具体效果如下:
第一步:工具类
该工具类为生成验证码图片的核心,直接拷贝到项目即可,无需做修改;可个性化的参数全部对外提供的API,比如 字体大小,背景颜色,干扰线数量,高宽等都可以根据自己的需求设置对应参数;
代码几乎每一行都加了详细的注释;如果遇上特殊的个性化需求,调整一下这个工具类即可实现。
package .feng.util;/** * @return null * @author Ladidol * @description * @date 2022/4/11 22:15 */import java.awt.*;import java.awt.geom.AffineTransform;import java.awt.image.BufferedImage;import java.util.Random;/** * 图形验证码生成 */public class VerifyUtil { // 默认验证码字符集 private static final char[] chars = { ‘0’, ‘1’, ‘2’, ‘3’, ‘4’, ‘5’, ‘6’, ‘7’, ‘8’, ‘9’, ‘a’, ‘b’, ‘c’, ‘d’, ‘e’, ‘f’, ‘g’, ‘h’, ‘i’, ‘j’, ‘k’, ‘l’, ‘m’, ‘n’, ‘o’, ‘p’, ‘q’, ‘r’, ‘s’, ‘t’, ‘u’, ‘v’, ‘w’, ‘x’, ‘y’, ‘z’, ‘A’, ‘B’, ‘C’, ‘D’, ‘E’, ‘F’, ‘G’, ‘H’, ‘I’, ‘J’, ‘K’, ‘L’, ‘M’, ‘N’, ‘O’, ‘P’, ‘Q’, ‘R’, ‘S’, ‘T’, ‘U’, ‘V’, ‘W’, ‘X’, ‘Y’, ‘Z’}; // 默认字符数量 private final Integer SIZE; // 默认干扰线数量 private final int LINES; // 默认宽度 private final int WIDTH; // 默认高度 private final int HEIGHT; // 默认字体大小 private final int FONT_SIZE; // 默认字体倾斜 private final boolean TILT; private final Color BACKGROUND_COLOR; /** * 初始化基础参数 * * @param builder */ private VerifyUtil(Builder builder) { SIZE = builder.size; LINES = builder.lines; WIDTH = builder.width; HEIGHT = builder.height; FONT_SIZE = builder.fontSize; TILT = builder.tilt; BACKGROUND_COLOR = builder.backgroundColor; } /** * 实例化构造器对象 * * @return */ public static Builder newBuilder() { return new Builder(); } /** * @return 生成随机验证码及图片 * Object[0]:验证码字符串; * Object[1]:验证码图片。 */ public Object[] createImage() { StringBuffer sb = new StringBuffer(); // 创建空白图片 BufferedImage image = new BufferedImage(WIDTH, HEIGHT, BufferedImage.TYPE_INT_RGB); // 获取图片画笔 Graphics2D graphic = image.createGraphics(); // 设置抗锯齿 graphic.setRenderingHint(RenderingHints.KEY_ANTIALIASING, RenderingHints.VALUE_ANTIALIAS_ON); // 设置画笔颜色 graphic.setColor(BACKGROUND_COLOR); // 绘制矩形背景 graphic.fillRect(0, 0, WIDTH, HEIGHT); // 画随机字符 Random ran = new Random(); //graphic.setBackground(Color.WHITE); // 计算每个字符占的宽度,这里预留一个字符的位置用于左右边距 int codeWidth = WIDTH / (SIZE + 1); // 字符所处的y轴的坐标 int y = HEIGHT * 3 / 4; for (int i = 0; i <h3>第二步:图片生成:</h3><p>使用默认参数:</p><pre class="brush:java;">//生成图片验证码Object[] verify = VerifyUtil.newBuilder().build().createImage();
自定义参数生成:
// 这个根据自己的需要设置对应的参数来实现个性化// 返回的数组第一个参数是生成的验证码,第二个参数是生成的图片Object[] objs = VerifyUtil.newBuilder() .setWidth(120) //设置图片的宽度 .setHeight(35) //设置图片的高度 .setSize(6) //设置字符的个数 .setLines(10) //设置干扰线的条数 .setFontSize(25) //设置字体的大小 .setTilt(true) //设置是否需要倾斜 .setBackgroundColor(Color.WHITE) //设置验证码的背景颜色 .build() //构建VerifyUtil项目 .createImage(); //生成图片
整合到springboot项目中:
需要引入的maven依赖:
<!–redis相关配置–> <dependency> <groupid>org.springframework.boot</groupid> <artifactid>spring-boot-starter-data-redis</artifactid> </dependency> <!– redis 连接池 –> <!–新版本连接池lettuce–> <dependency> <groupid>org.apache.mons</groupid> <artifactid>mons-pool2</artifactid> </dependency> <!– 图形验证码 –> <dependency> <groupid>net.jodah</groupid> <artifactid>expiringmap</artifactid> <version>0.5.10</version> </dependency>
获取相关的验证码:
service层:
package .feng.service;import org.cuit.epoch.result.Result;import javax.servlet.http.HttpServletRequest;import javax.servlet.http.HttpServletResponse;import java.io.IOException;/** * @return null * @author Ladidol * @description * @date 2022/4/11 22:15 */public interface VerifyService { /** * 创建图片验证码 * @param response * @param request * @throws IOException */ void createCode(HttpServletResponse response, HttpServletRequest request) throws IOException; /** * 检查图片验证码 * @param * @param * @throws IOException */ Result<string> checkCode(String verificationCode);}</string>
serviceimpl层:
package .feng.service.impl;import .feng.service.VerifyService;import .feng.util.RedisServiceImpl;import .google.mon.net.HttpHeaders;import .feng.util.VerifyUtil;import org.springframework.http.ResponseCookie;import org.springframework.stereotype.Service;import javax.annotation.Resource;import javax.imageio.ImageIO;import javax.servlet.http.HttpServletRequest;import javax.servlet.http.HttpServletResponse;import javax.servlet.http.HttpSession;import java.awt.image.BufferedImage;import java.io.IOException;import java.io.OutputStream;import java.time.Duration;/** * @return null * @author Ladidol * @description * @date 2022/4/11 22:15 */@Servicepublic class VerifyServiceImpl implements VerifyService { @Resource RedisServiceImpl redisUtil; /** * 生成图片验证码 * @param response * @param request * @throws IOException */ @Override public void createCode(HttpServletResponse response, HttpServletRequest request) throws IOException { //获取session HttpSession session = request.getSession(); //获得sessionId String id = session.getId(); System.out.println(); ResponseCookie cookie = ResponseCookie.from("JSESSIONID",id) .secure(true) .domain("") .path("/") .maxAge(Duration.ofHours(1)) .sameSite("None") .build(); //清除之前缓存的图片验证码 if (!String.valueOf(request.getSession().getAttribute("SESSION_VERIFY_CODE_"+id)).isEmpty()){ String getVerify = String.valueOf(request.getSession().getAttribute("SESSION_VERIFY_CODE_"+id)); redisUtil.del(getVerify); System.out.println("清除成功"); } //生成图片验证码,用的默认参数 Object[] verify = VerifyUtil.newBuilder().build().createImage(); //将验证码存入session session.setAttribute("SESSION_VERIFY_CODE_" + id, verify[0]); //打印验证码 System.out.println(verify[0]); //将验证码存入redis redisUtil.set((String) verify[0],id,5*60); //将图片传给浏览器 BufferedImage image = (BufferedImage) verify[1]; response.setContentType("image/png"); response.setHeader(HttpHeaders.SET_COOKIE,cookie.toString()); OutputStream ops = response.getOutputStream(); ImageIO.write(image,"png",ops); } @Override public Result<string> checkCode(String verificationCode){ if (!redisUtil.hasKey(verificationCode)){ return new Result(false,"验证码错误"); } redisUtil.del(verificationCode); return R.success(); }}</string>
这里面还会用到redis相关的工具类,我就不列出来了,想要的话可以看我以前的博客工具类戳这里
controller层:
这里有用到@RequiredArgsConstructor, 就是简单的注入而已, 如果想要详细了解戳这里
package .feng.controller;import lombok.RequiredArgsConstructor;import .feng.annotation.LimitRequest;import .feng.service.VerifyService;import org.springframework.web.bind.annotation.*;import javax.servlet.http.HttpServletRequest;import javax.servlet.http.HttpServletResponse;import java.io.IOException;/** * @return null * @author Ladidol * @description 这里主要就是多种验证码和登录相关的东西 * @date 2022/4/11 21:46 */@RestController@RequestMapping("/verify")@RequiredArgsConstructor//这是在lombok工具给的注入方式,真帅public class VerifyController { private final VerifyService verifyService; /** * 获取图片验证码 */ @LimitRequest(count = 5)//这个注解就是表示, 你在限制时间里(我们这里默认是六秒钟), 只能请求五次 @GetMapping("/getCode") public void getCode(HttpServletResponse response, HttpServletRequest request) throws IOException { verifyService.createCode(response, request); } @LimitRequest(count = 5)//这个注解就是表示, 你在限制时间里(我们这里默认是六秒钟), 只能请求五次 @GetMapping("/checkCode") public Result<string> checkCode(String code){ return verifyService.checkCode(code); }}</string>
这里为了不被一直无限制的访问该服务, 我们用了一个限制ip访问次数的注解@LimitRequest
annotion包下的注解类:
package .feng.annotation;import java.lang.annotation.*;/** * @return null * @author Ladidol * @description 限制ip访问次数注解 * @date 2022/4/11 22:15 */@Documented@Target(ElementType.METHOD) // 说明该注解只能放在方法上面@Retention(RetentionPolicy.RUNTIME)public @interface LimitRequest { long time() default 6000; // 限制时间 单位:毫秒 int count() default 3; // 允许请求的次数}
aspect包下的切面类:
package .feng.aspect;import net.jodah.expiringmap.ExpirationPolicy;import net.jodah.expiringmap.ExpiringMap;import org.aspectj.lang.ProceedingJoinPoint;import org.aspectj.lang.annotation.Around;import org.aspectj.lang.annotation.Aspect;import org.aspectj.lang.annotation.Pointcut;import .feng.annotation.LimitRequest;import org.cuit.epoch.exception.AppException;import org.springframework.stereotype.Component;import org.springframework.web.context.request.RequestAttributes;import org.springframework.web.context.request.RequestContextHolder;import org.springframework.web.context.request.ServletRequestAttributes;import javax.servlet.http.HttpServletRequest;import java.util.concurrent.ConcurrentHashMap;import java.util.concurrent.TimeUnit;/** * @return null * @author Ladidol * @description * @date 2022/4/11 22:15 */@Aspect@Componentpublic class LimitRequestAspect { private static ConcurrentHashMap<string>> book = new ConcurrentHashMap(); // 定义切点 // 让所有有@LimitRequest注解的方法都执行切面方法 @Pointcut("@annotation(limitRequest)") public void excudeService(LimitRequest limitRequest) { } @Around("excudeService(limitRequest)") public Object doAround(ProceedingJoinPoint pjp, LimitRequest limitRequest) throws Throwable { // 获得request对象 RequestAttributes ra = RequestContextHolder.getRequestAttributes(); ServletRequestAttributes sra = (ServletRequestAttributes) ra; HttpServletRequest request = sra.getRequest(); // 获取Map对象, 如果没有则返回默认值 // 第一个参数是key, 第二个参数是默认值 ExpiringMap<string> uc = book.getOrDefault(request.getRequestURI(), ExpiringMap.builder().variableExpiration().build()); Integer uCount = uc.getOrDefault(request.getRemoteAddr(), 0); if (uCount >= limitRequest.count()) { // 超过次数,不执行目标方法 System.out.println("接口请求超过次数!"); throw new AppException("接口请求超过次数!"); } else if (uCount == 0) { // 第一次请求时,设置有效时间// uc.put(request.getRemoteAddr(), uCount + 1, ExpirationPolicy.CREATED, limitRequest.time(), TimeUnit.MILLISECONDS); } else { // 未超过次数, 记录加一 uc.put(request.getRemoteAddr(), uCount + 1); } book.put(request.getRequestURI(), uc); // result的值就是被拦截方法的返回值 Object result = pjp.proceed(); return result; }}</string></string>
为了捕获全局的异常抛出, 且符合restful规范我们加一个这个处理类:
handle包下面的全局异常类:
package org.cuit.epoch.handler;import lombok.extern.log4j.Log4j2;import org.cuit.epoch.exception.AppException;import org.cuit.epoch.result.R;import org.cuit.epoch.result.Result;import org.springframework.web.bind.annotation.ControllerAdvice;import org.springframework.web.bind.annotation.ExceptionHandler;import org.springframework.web.bind.annotation.ResponseBody;@ControllerAdvice@Log4j2public class GlobalExceptionHandler { @ExceptionHandler(Exception.class) @ResponseBody public Result error(Exception e) { log.error(e.getMessage()); e.printStackTrace(); return R.fail(e.getMessage()); } @ExceptionHandler(AppException.class) @ResponseBody public Result error(AppException e) { log.error(e.getMessage()); e.printStackTrace(); return R.fail(e.getMessage()); }}
application.yaml文件:
spring: cache: type: redis redis: #redis连接配置 host: 自己redis的ip地址 port: redis端口 password: 密码 jedis: pool: max-active: 8 max-wait: -1ms max-idle: 500 min-idle: 0 lettuce: shutdown-timeout: 0ms
最终项目结构如下:
先得到一个验证码:
验证一下是否成功:
成功结果:
验证失败结果:
当请求在规定时间内的请求数超过规定的数量时或有报错:
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