为啥会有这个项目呢?因为我在做架构设计时,发现大多数项目中,或多或少的需要一些“翻译”的地方,比如:字典、分类、标签、基础元数据等。比较常用的做法是,把几张表的关联查询结果返回给前端,现在用的比较多的都是自动化 orm 框架,大概逻辑如下:
// 查询a表数据
List alist = aDao.findAll(query);
// 根据a表数据,获取b表id
List bids = alist.stream().map(a::bid).tolist();
// 根据b表id 查询b表数据 并映射成map
Map bMap = bDao.findAll(bids).stream().toMap(b::id,x->x);
// 组装数据
。。。。
这些逻辑随处可见,如果是关联 join 查询,压力都给到了 db。如果我有一部分数据提前放到了缓存中,那这种方式的局限性就暴露出来了。另外,不少同事觉得,这种代码写多了就比较烦,因此,需要一款框架来帮助我们实现这种转换或者说是翻译的逻辑。
调研了一下市面上的框架,发现有一款框架 easy_trans 能解决这个问题,但是,这个框架对于我们来说,也有一些问题:
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框架太重了,比如框架引入了 redis 做缓存,有些项目没有 redis,启动需要手动排除
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翻译后的字段是生成在增加 map 字段里面的,和前端联调时不方便,因为用的是 swagger 生成文档的,希望翻译后的字段能在文档中展示
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由于,大部分的场景下,翻译的需求比较简单,因此,决定自己开发一款框架解决这些问题。
基于 Spring Boot + MyBatis Plus + Vue & Element 实现的后台管理系统 + 用户小程序,支持 RBAC 动态权限、多租户、数据权限、工作流、三方登录、支付、短信、商城等功能
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项目地址:https://github.com/YunaiV/ruoyi-vue-pro
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视频教程:https://doc.iocoder.cn/video/
参考了
easy_trans
的源码,并设想翻译框架和
spring validation
一样,通过自定义不同注解,拓展翻译功能。
架构如下:
因此,设计一个翻译核心注解。
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.FIELD, ElementType.ANNOTATION_TYPE})
public @interface Trans {
/**
* @return 需要翻译的字段
*/
String trans() default "";
/**
* @return 提取的字段
*/
String key() default "";
/**
* @return 翻译数据获取仓库
*/
Class extends TransRepository> using();
}
基于 Spring Cloud Alibaba + Gateway + Nacos + RocketMQ + Vue & Element 实现的后台管理系统 + 用户小程序,支持 RBAC 动态权限、多租户、数据权限、工作流、三方登录、支付、短信、商城等功能
-
项目地址:https://github.com/YunaiV/yudao-cloud
-
视频教程:https://doc.iocoder.cn/video/
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高度可拓展,拓展逻辑仅仅只需要实现
TransRepository
接口
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-
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maven 引入。
io.github.orangewest
easy-trans-core
0.0.3
比如现在有一个老师的实体对象。
@Data
@AllArgsConstructor
@NoArgsConstructor
public class TeacherDto {
private Long id;
private String name;
// 关联教哪个学科
private Long subjectId;
}
课程科目实体对象。
@Data
@AllArgsConstructor
@NoArgsConstructor
public class SubjectDto {
private Long id;
private String name;
}
学生实体对象。
@Data
public class UserDto {
private Long id;
private String name;
private String sex;
@DictTrans(trans = "sex", group = "sexDict")
private String sexName;
private String job;
@DictTrans(trans = "job", group = "jobDict")
private String jobName;
// 关联老师id
private Long teacherId;
@Trans(trans = "teacherId", key = "name", using = TeacherTransRepository.class)
private String teacherName;
@Trans(trans = "teacherId", key = "subjectId", using = TeacherTransRepository.class)
private Long subjectId;
@Trans(trans = "subjectId", using = SubjectTransRepository.class, key = "name")
private String subjectName;
public UserDto(Long id, String name, Long teacherId, String sex, String job) {
this.id = id;
this.name = name;
this.teacherId = teacherId;
this.sex = sex;
this.job = job;
}
}
我们在 teacherName 上增加 @Trans 的注解,其中trans 指名需要翻译哪个字段,key说明需要使用的是哪个字段,using 说明的是使用哪个数据仓库获取数据 TeacherTransRepository 代码如下:
public class TeacherTransRepository implements TransRepository {
@Override
public Map{
return getTeachers().stream().filter(x -> transValues.contains(x.getId())).collect(Collectors.toMap(TeacherDto::getId, x -> x));
}
public List getTeachers() {
List teachers = new ArrayList<>();
teachers.add(new TeacherDto(1L, "老师1", 1L));
teachers.add(new TeacherDto(2L, "老师2", 2L));
teachers.add(new TeacherDto(3L, "老师3", 3L));
teachers.add(new TeacherDto(4L, "老师4", 4L));
return teachers;
}
}
模拟根据 id 查询,获取指定 id 的数据。
SubjectTransRepository
。
public class SubjectTransRepository implements TransRepository {
@Override
public Map getTransValueMap(List transValues, Annotation transAnno) {
return getSubjects().stream().filter(x -> transValues.contains(x.getId())).collect(Collectors.toMap(SubjectDto::getId, x -> x));
}
public List getSubjects() {
List subjects = new ArrayList<>();
subjects.add(new SubjectDto(1L, "语文"));
subjects.add(new SubjectDto(2L, "数学"));
subjects.add(new SubjectDto(3L, "英语"));
subjects.add(new SubjectDto(4L, "物理"));
return subjects;
}
}
注册翻译仓库:
TransRepositoryFactory.register(new TeacherTransRepository());
TransRepositoryFactory.register(new SubjectTransRepository());
TransRepositoryFactory.register(new DictTransRepository(new DictLoader() {
@Override
public Map loadDict(String dictGroup) {
return dictMap().getOrDefault(dictGroup, new HashMap<>());
}
private Map> dictMap() {
Map> map = new HashMap<>();
map.put("sexDict", new HashMap<>());
map.put("jobDict", new HashMap<>());
map.get("sexDict").put("1", "男");
map.get("sexDict").put("2", "女");
map.get("jobDict").put("1", "学习委员");
map.get("jobDict").put("2", "生活委员");
map.get("jobDict").put("3", "宣传委员");
map.get("jobDict").put("4", "班长");
map.get("jobDict").put("5", "团支书");
map.get("jobDict").put("6", "团长");
return map;
}
}));
代码测试:
@Test
void trans() {
UserDto userDto = new UserDto(1L, "张三", 2L, "1", "2");
System.out.println("翻译前:" + userDto);
transService.trans(userDto);
System.out.println("翻译后:" + userDto);
List userDtoList = new ArrayList<>();
UserDto userDto2 = new UserDto(2L, "李四", 1L, "2", "1");
UserDto userDto3 = new UserDto(3L, "王五", 2L, "1", "3");
UserDto userDto4 = new UserDto(4L, "赵六", 3L, "2", "4");
userDtoList.add(userDto4);
userDtoList.add(userDto3);
userDtoList.add(userDto2);
System.out.println("翻译前:" + userDtoList);
transService.trans(userDtoList);
System.out.println("翻译后:" + userDtoList);
}
结果输出
翻译前:UserDto(id=1
, name=张三, sex=1, sexName=null, job=2, jobName=null, teacherId=2, teacherName=null, subjectId=null, subjectName=null)
翻译后:UserDto(id=1, name=张三, sex=1, sexName=男, job=2, jobName=生活委员, teacherId=2, teacherName=老师2, subjectId=2, subjectName=数学)
翻译前:[UserDto(id=4, name=赵六, sex=2, sexName=null, job=4, jobName=null, teacherId=3, teacherName=null, subjectId=null, subjectName=null), UserDto(id=3, name=王五, sex=1, sexName=null, job=3, jobName=null, teacherId=2, teacherName=null, subjectId=null, subjectName=null), UserDto(id=2, name=李四, sex=2, sexName=null, job=1, jobName=null, teacherId=1, teacherName=null, subjectId=null, subjectName=null)]
翻译后:[UserDto(id=4, name=赵六, sex=2, sexName=女, job=4, jobName=班长, teacherId=3, teacherName=老师3, subjectId=3, subjectName=英语), UserDto(id=3, name=王五, sex=1, sexName=男, job=3, jobName=宣传委员, teacherId=2, teacherName=老师2, subjectId=2, subjectName=数学), UserDto(id=2, name=李四, sex=2, sexName=女, job=1, jobName=学习委员, teacherId=1, teacherName=老师1, subjectId=1, subjectName=语文)]
使用
@Trans
注解标注在自定义注解上即可,自定义注解中需要有
trans
方法。
示例:
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.FIELD})
// 使用@Trans标注
@Trans(using = TeacherTransRepository.class)
public @interface TeacherTrans {
/**
* 需要翻译的字段
*/
String trans() default "";
/**
* key 提取的字段
*/
String key() default "";
}
@Data
public class UserDto2 {
private Long id;
private String name;
private List teacherIds;
private List jobIds;
@DictTrans(trans = "jobIds", group = "jobDict")
private List jobNames;
@TeacherTrans(trans = "teacherIds", key = "name")
private List teacherName;
@TeacherTrans(trans = "teacherIds", key = "subjectId")
private List subjectIds;
@Trans(using = SubjectTransRepository.class, trans = "subjectIds", key = "name")
private List subjectNames;
public UserDto2(Long id, String name, List teacherIds, List jobIds) {
this.id = id;
this.name = name;
this.teacherIds = teacherIds;
this.jobIds = jobIds;
}
}
测试。
@Test
void trans2() {
List teacherIds = new ArrayList<>();
teacherIds.add(1L);
teacherIds.add(2L);
List jobIds = new ArrayList<>();
jobIds.add("1");
jobIds.add("2");
UserDto2 userDto = new UserDto2(1L, "张三", teacherIds, jobIds);
System.out.println("翻译前:" + userDto);
transService.trans(userDto);
System.out.println("翻译后:" + userDto);
List userDtoList = new ArrayList<>();
UserDto2 userDto2 = new UserDto2(2L, "李四", teacherIds, jobIds);
List teacherIds2 = new ArrayList<>();
teacherIds2.add(3L);
teacherIds2.add(4L);
List jobIds2 = new ArrayList<>();
jobIds2.add("3");
jobIds2.add("4");
UserDto2 userDto3 = new UserDto2(3L, "王五", teacherIds2, jobIds2);
UserDto2 userDto4 = new UserDto2(4L, "赵六", teacherIds2, jobIds2);
userDtoList.add(userDto4);
userDtoList.add(userDto3);
userDtoList.add(userDto2);
System.out.println("翻译前:" + userDtoList);
transService.trans(userDtoList);
System.out.println("翻译后:" + userDtoList);
}
结果输出。
翻译前:UserDto2(id=1, name=张三, teacherIds=[1, 2], jobIds=[1, 2], jobNames=null, teacherName=null, subjectIds=null, subjectNames=null)
翻译后:UserDto2(id=1, name=张三, teacherIds=[1, 2], jobIds=[1, 2], jobNames=[学习委员, 生活委员], teacherName=[老师1, 老师2], subjectIds=[1, 2], subjectNames=[语文, 数学])
翻译前:[UserDto2(id=4, name=赵六, teacherIds=[3, 4], jobIds=[3, 4], jobNames=null, teacherName=null, subjectIds=null, subjectNames=null), UserDto2(id=3, name=王五, teacherIds=[3, 4], jobIds=[3, 4], jobNames=null, teacherName=null, subjectIds=null, subjectNames=null), UserDto2(id=2, name=李四, teacherIds=[1, 2], jobIds=[1, 2], jobNames=null, teacherName=null, subjectIds=null, subjectNames=null)]
翻译后:[UserDto2(id=4, name=赵六, teacherIds=[3, 4], jobIds=[3, 4], jobNames=[宣传委员, 班长], teacherName=[老师3, 老师4], subjectIds=[3, 4], subjectNames=[英语, 物理]), UserDto2(id=3, name=王五, teacherIds=[3, 4], jobIds=[3, 4], jobNames=[宣传委员, 班长], teacherName=[老师3, 老师4], subjectIds=[3, 4], subjectNames=[英语, 物理]), UserDto2(id=2, name=李四, teacherIds=[1, 2], jobIds=[1, 2], jobNames=[学习委员, 生活委员], teacherName=[老师1, 老师2], subjectIds=[1, 2], subjectNames=[语文, 数学])]
有些翻译类型匹配结果的时候是通过值去匹配的,比如说字典翻译,我们需要根据字典值去字典组里面去匹配数据,框架里面只需要标记 key 的值用
#val
即可实现,比如框架自带的 @DictTrans 注解。
@Trans(using = DictTransRepository.class, key = "#val")
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.FIELD)
public @interface DictTrans {
/**
* @return 需要翻译的字段
*/
String trans();
/**
* 字典组
*
* @return 字典分组
*/
String group();
}
有些类是包装类,比如返回的结果,返回的分页对象等,需要翻译的数据一般都是里面的实际业务对象,这时候,需要我们去配置解析包装类的解析器。
示例:
@Data
@AllArgsConstructor
public class Result<T> {
private T data;
private String message;
}
配置解析器,实现TransObjResolver接口即可
public class ResultResolver implements TransObjResolver {
@Override
public boolean support(Object obj) {
return obj instanceof Result;
}
@Override
public Object resolveTransObj(Object obj)