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前端常用的小函数(2)---图片的处理

前端常用的小函数(2)---图片的处理

作者: Null_大大 | 来源:发表于2018-08-15 12:14 被阅读4次
    • 需求背景

    需要从服务器读取图片到页面(图片大小未知),或者上传图片到服务器(图片体积过大,需要压缩) ,此外后端可能能对post请求有设置。

    知识罗列

    1.从URL 读取图片信息
    2.从本地上传图片
    3.前端图片压缩
    4.canvas 压缩图片的处理
    5.base64转Blob

    -Talk is cheap, show me your code

    handleChange = async (e, compressRatio = 0.5) => {
      const file = e.target.files[0];
      const { base64file, paddingTop } = await handleFile(file);
      const { compressedBase64File } = await handleCompressFile(
        file,
        compressRatio
      );
      const origin = base64toBlob(base64file);
      const compress = base64toBlob(compressedBase64File);
      const originSize = (origin.size / 1000).toFixed(2);
      const compressSize = (compress.size / 1000).toFixed(2);
      const compressRate = `${(
        (originSize - compressSize) /
        originSize *
        100
      ).toFixed(2)}%`;
      return {
        originStyle: {
          backgroundImage: `url(${base64file})`,
          paddingTop
        },
        compressStyle: {
          backgroundImage: `url(${compressedBase64File})`,
          paddingTop
        },
        originSize,
        compressSize,
        compressRate
      };
    };
    
    // 获取原始图片信息
    handleFile = async file => {
      const { originFile, base64file, originSize } = await getBase64File(file);
      const { width, height } = await getImageParams(base64file);
      const paddingTop = `${height / width * 100}%`;
      return { originFile, base64file, originSize, width, height, paddingTop };
    };
    
    // 获取压缩图片信息
    handleCompressFile = async (file, compressRatio) => {
      const { base64file } = await getBase64File(file);
      const { width, height } = await getImageParams(base64file);
      const targetWidth = width * compressRatio;
      const targetHeight = height * compressRatio;
      // 创建Image 对象
      const image = new Image();
      image.src = base64file;
      // 创建画布
      const canvas = document.createElement("canvas");
      const context = canvas.getContext("2d");
      canvas.width = targetWidth;
      canvas.height = targetHeight;
    
      context.fillStyle = "rgba(255,255,255,1)";
      context.fillRect(0, 0, targetWidth, targetHeight);
      context.drawImage(image, 0, 0, targetWidth, targetHeight);
      const compressedBase64File = canvas.toDataURL("image/jpeg", compressRatio);
      return { compressedBase64File };
    };
    
    // file 2 base64
    getBase64File = file =>
    new Promise((resolve, reject) => {
      const reader = new FileReader();
      const result = {};
      reader.readAsDataURL(file);
      reader.onload = () => {
        result.base64file = reader.result;
        result.originFile = file;
        result.originSize = file.size;
        resolve(result);
      };
      reader.onerror = error => reject(error);
    });
    
    // 通过base64file获取图像尺寸(把base64file换成图片的url,即可通过url获取图片信息,常用来加载cdn的未知图片)
    getImageParams = base64file =>
    new Promise((resolve, reject) => {
      const image = new Image();
      image.src = base64file;
      image.onload = function() {
        const width = this.width;
        const height = this.height;
        resolve({ width, height });
      };
      image.onerror = error => reject(error);
    });
    
    // 由于后端post请求的限制 ,可以根据具体情况确定是否 需要把 base64转为 blob
    base64toBlob = (base64file, contentType = "image/jpg", sliceSize = 512) => {
      // 参考 https://stackoverflow.com/questions/16245767/creating-a-blob-from-a-base64-string-in-javascript
      const byteCharacters = atob(base64file.split(",")[1]);
      const byteArrays = [];
      for (let offset = 0; offset < byteCharacters.length; offset += sliceSize) {
        const slice = byteCharacters.slice(offset, offset + sliceSize);
        const byteNumbers = new Array(slice.length);
        for (let i = 0; i < slice.length; i += 1) {
          byteNumbers[i] = slice.charCodeAt(i);
        }
        const byteArray = new Uint8Array(byteNumbers);
        byteArrays.push(byteArray);
      }
      return new Blob(byteArrays, { type: contentType });
    };
    
    $(function() {
      $("#file").on("change", async function(e) {
        const {
          originStyle,
          compressStyle,
          originSize,
          compressSize,
          compressRate
        } = await handleChange(e);
    
        // 原始图片预览
        $(".origin").css({
          "padding-top": originStyle.paddingTop,
          "background-image": originStyle.backgroundImage
        });
        // 压缩图片
        $(".compress").css({
          "padding-top": compressStyle.paddingTop,
          "background-image": compressStyle.backgroundImage
        });
    
        // 信息展示
        $(".massage").html(`
    <div>原始图片大小:${originSize}k</div>
    <div>压缩图片大小:${compressSize}k</div>
    <div>压缩比:${compressRate}</div>
    `);
      });
    });
    

    在线demo

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