vue项目中导出表格
- 后台提供数据，前台进行转换为指定的excel文件；
- 使用插件：export2table;
- 基于elementui组件库
第一步，下载相关依赖
npm install -S file-saver xlsx
npm install -D script-loader
第二步，创建放置插件的文件夹
- 创建vendor文件夹；
- 创建Blob.js和Export2Excel.js文件；（相关文件内容在文后附）
- 注意：在E2E.js的文件开头的引入，引入Blob.js时要写正确的路径地址。我的vendor是在src > plugins > vendor中，而且alias中设置了
'@': resolve('src')，所以路径地址为@/plugins/vendor/Blob
require('script-loader!file-saver');
require('script-loader!@/plugins/vendor/Blob');
第三步，事件触发的逻辑
- Export2Excel中export_json_to_excel方法需要的参数是三个。
- 第一个是表头名称组成的数组；
- 第二个是tbody需要填充的数据组成的对象数组，每一个对象是一行，有多少行就有多少对象，这些对象组成数组；
- 第三个是下载的表格文件的文件名称；
- 在该项目中，由于后台给的数据有些别扭，所以拿来后做了一些处理，并且将后台给的模拟数据直接显示在项目中了；
/*导出列表*/
exportList(){
require.ensure([], () => {
//引入方法
const { export_json_to_excel } = require('../../../plugins/vendor/Export2Excel')
//定义的表头名称
const tHeader = [];
//表头和tbody相关联的表头的value
const filterVal = [];
//后台给的表头的数据
const shortTime = [
{
"name": "name",
"value": "row1",
"type": "date",
"sorted": true,
"filtered": false,
"filterItems": [
{
"text": "alert",
"value": 'select1'
},
{
"text": "one",
"value": 'select2'
},
{
"text": "one11",
"value": 'select22'
}
]
},
{
"name": "occurrencetime",
"value": "row2",
"type": "date",
"sorted": true,
"filtered": false,
"filterItems": [
{
"text": "alert",
"value": 'select1'
},
{
"text": "11",
"value": 'select3'
}
]
},
{
"name": "mainaccount",
"value": "row3",
"type": "date",
"sorted": false,
"filtered": false,
"filterItems": [
{
"text": "alert",
"value": 'select1'
},
{
"text": "22",
"value": 'select4'
}
]
},
{
"name": "subsidiaryaccount",
"value": "row4",
"type": "date",
"sorted": false,
"filtered": false,
"filterItems": [
{
"text": "alert",
"value": 'select1'
}
]
},
{
"name": "colunm1",
"value": "row5",
"type": "date",
"sorted": false,
"filtered": false,
"filterItems": [
{
"text": "alert",
"value": 'select1'
}
]
},
{
"name": "colunm2",
"value": "row6",
"type": "date",
"sorted": false,
"filtered": false,
"filterItems": [
{
"text": "alert",
"value": 'select1'
}
]
},
{
"name": "colunm3",
"value": "row7",
"type": "date",
"sorted": false,
"filtered": false,
"filterItems": [
{
"text": "alert",
"value": 1
}
]
},
{
"name": "colunm4",
"value": "row8",
"type": "date",
"sorted": false,
"filtered": false,
"filterItems": [
{
"text": "alert",
"value": 1
}
]
}
]
//表头信息只需要表头名称，所以处理一下
for (let i=0; i//后台给的tbody数据
const list = [
[
{name:'id-1', "value": "value-id","type": "int","columnName": "id"},
{name: '1:1:1',"value": "value-createTime","type": "int","columnName": "createTime"},
{name:'n-1',"value": "0","type": "int","columnName": "row1"},
{name:'o-1',"value": "0","type": "int","columnName": "row2"},
{name:'m-1',"value": "0","type": "int","columnName": "row3"},
{name:'s-1',"value": "0","type": "int","columnName": "row4"},
{name:'1-1',"value": "0","type": "int","columnName": "row5"},
{name:'2-1',"value": "0","type": "int","columnName": "row6"},
{name:'1-1',"value": "0","type": "int","columnName": "row7"},
{name:'2-1',"value": "0","type": "int","columnName": "row8"},
],
[
{name:'id-2', "value": "id","type": "int","columnName": "id"},
{name: '2:2:2',"value": "createTime","type": "int","columnName": "createTime"},
{name:'n-2',"value": "0","type": "int","columnName": "row1"},
{name:'o-2',"value": "0","type": "int","columnName": "row2"},
{name:'m-2',"value": "0","type": "int","columnName": "row3"},
{name:'s-2',"value": "0","type": "int","columnName": "row4"},
{name:'1-2',"value": "0","type": "int","columnName": "row5"},
{name:'2-2',"value": "0","type": "int","columnName": "row6"},
{name:'1-2',"value": "0","type": "int","columnName": "row7"},
{name:'2-2',"value": "0","type": "int","columnName": "row8"},
]
]
//tbody给的数据过多，所以进行处理
let middleData = list.map(v => v.map(function(row){
for (let i=0; i<=filterVal.length-1; i++){
if (row.columnName == filterVal[i]){
return row.name
}
}
}))
let data = middleData.map(rowData => rowData.filter(function(val){
return !(!val || val === "");
}))
console.log("+++++",tHeader,filterVal,data)
//将处理出来的tHeader, data传递给export_json_to_excel方法，'列表excel'为下载文件的名称
export_json_to_excel(tHeader, data, '列表excel')
})
},
/*如果后台给的tbody数据是比较好的数据，就可以如下处理。比如一个对象数组，做过的类似项目的会有同感...*/
/*根据表头信息将tbody里面的每个单元格数据拿出来，组成一个数组，有几行就有几个数组*/
/*但是由于每一个单元格又是一个对象，所以将拿出来的每行数据赋值给rowArray，多处理一步*/
formatJson (filterVal, jsonData) {
const rowArray = jsonData.map(v => filterVal.map(j => v[j]));
return rowArray.map(a => a.map(a1 => a1.name))
}
附：两个文件Blob.js和Export2Excel.js
(function (view) {
"use strict";
view.URL = view.URL || view.webkitURL;
if (view.Blob && view.URL) {
try {
new Blob;
return;
} catch (e) {}
}
var BlobBuilder = view.BlobBuilder || view.WebKitBlobBuilder || view.MozBlobBuilder || (function(view) {
var
get_class = function(object) {
return Object.prototype.toString.call(object).match(/^\[object\s(.*)\]$/)[1];
}
, FakeBlobBuilder = function BlobBuilder() {
this.data = [];
}
, FakeBlob = function Blob(data, type, encoding) {
this.data = data;
this.size = data.length;
this.type = type;
this.encoding = encoding;
}
, FBB_proto = FakeBlobBuilder.prototype
, FB_proto = FakeBlob.prototype
, FileReaderSync = view.FileReaderSync
, FileException = function(type) {
this.code = this[this.name = type];
}
, file_ex_codes = (
"NOT_FOUND_ERR SECURITY_ERR ABORT_ERR NOT_READABLE_ERR ENCODING_ERR "
+ "NO_MODIFICATION_ALLOWED_ERR INVALID_STATE_ERR SYNTAX_ERR"
).split(" ")
, file_ex_code = file_ex_codes.length
, real_URL = view.URL || view.webkitURL || view
, real_create_object_URL = real_URL.createObjectURL
, real_revoke_object_URL = real_URL.revokeObjectURL
, URL = real_URL
, btoa = view.btoa
, atob = view.atob
, ArrayBuffer = view.ArrayBuffer
, Uint8Array = view.Uint8Array
;
FakeBlob.fake = FB_proto.fake = true;
while (file_ex_code--) {
FileException.prototype[file_ex_codes[file_ex_code]] = file_ex_code + 1;
}
if (!real_URL.createObjectURL) {
URL = view.URL = {};
}
URL.createObjectURL = function(blob) {
var
type = blob.type
, data_URI_header
;
if (type === null) {
type = "application/octet-stream";
}
if (blob instanceof FakeBlob) {
data_URI_header = "data:" + type;
if (blob.encoding === "base64") {
return data_URI_header + ";base64," + blob.data;
} else if (blob.encoding === "URI") {
return data_URI_header + "," + decodeURIComponent(blob.data);
} if (btoa) {
return data_URI_header + ";base64," + btoa(blob.data);
} else {
return data_URI_header + "," + encodeURIComponent(blob.data);
}
} else if (real_create_object_URL) {
return real_create_object_URL.call(real_URL, blob);
}
};
URL.revokeObjectURL = function(object_URL) {
if (object_URL.substring(0, 5) !== "data:" && real_revoke_object_URL) {
real_revoke_object_URL.call(real_URL, object_URL);
}
};
FBB_proto.append = function(data) {
var bb = this.data;
if (Uint8Array && (data instanceof ArrayBuffer || data instanceof Uint8Array)) {
var
str = ""
, buf = new Uint8Array(data)
, i = 0
, buf_len = buf.length
;
for (; i < buf_len; i++) {
str += String.fromCharCode(buf[i]);
}
bb.push(str);
} else if (get_class(data) === "Blob" || get_class(data) === "File") {
if (FileReaderSync) {
var fr = new FileReaderSync;
bb.push(fr.readAsBinaryString(data));
} else {
throw new FileException("NOT_READABLE_ERR");
}
} else if (data instanceof FakeBlob) {
if (data.encoding === "base64" && atob) {
bb.push(atob(data.data));
} else if (data.encoding === "URI") {
bb.push(decodeURIComponent(data.data));
} else if (data.encoding === "raw") {
bb.push(data.data);
}
} else {
if (typeof data !== "string") {
data += "";
}
bb.push(unescape(encodeURIComponent(data)));
}
};
FBB_proto.getBlob = function(type) {
if (!arguments.length) {
type = null;
}
return new FakeBlob(this.data.join(""), type, "raw");
};
FBB_proto.toString = function() {
return "[object BlobBuilder]";
};
FB_proto.slice = function(start, end, type) {
var args = arguments.length;
if (args < 3) {
type = null;
}
return new FakeBlob(
this.data.slice(start, args > 1 ? end : this.data.length)
, type
, this.encoding
);
};
FB_proto.toString = function() {
return "[object Blob]";
};
FB_proto.close = function() {
this.size = this.data.length = 0;
};
return FakeBlobBuilder;
}(view));
view.Blob = function Blob(blobParts, options) {
var type = options ? (options.type || "") : "";
var builder = new BlobBuilder();
if (blobParts) {
for (var i = 0, len = blobParts.length; i < len; i++) {
builder.append(blobParts[i]);
}
}
return builder.getBlob(type);
};
}(typeof self !== "undefined" && self || typeof window !== "undefined" && window || this.content || this));
require('script-loader!file-saver');
require('script-loader!@/plugins/vendor/Blob');
import XLSX from 'xlsx'
function generateArray(table) {
var out = [];
var rows = table.querySelectorAll('tr');
var ranges = [];
for (var R = 0; R < rows.length; ++R) {
var outRow = [];
var row = rows[R];
var columns = row.querySelectorAll('td');
for (var C = 0; C < columns.length; ++C) {
var cell = columns[C];
var colspan = cell.getAttribute('colspan');
var rowspan = cell.getAttribute('rowspan');
var cellValue = cell.innerText;
if (cellValue !== "" && cellValue == +cellValue) cellValue = +cellValue;
ranges.forEach(function (range) {
if (R >= range.s.r && R <= range.e.r && outRow.length >= range.s.c && outRow.length <= range.e.c) {
for (var i = 0; i <= range.e.c - range.s.c; ++i) outRow.push(null);
}
});
if (rowspan || colspan) {
rowspan = rowspan || 1;
colspan = colspan || 1;
ranges.push({s: {r: R, c: outRow.length}, e: {r: R + rowspan - 1, c: outRow.length + colspan - 1}});
}
;
outRow.push(cellValue !== "" ? cellValue : null);
if (colspan) for (var k = 0; k < colspan - 1; ++k) outRow.push(null);
}
out.push(outRow);
}
return [out, ranges];
};
function datenum(v, date1904) {
if (date1904) v += 1462;
var epoch = Date.parse(v);
return (epoch - new Date(Date.UTC(1899, 11, 30))) / (24 * 60 * 60 * 1000);
}
function sheet_from_array_of_arrays(data, opts) {
var ws = {};
var range = {s: {c: 10000000, r: 10000000}, e: {c: 0, r: 0}};
for (var R = 0; R != data.length; ++R) {
for (var C = 0; C != data[R].length; ++C) {
if (range.s.r > R) range.s.r = R;
if (range.s.c > C) range.s.c = C;
if (range.e.r < R) range.e.r = R;
if (range.e.c < C) range.e.c = C;
var cell = {v: data[R][C]};
if (cell.v == null) continue;
var cell_ref = XLSX.utils.encode_cell({c: C, r: R});
if (typeof cell.v === 'number') cell.t = 'n';
else if (typeof cell.v === 'boolean') cell.t = 'b';
else if (cell.v instanceof Date) {
cell.t = 'n';
cell.z = XLSX.SSF._table[14];
cell.v = datenum(cell.v);
}
else cell.t = 's';
ws[cell_ref] = cell;
}
}
if (range.s.c < 10000000) ws['!ref'] = XLSX.utils.encode_range(range);
return ws;
}
function Workbook() {
if (!(this instanceof Workbook)) return new Workbook();
this.SheetNames = [];
this.Sheets = {};
}
function s2ab(s) {
var buf = new ArrayBuffer(s.length);
var view = new Uint8Array(buf);
for (var i = 0; i != s.length; ++i) view[i] = s.charCodeAt(i) & 0xFF;
return buf;
}
export function export_table_to_excel(id) {
var theTable = document.getElementById(id);
var oo = generateArray(theTable);
var ranges = oo[1];
var data = oo[0];
var ws_name = "SheetJS";
var wb = new Workbook(), ws = sheet_from_array_of_arrays(data);
ws['!merges'] = ranges;
wb.SheetNames.push(ws_name);
wb.Sheets[ws_name] = ws;
var wbout = XLSX.write(wb, {bookType: 'xlsx', bookSST: false, type: 'binary'});
saveAs(new Blob([s2ab(wbout)], {type: "application/octet-stream"}), "test.xlsx")
}
export function export_json_to_excel(th, jsonData, defaultTitle) {
var data = jsonData;
data.unshift(th);
var ws_name = "SheetJS";
var wb = new Workbook(), ws = sheet_from_array_of_arrays(data);
const colWidth = data.map(row => row.map(val => {
if (val == null) {
return {'wch': 10};
}
else if (val.toString().charCodeAt(0) > 255) {
return {'wch': val.toString().length * 2};
} else {
return {'wch': val.toString().length};
}
}))
let result = colWidth[0];
for (let i = 1; i < colWidth.length; i++) {
for (let j = 0; j < colWidth[i].length; j++) {
if (result[j]['wch'] < colWidth[i][j]['wch']) {
result[j]['wch'] = colWidth[i][j]['wch'];
}
}
}
ws['!cols'] = result;
wb.SheetNames.push(ws_name);
wb.Sheets[ws_name] = ws;
var wbout = XLSX.write(wb, {bookType: 'xlsx', bookSST: false, type: 'binary'});
var title = defaultTitle || '列表'
saveAs(new Blob([s2ab(wbout)], {type: "application/octet-stream"}), title + ".xlsx")
}
