程式碼如下
upload元件的 afterRead 方法:
const afterRead = async file => {
file.status = "uploading";
file.message = "上傳中...";
const { data } = await upLoaderImg(file.file); //使用上傳的方法。file.file
if (data) {
file.status = "done";
// fileList.value.push(data);
} else {
file.status = "failed";
file.message = "上傳失敗";
}
};
共用檔案中的方法如下:
export const upLoaderImg = async (file) => {
let _file = file;
const maxSize = 200;
// 先壓縮 再上傳
if (file.size / 1024 > maxSize) {
const img = await readImg(file);
const base64Data = compress(img);
_file = dataURLtoFile(base64Data, file.name);
}
// file為 你讀取成功的回撥檔案資訊
// new 一個FormData格式的引數
let params = new FormData();
params.append("file", _file);
const config = {
headers: {
token: getToken()
}
};
return new Promise((resolve, reject) => {
axios
.post(`${baseURL}/upload`, params, config)
.then(res => {
if (res && res.data && res.status === 200) {
//如果為真 resolve出去
if (res.data.data) {
resolve(res.data);
} else {
showFailToast(res.data.message);
resolve(res.data);
}
} else {
//否則 showFailToast 提示
showFailToast("請求失敗");
resolve({});
}
})
.catch(err => {
console.log("err", err);
showFailToast("請求失敗");
resolve({});
});
});
};
const compress = img => {
let initSize = img.src.length;
let width = img.width;
let height = img.height;
//如果圖片大於四百萬畫素,計算壓縮比並將大小壓至400萬以下
let ratio;
if ((ratio = (width * height) / 4000000) > 1) {
ratio = Math.sqrt(ratio);
width /= ratio;
height /= ratio;
} else {
ratio = 1;
}
let canvas = document.createElement("canvas"),
ctx = canvas.getContext("2d");
let tCanvas = document.createElement("canvas"),
tctx = tCanvas.getContext("2d");
canvas.width = width;
canvas.height = height;
// 鋪底色
ctx.fillStyle = "#fff";
ctx.fillRect(0, 0, canvas.width, canvas.height);
//如果圖片畫素大於100萬則使用瓦片繪製
let count;
if ((count = (width * height) / 1000000) > 1) {
count = ~~(Math.sqrt(count) + 1); //計算要分成多少塊瓦片
// 計算每塊瓦片的寬和高
let nw = ~~(width / count);
let nh = ~~(height / count);
tCanvas.width = nw;
tCanvas.height = nh;
for (let i = 0; i < count; i++) {
for (let j = 0; j < count; j++) {
tctx.drawImage(
img,
i * nw * ratio,
j * nh * ratio,
nw * ratio,
nh * ratio,
0,
0,
nw,
nh
);
ctx.drawImage(tCanvas, i * nw, j * nh, nw, nh);
}
}
} else {
ctx.drawImage(img, 0, 0, width, height);
}
//進行最小壓縮
let ndata = canvas.toDataURL("image/jpeg", 0.1);
console.log("壓縮前:" + initSize);
console.log("壓縮後:" + ndata.length);
// console.log(
// "壓縮率:" + ~~((100 * (initSize - ndata.length)) / initSize) + "%"
// );
tCanvas.width = tCanvas.height = canvas.width = canvas.height = 0;
return ndata;
};
// File檔案轉為base64
const readImg = file => {
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = e => {
// 建立一個Image物件
const img = new Image();
img.src = e.target.result;
img.onload = () => {
// 獲取圖片寬度和高度
console.log(`圖片寬度: ${img.width}, 圖片高度: ${img.height}`);
// return img;
resolve(img);
};
};
// 以DataURL的形式讀取檔案內容
reader.readAsDataURL(file);
});
};
//將base64轉換為檔案
const dataURLtoFile = (dataurl, filename) => {
var arr = dataurl.split(","),
mime = arr[0].match(/:(.*?);/)[1],
bstr = atob(arr[1]),
n = bstr.length,
u8arr = new Uint8Array(n);
while (n--) {
u8arr[n] = bstr.charCodeAt(n);
}
return new File([u8arr], filename, { type: mime });
};