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# Conflicts: # zsw-farm/zsw-farm-impl/src/main/java/cn/iocoder/yudao/module/farm/annotation/FarmMsgAspect.javazyh
小久哥
3 years ago
22 changed files with 721 additions and 145 deletions
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package cn.iocoder.yudao.module.system.dal.mysql.dict; |
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import cn.iocoder.yudao.module.system.dict.DictModel; |
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import com.baomidou.mybatisplus.core.mapper.BaseMapper; |
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import org.apache.ibatis.annotations.Mapper; |
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import org.apache.ibatis.annotations.Param; |
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import java.util.List; |
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@Mapper |
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public interface DictMapper extends BaseMapper<DictModel> { |
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List<DictModel> queryTableDictByKeysAndFilterSql(@Param("table") String table, @Param("text") String text, @Param("code") String code, @Param("filterSql") String filterSql, @Param("codeValues") List<String> codeValues); |
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} |
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package cn.iocoder.yudao.module.system.dict; |
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import java.lang.annotation.ElementType; |
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import java.lang.annotation.Retention; |
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import java.lang.annotation.RetentionPolicy; |
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import java.lang.annotation.Target; |
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/** |
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* 字典注解 |
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* @author: dangzhenghui |
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* @date: 2019年03月17日-下午9:37:16 |
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*/ |
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@Target(ElementType.FIELD) |
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@Retention(RetentionPolicy.RUNTIME) |
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public @interface Dict { |
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/** |
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* 方法描述: 数据code |
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* 作 者： dangzhenghui |
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* 日 期： 2019年03月17日-下午9:37:16 |
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* |
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* @return 返回类型： String |
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*/ |
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String dicCode(); |
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/** |
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* 方法描述: 数据Text |
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* 作 者： dangzhenghui |
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* 日 期： 2019年03月17日-下午9:37:16 |
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* |
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* @return 返回类型： String |
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*/ |
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String dicText() default ""; |
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/** |
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* 方法描述: 数据字典表 |
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* 作 者： dangzhenghui |
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* 日 期： 2019年03月17日-下午9:37:16 |
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* |
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* @return 返回类型： String |
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*/ |
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String dictTable() default ""; |
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} |
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package cn.iocoder.yudao.module.system.dict; |
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import cn.hutool.core.util.ObjectUtil; |
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import cn.iocoder.yudao.framework.common.pojo.CommonResult; |
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import cn.iocoder.yudao.framework.common.pojo.PageResult; |
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import cn.iocoder.yudao.module.system.service.dict.DictDataService; |
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import com.alibaba.fastjson.JSON; |
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import com.alibaba.fastjson.JSONObject; |
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import com.alibaba.fastjson.parser.Feature; |
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import com.fasterxml.jackson.core.JsonProcessingException; |
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import com.fasterxml.jackson.databind.ObjectMapper; |
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import lombok.extern.slf4j.Slf4j; |
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import org.aspectj.lang.ProceedingJoinPoint; |
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import org.aspectj.lang.annotation.Around; |
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import org.aspectj.lang.annotation.Aspect; |
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import org.aspectj.lang.annotation.Pointcut; |
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import org.springframework.beans.factory.annotation.Autowired; |
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import org.springframework.context.annotation.Lazy; |
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import org.springframework.data.redis.core.RedisTemplate; |
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import org.springframework.stereotype.Component; |
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import org.springframework.util.StringUtils; |
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import java.lang.reflect.Field; |
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import java.util.*; |
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import java.util.concurrent.TimeUnit; |
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import java.util.stream.Collectors; |
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/** |
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* @Description: 字典aop类 |
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* @Author: dangzhenghui |
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* @Date: 2019-3-17 21:50 |
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* @Version: 1.0 |
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*/ |
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@Aspect |
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@Component |
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@Slf4j |
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public class DictAspect { |
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@Autowired |
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private DictDataService dictDataService; |
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@Autowired |
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public RedisTemplate redisTemplate; |
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public static final String DICT_TEXT_SUFFIX = "_dictText"; |
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/** |
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* 定义切点Pointcut |
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*/ |
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@Pointcut("execution(public * cn.iocoder.yudao.module.*.controller..*.*Controller.*(..))") |
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public void excudeService() { |
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} |
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@Around("excudeService()") |
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public Object doAround(ProceedingJoinPoint pjp) throws Throwable { |
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long time1=System.currentTimeMillis(); |
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Object result = pjp.proceed(); |
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long time2=System.currentTimeMillis(); |
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log.debug("获取JSON数据 耗时："+(time2-time1)+"ms"); |
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long start=System.currentTimeMillis(); |
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this.parseDictText(result); |
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long end=System.currentTimeMillis(); |
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log.debug("注入字典到JSON数据 耗时"+(end-start)+"ms"); |
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return result; |
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} |
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/** |
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* 本方法针对返回对象为Result 的IPage的分页列表数据进行动态字典注入 |
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* 字典注入实现 通过对实体类添加注解@dict 来标识需要的字典内容,字典分为单字典code即可 ，table字典 code table text配合使用与原来jeecg的用法相同 |
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* 示例为SysUser 字段为sex 添加了注解@Dict(dicCode = "sex") 会在字典服务立马查出来对应的text 然后在请求list的时候将这个字典text，已字段名称加_dictText形式返回到前端 |
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* 例输入当前返回值的就会多出一个sex_dictText字段 |
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* { |
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* sex:1, |
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* sex_dictText:"男" |
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* } |
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* 前端直接取值sext_dictText在table里面无需再进行前端的字典转换了 |
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* customRender:function (text) { |
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* if(text==1){ |
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* return "男"; |
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* }else if(text==2){ |
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* return "女"; |
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* }else{ |
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* return text; |
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* } |
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* } |
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* 目前vue是这么进行字典渲染到table上的多了就很麻烦了 这个直接在服务端渲染完成前端可以直接用 |
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* @param result |
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*/ |
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private void parseDictText(Object result) { |
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if (result instanceof CommonResult) { |
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if (((CommonResult) result).getData() instanceof PageResult) { |
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List<JSONObject> items = new ArrayList<>(); |
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//step.1 筛选出加了 Dict 注解的字段列表
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List<Field> dictFieldList = new ArrayList<>(); |
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// 字典数据列表， key = 字典code，value=数据列表
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Map<String, List<String>> dataListMap = new HashMap<>(5); |
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for (Object record : ((PageResult) ((CommonResult) result).getData()).getList()) { |
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ObjectMapper mapper = new ObjectMapper(); |
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String json="{}"; |
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try { |
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//解决@JsonFormat注解解析不了的问题详见SysAnnouncement类的@JsonFormat
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json = mapper.writeValueAsString(record); |
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} catch (JsonProcessingException e) { |
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log.error("json解析失败"+e.getMessage(),e); |
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} |
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//update-begin--Author:scott -- Date:20211223 ----for：【issues/3303】restcontroller返回json数据后key顺序错乱 -----
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JSONObject item = JSONObject.parseObject(json, Feature.OrderedField); |
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//update-end--Author:scott -- Date:20211223 ----for：【issues/3303】restcontroller返回json数据后key顺序错乱 -----
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//update-begin--Author:scott -- Date:20190603 ----for：解决继承实体字段无法翻译问题------
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//for (Field field : record.getClass().getDeclaredFields()) {
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// 遍历所有字段，把字典Code取出来，放到 map 里
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for (Field field : getAllFields(record)) { |
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String value = item.getString(field.getName()); |
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if (ObjectUtil.isEmpty(value)) { |
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continue; |
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} |
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//update-end--Author:scott -- Date:20190603 ----for：解决继承实体字段无法翻译问题------
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if (field.getAnnotation(Dict.class) != null) { |
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if (!dictFieldList.contains(field)) { |
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dictFieldList.add(field); |
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} |
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String code = field.getAnnotation(Dict.class).dicCode(); |
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String text = field.getAnnotation(Dict.class).dicText(); |
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String table = field.getAnnotation(Dict.class).dictTable(); |
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List<String> dataList; |
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String dictCode = code; |
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if (!StringUtils.isEmpty(table)) { |
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dictCode = String.format("%s,%s,%s", table, text, code); |
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} |
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dataList = dataListMap.computeIfAbsent(dictCode, k -> new ArrayList<>()); |
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this.listAddAllDeduplicate(dataList, Arrays.asList(value.split(","))); |
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} |
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//date类型默认转换string格式化日期
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// if (CommonConstant.JAVA_UTIL_DATE.equals(field.getType().getName())&&field.getAnnotation(JsonFormat.class)==null&&item.get(field.getName())!=null){
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// SimpleDateFormat aDate=new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
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// item.put(field.getName(), aDate.format(new Date((Long) item.get(field.getName()))));
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// }
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} |
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items.add(item); |
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} |
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//step.2 调用翻译方法，一次性翻译
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Map<String, List<DictModel>> translText = this.translateAllDict(dataListMap); |
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//step.3 将翻译结果填充到返回结果里
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for (JSONObject record : items) { |
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for (Field field : dictFieldList) { |
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String code = field.getAnnotation(Dict.class).dicCode(); |
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String text = field.getAnnotation(Dict.class).dicText(); |
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String table = field.getAnnotation(Dict.class).dictTable(); |
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String fieldDictCode = code; |
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if (!StringUtils.isEmpty(table)) { |
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fieldDictCode = String.format("%s,%s,%s", table, text, code); |
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} |
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String value = record.getString(field.getName()); |
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if (ObjectUtil.isNotEmpty(value)) { |
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List<DictModel> dictModels = translText.get(fieldDictCode); |
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if(dictModels==null || dictModels.size()==0){ |
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continue; |
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} |
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String textValue = this.translDictText(dictModels, value); |
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log.debug(" 字典Val : " + textValue); |
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log.debug(" __翻译字典字段__ " + field.getName() + DICT_TEXT_SUFFIX + "： " + textValue); |
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// TODO-sun 测试输出，待删
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log.debug(" ---- dictCode: " + fieldDictCode); |
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log.debug(" ---- value: " + value); |
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log.debug(" ----- text: " + textValue); |
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log.debug(" ---- dictModels: " + JSON.toJSONString(dictModels)); |
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record.put(field.getName() + DICT_TEXT_SUFFIX, textValue); |
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} |
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} |
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} |
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((PageResult)((CommonResult) result).getData()).setList(items); |
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} |
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} |
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} |
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/** |
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* list 去重添加 |
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*/ |
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private void listAddAllDeduplicate(List<String> dataList, List<String> addList) { |
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// 筛选出dataList中没有的数据
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List<String> filterList = addList.stream().filter(i -> !dataList.contains(i)).collect(Collectors.toList()); |
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dataList.addAll(filterList); |
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} |
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/** |
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* 一次性把所有的字典都翻译了 |
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* 1. 所有的普通数据字典的所有数据只执行一次SQL |
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* 2. 表字典相同的所有数据只执行一次SQL |
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* @param dataListMap |
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* @return |
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*/ |
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private Map<String, List<DictModel>> translateAllDict(Map<String, List<String>> dataListMap) { |
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// 翻译后的字典文本，key=dictCode
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Map<String, List<DictModel>> translText = new HashMap<>(5); |
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// 需要翻译的数据（有些可以从redis缓存中获取，就不走数据库查询）
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List<String> needTranslData = new ArrayList<>(); |
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//step.1 先通过redis中获取缓存字典数据
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for (String dictCode : dataListMap.keySet()) { |
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List<String> dataList = dataListMap.get(dictCode); |
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if (dataList.size() == 0) { |
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continue; |
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} |
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// 表字典需要翻译的数据
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List<String> needTranslDataTable = new ArrayList<>(); |
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for (String s : dataList) { |
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String data = s.trim(); |
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if (data.length() == 0) { |
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continue; //跳过循环
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} |
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if (dictCode.contains(",")) { |
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String keyString = String.format("sys:cache:dictTable::SimpleKey [%s,%s]", dictCode, data); |
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if (redisTemplate.hasKey(keyString)) { |
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try { |
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String text = redisTemplate.opsForValue().get(keyString).toString(); |
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List<DictModel> list = translText.computeIfAbsent(dictCode, k -> new ArrayList<>()); |
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list.add(new DictModel(data, text)); |
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} catch (Exception e) { |
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log.warn(e.getMessage()); |
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} |
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} else if (!needTranslDataTable.contains(data)) { |
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// 去重添加
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needTranslDataTable.add(data); |
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} |
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} else { |
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String keyString = String.format("sys:cache:dict::%s:%s", dictCode, data); |
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if (redisTemplate.hasKey(keyString)) { |
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try { |
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String text = redisTemplate.opsForValue().get(keyString).toString(); |
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List<DictModel> list = translText.computeIfAbsent(dictCode, k -> new ArrayList<>()); |
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list.add(new DictModel(data, text)); |
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} catch (Exception e) { |
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log.warn(e.getMessage()); |
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} |
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} else if (!needTranslData.contains(data)) { |
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// 去重添加
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needTranslData.add(data); |
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} |
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} |
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} |
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//step.2 调用数据库翻译表字典
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if (needTranslDataTable.size() > 0) { |
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String[] arr = dictCode.split(","); |
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String table = arr[0], text = arr[1], code = arr[2]; |
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String values = String.join(",", needTranslDataTable); |
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log.info("translateDictFromTableByKeys.dictCode:" + dictCode); |
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log.info("translateDictFromTableByKeys.values:" + values); |
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List<DictModel> texts = dictDataService.queryTableDictTextByKeys(table,text,code,needTranslDataTable); |
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log.info("translateDictFromTableByKeys.result:" + texts); |
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List<DictModel> list = translText.computeIfAbsent(dictCode, k -> new ArrayList<>()); |
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list.addAll(texts); |
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// 做 redis 缓存
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for (DictModel dict : texts) { |
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String redisKey = String.format("sys:cache:dictTable::SimpleKey [%s,%s]", dictCode, dict.getValue()); |
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try { |
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// update-begin-author:taoyan date:20211012 for: 字典表翻译注解缓存未更新 issues/3061
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// 保留5分钟
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redisTemplate.opsForValue().set(redisKey, dict.getText(), 300, TimeUnit.SECONDS); |
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// update-end-author:taoyan date:20211012 for: 字典表翻译注解缓存未更新 issues/3061
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} catch (Exception e) { |
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log.warn(e.getMessage(), e); |
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} |
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} |
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} |
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} |
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//step.3 调用数据库进行翻译普通字典
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return translText; |
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} |
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/** |
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* 字典值替换文本 |
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* |
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* @param dictModels |
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* @param values |
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* @return |
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*/ |
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private String translDictText(List<DictModel> dictModels, String values) { |
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List<String> result = new ArrayList<>(); |
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// 允许多个逗号分隔，允许传数组对象
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String[] splitVal = values.split(","); |
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for (String val : splitVal) { |
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String dictText = val; |
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for (DictModel dict : dictModels) { |
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if (val.equals(dict.getValue())) { |
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dictText = dict.getText(); |
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break; |
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} |
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} |
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result.add(dictText); |
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} |
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return String.join(",", result); |
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} |
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public static Field[] getAllFields(Object object) { |
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Class<?> clazz = object.getClass(); |
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List<Field> fieldList = new ArrayList<>(); |
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while (clazz != null) { |
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fieldList.addAll(new ArrayList<>(Arrays.asList(clazz.getDeclaredFields()))); |
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clazz = clazz.getSuperclass(); |
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} |
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Field[] fields = new Field[fieldList.size()]; |
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fieldList.toArray(fields); |
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return fields; |
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} |
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} |
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package cn.iocoder.yudao.module.system.dict; |
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import com.fasterxml.jackson.annotation.JsonIgnoreProperties; |
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import lombok.Data; |
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import lombok.EqualsAndHashCode; |
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import lombok.experimental.Accessors; |
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import java.io.Serializable; |
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/** |
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* @Description: 字典类 |
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* @author: jeecg-boot |
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*/ |
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@Data |
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@EqualsAndHashCode(callSuper = false) |
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@Accessors(chain = true) |
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@JsonIgnoreProperties(ignoreUnknown = true) |
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public class DictModel implements Serializable{ |
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private static final long serialVersionUID = 1L; |
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public DictModel() { |
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} |
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public DictModel(String value, String text) { |
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this.value = value; |
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this.text = text; |
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} |
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/** |
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* 字典value |
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*/ |
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private String value; |
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/** |
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* 字典文本 |
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*/ |
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private String text; |
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/** |
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* 特殊用途： JgEditableTable |
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* @return |
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*/ |
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public String getTitle() { |
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return this.text; |
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} |
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/** |
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* 特殊用途： vue3 Select组件 |
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*/ |
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public String getLabel() { |
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return this.text; |
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} |
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} |
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@ -0,0 +1,17 @@
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<?xml version="1.0" encoding="UTF-8"?> |
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<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> |
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<mapper namespace="cn.iocoder.yudao.module.system.dal.mysql.dict.DictMapper"> |
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<!-- 查询字典表的数据 支持设置过滤条件、设置存储值作为in查询条件 --> |
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<select id="queryTableDictByKeysAndFilterSql" parameterType="String" resultType="org.jeecg.common.system.vo.DictModel"> |
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select ${text} as "text", ${code} as "value" from ${table} where ${code} IN ( |
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<foreach item="key" collection="codeValues" separator=","> |
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#{key} |
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</foreach> |
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) |
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<if test="filterSql != null and filterSql != ''"> |
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and ${filterSql} |
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</if> |
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</select> |
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</mapper> |
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@ -0,0 +1,12 @@
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<?xml version="1.0" encoding="UTF-8"?> |
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<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> |
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<mapper namespace="cn.iocoder.yudao.module.system.dal.mysql.CpUser.CpUserMapper"> |
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<!-- |
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一般情况下，尽可能使用 Mapper 进行 CRUD 增删改查即可。 |
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无法满足的场景，例如说多表关联查询，才使用 XML 编写 SQL。 |
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代码生成器暂时只生成 Mapper XML 文件本身，更多推荐 MybatisX 快速开发插件来生成查询。 |
||||
文档可见：https://www.iocoder.cn/MyBatis/x-plugins/ |
||||
--> |
||||
|
||||
</mapper> |
||||
@ -0,0 +1,17 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?> |
||||
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> |
||||
<mapper namespace="cn.iocoder.yudao.module.system.dal.mysql.dict.DictMapper"> |
||||
|
||||
<!-- 查询字典表的数据 支持设置过滤条件、设置存储值作为in查询条件 --> |
||||
<select id="queryTableDictByKeysAndFilterSql" parameterType="String" resultType="cn.iocoder.yudao.module.system.dict.DictModel"> |
||||
select ${text} as "text", ${code} as "value" from ${table} where ${code} IN ( |
||||
<foreach item="key" collection="codeValues" separator=","> |
||||
#{key} |
||||
</foreach> |
||||
) |
||||
<if test="filterSql != null and filterSql != ''"> |
||||
and ${filterSql} |
||||
</if> |
||||
</select> |
||||
|
||||
</mapper> |
||||
@ -1,24 +1,27 @@
|
||||
#3.2.1以上使用 |
||||
#3.2.1???? |
||||
modulelist=com.baomidou.mybatisplus.extension.p6spy.MybatisPlusLogFactory,com.p6spy.engine.outage.P6OutageFactory |
||||
#3.2.1以下使用或者不配置 |
||||
#3.2.1????????? |
||||
#modulelist=com.p6spy.engine.logging.P6LogFactory,com.p6spy.engine.outage.P6OutageFactory |
||||
# 自定义日志打印 |
||||
# ??????? |
||||
logMessageFormat=com.baomidou.mybatisplus.extension.p6spy.P6SpyLogger |
||||
#日志输出到控制台 |
||||
#???????? |
||||
appender=com.baomidou.mybatisplus.extension.p6spy.StdoutLogger |
||||
# 使用日志系统记录 sql |
||||
# ???????? sql |
||||
#appender=com.p6spy.engine.spy.appender.Slf4JLogger |
||||
# 设置 p6spy driver 代理 |
||||
# ?? p6spy driver ?? |
||||
deregisterdrivers=true |
||||
# 取消JDBC URL前缀 |
||||
# ??JDBC URL?? |
||||
useprefix=true |
||||
# 配置记录 Log 例外,可去掉的结果集有error,info,batch,debug,statement,commit,rollback,result,resultset. |
||||
# ???? Log ??,????????error,info,batch,debug,statement,commit,rollback,result,resultset. |
||||
excludecategories=info,debug,result,commit,resultset |
||||
# 日期格式 |
||||
# ???? |
||||
dateformat=yyyy-MM-dd HH:mm:ss |
||||
# 实际驱动可多个 |
||||
# ??????? |
||||
#driverlist=org.h2.Driver |
||||
# 是否开启慢SQL记录 |
||||
# ?????SQL?? |
||||
outagedetection=true |
||||
# 慢SQL记录标准 2 秒 |
||||
# ?SQL???? 2 ? |
||||
outagedetectioninterval=2 |
||||
|
||||
filter=true |
||||
exclude=QRTZ_,ACT_, |
||||
@ -0,0 +1,20 @@
|
||||
package cn.iocoder.yudao.module.farm.annotation; |
||||
|
||||
import lombok.Getter; |
||||
|
||||
@Getter |
||||
public enum FarmMsgType { |
||||
|
||||
PROJECT, |
||||
TASK, |
||||
DISCUSS, |
||||
|
||||
|
||||
CREATE, |
||||
UPDATE, |
||||
SELECT, |
||||
EDIT, |
||||
DELETE, |
||||
|
||||
NONE; |
||||
} |
||||
Loading…
Reference in new issue