一个jmeter自动化问题（对图片进行Base64、下载图片并保存到本地）

一微信好友的问题

上周，收到一微信好友的求助：jmeter做自动化，上一个请求返回结果里面有一个链接，这个链接对应了一张图片，下一个请求的入参之一是这张图片base64加密后的字符串。

思路是比较清晰的：先关联获取上一个请求返回的url，然后beanshell获取这张图片的字节流，转换为字节数组，最后进行base64加密获取加密后的字符串。

但是，ta的实现过程还是比较艰辛的，除了基础不够扎实，还遇到了坑，我简单复盘总结下。

jemter脚本

正则提取url

获取图片并加密

请求1返回的结果如下

请求2不成功，对加密后的字符串进行解码，只显示了一部分，怀疑是数据获取不完整。

问题验证

在beanshell中，不建议写过多脚本，因为没有代码提示以及错误提醒，建议在idea中写，然后在beanshell中引用java文件或者jar包的方式，参考：jmeter对入参进行MD5加密的5种方式。加密需要用到commons-codec-1.11.jar，jmeter已经自带，所以，我们可以直接在idea中引用，添加jar包：File——>Project Structure——>Libraries——>New Project Library(+)——>Java——>选择jar包（或者一个路径）——>选择要添加到模块——>最后，还可以为Library自定义一个名称

package com.qzcsbj;

import org.apache.commons.codec.binary.Base64;
import java.io.IOException;
import java.io.InputStream;
import java.net.MalformedURLException;
import java.net.URL;
import java.net.URLConnection;

/**
 * @create : 2021/4/12 06:30
 * @description : <描述>
 */
public class GetImageBase64 {
    public static String getImageBase64(String url) throws MalformedURLException {
        URL u = new URL(url);
        InputStream input = null;
        byte[] bytes = null;
        try {
            URLConnection urlConnection = u.openConnection();
            urlConnection.setConnectTimeout(10*1000);
            input = urlConnection.getInputStream();
            int contentLength = urlConnection.getContentLength();
            System.out.println("contentLength:" + contentLength);
            int available = input.available();
            System.out.println("available:" + available);
            bytes = new byte[available];
            input.read(bytes);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return Base64.encodeBase64String(bytes);
    }

    public static void main(String[] args) throws MalformedURLException {
        String url = "https://files-cdn.cnblogs.com/files/uncleyong/qzcsbj.bmp";
        String imageBase64 = getImageBase64(url);
        System.out.println(imageBase64);
    }
}

运行结果：

contentLength:8270
available:2625

说明读取到的字节数比实际的小，查看源码：urlConnection.getInputStream()返回的是InputStream

InputStream是一个抽象类

下面说用bytes = new byte[available];这种创建字节数组的方式是不可以的

但是，如果是读取本地图，用available方法可以，这是为什么呢？FileInputStream继承了抽象类InputStream

InputStream input = new FileInputStream("C:\\Users\\ren\\Desktop\\pic.png");

FileInputStream实现了available方法，最终是通过本地方法available0实现的。

解决方案

使用IOUtils类的copy方法：

package com.qzcsbj.demo;

import org.apache.commons.codec.binary.Base64;
import org.apache.tika.io.IOUtils;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.net.MalformedURLException;
import java.net.URL;
import java.net.URLConnection;

/**
 * @create : 2021/4/12 06:42
 * @description : <描述>
 */
public class GetImageBase64 {
    public static String getImageBase64(String url) throws MalformedURLException {
        URL u = new URL(url);
        InputStream input = null;
        byte[] bytes = null;
        try {
            URLConnection urlConnection = u.openConnection();
            urlConnection.setConnectTimeout(10*1000);
            input = urlConnection.getInputStream();
            ByteArrayOutputStream output = new ByteArrayOutputStream();
            IOUtils.copy(input, output);
            bytes = output.toByteArray();

        } catch (IOException e) {
            e.printStackTrace();
        }
        return Base64.encodeBase64String(bytes);
    }

    public static void main(String[] args) throws MalformedURLException {
        String url = "https://files-cdn.cnblogs.com/files/uncleyong/qzcsbj.bmp";
        String imageBase64 = getImageBase64(url);
        System.out.println(imageBase64);
    }
}

加密结果：

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