【Java】在树结构中给节点追加数据
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/
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