 = obuStatisticService.selectAllRegionData(formatDate);
List<Map<String, Object>> regionData2 = obuTDeviceService.selectAllRegionData();
Map<String, List<Map<String, Object>>> result = new HashMap<>();
result.put("list1", regionData1);
result.put("list2", regionData2);
return result;
}

统计表的SQL,三次分组查询Union结合成一张表结果:

SELECT
region_code AS regionCode,
SUM(license_count) AS licenseCount,
SUM(obu_count) AS obuCount,
SUM(ap_count) AS apCount,
SUM(ble_count) AS bleCount
FROM obu_statistic
WHERE statistic_day = #{formatDate}
GROUP BY region_code
UNION
SELECT
CONCAT(LEFT(region_code, 4), '00') AS regionCode,
SUM(license_count) AS licenseCount,
SUM(obu_count) AS obuCount,
SUM(ap_count) AS apCount,
SUM(ble_count) AS bleCount
FROM obu_statistic
WHERE statistic_day = #{formatDate}
GROUP BY LEFT(region_code, 4)
UNION
SELECT
CONCAT(LEFT(region_code, 2), '0000') AS regionCode,
SUM(license_count) AS licenseCount,
SUM(obu_count) AS obuCount,
SUM(ap_count) AS apCount,
SUM(ble_count) AS bleCount
FROM obu_statistic
WHERE statistic_day = #{formatDate}
GROUP BY LEFT(region_code, 2)"

查询结果:

+------------+--------------+----------+---------+----------+
| regionCode | licenseCount | obuCount | apCount | bleCount |
+------------+--------------+----------+---------+----------+
| 360111 | 106777 | 104264 | 161533 | 246934 |
| 360100 | 106777 | 104264 | 161533 | 246934 |
| 360000 | 106777 | 104264 | 161533 | 246934 |
+------------+--------------+----------+---------+----------+

  

设备表的SQL需要统计设备在线率,这一步要把分组的表联表JOIN合并:

SELECT a.county_code, a.allCount, IFNULL(b.onlineCount, 0) AS onlineCount, ROUND(IFNULL(b.onlineCount, 0) / a.allCount, 4) AS onlineRatio
FROM (SELECT county_code, COUNT(county_code) AS allCount FROM obu_t_device GROUP BY county_code) AS a
LEFT JOIN (SELECT county_code, COUNT(county_code) AS onlineCount FROM obu_t_device WHERE run_status = 1 GROUP BY county_code) AS b
ON a.county_code = b.county_code
UNION
SELECT a.county_code, a.allCount, IFNULL(b.onlineCount, 0) AS onlineCount, ROUND(IFNULL(b.onlineCount, 0) / a.allCount, 4) AS onlineRatio
FROM (SELECT CONCAT( LEFT(county_code, 4), '00') AS county_code, COUNT(1) AS allCount FROM obu_t_device GROUP BY CONCAT(LEFT(county_code, 4), '00')) AS a
LEFT JOIN (SELECT CONCAT( LEFT(county_code, 4), '00') AS county_code, COUNT(1) AS onlineCount FROM obu_t_device WHERE run_status = 1 GROUP BY CONCAT(LEFT(county_code, 4), '00')) AS b
ON a.county_code = b.county_code
UNION
SELECT a.county_code, a.allCount, IFNULL(b.onlineCount, 0) AS onlineCount, ROUND(IFNULL(b.onlineCount, 0) / a.allCount, 4) AS onlineRatio
FROM (SELECT CONCAT( LEFT(county_code, 2), '0000') AS county_code, COUNT(1) AS allCount FROM obu_t_device GROUP BY CONCAT( LEFT(county_code, 2), '0000')) AS a
LEFT JOIN (SELECT CONCAT( LEFT(county_code, 2), '0000') AS county_code, COUNT(1) AS onlineCount FROM obu_t_device WHERE run_status = 1 GROUP BY CONCAT( LEFT(county_code, 2), '0000')) AS b
ON a.county_code = b.county_code

查询结果:

+-------------+----------+-------------+-------------+
| county_code | allCount | onlineCount | onlineRatio |
+-------------+----------+-------------+-------------+
| 360111 | 4 | 1 | 0.2500 |
| 360100 | 4 | 1 | 0.2500 |
| 360000 | 4 | 1 | 0.2500 |
+-------------+----------+-------------+-------------+

3、数据结果联动

async initializeTreeData() {
const { data: treeData } = await getSysRegionTreeData('36', {})
const { data: result } = await getStatisticDataRegionCountData()
const list1 = result.list1
const list2 = result.list2
console.log(treeData)
this.treeForeach(treeData, 'subRegions', node => {
const d1 = list1.find(x => x.regionCode === node.regionCode)
const d2 = list2.find(x => x.regionCode === node.regionCode)
if (!d1 && !d2) {
node.licenseCount = 0
node.obuCount = 0
node.apCount = 0
node.bleCount = 0
node.allCount = 0
node.onlineCount = 0
node.onlineRatio = `0%`
return
}
if (d1) {
const { licenseCount, obuCount, apCount, bleCount } = d1
node.licenseCount = licenseCount
node.obuCount = obuCount
node.apCount = apCount
node.bleCount = bleCount
}
if (d2) {
const { allCount, onlineCount, onlineRatio } = d2
node.allCount = allCount
node.onlineCount = onlineCount
node.onlineRatio = `${onlineRatio * 100}%`
}
})
this.treeData = treeData
},

递归方法:

treeForeach(tree, childrenField, func) {
tree.forEach(data => {
func(data)
data[childrenField] && this.treeForeach(data[childrenField], childrenField, func) // 遍历子树
})
},

  

四、参考资料:

El-tree组件:

https://element.eleme.io/#/zh-CN/component/tree#scoped-slot

树结构的操作方法:

https://blog.csdn.net/OUalen/article/details/131438154

样式优化修改参考:

https://blog.csdn.net/Sabrina_cc/article/details/125319257

节点的操作图标:

https://www.iconfont.cn/

  

【Java】在树结构中给节点追加数据的更多相关文章

  1. C#程序中:如何修改xml文件中的节点(数据)

    要想在web等程序中实现动态的数据内容给新(如网页中的Flash),不会更新xml文件中的节点(数据)是远远不够的,今天在这里说一个简单的xml文件的更新,方法比较基础,很适合初学者看的,保证一看就懂 ...

  2. C#程序中:如何向xml文件中插入节点(数据)

    向xml文件中动态的添加节点(数据)是一件很爽的事,可以给你的程序带来很多的方便,比如在web中,如果你的Flash用到了xml文件,这个方法可以让你在后台就轻轻松松的更新你的Flash内容哦!一起研 ...

  3. 在 Java 应用程序中绑定 Bean 和数据

    本指南介绍了 NetBeans IDE 对 Java 应用程序中 Bean 绑定和数据绑定的支持. 要学完本教程,您需要具备以下软件和资源. 软件或资源 要求的版本 NetBeans IDE 版本 7 ...

  4. [转载]Java读取Excel中的单元格数据

    目前网上能找到的读取Excel表格中数据的两种比较好的方案:PageOffice好用开发效率高:POI免费.供大家参考,针对具体情况选择具体方案. 1. PageOffice读取excel impor ...

  5. java将数据库中查询到的数据导入到Excel表格

    1.Maven需要的依赖 <!-- https://mvnrepository.com/artifact/org.apache.poi/poi --> <dependency> ...

  6. Java向数据库中一次性插入大量数据

    String sql = “insert into username.tablename(id) values(?)”; PreparedStatement stmt = conn.prepareSt ...

  7. java程序向hdfs中追加数据,异常以及解决方案

    今天在学习hdfs时,遇到问题,就是在向hdfs中追加数据总是报错,在经过好几个小时的努力之下终于将他搞定 解决方案如下:在hadoop的hdfs-sit.xml中添加一下三项 <propert ...

  8. java jxl 向Excel中追加数据而不覆盖原来数据的例子

    向先原来就有数据的Excel写数据是不会覆盖原有的数据,只是在追加数据. public class Excel {     public Excel() {     }     public void ...

  9. Java通过poi创建Excel文件并分页追加数据

    以下的main函数,先生成一个excel文件,并设置sheet的名称,设置excel头:而后,以分页的方式,向文件中追加数据 maven依赖 <dependency> <groupI ...

  10. POI向Excel中写入数据及追加数据

    import org.apache.poi.xssf.usermodel.XSSFCell; import org.apache.poi.xssf.usermodel.XSSFRow; import ...

随机推荐

  1. 2023 Hive 面试大纲

    先说一些废话 总结一下Hive面试宝典中的要点,方便读者快速过一遍Hive面试所需要的知识点. 本文请搭配 Hive面试宝典 来食用更美味哟 ┗( ▔, ▔ )┛ 方便自己系统性回忆,根据*的数量来标 ...

  2. Easysearch 压缩功能的显著提升:从 8.7GB 到 1.4GB

    引言 在海量数据的存储和处理中,索引膨胀率是一个不可忽视的关键指标.它直接影响了存储成本和查询性能.近期,Easysearch 在这方面取得了显著的进展,其压缩功能的效果远超过了之前的版本.本文将详细 ...

  3. C#.NET 逐行读取TXT文本

    C#.NET 逐行读取TXT文本 using System; using System.IO; class Program { static void Main() { string filePath ...

  4. 支付宝支付jemter 插件,导入到高版本jmeter 中使用

    官方支付宝压力测试文档中: 蚂蚁金服开放平台 - 文档中心 (alipay.com) 有个 temp.jmx 文件(http://p.tb.cn/rmsportal_10157_temp.jmx.zi ...

  5. Scrapy框架(七)--中间件及Selenium应用

    中间件 下载中间件(Downloader Middlewares) 位于scrapy引擎和下载器之间的一层组件. 作用:批量拦截到整个工程中所有的请求和响应 - 拦截请求: - UA伪装:proces ...

  6. Mybatis中#{}和${}的区别:

    简单来说 #{} 会在将参数加上引号,例如:   SELECT * FROM user WHERE username=#{username} ;   带上参数后的SQL语句即:   SELECT * ...

  7. CTF反序列化wp(ciscn,nss,ctfshowweb入门)

    [CISCN 2023 华北]ez_date 题目: <?php error_reporting(0); highlight_file(__FILE__); class date{ public ...

  8. httpx的使用

    urllib和requests库已经可以爬取大多数网站的数据,但对于一些强制使用HTTP/2.0协议访问,这时urllib和requests是无法爬取数据的,因为只支持HTTP/1.1,不支持HTTP ...

  9. 开源一个RAG大模型本地知识库问答机器人

    弹指间,2009年大学毕业到现在2024年,已经15年过去了. 前2天,看到自己14年在博客园写的一个博客,哪个时候是工作之余创业 感兴趣的朋友可以看看我10年前发的一篇博客https://www.c ...

  10. css定位 position:sticky

    今天在做css定位的时候遇到一个问题,我想用fixed定位下来,但是发现这个时候定义的百分百宽度不随着父元素走了而是整个屏幕的百分百,这个就很尴尬了,也不能固定宽度吧,毕竟还要宽度自适应. 这个时候发 ...