1.导入功能实现
下载js-xlsx到dist复制出xlsx.full.min.js引入到页面中 然后通过FileReader对象读取文件利用js-xlsx转成json数据
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title></title>
<script src="http://oss.sheetjs.com/js-xlsx/xlsx.full.min.js"></script>
</head>
<body>
<input type="file"onchange="importf(this)" />
<div id="demo"></div>
<script>
/*
FileReader共有4种读取方法：
1.readAsArrayBuffer(file)：将文件读取为ArrayBuffer。
2.readAsBinaryString(file)：将文件读取为二进制字符串
3.readAsDataURL(file)：将文件读取为Data URL
4.readAsText(file, [encoding])：将文件读取为文本，encoding缺省值为'UTF-8'
*/
var wb;//读取完成的数据
var rABS = false; //是否将文件读取为二进制字符串
function importf(obj) {//导入
if(!obj.files) {
return;
}
var f = obj.files[0];
var reader = new FileReader();
reader.onload = function(e) {
var data = e.target.result;
if(rABS) {
wb = XLSX.read(btoa(fixdata(data)), {//手动转化
type: 'base64'
});
} else {
wb = XLSX.read(data, {
type: 'binary'
});
}
//wb.SheetNames[0]是获取Sheets中第一个Sheet的名字
//wb.Sheets[Sheet名]获取第一个Sheet的数据
document.getElementById("demo").innerHTML= JSON.stringify( XLSX.utils.sheet_to_json(wb.Sheets[wb.SheetNames[0]]) );
};
if(rABS) {
reader.readAsArrayBuffer(f);
} else {
reader.readAsBinaryString(f);
}
}
function fixdata(data) { //文件流转BinaryString
var o = "",
l = 0,
w = 10240;
for(; l < data.byteLength / w; ++l) o += String.fromCharCode.apply(null, new Uint8Array(data.slice(l * w, l * w + w)));
o += String.fromCharCode.apply(null, new Uint8Array(data.slice(l * w)));
return o;
}
</script>
</body>
</html>
2.导出功能的实现
同样引入js-xlsx
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title></title>
<script src="http://oss.sheetjs.com/js-xlsx/xlsx.full.min.js"></script>
</head>
<body>
<button onclick="downloadExl(jsono)">导出</button>
<!--
以下a标签不需要内容
-->
<a href="" download="这里是下载的文件名.xlsx" id="hf"></a>
<script>
var jsono = [{ //测试数据
"保质期临期预警(天)": "adventLifecycle",
"商品标题": "title",
"建议零售价": "defaultPrice",
"高(cm)": "height",
"商品描述": "Description",
"保质期禁售(天)": "lockupLifecycle",
"商品名称": "skuName",
"商品简介": "brief",
"宽(cm)": "width",
"阿达": "asdz",
"货号": "goodsNo",
"商品条码": "skuNo",
"商品品牌": "brand",
"净容积(cm^3)": "netVolume",
"是否保质期管理": "isShelfLifeMgmt",
"是否串号管理": "isSNMgmt",
"商品颜色": "color",
"尺码": "size",
"是否批次管理": "isBatchMgmt",
"商品编号": "skuCode",
"商品简称": "shortName",
"毛重(g)": "grossWeight",
"长(cm)": "length",
"英文名称": "englishName",
"净重(g)": "netWeight",
"商品分类": "categoryId",
"这里超过了": 1111.0,
"保质期(天)": "expDate"
}];
var tmpDown; //导出的二进制对象
function downloadExl(json, type) {
var tmpdata = json[0];
json.unshift({});
var keyMap = []; //获取keys
for (var k in tmpdata) {
keyMap.push(k);
json[0][k] = k;
}
var tmpdata = [];//用来保存转换好的json
json.map((v, i) => keyMap.map((k, j) => Object.assign({}, {
v: v[k],
position: (j > 25 ? getCharCol(j) : String.fromCharCode(65 + j)) + (i + 1)
}))).reduce((prev, next) => prev.concat(next)).forEach((v, i) => tmpdata[v.position] = {
v: v.v
});
var outputPos = Object.keys(tmpdata); //设置区域,比如表格从A1到D10
var tmpWB = {
SheetNames: ['mySheet'], //保存的表标题
Sheets: {
'mySheet': Object.assign({},
tmpdata, //内容
{
'!ref': outputPos[0] + ':' + outputPos[outputPos.length - 1] //设置填充区域
})
}
};
tmpDown = new Blob([s2ab(XLSX.write(tmpWB,
{bookType: (type == undefined ? 'xlsx':type),bookSST: false, type: 'binary'}//这里的数据是用来定义导出的格式类型
))], {
type: ""
}); //创建二进制对象写入转换好的字节流
var href = URL.createObjectURL(tmpDown); //创建对象超链接
document.getElementById("hf").href = href; //绑定a标签
document.getElementById("hf").click(); //模拟点击实现下载
setTimeout(function() { //延时释放
URL.revokeObjectURL(tmpDown); //用URL.revokeObjectURL()来释放这个object URL
}, 100);
}
function s2ab(s) { //字符串转字符流
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;
}
// 将指定的自然数转换为26进制表示。映射关系：[0-25] -> [A-Z]。
function getCharCol(n) {
let temCol = '',
s = '',
m = 0
while (n > 0) {
m = n % 26 + 1
s = String.fromCharCode(m + 64) + s
n = (n - m) / 26
}
return s
}
</script>
</body>
</html>
3.使用Python将excel转成Json创建测试数据
import sys
import xlrd
import json
file =sys.argv[1]
data = xlrd.open_workbook(file)
table=data.sheets()[0]
def haveNoIndex(table):
returnData=[]
keyMap=table.row_values(0)
for i in range(table.nrows):#row
tmpmp={}
tmpInd=0
for k in table.row_values(i):
tmpmp[keyMap[tmpInd]]=k
tmpInd=tmpInd+1
returnData.append(tmpmp);
return json.dumps(returnData,ensure_ascii=False,indent=2)
returnJson= haveNoIndex(table)
fp = open(file+".json","w",encoding='utf-8')
fp.write(returnJson)
fp.close()
import sys
import xlrd
import json
file =sys.argv[1]
data = xlrd.open_workbook(file)
table=data.sheets()[0]
def haveNoIndex(table):
returnData=[]
keyMap=table.row_values(0)
for i in range(table.nrows):#row
tmpmp={}
tmpInd=0
for k in table.row_values(i):
tmpmp[keyMap[tmpInd]]=k
tmpInd=tmpInd+1
returnData.append(tmpmp);
return json.dumps(returnData,ensure_ascii=False,indent=2)
returnJson= haveNoIndex(table)
fp = open(file+".json","w",encoding='utf-8')
fp.write(returnJson)
fp.close()
导出示例的测试数据已经含有表头了如果没有表头可以直接将json中的遍历第一条数据的key创建一个value=key（{key:key}）插入到json第一条就可以了
