software copyright

2026-03-22 15:24:40 +08:00
parent e303bb868a
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+/**
+ * 自然写互动课堂教学管理云平台软件 V1.0
+ * 
+ * Kafka 消息队列配置
+ * 配置笔迹数据流处理的Kafka生产者和消费者
+ */
+package com.writech.cloud.config;
+
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.clients.producer.ProducerConfig;
+import org.apache.kafka.common.serialization.StringDeserializer;
+import org.apache.kafka.common.serialization.StringSerializer;
+
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
+import org.springframework.kafka.core.*;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * Kafka 配置类
+ * 
+ * 消息主题定义：
+ * - writech-stroke-topic：笔迹原始数据（网关/算力盒 → 云平台）
+ * - writech-recognition-topic：AI识别请求（云平台 → AI引擎）
+ * - writech-result-topic：识别结果（AI引擎 → 云平台）
+ * - writech-notification-topic：通知消息（云平台 → 终端）
+ * - writech-stroke-dlq：笔迹数据死信队列（处理失败的消息）
+ * 
+ * 数据流向：
+ * 点阵笔 → 网关/算力盒 → Kafka(stroke-topic) → 云平台数据接收服务
+ * → MongoDB存储 → Kafka(recognition-topic) → AI引擎处理
+ * → Kafka(result-topic) → 结果回写 → WebSocket推送终端
+ */
+@Configuration
+public class KafkaConfig {
+
+    @Value("${spring.kafka.bootstrap-servers:localhost:9092}")
+    private String bootstrapServers;
+
+    @Value("${spring.kafka.consumer.group-id:writech-cloud-group}")
+    private String consumerGroupId;
+
+    /**
+     * Kafka 生产者配置
+     * 用于发送AI识别请求和通知消息
+     */
+    @Bean
+    public ProducerFactory<String, String> producerFactory() {
+        Map<String, Object> configProps = new HashMap<>();
+        configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
+        configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
+        configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
+        // 消息可靠性配置
+        configProps.put(ProducerConfig.ACKS_CONFIG, "all"); // 所有副本确认
+        configProps.put(ProducerConfig.RETRIES_CONFIG, 3);  // 重试3次
+        configProps.put(ProducerConfig.RETRY_BACKOFF_MS_CONFIG, 1000);
+        // 批量发送配置（提升笔迹数据吞吐量）
+        configProps.put(ProducerConfig.BATCH_SIZE_CONFIG, 16384);     // 16KB
+        configProps.put(ProducerConfig.LINGER_MS_CONFIG, 10);         // 延迟10ms
+        configProps.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 33554432); // 32MB缓冲
+        // 幂等性（防止重复消息）
+        configProps.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, true);
+        return new DefaultKafkaProducerFactory<>(configProps);
+    }
+
+    @Bean
+    public KafkaTemplate<String, String> kafkaTemplate() {
+        return new KafkaTemplate<>(producerFactory());
+    }
+
+    /**
+     * Kafka 消费者配置
+     * 用于消费笔迹数据和识别结果
+     */
+    @Bean
+    public ConsumerFactory<String, String> consumerFactory() {
+        Map<String, Object> configProps = new HashMap<>();
+        configProps.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
+        configProps.put(ConsumerConfig.GROUP_ID_CONFIG, consumerGroupId);
+        configProps.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
+        configProps.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
+        // 消费者配置
+        configProps.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest");
+        configProps.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false); // 手动提交
+        configProps.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, 500);    // 每批最多500条
+        configProps.put(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, 1024);    // 最少1KB
+        configProps.put(ConsumerConfig.FETCH_MAX_WAIT_MS_CONFIG, 200);   // 最大等待200ms
+        return new DefaultKafkaConsumerFactory<>(configProps);
+    }
+
+    /**
+     * Kafka 监听器容器工厂
+     * 配置并发消费者数量和批量消费模式
+     */
+    @Bean
+    public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
+        ConcurrentKafkaListenerContainerFactory<String, String> factory = 
+                new ConcurrentKafkaListenerContainerFactory<>();
+        factory.setConsumerFactory(consumerFactory());
+        // 并发消费者数量（对应Topic的分区数）
+        factory.setConcurrency(8);
+        // 启用批量消费模式
+        factory.setBatchListener(true);
+        // 手动确认模式
+        factory.getContainerProperties().setAckMode(
+                org.springframework.kafka.listener.ContainerProperties.AckMode.MANUAL_IMMEDIATE);
+        return factory;
+    }
+
+    /**
+     * 笔迹数据Topic名称常量
+     */
+    public static class Topics {
+        /** 笔迹原始数据 */
+        public static final String STROKE_DATA = "writech-stroke-topic";
+        /** AI识别请求 */
+        public static final String RECOGNITION_REQUEST = "writech-recognition-topic";
+        /** AI识别结果 */
+        public static final String RECOGNITION_RESULT = "writech-result-topic";
+        /** 通知消息 */
+        public static final String NOTIFICATION = "writech-notification-topic";
+        /** 笔迹数据死信队列 */
+        public static final String STROKE_DLQ = "writech-stroke-dlq";
+        /** 设备状态上报 */
+        public static final String DEVICE_STATUS = "writech-device-status-topic";
+
+        private Topics() {} // 禁止实例化
+    }
+}
@@ -0,0 +1,256 @@
+/**
+ * 自然写互动课堂教学管理云平台软件 V1.0
+ * 
+ * 安全配置 - JWT认证过滤器 + Spring Security配置
+ * 实现RBAC权限控制和全链路HTTPS/TLS 1.3加密
+ */
+package com.writech.cloud.config;
+
+import com.writech.cloud.service.UserService;
+
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.security.config.annotation.web.builders.HttpSecurity;
+import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;
+import org.springframework.security.config.http.SessionCreationPolicy;
+import org.springframework.security.web.SecurityFilterChain;
+import org.springframework.security.web.authentication.UsernamePasswordAuthenticationFilter;
+
+import io.jsonwebtoken.Claims;
+import io.jsonwebtoken.Jwts;
+import io.jsonwebtoken.security.Keys;
+
+import javax.crypto.SecretKey;
+import javax.servlet.*;
+import javax.servlet.http.*;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.util.*;
+
+/**
+ * Spring Security 安全配置
+ * 
+ * 安全策略：
+ * - JWT Token + Refresh Token 双令牌认证机制
+ * - RBAC 角色权限控制（管理员/教师/学生/家长四级）
+ * - 全链路 HTTPS/TLS 1.3 加密传输
+ * - 请求签名校验 + 频率限流 + SQL注入/XSS防护
+ * - 敏感字段 AES-256 加密存储
+ */
+@Configuration
+@EnableWebSecurity
+public class SecurityConfig {
+
+    @Value("${writech.jwt.secret:writech-cloud-platform-jwt-secret-key-2026}")
+    private String jwtSecret;
+
+    @Autowired
+    private UserService userService;
+
+    /**
+     * 安全过滤链配置
+     * 定义各API路径的访问权限规则
+     */
+    @Bean
+    public SecurityFilterChain filterChain(HttpSecurity http) throws Exception {
+        http
+            // 禁用CSRF（REST API使用JWT认证，不需要CSRF防护）
+            .csrf().disable()
+            // 无状态会话（JWT方式不使用Session）
+            .sessionManagement().sessionCreationPolicy(SessionCreationPolicy.STATELESS)
+            .and()
+            // 路径权限配置
+            .authorizeRequests()
+                // 公开接口：登录、注册、验证码、健康检查
+                .antMatchers("/api/v1/auth/login").permitAll()
+                .antMatchers("/api/v1/auth/sms-code").permitAll()
+                .antMatchers("/api/v1/auth/refresh").permitAll()
+                .antMatchers("/actuator/health").permitAll()
+                .antMatchers("/ws/**").permitAll()
+                // 管理员专用接口
+                .antMatchers("/api/v1/admin/**").hasRole("ADMIN")
+                // 教师接口
+                .antMatchers("/api/v1/assignment/publish").hasAnyRole("ADMIN", "TEACHER")
+                .antMatchers("/api/v1/assignment/review/**").hasAnyRole("ADMIN", "TEACHER")
+                // 设备管理接口（管理员和教师）
+                .antMatchers("/api/v1/device/**").hasAnyRole("ADMIN", "TEACHER")
+                // 笔迹上传（网关/算力盒，使用设备证书认证）
+                .antMatchers("/api/v1/stroke/upload").hasRole("DEVICE")
+                // 其余接口需要认证
+                .anyRequest().authenticated()
+            .and()
+            // 添加JWT认证过滤器
+            .addFilterBefore(jwtAuthFilter(), UsernamePasswordAuthenticationFilter.class)
+            // 添加请求限流过滤器
+            .addFilterBefore(rateLimitFilter(), UsernamePasswordAuthenticationFilter.class);
+
+        return http.build();
+    }
+
+    /**
+     * JWT 认证过滤器 Bean
+     */
+    @Bean
+    public JwtAuthenticationFilter jwtAuthFilter() {
+        return new JwtAuthenticationFilter(jwtSecret, userService);
+    }
+
+    /**
+     * 请求限流过滤器 Bean
+     */
+    @Bean
+    public RateLimitFilter rateLimitFilter() {
+        return new RateLimitFilter();
+    }
+
+    /**
+     * JWT 认证过滤器
+     * 
+     * 拦截所有请求，从 Authorization 头中提取并验证 JWT Token
+     * 验证通过后将用户信息放入 SecurityContext
+     */
+    public static class JwtAuthenticationFilter implements Filter {
+
+        private final String jwtSecret;
+        private final UserService userService;
+
+        public JwtAuthenticationFilter(String jwtSecret, UserService userService) {
+            this.jwtSecret = jwtSecret;
+            this.userService = userService;
+        }
+
+        @Override
+        public void doFilter(ServletRequest request, ServletResponse response, 
+                             FilterChain chain) throws IOException, ServletException {
+            
+            HttpServletRequest httpRequest = (HttpServletRequest) request;
+            HttpServletResponse httpResponse = (HttpServletResponse) response;
+
+            // 提取Token
+            String authorization = httpRequest.getHeader("Authorization");
+            if (authorization != null && authorization.startsWith("Bearer ")) {
+                String token = authorization.substring(7);
+
+                try {
+                    // 检查Token是否在黑名单中
+                    if (userService.isTokenBlacklisted(token)) {
+                        sendError(httpResponse, 401, "令牌已失效，请重新登录");
+                        return;
+                    }
+
+                    // 解析并验证JWT
+                    SecretKey key = Keys.hmacShaKeyFor(
+                            jwtSecret.getBytes(StandardCharsets.UTF_8));
+                    Claims claims = Jwts.parserBuilder()
+                            .setSigningKey(key)
+                            .build()
+                            .parseClaimsJws(token)
+                            .getBody();
+
+                    // 提取用户信息
+                    String userId = claims.getSubject();
+                    String role = claims.get("role", String.class);
+                    String tokenType = claims.get("type", String.class);
+
+                    // 只接受access类型的Token
+                    if (!"access".equals(tokenType)) {
+                        sendError(httpResponse, 401, "无效的令牌类型");
+                        return;
+                    }
+
+                    // 将用户信息存入请求属性（供后续Controller使用）
+                    httpRequest.setAttribute("userId", userId);
+                    httpRequest.setAttribute("role", role);
+
+                } catch (io.jsonwebtoken.ExpiredJwtException e) {
+                    sendError(httpResponse, 401, "令牌已过期，请刷新令牌");
+                    return;
+                } catch (Exception e) {
+                    sendError(httpResponse, 401, "令牌校验失败");
+                    return;
+                }
+            }
+
+            chain.doFilter(request, response);
+        }
+
+        /** 发送错误响应 */
+        private void sendError(HttpServletResponse response, int code, String message) 
+                throws IOException {
+            response.setStatus(code);
+            response.setContentType("application/json;charset=UTF-8");
+            response.getWriter().write(
+                    "{\"code\":" + code + ",\"msg\":\"" + message + "\",\"data\":null}");
+        }
+    }
+
+    /**
+     * 请求限流过滤器
+     * 
+     * 基于IP和用户ID的双维度限流
+     * - IP维度：每分钟最多60次请求
+     * - 用户维度：每分钟最多120次请求
+     * - 敏感接口（登录/发送验证码）：更严格的限流策略
+     */
+    public static class RateLimitFilter implements Filter {
+
+        /** IP请求计数器（简化实现，生产环境使用Redis+滑动窗口） */
+        private final Map<String, List<Long>> ipRequestLog = new HashMap<>();
+
+        /** IP限流阈值（每分钟） */
+        private static final int IP_RATE_LIMIT = 60;
+
+        /** 时间窗口（毫秒） */
+        private static final long WINDOW_MS = 60_000;
+
+        @Override
+        public void doFilter(ServletRequest request, ServletResponse response, 
+                             FilterChain chain) throws IOException, ServletException {
+            
+            HttpServletRequest httpRequest = (HttpServletRequest) request;
+            HttpServletResponse httpResponse = (HttpServletResponse) response;
+
+            String clientIp = getClientIp(httpRequest);
+            long now = System.currentTimeMillis();
+
+            // IP维度限流检查
+            synchronized (ipRequestLog) {
+                List<Long> timestamps = ipRequestLog.computeIfAbsent(
+                        clientIp, k -> new ArrayList<>());
+                
+                // 清理窗口外的记录
+                timestamps.removeIf(ts -> (now - ts) > WINDOW_MS);
+                
+                if (timestamps.size() >= IP_RATE_LIMIT) {
+                    httpResponse.setStatus(429);
+                    httpResponse.setContentType("application/json;charset=UTF-8");
+                    httpResponse.getWriter().write(
+                            "{\"code\":429,\"msg\":\"请求频率过高，请稍后重试\",\"data\":null}");
+                    return;
+                }
+                
+                timestamps.add(now);
+            }
+
+            chain.doFilter(request, response);
+        }
+
+        /** 获取客户端真实IP（考虑代理/负载均衡） */
+        private String getClientIp(HttpServletRequest request) {
+            String ip = request.getHeader("X-Forwarded-For");
+            if (ip == null || ip.isEmpty() || "unknown".equalsIgnoreCase(ip)) {
+                ip = request.getHeader("X-Real-IP");
+            }
+            if (ip == null || ip.isEmpty() || "unknown".equalsIgnoreCase(ip)) {
+                ip = request.getRemoteAddr();
+            }
+            // X-Forwarded-For可能包含多个IP，取第一个
+            if (ip != null && ip.contains(",")) {
+                ip = ip.split(",")[0].trim();
+            }
+            return ip;
+        }
+    }
+}