一：安装
javascript
npm install --save docx二：docx.vue
javascript
<template>
<div class="">
<el-button type="primary" @click="downloadDocx">下载DOCX</el-button>
</div>
</template>
<script>
import { docxConfig } from "@/utils/docx";
import { Packer } from "docx";
import { downloadFile } from "@/utils/index";
export default {
name: "docx",
props: {},
components: {},
data () {
return {
docxList: {
year: '2025年',
month: '5月',
table1Data: {
widthList: [750, 4500, 3000, 750],
list: [{
value: ['序号', '管养单位', '管养路线', '备注']
}, {
value: ['1', '山东高速集团有限公司', 'G0321、G15、G1511、G18、G1813、G1815、G2、G20、G2001、G22、G25、G2516、G35、G3511', '']
}, {
value: ['2', '东营黄河大桥有限公司', 'G18', '']
}, {
value: ['3', '青岛城市建设投资（集团）有限责任公司', 'G22', '']
}, {
value: ['4', '青岛市公路事业发展中心', 'G15、G20、G2011', '']
}, {
value: ['5', '山东大钿蒂黄河大桥建设投资有限公司', 'G3511', '']
}, {
value: ['6', '山东葛洲坝巨单高速公路有限公司', 'G0321', '']
}, {
value: ['7', '山东鄄城黄河公路大桥投资有限公司', 'G0321', '']
}, {
value: ['8', '山东秦滨高速公路建设有限公司', 'G0111', '']
}, {
value: ['9', '山东省金鲁班德商高速公路发展有限公司', 'G0321', '']
}, {
value: ['10', '中铁菏泽德商高速公路建设发展有限公司', 'G35', '']
}, {
value: ['11', '中铁建（山东）德商高速公路有限公司', 'G0321', '']
}, {
value: ['12', '中铁建山东京沪高速公路济乐有限公司', 'G2', '']
}
]
},
table2Data: {
widthList: [3000, 3000, 3000],
list: [{
value: ['wtur', 'wtuf', 'wtud']
}, {
value: ['0.6', '0.2', '0.2']
}]
},
table3Data: {
widthList: [1800, 1800, 1800, 1800, 1800],
list: [{
value: ['技术状况等级', '1类', '2类', '3类', '4类']
}, {
value: ['技术状况得分', 'Stu≥90', '80≤Stu＜90', '70≤Stu＜80', 'Stu＜70']
}]
},
table4Data: {
widthList: [2500, 6500],
list: [{
value: ['技术状况评定等级', '养护建议']
}, {
value: ['1类', '分项工程运行正常，正常养护。']
}, {
value: ['2类', '分项工程存在非关键项问题，但不影响系统主要功能实现，需要加大养护频次，同时注意备品备件是否齐全。']
}, {
value: ['3类', '分项工程较多的非关键功能或有少量关键项存在问题，需对问题进行针对性分析，制定维修或设备更换养护策略。']
}, {
value: ['4类', '分项工程非关键功能项存在问题较多，或者关键项存在问题无法修复，或者其性能虽然满足行业普遍要求，但无法满足业主方使用需要，需对问题进行针对性分析，制定设备更换或专项升级改造养护策略。']
}]
},
tunnelTotalNum: '0',
table5Data: {
hasHeader: true,
columnWidths: [750, 1275, 1275, 2250, 1125, 1125, 1200],
list: []
},
table6Data: {
widthList: [752, 2062, 2062, 2062, 2062],
list: []
},
table7DataHeader: {
columnWidths: [750, 1275, 1275, 2250, 3450],
list: [['序号', '隧道名称', '分部设施', '分项设施', '技术状况评定结果']]
},
table7Data: {
hasHeader: false,
columnWidths: [750, 1275, 1275, 2250, 1725, 1725],
list: []
},
needMaintain: '0',
totalMaintainFee: '0'
},
mergeData: {
tunnelNameMerge: [],
projectNameMerge: [],
tunnelNameMerge2: [],
projectNameMerge2: [],
itemProjectNameMerge2: []
}
};
},
computed: {},
watch: {},
created () { },
mounted () { },
methods: {
// 导出docx - 已解决 Microsoft Word 打开会报错版本
downloadDocx () {
let res={
"msg": "操作成功",
"code": 200,
"data": {
"detail_list": [
{
"tunnel_id": 306,
"tunnel_name": "上游隧道",
"tunnel_part_project_id": 187,
"tunnel_part_project_name": "供配电设施",
"tunnel_item_project_id": 9105,
"tunnel_item_project_name": "综合微机保护装置",
"tunnel_item_project_score": 54.44,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 306,
"tunnel_name": "上游隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9129,
"tunnel_item_project_name": "紧急电话",
"tunnel_item_project_score": 57.43,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 306,
"tunnel_name": "上游隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9130,
"tunnel_item_project_name": "广播",
"tunnel_item_project_score": 47.52,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 362,
"tunnel_name": "大瓮山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9121,
"tunnel_item_project_name": "亮度检测器",
"tunnel_item_project_score": 60.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 362,
"tunnel_name": "大瓮山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9136,
"tunnel_item_project_name": "能见度检测器",
"tunnel_item_project_score": 60.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 362,
"tunnel_name": "大瓮山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9123,
"tunnel_item_project_name": "CO检测器",
"tunnel_item_project_score": 54.55,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 362,
"tunnel_name": "大瓮山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9124,
"tunnel_item_project_name": "风速风向检测器",
"tunnel_item_project_score": 54.55,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 362,
"tunnel_name": "大瓮山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9125,
"tunnel_item_project_name": "车辆检测器",
"tunnel_item_project_score": 50.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 362,
"tunnel_name": "大瓮山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9126,
"tunnel_item_project_name": "闭路电视监控设施",
"tunnel_item_project_score": 65.33,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 362,
"tunnel_name": "大瓮山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9127,
"tunnel_item_project_name": "视频事件检测器",
"tunnel_item_project_score": 60.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 362,
"tunnel_name": "大瓮山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9134,
"tunnel_item_project_name": "监控室设备及系统",
"tunnel_item_project_score": 66.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 304,
"tunnel_name": "大龙堂隧道",
"tunnel_part_project_id": 188,
"tunnel_part_project_name": "照明设施",
"tunnel_item_project_id": 9110,
"tunnel_item_project_name": "隧道灯具",
"tunnel_item_project_score": 35.71,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 304,
"tunnel_name": "大龙堂隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9121,
"tunnel_item_project_name": "亮度检测器",
"tunnel_item_project_score": 0.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 304,
"tunnel_name": "大龙堂隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9134,
"tunnel_item_project_name": "监控室设备及系统",
"tunnel_item_project_score": 37.50,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 424,
"tunnel_name": "寨山隧道",
"tunnel_part_project_id": 186,
"tunnel_part_project_name": "消防设施",
"tunnel_item_project_id": 9113,
"tunnel_item_project_name": "火灾自动探测报警系统",
"tunnel_item_project_score": 66.29,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 424,
"tunnel_name": "寨山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9132,
"tunnel_item_project_name": "交通控制和诱导设施",
"tunnel_item_project_score": 0.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 424,
"tunnel_name": "寨山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9134,
"tunnel_item_project_name": "监控室设备及系统",
"tunnel_item_project_score": 68.75,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 422,
"tunnel_name": "柿子峪隧道",
"tunnel_part_project_id": 187,
"tunnel_part_project_name": "供配电设施",
"tunnel_item_project_id": 9101,
"tunnel_item_project_name": "电力电容器柜",
"tunnel_item_project_score": 50.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 422,
"tunnel_name": "柿子峪隧道",
"tunnel_part_project_id": 186,
"tunnel_part_project_name": "消防设施",
"tunnel_item_project_id": 9113,
"tunnel_item_project_name": "火灾自动探测报警系统",
"tunnel_item_project_score": 65.84,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 422,
"tunnel_name": "柿子峪隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9125,
"tunnel_item_project_name": "车辆检测器",
"tunnel_item_project_score": 50.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 422,
"tunnel_name": "柿子峪隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9134,
"tunnel_item_project_name": "监控室设备及系统",
"tunnel_item_project_score": 68.75,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 423,
"tunnel_name": "蟠龙山隧道",
"tunnel_part_project_id": 186,
"tunnel_part_project_name": "消防设施",
"tunnel_item_project_id": 9113,
"tunnel_item_project_name": "火灾自动探测报警系统",
"tunnel_item_project_score": 68.52,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 423,
"tunnel_name": "蟠龙山隧道",
"tunnel_part_project_id": 186,
"tunnel_part_project_name": "消防设施",
"tunnel_item_project_id": 9120,
"tunnel_item_project_name": "给水管与阀门",
"tunnel_item_project_score": 66.67,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 423,
"tunnel_name": "蟠龙山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9125,
"tunnel_item_project_name": "车辆检测器",
"tunnel_item_project_score": 50.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 423,
"tunnel_name": "蟠龙山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9134,
"tunnel_item_project_name": "监控室设备及系统",
"tunnel_item_project_score": 68.75,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 302,
"tunnel_name": "蟠龙隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9136,
"tunnel_item_project_name": "能见度检测器",
"tunnel_item_project_score": 52.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 260,
"tunnel_name": "西山寨隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9127,
"tunnel_item_project_name": "视频事件检测器",
"tunnel_item_project_score": 60.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 260,
"tunnel_name": "西山寨隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9135,
"tunnel_item_project_name": "软件应急方案",
"tunnel_item_project_score": 0.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 259,
"tunnel_name": "青龙山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9127,
"tunnel_item_project_name": "视频事件检测器",
"tunnel_item_project_score": 60.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 259,
"tunnel_name": "青龙山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9135,
"tunnel_item_project_name": "软件应急方案",
"tunnel_item_project_score": 0.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 258,
"tunnel_name": "马山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9121,
"tunnel_item_project_name": "亮度检测器",
"tunnel_item_project_score": 65.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 258,
"tunnel_name": "马山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9127,
"tunnel_item_project_name": "视频事件检测器",
"tunnel_item_project_score": 60.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
},
{
"tunnel_id": 258,
"tunnel_name": "马山隧道",
"tunnel_part_project_id": 185,
"tunnel_part_project_name": "监控与通信设施",
"tunnel_item_project_id": 9135,
"tunnel_item_project_name": "软件应急方案",
"tunnel_item_project_score": 0.00,
"tunnel_item_project_level": "4",
"detection_date": "2024",
"quantities": 0,
"estimated_fee": 0.0
}
],
"need_maintain": 10,
"summary_list": [
{
"tunnel_name": "大瓮山隧道",
"maintain_fee": 0.0,
"road_code": "G1815",
"remark": "潍日高速"
},
{
"tunnel_name": "上游隧道",
"maintain_fee": 0.0,
"road_code": "G2",
"remark": "京沪高速"
},
{
"tunnel_name": "大龙堂隧道",
"maintain_fee": 0.0,
"road_code": "G2",
"remark": "京沪高速"
},
{
"tunnel_name": "蟠龙隧道",
"maintain_fee": 0.0,
"road_code": "G2",
"remark": "京沪高速"
},
{
"tunnel_name": "寨山隧道",
"maintain_fee": 0.0,
"road_code": "G22",
"remark": "青兰高速"
},
{
"tunnel_name": "柿子峪隧道",
"maintain_fee": 0.0,
"road_code": "G22",
"remark": "青兰高速"
},
{
"tunnel_name": "蟠龙山隧道",
"maintain_fee": 0.0,
"road_code": "G22",
"remark": "青兰高速"
},
{
"tunnel_name": "马山隧道",
"maintain_fee": 0.0,
"road_code": "G9911",
"remark": "济南都市圈环线"
},
{
"tunnel_name": "西山寨隧道",
"maintain_fee": 0.0,
"road_code": "G9911",
"remark": "济南都市圈环线"
},
{
"tunnel_name": "青龙山隧道",
"maintain_fee": 0.0,
"road_code": "G9911",
"remark": "济南都市圈环线"
}
],
"total_maintain_fee": 0.0
}
}
if (res.code == 200) {
let { detail_list = [], summary_list = [], total_maintain_fee, need_maintain } = res.data || {}
this.mergeHandle('tunnel_name', 'tunnelNameMerge', detail_list)
this.mergeHandle('tunnel_part_project_name', 'projectNameMerge', detail_list)
let { tunnelNameMerge = [], projectNameMerge = [] } = this.mergeData
let table5DataList = [
{
row: [{
text: '序号'
}, {
text: '隧道名称'
}, {
text: '分部设施'
}, {
text: '分项设施'
}, {
text: '单位'
}, {
text: '工程量'
}, {
text: '估算(万元)'
}]
}
], idx = 1
let detail_list7 = []
detail_list.forEach((item, index) => {
detail_list7.push({ ...item, resType: '得分' }, { ...item, resType: '类别' })
let rowObj = {
row: []
}
if (tunnelNameMerge[index] != 0) {
rowObj.row.push({
text: idx + '',
rowSpan: tunnelNameMerge[index]
}, {
text: item.tunnel_name,
rowSpan: tunnelNameMerge[index]
})
idx++
}
if (projectNameMerge[index] != 0) {
rowObj.row.push({
text: item.tunnel_part_project_name,
rowSpan: projectNameMerge[index]
})
}
rowObj.row.push(
{
text: item.tunnel_item_project_name
}, {
text: '套'
}, {
text: item.quantities + ''
}, {
text: item.estimated_fee + ''
}
)
table5DataList.push(rowObj)
})
this.docxList.table5Data.list = table5DataList
this.docxList.tunnelTotalNum = (idx-1) + ''
/*---------------最后一个表开始-------------------*/
let table7DataList = [], table7Idx = 1
this.mergeHandle('tunnel_name', 'tunnelNameMerge2', detail_list7)
this.mergeHandle('tunnel_part_project_name', 'projectNameMerge2', detail_list7)
this.mergeHandle('tunnel_item_project_name', 'itemProjectNameMerge2', detail_list7)
let { tunnelNameMerge2 = [], projectNameMerge2 = [], itemProjectNameMerge2 = [] } = this.mergeData
detail_list7.forEach((item, index) => {
let rowObj = {
row: []
}
if (tunnelNameMerge2[index] != 0) {
rowObj.row.push({
text: table7Idx + '',
rowSpan: tunnelNameMerge2[index]
}, {
text: item.tunnel_name,
rowSpan: tunnelNameMerge2[index]
})
table7Idx++
}
if (projectNameMerge2[index] != 0) {
rowObj.row.push({
text: item.tunnel_part_project_name,
rowSpan: projectNameMerge2[index]
})
}
if (itemProjectNameMerge2[index] != 0) {
rowObj.row.push({
text: item.tunnel_item_project_name,
rowSpan: itemProjectNameMerge2[index]
})
}
rowObj.row.push(
{
text: item.resType
}, {
text: item.resType == '得分' ? item.tunnel_item_project_score + '' : item.tunnel_item_project_level
}
)
table7DataList.push(rowObj)
})
this.docxList.table7Data.list = table7DataList
/*---------------最后一个表结束-------------------*/
/*--------------表3-2各隧道决策推荐计划汇总（倒数第二个表）-----------*/
let table6DataList = [{
value: ['序号', '隧道名称', '高速名称', '估算(万元)', '备注']
}]
summary_list.forEach((item, index) => {
table6DataList.push({
value: [
index + 1 + '',
item.tunnel_name,
item.road_code,
item.maintain_fee + '',
item.remark
]
})
})
table6DataList.push({
value: [
'合计',
'',
'',
total_maintain_fee + '',
''
]
})
this.docxList.table6Data.list = table6DataList
this.docxList.totalMaintainFee = total_maintain_fee + ''
this.docxList.needMaintain = need_maintain + ''
this.docxList.year=this.curyear+"年"
let currentDate = new Date();
let currentMonth = currentDate.getMonth() + 1;
this.docxList.month=currentMonth+"月"
// 创建实例
const docx = new docxConfig()
// 调用生成docx方法，并将希望生成值传递进去
const doc = docx.create(this.docxList)
// 导出为 Blob - 将文件同步给后端接口
// Packer.toBlob(doc).then(async (blob) => {
// const formData = new FormData();
// formData.append("file", blob);
// const data = await upload(formData);
// downloadFile(blob, "模板");
// });
// 直接导出，不留痕
Packer.toBlob(doc).then((blob) => {
downloadFile(blob, this.curyear+'年度山东省国家级高速公路隧道机电设施养护决策分析报告')
})
}
},
// 处理表格合并问题
mergeHandle(mergeKey, dataKey, list) {
let mergeList = []
list.forEach((item, index) => {
let idx = list.findIndex((t) => t[mergeKey] == item[mergeKey] && t.tunnel_id == item.tunnel_id)
if (idx == index) {
mergeList.push(1)
} else {
mergeList[idx] += 1
mergeList.push(0)
}
})
this.mergeData[dataKey] = mergeList
}
},
};
</script>
<style scoped lang="less">
</style>三: docx.js 位置：/utils/docx
javascript
import {
AlignmentType,
Document,
TabStopType,
TabStopPosition,
Paragraph,
TextRun,
Tab,
Header,
Footer,
ImageRun,
TableCell,
TableRow,
Table,
TableLayoutType,
VerticalAlign,
InternalHyperlink,
Bookmark,
ExternalHyperlink,
PageReference,
HorizontalPositionRelativeFrom,
HorizontalPositionAlign,
VerticalPositionRelativeFrom,
VerticalPositionAlign,
UnderlineType,
WidthType,
PageNumber,
PageBreak,
BorderStyle,
HeadingLevel,
TableOfContents,
NumberFormat,
StyleLevel,
File
} from 'docx'
import { base64Img1, base64Img2, base64Img3, base64Img4 } from '@/utils/base64Img'
export class docxConfig {
create(docxList) {
const doc = new Document({
features: {
updateFields: true
},
sections: [
{
// 对文档进行全局设置配置
properties: {},
// 设置内容区域
children: [
// 主标题
this.createText({
text: docxList.year + '度山东省国家级高速公路',
font: { size: 44, bold: true },
alignment: 'center',
spacing: { before: 1500, after: 100 }
}),
this.createText({
text: '隧道机电设施养护决策分析报告',
font: { size: 44, bold: true },
alignment: 'center',
spacing: { before: 0, after: 1500 }
}),
this.createImg({
baseImg: base64Img1,
width: 550,
height: 310,
spacing: { after: 3500 },
alignment: 'center'
}),
// 副标题
this.createText({
text: docxList.year + docxList.month,
font: { size: 28 },
spacing: { before: 150, after: 150 },
alignment: 'center'
})
]
},
{
// 对文档进行全局设置配置
properties: {
titlePage: true,
page: {
pageNumbers: {
start: 1,
formatType: NumberFormat.DECIMAL
}
}
},
headers: {
default: new Header({
children: [
new Paragraph({
children: [
new TextRun({
text: docxList.year + '度山东省国家级高速公路隧道机电设施养护决策分析报告',
bold: false,
font: {
name: '宋体'
},
color: '000000',
size: 20
})
],
border: {
bottom: {
color: 'auto',
space: 1,
style: BorderStyle.DOUBLE,
size: 6
}
},
alignment: 'center'
})
],
alignment: 'center'
}),
first: new Header({
children: [
new Paragraph({
children: [
new TextRun({
text: docxList.year + '度山东省国家级高速公路隧道机电设施养护决策分析报告',
bold: false,
font: {
name: '宋体'
},
color: '000000',
size: 20
})
],
border: {
bottom: {
color: 'auto',
space: 1,
style: BorderStyle.DOUBLE,
size: 6
}
},
alignment: 'center'
})
],
alignment: 'center'
})
},
footers: {
default: new Footer({
children: [
new Paragraph({
alignment: 'center',
children: [
new TextRun({
children: [PageNumber.CURRENT]
})
]
})
]
}),
first: new Footer({
children: [
new Paragraph({
alignment: 'center',
children: [
new TextRun({
children: [PageNumber.CURRENT]
})
]
})
]
})
},
// 设置内容区域
children: [
this.createText({
text: '目录',
font: { size: 32 },
alignment: 'center',
spacing: { before: 100, after: 200 }
}),
new TableOfContents('目录', {
hyperlink: true,
headingStyleRange: '1-5',
stylesWithLevels: [new StyleLevel('MySpectacularStyle', 1)]
}),
// ---- 分页符 -----
this.createPageBreakBefore(),
this.createText({
text: '说明',
font: { size: 32 },
alignment: 'center',
spacing: { before: 100, after: 200 }
}),
this.createText({ text: '1．通过系统汇集' + (parseInt(docxList.year) - 1) + '年度国家级高速公路隧道基本信息、检查情况、技术状况、养护处治等数据，进行' + docxList.year + '度国家级高速公路隧道养护决策分析。' }),
this.createText({ text: '2．隧道技术状况评定和养护决策分析以单座隧道为评定单元，实现项目级分析。' }),
this.createText({ text: '3．本报告中的隧道上行指桩号递增方向（右洞），下行指桩号递减方向（左洞）。' }),
this.createText({ text: '4．本报告提供的机电设施养护建议可用于开展隧道养护设计工作的依据。' }),
this.createPageBreakBefore(),
this.createText({
text: '一：概况',
font: { size: 32 },
heading: HeadingLevel.HEADING_1,
spacing: { before: 10, after: 150 }
}),
this.createText({
text: ' 通过及时了解和全面掌握山东省国家级高速公路隧道技术状况，应用科学的分析手段与方法对隧道基础属性数据、检查数据、交通量数据、养护历史数据进行分析比选，为制定' + docxList.year + '度养护项目计划提供依据。'
}),
this.createText({
text: ' 山东省国家级高速公路管养信息如下：'
}),
this.createText({
text: '表1-1山东省国家级高速公路管养单位信息',
alignment: 'center'
}),
this.createTableFor(docxList.table1Data.widthList, {
left: 100,
top: 20,
bottom: 20
}, { text: docxList.table1Data.list, alignment: 'left' }),
this.createText({
text: '二、隧道机电养护决策分析方法',
font: { size: 32 },
heading: HeadingLevel.HEADING_1,
spacing: { before: 200, after: 150 }
}),
this.createText({
text: '2.1基本思路',
font: { size: 28 },
heading: HeadingLevel.HEADING_2,
spacing: { before: 0, after: 100 }
}),
this.createText({
text: ' 公路养护决策侧重于路网级决策，隧道机电设施因构成复杂，且数量种类较多，因此公路隧道机电设施养护决策采用项目分级分析，将分部设施分为监控与通信设施、消防设施、供配电设施、通风设施、照明设施五大类。基于' + (parseInt(docxList.year) - 1) + '年隧道机电设施健康状况评定表，筛选出得分较低的分部设施，进而细化得分较低的分项设施，评分主要依据机电设施的设备年限和故障频次，具体策略详见2.2决策步骤，最终确定' + docxList.year + '隧道机电设施养护决策结果。'
}),
this.createText({
text: ' 根据' + docxList.year + '隧道机电设施养护决策定结果，对山东省国家级高速公路隧道养护需求进行分析，提出养护工程量及估算建议，形成2024年度决策分析推荐计划。'
}),
this.createText({
text: '2.2决策步骤',
font: { size: 28 },
heading: HeadingLevel.HEADING_2,
spacing: { before: 100, after: 100 }
}),
this.createText({
text: ' 1）适用范围',
font: { size: 26 },
heading: HeadingLevel.HEADING_3,
spacing: { before: 100, after: 100 }
}),
this.createText({
text: ' 本科学决策方法用于指导集团公司所辖高速公路隧道系统机电设备的技术状况和定期检测的评定，为更新改造的决策的提供数据支撑。'
}),
this.createText({
text: ' 本方法中"更新"主要是指因重大变更或设备老化、损坏导致现有机电设备性能指标无法满足工作需求，需要对其进行的分项或整体升级改造。'
}),
this.createText({
text: ' 2）更新原则',
font: { size: 26 },
heading: HeadingLevel.HEADING_3,
spacing: { before: 100, after: 100 }
}),
this.createText({
text: ' 1.隧道机电设施更新改造应在技术状况评定、定期检测评定、技术发展要求、运营管理需求等综合考虑下，有计划、有重点地进行更新改造。'
}),
this.createText({
text: ' 2.隧道机电设施更新改造应根据高速公路机电技术发展的新进展、新成果，着重采用技术更新的方式，改善和提高机电设备技术水平，达到稳定、高效、安全、低耗的综合效果。'
}),
this.createText({
text: ' 3.隧道机电设施更新改造应进行技术经济论证，科学决策，选择最优方案，确保获得良好的投资效益。'
}),
this.createText({
text: ' 3）定期检测评定',
font: { size: 26 },
heading: HeadingLevel.HEADING_3,
spacing: { before: 100, after: 100 }
}),
this.createText({
text: ' 运营单位每年组织隧道机电设施的定期检测，定期检测应选择第三方具备资质单位，提供定检报告。定期检查项目内容包括：供配电设施、照明设施、通风设施、消防设施、监控与通信设施。'
}),
this.createText({
text: ' 4）分项技术状况评定',
font: { size: 26 },
heading: HeadingLevel.HEADING_3,
spacing: { before: 100, after: 100 }
}),
this.createText({
text: ' 隧道机电设施分项技术状况评定由最近一年隧道定检报告评分、机电设备维修频次和机电设备使用年限三部分组成。'
}),
this.createText({
text: ' 通过查阅机电养护单位的隧道机电设施设备养护资料，将分项工程中自使用以来最大年度维修次数记为设备维修次数。维修频次得分应按下式（1）计算，Stuf为设备维修频次得分：'
}),
this.createImg({
baseImg: base64Img2,
width: 279,
height: 62,
spacing: { after: 100, befor: 100 },
alignment: 'center'
}),
...this.createTextFor([
{
text: ' （1）式中：Fmtuax---隧道机电设施维修次数，当Fmtuax为0时，Sf为100。'
},
{
text: ' 隧道机电设施分项工程中使用年限最长的设备，其使用年限记为该分项工程的使用年限，该分项工程的使用年限得分应按式（2）计算，Stud为分项工程使用年限得分：'
}
]),
this.createImg({
baseImg: base64Img3,
width: 309,
height: 69,
spacing: { after: 100, befor: 100 },
alignment: 'center'
}),
...this.createTextFor([
{
text: ' （2）式中：Ytup---建议使用年限；'
},
{
text: ' Ytuu---已经使用年限。'
},
{
text: ' 当Ytup小于Ytuu时，Stud为0。'
},
{
text: ' 隧道机电设施分项工程技术状况评定宜按照式（3）计算，'
}
]),
this.createImg({
baseImg: base64Img4,
width: 353,
height: 36,
spacing: { after: 100, befor: 100 },
alignment: 'center'
}),
...this.createTextFor([
{
text: ' （3）式中：Stu---隧道机电设施分项工程术状况等级得分；'
},
{
text: ' wtur---隧道机电设施分项工程技术检测权重系数；'
},
{
text: ' Stur---最近一年隧道定检报告中该分项工程技术状况得分；'
},
{
text: ' wtuf---隧道机电设施分项工程维修频率权重系数；'
}, {
text: ' wtud---隧道机电设施分项工程使用年限权重系数。'
}, {
text: '权重系数建议取值见表2-1。'
}, {
text: '表2-1权重系数建议取值表',
alignment: 'center'
}
]),
this.createTableFor(docxList.table2Data.widthList, {
left: 100,
top: 20,
bottom: 20
}, { text: docxList.table2Data.list, alignment: 'center' }),
...this.createTextFor([
{
text: ' 隧道机电设施分项工程技术状况按表2-2分为1类、2类、3类、4类。',
spacing: { before: 150, line: 340 }
},
{
text: '表2-2分项工程技术状况等级界限表',
alignment: 'center'
}
]),
this.createTableFor(docxList.table3Data.widthList, {
left: 100,
top: 20,
bottom: 20
}, { text: docxList.table3Data.list, alignment: 'center' }),
...this.createTextFor([
{
text: ' 不同等级的分项工程应按表2-3中的养护建议采取对应的养护措施。',
spacing: { before: 150, line: 340 }
},
{
text: '表2-3分项工程养护建议',
alignment: 'center'
}
]),
this.createTableFor(docxList.table4Data.widthList, {
left: 100,
top: 20,
bottom: 20
}, { text: docxList.table4Data.list, alignment: 'left' }),
this.createText({
text: '三、隧道机电养护决策分析成果及建议',
font: { size: 32 },
heading: HeadingLevel.HEADING_1,
spacing: { before: 10, after: 150 }
}),
new Paragraph({ // 创建段落
children: [
new TextRun({ // 创建文本对象
text: ' 基于以上决策评分方法，可以计算出国家级高速公路' + (parseInt(docxList.year) - 1) + '年度隧道机电设施技术状况评定表。', // 文本
bold: false,
size: 24
}),
new TextRun({ // 创建文本对象
text: '根据表2-5分部设施状况等级划分，五大分部设施状况评级在3级及以下的隧道，需加强日常预防性养护，并对损坏设备及时修复，不再纳入本次决策建议计划。五大分部设施中，存在状况评级4级的隧道，纳入本次决策建议计划。', // 文本
bold: true,
size: 24
}),
new TextRun({ // 创建文本对象
text: '山东省国家级高速公路养护决策分析包括：养护需求分析、养护建议计划二个方面。', // 文本
bold: false,
size: 24
})
],
heading: HeadingLevel.TITLE,
spacing: { before: 0, after: 0, line: 340 }, // 距其他元素距离
alignment: 'left'
}),
...this.createTextFor([
{
text: '3.1养护需求分析',
font: { size: 28 },
heading: HeadingLevel.HEADING_2,
spacing: { before: 0, after: 100 }
},
{
text: ' 根据系统科学决策系统计算的' + docxList.year + '各隧道机电设施技术状况评定结果，采用高标准对山东省国家级高速公路隧道进行养护需求分析，得到' + docxList.year + '专项修复养护需求的隧道为' + docxList.tunnelTotalNum + '座。各隧道机电涉及专项修复养护需求的分项设施见附录1.'
},
{
text: '3.2工程量与估算分析',
font: { size: 28 },
heading: HeadingLevel.HEADING_2,
spacing: { before: 0, after: 100 }
},
{
text: ' 基于3.1中对养护需求的分析，结合系统中的机电维护数据，对山东省国家级高速公路隧道进行专项工程工程量估计和养护费用估算分析，分析结果详见表3-1。 '
},
{
text: '表3-1隧道机电设施专项工程工程量与养护费用估算分析表',
alignment: 'center'
}
]),
this.createTableMergeHandle(docxList.table5Data),
...this.createTextFor([
{
text: '3.3隧道养护建议计划',
font: { size: 28 },
heading: HeadingLevel.HEADING_2,
spacing: { before: 0, after: 100 }
},
{
text: ' 基于以上数据，综合考虑隧道机电技术状况、技术等级和交通量等因素，结合分析优选，' + docxList.year + '隧道机电养护建议计划共'+ docxList.needMaintain+'座，总计养护费用为'+ docxList.totalMaintainFee+'万元。详细估算参见表3-2。'
},
{
text: '表3-2各隧道决策推荐计划汇总',
alignment: 'center'
}
]),
this.createTableFor(docxList.table6Data.widthList, {
left: 100,
top: 20,
bottom: 20
}, { text: docxList.table6Data.list, alignment: 'center' }),
this.createText({
text: '附录1：' + docxList.year + '隧道机电专项修复养护分项设施汇总表',
font: { size: 32 },
heading: HeadingLevel.HEADING_1,
spacing: { before: 100, after: 100 },
alignment: 'center',
pageBreakBefore: true
}),
this.createTable(docxList.table7DataHeader.columnWidths, {
top: 20,
bottom: 20
}, { text: docxList.table7DataHeader.list, alignment: 'center', font: { bold: true } }),
this.createTableMergeHandle(docxList.table7Data),
// ---- 分页符 -----
// this.createPageBreakBefore(),
// this.createText({
// text: ' '
// })
// // 合并单元格测试
// this.createTableMerge(),
]
}
]
})
return doc
}
//--------------------------------上述代码为测试示例代码--------------------------------------
// 公共创建段落区域
createText({ text, font, spacing, alignment, indent, heading, pageBreakBefore }) {
return new Paragraph({ // 创建段落
children: [
new TextRun({ // 创建文本对象
text, // 文本
font: font?.name || '宋体', // 字体 （例如："宋体"）
size: font?.size || 24, // 字号 （例如：14）-- 注意：以size:18为小五为例子 -- 21五号字 -- 具体使用自己调整
color: font?.color || '000000', // 颜色 （例如："000000"）
underline: font?.underline, // 下划线（例如："single"）
bold: font?.bold || false, // 是否加粗（例如：true）
italic: font?.italic || false, // 是否斜体（例如：true）
strike: font?.strike || false, // 删除线（例如：true）
subscript: font?.subscript || false, // 下标（例如：true）
superscript: font?.superscript || false // 上标（例如：true）
})
],
heading: heading || HeadingLevel.TITLE,
spacing: spacing || { before: 0, after: 0, line: 320 }, // 距其他元素距离
alignment: alignment || 'left', // 对齐方式 左对齐 AlignmentType.LEFFT 居中对齐 'center' 右对齐 AlignmentType.RIGHT
indent: indent, // 缩进 例如，设置indent: 720可以实现一个1英寸的左缩进。 -- { left: 720 } (左缩进) right（右缩进）、firstLine（首行缩进）
pageBreakBefore // 如果设置为true，则在该段落之前会强制插入一个新页。 -- 如果当前段落为首项则不会生效
})
}
// 传数组，循环创建段落
createTextFor(list) {
let arr = []
list.forEach((item) => {
arr.push(this.createText(item))
})
return [...arr]
}
// 公共创建图片
createImg({ baseImg, width, height, text, spacing, alignment }) {
return new Paragraph({ // 创建段落
children: [
new ImageRun({
data: baseImg,
transformation: {
width: width || 100,
height: height || 100
},
alignment: 'center'
// floating: {
// zIndex: 5,
// // 水平定位
// horizontalPosition: {
// relative: HorizontalPositionRelativeFrom.MARGIN,
// align: HorizontalPositionAlign.CENTER
// },
// // // 垂直定位
// verticalPosition: {
// relative: HorizontalPositionRelativeFrom.MARGIN,
// align: HorizontalPositionAlign.CENTER
// }
// }
})
],
spacing,
alignment: alignment || 'center'
})
}
// 分页 - 两种方法，可根据实际情况使用
createPageBreakBefore() {
// 移动到新页面（插入分页符）：
return new Paragraph({
children: [new PageBreak()]
})
// // 将确保段落将在新页面上开始（如果它还没有在新页面上）
// return new Paragraph({
// pageBreakBefore: true,
// })
}
// 公共调用创建表格区域 -- 单行表格
// { new Table配置项 } { new TableRow配置项 } { new Table配置项 } { createText方法传入配置项 } -- 可能写的比较繁琐 -- 实际开发可根据具体需求 -- 因为大部门值其实都是固定的
createTable(
columnWidths,
margins,
{ text, font, spacing, alignment, indent, pageBreakBefore }) {
// 创建表格项
return new Table({
columnWidths: columnWidths || [1800, 1800, 1800, 1800, 1800], // 每个单元格宽度
layout: TableLayoutType.FIXED,
rows: text.map(x => {
return new TableRow({
children: x.map((v, childIndex) => {
return new TableCell({
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: margins || { top: 20, bottom: 20 }, // 设置边距 -- 用来撑开单元格
children: [
this.createText({ text: v, alignment: alignment, font: font })
]
})
})
})
})
})
}
// 公共调用创建表格区域 -- 循环生成多行表格 -- 不再写各个属性配置项 -- 有需要看 createTable 公共方法 有具体描述
createTableFor(
columnWidths,
margins,
{ text, font, spacing, alignment, indent, pageBreakBefore }) {
// 创建表格项
return new Table({
columnWidths: columnWidths || [1800, 1800, 1800, 1800, 1800], // 每个单元格宽度
layout: TableLayoutType.FIXED,
rows: text.map((x, index) => {
return new TableRow({ // 列
children: x.value.map((v, childIndex) => {
// 如果不为数组，将其转换为数组
if (typeof (v) !== 'object') v = [v]
// // 匹配\n换行符号，将其组成['','']此格式
// v.forEach((item, index) => {
// v = item.split('\n')
// })
return new TableCell({ // 行
width: {
size: columnWidths ? columnWidths[childIndex] : 1000,
type: WidthType.DXA
},
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: margins || { top: 100, bottom: 100 }, // 设置边距 -- 用来撑开单元格
children: v.map(ite => { // 针对\n 换行符，将其每一段输出成一个段落 -- 以实现换行效果
return this.createText({ text: ite, font, spacing, alignment, indent, pageBreakBefore })
})
})
})
})
})
})
}
// 生成合并单元格的表格
createTableMergeHandle({ hasHeader, columnWidths, list }) {
return new Table({ // 固定信息示例
columnWidths: columnWidths, // 每个单元格宽度
layout: TableLayoutType.FIXED,
rows: list.map((item, index) => {
let bold = hasHeader && index == 0 ? true : false
return new TableRow({
children: item.row.map((t, childIndex) => {
return new TableCell({
children: [this.createText({ text: t.text, alignment: 'center', font: { bold: bold } })],
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: { top: 50, bottom: 50 },
rowSpan: t.rowSpan, // 设置跨 n 行 -- 注意：此处用的是跨来描述 --
columnSpan: 1 // 设置跨 2 列// 设置边距 -- 用来撑
})
})
})
})
})
}
// 合并单元格测试
createTableMerge() {
// 创建表格项
return new Table({ // 固定信息示例
columnWidths: [1125, 1125, 1125, 2250, 1125, 1125, 1125], // 每个单元格宽度
layout: TableLayoutType.FIXED,
rows: [
new TableRow({
children: [
new TableCell({
children: [this.createText({ text: '序号', font: { bold: true } })],
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: { top: 100, bottom: 100 } // 设置边距 -- 用来撑
}),
new TableCell({
children: [this.createText({ text: '隧道名称', font: { bold: true } })],
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: { top: 100, bottom: 100 } // 设置边距 -- 用来撑
}),
new TableCell({
children: [this.createText({ text: '分部设施', font: { bold: true } })],
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: { top: 100, bottom: 100 } // 设置边距 -- 用来撑
}),
new TableCell({
children: [this.createText({ text: '分项设施', font: { bold: true } })],
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: { top: 100, bottom: 100 } // 设置边距 -- 用来撑
}),
new TableCell({
children: [this.createText({ text: '单位', font: { bold: true } })],
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: { top: 100, bottom: 100 } // 设置边距 -- 用来撑
}),
new TableCell({
children: [this.createText({ text: '工程量', font: { bold: true } })],
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: { top: 100, bottom: 100 } // 设置边距 -- 用来撑
}),
new TableCell({
children: [this.createText({ text: '估算（万元）', font: { bold: true } })],
verticalAlign: 'center', // 设置字在单元格对齐方式 垂直居中
margins: { top: 100, bottom: 100 } // 设置边距 -- 用来撑
})
]
}),
new TableRow({
children: [
new TableCell({
children: [this.createText({ text: '1' })],
rowSpan: 6, // 设置跨 2 行 -- 注意：此处用的是跨来描述 -- 代表这个单元格会占据3行 -- 前提是存在3个new TableRow
columnSpan: 1, // 设置跨 2 列
verticalAlign: 'center' // 设置字在单元格对齐方式 垂直居中
}),
new TableCell({
children: [this.createText({ text: '港沟隧道' })],
rowSpan: 6, // 设置跨 2 行 -- 注意：此处用的是跨来描述 -- 代表这个单元格会占据3行 -- 前提是存在3个new TableRow
columnSpan: 1, // 设置跨 2 列
verticalAlign: 'center' // 设置字在单元格对齐方式 垂直居中
}),
new TableCell({
children: [this.createText({ text: '供配电设施' })],
rowSpan: 2, // 设置跨 2 行 -- 注意：此处用的是跨来描述 -- 代表这个单元格会占据3行 -- 前提是存在3个new TableRow
columnSpan: 1, // 设置跨 2 列
verticalAlign: 'center' // 设置字在单元格对齐方式 垂直居中
}),
new TableCell({
children: [this.createText({ text: '抵押开关柜' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '套' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '8' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '39.8' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
})
]
}),
new TableRow({
children: [
new TableCell({
children: [this.createText({ text: '自卑发电设备' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
})
]
}),
new TableRow({
children: [
new TableCell({
children: [this.createText({ text: '照明设施' })],
rowSpan: 2, //
columnSpan: 1, // 设置跨 2 列
verticalAlign: 'center' // 设置字在单元格对齐方式 垂直居中
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
})
]
}),
new TableRow({
children: [
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
})
]
}),
new TableRow({
children: [
new TableCell({
children: [this.createText({ text: '监控与通信设备' })],
rowSpan: 2, //
columnSpan: 1, // 设置跨 2 列
verticalAlign: 'center' // 设置字在单元格对齐方式 垂直居中
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
})
]
}),
new TableRow({
children: [
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
}),
new TableCell({
children: [this.createText({ text: '单元格 2' })],
verticalAlign: 'center',
margins: { top: 100, bottom: 100 }
})
]
})
]
})
}
// 示例模板
// 公共调用创建表格区域 -- 单行表格
// { new Table配置项 } { new TableRow配置项 } { new Table配置项 } { createText方法传入配置项 } -- 可能写的比较繁琐 -- 实际开发可根据具体需求 -- 因为大部门值其实都是固定的
createTableTemplate(
{ TableColumnWidths, TableHeight, TableBorders },
{ TableRowCantSplit, TableRowTableHeader },
{ TableCellWidth, TableCellMargins, TableCellBorders, TableCellVerticalAlign, TableCellShading },
{ text, font, spacing, alignment, indent, pageBreakBefore }) {
// 创建表格项
return new Table({
columnWidths: TableColumnWidths || [750, 1000, 3750, 1000, 2500], // 设置表格中各列的宽度 以9000磅（点）为基准 例如：[750, 1000, 3750, 1000, 2500]
borders: { // 定义表格的边框样式
top: TableBorders?.top || {
// style: BorderStyle.DOTTED, // 设置顶部边框样式 -- SINGLE：单实线边框样 -- DASHED：虚线边框样式 -- DOTTED：点线边框样式 -- DOUBLE：双实线边框样式 -- NONE：无边框样式
color: '000000' // 设置边框颜色为黑色
// size: 1, // 设置边框大小为1磅
}
// bottom 设置表格底部边框的样式，用法与top类似。
// left：设置表格左侧边框的样式，用法与top类似。
// right：设置表格右侧边框的样式，用法与top类似。
// insideHorizontal：设置表格内部水平边框的样式，用法与top类似。
// insideVertical：设置表格内部垂直边框的样式，用法与top类似。
},
rows: [ // 设置表格行数和行对象
new TableRow({ // 创建表格行
cantSplit: TableRowCantSplit || true, // 设置是否禁止表格行跨页分割 true（禁止分割）或false（允许分割）
tableHeader: TableRowTableHeader || false, // 设置是否将表格行视为表格的标题行，默认值为false。如果设置为true，则表格行将被视为表格的标题行，表格标题行通常具有不同的样式。
children: [
// 创建表格列
new TableCell({
width: TableCellWidth || {
size: 750, // 设置单元格的宽度 总值一般按9000算
type: WidthType.DXA // 使用DXA单位来定义表格单元格宽度。
},
margins: TableCellMargins || { // 设置单元格的边距
top: 1000,
right: 0,
bottom: 1000,
left: 0
},
shading: TableCellShading || {
// fill: "FF0000", val: ShadingType.REVERSE_DIAGONAL_STRIPE // 设置底纹颜色为红色 -- 使用反对角线条纹样式
// ShadingType.CLEAR：清除底纹，即无底纹。
// ShadingType.SOLID：实心底纹。
// ShadingType.HORIZONTAL_STRIPE：水平条纹底纹。
// ShadingType.VERTICAL_STRIPE：垂直条纹底纹。
// ShadingType.REVERSE_DIAGONAL_STRIPE：反对角线条纹底纹。
// ShadingType.DIAGONAL_STRIPE：对角线条纹底纹。
// ShadingType.DIAGONAL_CROSShatch：对角交叉线底纹。
// ShadingType.THICK_HORIzONTAL：粗水平线底纹。
// ShadingType.THICK_VERTICAL：粗垂直线底纹。
},
border: TableCellBorders || {
// top: { color: "000000", space: 1, value: BorderStyle.DOT_DOT_DASH }, // 设置顶部边框为点点虚线样式，底部边框为虚线样式
// space 配置项：
// 0：边框与内容紧密相邻，无额外间距。
// 1：边框与内容之间有一个小间距。
// 2：边框与内容之间有一个中等间距。
// 3：边框与内容之间有一个大间距。
// value 配置项：
// BorderStyle.NONE：无边框。
// BorderStyle.SINGLE：单线边框。
// BorderStyle.THICK：粗线边框。
// BorderStyle.DOUBLE：双线边框。
// BorderStyle.DOT：点线边框。
// BorderStyle.DASH：破折号线边框。
// BorderStyle.DASH_DOT：破折号和点线边框。
// BorderStyle.DASH_DOT_DOT：破折号和两个点线边框。
// BorderStyle.SINGLE_WAVE：单波浪线边框。
// BorderStyle.DOUBLE_WAVE：双波浪线边框。
// BorderStyle.DOT_DOT_DASH：两点和破折号边框。
},
verticalAlign: TableCellVerticalAlign || 'center', // 设置字在单元格对齐方式 垂直居中
rowSpan: 3, // 设置跨 2 行 -- 注意：此处用的是跨来描述 -- 代表这个单元格会占据3行 -- 前提是存在3个new TableRow
columnSpan: 2, // 设置跨 2 列
children: [
new Paragraph({ // 创建段落
children: [
new TextRun({ // 创建文本对象
text, // 文本
name: font?.name || '宋体', // 字体 （例如："宋体"）
size: font?.size || 18, // 字号 （例如：14）-- 注意：以size:18为小五为例子 -- 21五号字 -- 具体使用自己调整
color: font?.color || '000000', // 颜色 （例如："000000"）
underline: font?.underline, // 下划线（例如："single"）
// true：显示未格式化的下划线。
// false：不显示下划线。
// 'dash'：显示虚线下划线。
// 'dashDotDotHeavy'：显示双点虚线下划线。
// 'dashLong'：显示长虚线下划线。
// 'dashLongHeavy'：显示粗长虚线下划线。
// 'dotDash'：显示点虚线下划线。
// 'dotted'：显示点下划线。
// 'dottedHeavy'：显示粗点下划线。
// 'double'：显示双下划线。
// 'single'：显示单下划线。
// 'thick'：显示粗下划线。
// 'wave'：显示波浪线下划线。
// 'wavyDouble'：显示双波浪线下划线。
// 'wavyHeavy'：显示粗波浪线下划线。
// 'words'：只在单词下划线
bold: font?.bold || false, // 是否加粗（例如：true）
italic: font?.italic || false, // 是否斜体（例如：true）
strike: font?.strike || false, // 删除线（例如：true）
subscript: font?.subscript || false, // 下标（例如：true）
superscript: font?.superscript || false // 上标（例如：true）
})
],
spacing: spacing || { before: 0 }, // 距其他元素距离
alignment, // 对齐方式 左对齐 AlignmentType.LEFFT 居中对齐 'center' 右对齐 AlignmentType.RIGHT
indent, // 缩进 例如，设置indent: 720可以实现一个1英寸的左缩进。 -- { left: 720 } (左缩进) right（右缩进）、firstLine（首行缩进）
pageBreakBefore // 如果设置为true，则在该段落之前会强制插入一个新页。 -- 如果当前段落为首项则不会生效
})
]
})
]
})
]
})
}
}index.js 位置:utils/index.js
javascript
// 下载文件流
export const downloadFile = (res, val) => {
const blob = new Blob([res], {
type: "application/vnd.openxmlformats-officedocument.wordprocessingml.document" // for .docx files
}) // for .xlsx files
// 通过URL.createObjectURL生成文件路径
const url = window.URL.createObjectURL(blob)
// 创建a标签
const ele = document.createElement("a")
ele.style.display = "none"
ele.download = val ? val : '模板'
// 设置href属性为文件路径，download属性可以设置文件名称
ele.href = url
// 将a标签添加到页面并模拟点击
document.querySelectorAll("body")[0].appendChild(ele)
ele.click()
// 移除a标签
ele.remove()
}base64Img.js (base64格式的图片) 位置：utils/base64Img.js
javascript
export const 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