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基于序列化的实现
Fastjson实现
实现思路：
自定义注解，可让用户自定义脱敏方式，用于实体类的属性
基于ValueFilter进行 属性注解拦截，并多value进行替换脱敏
使用json序列化对象是指定自定义序列化Filter
核心代码如下
自定义注解Desensitization
@Target(ElementType.FIELD)
@Retention(RetentionPolicy.RUNTIME)
public @interface Desensitization {
/**
* 脱敏规则
*
* @return
*/
DesensitionEnum desensitionEnum();
}脱敏方法
/**
* 脱敏的函数接口
*/
public interface Desensitizer extends Function {
}
@Getter
public enum DesensitionEnum {
/**
* 用户名脱敏
*/
USERNAME("userName", "用户名",s -> s.replaceAll("(\\S)\\S(\\S*)", "$1*$2")),
/**
* 身份证号码脱敏
*/
ID_CARD("idCard", "15或者18身份证号",s -> s.replaceAll("(\\d{4})\\d{10}(\\w{4})", "$1****$2")),
/**
* 手机号脱敏
*/
PHONE("phone", "手机号",s -> s.replaceAll("(\\d{3})\\d{4}(\\d{4})", "$1****$2")),
/**
* 地址脱敏
*/
ADDRESS("address", "地址脱敏",s -> s.replaceAll("(\\S{8})\\S{4}(\\S*)\\S{4}", "$1****$2****"));
String fieldName;
String fieldDescribe;
private final Desensitizer desensitizer;
DesensitionEnum(String fieldName, String fieldDescribe, Desensitizer desensitizer) {
this.fieldName = fieldName;
this.fieldDescribe = fieldDescribe;
this.desensitizer = desensitizer;
}
}
具体拦截
public class FastjsonDesensitizeFilter implements ValueFilter {
@Override
public Object process(Object object, String name, Object value) {
if (null == value || !(value instanceof String) || ((String) value).length() == 0) {
return value;
}
try {
Field field = object.getClass().getDeclaredField(name);
Desensitization desensitization;
if (String.class != field.getType() || (desensitization = field.getAnnotation(Desensitization.class)) == null) {
return value;
}
return desensitization.desensitionEnum().getDesensitizer().apply((String) value);
} catch (Exception e) {
return value;
}
}
}Jackson实现
解释：
获取对象属性上的注解，根据属性得到相应的脱敏规则类型
按照规则类型进行value替换
自定义注解
@Target(ElementType.FIELD)
@Retention(RetentionPolicy.RUNTIME)
@JsonSerialize(using = JacksonDesensitize.class)
@JacksonAnnotationsInside
public @interface Desensitization {
/**
* 脱敏规则
*
* @return
*/
DesensitionEnum desensitionEnum();
}
package com.demo.desensitization;
import com.fasterxml.jackson.core.JsonGenerator;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.BeanProperty;
import com.fasterxml.jackson.databind.JsonMappingException;
import com.fasterxml.jackson.databind.JsonSerializer;
import com.fasterxml.jackson.databind.SerializerProvider;
import com.fasterxml.jackson.databind.ser.ContextualSerializer;
import java.io.IOException;
import java.util.Objects;
public class JacksonDesensitize extends JsonSerializer implements
ContextualSerializer {
private DesensitionEnum desensitionEnum;
@Override
public void serialize(String value, JsonGenerator jsonGenerator, SerializerProvider serializerProvider) throws IOException, JsonProcessingException {
jsonGenerator.writeString(desensitionEnum.getDesensitizer().apply((String) value));
}
@Override
public JsonSerializer createContextual(SerializerProvider serializerProvider, BeanProperty beanProperty) throws JsonMappingException {
if (beanProperty != null) {
// 非 String 直接跳过
if (Objects.equals(beanProperty.getType().getRawClass(), String.class)) {
// 获取注解信息
Desensitization annotation = beanProperty.getAnnotation(Desensitization.class);
if (annotation == null) {
annotation = beanProperty.getContextAnnotation(Desensitization.class);
}
if (annotation != null) {
// 获得注解上的值并赋值
this.desensitionEnum = annotation.desensitionEnum();
return this;
}
}
return serializerProvider.findValueSerializer(beanProperty.getType(), beanProperty);
}
return serializerProvider.findNullValueSerializer(null);
}
}执行结果
package com.demo.desensitization;
import lombok.Data;
import java.io.Serializable;
@Data
public class UserDTO implements Serializable {
@Desensitization(desensitionEnum=DesensitionEnum.ID_CARD)
private String idCard;
@Desensitization(desensitionEnum=DesensitionEnum.USERNAME)
private String username;
@Desensitization(desensitionEnum=DesensitionEnum.PHONE)
private String phone;
@Desensitization(desensitionEnum=DesensitionEnum.ADDRESS)
private String address;
}
public static void testFast(){
FastJsonConfig fastJsonConfig = new FastJsonConfig();
fastJsonConfig.setSerializerFeatures(SerializerFeature.PrettyFormat, SerializerFeature.DisableCircularReferenceDetect);
fastJsonConfig.setSerializeFilters(new FastjsonDesensitizeFilter());
UserDTO userDTO=new UserDTO();
userDTO.setUsername("张三");
userDTO.setPhone("15669057552");
userDTO.setIdCard("370826198901133299");
userDTO.setAddress("浙江省杭州市江干区火车东站");
String s = JSON.toJSONString(userDTO,new FastjsonDesensitizeFilter());
System.out.println(s);
}
public static void testJackson() throws JsonProcessingException {
UserDTO userDTO=new UserDTO();
userDTO.setUsername("张三");
userDTO.setPhone("15669057552");
userDTO.setIdCard("370826198901133299");
userDTO.setAddress("浙江省杭州市江干区火车东站");
ObjectMapper objectMapper = new ObjectMapper();
String value = objectMapper.writeValueAsString(userDTO);
System.out.println(value);
}最终输出结果
{"idCard":"3708****3299","username":"张*","phone":"156****7552","address":"浙江省杭州市江干区火车东站"}到此，关于“基于序列化怎么实现jackson”的学习就结束了，希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习，快去试试吧！若想继续学习更多相关知识，请继续关注创新互联网站，小编会继续努力为大家带来更多实用的文章！
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