TaoLer/public/static/res/mods/imgcom.js

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/**
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images压缩扩展模块
changlin_zhao@qq.com
2021.5.25
**/
layui.define(['upload','layer'],function(exports){
var upload = layui.upload;
var layer = layui.layer;
var compressImage = {
uploads: function(obj){
//obj.preview(function(index, file, result){
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//执行实例
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var files = obj.pushFile();
var filesArry = [];
for (var key in files) { //将上传的文件转为数组形式
filesArry.push(files[key])
}
var index = filesArry.length - 1;
var file = filesArry[index]; //获取最后选择的图片,即处理多选情况
if (navigator.appName == "Microsoft Internet Explorer" && parseInt(navigator.appVersion.split(";")[1]
.replace(/[ ]/g, "").replace("MSIE", "")) < 9) {
return obj.upload(index, file)
}
canvasDataURL(file, function (blob) {
var aafile = new File([blob], file.name, {
type: file.type
})
var isLt1M;
if (file.size < aafile.size) {
isLt1M = file.size
} else {
isLt1M = aafile.size
}
if (isLt1M / 1024 / 1024 > 2) {
return layer.alert('上传图片过大!')
} else {
if (file.size < aafile.size) {
return obj.upload(index, file)
}
obj.upload(index, aafile)
}
})
function canvasDataURL(file, callback) { //压缩转化为base64
var reader = new FileReader()
reader.readAsDataURL(file)
reader.onload = function (e) {
const img = new Image()
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const quality = 0.8 // 图像质量
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const canvas = document.createElement('canvas')
const drawer = canvas.getContext('2d')
img.src = this.result
img.onload = function () {
var originWidth = img.width,/* 图片的宽度 */
originHeight = img.height; /* 图片的高度 */
// 设置最大尺寸限制将所有图片都压缩到小于1m
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const maxWidth = 2560, maxHeight = 1600;
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// 需要压缩的目标尺寸
let targetWidth = originWidth, targetHeight = originHeight;
// 等比例计算超过最大限制时缩放后的图片尺寸
if (originWidth > maxWidth || originHeight > maxHeight) {
if (originWidth / originHeight > 1) {
// 宽图片
targetWidth = maxWidth;
targetHeight = Math.round(maxWidth * (originHeight / originWidth));
} else {
// 高图片
targetHeight = maxHeight;
targetWidth = Math.round(maxHeight * (originWidth / originHeight));
}
}
canvas.width = targetWidth;
canvas.height = targetHeight;
drawer.drawImage(img, 0, 0, canvas.width, canvas.height)
convertBase64UrlToBlob(canvas.toDataURL(file.type, quality), callback);
}
}
}
function convertBase64UrlToBlob(urlData, callback) { //将base64转化为文件格式
const arr = urlData.split(',')
const mime = arr[0].match(/:(.*?);/)[1]
const bstr = atob(arr[1])
let n = bstr.length
const u8arr = new Uint8Array(n)
while (n--) {
u8arr[n] = bstr.charCodeAt(n)
}
callback(new Blob([u8arr], {
type: mime
}));
}
//})
}
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}
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//输出 imgcom 接口
exports('imgcom', compressImage);
});