背景描述:最近在做一个移动端h5上传图片的功能,本来这个功能并不复杂,只需要将图片文件通过axios传到服务端即可,但是考虑到现在手机设配的拍照功能十分强大,随便一张照片都能动辄五六兆,而服务端的要求是上传图片必须小于两兆,而且直接传这么大图片,带宽它也受不了,所以前端进行压缩图片就成了一个必要的环节。
思路:
第一步: 图片选择触发change事件,先判断当前图片是否大于后台要求,如果大于,则压缩图片,否则,直接上传。
// 选择图片
handle (evt) {
const maxSize = 2 * 1024 * 1024
this.loading = true
const file = Array.prototype.slice.call(evt.target.files)[0]
let render = new FileReader()
render.readAsDataURL(file)
render.onload = (e) => {
if (file.size > maxSize) {
let img = new Image()
img.src = e.target.result
img.onload = () => {
const data = this.compress(img)
if (data.length > maxSize) {
this.$toast('上传图片过大')
} else {
this.upload(data, 'image/jpeg', file.name)
}
}
} else {
this.upload(e.target.result, file.type, file.name)
}
}
},
第二步:compress压缩方法
compress (img) {
// 用于压缩图片的canvas
let canvas = document.createElement("canvas")
let ctx = canvas.getContext('2d')
// 瓦片canvas
var tCanvas = document.createElement("canvas")
var tctx = tCanvas.getContext("2d")
let initSize = img.src.length
let width = img.width
let height = img.height
// 如果图片大于四百万像素,计算压缩比并将大小压至400万以下
var ratio
if ((ratio = width * height / 4000000) > 1) {
ratio = Math.sqrt(ratio)
width /= ratio
height /= ratio
} else {
ratio = 1
}
canvas.width = width
canvas.height = height
// 铺底色
ctx.fillStyle = "#fff"
ctx.fillRect(0, 0, canvas.width, canvas.height)
// 如果图片像素大于100万则使用瓦片绘制
var count
if ((count = width * height / 1000000) > 1) {
count = ~~(Math.sqrt(count) + 1) // 计算要分成多少块瓦片
// 计算每块瓦片的宽和高
var nw = ~~(width / count)
var nh = ~~(height / count)
tCanvas.width = nw
tCanvas.height = nh
for (var i = 0; i < count; i++) {
for (var j = 0; j < count; j++) {
tctx.drawImage(img, i * nw * ratio, j * nh * ratio, nw * ratio * 2, nh * ratio * 2, 0, 0, nw, nh)
ctx.drawImage(tCanvas, i * nw, j * nh, nw * 2, nh * 2)
}
}
} else {
ctx.drawImage(img, 0, 0, width * 2, height * 2)
}
// 进行最小压缩
let ndata = canvas.toDataURL('image/jpeg', 0.8)
console.log('压缩前:' + initSize)
console.log('压缩后:' + ndata.length)
console.log('压缩率:' + ~~(100 * (initSize - ndata.length) / initSize) + '%')
return ndata
},
第三步:上传图片
// 上传图片
upload(basestr, type, name){
let text = window.atob(basestr.split(",")[1])
let buffer = new ArrayBuffer(text.length)
let ubuffer = new Uint8Array(buffer)
for (let i = 0; i < text.length; i++) {
ubuffer[i] = text.charCodeAt(i)
}
let Builder = window.WebKitBlobBuilder || window.MozBlobBuilder
let blob
if (Builder) {
let builder = new Builder()
builder.append(buffer)
blob = builder.getBlob(type)
} else {
blob = new window.Blob([buffer], {type: type})
}
let formdata = new FormData()
formdata.append('file', blob)
formdata.append('certType', this.certType)
formdata.append('desCountryAreaCode', this.orderInfo.order.receiverCountryCode)
formdata.append('ieFlag', this.ieFlag)
formdata.append('postFlag', this.postFlag)
formdata.append('srcCountryAreaCode', this.orderInfo.order.senderCountryCode)
this.$httpExt().post(this.apiUrl.upload.uploadImg, formdata).then((res) => {
if (res.data && res.code == 0) {
this.imgList.push({
imgSrc: basestr,
fileNo: res.data[0]
})
this.$emit('update:imgList', this.imgList)
}
}).finally(() => {
this.loading = false
})
}