上文中不同用户通过数据库查询解决了登录验证的问题。那已经登录的用户访问例如用户中心的时候,希望通过token(成功登陆发放的临时token)来维持登录状态。访问登录资源。那么这个token的校验就应该在每次处理请求之前。于是就有了拦截器与过滤器
前置条件
- java基础知识,maven的使用
- jdk的基本了解
- mysql的使用
- spring boot 框架总体设计概念
- http协议的基本了解
- redis基本使用
Redis的使用
在实现拦截器与过滤之前,我们先简单接入一下redis 新建 utils 目录 现在的目录结构如下
redis工具类代码(简单接入)
package com.example.utils;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
import javax.annotation.Resource;
import java.util.Collection;
import java.util.concurrent.TimeUnit;
@Component
public class RedisUtils {
@Resource
private RedisTemplate<String, Object> redisTemplate;
/**
* 指定缓存失效时间
*
* @param key 键
* @param time 时间(秒)
* @return
*/
public boolean expire(String key, long time) {
try {
if (time > 0) {
redisTemplate.expire(key, time, TimeUnit.SECONDS);
}
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
/**
* 根据key 获取过期时间
*
* @param key 键 不能为null
* @return 时间(秒) 返回0代表为永久有效
*/
public long getExpire(String key) {
return redisTemplate.getExpire(key, TimeUnit.SECONDS);
}
/**
* 判断key是否存在
*
* @param key 键
* @return true 存在 false不存在
*/
public boolean hasKey(String key) {
try {
return redisTemplate.hasKey(key);
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
/**
* 删除缓存
*
* @param key 可以传一个值 或多个
*/
@SuppressWarnings("unchecked")
public void del(String... key) {
if (key != null && key.length > 0) {
if (key.length == 1) {
redisTemplate.delete(key[0]);
} else {
redisTemplate.delete((Collection<String>) CollectionUtils.arrayToList(key));
}
}
}
/**
* 普通缓存获取
*
* @param key 键
* @return 值
*/
public Object get(String key) {
return key == null ? null : redisTemplate.opsForValue().get(key);
}
/**
* 普通缓存放入
*
* @param key 键
* @param value 值
* @return true成功 false失败
*/
public boolean set(String key, Object value) {
try {
redisTemplate.opsForValue().set(key, value);
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
/**
* 普通缓存放入并设置时间
*
* @param key 键
* @param value 值
* @param seconds 时间(秒) time要大于0 如果time小于等于0 将设置无限期
* @return true成功 false 失败
*/
public boolean set(String key, Object value, long seconds) {
try {
if (seconds > 0) {
redisTemplate.opsForValue().set(key, value, seconds, TimeUnit.SECONDS);
} else {
set(key, value);
}
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
}
简单测试一下工具类是否可用
package com.example.controller;
import com.example.entity.User;
import com.example.mapper.UserMapper;
import com.example.utils.RedisUtils;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Objects;
@RestController
public class LoginController {
private static final Logger logger = LoggerFactory.getLogger(LoginController.class);
@Resource
UserMapper userMapper;
@Resource
RedisUtils redisUtils;
@GetMapping("/login")
public String login(@RequestParam("username") String username, @RequestParam("password") String password) {
User user = userMapper.getUserByUsername(username);
logger.warn(user.toString());
if (!Objects.equals(password, user.getPassword())) {
return "密码错误";
}
redisUtils.set("name",user.getNickname());
String name = (String)redisUtils.get("name");
logger.warn("缓存中的数据是:" + name);
return "你好:" + user.getNickname();
}
}
运行结果
接下来我们开始使用spring boot 的拦截器与过滤器 通过判断token是否有效
注册拦截器与过滤器
借用知乎上的一张图解析过滤器与拦截器在web服务中的执行顺序
设置过滤器 过滤只简单打印一下请求的生命周期即可,本次是通过注解进行注册的
package com.example.filter;
import jakarta.servlet.*;
import jakarta.servlet.annotation.WebFilter;
import java.io.IOException;
@WebFilter(urlPatterns = "/*") // 指定拦截路径
public class SysFilter implements Filter {
@Override
public void doFilter(ServletRequest request, ServletResponse response, FilterChain chain)
throws IOException, ServletException {
System.out.println("Filter: 请求处理开始");
chain.doFilter(request, response);
System.out.println("Filter: 响应处理完成");
}
}
设置拦截器
package com.example.interceptor;
import com.example.utils.RedisUtils;
import com.example.utils.ResultUtil;
import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.http.converter.json.Jackson2ObjectMapperBuilder;
import org.springframework.stereotype.Component;
import org.springframework.web.servlet.HandlerInterceptor;
import jakarta.servlet.http.HttpServletRequest;
import jakarta.servlet.http.HttpServletResponse;
import javax.annotation.Resource;
import java.io.PrintWriter;
import java.util.Map;
import java.util.Objects;
@Component
public class LoginInterceptor implements HandlerInterceptor {
private final String tokenName = "token";
@Resource
private Jackson2ObjectMapperBuilder builder;
@Resource
RedisUtils redisUtils;
private static final Logger logger = LoggerFactory.getLogger(LoginInterceptor.class);
@Override
public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
logger.info("请求处理开始前执行了");
String token = request.getParameter(tokenName);
ObjectMapper objectMapper = builder.build();
String userStr = (String) redisUtils.get(token);
if(Objects.equals(userStr, "")) {
tokenInvalid(response);
}
Map<String, Object> userInfo = objectMapper.readValue(userStr, new TypeReference<>() {});
request.setAttribute("userinfo", userInfo);
return true;
}
@Override
public void postHandle(HttpServletRequest request, HttpServletResponse response, Object handler,
org.springframework.web.servlet.ModelAndView modelAndView) throws Exception {
logger.info("Interceptor: 请求处理完成");
}
@Override
public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler,
Exception ex) throws Exception {
logger.info("Interceptor: 请求完成后清理");
}
public void tokenInvalid(HttpServletResponse httpServletResponse) {
try {
httpServletResponse.setContentType("application/json;charset=UTF-8");
httpServletResponse.setStatus(HttpServletResponse.SC_FORBIDDEN);
PrintWriter out = httpServletResponse.getWriter();
out.write(ResultUtil.tokenInvalid().toJSONString(0));
out.flush();
out.close();
} catch (Exception e) {
logger.error(e.getMessage());
}
}
}
通过配置,注册拦截器 访问/user时粗发拦截
package com.example.config;
import com.example.interceptor.LoginInterceptor;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.cors.CorsConfiguration;
import org.springframework.web.cors.UrlBasedCorsConfigurationSource;
import org.springframework.web.filter.CorsFilter;
import org.springframework.web.servlet.config.annotation.InterceptorRegistry;
import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
@Configuration
public class WebMvcConfig implements WebMvcConfigurer {
@Bean
public FilterRegistrationBean<CorsFilter> corsFilter() {
UrlBasedCorsConfigurationSource source = new UrlBasedCorsConfigurationSource();
CorsConfiguration config = new CorsConfiguration();
config.setAllowCredentials(true);
config.addAllowedOriginPattern("*");
config.addAllowedHeader("*");
config.addAllowedMethod("*");
source.registerCorsConfiguration("/**", config);
FilterRegistrationBean<CorsFilter> bean = new FilterRegistrationBean<>(new CorsFilter(source));
bean.setOrder(0);
return bean;
}
@Override
public void addInterceptors(InterceptorRegistry registry) {
registry.addInterceptor(new LoginInterceptor()).addPathPatterns("/user");
}
}
改造控制器
package com.example.controller;
import com.example.entity.User;
import com.example.mapper.UserMapper;
import com.example.utils.HashUtil;
import com.example.utils.RedisUtils;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Objects;
@RestController
public class LoginController {
private static final Logger logger = LoggerFactory.getLogger(LoginController.class);
@Resource
UserMapper userMapper;
@Resource
RedisUtils redisUtils;
@GetMapping("/login")
public String login(@RequestParam("username") String username, @RequestParam("password") String password) {
User user = userMapper.getUserByUsername(username);
logger.warn(user.toString());
if (!Objects.equals(password, user.getPassword())) {
return "密码错误";
}
long timestamp = System.currentTimeMillis();
String token = HashUtil.md5(timestamp+"");
// 创建 ObjectMapper 实例
ObjectMapper objectMapper = new ObjectMapper();
// 将对象转换为 JSON 字符串
try {
String jsonString = objectMapper.writeValueAsString(user);
redisUtils.set(token,jsonString);
} catch (Exception e) {
e.printStackTrace();
}
return "你好:" + user.getNickname() + "token是:" + token;
}
@GetMapping("/user")
public String user(@RequestParam("token") String token){
String userStr = (String) redisUtils.get(token);
ObjectMapper objectMapper = new ObjectMapper();
try {
User user = objectMapper.readValue(userStr, User.class);
return user.toString();
} catch (Exception e) {
e.printStackTrace();
}
return "获取用户信息失败";
}
}
最终项目目录结构如下
执行演示 直接访问/user
执行登录
带着token去访问/user
对应日志
至此,spring boot的拦截器与过滤器的简单接入完成