一. 场景简介
仿12306项目中,在高并发抢票时,可以利用验证码功能,削弱瞬时的请求高峰。但如果仅仅用后端验证码,又会导致瞬时对验证码验证接口产生巨大请求,因此可以再加一层前端验证码,双重验证码机制。同时也能防止机器人刷票现象
二. 通过kaptcha实现后端验证码功能
1. 引入依赖
<!-- 图形验证码 升级到JDK17后,排除掉javax.servlet-api包 -->
<dependency>
<groupId>com.github.penggle</groupId>
<artifactId>kaptcha</artifactId>
<version>2.3.2</version>
<exclusions>
<exclusion>
<groupId>javax.servlet</groupId>
<artifactId>javax.servlet-api</artifactId>
</exclusion>
</exclusions>
</dependency>
2. 增加配置类
KaptchaConfig.java:
@Configuration
public class KaptchaConfig {
@Bean
public DefaultKaptcha getDefaultKaptcha() {
DefaultKaptcha defaultKaptcha = new DefaultKaptcha();
Properties properties = new Properties();
properties.setProperty("kaptcha.border", "no");
// properties.setProperty("kaptcha.border.color", "105,179,90");
properties.setProperty("kaptcha.textproducer.font.color", "blue");
properties.setProperty("kaptcha.image.width", "90");
properties.setProperty("kaptcha.image.height", "28");
properties.setProperty("kaptcha.textproducer.font.size", "20");
properties.setProperty("kaptcha.session.key", "code");
properties.setProperty("kaptcha.textproducer.char.length", "4");
properties.setProperty("kaptcha.textproducer.font.names", "Arial");
properties.setProperty("kaptcha.noise.color", "255,96,0");
properties.setProperty("kaptcha.noise.impl", "com.google.code.kaptcha.impl.NoNoise");
// properties.setProperty("kaptcha.obscurificator.impl", "com.google.code.kaptcha.impl.WaterRipple");
properties.setProperty("kaptcha.obscurificator.impl", KaptchaWaterRipple.class.getName());
properties.setProperty("kaptcha.background.impl", KaptchaNoBackhround.class.getName());
Config config = new Config(properties);
defaultKaptcha.setConfig(config);
return defaultKaptcha;
}
@Bean
public DefaultKaptcha getWebKaptcha() {
DefaultKaptcha defaultKaptcha = new DefaultKaptcha();
Properties properties = new Properties();
properties.setProperty("kaptcha.border", "no");
// properties.setProperty("kaptcha.border.color", "105,179,90");
properties.setProperty("kaptcha.textproducer.font.color", "blue");
properties.setProperty("kaptcha.image.width", "90");
properties.setProperty("kaptcha.image.height", "45");
properties.setProperty("kaptcha.textproducer.font.size", "30");
properties.setProperty("kaptcha.session.key", "code");
properties.setProperty("kaptcha.textproducer.char.length", "4");
properties.setProperty("kaptcha.textproducer.font.names", "Arial");
properties.setProperty("kaptcha.noise.impl", "com.google.code.kaptcha.impl.NoNoise");
properties.setProperty("kaptcha.obscurificator.impl", KaptchaWaterRipple.class.getName());
Config config = new Config(properties);
defaultKaptcha.setConfig(config);
return defaultKaptcha;
}
}
KaptchaNoBackhround.java:
public class KaptchaNoBackhround extends Configurable implements BackgroundProducer {
public KaptchaNoBackhround(){
}
@Override
public BufferedImage addBackground(BufferedImage baseImage) {
int width = baseImage.getWidth();
int height = baseImage.getHeight();
BufferedImage imageWithBackground = new BufferedImage(width, height, 1);
Graphics2D graph = (Graphics2D)imageWithBackground.getGraphics();
graph.fill(new Rectangle2D.Double(0.0D, 0.0D, (double)width, (double)height));
graph.drawImage(baseImage, 0, 0, null);
return imageWithBackground;
}
}
KaptchaWaterRipple.java:
public class KaptchaWaterRipple extends Configurable implements GimpyEngine {
public KaptchaWaterRipple(){}
@Override
public BufferedImage getDistortedImage(BufferedImage baseImage) {
NoiseProducer noiseProducer = this.getConfig().getNoiseImpl();
BufferedImage distortedImage = new BufferedImage(baseImage.getWidth(), baseImage.getHeight(), 2);
Graphics2D graph = (Graphics2D)distortedImage.getGraphics();
Random rand = new Random();
RippleFilter rippleFilter = new RippleFilter();
rippleFilter.setXAmplitude(7.6F);
rippleFilter.setYAmplitude(rand.nextFloat() + 1.0F);
rippleFilter.setEdgeAction(1);
BufferedImage effectImage = rippleFilter.filter(baseImage, (BufferedImage)null);
graph.drawImage(effectImage, 0, 0, (Color)null, (ImageObserver)null);
graph.dispose();
noiseProducer.makeNoise(distortedImage, 0.1F, 0.1F, 0.25F, 0.25F);
noiseProducer.makeNoise(distortedImage, 0.1F, 0.25F, 0.5F, 0.9F);
return distortedImage;
}
}
3. 增加后端接口类
KaptchaController.java:
@RestController
@RequestMapping("/kaptcha")
public class KaptchaController {
@Qualifier("getDefaultKaptcha")
@Autowired
DefaultKaptcha defaultKaptcha;
@Resource
public StringRedisTemplate stringRedisTemplate;
@GetMapping("/image-code/{imageCodeToken}")
public void imageCode(@PathVariable(value = "imageCodeToken") String imageCodeToken, HttpServletResponse httpServletResponse) throws Exception{
ByteArrayOutputStream jpegOutputStream = new ByteArrayOutputStream();
try {
// 生成验证码字符串
String createText = defaultKaptcha.createText();
// 将生成的验证码放入redis缓存中,后续验证的时候用到
stringRedisTemplate.opsForValue().set(imageCodeToken, createText, 300, TimeUnit.SECONDS);
// 使用验证码字符串生成验证码图片
BufferedImage challenge = defaultKaptcha.createImage(createText);
ImageIO.write(challenge, "jpg", jpegOutputStream);
} catch (IllegalArgumentException e) {
httpServletResponse.sendError(HttpServletResponse.SC_NOT_FOUND);
return;
}
// 定义response输出类型为image/jpeg类型,使用response输出流输出图片的byte数组
byte[] captchaChallengeAsJpeg = jpegOutputStream.toByteArray();
httpServletResponse.setHeader("Cache-Control", "no-store");
httpServletResponse.setHeader("Pragma", "no-cache");
httpServletResponse.setDateHeader("Expires", 0);
httpServletResponse.setContentType("image/jpeg");
ServletOutputStream responseOutputStream = httpServletResponse.getOutputStream();
responseOutputStream.write(captchaChallengeAsJpeg);
responseOutputStream.flush();
responseOutputStream.close();
}
}
这样就完成了后端验证码验证功能,接下来只需要前端传入生成的用户token即可,用来对应验证码和所属者。
三. 纯前端验证码
如果仅设计后端验证码,那可能会瞬时大量请求对验证码验证接口产生巨大压力,因此可以再多一层纯前端验证码。将纯前端验证码座位第一层验证码,将后端验证码作为第二层验证码
代码示例
第一层验证码:
/* ------------------- 第一层验证码 --------------------- */
const firstImageCodeSourceA = ref();
const firstImageCodeSourceB = ref();
const firstImageCodeTarget = ref();
const firstImageCodeModalVisible = ref();
/**
* 加载第一层验证码
*/
const loadFirstImageCode = () => {
// 获取1~10的数:Math.floor(Math.random()*10 + 1)
firstImageCodeSourceA.value = Math.floor(Math.random()*10 + 1) + 10;
firstImageCodeSourceB.value = Math.floor(Math.random()*10 + 1) + 20;
};
/**
* 显示第一层验证码弹出框
*/
const showFirstImageCodeModal = () => {
loadFirstImageCode();
firstImageCodeModalVisible.value = true;
};
/**
* 校验第一层验证码
*/
const validFirstImageCode = () => {
if (parseInt(firstImageCodeTarget.value) === parseInt(firstImageCodeSourceA.value + firstImageCodeSourceB.value)) {
// 第一层验证通过
firstImageCodeModalVisible.value = false;
showImageCodeModal();
} else {
notification.error({description: '验证码错误'});
}
};
第二层验证码:
/* ------------------- 第二层验证码 --------------------- */
const imageCodeModalVisible = ref();
const imageCodeToken = ref();
const imageCodeSrc = ref();
const imageCode = ref();
/**
* 加载图形验证码
*/
const loadImageCode = () => {
imageCodeToken.value = Tool.uuid(8);
imageCodeSrc.value = process.env.VUE_APP_SERVER + '/business/kaptcha/image-code/' + imageCodeToken.value;
};
const showImageCodeModal = () => {
loadImageCode();
imageCodeModalVisible.value = true;
};
四. 效果演示
点击确认订单,先跳出第一层验证码:
回答正确后跳出第二层图形验证码:
最后都正确了才会进入购票业务处理。